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Dr. Kochhar was Associate Vice-President of Operations at the Canadian Food Inspection Agency (CFIA) from 2015 to 2017, and was Canada's Chief Veterinary Officer and Canada's Delegate to the World Organization for Animal Health. He was responsible for delivering food inspection services across the country, as well as managing plant health and animal health issues. During his tenure at the CFIA, Dr. Kochhar managed several high profile cases to ensure the safety of Canada's food supply, including the official response to Canada's largest beef recall (XL foods).
Dr. Kochhar started his career by practising veterinary medicine in south-western Ontario. He has a MSc in Theriogenology and a PhD in Reproductive Biotechnology from the University of Guelph where he also was an Assistant Professor at the Ontario Veterinary College.
Among other awards, in 2012, Dr. Kochhar was honoured with a Queen Elizabeth II Diamond Jubilee Medal for his professional and volunteer contributions, and in 2017, he was awarded the Canada 150 Medal for community services.
","Title":"Dr.","FirstName":"Harpreet","LastName":"Kochhar","Position":"President","Organization":"Public Health Agency of Canada","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3c33ded3c00a4bdfbe0541ee969385d7","IsPresentingAuthor":false,"Order":null,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"This keynote address explores the topic of advancing the application of science and research into policy and decision-making and its various challenges.

The Government of Canada, through the Public Health Agency of Canada (PHAC), has exercised its leadership role in protecting and promoting the health of Canadians while navigating through the COVID-19 pandemic, as well as leveraging lessons learned to date. This includes how data and science have helped inform decision-making regarding public health measures; how insights from behavioural science have been leveraged; and how the One Health approach has been applied.

This presentation will examine the accelerated pace of science and evidence during the pandemic, the importance of public trust and credibility in a climate of mis- and dis-information, and how PHAC effectively communicated public health messaging to the Canadian population in a rapidly evolving evidence base and pandemic.

Looking to the future, addressing these key data, science, behaviour, and public health risk communication components is critical for policy-making in the continued work on COVID-19, as well as more recently on the monkeypox outbreak, and on future emerging and re-emerging public health challenges. Now, more than ever, there is a need for coordinated efforts to support the place of science in decision-making towards increasing the impact of public health interventions in this increasingly globalized and complex environment where viruses know no borders.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Harpreet Kochhar","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"50733041-0014-4f42-bd93-1bc01e640e93","StartTimeString":"8:30 AM","EndTimeString":"9:30 AM","StartToEndTimeString":"8:30 AM - 9:30 AM","StartToEndTimeSortString":"8:30 AM - 9:30 AM","DisplayDetails":"Opening Ceremony and Keynote Address \"Enhancing Successful Research Translation into Policy\"
Speaker: Dr. Harpreet S. Kochhar","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"8:30 AM - 9:30 AM","StartTimeOverrideString":"8:30 AM","EndTimeOverrideString":"9:30 AM","StartToEndTimeOverrideString2":"8:30 AM - 9:30 AM","BaseStartDateTime":"2022-08-08T08:30:00+00:00","BaseEndDateTime":"2022-08-08T09:30:00+00:00","BaseStartDateTimeOverride":"2022-08-08T08:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T09:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T11:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T12:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T11:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T12:30:00.0000000+00:00"},{"Id":"e60e285d-2998-45ee-aab4-3838fb66c44e","SessionBlockId":null,"Name":"Monday AM Bio Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"09:30:00","EndTime":"10:00:00","StartTimeOverride":"09:30:00","EndTimeOverride":"10:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom Salon","Track":null,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e60e285d-2998-45ee-aab4-3838fb66c44e","StartTimeString":"9:30 AM","EndTimeString":"10:00 AM","StartToEndTimeString":"9:30 AM - 10:00 AM","StartToEndTimeSortString":"9:30 AM - 10:00 AM","DisplayDetails":"Monday AM Bio Break │ Exhibits","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"9:30 AM - 10:00 AM","StartTimeOverrideString":"9:30 AM","EndTimeOverrideString":"10:00 AM","StartToEndTimeOverrideString2":"9:30 AM - 10:00 AM","BaseStartDateTime":"2022-08-08T09:30:00+00:00","BaseEndDateTime":"2022-08-08T10:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T09:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T10:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T12:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T13:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T12:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T13:00:00.0000000+00:00"},{"Id":"791f6711-f679-4a3f-a672-0c7df75e4923","SessionBlockId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","Name":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Sustainability of dairy cow housing: how living space effects production, fertility and behaviour","PresentationBio":null,"Title":"Dr.","FirstName":"Jake","LastName":"Thompson","Position":"","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The study aim was to quantify the effect of an increased living space allowance on the production, reproduction and behaviour of adult dairy cows.
Method
A 12-month randomised controlled trial was undertaken in a unique, purpose-built facility, which allowed internal layout reconfiguration. All elements of the trial were conducted under license, in accordance with government regulations.
Adult Holstein dairy cows (n = 150) were randomly allocated to a ‘high’ living space group (living space = 6.5m², total space = 14m²) or ‘commercial average’ living space group (living space = 3m², total space = 9m²); all other aspects of the housed infrastructure (e.g. feed-face length, lying areas) were identical between groups.
Production data (daily milk volume, rumination and bodyweights) were recorded automatically from Lely Astronaut A4 milking robots. Reproductive data collected were conception, service, milk progesterone and anti-Mullerian hormone. Behaviour data was collected every 7s using geolocation sensors (Omnisense).
All data analyses were undertaken in r statistical software, including survival analysis, mixed-effects-modelling, non-linear regression and bootstrapping methods.
Results
Compared to cows in the commercial average space group, cows with increased space, produced more milk per 305 day lactation (first parity cows; 12235L vs 11592L, P<0.01, parity >1 cows 14746L vs 14644L, P<0.01) but took longer to conceive (135d vs 101d, P<0.05). Cows with less living space spent less time in lying (64 minutes/d) and feeding (10 minutes/d) areas, and more in passageways (67 mins/d).
Conclusions
This is the first long term study in dairy cows to demonstrate that increased living space results in meaningful benefits in terms of productivity and welfare. It is likely that additional living space will be of benefit to adult dairy cows but further research is required into generalisability and cost-effectiveness of providing increased space to ensure it’s sustainable.
Keywords:
Dairy cow, Housing, Production, Welfare, RCT","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["21c6493c-d758-4b04-ada0-31630a7d6827","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","33998207-8c57-4717-9114-ccf9182e92bf","cb344d68-5710-46be-a916-dd122f96ab66","df5d618c-3702-4d9c-95b6-0ad39c8b6184","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jake Thompson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Psychosocial factors associated with bovine viral diarrhoea control by UK farmers","PresentationBio":null,"Title":"Dr.","FirstName":"Naomi","LastName":"Prosser","Position":"Research Fellow","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Disease control in livestock is often farmer-led, with farmers making decisions for their livestock. Psychosocial factors important in uptake of human health protection behaviours have often not been investigated in livestock disease. This study investigated psychosocial factors associated with bovine viral diarrhoea (BVD) control by farmers.

Altruism, psychological proximity, trust and the COM-B behaviour change framework were investigated using validated measurement scales in a survey completed by 475 UK cattle farmers. Latent class analysis divided farmers by BVD controls used, and associations between these classes and psychosocial and COM-B factors were investigated using multinomial logistic regression.

Farmers divided into five BVD control classes, with doing nothing the baseline class in the regression model. Farmers with higher psychological proximity to their vet and less trust in other farmers were more likely to use many methods of BVD control (vaccination, separation from other cattle and test/isolate new cattle purchased only from BVD-free herds). Farmers with less trust in other farmers were also more likely to have a closed herd separated from neighbouring cattle, while higher trust in farmers was associated with testing/isolating new cattle which were purchased from BVD-free herds. A higher understanding of how and why to control infectious disease and having more time and money to do so were associated with having a closed herd separated from neighbouring cattle. Farmers who were more motivated to control disease (both by automatic habits and emotions and reflective plans and goals) were more likely to vaccinate, either alone or with other methods.

Diverse and novel psychosocial factors were found to be important in the control of BVD by farmers. These have implications for effective disease control and encouraging farmers to move into the most proactive BVD control classes, such as through promoting a close vet-farmer relationship.

Bovine viral diarrhoea, Farmer behaviour, Psychosocial factors","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","df5d618c-3702-4d9c-95b6-0ad39c8b6184","1304e690-d6da-410b-9c6d-a8c1adf431e9","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Naomi Prosser","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk factors for BVDV introduction into Dutch dairy herds in a national control programme","PresentationBio":null,"Title":"Prof.","FirstName":"Gerdien","LastName":"van Schaik","Position":"Epidemiologist","Organization":"GD / UU","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4dfb6737047d4732b20b9b3a840a0d80","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"After many years of voluntary control and decreasing prevalence, a national control programme for bovine viral diarrhoea virus (BVDV) is in place for Dutch dairy herds since 2018. Introduction of BVDV is minimized by regulations with respect to purchase of cattle from herds with a lower BVDV status. However, BVDV was introduced in several tens of herds in 2019-2021. The aim of the study was to determine risk factors for introduction of BVDV in the context of the national control programme.
In a case-control design, herds with a confirmed BVDV introduction (cases) were compared with control herds that were located near the case herd, which remained free of BVDV. Both case and control herds were visited by a veterinarian and an extensive questionnaire was applied about the possible risk factors for BVDV introduction in the previous two years. In total, 149 cases and 148 controls were visited. Logistic regression analysis was carried out to determine the significant risk factors (P<0.05).
The final multivariable model consisted of seven risk factors. Purchasing cattle from non-free herds (OR=1.25) and cattle from other herds that escaped and mingled with cattle from the own herd (OR=1.16) were risk factors related to direct animal contact. Risk factors for indirect external contact were distance of less than 500m to beef cattle herds (OR=1.15), a permanent employee (OR=1.17), and the farmer working outside the farm in other cattle herds (OR=1.25). Risk factors that seemed more related to internal biosecurity were housing of adult cattle and calves in the same barn (OR=1.22) and use of a group pen for calving (OR=1.16).
In conclusion, the risk factors for introduction of BVDV in free herds varied considerable between herds and had fairly low odds, indicating that there were many smaller biosecurity risks that need to be mitigated.

BVDV, biosecurity, control programme","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Gerdien van Schaik","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Improving models of bovine viral diarrhoea transmission by asking farmers questions\r\n","PresentationBio":null,"Title":"Dr.","FirstName":"Ewan","LastName":"Colman","Position":"","Organization":"University of Edinburgh","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/81025253f0c24e04abcdb012eb19dc92","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objective
Bovine Viral Diarrhoea (BVD) is a costly endemic infectious disease in England. A scheme was introduced that gives farmers certification for keeping their herds free of BVD - the expectation is that uptake of the scheme will grow through peer-pressure and emergent financial incentives. To predict whether or not this will happen, we aim to better understand the motivations of farmers and to integrate the diversity of behaviours into an epidemiological model.

2. Materials and methods
We surveyed 42 farmers in the North of England with a questionnaire on past and present attitudes towards the management of BVD. We applied a novel algorithm to these data to reveal clusters of associated traits. These clusters, along with a database of animal movements in the UK, were used to inform an agent-based simulation of BVD transmission and scheme uptake.

3. Results
From the survey, we found that past experiences of BVD are associated with higher concern about the disease and more faith in the effectiveness of biosecurity, traits associated with the sharing of information are clustered together, and farmers that do little to protect their cattle tend to be less knowledgeable about the disease, to give just a few examples. Introducing this heterogeneity of behaviours into our model changed the outcomes substantially; while eradication became harder to achieve, we found that additional targeted measures can remedy this.

4. Conclusion
Modelling is a valuable resource for predicting and assessing the effectiveness of disease control. However, oversimplifying the diversity of attitudes and behaviour can lead to models that fail to accurately recreate the dynamics of transmission. We use BVD to illustrate this point and we believe our results are relevant to many other domains.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","1304e690-d6da-410b-9c6d-a8c1adf431e9","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":"ewancolman","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"ewancolman","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=ewancolman","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=ewancolman","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ewan Colman","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Linear regression model to estimate the within herd prevalence of bovine leukemia virus from antibody titers detected by ELISA in bulk tank milk ","PresentationBio":null,"Title":"Mr.","FirstName":"Simon","LastName":"Bourassi","Position":"Phd- Student","Organization":"Atlantic Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/08bb850f15aa4aaca09d7170025ee468","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The primary objective of this study was to build and validate a linear regression model to predict within-herd prevalence of Bovine Leukemia Virus (BLV) using Bulk Tank Milk (BTM) antibody titers. A secondary objective was to determine the stability of the prediction model over a three-year period.

Materials and methods

True within-herd prevalences of 31 dairy herds in Atlantic Canada were determined in 2021 and 2022 by serological testing of all cows contributing to BTM during the trial period using a commercial indirect BLV antibody ELISA. Three bi-monthly (March to July) BTM samples were tested in triplicate to determine BTM antibodies at the herd level; because the triplicate results were highly correlated, their mean was used for analysis. Seven simple linear regression models for true herd-level prevalence (square-root scale) were built each year, with the predictor consisting of either single BTM round results or averages from multiple rounds. The best predictive model from BTM sampling was selected and cross-validated. Models were compared between years to evaluate the stability of the model’s slope and intercept over time.

Results:

In 2021, all mature cows (n=3907) were tested to determine the true within-herd prevalences. All possible combinations of the BTM testing rounds correlated well with the true within-herd prevalence (minimum R2 > 0.61). A model including the first two BTM rounds of testing (averaged) as the predictor had the best fit (R2=0.73) and best predictivity (predictive R2=0.70).

Conclusion
Development and validation of a stable model using two BTM samples could be key components of an economical tool to monitor the within-herd prevalence for BLV, which in turn could be applied to a surveillance and control program for BLV.

Keywords: Bovine Leukemia Virus, Herd-level prevalence, Bulk tank milk, sampling
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","5178adf1-eaeb-4d5b-8fce-b18677488f5a","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Simon Bourassi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Field evaluation of a vaccine that reduced Bovine Leukemia Virus (BLV) transmission in cattle","PresentationBio":null,"Title":"Mr.","FirstName":"Gustavo","LastName":"Monti","Position":"Associate Professor","Organization":"Wageningen Univeristy and Research","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a1daf9ca0af64ca5876cac9ff09018f5","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
The study was aimed to quantify individual transmission of BLV among herdmates, for BVL-vaccinated bovines, in an experimental field trial.

Materials and methods
A longitudinal study was conducted in 72 bovines at INTA’s experimental farm in Rafaela, Argentina, from February 2016 to February 2021, using four cohorts. Twenty-nine bovines received a live BLV attenuated virus as the vaccine.
With naturally infectious animals, a cohabitation design was implemented, in which vaccinated and non-vaccinated animals were managed together in a double-blinded design (for personnel or professional staff). All animals were bled and tested every three months by ELISA and every six months by qPCR for virus detection and load assessment; over 48-month follow-up period.
Using ELISA and qPCR, the incidence rates (IR) and the basic reproduction ratio (R0) were calculated. The effective transmission coefficient (β) was estimated using a zero-inflated model (GLM) with a negative binomial distribution, a log link, and (SI/N) as an offset variable. IR and were calculated for both vaccinated and unvaccinated animals.

Results
The incidence ratio was 47.7, with IRnon-vac at 90,6 per 100,000 animals at risk per year, IRvacc at 1.9 per 100,000 animals at risk per year, and IRvacc at 1.9 per 100,000 animals at risk per year.
With a statistically significant difference, the βnon-vaccinated was 1.1e-2 per month (95% CI 4.5e-3; 2.4e-2) and for vaccinated was 4.9e-5 per month (95% CI 1.9e-6; 1.2e-3) The median infectious durations for the non-vaccinated and vaccinated groups were 28.5 and 7.5 months, respectively. As a result, R0non-vac= 5.82 (95% CI 3.87-21.18) and R0vacc= 0.01 are calculated (95% CI 0.0004-0.27).

Conclusion
According to the results, the new vaccination considerably reduces and delays viral infection in animals. It could be a crucial strategic tool for controlling the infection, especially when infection rates are high and testing and removal are difficult.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Gustavo Monti","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bovine viral diarrhea virus antibody response to a single dose of modified live vaccine and associated factors in smallholder dairy cattle in Meru Kenya","PresentationBio":null,"Title":"Dr.","FirstName":"Daniel","LastName":"Muasya","Position":"Phd Candidate","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5a8ae006a28140a3b0e0be06eac8649b","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Good vaccination response is important in the prevention of bovine viral diarrhea virus (BVDV) where the infection is endemic. BVDV is prevalent in Kenya but there is limited vaccination. Study objectives were to determine: antibody response variability for BVDV vaccination in cows and heifers on smallholder dairy (SHD) farms in Kenya; and factors associated with this vaccination variability in order to guide SHD farmers on strategic vaccination practices.
Materials and methods: This study utilized a single BVDV modified live vaccine injection in 128 non-pregnant cows and 109 heifers over 6 months old. ELISA tests before and three weeks after vaccination determined sample-to-positive (S/P) ratios for BVDV antibody levels. Multivariable linear regression analysis modeling was used to determine factors associated with the change in antibody levels.

Results:Before vaccination, 40.6% and 7.3% of cows and heifers tested positive for BVDV antibodies (S/P ratio > 0.3), respectively. The mean increase in S/P ratio post-vaccination was 0.476 and 0.804 for cows and heifers, respectively. In the final cow model, factors associated with the change in BVDV antibody S/P ratios included: body condition score (BCS), feeding protein supplements, and post-partum disease, along with abnormal physical exam findings and BVDV antibody test status on visit1. There was also an interaction between days in milk, age and feed supplementation. For heifers, factors associated with the change in BVDV antibody S/P ratios included: heifer numbers, acaricide use, communal grazing, and BVDV antibody test status on visit1. There was an interaction between BCS and raising one’s own replacement heifers.
Conclusions:The study recommends planning vaccination against BVDV when: having a good BCS of between 2 and 2.75, using more post-calving supplementation, having good health status during vaccination and ensuring regular ectoparasite control for maximum BVDV vaccine response on SHD farms.
Key words: BVDV, antibody response, SHD, BCS
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Daniel Muasya","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The isolation of bacteria causing mastitis and theirs antimicrobial drug sensitivity in dairy cattle raised in western Thailand during year 2011-2020.","PresentationBio":null,"Title":"Dr.","FirstName":"Pipat","LastName":"Arunvipas","Position":"Associate Professor","Organization":"Kasetsart University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9f38c178e6b54ab590e4f58bedaf810c","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: the aim of this study was to describe the bacterial pathogen species causing clinical and subclinical bovine mastitis and their antimicrobial drug sensitivity in dairy cattle raised in western Thailand.
Materials and methods: a retrospective study of bacterial isolates and theirs antimicrobial drug sensitivity records during 2011 to 2020 was conducted. A total of 6,825 milk samples from clinical and subclinical bovine mastitis were submitted to the Diagnostic Microbiological Laboratory of Kasetsart Veterinary Teaching Hospital-Nhongpho, Ratchaburi province, Thailand. The proportion of bacterial isolates for each year and their antimicrobial drug sensitivity were reported as descriptive statistics. Test of the association between proportion of bacterial isolates and their antimicrobial drug sensitivity and time period were performed using the Chi-square test.
Results: Bacterial isolates were classified into 7 groups which were environmental streptococci and streptococci-like organisms, gram-positive non-streptococci&staphylococci, coliform, Streptococcus agalactiae, gram-negative-non-coliform, coagulase-negative staphylococci and Staphylococcus aureus. On average, the isolate proportions were 41.15±2.38%, 7.59±1.28%, 6.84±0.66%, 3.67±1.06%, 2.90±0.44%, 2.85±0.53%, 0.80±0.24%, respectively. There was no significant difference of isolate proportions during time period. The antimicrobial drug sensitivity test revealed that amoxycillin and clavulanic acid had the highest antimicrobial efficacy on the 7 bacterial groups. While coliform and gram-negative non-coliform isolates tended to exhibit a resistance to most antimicrobial drugs. When time was considered, antimicrobial drug sensitivity of some bacterial groups significantly differed by time.
Conclusions: environmental streptococci and streptococci-like organisms were major pathogens causing mastitis in dairy cattle raised in western Thailand. While coliform and gram-negative non-coliform tended to exhibit a resistance to all antimicrobial drugs.

Keywords: mastitis, bacterial isolate, drug sensitivity, dairy cattle, Thailand","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Pipat Arunvipas","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-08T10:00:00+00:00","BaseEndDateTime":"2022-08-08T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-08T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T15:00:00.0000000+00:00"},{"Id":"c3da4b58-e0d3-444a-9da4-234629371ecf","SessionBlockId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","Name":"Breakout Session 1.A - Capacity building in national veterinary service","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Monitoring and evaluation of twinning as a capacity building intervention in animal health laboratories","PresentationBio":null,"Title":"Dr.","FirstName":"Mariana","LastName":"Marrana","Position":"Programme Manager","Organization":"World Organisation for Animal Health","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/58e1271fcf4d49858b09a3eca8f33a68","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Animal health is interconnected to the health of humans and ecosystems in countless ways. Historically, disease emergence at the interface between animals and humans has always been important. Yet, recent increases in the frequency of spill-over events combined with the impact of zoonotic diseases have increased the importance of this interface and the need to monitor diseases across species. Disease detection, surveillance, prevention and treatment must be supported by well-functioning laboratory networks which are a fundamental part of public and animal health systems. However, access to veterinary laboratory expertise has an uneven global distribution. To address this problem, the World Organisation for Animal Health (OIE) launched a Laboratory Twinning Programme in 2006. In this paper, we discuss the design of a monitoring and evaluation (M&E) framework for capacity building in laboratories which will be applied to the OIE Laboratory Twinning Programme.

Materials and methods
A literature review surveying policy responses at the intersection between public and animal health was conducted. While its broad scope covered national, regional, and global strategies to support and safeguard global health, the review’s focus was ultimately narrowed down into the analysis of M&E frameworks for laboratory capacity building interventions. Existing M&E mechanisms and their metrics were examined, and the aspects relevant for the creation of an M&E framework for the OIE Laboratory Twinning Programme were retained.

Results
A preliminary M&E framework for the OIE Laboratory Twinning Programme has emerged from this work. It will be tested in selected case studies and adapted as needed to allow for implementation in other capacity building initiatives.

Conclusion
Additional time and work are needed to implement the preliminary M&E in selected case studies and thereby observe and characterise the long-term impact of projects for beneficiary countries and the sustainability of the capacities acquired by twinning candidates.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["978aef2c-117a-4e1c-b105-03f159c579de","8fc4d524-a96c-44ab-af7e-21be4a6db35f","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","b838af4f-bddf-4b1b-84d6-642a51a831fd"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mariana Marrana","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Mapping the global distribution of veterinarians to improve diseases surveillance.","PresentationBio":null,"Title":"Prof.","FirstName":"Thomas","LastName":"Van Boeckel","Position":"Professor","Organization":"ETH Zurich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Infectious diseases are a growing threat to the health of humans and animals. For humans, numerous infectious diseases, and medical capacities to respond to them have been mapped at a sub-national scale. This has helped improve health systems locally, and target surveillance efforts. In contrast, in animals, information on the geographic distribution of veterinarians is seldom and heterogeneous between countries, and a globally harmonized map of veterinarians is still lacking. Here we attempt to fill this gap: we mapped veterinarians densities using a geospatial model that combines open data on their location with socioeconomic covariates.

Materials and Methods
We used web-scraping to retrieve the addresses of 190,000 veterinarians from 181 countries who were registered on online platforms, phonebooks, union registries, as well as in the OpenStreetMap. We identified candidate covariates associated with veterinarian location including population density, gross domestic product, travel time to cities, pastures density, yearly minimum monthly temperature, as well as cattle, chicken, and pig densities. An inhomogeneous log-Gaussian Cox process was used to predict the number of veterinarians at 10x10 kilometres globally. Model were fitted using Integrated Nested Laplace Approximation to incorporate uncertainty in the spatial predictions.

Results
We produced a global grid of veterinarian density at 10x10 km (vetmap). In Europe, the comparison of the grid with maps of animal densities, enabled the identification of “coldspots” of veterinarian density that could have implication for disease detection. Covariates that were strongly predictive of the density of veterinarians were human population density, gross domestic product, and animal densities.

Conclusions
The vetmap will be freely available at https://resistancebank.org, to support decision-makers to prioritize actions when allocating resources to develop veterinary capacities between regions.

Keywords: veterinarians; web-scraping; livestock; point patterns; surveillance; disease mapping
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Emerging and reemerging diseases have causes substantial costs globally. These effects range from impacts on trade and consumption to production and animal morbidity and mortality. This analysis aims to understand the impact of transboundary and zoonotic diseases on agricultural production efficiency as it relates to disease events over time while accounting for the relative economic situation of the effected country.
MATERIALS AND METHODS
A dataset is created from production indicators, climate factors, input use, and consumption data by the FAO and OECD, and is coupled with reportable animal diseases in the World Animal Health Information System (WAHIS) through the World Organization for Animal Health (OIE). Using indicators for times of known zoonotic diseases, a comparison of production changes is calculated using regression analysis. These results are compared across countries accounting for economic indicators such as gross domestic product (GDP) per capita.
RESULTS
Preliminary results indicate heterogenous effects across countries as a result of the emergence of zoonotic and transboundary diseases. These effects vary over time and by country income level (low, middle, or high income), where introduction of a zoonotic disease disproportionately effect low-income countries. These results may be explained by differences in access to healthcare for both humans and animals, cost of preventative control measures, or the integrated production systems.
CONCLUSION
Transboundary and zoonotic diseases are likely to continue to emerge with climate change and increased globalization. This study shows that these effects differ by country income level and over time. Understanding the losses in productivity resulting from a disease helps to provide the necessary context for investments in globabl animal producers. To protect global animal health, investments in low- and middle-income countries can help to bolster frontline biosecurity, encourage reporting, and aid in response.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Jada Thompson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The Quads Epiteam: report on key outputs and current research activities","PresentationBio":null,"Title":"Ms.","FirstName":"Charlotte","LastName":"Cook","Position":"Scientific Relationship Manager","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Epidemiology, Modelling, Collaboration

Objectives
In 2005 the Quadrilateral Animal Health Emergency Management Group held a workshop on modelling to support decision making in a disease emergency, with a focus on the epidemiological modelling experience gained during and after the 2001 UK Foot and Mouth Disease (FMD) outbreak. New Zealand, Australia, USA, Canada, and UK governments agreed to support formation of the Quadrilateral (Quads) Animal Health Epiteam. The Epiteam aims to foster collaboration and increase capacity and capability around the development, validation and use of animal disease spread models. This presentation summarises the Epiteam’s activities and achievements to date.

Materials and Methods
Using data from the 2001 UK FMD outbreak and other scenario settings across participating countries, the Epiteam has undertaken a series of projects to develop model parameters, compare independently developed epidemiological models, evaluate FMD control strategies e.g., effective vaccination scenarios, and assess the wider implications of disease outbreaks in livestock. The Epiteam have used both shared-challenge and country-specific scenarios to cross-validate models and investigate driving elements of epidemics and intervention strategies.

Results
The Epiteam’s main outputs are (1) actionable information to inform development of disease control policy and outbreak metrics including early indicators of outbreak severity, (2) methodological developments on validation, verification, and review of complex epidemiological models, (3) capability and capacity development in complex epidemiological models used and developed in member countries, and (4) compilation of data-libraries of simulated FMD outbreaks to supplement outbreak data.

Conclusion
Through long-term collaboration, relationship building and a partnership approach to shared projects the Epiteam has improved animal disease outbreak response policies and grown a critical mass of expertise in a specialist area of epidemiological modelling. Pooled expertise allows member countries to request support in times of emergency, obtain independent advice and meet increased expectations of infectious disease outbreak response in the COVID-era.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Charlotte Cook","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Emergency Veterinary Executive Network (EVENT): Response capacity building for outbreaks in livestock and poultry","PresentationBio":null,"Title":"Dr.","FirstName":"Yvette","LastName":"Johnson-Walker","Position":"Lecturer","Organization":"University of Illinois","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/179b2c35da0841c9a69f48b4bae941f1","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives:
The National Animal Disease Preparedness and Response Program (NADPRP) was developed to enhance efforts to keep high-consequence animal diseases from entering and spreading in the US. A NADPRP cooperative agreement with the University of Illinois created the Executive Veterinary Emergency Network (EVENT) to build stronger prevention plans and improve US Foreign Animal Disease (FAD) outbreak preparedness and response capabilities.

Methods:
Midwest (Illinois, Iowa, Indiana, Ohio, Michigan, Wisconsin, Minnesota, and North and South Dakota) Regional participants included State Animal Health Officials, USDA Area Veterinarians-In-Charge, other regional emergency response personnel and national agricultural industry stakeholders. A virtual program was developed using Zoom© and the CGScholar© learning management system. EVENT was delivered from June - October 2021. EVENT contained five modules (Communications during FAD response; Depopulation and Euthanasia; Carcass Management and Vaccination; Surveillance and Diagnosis; and Permitted Movement, Business Continuity, Trade, and FAD Recovery). Catalytic speakers opened each two, half-day module of presentations followed by small group (8-12 people) breakout rooms.

Results:
Ninety-two stakeholders engaged in EVENT. Catalytic speakers with extensive expertise in US FAD response delivered engaging module kickoffs. Participants problem solved and shared experiences. Participants reported that EVENT improved their knowledge on NADPRP topics.

The virtual delivery method increased participant access to the modules eliminating travel-associated expenditures. The time commitment was limited to direct actual work on NADPRP topics. This allowed more animal health officials and related stakeholders to attend and contribute. Networking between participants occurred mainly in breakout rooms. Icebreaker activities encouraged participants to get to know each other.

Conclusions:
Virtual environments improved many aspects of FAD preparedness and response. FAD experiences shared by participants was valuable. FAD gaps were identified in each module. Participants were encouraged to use knowledge gained, emergency responses shared, and gaps identified to improve on their own FAD preparedness and response plans. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["07442f92-20d6-40eb-b297-c4897bc5781e","cb344d68-5710-46be-a916-dd122f96ab66","978aef2c-117a-4e1c-b105-03f159c579de","02f86f29-9eae-4d8d-b937-84e31f38e74d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Yvette Johnson-Walker","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Improving animal health services in Pakistan","PresentationBio":null,"Title":"Mr.","FirstName":"Javed","LastName":"Iqbal","Position":"Programme Manager","Organization":"Brooke","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c5b60c1c32ed41ae9821b335124ff624","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Brooke Pakistan, a Non-Government Organisation focused on improving the lives of working equids, work with local Animal Health Providers (AHP; veterinarians and veterinary paraprofessionals) to strengthen the structure and quality of animal health provision. Despite success in improving the quality of care, uptake remains lower than anticipated. This research aimed to identify challenges impacting the uptake of recommended animal health services.

Materials and methods: Qualitative data were collected through semi-structured interviews with AHPs, animal owners who use recommended services, and those who do not. Participants were initially recruited through key informant interviews, a snowball approach was then used and data were collected until saturation. A total of 231 users, 434 non-users, and 49 AHPs participated in the study. Data were analysed thematically using an inductive, semantic approach.

Results: Seven themes were developed:
1.\tThe role of family, particularly women, in making decisions about animal health care
2.\tAn animals’ role and economic value and budgeting for its health care
3.\tThe cost of animal health care and an expectation for free or subsidised treatment
4.\tKnowledge about recommended AHPs and their capacity to treat equids
5.\tAHP communication style
6.\tAHP availability and accessibility
7.\tThe use of traditional treatments and healers

Conclusion: The findings identified potential barriers and opportunities for change, including further improvement to the services provided by AHPs. In particular, the ability to build rapport with clients and fully explain diagnosis and rationale for treatment was important. The lack of satisfaction with recommended AHPs was often described in conjunction with the contrasting experience of visiting a traditional healer who were said to have a good rapport with owners. The findings are being used to inform Brooke Pakistan’s work with universities to improve veterinary curricula.

Keywords: Animal health provision; Pakistan; working equids; uptake of animal health services
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Javed Iqbal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Financial expenditure on herd health in smallholder pig farming systems in Uganda","PresentationBio":null,"Title":"Mr.","FirstName":"Michel","LastName":"Dione","Position":"Senior Scientist","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
Expenditure on herd health is informed by farmers’ risk perception among other factors. We assessed the factors that influence smallholder pigs’ farmers expenditures in herd health in Uganda.

Materials and methods
A cross-sectional survey of 959 small-holder pig farmers (75.7% male) was conducted in two districts of Uganda in April 2015. Semi-structured questionnaires were administered. A total of 482 (50.3%) farmers were from Masaka district while 477(49.3%) were residents of Lira district. Linear regression models were fitted to analyze the data to understand the factors that inform the farmers financial expenditure on herd health.

Results
The amount spent on medical treatment of pigs was significantly related to the total herd size, with annual expenditure increasing by UGX 11,672.91 (95% CI: 8,494.72 – 14,851.09, p=0.00) for every extra pig kept. Farmers with high level of education invested more money on herd health. There was an increase in expenditure of UGX 10,952.67 (95% CI: 1580.95 - 20324.38 p=0.02) on pig health for every unit increase in level of education. Farmers were ready to spend money on ASF control practices. There was an annual increase in herd health expenditure of UGX 134,560.10 (95% CI: 31777.76 - 237342.5 p=0.01) for every new ASF control practice adopted. There was a direct and significant relationship between saving money and obtaining information about ASF from fellow group members. Farmers who reported obtaining information about ASF from group members saved UGX 130,601.20 (95% CI: 74304.75 - 321871.20 p=0.01) per year for every unit increase in information obtained from group members.

Conclusion:
Extension service providers should invest in education of group members who will cascade the lessons to communities. More information on ASF leads to production savings by smallholder pig producers.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Michel Dione","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evidencing the current state of Animal Health Systems in low and middle-income countries","PresentationBio":null,"Title":"Miss","FirstName":"Klara","LastName":"Saville","Position":"Head Of Global Animal Health","Organization":"Brooke","PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Key words: One Health, Animal Health Systems, Advocacy, Zoonoses, Sustainable Development Goals

Objective

One Health is an approach that recognises that the health of people is closely connected to the health of animals and the wider environment. Yet in many low and middle-income countries critical shortages in the veterinary workforce, medicines and vaccines, inadequate access to these services for communities, poor disease surveillance and welfare issues, make the concept difficult to operationalise. Partnering with Action for Animal Health (a global advocacy coalition), this study aims to provide an evidence review of global animal health systems based on key informant interviews with key experts in global animal health, supported by a comprehensive literature review.

Materials and methods

The study uses a mixed methods approach. Following a literature review, semi structured interviews with high-level experts will explore the state of animal health systems, including current and future barriers and opportunities to the operationalisation of One Health.

Results

Preliminary findings indicate that limited operationalisation of the One Health approach can be linked to low levels of public investment in animal health systems, and a lack of awareness in the public health and economic benefits. Further data for the study will be collected during February-May 2022.

Conclusion

The results from this study will inform future recommendations that the Action for Animal Health coalition provide to decision makers. It will highlight good practices, and areas for improvement, providing recommendations for further research and action.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Klara Saville","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 1.A - Capacity building in national veterinary service","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-08T10:00:00+00:00","BaseEndDateTime":"2022-08-08T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-08T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T15:00:00.0000000+00:00"},{"Id":"3e92c612-9813-45ad-825f-6027761ab0ac","SessionBlockId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","Name":"Breakout Session 1.D - Risk Assessment","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A risk-based approach to generate national vulnerability scores for an unpredicted agro-crime or agro-terror event targeting animal populations","PresentationBio":null,"Title":"Ms.","FirstName":"Gizem","LastName":"Levent","Position":"Assistant Professor Of Epidemiology","Organization":"Texas Tech University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d5d23a1aea774500901af05e9e9c997c","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Intentional release of pathogens that target vulnerable animal populations is either an act of agro-crime or agro-terrorism, both of which may threaten peace and global health security and impose enormous economic costs on nations. With support from the Weapons Threat Reduction Programme of Global Affairs Canada, we used the World Organisation for Animal Health (OIE) risk assessment framework to generate a risk-based approach to developing vulnerability scores for 25 OIE Member Countries; initially, against four animal pathogens (Brucella abortus, highly pathogenic avian influenza virus, African swine fever virus, and food-and-mouth disease virus). We did this by focusing on the release and exposure potential of each pathogen for any given country, and considered that country’s ability to respond against pathogen incursions by quantifying their level of preparedness and resilience.

Variables to build release, exposure, preparedness, and resilience components were generated from open-source databases generated by multiple international organizations; these consisted of: 1) the number and density of the targeted animal populations, 2) availability of technical tools, veterinary services, and disease control measures applied by each country, and 3) the political, economic, and research and development capabilities of each country. Component scores for each pathogen and country were calculated using three different index construction approaches: arithmetic mean, distance matrix, and principal component analyses. An overall vulnerability score for each country and pathogen combination was derived using the final scores of each component with the formula of “(release+exposure)-(preparedness+resilience)”.

Each of the final component scores as well as the overall vulnerability scores obtained using three different methods showed highly consistent results.

In conclusion, this model may be readily modified by policymakers and national / international agencies and then used to improve risk management strategies due to its clarity and dependence on reliable and widely available databases.


Keywords: Vulnerability score, Agro-crime, Agro-terrorism, Transboundary animal diseases
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Gizem Levent","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"How do we provide effective evidence for policy makers on animal health and outbreak response?","PresentationBio":null,"Title":"Dr.","FirstName":"Harriet","LastName":"Auty","Position":"","Organization":"University of Glasgow","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: EPIC, Scottish Government’s Centre of Expertise on Animal Disease Outbreaks, offers a successful and innovative model for provision of scientific advice and analysis to policy-makers in Scotland. This paper reflects on EPIC as a model for policy-relevant science.

Materials and methods: EPIC is a virtual consortium of researchers in Scotland which, for over ten years, has provided advice and analyses to Scottish Government on preparing for, and responding to, animal disease outbreaks. Here we describe EPIC’s remit and operations, and reflect on case studies which illustrate how this model provides risk-based evidence through rapid access to emergency advice and analyses, estimating disease risks and improving disease detection, assessing different disease control options, and improving future risk resilience. We consider the strengths and challenges of the EPIC model and identify areas or approaches to develop further in the future.

Results and conclusions: Risks to animal health and welfare will continue to evolve and become increasingly complex, requiring transdisciplinary responses. The COVID-19 pandemic has highlighted the challenges of providing and using scientific evidence for policy-making. Trusted relationships, leading to meaningful engagement and co-development of research questions, and strong communication are key to delivering policy-relevant outputs. Activities such as FAIR data curation, and the generation and management of metadata so as to establish and maintain provenance, and thus support analytical transparency and reproducibility are important, and can require considerable resource outlay. The successes and challenges faced by EPIC and its members offer valuable lessons for animal health researchers and authorities working in contingency planning for animal health security in other countries.

Keywords: risk-based evidence, animal health policy, contingency planning, disease outbreaks, risk communication
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The COVID-19 pandemic popularized dashboards for epidemiological data visualization and communication. Hundreds of dashboards, developed for a common purpose and audience, provided a rare opportunity for comparison to understand factors for dashboard success. A review of COVID-19 dashboards found seven criteria to be shared amongst those most effective, ranging from appropriate data management to knowledge of the audience’s needs. As more dashboards are developed and new technologies are integrated, essential criteria and best practices need to evolve.

Methods
The “HIVE dashboard”, developed to collect and communicate epidemiological data about the honey bee parasite, Varroa destructor, provides a practical example of how to develop an effective disease dashboard. An assessment was conducted to determine end-user perceptions using the seven criteria and to provide feedback for dashboard improvements. The criteria were also considered in the conceptualization of an AMR dashboard.

Results
The HIVE dashboard demonstrated a high degree of user-perceived actionability with a seven-criteria assessment model. A reflection on this dashboard’s assessment process is presented, along with a discussion on the needs for fluid criteria for future dashboards.

Conclusions
Emerging technologies, including big data, sensors and machine learning, pose exciting opportunities for the future of dashboards, which will inevitably become more widespread. However, as with all epidemiological methodologies, guiding principles and best practices are necessary to ensure they are developed appropriately and effectively. This reflection on existing dashboards and their future potential provides such a framework.

Keywords
Dashboard, Health Informatics, Data Visualization, Knowledge Mobilization, Disease Surveillance
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Materials and Methods: We conducted a comprehensive review of Salmonella surveillance systems, livestock AMU monitoring, foodborne illness reporting, microbiological testing methods, consumption data collection and relevant government regulations for the US and EU. We then determined if each region’s data was: (1) available and (2) nationally representative to generate estimates of AMR Salmonella exposure from beef while meeting the Codex AMR requirements.

Results: Neither region’s data meets the exposure assessment requirements outlined in the Codex AMR. Data describing AMU monitoring at the animal level and beef consumption habits are partly available but not representative for either region. Additionally, EU-wide Salmonella AMR prevalence in beef products is difficult estimate due to a decentralized reporting structure. For example, in 2011, France reported five Salmonella isolates from 1,878 minced beef samples taken at the processing level but no information for minced beef produced from 2012-2019 was reported. A simplified top-down approach may be more amenable to currently available data than the mechanistic approach described in the Codex AMR.

Conclusions: The Codex AMR is currently unsuitable to assess the impact of livestock AMU restrictions on the human health risk of AMR Salmonellosis from beef, or to produce regionally comparable AMR risk estimates from two major economic regions. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","0c901ec5-8189-459e-b859-afcfb8a96f9b","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Dan Taylor","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A Method for Joint Rapid Qualitative Risk Assessment: An Example of SARS-CoV-2 in White-Tailed Deer ","PresentationBio":null,"Title":"Dr.","FirstName":"Nancy","LastName":"deWith","Position":"Senior Veterinary Science Specialist","Organization":"Canadian Food Inspection Agency","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2c07d3103d7e4ef5bb6fc4ebde741962","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: In summer 2021, SARS-CoV-2 genetic material and antibodies were detected in wild white-tailed deer (WTD) in the United States. In addition, two experimental studies showed that WTD inoculated with SARS-CoV-2 became infected, transmitted infection to other WTD, and developed antibodies.
One Health groups in Canada raised concerns regarding potential risks posed to humans in contact with free-ranging or captive WTD (live and dead), and establishment of a wildlife reservoir. An iterative rapid qualitative risk assessment (RQRA) process was initiated, following international guidelines.
Methods: A multi-jurisdictional expert group was formed to complete all steps of the joint RQRA process, starting with risk framing and question formation. A scenario pathway diagram was created (Figure 1), and probabilities of the critical steps along these pathways were identified. Using a modified Delphi approach, probability, uncertainty and impact estimates were qualitatively assessed.
Results: At the time of the RQRA, the level of exposure of WTD in Canada to SARS-CoV-2 was unknown. The RQRA determined that the probability that a human would be exposed to, and become clinically ill, as a result of contact with an infected WTD was very low to low for contact with live WTD, and low for contact with a WTD carcass but ranging to moderate for certain groups with increased contact levels. Uncertainty levels were moderate to high for all probability estimates.
Conclusion: The RQRA results were used to inform the development of communication products for people in contact with free-ranging or captive deer, policy guidance, and surveillance in wildlife.
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Material and methods: We developed our framework using R and Shiny, and implemented as an R package and a web application that can be accessed from any computer, tablet or smart phone with access to internet connection. The web platform allows the user to specify the model tree depending on the interests, which can be saved and shared easily. The web platform also allows the user to estimate the risk based on a stochastic probabilistic model. We illustrate the applications of our framework using as an example the introduction and dissemination of African Swine Fever, based on a previously specified model trees from literature.
Results: Using the proposed framework we were able to replicate results previously obtained with other tools (i.e. @Risk). In addition, our framework provides the ability to evaluate the model using advanced sensitivity analysis (i.e. random forest) of the parameters to identify the most relevant parameters in the risk estimation.
Conclusion: This proposed framework offers flexibility and can be adapted to different diseases. An example of our application can be found at: https://jpablo91.shinyapps.io/QuantRRA/.
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Veterinarians and other veterinary advisors play a crucial role in disease control programs. Not only should these professionals be knowledgeable about prevention, monitoring and treatment of a certain health issue, but they also need to communicate this effectively. Currently, questionnaires are often used to collect data about technical skills and communication competences of veterinary professionals and information is distributed or trainings are developed, if needed. Serious games could be a cost effective and time efficient way to collect information and train professionals in disease control programs.

Material & Methods:
The Veterinary DialogueTrainer (VDT) is a serious game, which simulates and assesses interactions between people in the veterinary field, for example between a veterinary professional and a farmer. This tool has numerous implementation options, e.g., baseline measurement, training tool or impact assessment. The VDT can be played on any device and allows participants to actively practice their skills in realistic and safe online environments. Various skills can be assessed, such as technical knowledge of a certain disease, or participants’ approaches in motivating the other to prevent diseases. The VDT has been used to measure and improve the skills of Dutch veterinarians and students regarding companion animal health (obesity, antiparasitic treatment), and cattle health (BRD, BVD).

Results:
Preliminary results demonstrate that the VDT is perceived as a fun, safe and objective way to collect data and practice skills. Data collected by the VDT provides a better understanding of current skills and knowledge. Results also show that participants can improve their scores based on the received feedback.

Conclusion:
Preliminary results are promising as the VDT may be be an important link in effectively collecting information and translating learnt technical and communication skills into practice, resulting in improved adherence to veterinary advice and increased health and wellbeing of animals.

Keywords:
Communication
Gamification
Data
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":"drjjansen","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jolandajansen","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"drjjansen","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jolandajansen","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=drjjansen","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jolandajansen","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=drjjansen","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/jolandajansen","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Jolanda Jansen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Suitability modelling of Ornithodoros spp. in California and overlapping with domestic-feral pig populations to identify ASFV high-risk areas under current and future climatic conditions.","PresentationBio":null,"Title":"Dr.","FirstName":"Carlos","LastName":"Gonzalez-Crespo","Position":"","Organization":"Center for Animal Disease Modeling and SurveillanDepartment Of Medicine & Epidemiology, University Of California, Davis","PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The current re-emergence and global expansion of African swine fever virus (ASFV) is an unprecedented threat for the entire swine industry. If introduced in the United States (U.S.) ASFV could be transmitted either between Sus scrofa (domestic, feral, and wild swine) or by soft ticks of the genus Ornithodoros. The role of ticks is usually not very important for ASFV transmission outside Africa, but it could challenge the rapid ASF control and eradication. Several species of Ornithodoros are present in California, thus, knowledge of vector-host spatial co-occurrence is necessary in order to prevent and mitigate the potential risk of ASFV establishment at the domestic-feral pig interface in the U.S.

Recorded presence of Ornithodoros coriaceus, O. hermsi and O. parkeri was retrieved from literature searches and the GBIF network database. Species distribution modeling (Maximum entropy, Maxent, and Random Forest) were used to predict their current distribution based on environmental conditions, current climatic trends and future projected climate changes (2061-2080). The individual models (AUC > 0.8) were combined and the suitable area was selected based on the true statistic skill as threshold. Data from feral swine suitability and outdoor-raised pig operations were used to ascertain the spatial co-occurrence of hosts and tick vectors.

The results predicted previously unrecognized areas of California with suitable habitat for the genus Ornithodoros and identifies 40,455 km2 of high-risk areas for ASFV, where the suitable habitats of pigs and the tick vector overlap. Moreover, global climate models predicted changes in the distribution of suitable habitat for Ornithodoros spp., and 295.34 km2 of new vector-host co-occurrence areas with an increased associated risk.

Our predictions are useful to support risk-based decision-making for targeting ASF surveillance efforts for the genus Ornithodoros in areas of high risk in California, particularly if ASF is potentially introduced in the U.S.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","43b008b2-8eab-460a-b708-b149b223981a","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Carlos Gonzalez-Crespo","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 1.D - Risk Assessment","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-08T10:00:00+00:00","BaseEndDateTime":"2022-08-08T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-08T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T15:00:00.0000000+00:00"},{"Id":"656c86b3-a729-4d2e-b7be-786b63e48b62","SessionBlockId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","Name":"Breakout Session 1.E - Surveillance and Monitoring","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"resistancebank.org, an open access repository for surveys of antimicrobial resistance in animals","PresentationBio":null,"Title":"Mr.","FirstName":"Nicola","LastName":"Criscuolo","Position":"Ph.d. Student","Organization":"ETH Zürich","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fd5a3d47e2c24b53b8d3223994d82d31","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Antimicrobial resistance is a growing threat to the health of humans and animals that requires global actions. In low- and middle-income countries, demand for meat is rising, and developing policies against antimicrobial resistance is urgent. However, surveillance of antimicrobial resistance in most of these countries is at best nascent. For this reason, in the short term, efforts to target investments in low and middle-income countries against antimicrobial resistance could be informed by point-prevalence surveys. In the absence of systematic surveillance systems, point-prevalence surveys could be used to document trends in antimicrobial resistance in food animals. We developed the platform resistancebank.org as an online tool to centralizes information on antimicrobial resistance in food animals from point-prevalence surveys.

Materials and Methods
The platform was developed as an online Shiny application using the R programming language, CSS, and JavaScript, and it is accessible from all major web browsers at https://resistancebank.org.

Results
resistancebank.org provides access to 2,132 point-prevalence surveys from low- and middle-income countries. Surveys were conducted between 2000 and 2021 and include 43,039 resistance rates for pathogens isolated from livestock (chicken, pigs, cattle, sheep) and freshwater and marine fishery. Users have access to complete and filtered databases, country-level reports, and large-scale maps at 10x10 kilometers resolution showing areas where resistance is rising.

Conclusions
The platform summarises current knowledge on antimicrobial resistance in animals and provides a tool for strengthening its evidence-based surveillance by allowing users to upload additional point-prevalence surveys. Locally, resistancebank.org aims to be a focal point for sharing antimicrobial resistance data and to encourage epidemiological investigations by field officers from every part of the world. Globally, resistancebank.org offers the opportunity to prioritize actions of international funders to investigate and tackle antimicrobial resistance in areas identified as hotspots of resistance.

Keywords
antimicrobial resistance
spatial epidemiology
point-prevalence surveys
shiny app
food animals
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b838af4f-bddf-4b1b-84d6-642a51a831fd","0c879798-e821-4cff-bf7e-791d4b78ec7f","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Nicola Criscuolo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluating the impact of farm management and antimicrobial use practices on the emergence of antimicrobial-resistant Campylobacter isolated from Canadian turkey flocks","PresentationBio":null,"Title":"Dr.","FirstName":"Csaba","LastName":"Varga","Position":"Assistant Professor of Epidemiology","Organization":"University of Illinois","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/95ffa7896ffa4d8cae1976ee4800d4a6","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Campylobacter is the most common pathogen causing foodborne enteric diseases in humans in Canada. Consumption of poultry products is the main source of campylobacteriosis. The emergence of antimicrobial resistance (AMR) in Campylobacter is a global public health issue.
A total of 729 Campylobacter isolates that were recovered from fecal samples collected by 16 veterinarians from 199 turkey flocks across five Canadian provinces between 2016 and 2019 by the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) were included in this study. The antimicrobial susceptibility of isolates to nine antimicrobials was determined by broth microdilution using the automated Sensititre™ methodology and CAMPY™ plates. Mixed-effects logistic regression models accounting for veterinarian- and sampling-year-level clustering and sampling age were built to evaluate associations among resistance to fluoroquinolones and tetracyclines in Campylobacter isolates and flock-level antimicrobial use (AMU) practices, described as the number of defined daily doses in animals using Canadian standard per kg-animal days at risk. We also built logistic regression models to assess the impact of farm management practices on the emergence of fluoroquinolone and tetracycline-resistant Campylobacter.
The odds of tetracycline resistance were increased by using tetracyclines (OR=1.063; 95% CI: 1.004-1.123) and streptogramins (OR: 1.006; 95% CI: 1.002-1.01) during the turkey’s rearing period. The odds of fluoroquinolone-resistant isolates were decreased by the use of aminoglycosides and penicillins. Farms that stored manure adjacent to barns increased the odds, and farms that dry-cleaned and disinfect the barns between flock cycles decreased the odds of having tetracycline-resistant Campylobacter.
Our study underlines the importance of continuous on-farm surveillance of foodborne pathogens in turkey flocks to evaluate the influence of AMU and farm management practices on the emergence of AMR. Monitoring AMR in poultry flocks is essential to prevent and reduce the transmission of antimicrobial-resistant foodborne pathogens to humans.

turkey, antimicrobial resistance, antimicrobial use, farm management, poultry
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","6d2507a9-e756-4ab4-ae03-e679e391c7e6","df5d618c-3702-4d9c-95b6-0ad39c8b6184","0c879798-e821-4cff-bf7e-791d4b78ec7f","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Csaba Varga","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"T-Racing: a modern tool for supporting epidemiological investigation in animal disease outbreaks","PresentationBio":null,"Title":"Dr.","FirstName":"Gianluca Ciro","LastName":"Telera","Position":"Researcher","Organization":"Istituto Zooprofilattico Sperimentale Abruzzo E Molise G.Caporale","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"
A user-friendly web application (T-Racing) was developed in an R environment to support epidemiological investigations through interacting maps, graphs, and tables.

The application relies on Temporal Network Analysis techniques and accounts for the dynamic nature of animal trade, to perform a quick and efficient back and forward tracing activity. T-Racing makes use of web services to retrieve data from databases, through the plumber package, and has been distributed using Shinyproxy.

Movement data underlying the tracing pattern can be explored according to time frame, animal species, movement to slaughterhouses, and movements in and out from the selected farm. The forward/backward search can be performed from one or more farms, selected among those which had moved animals or had been notified as disease outbreak within a selected time frame and spatial buffer. Considering that search result may often involve thousands of farms/movements (which would not be possible to visualize or used, when many), the T-Racing application is able to provide tools that may interactively and iteratively handle huge networks. Users can add or remove links/nodes according to epidemiological information and/or spatial location, node's property, network deepness, to get the most relevant results, including paths among outbreaks caused by genetically similar pathogens. Moreover, the result can be restricted to paths followed by single identified animals linked to the seeds.

This tool may strongly support animal disease control measures, since it can rapidly organize essential contact information from large datasets, and identify connections in a multi-area outbreak investigation thus supporting epidemiological investigation.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f64ffedec598442589a6ee2b1b98d014","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gianluca Ciro Telera","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Pig Health Info System: Systematic recording and continuous analysis of health data to improve pig disease surveillance","PresentationBio":null,"Title":"Dr.","FirstName":"Claudia","LastName":"Egle","Position":"","Organization":"Clinic for Swine, Vetsuisse Faculty, University of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Although a wide spectrum of data is already recorded by different stakeholders involved in Swiss pig production, information about the current health status of the population is hardly available. However, this would be information of high value, particularly with regard to early detection of infectious disease outbreaks. To make this data available and usable for health surveillance, a smartphone app is developed to record examination findings, a corresponding database is set up to store and analyze the data and a dashboard is established to visualize real-time data and analysis results.

The veterinarians are provided with an app that allows documenting examination results in a homogenous and well-structured manner. They can enter symptoms or diagnoses, but also information about surroundings, e.g. animal environment, and herd management. The veterinarians decide case-related about the extent of the documentation. Moreover, the app can be used to record results of post-mortem examinations or lab analyses. As soon as an examination recording has been completed, a report is automatically generated that can be sent to the farmer and any other recipient by e-mail.

All data recorded using the app is stored in a database and analyzed continuously in order to notice any local or temporal accumulation of certain symptoms or diagnoses as early as possible. If changes are assessed as relevant, the veterinarians in the affected area are informed by push notifications. Additionally, the recorded symptoms and diagnoses are displayed in a publicly available dashboard that allows filtering for regions and animal categories.

The developed system is expected to improve early detection of health threats, and hence enables the initiation of adequate control measures to stop spreading at an earlier stage. In this way, it does not only increase animal health and welfare, but also decrease required effort and expenses to cope with disease outbreaks.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Claudia Egle","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 1.E - Surveillance and Monitoring","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-08T10:00:00+00:00","BaseEndDateTime":"2022-08-08T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-08T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T15:00:00.0000000+00:00"},{"Id":"7ef23fe7-0a8c-4a54-afbd-b854c4e18dee","SessionBlockId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","Name":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Identification and prioritization of Foreign Animal Disease biosecurity gaps in the U.S. pork industry","PresentationBio":null,"Title":"Dr.","FirstName":"Solenne","LastName":"Costard","Position":"","Organization":"Epix Analytics","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7131d88bb7ef4944abb31e8d904c9a82","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction: An evidence-based framework was developed and used to prioritize needs (biosecurity gaps, BG) for mitigations measures to further protect the U.S. pork industry against foreign animal diseases (FADs) threats.

Methods: Eight FAD entry pathways (legal, and illegal import of live animals, illegal import of pork products, import of feed and feed ingredients, fomites associated with international movements, international movement of people, transboundary movements of wildlife, and accidental release) and six swine subpopulations (industry-commercial, industry-show pigs, industry-other, pet pigs, zoos, and wildlife) were considered. Qualitative probabilities of entry and exposure (non-negligible, unknown, or negligible) were determined using a systematic assessment of available evidence. BG were identified and prioritized using a multi-step approach and eight criteria on existing regulations/guidance and factors affecting mitigation effectiveness.

Results: All pathways contained BG at U.S. entry points, with those for import of feed and smuggling of pork products for commercial purposes of higher concern due to volume and distribution. The highest priority BG for the swine industry were the distribution, processing, and storage of imported feed and feed ingredients. High- and medium-priority BG were also found at slaughter facilities. High-priority BG were identified for transboundary feral pig movements, and possible access of feral pigs to illegally imported pork products disposed in landfills or at recreation areas with feral pig populations. Several exposure pathways contain BG of medium-priority associated with non-compliance with existing regulations and industry guidance, or lack of FAD awareness - especially for non-commercial swine farm settings, pet pigs and zoos.

Conclusion: The framework allowed to prioritize BG and derive recommendations for short-term mitigation measures, outreach to non-commercial pig owners, and research needs.

Keywords: biosecurity, risk, Foreign Animal Disease (FAD), swine production","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","40011888-980a-402c-868e-27ff2aacbc1b","0c901ec5-8189-459e-b859-afcfb8a96f9b","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Solenne Costard","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Identification of biosecurity gaps within swine sites using the Secure Pork Supply framework.","PresentationBio":null,"Title":"Dr.","FirstName":"Magnus R.","LastName":"Campler","Position":"Research Associate","Organization":"The Ohio State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The prevention of potential foreign animal diseases in the swine industry is a high priority with re-emerging threats such as African Swine Fever appearing close to North American borders. The Secure Pork Supply (SPS) plan provides a voluntary framework for adequate biosecurity preparedness in the event of a disease outbreak.

Objectives: To describe SPS plan implementation gaps in U.S. swine sites, via the Rapid Access Biosecurity (RAB) app (RABapp™) standardization procedures.

Material and methods: Farm managers and veterinarians from Ohio were invited to participate in the SPS program through workshops and the pork association. Managers were tasked to work with veterinarians to create site maps with biosecurity measures to be implemented in case of a foreign animal disease, which later would be professionally assessed, digitized and mapped using geographic information system software. Maps included a variety of features including perimeter buffer areas, lines of separation between animal-housing buildings and outdoor environment, animal loading areas, site entries, designated parking- and disinfection areas, and carcass disposal routes/areas. Additionally, a comprehensive SPS written plan (https://www.securepork.org/pork-producers/biosecurity/) including demographics, biosecurity plans, farm routines, and contact information was required.

Results: Seventy-seven swine site maps and written plans were obtained. Inadequacies to SPS plans are described in Table 1.

Conclusions: Human error and oversight in biosecurity implementation may be a large hurdle for disease prevention for U.S. swine farms. Additional training and resources to promote biosecurity and safe animal handling for swine producers should be encouraged.

Keywords: Swine disease control, biosecurity, geospatial information system, outbreak response
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7e91b06316854d99bf1a239dd8845552","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","40011888-980a-402c-868e-27ff2aacbc1b","d12154ed-5a96-4eee-9b2d-d5985b20d3db"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Magnus R. Campler","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Does the piglet fecal microbiome vary between individual, composite individual, and pooled DNA samples?: A pilot study","PresentationBio":null,"Title":"Dr.","FirstName":"Noelle","LastName":"Noyes","Position":"Assistant Professor","Organization":"University of Minnesota","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: This study aimed to characterize and compare the piglet fecal microbiome obtained from samples processed using both individual and pooled workflows.
Materials and methods: A total of 20 litters (N=10 contained piglets ~2 days of age, N=10 contained piglets ~20 days of age) reared in a single commercial swine facility were enrolled in the study. All piglets (N=258) from all litters were sampled individually by inserting a sterile cotton-tipped swab into the rectum. Additionally, 3 composite samples were collected from each litter by swabbing the pen floor with a cotton-tipped swab. Swabs were stored at -80°C and then processed using four different methods: 1) individual samples were processed for DNA extraction (“individual”, N=258); 2) raw material from individual samples was pooled (4 pools/litter) and DNA was extracted (“fecal pools”, N=80); 3) raw material from individual samples was processed for DNA extraction and then the DNA was pooled (4 pools/litter), (“DNA pools”, N=80); and 4) composite floor samples (3/litter, N=60). All libraries (N=478 samples) were sequenced for microbiome analysis using the 16S rRNA V4 region and compared between the four workflows.
Results: As a set, the individual samples contained 865 amplicon sequence variants (ASVs) that were not detected in any of the pooled samples, while the DNA and fecal pools contained 168 and 171 ASVs, respectively, that were not detected in any of the individual samples. Alpha and beta diversity were not significantly different between fecal and DNA pools. Microbiome composition of composite floor samples was significantly different from individual samples, as well as fecal and DNA pools (PERMANOVA P= 0.002).
Conclusion: Analyzing piglet fecal samples at the individual level provided the most comprehensive profile of the piglet microbiome. However, pooling samples captured most of the variability in individual microbiome profiles, thus should be considered for population-level piglet microbiome studies.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Noelle Noyes","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Characterizing United States boar stud biosecurity practices to assess risk of African swine fever virus entry and transmission pathways","PresentationBio":null,"Title":"Dr.","FirstName":"Miranda","LastName":"Medrano","Position":"Phd Student","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0c1343cbd5b0485bab3d659f7be246af","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The Secure Food Systems (SFS) team at the University of Minnesota (UMN) is conducting a proactive risk assessment (RA) that systematically evaluates the potential risk of liquid, cooled semen movements from an infected but undetected boar stud in a control area during an African swine fever (ASF) outbreak, since information regarding this route of transmission is scarce.

Materials and Methods
A working group (WG) of boar stud subject matter experts (SMEs), regulatory officials, and academicians was convened to guide the RA. Ten potential routes of African swine fever virus (ASFV) entry into a US boar stud were evaluated. Scientific literature regarding those pathways was reviewed, collated, and presented by the UMN SFS team to the WG, who provided information back to the UMN SFS team regarding stud characteristics, existing biosecurity practices, and industry standards. The information was collected in regularly scheduled meetings and via surveys. For each pathway assessed, the current boar stud biosecurity practices were then evaluated for their ASFV introduction potential, and additional targeted biosecurity practices were developed by the WG to further decrease ASFV introduction likelihood. Finally, the likelihood ratings of ASFV introduction via the assessed pathways were estimated qualitatively based on the targeted mitigations by the WG and enhanced biosecurity requirements (EBRs) per the Secure Pork Supply Plan (SPS) that may be implemented when permitted semen movements occur during an ASF outbreak.

Results
Assuming that both targeted biosecurity and EBRs are in place during an ASF outbreak, the estimated tentative likelihood ratings for each of the ten ASFV entry pathways varied from negligible to low and low to moderate.

Conclusion
The US boar stud population can reduce their risk of ASFV introduction by implementing more enhanced and targeted biosecurity practices.

Keywords
African Swine Fever, swine, boar stud, risk pathways, biosecurity ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","3c19c60b-bf2c-4701-b93e-3b18208e3913","3c633f59-5da2-4213-a804-5e21f6f27422"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Miranda Medrano","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The value of good hygiene in pig fattening","PresentationBio":null,"Title":"Prof.","FirstName":"Jarkko","LastName":"Niemi","Position":"Research Professor","Organization":"Natural Resources Institute Finland (Luke)","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8fd54cf10a014602bd2d809cd3c63c78","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Not all farms apply appropriate hygiene. Research suggests, for example, that some 10–15% of pig farms have inadequate cleaning break between batches. This can lead to elevated incidence of disease, mortality and carcass condemnations, reduced animal welfare and lower financial returns. However, literature provides very little information on economic benefits of good hygiene. The aim of this study was to assess the financial value of good hygiene in the United Kingdom and Finland pig production sector.
Data used in the analyses were obtained from a sanitary challenge experiment and from published studies. Scenarios for both good and poor hygiene in a fig fattening farm were developed and the results between these were compared. The return on pig fattening was modelled by using a dynamic farm-level optimisation model which adjusted management parameters according to the sanitary scenario. Then, a comparative static economic welfare analysis was conducted to quantify the value of hygiene in the pig fattening sectors.
The net benefit of improved pig house cleanliness was modelled to at up to €0.22 per kg pigmeat. Poor hygiene was estimated to reduce the gross margin of pig fattening by about 50%. At the sector level, the net welfare change associated with enhanced hygiene, when applied simultaneously, was estimated at up to 40 million per year in Finland and up to €355 million per year in the UK.
In conclusion, poor hygiene can cause substantial financial losses and therefore good hygiene is of vital importance for the sustainability of pig farming.
This work was conducted under the PROHEALTH project which received funding from the European Union’s 7th Framework Programme for Research, Technological Development and Demonstration under Grant Agreement Number 613574.
Key words: Swine, Biosecurity, Management, Sanitary challenge, Production disease

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","d3066121-1fde-4a88-a77e-f435960ef4f2","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Jarkko Niemi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing knowledge and uptake of good farming practices among smallholder pig producers in Uganda","PresentationBio":null,"Title":"Ms.","FirstName":"Ana","LastName":"Oliveira","Position":"Research Fellow","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objective(s): A cluster randomized control trial was designed to assess the effects of an SMS-based knowledge dissemination program on knowledge and uptake of good farming practices among smallholder pig producers in Uganda. We present the results of the first phase of analysis aimed at: 1) developing relevant scales to measure knowledge and uptake of practices (trial outcome measures) and 2) verifying their performance.
2. Materials and methods: Questions from the trial’s baseline survey were selected based on the content shared via SMSs and combined to develop two tests: one to assess level of knowledge about good pig farming practices (knowledge test), and another to assess the uptake of such practices (practice uptake test). An expert consultation was conducted to support the scoring of the questions (all on a 0 to 1 scale). Questions were screened for consistency across experts and inconsistently scored options (SD>0.30) were removed from the tests. Item response theory models (IRT) were used for post-hoc assessment of the scales’ ability to measure knowledge and uptake of practices (latent variables).
3. Results: The final knowledge and practice uptake tests included 10 and 13 (from an initial set of 15) questions, respectively. Results from the IRT model using a reduced set of five questions that made up a unidimensional scale for knowledge showed this scale had good discriminatory ability among producers with lower-than-average knowledge but lacked discriminatory ability among individuals with above average knowledge. The IRT model for the practice uptake test did not converge.
4. Conclusion: The information obtained in the baseline survey does not allow building a robust knowledge or practice uptake scale to be used in the evaluation of the program. Alternative outcome measures should be explored.

Keywords: pig farming, knowledge scale, item response theory. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","d12154ed-5a96-4eee-9b2d-d5985b20d3db"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Ana Oliveira","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Economic assessment of a sound-based precision livestock farming tool based on timing of intervention after a Mycoplasma hyopneumoniae and PRRS virus seeder challenge in pigs ","PresentationBio":null,"Title":"Mr.","FirstName":"Dale","LastName":"Polson","Position":null,"Organization":"Boehringer Ingelheim","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The objective of this study was to evaluate the performance and economic differences resulting from earlier intervention following the onset of a clinically detectable respiratory disease episode as detected by a sound-based technology (SoundTalks).

Materials and Methods
A total of 1655 11-week-old pigs were equally distributed throughout 72 pens and two rooms of a large research barn. In every pen, three randomly selected seeder pigs were challenged seven days apart with first Mycoplasma hyopneumoniae and then PRRS virus. The number of days to the onset of treatment after the first SoundTalks alerts was defined as follows for each group: day zero (G0), day 5 (G5) and day 10 (G10). Pigs in all three treatment groups received the same combination immunological + antimicrobial responsive intervention protocol. Economic effect differences between treatment groups were calculated using a “Standardized Economic Index” (SEI) based on a partial budget model and monthly input cost and market price data over a 10 year period. A 48 month rolling average was used to allow evaluation of the B:C ratio across the estimated lifespan of SoundTalks hardware.

Results
Production variable values were introduced into the SEI model. Throughout the 120 month period (January 2011 through December 2020), and using a CTO of USD $0.254/pig marketed the mean monthly B:C Ratio was 4.27, ranging from 2.52 to 7.90 and exceeding 2:1 for 120 of 120 (100%) months (G0:G5). For the same 120 month period, the 48 month rolling B:C Ratio ranged from 3.37 to 5.06, exceeded 2:1 for 120 of 120 (100%) intervals (G0:G5).

Conclusion
This study suggests that there can be a consistently favorable economic impact is achievable where relatively small performance differences are obtained using a technology that enables early detection followed by earlier intervention.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Dale Polson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Characterization of practices among pig smallholders in Cambodia and implications for disease risk","PresentationBio":null,"Title":"Mr.","FirstName":"Ty","LastName":"Chhay","Position":"Dr","Organization":"Livestock Development For Local Community Organization","PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Smallholder pig farms (SPFs) are prevalent in Cambodia but vulnerable to disease impacts, as evidenced by the recent incursion of African Swine Fever into the region. As part of the ‘PigFluCam+’ project, we sought to provide an updated picture of pig husbandry and biosecurity practices among SPFs in south-central Cambodia.

Methods: A multi-stage sampling design was adopted to select study districts and villages within four provinces: Phnom Penh, Kandal, Takeo, and Kampong Speu. Structured interviews were conducted between October 2020 - May 2021, among all consenting households keeping pigs in 16 target villages.

Results: Recruited SPFs (n=176) kept 6.8 pigs on average (s.d.=7.7), with most (88%) keeping cross-bred varieties of sows (77%), growers/finishers (39%), piglets/weaners (22%), and few keeping boars (5%). Chickens (83%) and waterfowl (56%) were commonly raised and could usually contact pigs directly (79%). Pigs were the primary source of household income for 28% of participants. While pigs tended to be housed individually (40%) or in groups (33%), 13% kept pigs free-ranging/tethered. Pigs were commonly fed agricultural by-products (80%), commercial feed (60%) and notably, household waste (59%). Under half of SPFs vaccinated pigs (e.g. against classical swine fever, Aujesky’s and pasteurollosis, although the target disease was often unknown). Among 20 SPFs who experienced pig morbidities/mortalities within the past 6 months, only 3 (15%) reported to animal health workers, and disease aetiology was rarely known. Common biosecurity measures included nets covering pens (62%) and restricting access to the site/pens (46%). Boot dips (0.6%) and PPE (1.2%) were rarely used.

Conclusion: Pig smallholdings remain an important contributor to rural livelihoods. Current practices and biosecurity challenges increase risk pathways for a range of disease threats of both local and global concern. Ethnographic studies are needed to better understand local determinants and develop context-appropriate strategies.


Keywords: Smallholder, swine, biosecurity, Cambodia, ASF.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Ty Chhay","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-08T10:00:00+00:00","BaseEndDateTime":"2022-08-08T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-08T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T15:00:00.0000000+00:00"},{"Id":"af6d9681-b193-467e-8ad8-bddbc5b546de","SessionBlockId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","Name":"1_Special Session: Opening the Social Sciences umbrella to tackle AMR: lessons from human and animal health (ISESSAH)","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":"AGENDA
\r\n10:00 - 10:05 - Opening Remarks
\r\n10:05 - 10:30 - Keynote Presentation Susan Rogers Van Katwyk
\r\n10:30 - 10:55 - Keynote Presentation Guillaum Lhermie
\r\n10:55 - 11:00 - Q&A
\r\n11:00 - 11:35 - Short Presentations
\r\n11:35 - 12:00 - Round Table Discussion

\r\nModerator: Herman Barkema","Overview":"Chairs: Herman Barkema & Guillaume Lhermie","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Keynote Presentation","PresentationBio":"Susan Rogers Van Katwyk is the Managing Director of the WHO Collaborating Centre on Global Governance of Antimicrobial Resistance at York University. Susan’s research focuses on strengthening the scientific evidence base to generate actionable evidence-informed policy recommendations for global health threats that require global collective action. She has a track record of innovative and impactful research to improve policy implementation, evaluation and decision-making at the national and international levels. Susan also has substantial experience directly engaging in the policy process, working with several national governments, and UN agencies, including UNAIDS, WHO, and FAO. Her research has been published in leading medical journals, including BMJ, PLOS Medicine, and The Lancet.

Susan has a PhD in Epidemiology from the University of Ottawa, and a first-class honours degree in Biochemistry and Women & Gender Studies from Mount Allison University.

","Title":"Dr.","FirstName":"Susan","LastName":"Rogers Van Katwyk","Position":"Managing Director","Organization":"Global Strategy Lab, York University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8568f97b5dfd427fa37d0cc7092d40ca","IsPresentingAuthor":false,"Order":1,"Documents":[],"CoAuthors":[],"StartTime":"10:05:00","EndTime":"10:30:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Susan Rogers Van Katwyk","TimeDisplay":"10:05 AM - 10:30 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Keynote Presentation: multidimensional policies to tackle the AMR challenge","PresentationBio":"Guillaume Lhermie obtained a Doctoral degree in Veterinary Medicine at Ecole Nationale Vétérinaire de Toulouse (2005), a Master’s degree in Agricultural Economics at Montpellier Supagro (2010), a Political Sciences diploma at Sciences Po Toulouse (2010) and a PhD. in Pharmaco-epidemiology and Innovation at Université de Nantes (2015). Dr. Lhermie currently serves as an expert in animal health economics for international organizations (FAO, OIE, WHO), national agencies and NGOs. Dr. Lhermie is an adjunct professor at the National Veterinary School of Toulouse, France.

Prior to joining the Simpson Centre, Guillaume Lhermie was an Associate Professor in Animal Health and Veterinary Public Health Economics at the University of Toulouse.

Prior to working in the academic field in the USA, as an Adjunct Assistant Professor position at Cornell University for two years, Dr. Lhermie was associate director of the Business Unit - Food producing animals and Equine-, for the French affiliate, of Vetoquinol, a pharmaceutical company ranked 8th player globally in animal health, for livestock (cows, pigs) and pets (cats, dogs). He also represented the company in several working groups, via the European (IFAH) and French pharmaceutical industry syndicates (SIMV), or at a private level.


","Title":"Assoc Prof.","FirstName":"Guillaume","LastName":"Lhermie","Position":null,"Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6db031e0ef4d4f76b25c05ac2a13ea93","IsPresentingAuthor":false,"Order":2,"Documents":[],"CoAuthors":[],"StartTime":"10:30:00","EndTime":"10:55:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Assoc Prof. Guillaume Lhermie","TimeDisplay":"10:30 AM - 10:55 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Economic Dimensions of Antimicrobial Use In Livestock","PresentationBio":null,"Title":"Dr.","FirstName":"Amy","LastName":"Hagerman","Position":"Assistant Professor","Organization":"Oklahoma State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[],"CoAuthors":[],"StartTime":"10:55:00","EndTime":"11:05:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Amy Hagerman","TimeDisplay":"10:55 AM - 11:05 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Importance of rules and enforcement for the AMU/AMR complex in livestock – what can we learn from institutional economics","PresentationBio":null,"Title":"Mr.","FirstName":"Joao","LastName":"Sucena Afonso","Position":"Analyst","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cd0cb371eae840129eb51cee3fb915a9","IsPresentingAuthor":false,"Order":4,"Documents":[],"CoAuthors":[],"StartTime":"11:12:00","EndTime":"11:24:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jotafonso","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jotafonso","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jotafonso","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/jotafonso","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Joao Sucena Afonso","TimeDisplay":"11:12 AM - 11:24 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Accounting for the ‘human factor’ in AMU decision-making","PresentationBio":null,"Title":"Ms.","FirstName":"Caroline","LastName":"Ritter","Position":"Assistant Professor and Canada Research Chair","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/62f0057ead194f7491f37e85bdae313e","IsPresentingAuthor":false,"Order":5,"Documents":[],"CoAuthors":[],"StartTime":"11:24:00","EndTime":"11:36:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Caroline Ritter","TimeDisplay":"11:24 AM - 11:36 AM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"dae8d1f0-3bc9-47be-b1ad-bfc2f22247bf","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"1_Special Session: Opening the Social Sciences umbrella to tackle AMR: lessons from human and animal health (ISESSAH)
Chairs: Herman Barkema & Guillaume Lhermie","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-08T10:00:00+00:00","BaseEndDateTime":"2022-08-08T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-08T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T15:00:00.0000000+00:00"},{"Id":"ae63df0a-d3de-4994-a47e-ba75eb3978f5","SessionBlockId":null,"Name":"Monday Lunch Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"12:00:00","EndTime":"13:30:00","StartTimeOverride":"12:00:00","EndTimeOverride":"13:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom B3","Track":null,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"ae63df0a-d3de-4994-a47e-ba75eb3978f5","StartTimeString":"12:00 PM","EndTimeString":"1:30 PM","StartToEndTimeString":"12:00 PM - 1:30 PM","StartToEndTimeSortString":"12:00 PM - 1:30 PM","DisplayDetails":"Monday Lunch Break │ Exhibits","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"12:00 PM - 1:30 PM","StartTimeOverrideString":"12:00 PM","EndTimeOverrideString":"1:30 PM","StartToEndTimeOverrideString2":"12:00 PM - 1:30 PM","BaseStartDateTime":"2022-08-08T12:00:00+00:00","BaseEndDateTime":"2022-08-08T13:30:00+00:00","BaseStartDateTimeOverride":"2022-08-08T12:00:00+00:00","BaseEndDateTimeOverride":"2022-08-08T13:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T15:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T16:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T15:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T16:30:00.0000000+00:00"},{"Id":"dd69f228-2c5b-4531-b328-0906c0af3cd2","SessionBlockId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","Name":"Breakout Session 2.B - Epidemiologic studies in specific species (Dairy and beef cattle)","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Calf mortality, calf treatments and mastitis treatments in Norwegian dairy herds practicing cow-calf contact versus herds practicing artificial calf rearing. \r\n\r\n","PresentationBio":null,"Title":"Dr.","FirstName":"Julie","LastName":"Johnsen","Position":"Senior Researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7436f0cec9fb4548b3ff31f52342c248","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The objective was to compare calf mortality, calf treatments, and treatment of mastitis at the herd level in dairy herds with different calf rearing methods: cow-calf contact (CCC) or artificial calf rearing (control).
Materials and method
Each CCC herd was matched with two control herds based on county, barn type, milking system, and herd size.
Calf (<6 months) mortality, calf treatments, mastitis treatments, bulk tank scc and herd animal days at risk in 2020 were retrieved from the Norwegian Dairy Herd Recording System. Univariable negative binomial regression models were built for each outcome: counted events of calf mortality, calf and mastitis treatments. Number of calf/cow risk days respectively was included as the exposure. Calf rearing method was the explanatory variable. Similarly, a univariable regression model was built for the log of scc.
Results
The final study sample consisted of 36 CCC and 66 control herds. The distribution of calf mortality rates between CCC and control herds are shown in Fig 1. Preliminary estimates from the model on calf mortality indicates IRR for CCC herds of 1.09 (95% CI 0.773-1.5439). As for calf treatments CCC herd IRR of 1.05 (0.248-4.591) indicate calf health comparability between CCC and control herds. CCC herds were associated with decreased risk for mastitis treatments: IRR 0.612 (95% CI 0.388-0.964). Bulk tank scc were comparable: 0.062, 95% CI 0.237-0.362.
Conclusion
Preliminary analyses indicate an association between calf rearing method and treatment for mastitis, but no differences in calf mortality, calf treatment events and scc were detected.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/39b32f823d5041e5a22d933111d34894","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/julie-føske-johnsen-3343952","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/julie-føske-johnsen-3343952","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/julie-føske-johnsen-3343952","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/julie-føske-johnsen-3343952","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Julie Johnsen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling of Somatic Cell Count curves for early detection of intramammary infections in Dairy Cattle","PresentationBio":null,"Title":"Mrs.","FirstName":"Maj Beldring","LastName":"Henningsen","Position":"","Organization":"University of Copenhagen","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/043436c4cf0c44d6a15bfd186a411c9b","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Model-based early warnings based on routinely collected Somatic Cell Count (SCC) data can be a benefit to farmers to identify possible intramammary infections (IMI). The primary objective of our study was to assess existing lactation curve models for fit to SCC, and create a tool for evaluating fluctuations in SCC during lactation with regards to potential IMI. Our secondary objective was to evaluate the effect of IMI and treatments on SCC during the lactation.

Our study included routinely recorded data from 2010-2020 for dairy cows from herds with 11 annual screenings for SCC on cow-level in Denmark. We focused on two models: the Wood’s and the Wilmink lactation curves, which we inverted for use with SCC rather than milk yield. We fitted the log transformed SCC test results over days in milk using non-linear mixed effects models, nonlinear least square models and generalized additive models, both at herd and animal level. Simulated data were used to assess the performance of the models.

We found that the Wilmink function with four free parameters better described the SCC curves than Wood’s function with three free parameters. The use of SCC data fitted to the entire lactation can be useful to better identify overall differences in SCC between cattle with and without IMI. This allows routinely collected SCC data to be used to support treatment decisions.

We have made our methods freely available as an R package, and invite other interested researchers to collaborate: https://github.com/ku-awdc/woodcurvebox

Fig: Somatic Cell Count curves with simulated infections ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/81a3d402f0864baca04aa200d621a3ed","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","43f42602-f380-4a8a-9da3-ce05b383dc09","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Maj Beldring Henningsen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatio‐temporal clustering and risk factor analysis of bovine theileriosis (Theileria Parva) in Zimbabwe from 1995 to 2018","PresentationBio":null,"Title":"Mr.","FirstName":"Munyaradzi","LastName":"Marufu","Position":"Senior Lecturer","Organization":"University of Pretoria","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background
Bovine theileriosis is considered the most important tick-borne disease of cattle in sub–Saharan Africa. It presents a huge economic threat to cattle production in Zimbabwe. The disease is a major constraint limiting livestock production and improvement through cattle mortalities and widespread morbidities. Despite the huge threat posed on the Zimbabwean cattle industry, bovine theileriosis remains a disease with scant and outdated distribution dynamics data in the country.

Objective(s)
To investigate the spatial and temporal distribution of bovine theileriosis and to establish the high‐risk areas and associated risk factors of the disease in Zimbabwe.

Materials and methods
Records on bovine theileriosis spanning 23 years (January 1995 to December 2018) were obtained from the Epidemiological Unit of the Division of Field Veterinary Services of Zimbabwe (DVSZ). Data were analysed using SatScan® version 9.4.6 for spatio‐temporal clustering and Studio R® version 11.0 for regression analysis.

Results
Communal farmers (72%), adult cattle (29%), the year 2018 (60%) and the hot wet season (42%) had the highest proportion (p < 0.05) of bovine theileriosis cases recorded. Seven out of the country's ten provinces and 36 of its 59 districts were affected. Bovine theileriosis was observed to lose seasonality when cases rose exponentially in 2018. Five and four high‐risk clusters of bovine theileriosis were detected using one‐year and one‐month time aggregate, respectively, all within the last eight years of the study (2011–2018). Two potential risk factors (province and farming system) were significantly (p < 0.050) associated with bovine theileriosis occurrence.

Conclusion
Bovine theileriosis was found to be widespread and if left unchecked will spread and adversely affect the whole country. Improved theileriosis surveillance and control is warranted. Recommendations for control and prevention strategies revolve around better farmer awareness about the disease, correct and consistent use of acaricides, cattle movement control and disease surveillance.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Munyaradzi Marufu","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Environmental Determinants of Bovine Anaplasmosis in Tennessee Cattle","PresentationBio":null,"Title":"Dr.","FirstName":"Md Shamim","LastName":"Sarkar","Position":"Graduate Research Assistant","Organization":"University of Tennessee","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ea22f9142e8448e2b3c3cbf02754702a","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Bovine anaplasmosis (BA) is linked to the economic loss of cattle farmers, and an estimated annual economic loss is over 300 million US dollars in a year in the United States (U.S). Understanding the determinants of BA in cattle is critical to guiding clinical decisions and control programs. The study objective was to identify environmental determinants of BA in Tennessee (TN) cattle. Between April and November 2020, 1117 TN cattle were tested for BA.

Materials and Methods
The unit of analysis for identifying determinants was individual cattle. The outcome of interest was BA infection in cattle which was defined if cattle serum had detectable antibodies against Anaplasma marginale by cELISA. Environmental indices (temperature, rain days, humidity) were obtained for counties from which these animals were sampled. Descriptive analyses were performed to estimate the true seroprevalence of BA in cattle. A univariable logistic regression model was used to assess the relationship between the potential predictors (breed, season of sampling, monthly cumulative rain days, relative humidity, and temperature) and BA in cattle. The variables with p<= 0.2 were considered for the multivariable logistic regression model. A multivariable logistic regression model was fit using manual backward elimination procedures. Odds ratio (OR) with an estimated 95% confidence interval (CI) were reported.

Results
The overall apparent and true seroprevalence of BA was 20.41% and 19.8%, respectively. The odds of BA diagnosis were 12 times as high in areas with ≤ 10 rain days/month and 3.3 times in mixed breed cattle compared to areas with >10 rain days/month and pure breed cattle, respectively.
 


Conclusion
Mixed breed cattle and rain days are identified as important determinants of BA diagnosis in TN cattle in 2020. The knowledge gained from these data could be guided targeted surveillance and control measures for BA in cattle in TN.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Md Shamim Sarkar","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Impact of plane of nutrition and analgesic drug treatment on wound healing following cautery disbudding in preweaned dairy calves","PresentationBio":null,"Title":"Ms.","FirstName":"Charlotte","LastName":"Winder","Position":"Assistant Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The objective of this 2 x 2 factorial study was to determine the impact of a nutritional plane and administration of multiple doses of a nonsteroidal anti-inflammatory drug (NSAID) on wound healing in calves disbudded via cautery iron.

Eighty female Holstein calves were enrolled at birth and randomly assigned to a biologically normal plane of nutrition (BN; offered up to 15 L/d) or a limited plane (LP; offered up to 6 L/d). All calves received a lidocaine cornual nerve block and meloxicam (0.5 mg/kg) 15min prior to disbudding at 18-25d of age, and half were randomly assigned to receive additional meloxicam 3d after disbudding. Tissue type present, wound diameter, and wound depth were evaluated 2 times/wk for 8wk, mechanical nociceptive threshold (MNT) 2 times per wk for 3wk, and lying behavior from 1wk prior to disbudding until 8wk after. Survival data were analyzed using Cox regression models and continuous data were analyzed using mixed effect linear regression models.

Only 12% of horn buds were completely healed by 8wk after disbudding while 54% had re-epithelized at this time. At any time, wounds from BN calves were more likely to have had re-epithelization (HR 1.93, 95% CI: 1.18-3.14). Wounds from calves with one dose of NSAID were more likely to have re-epithelization occur (HR 1.87, 95% CI: 1.15-3.05). Wounds from BN calves had smaller diameters and depths over time beginning on wk 3. Wounds from calves that received an additional NSAID had larger diameters and depths over time beginning on wk 4 and 3 respectively. Calves on the BN milk program were more active with decreased lying times, fewer lying bouts/d, and longer average lying bouts.

A biologically normal milk feeding program may improve healing times and activity following disbudding, while additional NSAID treatment may low the healing process.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","21c6493c-d758-4b04-ada0-31630a7d6827","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":"cbwinder","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"cbwinder","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=cbwinder","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=cbwinder","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Charlotte Winder","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Perspectives on male dairy calf care and opportunities to motivate change","PresentationBio":null,"Title":"Dr.","FirstName":"Devon","LastName":"Wilson","Position":"Phd Candidate","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9da1de0752b14b62a4aeaaba9b0457ea","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To describe and compare dairy calf feeding and marketing practices and evaluate producer characteristics and perspectives associated with management differences between male and female calves.

Materials and Methods: An online survey was made available to all dairy producers in Ontario (n = 3367) from November 2020 to March 2021 and Atlantic Canada (n = 557) from April to June 2021. The survey evaluated calf milk and colostrum feeding strategies, marketing practices for male calves, and producer demographics and opinions on challenges related to calf care. Descriptive statistics and multivariable logistic regression models were generated.


Results: The survey had a 7% response rate (n = 289/3924) and was primarily completed by farm owners (73%). Compared to female calves, males received less milk in the first three weeks of life and were fed a higher proportion of unsaleable (waste) milk. Male calves were mostly sold between 1 and 10 days of age (64%), primarily directly to a calf-rearing facility (45%) or through a livestock auction (35%). Few producers (1%) euthanized most of their male calves, but 10% of respondents euthanized at least 1%. Female producers and those that kept male calves for at least 7 days had lower odds of using inferior feeding practices for male calves compared to male producers and those that sold younger calves, with similar associations observed in Ontario and Atlantic Canada. When implementing new calf care practices, producers valued the opinion of their veterinarian and calf buyer and focused on practices that promote calf health and welfare.

Conclusion: Male dairy calves are fed less, and poorer-quality milk compared to females, especially when they are sold before 10 days of age. Herd veterinarians and calf buyers could be influential in motivating improved calf care practices.

Key words: calves, survey, motivation, feeding, marketing","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["19e01dc9-22cb-4850-9e42-985898b24c36","df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Devon Wilson","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 2.B - Epidemiologic studies in specific species (Dairy and beef cattle)","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-08T13:30:00+00:00","BaseEndDateTime":"2022-08-08T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T18:00:00.0000000+00:00"},{"Id":"ce8286a6-6258-413f-8bc9-430d7ce0277e","SessionBlockId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","Name":"Breakout Session 2.E - Food Safety","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Prevalence and factors associated with Salmonella species in mechanically deboned poultry meat imported into South Africa","PresentationBio":null,"Title":"Dr.","FirstName":"Tandile","LastName":"Ndobeni","Position":"Veterinarian","Organization":"University of Pretoria","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2b8426b2391e455ea3aea82b1ac165eb","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: This study investigated the prevalence of Salmonella in mechanically deboned poultry meat imported into South Africa.

Materials and Method: This study uses secondary data of mechanically deboned poultry meat consignments imported and tested for Salmonella species between 2016 and 2017. The proportion of Salmonella positive consignments and their 95% confidence interval based on country of origin, month, season, and importer were calculated. A logistic regression model was fit to data to assess associations between the predictor variables and the outcome of Salmonella status.

Results: A total of 7987 of mechanically deboned poultry meat consignments were imported over the study period, 5636 (70.56%) were tested and 830 (14.73%) tested positive for Salmonella species. The odds of mechanically deboned poultry meat testing positive for Salmonella spp. was significantly higher among consignments from Country-A (OR:1.851, p=0.0030) and Country-B (OR: 3.887, p < 0.0001) compared to “All others”. Autumn (OR: 1.512, p < 0.0001), spring (OR: 0.771, p = 0.0005), summer (OR: 0.847, p = 0.0133) had significantly higher odds of consignments testing positive for Salmonella when compared to winter season. Consignments imported in 2016 were 1.563 times (p < 0.0001) as likely to test positive for Salmonella when compared to consignments imported in 2017. Importer-I (OR: 0.275, <0.0001) and Importer-III (OR: 0.593, <0.0001) compared to “All others” had lower odds of importing mechanically deboned poultry meat consignment positive for Salmonella species.

Discussion and Recommendations: Salmonella species were isolated from mechanically deboned poultry meat consignments in this study suggest that the risk of importing contaminated consignment exists. In addition, the odds of importing a Salmonella positive consignment differed significantly based on the country of origin, the type of importer and the time of importation. Therefore, efforts to mitigate the risk including monitoring and controlling Salmonella must be continued.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Tandile Ndobeni","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Burden reduction of non-typhoidal Salmonella Illness post Whole Genome Sequencing Implementation and Collective Public Health Action on Frozen Raw Breaded Chicken Products in Canada","PresentationBio":null,"Title":"Mr.","FirstName":"Brendan","LastName":"Dougherty","Position":"Epidemiologist","Organization":"Public Health Agency Of Canada","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: A substantial reduction in reported cases of non-typhoidal Salmonella (NTS) occurred in Canada in 2019 as compared to 2014-2018, following collective efforts by industry and government to reduce the burden of this pathogen. While this reduction in reported cases is notable, the observed decrease in the number of reported cases only represents a fraction of the true number of illnesses averted in the community, due to under-reporting and under-diagnosis of NTS. The objective of this study was to: 1.) apply burden of illness methodologies to estimate the number of domestically acquired non-typhoidal Salmonella (DANTS) cases averted, 2.) estimate the economic savings associated with averted cases, and 3.) demonstrate how collective, concerted actions by government and industry can be successful in reducing the burden of illness.
Materials and methods: Previous Canadian studies for estimating the number of DANTS illnesses, hospitalizations and deaths were used as a basis for this work. The economic burden includes the costs of direct medical care, lost productivity, and premature mortality. Estimates were developed using stochastic models to account for uncertainty.
Results: Compared to the previous five years, there were over 25,000 fewer illnesses, 200 fewer hospitalizations, and 2 fewer deaths attributable to DANTS in 2019. This corresponds to an estimated savings of over $26 million CAD related to healthcare and loss productivity costs due to the burden of DANTS.
Conclusion: A strategically implemented suite of public health actions, including genomics-based surveillance, policy changes, and interventions by government and industry were highly successful in reducing the economic and health burden of DANTS infections in Canada. The methods used to quantify the reductions in illness have helped shed light on the full scope and impact that the collective public health actions have had on burden of illness.
Keywords: Salmonella, Burden of Illness, Interventions","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","5178adf1-eaeb-4d5b-8fce-b18677488f5a","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Brendan Dougherty","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Development and validation of a Food Safety System Performance Tool for African countries","PresentationBio":null,"Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/237ad80304a445dfbf4773d8e5455fa9","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Tools for monitoring the performance of food safety systems can guide countries’ investments on food safety. Available tools, mostly developed in high-income countries, are data-demanding and unsuitable to developing economies. We developed, tested and validated a tool for the assessment of food safety system performance based on secondary data.

Materials and methods
Conceptualization of the Food Safety System Performance Tool (FSSPT) was based on revision of existing tools and expert consultations to identify relevant indicators. Nine indicators were included in the tool (Figure 1). Secondary data were obtained for African countries, and countries were ranked. The scale and its consistency tool were evaluated using Cronbach’s alpha and an Item Response Theory (IRT) model was fitted to explore the discriminatory ability of the scale. As a form of validation, we explored the correlation between the ranking generated by the FSSPT, the African Food Safety Index (AFSI) and Human Development Index (HDI) for African countries.

Results
Cronbach’s alpha was high for the overall scale (0.73). The final IRT model contained a reduced set of four indicators, with self-reporting on food safety and chemical events being the items with the highest discrimination. The FSSPT scale did not correlate with AFSI and showed moderate correlation with HDI.

Conclusion
Despite the reduced set of indicators working well as a scale, the FSSPT seems to be measuring a more general country development trait rather than food safety. More food safety-specific indicators should be included in the scale.
Keywords: food safety, scale, performance evaluation, Africa
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Implementation of certified Food Safety Management System (FSMS) is premised on sound understanding, knowledge and skills to implement Good Manufacturing/Agricultural Practices (GMPs/GAP) that are necessary to effectively implement subsequent certifiable food safety systems that are based HACCP Codex principles. Small to Medium Enterprises (SMEs) like small scale livestock farmers and abattoirs struggle to implement certified food safety practices that are required to enter export markets. The Global Food Safety Initiative (GFSI) developed the Global Markets Programme (GMaP) for SMEs since they struggle achieve certification due to their small size, lack of technical expertise and financial resources. After successful implementation of GFSI GMaP, SMEs are required to implement HACCP, ISO 22000 and FSSC 22000 to be able to enter the export (AfCFTA) market. The objectives of study were to evaluate the status of FSMS and assist implementation.

Materials and Methods
The study was conducted at SMEs facilities in Zambia between July 2020 and Dec 2021. 106 facilities were selected using a purposive sampling method. Gap assessments were conducted at SMEs facilities that included dairy processing, abattoirs, meat processing and livestock farms. Over 100 personnel were trained on FSMS that included GFSI GMaP, GMP, GAP, HACCP, ISO 22000, and FSSC 22000 v5.1 including Food Safety Culture. 36 facilities were coached to facilitate implementation of food safety.

Results
Out of 106 facilities selected for the study 40 (38%) responded to pre-Gap Assessment questionnaire on food safety. 62 SMEs were visited to determine the status of their FSMS. Challenges and opportunities faced by SMEs in implementing FSMS were identified. Results of food safety practices are presented.

Conclusion
Implementation of FSMS at SMEs is still at rudimentary level. Governments, Investors, NGOs and other stakeholders have a huge role to play to assist SMEs to attain certified FSMS in order to enter the export market.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","d12154ed-5a96-4eee-9b2d-d5985b20d3db","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Tendai Charles Katsande","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Prevalence of welfare associated lesions and pig handling practices and their association with pork quality, Nairobi, Kenya.","PresentationBio":null,"Title":"Dr.","FirstName":"Derrick Noah","LastName":"Sentamu","Position":"Consultant","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5237f8915c5744bdbc1fe9aee6c248b1","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Pre-slaughter treatment of pigs affects the quality of meat, however, there are no studies to date investigating this relationship in the Kenyan context. This study aimed to determine the prevalence of welfare lesions and detrimental welfare practices on pigs for slaughter, and to analyze the relationship between these and meat quality at a non-integrated pig slaughterhouse in Kenya. This data was obtained by examining 529 pig carcasses and 387 Biceps femoris meat samples to determine meat quality in terms of meat pH24, color and EZ Drip loss. Pork was then categorized into one of four recognized categories: Red, Firm, Non-exudative (RFN), Pale Soft Exudative (PSE) Dark Firm Dry (DFD) and Red Soft Exudative (RSE)
99.61% (95% C.I. 98.43 – 99.93%) of the pigs were insufficiently stunned based on the presence of signs of consciousness, post-stunning. 82.97% (95% C.I. 79.34 – 86.09 %) had one or more welfare-associated lesions, ear marks being the most prevalent. 5.4% (95% C.I. 5.48 – 10.26%) were transported to the slaughterhouse tied to motor bikes and bicycles, while 27.44% (95% C.I. 23.59 – 31.65%) were transported under conditions of high loading density. Approximately half, 47.98% (95% C.I. 43.61 – 52.37%) were slaughtered on the day of purchase.
16.52% (95% C.I. 13.05 – 20.70%) of the pork meat samples were classified as sub-optimal quality including; RSE (11.36 %, 95% CI. 8.47 – 15.06%), PSE (2.58%, 95% C.I. 1.32 – 4.85%) and DFD (2.58%, 95% C.I. 1.32 – 4.85%).
Multinomial logistic regression revealed significant associations between; slaughtering pigs on the day of purchase and obtaining RSE pork (Odds Ratio 3.66 (95% CI 1.44 - 9.30)); and transporting pigs at a high loading density and obtaining DFD pork (OR 14.0 (95% CI 2.73-72.15)). These results indicate the need to educate pork value chain stakeholders on improved pig handling.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["19e01dc9-22cb-4850-9e42-985898b24c36","e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Derrick Noah Sentamu","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 2.E - Food Safety","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-08T13:30:00+00:00","BaseEndDateTime":"2022-08-08T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T18:00:00.0000000+00:00"},{"Id":"ed4700f7-6271-44a5-b203-964660bc4356","SessionBlockId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","Name":"2_Special Session Part 1: Systems Approaches to Promote Better Health for Animals, People and Ecosystems","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":"13:30: Opening and eVoting on people’s experience with systems and transdisciplinary approaches

\r\n13:40 - 14:15
\r\nProf. Liza Rosenbaum Nielsen– Adaptability, learning and sharing in One Health initiatives to improve systems thinking and strengthen collaboration between silo-organised health systems
\r\n14:15 - 14:30
\r\nDr. Cécile Aenishaenslin - A system approach to evaluate the added value of One Health surveillance for antimicrobial resistance based on the Canadian experience
\r\nDr. Maria Garza - A systems approach to understand drivers of AMU and AMR in aquaculture systems in Northern Vietnam

\r\n14:30 - 15:00
\r\nDiscussion & Q+A\r\n","Overview":"Chairs: Klara Saville & Barbara Haesler","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Adaptability, learning and sharing in One Health initiatives to improve systems thinking and strengthen collaboration between silo-organised health systems","PresentationBio":"Liza Rosenbaum Nielsen conducts research and project leadership, teaching and supervision, scientific advisory consultancy and research evaluation within epidemiology, surveillance and control of infectious animal diseases and zoonoses. She was involved in the development of the evaluation framework and tools generated by the Network for Evaluation of One Health (NEOH, an EU COST Action) and has applied the framework in a One Health initiative in Bolivia. She works with systems thinking and sustainability of animal-based food production systems in her current research projects.

","Title":"Prof.","FirstName":"Liza","LastName":"Rosenbaum Nielsen","Position":"Professor in Veterinary Preventive Medicine","Organization":"University of Copenhagen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The “Network for Evaluation of One Health” (NEOH) developed a systems thinking-based framework with tools for evaluation One Health (OH) initiatives. It calls for a thorough understanding of the context with key system dimensions and drivers underlying a given initiative aiming to tackle complex health challenges, often in highly dynamic socio-ecosystems.

Objective
This presentation aims to reflect on various system features that may affect, and may be affected by OH-initiatives, including research, development, educational or surveillance activities. Particular emphasis is placed on benefits and challenges of ensuring adaptability in project implementation, along with learning and sharing activities in such initiatives.

Materials and methods
NEXTCAP is an on-going civil society development project aiming to build capacities and advocate for improved OH in rural Bolivian Amazon communities. The initiative is coordinated locally by an NGO Teko Kavi in La Paz and led by a Danish Civil Society Organisation DIB. University of Copenhagen is consulting on research elements and evaluates the processes and OH outcomes using the NEOH framework on NEXTCAP.

Results
After an initial NEOH evaluation, the focus was increased on learning activities in NEXTCAP. The initiative was successful, even during the crisis of the COVID-19 pandemic, due to its adaptability. Trust and new connections are built between important health institutions, environmental drivers of disease are better understood, and engaging learning approaches are used to perform research and share knowledge and awareness among indigenous and other rural communities.

Conclusion
Collaborative, learning-based OH-initiatives with citizen science elements may improve health in challenged ecosystems.
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Chairs: Klara Saville & Barbara Haesler","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-08T13:30:00+00:00","BaseEndDateTime":"2022-08-08T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T18:00:00.0000000+00:00"},{"Id":"bb86a92e-d2a5-40ee-a236-98aaa56c7ae5","SessionBlockId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","Name":"Breakout Session 2.D - One Health","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The Global Burden of Neglected Zoonotic Diseases: current state of evidence","PresentationBio":null,"Title":"Ms.","FirstName":"Carlotta","LastName":"Di Bari","Position":"Research Assistant","Organization":"Sciensano","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The majority of emerging infectious diseases are zoonoses, most of which are classified as “neglected”. By affecting both humans and animals, zoonoses pose a dual burden. The disability-adjusted life year (DALY) metric quantifies human health burden since it combines mortality and morbidity. This review aims to describe and analyze the current state of evidence on neglected zoonotic diseases (NZDs) burden and start a discussion on the current understanding of the global burden of NZDs.
Methods
We identified 26 priority NZDs by combining CDC One Health Zoonotic Disease Prioritization, the Joint External Evaluation reports, and the WHO roadmap for NTDs. A systematic review of global and national burden of disease (BoD) studies was conducted using pre-selected databases. Data on diseases, location and DALYs were extracted for each eligible study.
Results
A total of 1887 records were screened, resulting in 72 eligible studies (58 national or sub-national, 12 global, and 2 regional studies). The highest number of BoD was found for non-typhoidal salmonellosis (23), whereas no estimates were found for West Nile, Marburg and Lassa fever. Geographically, the highest number of studies was performed in the Netherlands (11), China (5) and Iran (4). The number of BoD retrieved mismatched the perceived importance in national prioritization exercises. For example, anthrax was considered a priority NZD in 73 countries, but only one national estimate was retrieved. By adding up the available global estimates, these diseases caused roughly 20 million DALYs
Conclusions
The global burden of disease landscape of NZDs remains scattered. There are several priority NZDs for which no burden estimates exist, and the number of BoD studies does not reflect national disease priorities. To have complete and consistent estimates of the global burden of NZDs, these diseases should be integrated in larger global burden of disease initiatives.
Keywords: Burden of disease; Zoonotic diseases","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","cb344d68-5710-46be-a916-dd122f96ab66","8fc4d524-a96c-44ab-af7e-21be4a6db35f","1431029c-0cdf-4ff9-912e-8fee50ef8438","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Carlotta Di Bari","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Graph Databases to Address Reproducibility of Data-Driven Estimates for the Global Burden of Animal Diseases","PresentationBio":null,"Title":"Miss","FirstName":"Kassy","LastName":"Raymond","Position":null,"Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The Global Burden of Animal Diseases (GBADs) aims to calculate the economic and health burden of animal diseases by combining and integrating data from national and global sources. Categorization of livestock species is crucial for estimating such metrics. Categories differ, however, between and within data sources, posing issues in the Findability, Accessibility, Interoperability, and Reusability (FAIR Principles) of the data. Furthermore, difficulties tracking data provenance hinders the ability to accurately reproduce pre-existing estimates. We propose using a Graph Database (GraphDB) to enhance research reproducibility by tracking livestock data provenance and evaluating the corpus of livestock categorizations in national and global data repositories.

Methods
Categorizations used for livestock species were programmatically collected from the FAO Statistical Database (FAOSTAT), the World Organization for Animal Health (OIE), the Ethiopian Central Statistics Agency, and Eurostat. A GraphDB management system, Neo4j, was used to create a GraphDB that tracks data provenance and supports the analysis of livestock categories between and within data sources.

Results
Analysis of the GraphDB identified similar and different livestock species categories between and within data sources and countries over time. Synonymous categories improve the Findability of data resources in data repositories. Conversely, mismatches in categorizations implicate differences in how data are interpreted and thus used. Therefore, tracking data provenance is indispensable to ensure that estimates can be reproduced.

Conclusion
The use of GraphDBs in GBADs provides a programme-wide data management tool that allows the data provenance of disease burden estimates to be tracked and reproduced. Furthermore, differences in categorizations of livestock by global and national organizations over time have been identified, motivating future research to improve the semantic interoperability of the data. The utility of this tool can be extended to improve data management and research reproducibility in other One Health domains.

Data-driven estimates, Graph Databases, One Health, Data Governance ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Kassy Raymond","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An inventory of zoonotic and food-borne disease surveillance systems: Exploring the One health knowledge base","PresentationBio":null,"Title":"Dr.","FirstName":"Johanna","LastName":"Dups-Bergmann","Position":"","Organization":"Friedrich-Loeffler-Institut","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Effective disease-management is often underpinned by surveillance data. For zoonotic and food-borne diseases that benefit from a One Health (OH) approach, data from multiple surveillance systems are often required. However, identifying and accessing these data can be difficult. To address this problem, we aimed to develop an accessible inventory of the zoonotic and food-borne disease surveillance systems in existence across Europe.

Materials and methods: We created spreadsheet-based questionnaires to collect uniform data describing relevant surveillance systems from each of the following sectors: animal health, public health, and food safety. The variables for inclusion were determined by consensus selection following several rounds of consultation with European Joint Programme ’ORION’ project members and stakeholders. Final questionnaires were then sent to all European Joint Programme ‘ORION’ and ‘MATRIX’ project partners for data contribution. Contributed data were uploaded to an interactive purpose-built web-based application (https://shiny.fli.de/ife-apps/EJPOrion_WP2Epi/), developed using the “Shiny” package of the R programming language. Data of the inventory were descriptively analysed using RStudio.

Results: As of 8 February 2022, the inventory contained 216 entries for public health, 299 for animal health and 204 for food safety. Altogether, surveillance systems were reported for over 90 unique pathogens. Analysis of the data revealed several instances of the same pathogen under surveillance across all three sectors within a country, demonstrating scope for cross-sectoral surveillance based on existing systems. However, inter-sectoral differences were observed in the definitions of common terminologies, and in various surveillance elements such as system objectives, sampling context and sampling strategy.

Conclusions: Overall, the inventory provides an accessible record of surveillance systems for food-borne and zoontic diseases in Europe, facilitating information exchange across sectors and countries for improved OH approaches to disease management. Furthermore, the results of our analysis support improved cross-sectoral understanding of the differences in the surveillance approaches from each sector.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","8fc4d524-a96c-44ab-af7e-21be4a6db35f","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Johanna Dups-Bergmann","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"“I think it is quite a risky business actually!” Perceptions of Zoonotic Disease Risks by Food Animal Veterinarians.","PresentationBio":null,"Title":"Dr.","FirstName":"Nichelle","LastName":"Jasper","Position":"Research Assistant","Organization":"University of Georgia","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8e0d7fa0b98148ccbd43cd0f3fb4cdb4","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Exposure to zoonotic disease is expected while practicing veterinary medicine. However, reports of occupational infections among US may indicate a lack of adherence to appropriate prevention strategies. To identify key targets for infection control strategies among veterinary personnel, the objectives of this pilot study were to, 1) investigate food animal practitioners’ perceptions about zoonotic disease exposure and their personal risk of infection, and 2) evaluate case-based infection prevention decision-making.

Materials and Methods: Three food animal practitioners from Trinidad and Tobago participated. Each practitioner completed a 40 - 60 minute interview conducted and recorded via Zoom®. While interviews were standardized, they were allowed to evolve in an organic manner. Participants were asked their demographics, perceptions of zoonotic risk, and on-farm infection control practices. Each participant also responded to a specific case scenario of a diarrheic calf suggestive of Cryptosporidium parvum. Transcripts were generated using Temi® software, checked for accuracy, and thematic analysis was conducted using NVivo® software.

Results: Respondents agreed unanimously about the importance of zoonotic disease exposure risk. However, responses to the case scenario highlighted differences in practitioners’ perceived level of risk and infection control decision-making, particularly regarding the appropriate level of PPE required for on-farm practice. This suggests that in the absence of employing ‘standard’ infection control practices, individual perceptions may lead to varying levels of exposure and preventable zoonoses in practitioners.

Conclusion: These preliminary results suggest that while food animal practitioners have a general awareness of their risk of exposure to zoonotic disease and that it’s application is inconsistent, highlighting the absence of standard infection control practices. This study’s validation presents an opportunity for its use with food animal practitioners providing greater insight for evidence-based, best practices infection prevention strategies in the veterinary profession.

Keywords: zoonotic disease, infection control, perception, risk, qualitative
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","8fc4d524-a96c-44ab-af7e-21be4a6db35f","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Nichelle Jasper","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Animal Diseases Prioritization for Prince Edward Island Surveillance System: A One Health Perspective","PresentationBio":null,"Title":"Dr.","FirstName":"Ibrahim","LastName":"Elsohaby","Position":"Veterinary Epidemiologist","Organization":"Government of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d3bf1b2a6ac64f378f06f31a26688cee","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: To identify and create a prioritized list of animal diseases of greatest concern for Prince Edward Island (PEI) surveillance using a One Health approach, defined the criteria for prioritization, and determined questions and weights relevant to each criterion.
Material and Methods: Six workshops were held separately between December 2019 and March 2020 with participants from the government and non-governmental sectors to prioritize diseases in six animal species (bovine, equine, swine, poultry, small ruminants and bees). Prioritization criteria were selected for each workshop, and questions and weights describing each criterion were developed. An Analytic Hierarchy Process was then used to rank each criterion and a Decision Tree Analysis was applied to provide a ranked list of diseases for each animal species.
Results: In total, 49 participants were attended the six workshops with an average of 8 participants per workshop. Five criteria were selected to prioritize diseases in PEI including disease severity, epidemic potential in animal, availability of effective prevention and control measures, public health impact and socio-economic impact. Eleven to fifteen questions were developed to describe the selected criteria. Participants identified 27 bovine, 19 equine, 26 swine, 21 poultry, 19 small ruminants and 15 bees’ diseases as priorities for PEI. Diseases which get the highest score in each animal species were tuberculosis (bovine), vesicular stomatitis (equine), brucellosis (swine), highly pathogenic avian influenza (poultry), foot and mouth disease (small ruminants) and varroa destructor (bees).
Conclusion: Using One Health approach and multi-stakeholder engagement in diseases prioritization helped in criteria selection, identification of potential challenges and the acceptability of any future decisions. Prioritizing the animal diseases of greatest concern for PEI will be considered in future decisions regarding resource allocation for disease surveillance, control and prevention in PEI.

Keywords: prioritization, One Health, surveillance, decision tree analysis
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ibrahim Elsohaby","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"WildHealthNet: A One Health approach to sustainable wildlife health surveillance ","PresentationBio":null,"Title":"Dr.","FirstName":"Mathieu","LastName":"Pruvot","Position":"Assistant Professor","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction: Wildlife and their interfaces with people and livestock are essential surveillance targets to monitor the effects of environmental changes on biodiversity and the emergence of new pathogens affecting wildlife, livestock, and human health. However, unbalanced investments in One Health have neglected wildlife health surveillance at national and global scales, particularly in lower and middle income countries (LMICs) where previous efforts have been limited in scope and duration.

Methodology: Building on decades of wildlife health work, and close relationships with environmental sector and One Health partners in over 60 countries, the Wildlife Conservation Society (WCS) has been developing and implementing WildHealthNet, a new locally-scaled multi-pronged One Health approach to establish wildlife health surveillance in LMICs. WildHealthNet utilizes existing capacity in the environmental, animal, and public health sectors, and focuses on iterative field implementation and policy development (WildHealthBuild), capacity building (WildHealthSkills), data collection and management systems (WildHealthTech), and supports management actions (WildHealthRespond).

Results: WildHealthNet has been piloted in Cambodia, Lao PDR, and Viet Nam to support the development of national wildlife health surveillance systems. Networks included protected area rangers, wildlife rescue centers, livestock and human health sector staff and laboratories, and community members. Surveillance activities detected outbreaks of H5N1 highly pathogenic avian influenza in wild birds, African swine fever in wild boar (Sus scrofa), Lumpy skin disease in banteng (Bos javanicus), and other priority endemic zoonotic pathogens. In Cambodia and Lao PDR, national plans for wildlife disease surveillance are being signed by governments.

Conclusion: Cross-sectoral and trans-disciplinary approaches are needed to implement effective and sustainable wildlife health surveillance systems at global scale. WildHealthNet responds to the global needs for wildlife health surveillance and supports the OIE Wildlife Health Framework objectives, but will require further investments and a consortium approach, where key global stakeholders coordinate and align into a coherent workflow.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","07442f92-20d6-40eb-b297-c4897bc5781e","76c84259-9a28-4ba9-a370-db4b00031911","fad4e092-eee7-46ed-b4a6-a335b0f641b7","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","8fc4d524-a96c-44ab-af7e-21be4a6db35f","02f86f29-9eae-4d8d-b937-84e31f38e74d","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mathieu Pruvot","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 2.D - One Health","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-08T13:30:00+00:00","BaseEndDateTime":"2022-08-08T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T18:00:00.0000000+00:00"},{"Id":"ed44d921-18b5-415b-996b-9f60fc06a350","SessionBlockId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","Name":"Breakout Session 2.A - Capacity building in national veterinary service/ Climate Change Impacts and Policy","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The effect of climate change on the spread of bluetongue in Australian livestock","PresentationBio":null,"Title":"Dr.","FirstName":"Shumoos","LastName":"Al Riyami","Position":"Senior Epidemiologist","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/98aa34d4a60645dc9d756d877bd8a8f1","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"* Corresponding author email: [email protected]

Keywords: vector-borne disease, simulation modelling, climate change

Objective
We investigated the effect of climate change on the expected spread of bluetongue in Australia using the Australian Animal Disease Spread model (AADIS).

Materials and methods
Estimates of average daily temperature across Australia for 2015 were obtained from the Australian Bureau of Meteorology. Predicted average daily temperatures using the CanESM2 model (emission scenario RCP 8.5) for 2025 and 2035 were obtained from the Australian Climate Futures decision-support tool. Two study areas were selected: North Queensland and Northern New South Wales. A total of 24 virulent bluetongue outbreak scenarios were run: mid-summer and mid-winter incursions for each study area for 2015, 2025 and 2035, with direct animal movements disabled and enabled for each.

Results
There were marked increases in the predicted number of bluetongue positive herds as a function of simulation year in the North Queensland outbreaks when live animal movements were included. For Northern New South Wales, this trend was not as distinct, but the variability of predicted outbreak sizes for the 2035 incursions were greater than the variability of predicted outbreak sizes for the 2015 incursions.

Conclusions
Climate change will result in a greater portion of the land area of Australia with conditions suitable for Culicoides midges. Our findings show that under conditions of climate change and an outbreak of virulent bluetongue in Australia, the rapid imposition of effective restrictions of animal movement will be the single most important control measure to limit further spread of disease.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["26b4b891-ec44-4aba-abc6-e9254d87df53","5178adf1-eaeb-4d5b-8fce-b18677488f5a","43b008b2-8eab-460a-b708-b149b223981a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Shumoos Al Riyami","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Identifying the competencies required of climate change professionals to enrich One Health education","PresentationBio":null,"Title":"Miss","FirstName":"Carrie","LastName":"McMullen","Position":"Phd Candidate","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a73ad72eaff44528ac113d8f9dbe8b0f","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The objective of this research is to identify One Health and climate change competencies that will be used to strengthen One Health university programs across Canada, including veterinary education.

Materials and methods: Focus groups were organized with climate change professionals working across Canada to discuss the competencies (i.e., knowledge, skills, and attitudes) that have helped them be successful throughout their careers and to move climate change mitigation or adaptation into practice. Previously developed One Health competencies were shared with participants for feedback regarding whether competencies should be added or removed based on their experience. The focus group sessions were audio- and video-recorded to facilitate transcription and thematic analysis.

Results: Four independent focus group sessions with a total of 21 climate change professionals were conducted, with open-ended and probing questions to facilitate discussion. Participants came from a variety of governmental and non-governmental organizations from across Canada and were organized into groups based on location of employment: Ontario, Quebec, Atlantic Canada, and Western Canada. Preliminary thematic analysis shows general agreement that the proposed One Health core competencies, including holistic understanding of health, leadership and collaboration, problem solving and critical skills, knowledge mobilization and communication, and professional and ethical behaviour, are also valuable for fighting climate change. Suggestions for added competencies include making climate issues relatable, ability to turn knowledge into action, and being willing to learn from our mistakes to do better.

Conclusion: By identifying the similarities and differences between One Health and climate change competencies we can enrich One Health programs to better prepare graduates to address climate change and its associated health challenges.

Key words: One Health, curriculum development, competencies, climate change, education","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["26b4b891-ec44-4aba-abc6-e9254d87df53","02f86f29-9eae-4d8d-b937-84e31f38e74d","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Carrie McMullen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Shared depleted natural water sources link beef cattle, wild boars and humans in a large leptospirosis outbreak in the Mediterranean temperate climate of Israel","PresentationBio":null,"Title":"Mr.","FirstName":"Lior","LastName":"Zamir","Position":"","Organization":"Veterinary Services and Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Leptospirosis, a disease mainly associated with water abundance in the tropical climate zone was, in contrast, found to be associated with scarcity of available water sources after consecutive years of drought in the Mediterranean temperate climate. During the summer of 2018, the Israel Ministry of Health reported an outbreak of leptospirosis among individuals with a history of recreational activity in several streams and natural pools in the Golan Heights region. An animal source was suspected.
Materials and methods: From August through October 2018, we conducted a serological survey of 848 beef cattle belonging to 29 herds from 11 farms, and 13 wild boars, all of which were located in proximity to the streams suspected to be contaminated during the human outbreak. Sera were tested by the micro agglutination test (MAT) for the presence of antibodies against serovar Pomona.
Results: Seropositivity (titer ≥1:100) of 233/845 (27.6%, 95% confidence interval (CI95%) =24.6-30.1%) was found in beef cattle, and 7/13 (54%, CI95%=25.1-80.8%) in wild boars. The seroprevalence in beef cattle varied between animals drinking from natural water sources (220/539) and water troughs (13/306) and a significant positive association (odds ratio=18.6, CI95%=3-116, p-value<0.01) was found using a mixed effects logistic regression model with 'herd' as a random variable.
Conclusion: Under the increasing changes in climate in the last decades, Leptospirosis outbreaks may occur in less expected settings than previously described and this phenomenon may become more frequent in the future. The outcomes of this study emphasize the One Health link between animals, human and the environment, and the potential usefulness of adding water troughs for grazing beef herds, for preventing future outbreaks.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","fad4e092-eee7-46ed-b4a6-a335b0f641b7","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Lior Zamir","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Knowledge, Attitude and Practices (KAP) survey of farmers on antimicrobial use, antimicrobial resistance and use of the laboratory facilities","PresentationBio":null,"Title":"Dr.","FirstName":"Muhammad Usman","LastName":"Zaheer","Position":"Surveillance Lead","Organization":"Health Security Partners","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f9a65100ab4a493dbf6397648bf9a3ca","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Irrational use of antimicrobials is a global issue and is believed to contribute to the development of AMR. Farmers are major decision-makers regarding the use of antimicrobials, biosecurity measures, herd health management and use of laboratories. However, the data available about their practices is limited. Therefore, this study aims to explore the knowledge, attitudes, and practices of the dairy farmers regarding AMU, AMR and the use of laboratories.

A cross-sectional KAP survey was conducted from 28th June to 15th September 2021 in all provinces of Pakistan. A statistically robust sample (n=430), proportional to the size of the human population was obtained. The selected dairy production system includes smallholders, market-oriented farms and peri-urban farms. Data was collected using a questionnaire, developed through consultative process, containing different questions about AMU, AMR and the use of laboratories. The questionnaire was reviewed and pretested before finalization. Descriptive analysis was done.


Of 443 respondents, 99% were males and 14% never went to school. 96% never vaccinated their animals for Brucella and 32% mentioned using antibiotics in FMD. Only 26% heard about antibiotic resistance. 56% mentioned keeping leftover antibiotics for future use. 74% mentioned buying antibiotics without veterinary advice and 98% get antibiotics from the veterinary drug store. 67 % do not keep a record of the antibiotics used on their farms and 11% never heard about veterinary laboratories.


Dairy farmers lack knowledge of AMR and AMU. Major factors influencing their behavior were lack of knowledge about AMR, inaccessibility to laboratories, cost of veterinary services and no training regarding AMU and AMR. Awareness of the farmers along with providing them with best practice guidelines will be an effective strategy to reduce the global burden of AMR. Furthermore, regulation to restrict the over-the-counter availability of antibiotics should be implemented.


KAP, Antibiotic use, Antibiotic resistance, Dairy farmers, Pakistan

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","0c879798-e821-4cff-bf7e-791d4b78ec7f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Muhammad Usman Zaheer","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 2.A - Capacity building in national veterinary service/ Climate Change Impacts and Policy","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-08T13:30:00+00:00","BaseEndDateTime":"2022-08-08T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T18:00:00.0000000+00:00"},{"Id":"517aa74a-9a35-4504-8a70-e516fdde5892","SessionBlockId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","Name":"Breakout Session 2.C - Epidemiologic studies in specific species (Swine)","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Emergence of a new Lineage 1 sub-lineage C (L1C) porcine reproductive and respiratory syndrome virus (PRRSV2) variant","PresentationBio":null,"Title":"Dr.","FirstName":"Mariana","LastName":"Kikuti","Position":"","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cfd91bfecffe4a98937e5bb8e11773f8","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
To describe the viruses associated with several farm-level porcine reproductive and respiratory syndrome (PRRS) outbreaks reported by swine producers to the Morrison Swine Health Monitoring Project (MSHMP).
Materials and methods
The ORF5 PRRSV2 sequences associated with these cases were compared to over 30,000 historical sequences (1998 – May 2021) from routine monitoring efforts in breeding, gilt developing units, growing and finishing herds amongst MSHMP participants (representative of 50% of the U.S. breeding herd). The emerging genetic cluster was defined by a nucleotide identity of ≥98% between samples and was classified into lineage/sub-lineage and RFLP patterns. Phylogenetic trees were constructed using NextStrain comparing outbreak sequences to 8,922 L1C sequences. A subset of cases was submitted for whole genome sequencing and compared to 365 PRRSV2 whole genome sequences from North America publicly available at GenBank.
Results
All 192 cases were classified as L1C. Most cases (172/175; 98.29%) were RFLP 1-4-4 type, while two were 1-4-3 and one was 1-7-4 RFLP types. 154 breeding and grow-finishing sites in the Midwestern U.S were affected. Transmission seemed to have occurred in two waves, with the first peak of weekly cases occurring between October-December 2020 and the second starting in April 2021. Majority of cases occurred in a 120 km radius. ORF5 and whole genome sequencing results suggests that this represents the emergence of a new variant within L1C. No specific risk factor was associated with the transmission of this variant compared to other co-circulating variants, but sites affected had overall higher median finishing mortality.
Conclusion
The occurrence of within farms PRRS outbreaks in several sites associated with such a highly similar virus at the ORF5 region is unprecedented and rises concerns for the next high transmission season of PRRS.
Keywords
disease outbreak, porcine reproductive and respiratory disease virus, epidemiology, swine diseases, epidemics

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mariana Kikuti","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Adapting an atmospheric dispersion model to assess the risk of windborne transmission of PRRSv between swine farms","PresentationBio":null,"Title":"Dr.","FirstName":"Kaushi","LastName":"Kanankege","Position":"Researcher","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4f5f3b4ae9a047ce9c3850b78129e5d7","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Among the routes of between farm transmission of porcine reproductive and respiratory syndrome virus (PRRSv), assessing the windborne local area transmission of aerosolized particles containing PRRSv in a near real-time manner, and allotting the level of risk has been challenging to the swine industry. In this interdisciplinary study, an atmospheric dispersion model (ADM) was adapted for the first time to model windborne dispersion of PRRSv between farms. ADMs are commonly used to predict concentration and dispersion of air pollutants emitted from sources such as power plants.
Input parameters for ADMs for aerosolized PRRSv were identified through a literature review coupled with expert opinion. The parameter values capture epidemiological features of PRRSv, and survival of the aerosolized virus in relation to key meteorological features. Specifically, particle diameter, density, release height, release quantity, the timespan the virus stays viable and infectious, wind direction, speed, turbulence. A sensitivity analysis was conducted to identify influential parameters. Farms experiencing ongoing PRRSv outbreaks were assigned as sources. Wind data from the North American Mesoscale Forecast System (NAMS) was used to model dispersion. The risk was estimated based on the sum of particles deposited over 14-days, and the distance to the closest source farm.
The sensitivity analysis determined that the scenario with the combination of 36h model run time, with 10,000 particles emitted, at 4 m-AGL emission height produced measurable range of deposition values throughout the terrain. In this scenario, the risk of windborne PRRSv dispersion was highest at farms within 10 km from the source, however, high concentrations of aerosols reached up to 50 km and beyond.
This approach to modeling windborne dispersion of PRRSv and risk estimation using ADMs may inform optimum time intervals for air sampling, planning preventive measures, and aid ruling out the windborne dispersion in outbreak investigations.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kaushi Kanankege","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Validation of production thresholds for early detection of PRRSV outbreaks in sow farms","PresentationBio":null,"Title":"Mr.","FirstName":"Gustavo","LastName":"Silva","Position":"Assistant Professor","Organization":"Iowa State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective. The objective of this study was to assess the performance of the number of aborts per 1,000 sows/week as an early indicator of PRRSV outbreaks in sow farms.
Materials Methods. Fifty-eight PRRSV outbreaks from 34 commercial breed-to-wean farms located in the MidWest region of the U.S were characterized. For each farm, the number of aborts per week (standardized to aborts per 1,000 sows/week) was compared to the weekly PRRSV status based on diagnostics. The performance was assessed using contingency tables to compare different thresholds for the number of abortions/week relative to the reported PRRSV outbreaks (gold standard). The baseline, average, and standard deviation (S.D.) were created using each farm's 12-week average of aborts per week. The thresholds were 0.5 SD, 1 SD, 1.5 SD, 2 SD, 2.5 SD, and 3 S.D. above the average. The sensitivity and specificity were calculated if there was any signal above average using 1-week and 2-week average with spikes in aborts/1,000 sows before or after the change PRRSV status, respectively, assessed for each threshold.
Results. The 34-farm average was 0.9 (±0.6 S.D.) aborts/1,000 sows (a sow farm with 5,000 sows had an average of 4.5 aborts/week). Using a threshold of 0.5 SD above the mean or 1.2 aborts/1,000 sows the sensitivity was 98.2% and 94.8% using the 1-week and the 2-week average in aborts/1,000 sows, respectively. Higher the threshold, lower the sensitivity. Moreover, specificity was 100% at 2.5 SD or 3 aborts/1,000 sows.
Conclusion. The results showed that the number of aborts has great sensitivity and specificity to early detect outbreaks. Early detection of signs associated with PRRSV outbreaks allows early investigation with diagnostic tests, which in turn allows rapid response to mitigate infection in the herd and to prevent virus spread among farms sharing resources.
Keywords: production data surveillance, early detection, PRRSV, aborts. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","b838af4f-bddf-4b1b-84d6-642a51a831fd","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Gustavo Silva","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Investigation of the use of sow off-feed events and number of abortions to early detect Porcine Reproductive and Respiratory Syndrome (PRRSV) outbreaks in breeding herds","PresentationBio":null,"Title":"Dr.","FirstName":"Mafalda","LastName":"Mil-Homens","Position":"Graduate Student","Organization":"Iowa State University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a16ed2332b214143a7e9ded203b36e18","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The objective of this study was to investigate weekly data on sow feed intake and abortion as early indicators of PRRSV outbreaks in breeding herds.

Materials and Methods
A retrospective study was conducted using production data from two breed-to-wean farms in the U.S. Midwest. The number sow off-feed and abortions/week were compared to the PRRSV status. The outbreaks were reported between weeks 49 and 51 of 2021, one event per farm. The outbreak definition was the evidence of clinical infection (increase in abortions, increase in preweaning mortality) and virus detection by Polymerase Chain Reaction. The Exponentially Weighted Moving Average (EWMA) was used to investigate deviations of the explanatory variables in the weeks before the outbreak. The sigma (σ) parameter was set to 3 and the smoothing parameter (λ) to 0.40. The baseline was fifteen weeks and ten weeks without signals in the EWMA before the outbreak for each farm, respectively. A total of 53 weeks representing the year 2021 were used. Model performance was assessed comparing the EWMA signals and the PRRS virus status/week.

Results
The time-to-detect significant deviations on the number of aborts was two to five weeks before the outbreak report, and two to four weeks before for the number sows off-feed events per week.
The overall performance for abortions/week had a sensitivity of 100%, specificity of 95% and accuracy of 95 %. Sows off-feed events had a sensitivity of 100%, specificity of 68% and accuracy of 71%.

Conclusion
This study demonstrated that swine producers can monitor sow production data collected routinely to identify PRRSV outbreaks weeks early. This would lead to early implementation of biocontainment and bioexclusion measures to control the outbreak and virus spread to other sites, decrease production and economic losses, and lead to early stability.

Key words: Outbreak, early detection, off-feed, performance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mafalda Mil-Homens","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the Southeastern United States","PresentationBio":null,"Title":"Mr.","FirstName":"Felipe","LastName":"Sanchez","Position":"","Organization":"North Carolina State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The distance at which the risk of Porcine reproductive and respiratory syndrome virus (PRRSV) transmission from infected to susceptible farms is increased and how risk is distributed across the different farm types remains unknown. The objectives of this study were to 1) define the maximum spatial bandwidth at which farms may spread PRRSV and 2) identify farm types with elevated risk for transmission of PRRSV.
We used PRRSV weekly outbreak data from 2,294 farms between the years 2018 through 2020 in the Southeastern U.S. Relative risk was calculated for farms reporting outbreaks (cases) and farms not reporting outbreaks (controls) using an adaptive kernel density estimation at weekly timesteps.
Our results indicate the maximum spatial bandwidth for PRRSV spread was 15km, 17km, and 18km for the years 2018, 2019, and 2020, respectively. Weekly, relative risk varied greatly by year with seasonal risk detected (e.g. 2018) (Figure 1.a). The highest proportion (~40%) of farms having relative risk values above the exceedance risk cut-off of 60% was observed in 2018 (Figure 1.b). Farms were then classified as high (6%), medium (35%), and low (58%) exceedance risk (Figure 1.c). The distribution of high risk farms were 57% finisher, 25% sow, 13% nursery, 2.2% isolation, and 0.8% boar (Figure 1.d).
With the information gathered from this study, we will be able to target areas of elevated risk for the monitoring of PRRSV, and calibrate PRRSV transmission models using calculated spatial bandwidths as the maximum transmission distance.

Keywords: PRRS virus, spatial, temporal, livestock, disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7da89174392b47a18431eb12e2839e8e","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","40011888-980a-402c-868e-27ff2aacbc1b","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Felipe Sanchez","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modeling the spread of African swine fever and targeted interventions in Republic of North Macedonia ","PresentationBio":null,"Title":"Dr.","FirstName":"Kathleen","LastName":"O'Hara","Position":"Post-doctoral Scholar","Organization":"UC Davis","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives:
The global spread of African swine fever (ASF) continues, including the report of the Republic of North Macedonia’s first cases in January 2022. This work aimed to provide a better understanding of potential transmission routes of ASF in the country and to evaluate the implementation of mitigation strategies for reducing disease spread.

Materials and methods:
Domestic pig and wild boar population demographics, and live pig movement data from 2017-2019, informed a spatially-explicit stochastic agent-based disease spread model. ASF spread was simulated across a hexagonal grid of 10 km radius cells. Within each cell, disease transmission was modeled by a susceptible-infected-removed compartment approach. The magnitude and duration of the epidemic, as well as the time to detection and other relevant parameters, were estimated. Random forest and classification regression trees were used to assess the influence and interactions of model parameters.

Results:
Our model estimated the expected number of infected pig herds and infected wild boar within 1 year following introduction were 30 (28, 32) and 26 (23, 28), respectively. Stamping out infected pig herds reduced these herd estimates to 23 (19, 27). Reducing the average time to detection from 30 to 14 days reduced the expected number of infected pig herds to 12 (7, 17). Improved biosecurity reduced the number of affected farms to 14 (9, 18).

Conclusion:
Through collaboration with North Macedonia’s Food and Veterinary Agency, and the Food and Agriculture Organization, this model provides critical information to support risk-based, cost-effective ASF prevention and response efforts, directing resources to areas with the highest risk of disease spread, and informing the most impactful and cost-effective mitigations. Further, this work provides data on the pig sector in this region, informing future trainings, risk assessments, and future ASF modeling efforts.

Keywords: African swine fever, modeling, Republic of North Macedonia, Sus scrofa, pigs","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","5178adf1-eaeb-4d5b-8fce-b18677488f5a","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kathleen O'Hara","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"cbc0be97-49d7-4cb9-a6a7-7780005e1047","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 2.C - Epidemiologic studies in specific species (Swine)","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-08T13:30:00+00:00","BaseEndDateTime":"2022-08-08T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-08T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T18:00:00.0000000+00:00"},{"Id":"e8eb52ba-0084-4a98-8e1d-96efe5367989","SessionBlockId":null,"Name":"Monday PM Bio Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"15:00:00","EndTime":"15:30:00","StartTimeOverride":"15:00:00","EndTimeOverride":"15:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom Salon","Track":null,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e8eb52ba-0084-4a98-8e1d-96efe5367989","StartTimeString":"3:00 PM","EndTimeString":"3:30 PM","StartToEndTimeString":"3:00 PM - 3:30 PM","StartToEndTimeSortString":"3:00 PM - 3:30 PM","DisplayDetails":"Monday PM Bio Break │ Exhibits","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"3:00 PM - 3:30 PM","StartTimeOverrideString":"3:00 PM","EndTimeOverrideString":"3:30 PM","StartToEndTimeOverrideString2":"3:00 PM - 3:30 PM","BaseStartDateTime":"2022-08-08T15:00:00+00:00","BaseEndDateTime":"2022-08-08T15:30:00+00:00","BaseStartDateTimeOverride":"2022-08-08T15:00:00+00:00","BaseEndDateTimeOverride":"2022-08-08T15:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T18:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T18:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T18:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T18:30:00.0000000+00:00"},{"Id":"c9aa60ab-6f8a-4ce7-b257-16d267e201ab","SessionBlockId":"4cfaf303-76d6-4130-a3be-afce4d07ac5f","Name":"Breakout Session 3.B - Epidemiologic studies in specific species (Dairy and beef cattle)","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A systematic review of disease control strategies used to prevent infectious morbidity and mortality in pre-weaned beef calves","PresentationBio":null,"Title":"Dr.","FirstName":"Virginia Margarita","LastName":"Sanguinetti","Position":"Graduate Student","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fad85480287b4bcb998cee9ec1112c5d","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Productivity of cow-calf operations is restricted by the effects of Bovine Respiratory Disease (BRD) and Neonatal Calf Diarrhea (NCD) in calves. Disease control strategies aim to minimize the burden of disease, but evidence about their effectiveness for improving beef calf health and survival is limited.

Objective: Assess the published evidence about the effectiveness of disease control strategies for prevention of morbidity and mortality in pre-weaned beef calves.

Materials and methods: This systematic review followed PRISMA reporting guidelines, and the protocol was published a priori. Interventions of interest were colostrum management, vaccination, biosecurity, nutrition, and other management practices applied to pregnant dams or pre-weaned calves. Outcomes of interest were morbidity caused by naturally occurring BRD and NCD, and mortality in beef calves from 24 h after birth until weaning. Databases searched were CAB Abstracts on the Ebsco platform, MEDLINE on the Ovid platform, Web of Science Core Collection, and ProQuest Dissertations. Only clinical trials and observational studies with concurrent comparison groups were included. Studies were screened in two stages, and accepted studies underwent data extraction and risk of bias assessment.

Results: Initially, 3007 studies underwent title and abstract screening and 2828 were excluded. After full text screening, 26 studies were retained, most of which were observational studies evaluating several interventions (17/26). Season of calving was the intervention most frequently reported as significantly associated with the outcomes of interest. Vaccination practices showed variable results with a general trend of preventing detrimental effects in calves. Evidence summarized for biosecurity and colostrum management practices was minimal, and nutritional interventions showed inconsistent results.

Conclusion: Despite the multiple interventions of interest included in this review, the body of evidence remains scarce, most of the included studies were observational, and results were inconsistent.

Keywords: Bovine Respiratory Disease, Neonatal Calf Diarrhea, colostrum management, vaccination, biosecurity","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Virginia Margarita Sanguinetti","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The effect of long-distance transportation on hematological parameters in surplus dairy calves","PresentationBio":null,"Title":"Ms.","FirstName":"Hanne M.","LastName":"Goetz","Position":"","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/430739baad204b689477ac02f870f935","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The objective of this randomized controlled trial was to investigate the effect of transport duration on blood parameters in surplus dairy calves following 6, 12, or 16 h of road transportation.
Materials and methods: Surplus calves from 5 dairy farms in Ontario were enrolled and examined daily for 14 d prior to transport (n = 175). On the day of transportation, calves were randomly assigned to 6, 12, or 16 h of transportation and were weighed and blood sampled. Blood samples were also collected immediately after transportation. Serum was analyzed at a commercial laboratory for non-esterified fatty acids (NEFA), beta-hydroxybutyrate (BHBA), creatine kinase (CK), cholesterol, and haptoglobin. Blood gas values were assessed immediately after sampling. Repeated measures mixed models were built to assess the impact of transport duration on these parameters.
Results: Immediately following transportation, NEFA and BHBA were significantly higher (P < 0.01) in calves transported for 12 (+ 0.22 mmol/L NEFA; + 43.51 umol/L BHBA) and 16 h (0.04 mmol/L NEFA; 96.01 umol/L BHBA) compared to calves transported for 6 h. Glucose was lower following transportation in calves transported for 16 compared to 6 h (-15.54 mg/dL, P < 0.01). In addition, pH and HCO3- were significantly lower (P < 0.01) in calves transported for 12 (- 0.09 pH; - 1.59 mmol/L HCO3-) and 16 h (- 0.07 pH; -1.95 mmol/L HCO3-) compared to calves transported for 6 h.
Conclusion: These findings show that transporting calves long distances results in hypoglycemia and suboptimal energy status, and the impact of this experience depends on the calf’s age.
Keywords: Male dairy calf, dairy-beef, veal industry","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":"GoetzHanne","_facebookUrl":"","_linkedInUrl":"www.LinkedIn.com/in/Hanne-Goetz","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"GoetzHanne","FacebookUrl":"","LinkedInUrl":"www.LinkedIn.com/in/Hanne-Goetz","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=GoetzHanne","FullFacebookUrl":"","FullLinkedInUrl":"http://www.LinkedIn.com/in/Hanne-Goetz","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=GoetzHanne","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.LinkedIn.com/in/Hanne-Goetz","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Hanne M. Goetz","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Machine learning algorithms for behavioural monitoring in calves to inform on farm disease surveillance: Multi-class behaviour detection and quantification ","PresentationBio":null,"Title":"Mr.","FirstName":"Jorge Alberto","LastName":"Vazquez Diosdado","Position":"Assistant Professor","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Health and welfare, dairy calves, precision livestock, machine learning, positive welfare.


Objectives: Innovative technologies such as movement sensors can track the behaviour of large numbers of livestock over extended periods. By harnessing these data to detect behavioural changes that precede or occur alongside clinical disease, smart algorithms could enable real time, on-farm monitoring systems for endemic disease. However, current commercial technologies only detect a limited number of behaviours (e.g., lying time, step count) and do not capture the distribution of low prevalence behaviours, such as locomotor play in calves, which could help assess positive welfare. These limitations reduce the usefulness of sensor technologies for health and welfare monitoring. Our objective is to explore the potential of machine learning algorithms to detect and quantify diverse behaviours, including locomotor play, in dairy calves using a sensor.

Material and methods: We labelled sensor data, gathered from 13 pre-weaned calves, according to a detailed ethogram. Sensor signals were merged with behavioural observations and signal features were calculated. We created an AdaBoost ensemble machine learning algorithm to classify nine different behaviours. Play behaviour has a low prevalence which can lead to vast overestimation of this behaviour. We therefore implemented a machine learning quantification method to robustly predict play behaviour distribution.

Results: All behaviours were detected with high accuracy, including active lying, non-active lying, self-grooming, ruminating, and suckling at the milk feeder. Despite the low prevalence of play behaviour (0.27%), our quantification algorithm estimates were highly correlated with the true prevalence (0.97; p < 0.001) with a total overestimation of 18.97%.

Conclusion: Machine learning algorithms can monitor a diverse range of behaviours in dairy calves by use of sensor data including those that occur at low prevalence. We believe this work will contribute towards the assessment of welfare and disease by use of sensor technologies. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["19e01dc9-22cb-4850-9e42-985898b24c36","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","33998207-8c57-4717-9114-ccf9182e92bf","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Jorge Alberto Vazquez Diosdado","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Survey of the cattle health and production record-keeping methods and opinions of U.S. cow-calf producers","PresentationBio":null,"Title":"Mr.","FirstName":"William","LastName":"Jumper","Position":null,"Organization":"Mississippi State University College of Veterinary Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The objective of this study was to describe characteristics of U.S. cow-calf producers who use cattle health and production records (CHPR). We anonymously surveyed 14,294 cow-calf producers across the U.S. Multivariable logistic regression by manual forward selection was used to test demographic factors for association with record-keeping practices. A total of 3,741 (26%) responses received, with 3,641 (97%) respondents actively involved in cow-calf production. Of these, 87% maintained some form of CHPR. Handwritten records were kept by 62%, and electronic CHPR were kept by 37%. Ninety-two percent of respondents actively involved in cow-calf production had access to a computer for record-keeping purposes, 88% said internet access was available at their operation’s headquarters, and 85% said they had a smartphone. A cellphone-signal was available where cattle are worked for 67% of respondents, and 55% were interested in using a smartphone to record CHPR. Of respondents who kept CHPR, 56% said understanding currently available CHPR software was a challenge. Factors associated with keeping some form of CHPR were seedstock production (OR=5.0, 95%C.I.=3.6,7.2; compared to no seedstock involvement), age ≤64 years (OR=1.7, 95%C.I.=1.4,2.1; compared to age ≥65 years), female (OR=1.7, 95%C.I.=1.2,2.5; compared to male), cow-calf operation is primary income source (OR=1.5, 95%C.I.=1.2,1.9; compared to other primary income source), and education (Bachelor’s degree or less: OR=1.1, 95%C.I.=0.8,1.4; post-graduate/professional degree: OR=1.8, 95%C.I.=1.2,2.5; compared to high-school diploma or less). Operation type, producer age and sex, level of education, and income source are associated with U.S. cow-calf producer use of CHPR.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","b838af4f-bddf-4b1b-84d6-642a51a831fd","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. William Jumper","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4cfaf303-76d6-4130-a3be-afce4d07ac5f","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 3.B - Epidemiologic studies in specific species (Dairy and beef cattle)","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-08T15:30:00+00:00","BaseEndDateTime":"2022-08-08T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-08T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T19:30:00.0000000+00:00"},{"Id":"4494347e-0d84-4bd8-b95a-2822b218f248","SessionBlockId":"4cfaf303-76d6-4130-a3be-afce4d07ac5f","Name":"Breakout Session 3.C - Epidemiologic studies in specific species (Swine)","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Seasonal occurrence of African swine fever in domestic pigs and wild boar in Europe","PresentationBio":null,"Title":"Ms.","FirstName":"Lisa","LastName":"Rogoll","Position":"Doctoral Student","Organization":"Friedrich-Loeffler-Institut","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/45263f09ed584ec697fda17e8463d447","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
African swine fever (ASF) has spread widely within Europe. Most affected countries have outbreaks in both, domestic pigs and wild boar. In particular, outbreaks in domestic pigs were frequently reported in summer. The aim of the current study was to investigate the seasonal pattern of ASF in domestic pigs and wild boar across affected countries in Europe.

Material and Methods
Outbreak data from ADNS, the animal disease notification system of the EU, which was in place until April 2021, and its successor, ADIS (animal disease information system), were used. The name of the country, the species affected (domestic pigs or wild boar), and the date of detection were extracted. Detection dates were aggregated to monthly intervals. The seasonality of domestic pigs and wild boar reports was examined separately for each affected country to identify differences.

Results
In domestic pigs, similar patterns were observed, with outbreaks mainly reported in the summer months (June to September, predominantly in July and August). This pattern was evident in all countries, regardless of the number of cases reported. In wild boar, the monthly pattern of disease reports was not uniform amongst the examined countries. Wild boar ASF reports in the Baltic States showed, in addition to an accumulation of cases in winter, also increased case numbers during summer months, which was not recognizable in other affected countries.

Conclusion
Knowledge on the seasonal pattern of ASF occurrence provides the potential to adapt control or prevention measures, like increasing biosecurity measures during certain times of high risk. Knowledge on potential seasonal patterns in wild boar will enable targeted surveillance for the detection of disease in previously unaffected areas and detection of spread in affected areas.

Keywords
African swine fever, seasonality, surveillance, domestic pigs, wild boar
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["76c84259-9a28-4ba9-a370-db4b00031911","3c633f59-5da2-4213-a804-5e21f6f27422","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/lisa-rogoll-835b471a3","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/lisa-rogoll-835b471a3","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/lisa-rogoll-835b471a3","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/lisa-rogoll-835b471a3","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Lisa Rogoll","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"African swine fever clinical presentation and transmission patterns in an infected boar stud","PresentationBio":null,"Title":"Mr.","FirstName":"Peter","LastName":"Bonney","Position":"","Organization":"University of Minnesota","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Boars in a stud on an Asian farrow-to-finish farm tested positive for African Swine Fever virus (ASFV) in March of 2019. We describe the case in the boars and model the spread of ASFV using a heterogeneous disease transmission model to characterize the spread pattern and infer possible spread mechanisms.

The farrow-to-finish farm, besides having gestation, farrowing, nursery and finishing pig barns, had two boar stud barns each housing 60 boars in individual pens. A total of 16 boars had clinical signs consistent with ASF between the two barns before depopulation was initiated following an ASFV-positive diagnostic test result. The case information consisted of the number and location of sick boars, daily mortality, and descriptions of the clinical signs. Using these data, we estimated parameters for a heterogeneous disease transmission model. Briefly, the heterogenous model captures within-barn transmission due to direct contacts between pigs in adjacent pens and transmission due to distance-independent, fomite-mediated spread. The model can also capture between-barn transmission. Transmission parameters and the time of virus introduction were estimated using an Approximate Bayesian Computation approach, which involves selecting parameter sets that produce simulated output resembling the observed data.

Clinical signs in the boars included depression, anorexia, and low-grade fevers (~40C). Boars died within 1 to 3 days after displaying clinical signs. Disease spread in both barns was highly clustered with the majority of transmission estimated to be from direct pig-to-pig contact by pigs in adjacent pens.

This report and analysis of a case where boars were infected with ASFV on a commercial premises in Asia provides critical information on the clinical presentation and spread of ASF within boar barns. The information can help inform outbreak response planning such as designing active surveillance protocols for boar studs.

Keywords
African Swine Fever; boar stud; mathematical modelling; disease transmission
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","40011888-980a-402c-868e-27ff2aacbc1b","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Peter Bonney","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Transmission parameter estimation for ASF between Lao smallholder pigs","PresentationBio":null,"Title":"Ms.","FirstName":"Nina","LastName":"Matsumoto","Position":"PhD Candidate","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Bayesian models, Disease modelling, ASF

Objectives: The epidemiology and modelling of African Swine Fever (ASF) is a topic of wide discussion since its 2018 arrival in China and subsequent spread throughout Southeast Asia into Lao Peoples Democratic Republic (PDR). Lao PDR presents unique challenges to ASF control, where production systems are varied, and extensive shared land borders allow for porous disease spread. ASF transmission studies on commercially raised pigs provide estimates of R0 ranging from 2.67-16.2 or higher depending on the study. To date, there is no published data on ASF transmission amongst smallholder village pigs, where ASF risk factors such as free-ranging are common, but pig density is much lower.

Materials and methods: Daily ASF mortality data from four smallholder villages representing the northern Lao province of Oudomxay (n = 2) and the southern province of Savannakhet (n = 2) were collected as part of a structured disease outbreak investigation survey. These data were then fitted to a deterministic Susceptible-Latent-Infectious-Removed model through a stepwise Approximate Bayesian Computation with Sequential Monte Carlo (ABC-SMC) approach. The ABC-SMC model utilised priors from literature on the Georgia 2007 ASF strain and field data collected at the same time as the mortality data to estimate output parameters (R0, mean latent period, mean infectious period) for ASF that best fitted the available mortality data.

Results: The model’s posterior outputs demonstrated the R0 to be 1.07-1.76, the mean latent period to be 4.72-6.19 days and the mean infectious period to be 2.63-5.5 days.

Conclusions: These results show that ASF transmission is notably different in the Lao smallholder setting compared to commercial settings. The variation in infectious period from previously published data warrants further investigation, and assumptions of homogenous mixing amongst free-ranging smallholder pigs must be treated with caution in future disease spread models.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","c54f9b9d-8dfb-410e-9187-f32dd54c71fc","3c633f59-5da2-4213-a804-5e21f6f27422","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":"nmatsu_epivet","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"nmatsu_epivet","GooglePlusUrl":null,"TwitterHandle":"nmatsu_epivet","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"nmatsu_epivet","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=nmatsu_epivet","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://nmatsu_epivet","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=nmatsu_epivet","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://nmatsu_epivet","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Nina Matsumoto","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemiological simulation model for the swine sector of Switzerland: application to African Swine Fever surveillance evaluation","PresentationBio":null,"Title":"Mr.","FirstName":"Francesco","LastName":"Galli","Position":"PhD student","Organization":"Veterinary Public Health Institute - University Of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Our objective is to develop an evaluation tool for surveillance strategies for swine diseases in Switzerland including African swine fever (ASF), porcine reproductive and respiratory syndrome and enzootic pneumonia. Given the rich data environment of the Swiss swine production sector, we aim to represent existing and prospective surveillance strategies in extensive detail.

Materials and methods
We build a model of disease transmission in the Swiss pig sector that leverages comprehensive or extensive datasets on transportation, veterinarian visits, spatial diffusion and other processes relevant for pig disease transmission. These rich data allow to represent nearly all farms and slaughterhouses involved in pig production between 2014 and 2020. A dataset of estimated wild boar abundance is used to incorporate this key epidemiological reservoir for pathogens.
The model defines farms, slaughterhouses and wildboar units as epidemiological units in which stages of the disease are tracked in homogenous compartments. Pig population data estimated from official farm records allows us to track population variations and account for density dependence of infection. Where data is not comprehensive, we use machine learning prediction tasks to extrapolate transmission pathways to the full pig population.

Results
We provide quantitative performance measures including the mean and variance of outbreak sizes at first detection for diseases. As such, we can compare the effectiveness of various surveillance strategies.
We perform extensive sensitivity analysis taking into account the number of compartments, and the extent of stochasticity in sampling animals for transport, infection and testing.

Conclusion
We argue that simulation models tailored to increasingly richer data environments offer useful guidance for surveillance policy evaluation, especially for emerging diseases such as ASF. The value of such modeling efforts hinges however on a transparent and accessible presentation of assumptions and data uses, as richer data and models can easily be perceived as black boxes.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","3c633f59-5da2-4213-a804-5e21f6f27422","5178adf1-eaeb-4d5b-8fce-b18677488f5a","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Francesco Galli","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4cfaf303-76d6-4130-a3be-afce4d07ac5f","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 3.C - Epidemiologic studies in specific species (Swine)","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-08T15:30:00+00:00","BaseEndDateTime":"2022-08-08T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-08T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T19:30:00.0000000+00:00"},{"Id":"4847fc75-4143-4348-a01d-660157a7a632","SessionBlockId":"4cfaf303-76d6-4130-a3be-afce4d07ac5f","Name":"Breakout Session 3.D - One Health","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatial clusters and temporal behaviour of animal rabies in Ecuador between 2014 and 2019.","PresentationBio":null,"Title":"Dr.","FirstName":"Raul","LastName":"Alegria-Moran","Position":"Associate professor","Organization":"Universidad Santo Tomas","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/98dfa3e0afa647a880ac228dfbc87f0d","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: This study aims to identify temporal trends and spatial patterns of animal rabies in Ecuador between 2014-2019.

Materials and methods: A total of 789 farms with suspected cases of animal rabies were georeferenced during 2014-2019 from the Epidemiological Surveillance System of the Regulatory Agency of Phyto and Zoosanitary Regulation and Control of Ecuador (AGROCALIDAD). A spatial autocorrelation (SA) analysis was performed using Moran’s I index, using the Local Indicators of Spatial Association (LISA) statistics, for provinces, and cantons of Ecuador. SatScan was used to determine the presence of spatial clusters using Bernoulli distribution. Seasonality was determined by time series additive decomposition, autocorrelation, and Ljung-Box test.

Results: A total 406 (48.33%) farms were detected positive to animal rabies. An epidemiological corridor was observed at Amazon region. Statistically significant SA was detected for province and canton level, for both number of positive samples (PS) and positivity rate (PR) (Province-level: Moran’s I = 0.169; 95% CI = 0.103 – 0.234; p = 0.005 for PS and Moran’s I = 0.263; 95% CI = 0.139 – 0.387; p = 0.012 for PR. Canton-level: Moran’s I = 0.300; 95% CI = 0.264 – 0.337; p = 0.001 for PS and Moran’s I = 0.286; 95% CI = 0.244 – 0.328; p = 0.001 for PR). One high-risk significant cluster (RR = 1.90; p < 0.001) was located at provinces of Zamora Chinchipe and Loja (southern part of Ecuador) and two low-risk significant clusters (1: RR = 0.30; p < 0.001; 2: RR = 0.01; p = 0.013) in the west and north-east of Ecuador. Both, animal PS and PR, presents a stable behavior trough time, observing no seasonality.

Conclusion: An epidemiologic corridor was observed on the Amazon region and a significant high-risk cluster at the south of Ecuador, highlighting the importance of frontiers surveillance.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","df5d618c-3702-4d9c-95b6-0ad39c8b6184","1431029c-0cdf-4ff9-912e-8fee50ef8438","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Raul Alegria-Moran","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Value chain analysis of yellow broiler industry in Guangxi, China to inform H7N9 influenza control strategies","PresentationBio":null,"Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Yellow broilers are the primary source of poultry consumption in China and the predominant trade of live poultry. However, knowledge of the value chain is limited, which is vital evidence for the effective control of H7N9 and other zoonotic avian influenzas. The aim of the study was to map the yellow broiler value chain in Guangxi, China and investigate its governance structure and practices relevant to the risk of H7N9 transmission.

A value chain analysis was conducted in five areas of Guangxi from May to August 2018. Three focus group discussions (FGDs), 55 key informant interviews (KIIs) and on-site observations were conducted to collect qualitative data on stakeholders’ profile, practices and interactions with other stakeholders and rules/norms that exist along the value chain. The data were analysed to create stakeholder profiles and a diagram of product flows and stakeholders’ interactions. Thematic analysis was used to identify the governance structure of the value chains and practices relevant to the risk of H7N9 transmission.

The stakeholders and premises involved in Guangxi yellow broiler industry were described. Contract farming is extensively adopted in Guangxi; consequently yellow broiler grower companies are the dominant stakeholders. The trading platform was identified as a key premise linking farms and live bird markets. The thematic analysis highlighted poor biosecurity practices in different premises along the value chain, which was supported by on-site observations. The operation of trading platforms reported in this study presents a disease risk but is not considered in the current H7N9 control programs.

The study suggested that biosecurity management gaps need to be addressed through government-industry partnerships that require engagement with private stakeholders in the planning and implementation of H7N9 control strategies incentivising participation of grower companies, wholesalers and retailers.

Keywords: H7N9 Influenza; Live bird markets; Value chain, Control strategy, China","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["502f57ff-3ea6-475b-858d-340ec3e1c6e4","6d2507a9-e756-4ab4-ae03-e679e391c7e6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mieghan Bruce","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Prevalence of Rabies within community, dog and cat population in Asia: A Systematic Review and Meta-analysis","PresentationBio":null,"Title":"Miss","FirstName":"Tu Tu Zaw","LastName":"Win","Position":"Postdoc","Organization":"City University of Hong Kong","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction:\tRabies is a worldwide zoonotic disease that has been impacted on both animals and humans.
Objectives:\tThis study was conducted to identify the prevalence of rabies in humans, dogs, and cats in Asia and to compare the significant factors affecting the heterogenicity of prevalence among countries in Asia.
Materials and methods:\tIn this study, we performed a systematic review and meta-analysis statistical approach. In this study, we performed a literature search by using the domains “Prevalence AND rabies AND dogs OR cats OR human” in Scopus, PubMed, Web of Science. Out of 2615 articles, the duplicated articles (n=1501) and the articles not in line with our inclusion criteria were excluded and a total of 8 papers for cat data, 28 papers for dog data, and 20 papers for human data were used for further data analysis.
Results:\t\tOverall mean estimated prevalence of the human rabies in Asia was 15.82% (95% CI: 11.35-20.84) with high range of heterogeneity I2 with 99.96%, p-value of <0.001 while the prevalence in dog was 25.56% (15.52-39.26) with heterogeneity I2 with 99.92% (p =<0.001) and the prevalence in cat was 5.79% (0.00-23.87) with heterogeneity I2 with 99.25% (p =<0.001). Data were extracted from the studies conducted in 14 countries. From the data extracted for different countries, the highest prevalence of submitted high-risk group human samples was noted in Sri Lanka with 65.19% (39.66-86.95) which is consistent with the high prevalence of dog (66.14%, 65.23-67.04) and cat (31.35%, 29.33-33.43) rabies in Sri Lanka. The highest prevalence of dogs was noted in Bangladesh (88.98% of submitted samples).
Conclusion:\tRabies is a life-threatening zoonotic disease for both animals and humans. The finding in this study would be helpful in the identification of the high-risk area to implement efficient and effective control strategies in Asia.

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Panel discussion on the opportunities and boundaries of systems approaches – from theoretical foundations to practical applications.

\r\nDr. Kevin Queenan, Scientist, Royal Veterinary College, London, United Kingdom: Qualitative System Dynamics modelling to study health, nutrition and environmental outcomes of the broiler meat system in South Africa
\r\nDr. Barbara Alessandrini, Head of Capacity-building Department, World Organisation for Animal Health (WOAH): Supporting veterinary services for capacity in One Health systems making use of their particular strengths
\r\nDr. Javed Gondal, Programme Manager, Brooke Pakistan: Enabling stakeholders throughout the health care system to support primary equine care
\r\nDr. Michel Dione, Senior scientist – Animal Health, Animal and Human Health Program, International Livestock Research Institute: Expanding the Community-Led Total Sanitation model to include animal management: a case study of One Health research and programs in Mali
\r\nDr. Erika Alandia Robles, MSc DVM, Teko Kavi Foundation – Bolivia: Community of Practice for local community One Health capacity building.

\r\n15:50 - 16:20
\r\nDiscussion

\r\n16:20 - 16:30
\r\nClosing","Overview":"Chairs: Klara Saville & Barbara Haesler","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"System dynamic modelling to study health, nutrition and environmental outcomes of the broiler meat system in South Africa","PresentationBio":null,"Title":"Mr.","FirstName":"Kevin","LastName":"Queenan","Position":"Research Associate","Organization":"Royal Veterinary 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Capacity Building Department","Organization":"World Organisation for Animal Health","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2917bde6d06f4a3e8e5fc7f16c75598e","IsPresentingAuthor":false,"Order":2,"Documents":[],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Barbara Alessandrini","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Enabling stakeholders throughout the health care system to support primary equine care.","PresentationBio":"\r\n\r\n\r\n\r\n","Title":"Miss","FirstName":"Klara","LastName":"Saville","Position":"Head Of Global Animal Health","Organization":"Brooke","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Klara Saville","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Expanding the Community-Led Total Sanitation model to 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Dione","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Promoting participatory research and the One Health approach to improve health in rural communities from the Bolivian Amazon","PresentationBio":null,"Title":"Miss","FirstName":"Erika","LastName":"Alandia Robles","Position":"Projects Coordinator","Organization":"Teko Kavi 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Robles","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"37900a0f-28bf-4055-9139-9e6300423525","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"3_Special Session Part 2: Systems Approaches to Promote Better Health for Animals, People and Ecosystems
Chairs: Klara Saville & Barbara Haesler","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-08T15:30:00+00:00","BaseEndDateTime":"2022-08-08T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-08T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T19:30:00.0000000+00:00"},{"Id":"a8914baf-35d0-4b53-9a0e-b4a8e9182c17","SessionBlockId":"4cfaf303-76d6-4130-a3be-afce4d07ac5f","Name":"Breakout Session 3.A - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A Bayesian latent class model for estimating diagnostic test accuracy when comparing two imperfect tests administered at different time and measuring a time-varying health event","PresentationBio":null,"Title":"Prof.","FirstName":"Simon","LastName":"Dufour","Position":"Professor of Epidemiology","Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d3ee2fa6d59643c5b4ed612dfa232366","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Bayesian latent class model (LCM) are now considered as a reference method for estimating diagnostic accuracy when imperfect tests are compared. However, they do have to meet various assumptions, including that both tests are applied at the same time or that the individual status cannot change between administration of the two tests. However, in the race for developing diagnostic tests that can classify the health status of individuals earlier and earlier, the only option left is often to compare this new “early detection” test to another imperfect reference test conducted at a later time. In such case, not considering the potential change in health status between tests could lead to biased accuracy and disease prevalence estimates.
To circumvent this issue, we proposed a LCM derived from the classical Hui and Walter LCM, but that explicitly consider a potential change in health status between tests. The model is illustrated in Figure 1. Briefly, in this LCM the 4 possible combinations of test results (Ta+ Tb+, Ta+ Tb-, Ta- Tb+, and Ta- Tb-) are modelled as function of: 1) the true probability of the health event (Pd); 2) the first and second test sensitivities (Sea and Seb) and specificities (Spa and Spb); but also 3) the probability of “cure” (Pc) or of acquisition (Pi) of the health event between tests. We provide an example of application of this LCM to a study investigating early pregnancy detection in dairy cattle, in which a substantial probability of pregnancy loss is expected between tests.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/11e5a1bb3d2c4bb48edbcef3eafb9a9d","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Simon Dufour","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Sources of variance in the results of a commercial bovine immunoglobulin G radial immunodiffusion assay","PresentationBio":null,"Title":"Ms.","FirstName":"Alexis","LastName":"Thompson","Position":null,"Organization":"Mississippi State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"IgG concentration in neonatal beef or dairy calves is quantified with radial immunodiffusion and is associated with increased pre-weaning morbidity and mortality. The study objective was to determine the source and magnitude of variance in the results of a commercial bovine IgG radial immunodiffusion assay.

Six calf sera were measured 28 times across 8 plates and 4 lots and 3 included standards with known IgG concentrations were measured 75 times across 69 plates and 5 lots to estimate the precipitin ring diameter variance. Sources of diameter variance were evaluated using variance partition coefficients for lot, plate, and repetition. Eleven methods were used to generate standard curves to convert the radial immunodiffusion precipitin ring diameter to IgG concentrations. The magnitude of variance between the standards or serum precipitin ring diameters and the calculated IgG concentrations was evaluated by Levene’s test of homogeneity of variance (α=0.1).

Lot and plate contributed minimally to the diameter variance. IgG concentrations calculated for serum samples that required dilution had unequal variance. Accurate and precise IgG concentrations came from linear and polynomial lines from aggregated standards. The equation that maximized the precision and accuracy of the calculated IgG concentrations of the standards and the precision of the calculated IgG concentrations of the serum was a linear equation from aggregated standards performed within the same day.

Serum with precipitin ring diameters greater than the highest standard lacked precision and may limit the clinical usefulness of the assay.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Alexis Thompson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Is there any diagnostic value in running the same binary test twice?","PresentationBio":null,"Title":"Dr.","FirstName":"Charles","LastName":"Caraguel","Position":"Associate Professor","Organization":"The University of Adelaide","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f84e650d91c14a8b846454c15a3314ca","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1.Objective(s). In practice, it is tempting to rerun a test to increase our confidence on a test result. However, runs from a same test are likely (unconditionally) dependent and may not guarantee a gain in diagnostic accuracy. The impact of test dependence can be difficult to predict as it mixes both test accuracy and precision. We aimed at exploring the probabilistic benefits of rerunning a test to provide guidance to test operators.

2.Materials and Methods. We reconstructed contingency tables for cases and non-cases between two runs of a same binary test using set diagnostic sensitivity (DSe) and specificity (DSp) and incremental fractions of the minimum and maximum conditional dependences. We assessed the diagnostic gain of rerunning a test by comparing the likelihood ratio of a single run result with the likelihood ratio of two-run results.

3.Results. Runs of a perfect test (DSe=DSp=100%) could not be conditionally dependent. For other tests, conditional dependences were most likely positive except when DSe or DSp=50% where negative and positive dependencies were equally likely. A meaningful diagnostic gain occurred when two positive runs were poorly or negatively correlated conditional on non-cases (DSp correlation) or two negative runs conditional on cases (DSe correlation). Reruns with perfect positive correlations (perfect repeatability) provided no diagnostic gain while perfect negative correlations (poorest repeatability) provided the best gain. When both runs disagreed, a gain was very unlikely and unpredictable.

4.Conclusion. There is no diagnostic gain in rerunning a perfectly accurate or repeatable test. Only imperfect and poorly repeatable tests may gain diagnostic value under the unlikely scenario where both runs agree. More likely, discordant runs would decrease test users’ confidence. Therefore, unless the first run was faulty, there is little benefit in rerunning a same test twice.

Keywords: diagnostic test, binary, correlation, sensitivity, specificity.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Charles Caraguel","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4cfaf303-76d6-4130-a3be-afce4d07ac5f","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 3.A - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-08T15:30:00+00:00","BaseEndDateTime":"2022-08-08T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-08T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T19:30:00.0000000+00:00"},{"Id":"d7d26eb7-65b0-4ca0-968f-d5d73c8f2d1e","SessionBlockId":"4cfaf303-76d6-4130-a3be-afce4d07ac5f","Name":"Breakout Session 3.E - Global Health Security","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Enhancing the Evidence for Utilizing a One Health Approach in Humanitarian Responses","PresentationBio":null,"Title":"Dr.","FirstName":"Leslie","LastName":"Brooks","Position":"","Organization":"AAAS Science & Technology Policy Fellowship","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ed10673c6f8f47d4875c793642c97dd0","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"One Health approaches integrate support for environmental, animal, and human health. The objective of this research is to identify gaps and weaknesses in humanitarian One Health understanding and opportunities to integrate One Health practices into humanitarian interventions to optimize health outcomes across the three sectors.

This research explores the level of One Health understanding and practice amongst humanitarian actors using a multi-methods approach, including a meta-analysis of peer-reviewed and grey literature, review of past five years of the US Agency for International Development’s (USAID) Bureau for Humanitarian Assistance awards, survey of humanitarian organizations, Key Informant Interviews and Focus Group Discussions with humanitarian organizations and the One Health research and development community, and three to four humanitarian One Health project case studies with USAID implementing partners.

To date, the literature search has revealed just a few examples of One Health related interventions used in humanitarian assistance. In one publication the authors investigated outbreaks of zoonoses in the aftermath of earthquakes in areas reliant on livestock production, highlighting the value of addressing animal health needs during a disaster to decrease public health impacts. A Humane Society After Action Report from their response to the 2015 Nepal earthquake demonstrates organizations responding to the needs of animals but not coordinating holistically with the public health sector. There is evidence from USAID’s awards of the integration of relevant sectors. For example, in response to drought one partner improved household nutrition by distributing livestock feed to boost milk production, while another trained Community Animal Health Workers to teach herders in remote cattle camps water sanitation and hygiene methods to mitigate a cholera outbreak.

This research is on-going. The end result will be used to build One Health tools for the humanitarian community, including a One Health framework for planning and implementing humanitarian responses.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","9f2295d7-194f-44de-9cea-8eb77d958e64","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Leslie Brooks","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Horizon Scanning of Major Data Aggregation Initiatives as Input for the Global Burden of Animal Diseases (GBADs)","PresentationBio":null,"Title":"Mr.","FirstName":"David","LastName":"McIver","Position":null,"Organization":"University of California","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives:
The Global Burden for Animal Diseases (GBADs) program was created to integrate public and private datasets into a systematic and transparent process of measuring the economic, social, and environmental burden of animal diseases in a way that can be applied by decision and policymakers. As part of the design and build of the knowledge engine that will provide the data platform for GBADs, a “horizon scanning” initiative is being undertaken to record and synthesize best practices and potential roadblocks and solutions related to the planning, development, and maintenance of aggregated data projects - a common challenge for One Health initiatives.

Materials and Methods:
The horizon scanning initiative will explore several successful existing models of large-scale data aggregation and sharing platforms. Following detailed interviews and questionnaires with these organizations, a combination of thematic analysis and qualitative analysis will be used to glean insights into the methods, tools, and design thinking implemented by programs toward a successful platform.

Results:
Results, projected to be available by July 2022, will describe issues with organizational structure, data sharing and ingestion, data visualization and reporting, and data storage and security. This narrative will describe critical features for success, common obstacles, and how to move from a short-term project to a stably funded, self-perpetuating tool or program.

Conclusion:
The results and conclusions of this work will aid in the successful development and launching of the GBADs knowledge engine, which will in turn enable the program to support evidence-based and equitable economic decisions that improve resource allocation and impact measurement of animal diseases across the world. Results will advance the common knowledge on methods that may be reported infrequently in the literature and increase access to such knowledge to benefit similar current and future One Health initiatives.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","cb344d68-5710-46be-a916-dd122f96ab66","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. David McIver","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Advancing Global One Health Intelligence","PresentationBio":null,"Title":"Mr.","FirstName":"Karl","LastName":"Schenkel","Position":"Epidemiologist","Organization":"World Health Organization","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f8fcee02417f4240aeeaed69637bde8f","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The One Health Intelligence (OHI) Scoping Study is a collaborative effort of the ‘Tripartite and UNEP’ (Tripartite+) alliance of the Food and Agricultural Organisation of the United Nations (FAO), World Health Organisation (WHO), the World Organisation of Animal Health (OIE) and the United Nations Environment Programme (UNEP). The study is developing a high-level framework and system design prioritising equitable and effective information sharing between study partners and also to advise the One Health High Level Expert Panel (OHHLEP).

Materials and methods
A structured scoping of existing information sharing mechanisms and systems at the Tripartite+ level was conducted to identify functions, synergies, limitations and opportunities for better collaboration and interoperability. The study builds from a series of activities to build a credible evidence base for future action. The framework design work was supplemented by a literature review and engagement with external experts, including the OHHLEP.

Results
At the Tripartite+ level, a wide variety of existing information systems and intelligence sources from multiple sectors was identified. Of those, to date only few are linked for the purpose of multisectoral early detection and risk assessment. Results of a literature review are being analysed.

Conclusion
To date, notable gaps exist with regard to multisectoral information sharing and interoperability of existing OHI systems. A huge variety of intelligence sources from multiple sectors is available but remains largely disconnected. More insight is needed to determine countries’ needs, best practices, and barriers for multisectoral information sharing at the global level. The Tripartite+ is in a unique position to advance global OHI, through linking their efforts and data in the human, animal and environmental health sectors.

Key words: One Health, One Health Intelligence, multisectoral information sharing, Tripartite+","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Karl Schenkel","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimating the force of infection for Crimean-Congo haemorrhagic fever virus in sheep farms and the impact of vaccination and other control measures","PresentationBio":null,"Title":"Dr.","FirstName":"Georgina","LastName":"Limon","Position":"","Organization":"The Pirbright Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Crimean-Congo Haemorrhagic Fever virus (CCHFV) is a tick-borne virus which causes a high case fatality in humans and is a WHO priority emerging disease. Livestock infection is asymptomatic but plays a crucial role in transmission of the virus.

We conducted a multisite two-armed randomised control trial to assess the force of infection (FOI) and vaccine efficacy (VE) of a Modified Vaccinia virus Ankara, encoding the envelope glycoprotein (Gp) of CCHFV. The study involved 640 lambs from 36 sheep farms located in a high-risk area in Bulgaria. Lambs received a prime and boost vaccination one month apart and were followed-up for six months during a period of expected high level of transmission. Serum samples collected were tested using anti-CCHFV NP specific IgG ELISA.

FOI and VE were estimated in a Bayesian framework. Both constant and time varying FOIs were considered. Two models were considered for VE: one in which it was common to all farms; and one in which it varied amongst farms. Different models for the FOI and VE were compared using the deviance information criterion.

There was strong evidence that the FOI varies amongst farms and over time, peaking between end of June and beginning of August (study weeks 17-21). VE varied amongst farms and had a limited impact on the FOI in most farms. The posterior median VE was >0 for 16 farms (median: 42.7%; range: 2.8%-77.1%). Looking at other control measures, there was evidence that tick control or spraying sheds had an impact on decreasing FOI with heterogeneity amongst farms.

Result from this study provide novel information on CCHF dynamics in sheep farms and can inform targeted interventions in the study area. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","43b008b2-8eab-460a-b708-b149b223981a","c54f9b9d-8dfb-410e-9187-f32dd54c71fc"],"SocialMedia":{"_twitterHandle":"g_limonv","_facebookUrl":"","_linkedInUrl":"uk.linkedin.com/in/georgina-limon-32b3ab40","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"g_limonv","FacebookUrl":"","LinkedInUrl":"uk.linkedin.com/in/georgina-limon-32b3ab40","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=g_limonv","FullFacebookUrl":"","FullLinkedInUrl":"http://uk.linkedin.com/in/georgina-limon-32b3ab40","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=g_limonv","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://uk.linkedin.com/in/georgina-limon-32b3ab40","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Georgina Limon","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"cd732c4c-1759-4218-b282-efa91cf49a23","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-08T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4cfaf303-76d6-4130-a3be-afce4d07ac5f","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 3.E - Global Health Security","DateString":"Monday, August 8, 2022","ShortDateString":"Mon Aug 08, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-08T15:30:00+00:00","BaseEndDateTime":"2022-08-08T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-08T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-08T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-08T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-08T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-08T19:30:00.0000000+00:00"},{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","SessionBlockId":null,"Name":"Poster Session Monday","IsSession":true,"ShowTimes":true,"Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","StartTimeOverride":"16:30:00","EndTimeOverride":"17:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#DF2D46","Location":"Halifax Convention Centre │Ballroom B1","Track":null,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A Multi-Vocal Review: Characterization of Food Safety Trainings across LMICs and influence on intervention efficacy ","PresentationBio":null,"Title":"Ms.","FirstName":"Himadri","LastName":"Pal","Position":"Phd Student","Organization":"University of Greenwich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"A Multi-Vocal Review: Characterization of Food Safety Trainings across LMICs and influence on intervention efficacy
H. Pal, J. Bettridge, F. Mutua, D. Grace

ABSTRACT

OBJECTIVES
Food Safety Education can improve hygiene practices in wet markets, and hence help reduce foodborne disease burden. A variety of training techniques have been reported in LMICs in the past decade. This study aimed to identify associations between reported efficacy of a training intervention and training design, including materials used, to identify the most effective and sustainable training strategies.

MATERIALS & METHODS
A systematic approach was taken to search relevant academic and grey literature including NGO reports. Authors of selected studies were requested to provide access to educational materials used. Data on intervention design, content covered, trainers and outcome of the intervention were extracted and analysed for associations.

RESULTS
A total of 23 authors provided access to the educational materials (out of 48 contacted). Most training charts and booklets contained a combination of images and texts. All materials had a satisfactory image-to-text ratio of ≥0.02. The readability of training material ranged from ‘fairly easy’ to read to ‘fairly difficult’ to read. Efficacy assessment in more than 80% of the studies was solely based on KAP parameters as opposed to biological or clinical findings. The interval between the training and assessment of efficacy was highly variable, which presented a challenge in determining the comparable efficacy of interventions.

CONCLUSION
Recent food safety educational interventions have been developed for application in highly variable contexts and generally tailored to the intended audience. A guiding framework for efficacy and sustainability assessment of trainings conducted in informal markets would help identify best practices and understand how these vary with geographies, culture and digital literacy.

Keywords: training, education, food safety, traditional markets, food borne diseases

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Himadri Pal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Changes in the susceptibility of Mannheimia haemolytica isolates to macrolide antimicrobials after metaphylactic tulathromycin use in feedlot calves","PresentationBio":null,"Title":"Ms.","FirstName":"Jennifer","LastName":"Abi Younes","Position":"PhD Student","Organization":"Western College Of Veterinary Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives

Cattle at high-risk for bovine respiratory disease on entry to western Canadian feedlots are often treated metaphylactically with macrolide class antimicrobials. The objective of this work was to describe near-term (<40 days on feed (DOF)) changes in the recovery and susceptibility of Mannheimia haemolytica isolates from healthy feedlot calves after metaphylactic exposure to tulathromycin.

Materials and methods

Recently weaned steers of various beef breeds were sourced from a local auction market and shipped to a research feedlot. Eight cohorts of 100 calves (n=800) were sampled via deep nasopharyngeal swab at entry processing (i.e., prior to metaphylaxis, at 1 DOF) and again at 13 DOF. Ten calves from each cohort (n=80) were randomly sampled a third time at 36 DOF. Samples were submitted to Prairie Diagnostic Services, Inc. for bacterial culture and susceptibility testing.

Results

The recovery of M. haemolytica isolates across all cohorts increased over the study period, from 33% (26.5 – 40.2%) at 1 DOF to 75% (71.4 – 78.3%) at 36 DOF. A significant shift in the minimum inhibitory concentration (MIC) distribution of tulathromycin from 1 DOF (MIC90 < 8 µg/mL) to 13 DOF (MIC90 > 64 µg/mL) was observed. This trend was present to a lesser extent for tilmicosin, and is captured by the unimodal shift from 1 DOF (MIC50 = 4 µg/mL) to 13 DOF (MIC50 = 16 µg/mL). A subset of 36 isolates from 13 DOF screened for macrolide resistance genes via multiplex polymerase chain reaction all harboured the msrE and mphE genes.

Conclusion

Metaphylactic tulathromycin did not appear to inhibit the recovery of M. haemolytica at 13 or 36 DOF. Conversely, these data suggest the potential for rapid inter-pen spread of a macrolide-resistant clone by 13 DOF in six of eight cohorts under selective pressure from antimicrobial use.

Keywords
feedlot, metaphylaxis, AMU, AMR","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","43f42602-f380-4a8a-9da3-ce05b383dc09","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Jennifer Abi Younes","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Systematic review of the effectiveness of pharmaceutical interventions on cow-calf operations to treat or control gastrointestinal nematodes in pre-weaned beef calves","PresentationBio":null,"Title":"Dr.","FirstName":"Samuel","LastName":"Agbese","Position":"Msc student","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/339f5babcdd245678e4032316a09774f","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background: Cattle producers currently rely almost exclusively on the use of pharmaceutical interventions to control parasites, largely because of their remarkable efficacy, safety, spectrum of activity, and relatively low cost. However, there is a need for summarized information on the current scientific knowledge on their effectiveness as measured by a reduction in fecal egg count.

Objective: To identify, evaluate, and synthesize the primary literature on the effectiveness of pharmaceutical interventions used in pre-weaned beef calves to control or treat gastrointestinal nematodes (GIN).

Materials and Methods: A systematic literature search was conducted in Medline on the Ovid platform, Web of Science Core Collection, CAB Abstracts on the Ebsco platform, Scopus, and ProQuest Dissertations. Titles and abstracts of articles were checked for relevance using a set of inclusion criteria, the full text of those articles was read, and eligible articles were retained in the final review. Information on publication details, study design, population of animals (i.e., pre-weaned beef calves), population characteristics, pharmaceutical intervention (i.e., product, route, dosage), and outcome of interest (i.e., GIN genera, fecal egg counts) was extracted.

Results: Initial screening was composed of 1654 publications. After title and abstract screening, 123 articles were deemed relevant for full publication review. Of these, 91 were excluded for the following reasons: wrong population of interest (n=57), age of population of interest undefined (n=10), wrong outcome of interest (n=1), no pharmaceutical intervention of interest (n=1), full text in English not available (n=19), and use of an experimental infection (n=3). This resulted in a total of 32 studies retained for data extraction and risk of bias assessment.

Conclusions: The results of this study will provide information to help veterinarians and producers make evidence-based decisions to improve GIN control by more effectively using pharmaceutical interventions.

Keywords: literature review, anthelmintics, parasites, fecal egg counts, beef calves
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Samuel Agbese","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Reporting diagnostic and contact data – example from a maedi outbreak in Norway","PresentationBio":null,"Title":"Dr.","FirstName":"Johan","LastName":"Åkerstedt","Position":"Senior researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The Norwegian Veterinary Institute is the national diagnostic laboratory, and has an advisory role in cases of disease outbreaks in animals. NVI also supports outbreak teams with epidemiological data by producing outbreak reports. The information should be: a) timely, b) complete, and c) accurate. To meet this need, we developed a system for automated outbreak reporting and utilized it during an outbreak of maedi in Trøndelag, Norway in 2019.
Materials and methods: We gathered population data, contact and movement data, and test results from various sources. After cleaning the data, we combined them to produce descriptive statistics and analyses. We performed all data management and analyses in R, with version control on GitHub. The code was designed to be modular so that different modules can be called depending on the needs for different outbreaks. Automatic running of the report was set up using Scheduler in Windows.
Results: Since 2018, this platform has been used to develop six different outbreak reports for terrestrial animals. The outbreak report for maedi contains an overview of the current situation and its development, maps and contact networks, as well as lists of farms, either contacts with aggregated information, or farms to monitor in an outbreak zone. The outbreak report is also a source of data for research activities.
Conclusion: The outbreak reports have the advantage of giving all recipients the same information. They generate data that various actors cannot produce by themselves, or that need lot of resources. Close contact with the outbreak investigation team ensures continual feedback and it is easy to change or add new features. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["978aef2c-117a-4e1c-b105-03f159c579de","7d91534a-2f2b-447f-830f-6178f301b1a3"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Johan Åkerstedt","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk factor analysis of animal rabies in Ecuador between 2014 and 2019.","PresentationBio":null,"Title":"Dr.","FirstName":"Raul","LastName":"Alegria-Moran","Position":"Associate professor","Organization":"Universidad Santo Tomas","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/98dfa3e0afa647a880ac228dfbc87f0d","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: This study aims to identify risk factors for positivity to animal rabies in Ecuador between 2014-2019.

Material and methods: A total of 789 farms with suspected of animal-rabies were recorded during 2014-2019 from the Epidemiological Surveillance System of the Regulatory Agency of Phyto and Zoosanitary Regulation and Control of Ecuador (AGROCALIDAD). Province, animal species, topographic and bio-climatic variables, among other variables were registered. Descriptive statistic was performed to characterize animal-rabies occurrence in Ecuador. A logistic multivariable regression model was performed to determine risk factors, variables with a p-value ≤ 0.15 were selected for the multivariable model. Lowest log Likelihood Ratio Test (LRT) model was selected as final model, using a backward elimination procedure removing variables with non-significant coefficients (P > 0.05). Goodness-of-fit was assessed using the Hosmer and Lemeshow Test (HLT).

Results: All the provincial territories of the Amazon region and the provinces of Esmeraldas and Loja, in the Costa and Highlands region stand out, the Amazon region reveals the highest positivity rate (50.17%), concentrating over 70% of the positive samples. Age decreases the risk of being positive to rabies (OR = 0.983; 95% CI = 0.973 – 0.993; p = 0.001), higher number of animals within the farm, decrease the risk of animal rabies (OR = 0.995; 95% CI = 0.992 – 0.999; p = 0.011), vaccination increase the risk of animal rabies (OR = 559.149; 95% CI = 57.098 – 5475.651; p < 0.001). Animals kept under farms with an occupation other than just animal breeding, when vaccinated against rabies, present a lower risk of being positive to rabies (OR = 0.010; 95% CI = 0.001 – 0.332; p = 0.010).

Conclusion: Older animals and mixed land use have lower risk of positivity to animal rabies. Vaccine has a controversial result that require further analysis. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","1431029c-0cdf-4ff9-912e-8fee50ef8438","df5d618c-3702-4d9c-95b6-0ad39c8b6184","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Raul Alegria-Moran","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Safe Food Fair Food: A One Health project to improve food safety in Cambodia","PresentationBio":null,"Title":"Mr.","FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/74bccc4b9d3746a7a87827e3adb83e18","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The Safe Food Fair Food for Cambodia project was implemented by the International Livestock Research Institute in partnership with Cambodian and international partners. The project aimed to reduce the burden of foodborne disease in traditional markets.

Materials and methods: The project conducted the market survey, modelling analysis, risk profiling, intervention using a One Health approach and focusing on pork and poultry value chains and two key pathogens: Salmonella spp. and Staphylococcus aureus. The project conducted activities in traditional markets in 25 provinces across the country.

Results: The overall prevalence of Salmonella and S. aureus in 496 samples pork and chicken was found to be 43-45% and 29-38%, respectively. These findings show foodborne disease is a major public health issue in Cambodia. A cost-of-illness assessment used data from 266 cases of foodborne illness in Phnom Penh and Siem Reap collected from hospitals show that the cost of foodborne illness was US$ 63 per case. Quantitative microbial risk assessment estimated the risk of acquiring salmonellosis after consuming contaminated pork and chicken salad show that annual incidence rates of salmonellosis estimated from consuming chicken salad, pork salad and mixtures of chicken and pork salads were found to be 11%, 4% and 15%, respectively. A Randomized Controlled Trial intervention to improve food safety that included provision of equipment (US$ 20 per retailer) and training of pork sellers on good hygiene practices using the project’s handbook of five key actions was implemented. Intervention significantly reduced Salmonella prevalence in the trial group.

Conclusion: The project generated new evidence on health and economic burden of foodborne diseases in Cambodia and piloted low-cost interventions that improved food safety in traditional markets. We recommended to scale up this intervention to improve food safety in Cambodia.

Keywords: Food safety, informal markets, foodborne disease, intervention","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"[email protected]","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"[email protected]","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"http://[email protected]","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://[email protected]","Font":"fab fa-facebook-square","Color":"#3b5998"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Fred Unger","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Associations between biosecurity and neonatal calf mortality in Denmark based on questionnaire data and Multiple Correspondence Analysis","PresentationBio":null,"Title":"Dr.","FirstName":"Mogens","LastName":"Krogh","Position":"Researcher","Organization":"Aarhus University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Questionnaires regarding management procedures and biosecurity measures can help identify factors that potentially affect calf mortality in dairy herds. However, the large number of questions and complex interrelations between questions make risk factor analysis difficult. The objective of this study was to associated risk factors from a questionnaire on biosecurity to neonatal calf mortality.
Materials and methods: 77 dairy farmers that delivered bull calves to intensified slaughter calf production systems, completed the online BioSecure questionnaire. The BioSecure questionnaire contains 13 sections of questions, where each section is related to a specific area of biosecurity and/or calf management. In total, BioSecure consists of 180 questions, with sub-questions and paths that could redirect the farmer to a specific subset of questions. The BioSecure questionnaire could be completed by the farmers in approximately 45 min. A Multiple Correspondence Analysis (MCA) was done on answers of potential relevance to neonatal calf mortality to reduce the response from the questionnaires to fewer dimensions of inter-correlated variables. MCA was performed on 107 BioSecure questions/sub-questions after initial restructuring/grouping of answers. One-year neonatal calf mortality as deaths within the first 14 days of life was found from production records for each of the herds. The dimensions from the MCA were used as predictive variables in logistic regression analysis of neonatal calf mortality.
Results: Dimension 1 from the MCA was significantly associated neonatal calf mortality (p<0.001). Dimension 1 is characterized by the answers of 6 questions related to colostrum management and managing the risk of disease transmission, where the procedures by the herds with high values of Dimension 1 is characterized as lack of specific control measures.
Conclusions: Applying MCA on questionnaire data is promising for characterising patterns in answers that can be associated with production outcomes such as neonatal mortality.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mogens Krogh","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Data-driven estimation of foodborne disease incidence in Ethiopia","PresentationBio":null,"Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/237ad80304a445dfbf4773d8e5455fa9","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Surveillance of foodborne disease (FBD) remains a challenge worldwide. Available incidence estimates are based on secondary data and expert opinion and suffer from considerable uncertainty, particularly in low- and middle-income countries where the burden of unsafe foods is higher. Accurate estimates of incidence are crucial for efficient allocation of public health resources. We designed an epidemiological framework for the estimation of FBD incidence using primary data and Ethiopia as a pilot country.
Materials and methods
Laboratory, healthcare facility and community cross-sectional surveys were conducted simultaneously in three sites in Ethiopia. Faecal samples from diarrheal patients submitted to three clinical laboratories were tested for selected foodborne pathogens and rates of laboratory confirmed cases were estimated. Data from healthcare facilities on incidence of diarrhea among patients and referral practices; and the community on incidence of diarrhea and healthcare seeking practices were used to adjust incidence rates for under-diagnosis and under-testing.
Results
Between October 2021 and January 2022, 567 faecal samples were submitted; 0.8%, 13.1% and 3.7% were presumptive positive for non-typhoidal Salmonella, shiga toxin-producing Escherichia coli (STEC) and Campylobacter, respectively. Two percent (n=3,960) of individuals in the community had experienced diarrhea in the past 4 weeks, 60% of which sought healthcare, with men more likely to seek healthcare compared to women. Preliminary estimates suggest incidence of Campylobacter and STEC is significantly higher than non-typhoidal Salmonella. Pathogen-specific incidence varies greatly across regions.
Conclusion
Campylobacter and STEC are commonly present in diarrhea stools and their role in FBD may be larger in Ethiopia than previously believed. Results suggest that diarrhea stool screening in laboratories, currently restricted to few pathogens, is likely to provide a biased picture of the principal causes of FBD and should be expanded to include other important but currently overlooked foodborne pathogens.
Keywords: foodborne disease, incidence, Ethiopia, diarrhea","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","e38fdbff-06ce-4925-a92e-8faaaf3278a6","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Silvia Alonso","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Systematic literature review of foodborne disease hazards and burden in Ethiopia (1990-2019)","PresentationBio":null,"Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/237ad80304a445dfbf4773d8e5455fa9","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): To summarize literature on foodborne hazards and their associated burden in Ethiopia, identify research gaps and intervention targets.

Materials and methods: A systematic literature review was performed according to Cochrane and PRISMA guidelines. Searches were performed on PubMed and CAB Direct for relevant publications between 1990 and 2019 (inclusive). Observational studies, secondary data analyses, reviews and grey literature were included. Titles and abstracts were screened, and selected publications reviewed in full for quality and data extraction. A metanalysis was not conducted as studies were varied in focus with few similar studies estimating the same parameter.

Results: In total 142 articles met the inclusion criteria. Most studies focused on identification and prevalence of biological and chemical hazards in food. High levels of microbial contamination in different food value chains were often found by the typically small, ad hoc, observational studies. Dairy products, beef, poultry, and eggs were the most commonly studied food products. Raw beef and raw milk were the products reporting higher levels of pathogen contamination. Presence of Listeria monocytogenes, a serious but often overlooked foodborne pathogen, was reported in various foods.
Several important value chains were less frequently studied including vegetables, fruits, crops, fish, sheep, goats, and camel. There were few reports of incidence of human FBD or resulting health and economic impacts. High levels of bacterial contamination on the hands of food processors were widely reported. Foodborne parasites were often found at higher prevalences in food than bacterial and viral pathogens, possibly due to differences in ease of identification.

Conclusion: There are fundamental gaps in the knowledge of food hazards in Ethiopia, particularly regarding FBD incidence and impact. Furthermore, important value chains and pathogens have been neglected. Greater investment in food safety is needed, with enhanced and coordinated research.

Keywords: Foodborne diseases, Value chains, hazards, burden, Ethiopia.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","7d91534a-2f2b-447f-830f-6178f301b1a3","6d2507a9-e756-4ab4-ae03-e679e391c7e6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Silvia Alonso","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A metapopulation model for preventing the reintroduction of bovine viral diarrhea virus to naive herds: Scotland case study","PresentationBio":null,"Title":"Miss","FirstName":"Gavrila Amadea","LastName":"Puspitarani","Position":"PhD student","Organization":"Veterinary Medicine University Vienna","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7424053cc0fb4630b735d772f396da63","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Bovine viral diarrhea (BVD) virus is one of the most problematic infectious pathogens for cattle. Since 2013, a mandatory BVD eradication program has successfully reduced the number of infected cattle living on Scottish farms; however, England remains at high prevalence and presents a risk to Scotland through animal movement.

Methods: We analyze cattle movements in the UK from 2008 to 2017 and recorded the incidence of BVD in Scotland from 2017 to 2020. To simulate BVD reintroduction to Scotland we developed an epidemiological model that combines transmission between cattle and animal movements between farms. Four control strategies were implemented in the model: no intervention, import restriction, targeted vaccination, and a combined strategy.

Result: During the course of the eradication scheme movements into Scotland became increasingly distributed in regions close to the England-Scotland border. The prevalence of BVD in this region was less affected by the eradication scheme. Our modelling showed that the change in prevalence is expected given the change in the patterns of movement and if vaccination is targeted to the border areas decreases in prevalence will be seen throughout the whole of Scotland.

Conclusion: Scottish farms are susceptible to BVD virus reintroduction through animal imports from non-BVD-free nations with farms in border areas being the most vulnerable. Protecting the border region provides direct and indirect protection to the rest of Scottish farms by blocking sustained chains of transmission.

Key words: metapopulation model, bovine viral diarrhea, prevention strategies, animal movements, Scotland, endemic livestock diseases. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c901ec5-8189-459e-b859-afcfb8a96f9b","5178adf1-eaeb-4d5b-8fce-b18677488f5a","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Gavrila Amadea Puspitarani","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Knowledge, Attitude and Practices (KAP) survey on veterinary drug prescription","PresentationBio":null,"Title":"Dr.","FirstName":"Muhammad Usman","LastName":"Zaheer","Position":"Surveillance Lead","Organization":"Health Security Partners","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f9a65100ab4a493dbf6397648bf9a3ca","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Antimicrobial resistance (AMR) is an emerging public health issue. However, despite the growing recognition of the urgency of tackling AMR, there is limited data available about the attitudes of veterinarians towards AMR and AMU in Pakistan. Therefore, this study aims to explore the knowledge, attitude and practices of the veterinarians and factors influencing their behaviors regarding AMU and AMR.


A cross-sectional KAP survey was conducted in all provinces and administrative territories of Pakistan from 28th June to 15th September 2021. Systematically representative samples (n=160) of the in-service veterinarians were calculated and a questionnaire, developed through a consultative process, containing questions on AMU and AMR in dairy animals was used to collect the data. The questionnaire was reviewed by experts and pretested before finalization. Descriptive analysis was done.



Of 164 respondents, 86 % were males. 61 % never heard about National Action Plan for AMR Surveillance in Pakistan and 84% were not able to identify Colistin as CIA. 69 % think that AMR is currently affecting the health of dairy animals in Pakistan. 33 % think that resistant-causing genes in bacteria cannot transmit to humans and 34% mentioned not considering milk withdrawal period before suggesting antibiotics. 75 % felt that irrational use of antibiotics is due to difficulty in making an accurate diagnosis. Almost, 33 % of the respondents did not send any samples to a laboratory for examination in the last 12 months.


The findings of this KAP study provide evidence-based data on the prescription behavior of veterinarians across Pakistan. The gaps have been identified in the knowledge, attitude and practices of a veterinarian regarding AMU and drivers of AMR that need to be addressed through awareness and training. Furthermore, antimicrobial stewardship is critical for the containment of ever-emerging and life-threatening antimicrobial resistance.

KAP, Antibiotic use, antibiotic resistance, veterinarians, Pakistan

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","978aef2c-117a-4e1c-b105-03f159c579de","1304e690-d6da-410b-9c6d-a8c1adf431e9","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Muhammad Usman Zaheer","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modeling the role of mortality-based response triggers on the effectiveness of African swine fever control strategies in Brazil","PresentationBio":null,"Title":"Mr.","FirstName":"Gustavo","LastName":"Machado","Position":"Assistant Professor","Organization":"North Carolina State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":9,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In the absence of effective vaccines, ASF control strategies are dependent on mass depopulation and shipment restrictions. We developed a multiscale model for the transmission of ASF, combining a spatially explicit network model of animal shipments with a deterministic compartmental model for the dynamics of ASF strains within 3 km×3 km pixels in one Brazilian state. The model outcomes: epidemic duration, number of secondary infected farms and pigs, and distance of ASF spread, the spatial distribution of ASF epidemics. We analyzed quarantine-based control interventions in the context of mortality trigger thresholds for the deployment of control strategies.

The epidemic of moderately virulent strain was 11.2 days, assuming the first infection is detected (best-case scenario), and 15.9 days when detection is triggered at 10% mortality. For a highly virulent strain, the epidemic was 6.5 days and 13.1 days, respectively. The distance from the source to infected locations was not dependent on strain virulence. Under the best-case scenario, we projected total infected farms of 23.77 farms and 18.8 farms for the moderate and highly virulent strains. At 10% mortality-trigger, the number of infected farms was on average 46.27 farms and 42.96 farms. We also demonstrated that the establishment of ring quarantine zones regardless of size (i.e. 5 km, 15 km) was outperformed by animal movement tracking. The proposed modelling framework provides an evaluation of ASF epidemic potential, the rank of quarantine-based control strategies, and assists animal health authorities in planning the national preparedness and response plan.
Keywords: network, dynamics, surveillance, business continuity.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b296acc0b7fe498f978f5ba0cae5e34a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","5178adf1-eaeb-4d5b-8fce-b18677488f5a","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Gustavo Machado","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling the spread and control of brucellosis in Paraguay: a tool for decision makers","PresentationBio":null,"Title":"Miss","FirstName":"Amaias","LastName":"Avalos","Position":"Phd Student","Organization":"Anses","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/65404fa7fd9b4df6becdfd45caf9f020","IsPresentingAuthor":false,"Order":10,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Brucellosis is a zoonosis caused by bacteria of the genus Brucella. Bovine brucellosis (BB), caused mainly by Brucella abortus, is associated with abortions, reduced fertility and decreased milk production, resulting in significant economic losses in the cattle industry. In Paraguay, whose main economic activity is cattle raising, brucellosis is an endemic disease and one of the main diseases of cattle. Several control plans were proposed in the past, but their implementation has not been widespread and the disease is still present in a significant part of the farms. The general objective of this work was to develop a brucellosis transmission model to test different disease control scenarios. Specifically, a stochastic compartmental model was developed that takes into account both intra- and inter-farm transmission. The spatialization of the model allowed considering inter-farm transmission at the local level, as well as transmission through livestock movements. Two routes of BB transmission were considered: transmission by direct or indirect contact between animals from different farms at pasture and movement of animals from infected to susceptible locations.
The simulations of the calibrated model have made it possible to establish the current risk map for the appearance and spread of brucellosis in Paraguay. In the future we will use the model to simulate, different disease control scenarios, and provide recommendations to decision makers.

Key words: Cattle, Dynamics of infections in animal populations, Ruminant diseases, Bovine brucellosis, Dynamical modelling.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","5178adf1-eaeb-4d5b-8fce-b18677488f5a","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/amaias-avalos-a9a214129","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/amaias-avalos-a9a214129","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/amaias-avalos-a9a214129","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/amaias-avalos-a9a214129","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Miss Amaias Avalos","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A global review of approaches to animal health priority setting and resource allocation, 2000-2021: a structured, systematic scoping review","PresentationBio":null,"Title":"Ms.","FirstName":"K. Marie","LastName":"McIntyre","Position":"Senior Analyst","Organization":"Global Burden of Animal Diseases programme, University of Liverpool","PhotoUrl":null,"IsPresentingAuthor":false,"Order":11,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The objective of this scoping review was to identify and describe methods that have been used to prioritise animal diseases to allocate resources for interventions associated with disease control, surveillance or research.
Materials and methods
Three electronic databases (Medline/PubMed, Embase and CAB Abstracts) were searched using syntax with inclusion and exclusion criteria. The search identified 6395 articles after de-duplication. Upon manual searching, an additional 64 articles were added. A total of 6460 articles were finally imported to an online systematic review management software (sysrev.com) for screening. Based on inclusion and exclusion criteria, 532 articles passed the first screening and after the second round of screening, 336 were recommended for a full review.
Results
The main methods of disease prioritisation identified were based on economic analysis, multi-criteria evaluation, risk assessment (qualitative, quantitative or semi-quantitative), simple ranking, spatial risk mapping and simulation modelling. Disease prioritisation was performed for the following reasons: 1) disease control, prevention or eradication strategies, 2) identification priority of diseases to inform general organisational strategy, 3) identification of high-risk areas or populations, 4) assessment of the risk of disease introduction or occurrence, 5) disease surveillance and 6) research priority setting. With regard to the geographical focus of the 336 articles prioritisation studies and assessments screened 49% had a national focus, 13% were local, 12% were regional, 7% were sub-national and 4% were global; 16% had no particular geographic focus.
Conclusion
This review describes the different approaches available for prioritising animal health investments and reflects on the pros and cons of different approaches. It also considers approaches used in other fields such as environment and human health and reflects on their suitability for animal health decision making.
Keywords: Multicriteria priority setting, animal health economics, resource allocation, animal health investment, decision making
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. K. Marie McIntyre","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Agent-Based value chain modelling for ex-post economic assessment of antimicrobial use reduction policy","PresentationBio":null,"Title":"Assoc Prof.","FirstName":"Guillaume","LastName":"Lhermie","Position":null,"Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6db031e0ef4d4f76b25c05ac2a13ea93","IsPresentingAuthor":false,"Order":13,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"France was one of the first European countries to put in place voluntary regulatory measures aimed at reducing the use of antibiotics in livestock farming. The objectives of the Ecoantibio1 plan were achieved in 2016, however efficiency evaluation of the policies put in place is complex because policies were multi-objective and concerns interdependent strategic sectors. The pork sector is chosen as the analysis scale for this economic evaluation because it is the most standardized in terms of the use of antibiotics. To assess the efficiency of the Ecoantibio plan on the sector, a multi-agent bioeconomic mathematical programming model representing the pork sector was developed under Python. The model represents the main players in the sector and their interactions and makes it possible to (i) distinguish the classes of antibiotics (critical and non-critical) through techniquo-sanitary farm management matrices (ii) represent the different physiological stages of animals associated with highly variable uses of medicinal inputs (iii) and simulate regulatory and voluntary measures. The simulated actors are breeders (different systems), cooperatives and veterinarians. The voluntary change in practice can take place in the model by confronting, on the one hand, the persuasiveness of veterinarians and general awareness of farmers (networks and spots); and on the other hand through a factor of receptivity and opportunism of the breeders.
The simulations were carried out over the duration of the plan (week step) and the model was validated by confronting to field date, antimicrobial use indicators per family, the level of production of the entire sector and economic indicators. Results show a low economic impact of the reduction in the use of antibiotics on the income of farmers. these results were compared in the field and are consistent with the results of surveys carried out among pig producers.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","0c879798-e821-4cff-bf7e-791d4b78ec7f","b838af4f-bddf-4b1b-84d6-642a51a831fd","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Assoc Prof. Guillaume Lhermie","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Investigating and modelling foot-and-mouth disease occurrence and spread in South Africa (2007-2016) ","PresentationBio":null,"Title":"Dr.","FirstName":"Mohamed Mahmoud","LastName":"Sirdar Issa Adam","Position":"Sub-regional Programme Officer","Organization":"World Organisation for Animal Health","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3edb301c9dc0493d807cfdf1a2e4db12","IsPresentingAuthor":false,"Order":14,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction
Foot-and-mouth Disease control in South Africa includes animal movement restrictions, prophylactic vaccination of cattle, clinical surveillance, and disease control fencing separating livestock from wildlife reservoirs. Since 2019, South Africa’s FMD free zone without vaccination status was suspended due to a FMD outbreak outside the controlled zones.
Objectives
To estimate and predict the risk of FMD introduction and spread within the FMD protection zone of South Africa (2007-2016).
Material and Methods
Eleven risk factors for FMD occurrence and spread were used to build a weighted linear combination (WLC) scores spatial risk assessment model based on FMD expert opinions. A multivariable conditional logistic regression model was also used to calculate predicted probabilities of a FMD outbreak for all dip-tanks (animal assembly and inspection points) within the study area. Smoothed Bayesian kriged maps were generated for all risk factors, overall WLC scores for FMD occurrence, spread and predicted probabilities of a FMD outbreak based on the conditional logistic regression model.
Results
Expert opinion believed that vaccine matching had a great influence on both FMD occurrence and spread. Though, FMD occurrence was influenced predominantly by proximity to game reserves and cattle density, while cattle populations, cattle inspection (surveillance) and vaccination practices were important determinants of FMD spread. Highly effective cattle inspections were observed within areas that previously reported FMD outbreaks; indicating the importance of cattle inspection as a necessary element associated with FMD outbreak detection. The multivariable conditional logistic regression analysis identified cattle population density and proximities to game reserve fences and rivers as significant factors for the reporting and increasing risk of FMD outbreaks.
Conclusion
Identification of high-risk locations for FMD occurrence and spread can be used to implement risk-based surveillance and control for regaining and maintaining an FMD-free status without vaccination.
Keywords: FMD, Bayesian kriging, risk, Dip-tank; Kruger National Park ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a424daba-5d1a-4f4a-9bf5-d16c5f51514c","84b4edb4-71ea-4d85-9aa9-c6aaea9282ae","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mohamed Mahmoud Sirdar Issa Adam","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Investigating compliance with and impacts of cow comfort recommendations in smallholder dairy farmers in Kenya","PresentationBio":null,"Title":"Dr.","FirstName":"George","LastName":"Gitau","Position":"","Organization":"University of Nairobi","PhotoUrl":null,"IsPresentingAuthor":false,"Order":15,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Smallholder dairy farmers (SDF) in developing countries have limited understanding on the important role of cow comfort on dairy cow productivity. We conducted a randomized controlled trial on 124 cows on 114 SDF to determine the status of cow comfort, to assess compliance to farm-specific cow comfort recommendations, and to evaluate the impact of the recommendation intervention on cow comfort.
Materials and methods
On the first farm visit, stall dimensions and characteristics (e.g. stall base hardness and hygiene) were measured and marked as adequate, marginal or inadequate/absent based on standard industry criteria. Where measurements were not adequate, farm-specific cow comfort recommendations were provided in written and oral form to the randomly allocated intervention group of farms (n=74). On the second farm visit two months later, the same measurements were taken, and compliance to the recommendations was evaluated. A discomfort index was arithmetically calculated based on the stall base hardness (scale was 1-3 for soft to hard) and hygiene (scale was 1-5 for clean to dirty). Multivariable linear regression models were used to determine associations with the discomfort index.
Results
On the first visit, the mean stall hardness and hygiene scores were 1.7 and 2.3, respectively, for a mean discomfort index of 4.0. Intervention farmers were given 3.9 comfort recommendations and complied with 2.1 recommendations, improving the discomfort index at visit two to 3.1. In the final model, bedding type, neck rail positioning and reported current milk yield were significantly associated with the discomfort index, along with the interaction between visit number and study group, demonstrating improved cow comfort among cows on intervention farms.
Conclusion
We concluded that farmers can improve cow comfort on SDF by providing recommendations to them. Farm advisors should include cow comfort recommendations to SDF.
Key words: cow comfort, smallholder dairy farms, recommendations, compliance.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. George Gitau","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Retrospective study of the Bovine Tuberculosis Eradication and Control program across dairy cattle in Fiji from 2015 to 2020","PresentationBio":null,"Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":16,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective:
To evaluate the performance of the test-and-cull based Bovine Tuberculosis Eradication and Control program (BTEC) for the dairy industry in Fiji 2015-2020.
Methods:
Longitudinal data from dairy cattle tested during 2015-2020 were analysed to quantify the tests applied, bTB positive herds, reactors, and meat inspection findings.
Results:
The dairy industry is concentrated in Central Division which includes Suva, the capital of Fiji. Based on population data reported in the 2020 Fiji Agriculture Census, in 2020 the BTEC program tested 74.5% of the dairy cattle in Central Division.
3,912 (7.8%) of the total of 50,237 unique identity dairy cattle tested during 2015-2020 were bTB reactors (Figure 1). They came from 209 farms, which represented 61.7% of the 339 dairy farms tested. In 2019-2020, tissues from reactors without visible bTB lesions at meat inspection were sent for culture and 79% were presumptive culture positive for M. bovis.
By 2020, when classified by size of operation, the proportion of bTB positive dairy farms was 64%, 28% and 21% for commercial, semi-commercial and subsistence farm categories, respectively. Thirteen of 82 (16%) dairy farms tested every year achieved bTB clear status during 2019-2020.
Conclusions:
Bovine tuberculosis remains a serious concern for the Fiji dairy industry and a public health risk for those that consume unpasteurised milk. It is imperative that the main contributors to bTB persistence in dairy farms be identified so that government policy and industry action can target these and support more farms to achieve and maintain clear status.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8c49adf523ed490d81434fd684c5e8d3","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","8fc4d524-a96c-44ab-af7e-21be4a6db35f","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","512e7a65-c837-49ce-8f06-827e25887293","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Jenny-Ann Toribio","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Possible cross-reactivity of antibody and antigen test results for bovine viral diarrhea virus and classical swine fever virus in dairy cattle in Kenya.","PresentationBio":null,"Title":"Prof.","FirstName":"John","LastName":"VanLeeuwen","Position":"Interim Dean of the Atlantic Veterinary College","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0165221515e845aabbf3d9c8269ca197","IsPresentingAuthor":false,"Order":17,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Correct diagnosis is very important in the control of bovine viral diarrhea virus (BVDV) and identification of carriers. Classical swine fever virus (CSFV) is in the same genus as BVDV, and primarily a pig pathogen but known to infect cattle. This could present a diagnostic challenge for BVDV through possible cross-reactivity of BVDV tests where cattle are exposed to pigs and CSFV. The objective of this study was to determine possible cross-reactivity of BVDV and CSFV ELISA results for antigen (Ag) and antibody (Ab) among smallholder dairy cattle in Kenya.
Materials and Methods: Testing for BVDV Ag and Ab was initially conducted on 320 purposively selected samples. Testing for CSFV Ag and Ab was also conducted on a subset of these samples, based on BVDV test results and availability of enough sample volume from farms that kept pigs. The final dataset had a total of 133 and 74 serum samples tested for both antigens (Ag) and both antibodies (Ab), respectively.
Results: For the 74 Ab tests, 54.0% were BVDV Ab positive, while 85.1% were CSFV Ab positive. Of the 40 BVDV Ab positive samples, 90.0% tested positive for CSFV Ab. However, of the 34 BVDV Ab negative samples, 79.4% were CSFV Ab test positive. For the 133 Ag tests, 94.0% were BVDV Ag positive, with only 2 (1.5%) among these samples were CSFV Ag positive. None of the BVDV Ag negative samples was positive for CSFV Ag.
Conclusion: The results indicate a high possibility of substantial cross-reactivity for the two Ab ELISA tests, or reactivity with another Pestivirus. There was limited evidence for possible cross-reactivity of the two Ag ELISA tests. Cross-reactivity should be considered when interpreting ELISA results for the Pestivirus genus in cattle, more for Ab than Ag tests.
Key words: Cross-reactivity, BVDV, CSFV, Antibody, Antigen
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. John VanLeeuwen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing the effects of antimicrobial use policy on antimicrobial resistance in Salmonella Dublin","PresentationBio":null,"Title":"Mr.","FirstName":"Marwan","LastName":"Osman","Position":"Post-Doc Associate","Organization":"Cornell University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5b0a5dec45ba4610a45279f751719ccf","IsPresentingAuthor":false,"Order":18,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: We aimed to compare antibiotic resistance prevalence and minimum inhibitory concentrations (MICs) of Salmonella enterica serovar Dublin among cattle in the United States before and after the restriction of extra-label cephalosporin use in 2012.

Materials and methods: From the publicly available National Antimicrobial Resistance Monitoring System (NARMS) database, we collected minimum inhibitory concentrations from 517 Salmonella Dublin isolated from cattle at slaughterhouses between 1999 and 2017. Isolates were classified as resistant or susceptible to 18 different antibiotics based on NARMS breakpoints. We used the Mann-Kendall test (MKT) to detect the presence of a significant trend in the percent of resistant isolates over the study period. Regression models were built with antibiotic resistance (logistic) and MIC values (Cox Proportional Hazards) as the outcome and isolation date, an indicator of before and after the restriction, and interaction term as explanatory variables.

Results: Overall, 66.7% were resistant to ampicillin, 48.1% to amoxicillin-clavulanate, 46.4% to ceftriaxone, 76% to tetracycline, and 11.6% to ciprofloxacin. The MKT revealed a significant increasing temporal trend for multidrug resistance, as well as all the aforementioned antibiotic resistances. Salmonella Dublin isolates were significantly more likely to demonstrate in vitro resistance and higher MIC values to the above-mentioned antibiotics in the 2015-2017 period compared to the period before the livestock antibiotic ban (1999-2011). However, our results highlighted that the cephalosporin restriction reduced the intensity of the increase in ceftriaxone resistance and MIC values, but not to the other antibiotics. We identified that chloramphenicol resistance is a great predictor of resistance to ampicillin, amoxicillin-clavulanate, ceftriaxone, and tetracycline.

Conclusion: This study showed that antibiotic resistance is still a growing public health concern among the cattle population in the United States. Indeed, the increasing resistance to antibiotics among Salmonella Dublin cattle isolates, including ceftriaxone, underlined the urgent need for immediate interventions.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","33998207-8c57-4717-9114-ccf9182e92bf","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","0c879798-e821-4cff-bf7e-791d4b78ec7f","8fc4d524-a96c-44ab-af7e-21be4a6db35f","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Marwan Osman","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluation of diagnostic accuracy and agreement between thoracic ultrasonographic examination, clinical scoring and detection of respiratory pathogens in dairy calves","PresentationBio":null,"Title":"Ms.","FirstName":"Silje Enge","LastName":"Lildholdt","Position":"Phd-Student","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":19,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: bovine respiratory disease, diagnostic tests

The objective of this study was to evaluate the agreement between, and diagnostic accuracy of thoracic ultrasonographic examination findings, traditional clinical scoring results and detection of respiratory pathogens in healthy calves and calves with bovine respiratory disease (BRD) in dairy production.

The study design was cross sectional and included a convenience sample of 90 calves in seven dairy herds with a consistent BRD problem, spread across southern Norway. Each calf with clinical symptoms of BRD was paired with a calf appearing healthy. Three examinations were performed on all the included calves: thoracic ultrasonography, clinical examination and collection of bronchoalvolar lavage. Ultrasonographic findings were registered as B-lines and consolidation depth and assessed 0 to 3. Clinical examination was performed of all calves according to a clinical scoring system modified after Klem et al. and assessed 0 to 3. Bacteria cultured from the bronchoalveolar lavage were categorized from 0 to 2 according to semiquantitative detection of known bacterial respiratory pathogens. Further analysis will be performed during 2022. Agreement between the three 'diagnostic tests' will be estimated by Weighted Kappa. The ordinal scoring from all tests will be dichotomized before latent class analysis using a predetermined cut-off.

Preliminary results from 7 herds (n=90):
- 45,6 % of included calves had thoracic ultrasonographic findings above the cut off value
- 7,8 % of included calves had a clinical score above the cut off value
- 15,6 % of included calves had respiratory pathogens detected on bronchoalveolar lavage
Lildholdt S 1 , Ånestad L 2 , Skogmo H 1 , Toftaker I 1 , Stokstad M 1
1 Department of Production Animal Clinical Sciences, Norwegian University of Life Sciences, Ås, Norway
2 Norwegian Veterinary Institute, Ås, Norway
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","c54f9b9d-8dfb-410e-9187-f32dd54c71fc","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Silje Enge Lildholdt","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantifying Animal Health Care Spatial Accessibility in the French Cattle, Swine and Poultry Sectors with Two-step Floating Catchment Area Method ","PresentationBio":null,"Title":"Assoc Prof.","FirstName":"Guillaume","LastName":"Lhermie","Position":null,"Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6db031e0ef4d4f76b25c05ac2a13ea93","IsPresentingAuthor":false,"Order":20,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objective

The decrease in the supply of veterinary healthcare in France adversely affects health of food-producing animals. In a One Health perspective, the health of people, animals and their shared environment are interconnected; therefore, the supply of veterinary healthcare is linked to public health. Prevention of outbreaks and zoonotic diseases that may impact public health requires a set of public policies. Although these policies should be informed by quantification of animal health care accessibility. The objective was to quantify the accessibility to veterinary healthcare for cattle, swine, and poultry sectors in France.

2. Materials and methods

A Two-Step Floating Catchment Area (2SFCA) approach was used to measure the level of accessibility to veterinary clinics at a low geographical level (canton) in France. Drawing on a dataset of farms and on a dataset of veterinarians collected in 2019, the 2SFCA score was calculated using the travel time between each farm and veterinary clinic as distance measurement estimated on actual road networks. A sensitivity analysis was conducted to provide information regarding the spatial accessibility distribution.

3. Resuts

In the cattle sector, the 2SFCA score indicated relatively high accessibility in the north and south of France, but insufficient accessibility elsewhere. In the swine sector, there was high accessibility in the north east and in north of France, medium accessibility in the south west, and insufficient accessibility elsewhere. Finally, in the poultry sector, all regions had insufficient accessibility.

4. Conclusion

We provided evidence that the supply of animal health care was not sufficient in many areas of France. Additionally, our research proposed recommendations on how to assess animal health care accessibility, enabling modelling and visualization of the effects of potential public policies aimed at reducing veterinary shortages.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","02f86f29-9eae-4d8d-b937-84e31f38e74d","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Assoc Prof. Guillaume Lhermie","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The veterinarians’ perspective regarding pasture parasites in Norwegian sheep and cattle, a questionnaire study","PresentationBio":null,"Title":"Ms.","FirstName":"Caroline","LastName":"Nedrelid","Position":"PhD Student","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":21,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Questionnaire, veterinarians, pasture parasites, sheep, cattle

The objective of this study was to investigate veterinarians’ perception of the impact of pasture parasites on Norwegian sheep and cattle and their current management strategies.

The study had a cross-sectional descriptive design. A net-based, pre-tested questionnaire was distributed by email to veterinarians that were likely to be involved in farm animal practice via the Norwegian Veterinary Association in September 2021. Questions concerned demographics, clinical importance, prescription, diagnostics, advice and anthelmintic resistance regarding the most important pasture parasites in Norway. These were defined as Eimeria spp., gastrointestinal nematodes and Fasciola hepatica. STATA were used for the descriptive analysis.

The survey yielded 282/945 (30%) responses, of which 242 worked with farm animals. In sheep flocks 190/238 (80%) though Eimeria spp. had a medium/large clinical importance, while 181/235 (77%) thought F. hepatica had a non/small clinical importance. Gastrointestinal nematodes ranked in between. In dairy cattle 140/238 (59%) considered pasture parasites as clinically important, and 79/222 (35%) thought so in beef cattle. Disease history and pasture management were the most important factors when deciding to prescribe anthelmintics. Still, 165/237 (70%) of the respondents said that the farmers’ opinions had a medium/large impact on the decision. Faecal egg count was ranked as the least important factor, used seldom/never by 154/239 (65%) in sheep flocks and by 198/237 (83%) in cattle herds. Advice regarding non-pharmaceutical management on farms were given by 203/239 (85%) and 173/239 (72%) felt responsible regarding prevention of anthelmintic resistance.

Veterinarians consider the impact of pasture parasites to be of clinical importance in Norwegian sheep and dairy cattle. The respondents considered the clinical importance of pasture parasites to be lower in beef- than in dairy cattle. Nevertheless, anthelmintics were prescribed extensively. Preventive treatment was common practice, and diagnostic tools were rarely used.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Caroline Nedrelid","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Environmentally sustainable business initiatives may support veterinary staff wellbeing and retention","PresentationBio":null,"Title":"Mrs.","FirstName":"Danielle","LastName":"Scott","Position":"Veterinarian, Phd (epi) Candidate), Preventive Medicine Resident","Organization":"Colorado State University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c443a33899f349a09c797a01b17c06f1","IsPresentingAuthor":false,"Order":22,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Veterinary technicians play an important role in the operation of practices and therefore have potential to be key players in promoting environmental sustainability in veterinary medicine. The objective of this study was three-fold: to explore (1) technician views on the perceived health effects of climate change and its associated risks to pets; (2) the role the profession has in addressing climate change and health; and (3) identify available education on this topic accessible to technicians.

Methods: An anonymous survey was developed to gather input from certified veterinary technicians, non-licensed technicians and assistants, and technician students. A survey addressing the study objectives was distributed to practices throughout the United States, at AVMA accredited technician programs, and through technician social media pages. All responses were anonymous and no question required a response. Percentages were calculated out of total responses per question.

Results: There were 545 responses to the survey. Overall, veterinary support staff feel strongly that climate change is occurring and is directly related to patient health. Respondents indicated that staff should be knowledgeable about the effects climate change has on pet health, yet there is a significant lack of education on this topic in technician curriculum. Respondents believe sustainability in veterinary medicine should be a priority and they would choose practices that prioritize sustainable business initiatives over those that do not.

Conclusion: This study builds on previous work highlighting the concern veterinary professionals have about the animal health impacts of climate change. Veterinary support staff have the potential to meaningfully contribute to climate change adaptation and mitigation efforts but require resources to help them achieve this goal. This study also supports previous work suggesting that sustainable business practices may offer a financial incentive for practice owners through increased staff retention.

Keywords: Climate change, sustainability, veterinary technician, education, sustainable business","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["26b4b891-ec44-4aba-abc6-e9254d87df53","cb344d68-5710-46be-a916-dd122f96ab66","978aef2c-117a-4e1c-b105-03f159c579de","02f86f29-9eae-4d8d-b937-84e31f38e74d","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Danielle Scott","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Dutch dairy farmers’ perspective on culling reasons and strategies","PresentationBio":null,"Title":"Mr.","FirstName":"Pranav Shrikant","LastName":"Kulkarni","Position":"Phd Candidate","Organization":"Wageningen University and Research","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/239fb06ab0cf4277988d358e1474839f","IsPresentingAuthor":false,"Order":23,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"There is little known about the reasons for Dutch dairy culling decisions. Aim of the study was to identify the important reasons for culling producing cows, understand the culling strategies applied by Dutch farmers and their intentions of altering these strategies.
An online survey was distributed on a national network of dairy farmers. This survey consisted of four parts, namely, farm characteristics (herd size, milking system, etc.), reasons for culling cows (primiparous and multiparous), strategies of culling and the intentions of farmers to alter their current strategy in the future. After collecting the responses over one month in 2021, descriptive analyses were performed.
Of 176 respondents, 122 completed majority of the survey. Respondents had an average herd size of 128 cows. The average number of culled cows was 21 with an average herd age of 5.4 years. Of the reported reasons for recently culled primiparous cows, 34.4% and 18.9% were due to reproductive failure and low milk, respectively. In multiparous cow culling, 46.7%, 29.2% and 28.8% reported reproductive failure, presence of mastitis and, lameness as reasons respectively. For all cows, the least frequent reasons were available replacements, unwanted behaviour, and udder conformation. Regarding the culling strategies, 72% respondents reported that they adopted a clear culling plan. 80% of the respondents said that their culling decisions were unavoidable. 62.6% and 53% of respondents reported that they did not intend to alter their culling strategy for primiparous and multiparous cows respectively. Of others, 65% intended to decrease overall culling. 73% intended to alter their culling strategy for economic gain.
In conclusion, most important reasons for culling of Dutch dairy cows were reproductive failure and presence of production diseases (mastitis, lameness). Most of the respondents followed specific culling strategies without intentions of altering it in the future.
Keywords:Survey, culling strategies, dairy, reproduction, mastitis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Pranav Shrikant Kulkarni","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Rapid outbreak distribution and comprehensive diagnoses of the emerged lumpy skin disease caused by the virulent vaccine-recombinant virus in dairy and beef cattle, Thailand","PresentationBio":null,"Title":"Dr.","FirstName":"Pipat","LastName":"Arunvipas","Position":"Associate Professor","Organization":"Kasetsart University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9f38c178e6b54ab590e4f58bedaf810c","IsPresentingAuthor":false,"Order":24,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The major aims of our study were to describe the distribution of LSD in Thailand and demonstrated complete diagnoses to identify the circulating LSDV during the first outbreak. We also aim to characterize LSDV genetics and phylogenetic relationship between LSDV vaccine and the circulating strains in other countries.

Materials and Methods: Blood and nodular skin samples from 859 affected animals were diagnosed by real-time PCR targeting p32 gene. The significance of sample type was analyzed by Chi-square test (n=111). The virus was isolated by lamb primary cells followed by a cattle cell line and confirmed by immunoperoxidase monolayer assay. LSDV antigens were detected by Immunohistochemistry (IHC). RPO30 and GPCR from five isolates, and a whole genome of the virus were analyzed by DNA sequencing and phylogenetic analysis. Recombination analysis was performed by RDP4 and SimPlot software.

Results: About 50% of LSDV suspected animals were confirmed positive by qPCR. Skin samples showed 10 times positive higher than blood samples (p<0.05). The virus was successfully cultured and caused CPE at 4 days post inoculation. Histopathology showed inclusion bodies in keratinocytes and skin epithelial cells. Genome analysis showed that Thai LSDV isolates were closely related to Vietnamese and Chinese strains. Recombination analysis showed 11 recombination events and suggested that Thai LSDV was likely a vaccine recombinant strain.

Conclusion: This is the first inclusive report on disease distributions and complete LSDV diagnoses during the first wave of LSD outbreak in Thailand. Our study demonstrated rapid and accurate detection methods as well as genetic relationship between LSDV from Thailand and other countries. This study also provides evidence of the vaccine-like LSDV strain in Thailand.

Keywords: Lumpy skin disease, Thailand, Diagnosis, Whole genome, recombinant strain","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","b838af4f-bddf-4b1b-84d6-642a51a831fd","fad4e092-eee7-46ed-b4a6-a335b0f641b7","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Pipat Arunvipas","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Cost estimation of assisted calvings on western Canadian cow-calf operations","PresentationBio":null,"Title":"Miss","FirstName":"Cecilia","LastName":"Lucio Rodriguez","Position":"Master's Student","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":25,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"During parturition, a cow can experience a difficult birth that may require human assistance. This can lead to negative consequences such as disease and death, as well as reduced future performance, all which result in economic loss.

Objectives: The objective of this study was to estimate the cost of an assisted calving on cow-calf operations in western Canada.

Materials and method: Records from 2015 to 2020 from five cow-calf operations located in the provinces of Alberta and Saskatchewen were used to assess the cost of an assisted calving. Data included in the economic model for the calf were stillbirths, calving ease score, mortality before weaning, treatments, and weaning weights. Cow records collected were calving ease score, date of calving, treatments during the 30 days post-partum, mortality, pregnancy risk, and the average age at calving. Cows’ and calves’ treatments selected were related to problems after calving. These data were included in the economic model that calculated costs by multiplying the probability of an event by the cost of that event and also accounted for other information such as labour cost, cull revenue, and weaned calf revenue from published sources (e.g., Canfax, AgriProfit, Statistics Canada, and the Canadian Veterinary Medical Association).

Results: Preliminary results indicated that on average, assisted calvings in cows cost $204.42 more than unassisted ones, while in heifers there was an expected cost difference of $495.85. Further analysis will be done with additional data from other operations to refine these estimates and calculate a measure of variance.

Conclusion: An assisted calving had a higher cost compared to an unassisted calving for the producer due to lost revenue of calves that died before weaned, additional expenses that may occur during the assistance, and potential health problems related to a difficult birth.

Keywords: calving assistance, cost estimation, economic model, beef cattle
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Cecilia Lucio Rodriguez","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bayesian estimation of accuracy of ELISA on bovine bulk tank milk for predicting herd status for Salmonella Dublin","PresentationBio":null,"Title":"Dr.","FirstName":"Maryse Michele","LastName":"Um","Position":"Postdoctoral Reseacher","Organization":"University of Montreal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d6ef8519f2bd47bf87b39ecf88c2e1ff","IsPresentingAuthor":false,"Order":26,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1.\tObjectives
There is no perfect test for determining herd-level status for Salmonella Dublin in dairy herds in absence of confirmed clinical cases. Our objectives were to evaluate the accuracy of different testing scenarios (repeated measurements vs. one) with antibodies measurement (ELISA) on bulk tank milk (Bmilk).

2.\tMaterials and methods
A cohort of 302 randomly selected (population 1) and 58 herds that had previously tested positive to S. Dublin (population 2) were included. Bmilk samples were collected monthly for 6 months (test under investigation) and sera were obtained from 10 young animals on two occasions (imperfect reference test). A Bayesian latent class model for two populations, two tests was fit. We compared Bmilk ELISA testing scenarios where we used: 1) cut-off PP% of ≥15 or ≥35; 2) 1, 2, 3, 4 or 6 samples; and 3) case definitions requiring 1, 2, 3, or 4 positive tests to define the herd as positive.

3.\tResults
Testing > one Bmilk had little or no effect on the specificity. For example, with PP% ≥35, using two Bmilk, with two positive results vs. one Bmilk yielded specificity of 98.7% (96-99.9) vs. 97.8% (95.7-99.5). Given the low disease prevalence (7% in population 1), slightly better positive predictive values (PPV) were obtained for scenarios using very strict definitions to conclude on positivity. The PPV, however, were estimated with little precision. Inversely, in general there were no major differences between approaches neither for sensitivity nor for negative predictive value (NPV). The NPV remained high, ranging from median estimates of 93.7 to 97.5% in population 1.

4.\tConclusion
The optimal testing scenario using ELISA on Bmilk depends on the producer priority and the disease history of the herd, but approaches based on as few as two Bmilk could be recommended to identify uninfected herds with high certainty.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","c54f9b9d-8dfb-410e-9187-f32dd54c71fc","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Maryse Michele Um","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The power of the word: Introducing Thematic Analysis as a biosecurity research tool using a case study of Australian feral pig management ","PresentationBio":null,"Title":"Dr.","FirstName":"Jennifer","LastName":"Manyweathers","Position":"Senior Lecturer In Epidemiology And Ruminant Health","Organization":"Charles Sturt University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6b69e1117b3d44e588437d71e2b5d9ff","IsPresentingAuthor":false,"Order":27,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords (5): invasive species management, feral pigs, Thematic Analysis, stakeholder engagement, landscape genetics

Objectives
Exotic invasive animal species (IAS) are one of the drivers precipitating the extinction crises of vertebrate species in the 21st century. However, managing IAS is also a “wicked problem”, with competing and conflicting stakeholder priorities, wherein management and mitigation projects have a high failure rate. To improve the success of such projects, qualitative data collected from discussions with relevant stakeholders can be useful for identifying important drivers for the success or otherwise of IAS management programs.

Materials and Methods
Qualitative approach generally and thematic analysis specifically are under-utilised but beneficial techniques in IAS research. A case study, based on landscape genetics to delineate the sub-populations of invasive feral pigs throughout mainland Australia, was used to demonstrate how thematic analysis of stakeholder semi-structured interviews can be used to develop recommendations to inform successful project implementation.
Results
The feral pig feasibility study highlighted the need to engage with existing networks and relationships, rather than undertake a new approach with landholders and hunters. The study also illustrated the need for flexibility in data collection approaches to meet the needs of participants with variable connectivity, literacy and data recording capacity, and the expectations around location privacy. Thematic analysis also allowed for the identification of relationship risk that exists amongst the stakeholders, requiring careful management to strengthen the opportunities for project success.
Conclusion
Thematic analysis is shown to be an efficient and cost-effective method which allows for in-depth reflection on stakeholder attitudes and engagement to inform development of IAS management programs and uncover potential barriers to stakeholder adoption.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jennifer Manyweathers","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Benefit-cost analysis of a H7N9 vaccination program in poultry in Guangxi, China ","PresentationBio":null,"Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":30,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"China launched a H7N9 vaccination program in poultry from July 2017, as a response to a steep increase of H7N9 influenza human infections. Since then, H5-H7 bivalent vaccine has been used in the nationwide avian influenza compulsory vaccination program to replace the existing H5N1 vaccine. However, the economic returns of the H7N9 vaccination program in China have never been adequately assessed. This study was designed to evaluate the economic value of the H7N9 vaccination program in Guangxi by assessing the benefits and costs of the program compared to not vaccinating against H7N9.

A benefit-cost analysis (BCA) was undertaken to evaluation the adoption of a vaccination program against H7N9 in each of three consecutive years from July 2017 to June 2020 with the baseline scenario (the absence of H7N9 vaccination in the 12-month period July 2016 to June 2017). Both animal and public health perspectives were included in the BCA framework, and took account of both the private and public sectors.

Benefit-Cost Ratio (BCR) of the three-year H7N9 vaccination program was 18.6 (90%PI: 15.4; 21.8), and total Net Present Values reached to CNY 1.63 billion (90%PI: 1.37 billion; 1.89 billion). The extra revenue generated by the yellow broiler industry comprised 93.8% of the total benefits after adoption of H7N9 vaccination program in Guangxi. While, cost-savings in public health and animal health expenditure avoided were 3.6% and 2.6%, respectively. Sensitivity analysis found the yellow broiler wholesale prices contributed 97.7% of the variance of the total NPV of three vaccination years.

The study results demonstrate the significant economic advantage of implementing a vaccination program against H7N9 in Guangxi. It also offers a new set of evidence to China’s H7N9 vaccination policy and debates around economic values of conducting routine avian influenza vaccination.

Keywords: H7N9, avian influenza, vaccination policy, benefit-cost analysis, China

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","d3066121-1fde-4a88-a77e-f435960ef4f2","502f57ff-3ea6-475b-858d-340ec3e1c6e4"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mieghan Bruce","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The shifting role and practice of veterinary diagnosis in addressing concerns over antimicrobial use","PresentationBio":null,"Title":"Prof.","FirstName":"Kristen","LastName":"Reyher","Position":"Professor Of Veterinary Epidemiology And Population Health","Organization":"Bristol Veterinary School, University Of Bristol","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/517887d0032e4e379e423908bbaef7a3","IsPresentingAuthor":false,"Order":30,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Growing attention to reducing antimicrobial use in animal health has led to a focus on rapid, point-of-care diagnostics to more effectively target medicine use. This work explores the emerging role of such diagnostic tests in the treatment of farm animal disease.

Materials and Methods
To investigate current diagnostic practices and perceptions of emerging rapid and point-of-care diagnostic tests, we undertook:
- Large-scale online survey of 153 farm animal veterinarians to investigate current veterinary diagnostic practice and antimicrobial treatment
- Semi-structured interviews with farm animal veterinarians (N=30) and farmers (N=30) in dairy, pig and poultry sectors
- Focus groups (N=3) with veterinarians and others considering diagnostic use on farms

Results
Several factors influenced veterinary diagnostic practice. Clinical observation and animal/herd knowledge was critical in selecting antimicrobial treatments, however there was considerable ambivalence regarding the use of rapid and point-of-care diagnostic tests to improve clinical diagnosis and address inappropriate antimicrobial use. Relative rapidity and simplification of results was compared to accuracy, interpretive flexibility and more detailed procedures of established laboratory testing. In situations of multifaceted on-farm aetiologies, rapid tests offered restricted diagnostic capabilities, though in other situations they were seen to allow ready confirmation of disease presence. Discussion suggested that veterinary rationales for engaging with and interpreting diagnostic testing were driven by both medical and non-medical motivations, scaffolded by circumstantial complexity and enmeshed with professional identity.

Conclusion
Veterinarians seek to manage uncertainties in farm environments in which diagnostic test use is situated, demanding dynamic professional rationales and motivations in the adoption and interpretation of these technologies. This complexity forces a disconnect upon any simple predictive relationship between rapid tests and more effective antimicrobial use in farm animal treatment. As a result, rapid tests are unlikely to drive significant reductions or revolutionise/displace current treatment practices.

Keywords: diagnostics, antimicrobial use, farm animal

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Kristen Reyher","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An online foreign animal disease response course as a tool for teaching applied epidemiology to veterinary students","PresentationBio":null,"Title":"Dr.","FirstName":"Yvette","LastName":"Johnson-Walker","Position":"Lecturer","Organization":"University of Illinois","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/179b2c35da0841c9a69f48b4bae941f1","IsPresentingAuthor":false,"Order":31,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The National Animal Disease Preparedness and Response Program (NADPRP) enhances efforts to keep high-consequence animal diseases from entering and spreading in the US. A NADPRP cooperative agreement with the University of Illinois (UI) created an online course for veterinary and graduate students.
This course provided students with core epidemiologic components in response to a foreign animal disease (FAD) incursion. Course objectives were to:
1) apply principles of infectious disease epidemiology, prevention and control to three diseases: Foot and Mouth Disease, African Swine Fever, and Highly Pathogenic Avian Influenza;
2) understand the social, economic, public health, and animal welfare implications of FAD outbreaks and response policies;
3) introduce students to the National Incident Management System and the Incident Command System that form the basis of emergency response in the US;
4) introduce and engage students with FAD preparedness and response work.
Methods
This course was an 8-week, 2 credit hour course, offered in an asynchronous online format, using the CGScholar© learning management system. It was complementary to the subsequent epidemiology core course during the second year and the USDA Initial Accreditation Training for veterinarians during the fourth year. Student assessment was accomplished through online quizzes, discussion boards, and interactive online exercises.
Results
The course was developed and approved in fall 2020 through summer 2021. The course was delivered in fall semester of 2021. Seventeen UI students completed the online course and received NIMS 700 and ICS 100 certification. Student feedback received rated the course quality and content high. The course will contribute to the University application for AVMA Veterinarian Disaster Responder Certificate.
Conclusion
Veterinary students may struggle with the clinical relevance of epidemiology. An applied epidemiology course using FAD response reinforces the epidemiology core providing an innovative approach fostering student engagement with epidemiology and FAD response.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["07442f92-20d6-40eb-b297-c4897bc5781e","978aef2c-117a-4e1c-b105-03f159c579de","02f86f29-9eae-4d8d-b937-84e31f38e74d","cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Yvette Johnson-Walker","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Basic human values of Canadian and U.S. dairy producers","PresentationBio":null,"Title":"Mr.","FirstName":"Ting-Yu","LastName":"Cheng","Position":"Postdoc","Organization":"The Ohio State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":32,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"OBJECTIVE: A cross-sectional study was conducted to characterize and identify clusters of Canadian and U.S. dairy farmers based on ten basic human values.

METHODS: Dairy producers in Ontario (n≈3,300) and provinces in Atlantic Canada (n≈550), were systematically invited by email. U.S. dairy producers (n=1,000) in five states (Florida, Michigan, Ohio, Vermont, and Wisconsin) were selected using stratified random sampling. A survey including 20-item portrait value questionnaire evaluating Schwartz’s 10 human basic values (conformity, tradition, benevolence, universalism, self-direction, stimulation, hedonism, achievement, power, and security), was delivered. Producers’ relatability to each portrait was ranked by a 6-point scale (1-6). The score of each value was the mean rank of the two corresponding portraits. Canadian and U.S. producers were separately grouped into two clusters based on value scores using clustering analysis. Country-wise and cluster-wise comparisons in value scores were performed using the Wilcoxon rank-sum test.

RESULTS: By July 2021, 296 surveys were returned by selected Canadian producers (7.5%) and 315 usable responses (33.1%) from U.S. producers by May 2021. Canadian producers indicated more desire (p < 0.05) to enjoy life (hedonism, 3.84 vs 3.44), motivation towards success (achievement, 3.75 vs 3.41), and to be in charge (power, 3.65 vs 3.16), whereas U.S. producers more (p < 0.05) obedient (conformity, 4.13 vs 4.73), traditional (tradition, 3.13 vs 3.99), helpful (benevolence, 4.60 vs 5.01), egalitarian (universalism, 3.99 vs 4.45), and valued social security and stability (security, 4.16 vs 4.40). Producers valued stimulation, self-direction, and hedonism were grouped in both countries.

CONCLUSIONS: Difference in priorities of basic values was identified between Canadian and U.S. dairy producers. A group with more curiosity in new things and willingness to take risks was identified in both countries, suggesting these qualities can inform the design or implementation of best practices, future policies, and research programs.

KEYWORDS: human values; dairy producers","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Ting-Yu Cheng","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Comparison of early-life care between male and female calves on U.S. dairy farms accounting for producers’ attitudes toward male calf care","PresentationBio":null,"Title":"Mr.","FirstName":"Ting-Yu","LastName":"Cheng","Position":"Postdoc","Organization":"The Ohio State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":33,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"OBJECTIVE: This cross-sectional study aimed to investigate differences in early-life care of male and female calves on dairy farms in five U.S. states, and their relationships with dairy producers’ attitudes.

METHODS: U.S. dairy producers (n = 1,000) in Florida, Michigan, Ohio, Vermont, and Wisconsin were stratified by states and randomly selected in each stratum. A survey targeting farm demographics and on-farm calf care was delivered in February 2021. Early-life calf care was evaluated by the management of colostrum quality, quantity, and timing of delivery of the first colostrum feeding after birth, and compared between male and female calves using non-parametric Wilcoxon rank-sum test. Producers’ attitudes on male calf care were measured by their agreements with nine statements, and grouped by factor analysis. The association between differences in early on-farm care and producers’ attitude factors was investigated using multivariable logistic regression models.

RESULTS: By May 2021, 953 surveys were delivered and 315 returned with acceptable responses (33.1%). Comparing male and female calves, 16.1% and 15.6% of producers reported using different sources and delivery methods of colostrum in the first feeding, respectively (p = 0.28; 0.49). Less volume (p = 0.02) and longer delay to the first colostrum feeding (p = 0.001) were identified in male calves in 13 (5.14%) and 21 farms (8.57%), respectively. Producers with higher cost consciousness regarding male calf care were more likely (p < 0.05) to treat male and female calves differently regarding source (odds ratio [OR] = 1.25), delivery method (OR = 1.20), and timeliness of the first colostrum feeding (OR = 1.33).

CONCLUSIONS: Male calves received less optimal early-life care than females on U.S. dairy farms, which was associated with the producers’ cost consciousness in providing calf care. This association may be used to design interventions to improve calf welfare.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Ting-Yu Cheng","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A cross-sectional study on antimicrobial use and calf management practices in Canadian pre-weaned dairy calves","PresentationBio":null,"Title":"Ms.","FirstName":"Tamaki","LastName":"Uyama","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":34,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The objective of this study was to estimate antimicrobial use and investigate the relationship with calf management practices in pre-weaned heifer calves on Canadian dairy farms. This study was part of a multi-year project (Canadian Dairy Network for Antimicrobial Stewardship and Resistance). A convenience sample of 147 dairy farms across 5 provinces were visited to administer a questionnaire and collect calf health records. Questions focused on herd demographics and calf management practices. Calf records were retrieved from electronic and paper records. Antimicrobial treatments were obtained from heifer calves up to 60 d of age born in the last 12 months. For animals that left the herd, age at removal was used to calculate the number of days-at-risk. The defined daily doses (DDD)/calf-year was calculated for each antimicrobial class. In addition, the total number of antimicrobial treatments/calf-year was calculated for each farm and log-transformed as a dependent variable. A multivariable linear regression model was built to assess the relationship of calf management practices with the number of antimicrobial treatments/calf-year. A complete set of calf records was retrieved from 74 farms with 7,817 newborn calves, including 2,310 calves treated with antimicrobials. Among the total of 7,307 antimicrobial treatments, florfenicol (33%), penicillin (23%), and trimethoprim-sulfamethoxazole (18%) were most used, whereas fluoroquinolones (4%) and ceftiofur (1%) were rarely used. Florfenicol and macrolides (175 DDD/100 calf-years each) were most used with ceftiofur (7.3 DDD/100 calf-years) being the least. Farmers who checked colostrum quality had higher antimicrobial treatments/calf-year than those who did not check the quality. Farmers who did not feed transition milk had higher antimicrobial treatments/calf-year than those who fed transition milk to calves. Most antimicrobial treatments of pre-weaned calves used drugs in categories 2 (high) and 3 (medium) but not very high importance to human medicine.
Keywords: transition milk, heifer","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Tamaki Uyama","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Lessons learned about the organization of a large-scale exercise against African Swine Fever in Switzerland","PresentationBio":null,"Title":"Dr.","FirstName":"Gary","LastName":"Delalay","Position":"","Organization":"Swiss Federal Food Safety and Veterinary Office","PhotoUrl":null,"IsPresentingAuthor":false,"Order":35,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Since African Swine Fever (ASF) was first detected on the European continent in 2007, it has continued to spread. In 2020, ASF was detected for the first time in Germany, where it has sustained since and been isolated both in wild boars and domestic pigs. In 2022, ASF was also detected in wild boars in continental Italy. Therefore, Switzerland decided to test its readiness to react to an ASF outbreak within its borders and organized an exercise involving the veterinary services and other partners of the whole country.

Switzerland had already experience for organizing large-scale exercises of epizootic outbreaks. However, ASF differs from other classical epizootics in a few aspects. ASF is a disease that has a slow spread with sudden, long leaps. It makes the elaboration of scenario for a national exercise involving all the administrative regions at the same time challenging. Furthermore, an ASF outbreak differentiates itself by the fact that wildlife stands in focus. That means that veterinary services have to cooperate with many different services, such as agriculture, environment and hunting departments.

In this presentation, we want to describe the goals that were fixed for the exercise and how the scenario was elaborated to consider them. We also want to present the lessons learned about the planning of such an exercise, involving multiple regions and multiple partners.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["cb344d68-5710-46be-a916-dd122f96ab66","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gary Delalay","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Recommendations and implications from a retrospective study of the Fiji BTEC program. What does this mean for the future?","PresentationBio":null,"Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":36,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Bovine tuberculosis, dairy cattle, disease control, BTEC
Objective:
Based on the findings of the 2015-2020 retrospective study
•\tTo identify risk factors for bTB in Fiji dairy farms
•\tTo provide recommendations and describe their implications for improvement of the Bovine Tuberculosis Eradication and Control program (BTEC).
Methods:
Retrospective study results and operational procedures were evaluated to identify factors contributing to bTB transmission and maintenance, leading to recommendations and improvements to BTEC strategy.
Results:
Several improvements to the BTEC program occurred from 2015 to 2020. These included the establishment of the national web-database Bovibase enabling recording of data on BTEC activities with better identification and follow up of participating farms and animals, recording of untested and missing animals, and stringent farm bTB status classification. In collaboration with other agencies, there were improvements to farmer compensation and a reduction of animal movements from infected farms.
However, the retrospective study showed that bTB prevalence is not decreasing in dairy farms. The main contributors to this were large farms retaining older animals, the movement of animals from bTB infected or restricted farms to other locations and incomplete testing.
Thus, our recommendations are to continue close monitoring of large farms and investigate farm management practices to understand reasons for high bTB prevalence; to stop movements from infected farms; to address reasons for incomplete testing; to find practical and sustainable sources for restocking; to continue the consistent use of Bovibase; and, to enhance Bovibase for efficient data analysis and reporting.
Conclusions:
The BTEC program needs improvement to ensure achieve better bTB control in coming years. The factors contributing to bTB persistence in dairy farms must be targeted, with government policy and industry support needed for more farms to achieve and/or maintain a bTB clear status.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["978aef2c-117a-4e1c-b105-03f159c579de","512e7a65-c837-49ce-8f06-827e25887293","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Jenny-Ann Toribio","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Performance analysis of a machine learning classifier to predict metritis events in dairy cattle using nowcasting and forecasting frameworks.","PresentationBio":null,"Title":"Dr.","FirstName":"Gema","LastName":"Vidal","Position":"","Organization":"National Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":37,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In dairy farms, the use of sensors to monitor animal behavior has been increasing. However, the impact of data pre-processing and number of behaviors needed to predict metritis events have been understudied. Our objectives were 1) to compare model performance at different levels of sensor data aggregation; 2) to compare model performance when multiple behaviors were combined into one model; and 3) to compare model performance under nowcasting and forecasting frameworks.
Data from 239 metritis events were retrospectively selected from a dataset containing sensor and clinical data from 138 lactating cows during the first 21 days postpartum. Data had been collected at University of Kentucky Coldstream Dairy from June 2014 to May 2017. Sensor data registered by an ear- and leg-attached 3-axis accelerometers were used. Sensor data corresponding to 72 hours prior to each metritis event were aggregated using 12-, 6-, and 3-hour time windows. Under forecasting framework, same models were fitted using sensor data corresponding to 25 - 72 hours prior to each metritis event. Random forest (RF) was trained on sensor data to predict metritis events. Five-fold cross-validation precision, recall, and F1 score were used to evaluate RF performance.
Model performance ranged between 61% - 100% precision, 59.5% - 97.5% recall, and 60.2% - 100% F1 score, depending on the device, time window, and number of behaviors used to train the model. Furthermore, model performance did not improve when multiple behaviors registered by two different devices were combined. Lastly, forecasting models had a level of performance comparable to those resulted from nowcasting models.
In conclusion, pre-processing of sensor data had a great impact on RF performance. With the use of farm-specific data pre-processing strategies, RF can be used on sensor data to predict metritis events 2 to 3 days earlier compared to traditional diagnostic methods.

Keywords: data pre-processing","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gema Vidal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Participatory approach in animal health: when veterinarians adopt a facilitator posture","PresentationBio":null,"Title":"Dr.","FirstName":"Mily","LastName":"Leblanc-Maridor","Position":"Lecturer-researcher","Organization":"Inrae, Oniris","PhotoUrl":null,"IsPresentingAuthor":false,"Order":38,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1.\tObjective
Veterinarians are identified by livestock farmers as major advisors regarding health management, even though animal health depends on many factors on which other agricultural counselors can interfere. Their scientific knowledge often prompts them to adopt an expert posture whereas livestock farmers also are in demand of discussions about practices.
Within a European research program on animal health in ruminants and monogastric sectors conducted in western France, an experiment was launched to test the utility of livestock farmers meetings facilitated by vets.
2.\tMaterials and methods
Vets were previously trained on facilitation methods before organizing by themselves meetings on animal health with their clientele, whose topics were either chosen by them or the farmers. Each meeting was assessed by three methods: i) meeting’s observation, ii) a questionnaire form proposed right after the session, and iii) semi-directed interviews performed later on by the research team. Our analysis material encompasses 7 meetings, attended by 23 livestock farmers and 8 vets.
3.\tResults
Four types of meetings appear, from mostly participatory ones to meetings with a significant amount of top-down information times. The vet’s initial motivations impacted both the farmers’ recruitment and the meeting program. The posture of expert-facilitator contributed to a group dynamic based on a horizontality of exchanges, enabling cooperative learning. Besides, since they knew the participants’ farms, vets were perceived as legitimate in the animation of the meetings, and these ones complementary to their on-farm interventions. This device allowed vets to better understand their livestock farmers’ practices and to reinforce their relationship with them.
4.\tConclusion
The changing posture of veterinarians therefore brings new perspectives for health management, since this original intervention mode both comfort their scientific legitimacy and their ability to understand the farmers' points of view on health practices.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mily Leblanc-Maridor","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"CaDNetASR: An On-farm Surveillance System for Antimicrobial Stewardship and Resistance on Dairy Farms in Canada","PresentationBio":null,"Title":"Dr.","FirstName":"Mariana","LastName":"Fonseca","Position":"PhD Student","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/70c188ca008a484fafb266716cef35a8","IsPresentingAuthor":false,"Order":39,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Canada has implemented an on-farm surveillance system for antimicrobial use (AMU) and antimicrobial resistance (AMR) in the dairy sector (CaDNetASR) to promote antimicrobial stewardship.
The objective was to describe the development and implementation of CaDNetASR.
Material and Methods
An Expert Panel (EP) of researchers from the five Canadian veterinary schools, one human medical school, and the Public Health Agency of Canada was created to develop the surveillance system. The EP initiated a draft framework outlining the essential elements of the surveillance system, which was circulated to a Steering Committee (SC) composed of representatives from provincial milk boards, veterinary organizations, and members of the EP. The EP used the recommendations of the SC to start implementing the framework, recognizing the need for refinement in future years. CaDNetASR has the following components: 1) AMU quantification; 2) risk factor questionnaires; and 3) methods for detection of AMR in three enteric bacteria (generic Escherichia coli, Campylobacter spp., and Salmonella spp.) recovered from pre-weaned calves, heifers, cows and the manure storage. A cloud base digital platform was created to store data.
Results
The CaDNetASR enrolled 144 sentinel farms, in five Canadian provinces (British Columbia, Alberta, Ontario, Quebec and Nova Scotia), and in September 2019, the surveillance system was initiated. In 2019 and 2020, 97% and 94% of samples were positive for E. coli, 64%, and 49% of samples were positive for Campylobacter spp., and 5.0% and 7.7% of samples were positive for Salmonella spp., respectively.
Conclusions
The CaDNetASR will provide benchmarking metrics regarding AMU practices, AMR, and animal health and help enhance antimicrobial stewardship practices on Canadian dairy farms. In the future, CaDNetASR will be incorporated into CIPARS, (Canadian Integrated Program for Antimicrobial Resistance and Surveillance) a national program that monitors trends in AMU and AMR in multiple species, including humans, in Canada.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mariana Fonseca","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Economic perspectives on blanket and selective dry cow therapy","PresentationBio":null,"Title":"Mrs.","FirstName":"Riitta","LastName":"Niemi","Position":"PhD Student","Organization":"University of Helsinki","PhotoUrl":null,"IsPresentingAuthor":false,"Order":40,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Dry cow therapy (DCT) is an efficient and widely used measure to control intramammary infections (IMI) in dairy herds. On a blanket-DCT practice (BDCT), all cows receive antibiotics at dry-off. On a selective-DCT practice (SDCT), treatments are targeted only at infected cows. Our objective was to compare the cost-effectiveness of SDCT and BDCT, considering the risk of IMI and uncertainty related to inputs and outputs of milk production.

Because a DCT practice affects both revenue and costs, a margin calculation is a useful method. We built a stochastic calculation model to show a margin for costs that are equal in both DCT policies. Data for modeling were generated by running 100,000 Monte Carlo simulations. The value of fixed variables, parameters for the distribution of stochastic variables, and probabilities for receiving DCT at dry-off or for acquiring IMI after calving were extracted from the literature and official statistics. In a sensitivity analysis, we tested effects of diverse IMI probabilities. Results indicated the annual margin per cow in both SDCT and BDCT herds.

Within a same herd size and milking system, the distribution of the margin in BDCT herds deviated from that of SDCT herds with the difference in median being €23─€29 per cow (1%) in favor of BDCT. If SDCT herds could reduce their current risk of post-calving IMI from 0.24 to 0.20 and BDCT herds would have their current risk of 0.18, an equal difference would be in favor of SDCT.

Antimicrobial resistance is a serious global concern that emphasizes non-antibiotic IMI prevention. Financial differences between SDCT and BDCT are minimal and, therefore, the focus in decision-making should be on the health status of the herd. SDCT is a competitive management practice, especially in herds succeeding to keep their IMI risk low.

Keywords: mastitis, dry cow therapy, stochastic analysis, cost-effectiveness
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","d3066121-1fde-4a88-a77e-f435960ef4f2","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Riitta Niemi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluating diagnostic test accuracies of a rapid antigen test and RT-PCR to diagnose Covid-19 by Bayesian latent class models","PresentationBio":null,"Title":"Dr.","FirstName":"Sonja","LastName":"Hartnack","Position":"","Organization":"Vetsuisse Faculty","PhotoUrl":null,"IsPresentingAuthor":false,"Order":41,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
During the COVID-19 pandemic, numerous diagnostic tests, i.e. RT-PCR and rapid antigen tests have been developed. Diagnostic sensitivities and specificities of the rapid antigen tests are often evaluated by comparing them directly with RT-PCR, which is considered the gold standard. Several studies have shown, that the RT-PCR is highly specific, but the diagnostic sensitivity might possibly not reach 100%. Bayesian latent class models (BLCM) are suitable to estimate diagnostic test accuracies in the absence of a gold standard. The aim of our study was to use BLCM to estimate diagnostic test accuracies of samples from 331 individuals which presented themselves for routine surveillance due to different reasons (symptoms and contact to a case, visiting a home for elderly people and a previous positive test result) and for which a RT-PCR and rapid antigen test (NADAL) results were available.

Material and methods
Following a Hui Walter approach with two tests (RT-PCR and rapid antigen) and three populations (different testing reasons), we conducted a BLCM analysis using the package ‘runjags’ in R with MCMC simulations with JAGS. After a burnin of 5000 iterations, three chains, a thinning of 10, the mean [95% credibility intervals] for posterior estimates were based on 30000 iterations. We assumed an informative prior for the specificity of the RT-PCR, otherwise minimally informative beta priors were included and checked for conditional dependencies. Convergence was assessed by inspecting trace plots, Gelman Rubin’s check and the effective sample size.

Results
The resulting sensitivity of the RT-PCR and the rapid antigen test were 95.1 [85.9-100] and 82.3 [71.5-92.6], respectively. The specificities of RT-PCR and the rapid antigen test 98.8 [95.9-100] and 96.1 [92.9-99.0].

Discussion
BLCMs have rarely been applied in the current pandemic, but provide useful information about diagnostic test accuracies, particularly relevant at population level.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Sonja Hartnack","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"CHANGES IN NETWORK CONNECTIVITY IN SOUTHERN CHILEAN HERDS AFTER LIVESTOCK MARKETS ’ (LM) REMOVAL, AND THE ASSOCIATION BETWEEN HERD ATTRIBUTES AND CONTACT CHAIN MEASURES","PresentationBio":null,"Title":"Mr.","FirstName":"Gustavo","LastName":"Monti","Position":"Associate Professor","Organization":"Wageningen Univeristy and Research","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a1daf9ca0af64ca5876cac9ff09018f5","IsPresentingAuthor":false,"Order":42,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background: The influence of LMs on network connectivity in cattle trading network is defined by shortening pathways and connecting nodes that would otherwise be inaccessible. Given their influence, LMs could be made accountable for super-spreading events and should be closely monitored and controlled.
Objective: To describe network properties in cattle trade networks in Chile’s Los Rios Region after LMs removing and seasonal disaggregation.
Materials and methods: A network analysis was performed on 4,849 nodes from the Los Rios Region and 46,558 movements between 01/2016 and 12/2017 using the National Livestock Traceability databases. We evaluated and disaggregated by season 2 networks, a Whole Network (WN) and other Without Markets and their connections (WN-wM). The association between contact chain measurements and variables was investigated using a GLM with binomial distribution over permuted data and a GLM with binomial distribution over network and node-level metrics (herd class, herd location, LM presence alongside contact chain).
Result(s): The connectivity of static networks decreases after LMs are removed, shown by an increase in average shortest path length (ASPL) (from 4.8 to 9.5) and diameter (from 17 to 25). The connectivity improves following seasonal disaggregation, shown by diameter reduction (7-12 for WN and 5-9 for WN-wM) and ASPL reduction (2.3-3.5 for WN and 1.4-1.9 for WN-wM). For node metrics, dairy and beef herds have surpassed LMs as the most dominant nodes. In dairy and mixed herds, high ingoing contact chain (ICC) values are less common than in beef herds. ICC values were predominantly linked to LMs.
Conclusion: Following the removal of LMs and seasonal disaggregation, increased connection appears to be driven by direct herd-to-herd trading, resulting in lower ASPL and diameter. Static network analysis can obscure connection properties that are critical for virus spread. Potential pathogen entrance sites increase when LM is present in a herd’s ICC.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Gustavo Monti","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The impact of commingling of calves of different sources on mortality, morbidity, and performance in a feedlot environment","PresentationBio":null,"Title":"Mr.","FirstName":"Sanjaya","LastName":"Mijar","Position":"","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":43,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Commingling of preconditioned (PC) and auction-derived (AD) calves in the feedlot can hamper PC calves' expected growth and health advantages, hence predisposing the calves to the susceptibility of Bovine Respiratory Disease. Therefore, our objective was to evaluate the impact of optimized preconditioning on mortality, morbidity, and average daily gain (ADG) during the first 40 days in the feedlot when commingled with different proportions of AD calves (25, 50, 75%).
Calves sourced were preconditioned at WA Ranches of the University of Calgary (PC, n=250) and from a local auction market (AD, n=250). Upon arrival at the feedlot, the calves were assigned into 1 of 5 pens: 100% PC, 100% AD, 50%PC 50%AD, 75%PC 25%AD, and 25%PC 75%AD. Morbidities, mortalities, and weights were recorded until day 40. Hair samples from each calf were collected for cortisol detection.
At pen level, the morbidity (63%) was highest in 25PC75AD and the least (21%) in 50C50AD and was significantly different between the pens (p<0.05). There were 3 deaths in 100AD pen and 2 deaths in 25PC75AD pen. The mean ADG in 100AD pen (3.16 lb./day) was significantly higher than rest of the groups (p<0.05). No difference in cortisol concentration was found between best-performing PC calves (n=26, mean=19.26 pg/mg) and least performing AD calves (n=25, mean=19.36 pg/mg) (p>0.05).
Additionally, the effects of the variables (feeding, ruminating, cortisol concentration, commingling proportion) on the calves’ mortality, morbidity, and ADG will be analyzed in Spring 2022. Presumably, commingling has no effect on PC calf performance. However, AD calves performed well in our study.

Keywords: BRD, Preconditioning, Auction-derived, Cortisol, Health performance","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Sanjaya Mijar","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The impact of Removal or Segregation of Cattle with High Proviral Load on Reducing Incidence and Prevalence of Bovine leukosis (BL) in 30 Dairy Herds","PresentationBio":null,"Title":"Mr.","FirstName":"Simon","LastName":"Bourassi","Position":"Phd- Student","Organization":"Atlantic Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/08bb850f15aa4aaca09d7170025ee468","IsPresentingAuthor":false,"Order":44,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Proviral load (PVL) is the number of provirus per infected white blood cell. The level of PVL in BL infected animal differs with cows with higher PVL being more likely to infect BLV naïve cattle. The objective of this study is to evaluate the impact that culling and segregation of cows with high PVL has on reducing the prevalence and incidence of BLV in dairy herds in the Maritimes of Canada.
Materials and methods
In 2021, 30 herds from the three Maritime provinces were enrolled in this study. True-prevalence in each herd was calculated by individual BLV-ELISA test in milk or blood for lactating and dry cows, and bred heifers. For each BLV-positive cow their PVL level was determined using a qPCR assay. Incidence and prevalence is compared every year to determine the impact of culling and/or segregation of cows with high-PVL.
Results
The baseline within-herd prevalence of BLV ranged from 19% to 89% and the population at risk was identified and retested in the second year to determine the incidence risk. A total 473 out of 4025 cows were classified as high-PVL (PVL > 1 viral copy/ wbc). The percentage of high, moderate, low, and undetected-PVL were 36.7%, 11.7%, 29.1% and 22.5%, respectively. Herds with proportion of high-PVL less than 15% are culling most of the high-PVL cows and herds with proportion more than 15 % are culling some and segregating the others. Overall, half of high-PVL cows were culled, 16% were segregated from negative cows and only 34% were left within the herds.
Conclusion
About 1/3 of BLV positive cows had a high-PVL in the first year. Focusing culling or segregation decisions on this group will likely be more economically feasible in reducing the incidence and controlling BLV.
Keywords : Bovine-leukosis, proviral-load, prevalence , incidence
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Simon Bourassi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Developing a National Bovine Tuberculosis Epidemiology Team ","PresentationBio":null,"Title":"Ms.","FirstName":"Rachelle","LastName":"Avigad","Position":"","Organization":"APHA","PhotoUrl":null,"IsPresentingAuthor":false,"Order":46,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The importance of epidemiology in tackling disease outbreaks is widely recognised in both animal and public health settings. In Great Britain (GB), a government-led National Emergency Epidemiology Group responds to outbreaks of exotic notifiable disease in animals. This virtual team seeks to understand and advise on the source and spread of disease as well as inform the selection and implementation of control strategies. This work describes the process of setting up a similar group for an endemic notifiable disease in animals, bovine tuberculosis (bTB).

Materials and Methods
The first step was to identify the key participants of such a group. There are many elements to epidemiological investigation, analysis and interpretation for provision of advice. These include quantitative epidemiology, surveillance, modelling, data science, geographical information systems and field epidemiology activities. Representatives from these fields were identified and invited to join from across the GB administrations.

Objectives of the group were then formulated considering the national bTB control policies and utilising the diverse expertise and knowledge of the team. These included:
•Review of the current suite of epidemiological reports
•Epidemiological input to the use of whole genome sequencing in understanding transmission pathways
•Input to the evaluation of surveillance and control strategies
•Knowledge transfer and communication of epidemiological activities.

Results
Meetings were initially held monthly and then reduced to bi-monthly. A set but evolving agenda included review of top challenges and updates on current activities. Recent additions include an agenda item on emerging epidemiological findings and a focus topic for discussion. Scientific project management support was critical for communication across the group.

Conclusion
The team has completed its second year in operation. Achievements identified so far include improvements to the coherence and content of epidemiological reports and closer working between analytical epidemiology and field colleagues on requests for policy advice.

Keywords:disease control","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","978aef2c-117a-4e1c-b105-03f159c579de","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","02f86f29-9eae-4d8d-b937-84e31f38e74d","df5d618c-3702-4d9c-95b6-0ad39c8b6184","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Rachelle Avigad","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"One size does not fit all: Simulating the economic and non-economic impact of on-farm biosecurity for BVDV in Australian beef production. ","PresentationBio":null,"Title":"Dr.","FirstName":"Jake","LastName":"Fountain","Position":"Phd Candidate","Organization":"Charles Sturt University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":47,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"On-farm biosecurity plays a crucial role in the control of endemic disease and is Australia’s last line for defence against an exotic animal disease incursion. This study uses a recently published stochastic disease simulation model of bovine viral diarrhoea virus (BVDV) to examine the economic and non-economic value of 23 on-farm biosecurity combinations for the control of BVDV in Australian beef farms without (N0) and with (N1) a neighbouring population of PI animals.

BVDV introduction into a single-calving, self-replacing beef herd of 300 breeders was simulated through purchased bulls and neighbouring farms. The economic cost-benefit of each control measure was determined using annual gross margins collected over a 15-year period. The number of infected animals was also used to measure the impact on animal welfare, while the sale of persistently infected (PI) animals was used to represent the impact of biosecurity combinations further down the beef supply chain.

The model recorded a 15-year total cumulative loss of median AUD$172/breeder and AUD$453/breeder when BVDV was uncontrolled in an N0 and N1 herd, respectively. Quarantine of introduced cattle (N0) and quarantine + double-fencing farm boundaries with neighbouring cattle (N1) were the most cost-effective combinations while BVDV-free. Once BVDV was established in the herd, strategic PI exposure (N0) and quarantine + vaccination against BVDV (N1) were the most cost-effective combinations in the first five years of a BVDV outbreak. Vaccination (N0) and double fencing (N1) were responsible for the greatest reduction in infected animals and PI animals sold to other farms.

Maintaining a BVDV-free herd was found to be the most effective way to reduce the cost of disease and preserve the welfare of beef cattle in Australia. The ideal approach to BVDV prevention is dependent on introduction risk, as well as the priorities and values of the individual producer.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","d3066121-1fde-4a88-a77e-f435960ef4f2","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jake-fountain-351531221","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jake-fountain-351531221","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jake-fountain-351531221","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/jake-fountain-351531221","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jake Fountain","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Housing and outdoor access practices in the Canadian dairy industry ","PresentationBio":null,"Title":"Ms.","FirstName":"Anne-Marieke","LastName":"Smid","Position":"Postdoctoral Scholar","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":49,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Dairy cows are highly motivated to access pasture and show a partial preference for alternative forms of outdoor access such deep-bedded packs. The public in many parts of the world favours outdoor access for dairy cattle as they perceive outdoor access as important for good cow welfare. In contrast to Europe, Oceania, and the USA, little data exist on the use of outdoor access on Canadian dairy farms. Therefore, the aim of this study was to assess current outdoor access practices for dairy cows in Canada.

An online questionnaire was used to conduct a cross-sectional study of housing and outdoor access practices on Canadian dairy farms. The questionnaire was distributed by the 10 provincial milk boards between November 2020 and August 2021, resulting in an 8.9% response rate (n=903 completed questionnaires). The questionnaire contained 10 demographic questions and 4 multiple-choice questions. Participating farmers providing outdoor access were asked an additional 6 multiple choice questions per cow class that they provided outdoor access to.

With regard to lactating cows, a total 33.2% (n=300) of respondents provided pasture access to this cow class on their farms. Farms with larger herd sizes were less likely to provide lactating cows access to pasture (P<0.001); farms in the West and East coasts areas of Canada were more likely to provide lactating cows pasture compared to farms in other regions (P<0.001). Farms with free stall housing for their lactating cows were less likely to provide pasture to their lactating cows than farms with tie stall or pack housing (P=0.003).

Lactating herd size, region, and housing system were associated with the provision of pasture to lactating cows. Our results are important in informing future decisions regarding outdoor access for dairy cows in the Canadian dairy industry.

Key Words: Dairy cattle, outdoor access, survey, housing, outdoor areas","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","cb344d68-5710-46be-a916-dd122f96ab66","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","02f86f29-9eae-4d8d-b937-84e31f38e74d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Anne-Marieke Smid","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Region-wise analysis of dairy and beef cow movements in Japan","PresentationBio":null,"Title":"Mr.","FirstName":"Yoshinori","LastName":"Murato","Position":"","Organization":"National Agriculture And Food Research Organization","PhotoUrl":null,"IsPresentingAuthor":false,"Order":50,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives
The movement of animals is an important factor in transmitting infectious diseases among farms. This information is essential for predicting the spread of the disease and developing effective disease control measures. In Japan, all cattle movement is recorded in the national database. In this study, we analyzed between-farm movements of dairy and beef cows in Japan at the regional level to elucidate the differences in cow type, region, season, etc.

2. Materials and methods
For dairy cows, 4,577,709 between-farm movement data over 14 years from FY2005 (FY stands for the Japanese fiscal year, which starts April 1 and ends March 31 of the following year) to FY2018, and for beef cows, 2,173,969 between-farm movement data over 13 years from FY2005 to FY2017, along with information on the respective cattle and facilities, were obtained from the National Livestock Breeding Center. After connecting　information on cattle and facilities to each movement, the number of movements was analyzed as an intra- and inter-regional basis by dividing the national territory into seven regions.

3. Results
Intra-regional movement accounted for 82% and 91% of all movements of dairy and beef cows, respectively. For intra-regional movement, seasonal roundtrips associated with summer grazing beginning in May until October were observed in northern Japan such as Hokkaido and Tohoku in both dairy and beef cows. Regarding inter-regional movement, roundtrips of dairy cows to cattle-breeding ranches in Hokkaido were observed. Meanwhile, such movement was not observed in beef cows.

4. Conclusion
The study revealed seasonal and regional heterogeneity in cattle movements patterns, which may be reflecting the country widely distributed north to south and has a variety of climates. Understanding the characteristics of such movements will help develop more reliable disease transmission models and effective disease control measures.

Keywords: cattle movement, dairy, beef, Japan","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Yoshinori Murato","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Test validation of matrix-assisted laser desorption/ionization time of flight mass spectrometry for the identification of Yersinia ruckeri isolated from Atlantic salmon","PresentationBio":null,"Title":"Mr.","FirstName":"Krishna","LastName":"Thakur","Position":"Assistant Professor","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f785b4632c5f406e8cee6fa29a456b7f","IsPresentingAuthor":false,"Order":51,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) allows rapid and reliable identification of microorganisms. This study aimed to validate the use of the MALDI-TOF MS to identify Yersinia ruckeri from salmonids aquaculture.

Materials and methods: The main spectral profile (MSP) was created using a 16S ribosomal RNA gene-sequenced Y. ruckeri isolate (n=1) from Atlantic salmon, while a total of fifteen isolates of Y. ruckeri from the Atlantic salmon (Salmo salar) (n=12), American eel (Anguilla rostrate) (n=1), and Atlantic cod (Gadus morhua) (n=2) were selected from the culture collection of the Atlantic Veterinary College, Aquatic Diagnostic Services Bacteriology Laboratory (AVC ADSBL) and were used for the validation phase of the MALDI-TOF MS.

Results: The MSP created identified all the Y. ruckeri isolates from Atlantic salmon and Atlantic cod with Real Time (RT) identification score above 2.000 but could not determine Y. ruckeri isolated from the American eel. The sensitivity of MALDI-TOF MS in identifying Y. ruckeri from these fish species was 93.3% (14 isolates were identified correctly out of 15 evaluated).

Conclusion: MALDI-TOF MS can be used to efficiently and quickly identify Y. ruckeri isolates from Atlantic salmon samples. Early detection of Y. ruckeri can assist in the management of outbreak of the enteric redmouth disease in salmonids aquaculture.

Keywords: MALDI-TOF MS, Y. ruckeri, salmonids, aquaculture, validation
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Krishna Thakur","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Expert Opinion on the Effectiveness, Practicability, and Sustainability of Potential Biosecurity Measures on Pig Farms in Hong Kong","PresentationBio":null,"Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7399650c1a0c4da0a3acc11bbbb5be70","IsPresentingAuthor":false,"Order":51,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To assess expert opinions on the effectiveness, practicability, and sustainability of potential biosecurity measures recommended for the semi-intensive pig farms in Hong Kong.

Method: A total of 67 biosecurity measures listed on FAO guidelines to prevent African swine fever in smallholder farms were used. The measures were classified into eight sections: Introduction of New Pigs; Feed and Water; Bedding; Vehicles and Equipment; Deliveries and Supplies; Personnel and Training; Wildlife, Insects, and Hunting; and Manure Management. Five local experts (four veterinarians and one veterinary assistant working with pig farmers in Hong Kong) filled a questionnaire scoring each of the measures using the Likert Scale (1 - 5). Six key performance indicators were used to explain the effectiveness (measure impact and persistence in reducing risk), practicability (implementation speed and cost), and sustainability (potential to disrupt production and stakeholder acceptance).

Results: Overall, experts believed measures related to the eight sections could be highly efficient in preventing the risk of disease introduction and spread (median score ≥4) except measure for preventing rodents from accessing stored food (median score: 3.5), limiting feed spillage (median=3.5), and keeping away poultry and livestock from pig pens (median=3). As for practicability and sustainability, the median of all scores per section was high only for the measures related to the introduction of new pigs (median=4) and feeding and water (median=4), respectively. Among the single measures, only three measures: “demarcating areas for vehicles and equipment cleaning”, “controlling personal traffic”, and “ensuring appropriate dressing and washing protocols for workers before entering farms” had the highest median score difference between efficiency (median=5) and sustainability (median=2.5).

Conclusion: Our study provides the foundation information to improve current biosecurity measure recommendation and develop practical strategies tailored to the needs of semi-intensive pig farmers in Hong Kong.
Keywords: Biosecurity, expert opinion, pig farm, Hong Kong, semi-intensive
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Anne Conan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Determinants of antimicrobial resistance patterns in bovine mastitis Streptococcus isolates from Canadian dairy herds","PresentationBio":null,"Title":"Mr.","FirstName":"Benjamin","LastName":"Caddey","Position":"PhD Student","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":52,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction and Objectives:
The emergence and spread of antimicrobial resistance (AMR) is a global burden that threatens animal, human, and environmental health. The development of AMR in livestock production industries produces a serious risk towards our food security. In Canadian dairy herds, intramammary infections causing clinical and subclinical mastitis are the most common reason for antimicrobial use (AMU). Streptococcus spp. are among the most important groups of bacteria causing clinical mastitis worldwide, and unnecessary use of critically important antimicrobial drug classes against these pathogens may further the risk of a high AMR prevalence. Therefore, we aim to investigate the molecular epidemiology of Streptococcus spp. in Canada, including determining the prevalence and risk factors of AMR.

Methods:
Whole-genome sequencing (WGS) of approximately 1000 bovine mastitis Streptococcus isolates from the Mastitis Pathogen Culture Collection of the Canadian Bovine Mastitis and Milk Quality Research Network will provide deep insight into determinant genes and mechanisms of AMR, and allow for phylogenetic analysis for species- and strain-level comparisons. Phenotypic AMR will also be explored by broth microdilution against 20 antimicrobials commonly administered in livestock and human medicine. Risk factors for phenotypic AMR prevalence and multidrug resistance will be explored against AMU rates, route of antimicrobial administration, Streptococcus WGS information, and herd-level farm and production parameters. Phenotypic and genotypic analyses are currently being performed.

Conclusion:
As the dairy industry is pushed towards more stringent antimicrobial stewardship practices, changes to policy regulations and herd management practices must be drawn from comprehensive research. Correspondingly, the data to be presented from this surveillance of Streptococcus mastitis isolates will uncover the magnitude of AMR levels across Canada, and will provide intense understanding of AMR determinants and risk factors for researchers and dairy industry professionals alike.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Benjamin Caddey","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A survey of practices and attitudes around cull cow management by bovine veterinarians in Ontario","PresentationBio":null,"Title":"Ms.","FirstName":"Joanne","LastName":"Marshall","Position":"Msc Student","Organization":"Ontario Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9cf42e359ce34573b8f6b4c3db38e87f","IsPresentingAuthor":false,"Order":53,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The removal of dairy cows from the farm is a regular and required management practice referred to as culling. The objectives of this study were to describe the involvement of Ontario bovine veterinarians in dairy cull cow management decisions, their expectations of current producer practices, and their perspectives on welfare issues and best management practices for cull dairy cows.
Between February and May 2021, a province-wide survey was conducted among members of the Ontario Association of Bovine Practitioners (OABP), with questions addressing veterinarians’ background and demographics, veterinary clinic characteristics, cull cow management, down cow management, and learning preferences.
The response rate for the survey was 25.1% with 45 responses meeting all eligibility criteria. Dairy veterinarians would like to have greater involvement in cull cow management; when asked about their desired involvement in culling decisions, 57.5% of veterinarians reported that they would like to be involved in culling decisions most of the time or always. Most (70.0%) veterinarians believed that cull cow welfare has improved over the last decade. However, most respondents also identified at least one area of the journey of a cull cow (I.e., farm of origin, transportation, auction, slaughter) as currently being a high risk to cull cow welfare. Given the frequency of their visits, trust by dairy producers, and knowledge, herd veterinarians are among those in the best position to improve the care of cull dairy cows.
Information generated from this survey can be used to inform the development of improved decision-making tools for culling cows, and this, along with increased veterinary involvement in cull cow management, could improve the economic and welfare outcomes of culling decisions for dairy producers.

Keywords: culling, fitness for transport, compromised cow, cull cow, animal welfare ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","3c19c60b-bf2c-4701-b93e-3b18208e3913","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/comm/in/joanne-marshall-bb14851a9?midToken=AQHpnRYVRg01UQ&midSig=2Pdm3fivxw4qo1&trk=eml-email_jobs_saved_job_reminder_01-header-39-profile&trkEmail=eml-email_jobs_saved_job_reminder_01-header-39-profile-null-di13zp%7El6fdvjay%7Efk-null-neptune%2Fprofile%7Evanity%2Eview&lipi=urn%3Ali%3Apage%3Aemail_email_jobs_saved_job_reminder_01%3Bua6oIgm9QG6zylaLkL10QQ%3D%3D","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/comm/in/joanne-marshall-bb14851a9?midToken=AQHpnRYVRg01UQ&midSig=2Pdm3fivxw4qo1&trk=eml-email_jobs_saved_job_reminder_01-header-39-profile&trkEmail=eml-email_jobs_saved_job_reminder_01-header-39-profile-null-di13zp%7El6fdvjay%7Efk-null-neptune%2Fprofile%7Evanity%2Eview&lipi=urn%3Ali%3Apage%3Aemail_email_jobs_saved_job_reminder_01%3Bua6oIgm9QG6zylaLkL10QQ%3D%3D","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/comm/in/joanne-marshall-bb14851a9?midToken=AQHpnRYVRg01UQ&midSig=2Pdm3fivxw4qo1&trk=eml-email_jobs_saved_job_reminder_01-header-39-profile&trkEmail=eml-email_jobs_saved_job_reminder_01-header-39-profile-null-di13zp%7El6fdvjay%7Efk-null-neptune%2Fprofile%7Evanity%2Eview&lipi=urn%3Ali%3Apage%3Aemail_email_jobs_saved_job_reminder_01%3Bua6oIgm9QG6zylaLkL10QQ%3D%3D","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/comm/in/joanne-marshall-bb14851a9?midToken=AQHpnRYVRg01UQ&midSig=2Pdm3fivxw4qo1&trk=eml-email_jobs_saved_job_reminder_01-header-39-profile&trkEmail=eml-email_jobs_saved_job_reminder_01-header-39-profile-null-di13zp%7El6fdvjay%7Efk-null-neptune%2Fprofile%7Evanity%2Eview&lipi=urn%3Ali%3Apage%3Aemail_email_jobs_saved_job_reminder_01%3Bua6oIgm9QG6zylaLkL10QQ%3D%3D","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Joanne Marshall","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The quantification of cattle movement in the Bushbuckridge Local Municipality, Mpumalanga, and implications for trade and disease control","PresentationBio":null,"Title":"Dr.","FirstName":"Oonagh","LastName":"Pretorius","Position":"PhD Student","Organization":"University of California","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/80a81c02c3244dbc93984cae49b1c2a8","IsPresentingAuthor":false,"Order":54,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In the Bushbuckridge Local Municipality (BLM), Mpumalanga, South Africa, the size and economic importance of the local cattle trade has been considered negligible by policy-makers, resulting in little support for development. Due to movement restrictions associated with foot-and-mouth disease (FMD) control, opportunities for cattle farmers to access formal markets remain limited. Cattle movements and their implications for trade, market access, disease control and local economic development (LED) have remained unanalysed variables.
Objectives:
Objectives of the study were to describe the movement activity of cattle; estimate the level of the informal and formal cattle trade; and to determine the impact of an FMD outbreak-induced movement standstill on the local cattle industry.
Materials and methods:
Movement permits and monthly cattle registers were used to analyse demographic, movement and trade activity in the area over a four-year period (May 2015 - April 2019).
Results:
The population fluctuated around 77 166 head-of-cattle, distributed among 9739 emerging rural livestock farmers. The proportion of animals/products moved ranged between 3.1 and 7.2 percent (0.04 ± 0.02). Movements were found to be highly seasonal (p < 0.001) with the ‘cool dry’ season (April-July) being the most active. The vast majority of trade was informal and did not leave Bushbuckridge. Farmers moved animals and products much further to access formal markets (p < 0.001).
The FMD outbreak of 2017 did not prove detrimental to the local cattle industry in the medium term. However, distinct changes to overall herd dynamics were noted, with small-scale farmers most severely affected.
Conclusion:
Key constraints to marketability of animals/products originating in the BLM were identified as the absence of a competitive market system and associated infrastructure, such as FMD designated abattoirs; disease control regulations; and seasonality of offtakes. Growing established local markets is likely the best way to assist in LED and poverty reduction.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Oonagh Pretorius","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessment of Genetic diversity of Brucella abortus and Brucella melitensis in Thailand with Multiple-Locus Variable-Number Tandem-Repeat Analysis","PresentationBio":null,"Title":"Dr.","FirstName":"Pipat","LastName":"Arunvipas","Position":"Associate Professor","Organization":"Kasetsart University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9f38c178e6b54ab590e4f58bedaf810c","IsPresentingAuthor":false,"Order":54,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The aim of this study was to assess genetic diversity of Brucella abortus and Brucella melitensis isolated from human and cattle in Thailand using a Multiple-Locus Variable-Number Tandem-Repeat Analysis (MLVA)-16 assay.

The study was a retrospective investigation of isolated Brucella abortus and Brucella melitensis collected from 1995-2018. The study protocol was approved by the Ethics Committees of Kasetsart University. A total of 91 strains were recovered from cattle, sheep and goat and 22 patients. The Brucella strains were isolated and biotypes using standard procedures as the control. Species-level identification was undertaken using Bruce multiplex PCR. Brucella MLVA-16 genotyping Scheme MLVA was performed using 16 primer pairs which were divided into three groups: Panel 1, panel 2A, and panel 2B. PCR products for the 16 loci were denatured and resolved by Analysis of MLVA. Resultant genotypes were compared based on Brucella 2012 MLVA database.

B. abortus isolate diversity was confirmed with the high discriminatory power of the MLVA-16. Panel identification and distribution of Brucella strain. B. abortus were identified as B. abortus bv.3 (58.1%), B. abortus bv.6 (30.6%), and B. abortus bv.1 (11.3%). In sheep and goat, B. melitensis bv.3 were dominated (82.8%), and B. melitensis bv.1 (17.2%). Most human samples were B. melitensis bv. 3 (86.4.%), whereas the others were B. melitensis bv.1 (13.6%). Cluster analysis revealed that genotype of Brucella abortus strains in Thailand were distinct from the strains reported from other Asian countries.

The MLVA-16 strategy was worth using to analyze genetic diversity of Brucella abortus and Brucella melitensis isolated from human and cattle. It was useful to track the geographic origin by comparison of genetic patterns with international isolations.

Keywords: Genetic diversity, Brucella abortus, Brucella melitensis, Multiple-Locus Variable-Number Tandem-Repeat Analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","fad4e092-eee7-46ed-b4a6-a335b0f641b7","02f86f29-9eae-4d8d-b937-84e31f38e74d","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Pipat Arunvipas","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Confirmation of the absence of Coxiella burnetii in Australian commercial dairy goat herds","PresentationBio":null,"Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Organization":"University of Melbourne","PhotoUrl":null,"IsPresentingAuthor":false,"Order":55,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
We used scenario tree methods to determine how different disease detection methods might be used to provide quantitative evidence that Australian dairy goat herds are free of coxiellosis.

Materials and methods
The purpose of a fit-for-purpose C. burnetii surveillance system is to identify evidence of the presence of antigen as well as evidence of an immune response to C. burnetii infection. Our case definition was at least one doe in a dairy goat herd showing evidence of either active or past C. burnetii infection using three candidate surveillance system components (SSCs): (1) testing of bulk tank milk using a C. burnetii ELISA; (2) testing of individual does using the com1 PCR; and (3) laboratory investigations of abortions and stillborn kids submitted to a diagnostic laboratory.

Results
Of the seven candidate surveillance strategies (combinations of the SSCs listed above) individual doe and BTM testing combined returned the highest surveillance system sensitivity of 0.32. Assuming a 0.50 prior probability of disease freedom we estimate that monthly BTM combined with 6-monthly individual doe PCR testing returned a 95% confidence that C. burnetii was absent following 40 months of testing.

Conclusions
Selection of the most efficient combination of surveillance system components requires a good understanding of initial herd C. burnetii status and the probability of introduction of infection and how this may change over time. Scenario tree analyses results have provided insight into key determinants of disease detection ability.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Mark Stevenson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Detection of Varroa destructor in honeybee colonies in non-endemic areas","PresentationBio":null,"Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Organization":"University of Melbourne","PhotoUrl":null,"IsPresentingAuthor":false,"Order":56,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The aim of this study was to use scenario tree methods to estimate the surveillance system sensitivity of the ‘Sugar Shake Program’ for detecting Varroa destructor in Australian honeybee colonies.

Materials and methods
The population at risk was both managed and feral honeybee colonies in the Melbourne Metropolitan (Victoria, Australia) area. Our case definition was a honeybee colony infested with Varroa destructor and the detection process was the observation of at least one Varroa mite within a colony.

The apiary-level design prevalence was set to 1 in 23,300 (4.3 per 100,000 apiaries). The within-apiary colony design prevalence for apiaries that were Varroa-positive was set to 0.80 and the diagnostic sensitivity of the sugar shake method assumed to be 0.65.

All beekeepers were eligible to take part in the Sugar Shake Team program, with around 200 colonies (one from each apiary) tested per round in the Melbourne Metropolitan area. Testing was not carried out in feral colonies.

Results
The probability of detecting Varroa after a single round of testing using the current Sugar Shake Team testing program was 0.40%. Even with 500 apiaries tested and assuming a relatively high design prevalence of 67 Varroa-positive apiaries per 100,000 (equivalent to 20 infested colonies in the Melbourne Metropolitan area) the probability of selecting an infested colony after a single round of Sugar Shake Team testing was only 14.6%.

Conclusions
The Sugar Shake Team testing program is not fit for purpose as a means for early detection of Varroa destructor incursions into Australia.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Mark Stevenson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Foot-and-mouth disease virus surveillance at markets and abattoirs in Cameroon using environmental sampling","PresentationBio":null,"Title":"Dr.","FirstName":"Georgina","LastName":"Limon","Position":"","Organization":"The Pirbright Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":57,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Key words: Foot-and-mouth disease, surveillance, environmental sampling

Objective:
Active monitoring and understanding the epidemiology of foot-and-mouth disease virus (FMDV) form the foundations of control programmes in endemic areas. In many endemic areas, however, veterinary resources are limited, resulting in a requirement for simple sampling techniques to increase and supplement surveillance efforts. In this project, environmental sampling was used at livestock markets and abattoirs across Cameroon to assess the opportunities for broad scale disease surveillance at such sites.

Materials and methods:
Environmental sampling methods for the detection of FMDV were used at cattle markets and abattoirs from six locations across Cameroon. A total of 1994 samples were collected, stored in lysis buffer and transported to The Pirbright Institute (UK). The samples were tested for the presence of FMDV RNA using a panserotype FMDV specific rRT-PCR assay. A subset of samples (n=24) positive for FMDV were also analysed using a probe enrichment-based sequencing method.

Results:
8% (n=173) of samples were positive for FMDV RNA, with the majority of positive samples deriving from two sampling locations (Douala, n=86/332 and Bertoua, n=79/332). Sequence data was generated from the VP1-encoding region of the FMDV genome (n=11/24), enabling characterisation of serotypes and strains present in the samples.

Conclusions:
Environmental sampling provides a simple, non-invasive method for the detection of FMDV that avoids individual handling of livestock. Sampling at markets and abattoirs that are hubs for livestock movements presents an opportunity for broad scale surveillance of livestock diseases, not only FMDV but other transboundary diseases that are the subject of control and eradication programmes. The data presented here show that with advances in sequencing protocols, such as the incorporation of probe-based library enrichment steps, viruses found in environmental samples can be characterised at a finer level to provide valuable epidemiological data for surveillance and eradication programmes.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","84b4edb4-71ea-4d85-9aa9-c6aaea9282ae"],"SocialMedia":{"_twitterHandle":"g_limonv","_facebookUrl":"","_linkedInUrl":"uk.linkedin.com/in/georgina-limon-32b3ab40","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"g_limonv","FacebookUrl":"","LinkedInUrl":"uk.linkedin.com/in/georgina-limon-32b3ab40","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=g_limonv","FullFacebookUrl":"","FullLinkedInUrl":"http://uk.linkedin.com/in/georgina-limon-32b3ab40","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=g_limonv","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://uk.linkedin.com/in/georgina-limon-32b3ab40","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Georgina Limon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bayesian latent class analysis to estimate the optimal cut-off for the IDVet ELISA for the detection of Mycoplasma bovis antibodies in bulk tank milk in New Zealand.","PresentationBio":null,"Title":"Mrs.","FirstName":"Merennage Ayesha","LastName":"Salgadu","Position":"PhD student","Organization":"University of Melbourne","PhotoUrl":null,"IsPresentingAuthor":false,"Order":58,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords
Bulk tank milk, New Zealand, IDVet ELISA, Bayesian latent class analysis, cut-off

Objectives
New Zealand’s Mycoplasma bovis background bulk tank milk surveillance screens dairy herds for infection with M. bovis as part of the national M. bovis Eradication Programme. This study evaluated the IDVet ELISA for testing bulk tank milk (BTM) for M. bovis, including estimation of an optimal cut-off, diagnostic sensitivity (DSe) and diagnostic specificity (DSp). We then investigated how attributes of milk production influenced DSe over the production cycle and identified factors associated with the true herd-level prevalence of infection with M. bovis.

Materials and methods
Serum and BTM ELISA testing data from 67 dairy farms were analysed using Bayesian latent class analysis with two tests in multiple populations. We accounted for the possibility that DSe could vary over the production cycle and accounted for repeated measurements taken from herds over time.

Results
A cut-off of 26 SP% was estimated to be the optimal cut-off that yielded the optimal combination of DSe and DSp while making no assumption about the true disease status of the selected herds at each sampling timepoint. At this cut-off, the DSp of the IDVet ELISA was estimated to be 95.6% (95% highest probability density [HPD] interval: 91.7, 98.1) and the DSe to be 85.5% (95% HPD: 62.7, 96.5). The true prevalence of M. bovis was associated with the stage of the production cycle, herd size and somatic cell count concentration of the BTM sample. DSe varied markedly according to the stage of the production cycle and vat milk volume. The highest DSe was observed when BTM samples were tested in the early lactation.

Conclusion
This study provides insights into how the IDVet ELISA can be applied for BTM testing in New Zealand dairy herds and other settings.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","c54f9b9d-8dfb-410e-9187-f32dd54c71fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Merennage Ayesha Salgadu","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Capacity and Needs Assessment of Veterinary Services in Vietnam in One Health, Biosecurity & Biosafety","PresentationBio":null,"Title":"Mr.","FirstName":"Harish","LastName":"Tiwari","Position":"Research Fellow","Organization":"The University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":59,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
To evaluate the national capacity and needs of veterinary services in Vietnam in One-Health, biosecurity, and biosafety.

Materials and methods
A cross-sectional mixed-methods study was conducted between November 2020 and April 2021. An online questionnaire was administered to government-employed field veterinarians. Descriptive analyses, followed by univariable and multivariable regression analyses were performed using survey responses to understand capacity in the field. Semi-structured interviews were conducted with stakeholders in veterinary services including government, academia, research institutes, non-profit and international organisations. Coding and thematic analysis using a deductive approach was used for data collected from interviews to contextualise findings from the survey.

Results
In total, 178 field veterinarians completed the online questionnaire and 25 stakeholders were interviewed. Up to 52% of respondents had rarely or never participated in One-Health approaches in the field and 69% reported a high priority for further training. There was a knowledge gap reported amongst district and commune-level veterinary staff about the need for, and awareness of multisectoral collaboration. Respondents that completed postgraduate qualifications in epidemiology or FETP were more likely to have higher-levels of experience in One-Health (OR: 4.2; 95% CI: 1.7, 10.5). Up to 93% of respondents reported practicing good biosecurity and biosafety measures (including use of PPE) before and after visiting farms, minimising the risk of disease introduction. Most reported receiving training in biosecurity and biosafety. Physical and socioeconomic barriers to practicing biosecurity were reported to be prevalent for smallholder farmers, which suggests a gap in the capacity of veterinary services to provide cost-effective and practical biosecurity strategies.

Conclusion
This study identifies gaps in knowledge, attitudes and adoption of practices related to One-Health, biosecurity, and biosafety, and enables us to prioritise aspects of training, policy and planning required to build national capacity of veterinary services in Vietnam.

Key words: One-Health, biosecurity, biosafety, veterinary epidemiology ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","8fc4d524-a96c-44ab-af7e-21be4a6db35f","978aef2c-117a-4e1c-b105-03f159c579de","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Harish Tiwari","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Long-term acute bovine viral diarrhoea virus infections in dairy cattle","PresentationBio":null,"Title":"Dr.","FirstName":"Maria J.","LastName":"Vilar","Position":"","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":60,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"To describe a field case of long-term acute bovine viral diarrhoea virus (BVDV) infections on a dairy farm.

An official voluntary BVDV control program has been implemented since 2004 in Galicia (NW Spain). The control program is based on a regular monitoring of farms by testing bulk tank milk and serum samples from young heifers, using a commercial ELISA. Where tested samples indicated possible persistent infection (PI) (e.g. a positive ELISA antibody result in a young heifer), this was confirmed by antigen ELISA or PCR (from serum or ear-notch samples). In June 2020, an BVDV outbreak was detected in Galicia, with several new born PI animals during that time.

Four calves that tested positive for BVDV by antigen ELISA continued to show positive results between 35 and 70 days after the initial test. The age of these animals ranged from 69 to 120 days old when they last tested positive for BVDV. Finally, they tested antigen-negative and antibody-positive, being confirmed as acutely infected. The BVDV strain found on the farm was typed as 1b.

Typically, diagnosis of PI animals is confirmed by two consecutive positive samples to BVDV taken 3-4 weeks apart. However, this case study showed that multiple samples collected during longer periods of time were needed to confirm PI.

Keywords
BVDV, type 1, PI, acutely infected (AI), long-term viremia
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Maria J. Vilar","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Demand for Veterinary Services in Cambodia: Determining Factors and Differing Roles of Service Providers","PresentationBio":null,"Title":"Dr.","FirstName":"Juan Pablo","LastName":"Villanueva Cabezas","Position":"","Organization":"The University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/26e8c3dd4bc341238c061bb9da576ea7","IsPresentingAuthor":false,"Order":61,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
-Identify accessibility and use of animal health services by smallholders.
-Determine the roles that different veterinary service providers play in animal health.
-Investigate factors that contribute to smallholders’ decisions to use animal health services.

Materials and methods
We interviewed a total of 1,528 smallholder livestock holders across ten provinces of Cambodia to investigate access and patterns of use of different animal health service providers, namely, village animal health workers (VAHWs) and veterinarians. We expect these providers to be substitutes, so we used a multivariate probit model to allow for correlations across the smallholders’ choices of service provider use.

Results
Access and use of service providers varied across provinces, but the average results for all provinces showed that smallholders had the highest access (yes=36.1%) and use (yes=12.4%) of VAHWs. The lowest access (yes=5.2%) and use (yes=1%) was for public veterinarians. Less than half of respondents reported having access to any service provider, and only 18.5% reported using any service provider in the last year. We also find that VAHWs are more active in preventive procedures than veterinarians, who are more involved in curative treatments. Specific determinants of whether or not to seek care only slightly varied between VAHWs and veterinarians, but the correlation between the two models was positive and significant, confirming that the two provider groups are substitutes. Households with access to credit, raising cattle and having access to multiple service providers were all more likely to use any veterinary services. Conversely, raising poultry made households less likely to use veterinary services.

Conclusion
Cambodian Smallholders have low access to and use of veterinary services, particularly for the most commonly raised livestock type, poultry. VAHWs can play an essential role in filling the gap in access, particularly in preventive care and disease surveillance to mitigate future zoonotic disease outbreaks.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","3c19c60b-bf2c-4701-b93e-3b18208e3913","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","978aef2c-117a-4e1c-b105-03f159c579de","02f86f29-9eae-4d8d-b937-84e31f38e74d","d12154ed-5a96-4eee-9b2d-d5985b20d3db","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Juan Pablo Villanueva Cabezas","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial susceptibility of mastitis-causing staphylococci","PresentationBio":null,"Title":"Mrs.","FirstName":"Päivi","LastName":"Rajala-Schultz","Position":"Professor","Organization":"University of Helsinki","PhotoUrl":null,"IsPresentingAuthor":false,"Order":63,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Microbiologic diagnosis and knowledge on antimicrobial resistance (AMR) of pathogens form a basis for effective treatment of intramammary infections (IMI). PCR methodology prevails in mastitis diagnostics in Finland and staphylococci are the most prevalent causes of IMI. The commercially-used PCR assay tests for blaZ gene in staphylococci. Genotypic and phenotypic beta-lactam resistance can differ. Our objectives were to evaluate antimicrobial susceptibility of mastitis-causing staphylococci, and to compare their phenotypic and genotypic beta-lactam resistance.

Milk samples positive for Staphylococcus aureus or non-aureus staphylococci (NAS) in the PCR assay were cultured, and the isolates identified to species level using MALDI-ToF MS. In addition to detection of blaZ, mecA or mecC genes, AMR of the isolates to cefoxitin, ceftiofur, enrofloxacin, gentamycin, oxacillin, penicillin and tetracycline was evaluated using the disc diffusion method. Agreement between phenotypic and genotypic beta-lactam resistance was assessed with kappa-coefficient.

Antimicrobial susceptibility of 504 isolates (260 S. aureus, 244 NAS) from different herds across the country was evaluated. The most common NAS species were S. simulans, S. epidermidis, S. chromogenes and S. haemolyticus (74% of all NAS). Of all the staphylococci, 26.6% carried blaZ gene, 18.8% were phenotypically resistant to penicillin and 21.3% to any beta-lactam drugs. Considerable differences existed between species, ranging from 70.1% of S. epidermidis, 9.3% of S. aureus, and 5.3% of S. simulans phenotypically resistant to penicillin. Resistance to other antimicrobials was rare. The mecA gene was detected in 8 NAS and mecC in one S. aureus isolate. Agreement beyond chance between phenotypic and genotypic beta-lactam resistance was moderate for S. aureus (kappa = 0.56) and substantial for NAS (kappa=0.67).

Antimicrobial resistance, overall, was low in mastitis-causing staphylococci, but variability existed between species. Agreement between the different testing methods was moderate to substantial, complicating everyday treatment decisions and warranting further research.
Keywords: mastitis, staphylococci, antimicrobial resistance

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Päivi Rajala-Schultz","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Sequestration and destruction of rinderpest virus containing material 10 years post-eradication","PresentationBio":null,"Title":"Prof.","FirstName":"Christine","LastName":"Budke","Position":"Professor","Organization":"Texas A&M University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":64,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: In 2021, the ten-year anniversary of global freedom from rinderpest was celebrated. During the last ten years, the Food and Agriculture Organization of the United Nations (FAO) and the World Organisation for Animal Health (WOAH) have helped their membership consolidate, sequence, and destroy stocks of rinderpest virus containing material (RVCM). Our objectives were to conduct a progress review of the sequestration and destruction of RVCM by WOAH Members 10 years post-eradication, and assess the risk of rinderpest re-occurrence.

Materials and methods: From June to October 2021, a review of the scientific literature was performed to identify publications related to rinderpest virus (RPV) research undertaken since 2011. In addition, WOAH documents were reviewed and a representative from each institute known by the WOAH to keep RVCM was contacted to discuss current and historical RVCM holdings, uses, and laboratory biosecurity. These data are informing a semi-quantitative risk assessment model.

Results: A search of 21 databases resulted in 17 included publications. Nine of the identified studies (53%) were conducted in facilities that are current FAO-WOAH designated rinderpest virus holding facilities (RHFs). Besides providing genome sequencing data, a main finding was that vaccination of cattle against peste des petits ruminants virus does not provide protective immunity against RPV. As of 2021, there were only 14 institutes known to be keeping RVCM, 7 of which are official RHFs. This is down from 44 laboratories in 2011. Biosecurity levels for institutes keeping RVCM ranged from BSL 2 to BSL 4. Three RHFs are currently contributing to the global rinderpest vaccine reserve.

Conclusions: Two of the six known non-approved institutes have given no indication of any plans to destroy or transfer their RVCM to an official RHF. Therefore, more remains to be done to minimize the risk of rinderpest re-occurrence.

Keywords: Rinderpest, morbillivirus, cattle, eradication, biosecurity
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Christine Budke","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A novel framework to assess confidence in freedom from infection of control programmes","PresentationBio":null,"Title":"Prof.","FirstName":"Gerdien","LastName":"van Schaik","Position":"Epidemiologist","Organization":"GD / UU","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4dfb6737047d4732b20b9b3a840a0d80","IsPresentingAuthor":false,"Order":65,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The aim of the STOC free project was to construct a generic framework, STOC free data and STOC free model, that allows a standardised and harmonised description of different control programmes (CP) for cattle diseases.
Bovine viral diarrhoea virus (BVDV) was chosen as the case disease because of the diversity in CPs in the six participating countries. STOC free data was designed for the collection of BVDV data. For STOC free model, a Bayesian hidden Markov model was considered the best modelling method.
Detailed BVDV CP information was collected and the key aspects for inclusion in the STOC free model were identified. The risk factors for BVDV infection that needed to be included in the model were defined and default values for these risk factors were quantified. A data collection tool was finalised with which the data for the STOC free model was collected. STOC free model was tested and validated with simulated data as well as face validated based on existing data originating from BVDV CP in 4 countries. Results showed high and comparable probabilities of freedom from BVDV in herds that participated in a BVDV control scheme based on ear notch testing. The developed STOC free model updates priors with monthly herd level BVDV test results, whereby animal level information must be aggregated to herd level input. The STOC free model is designed for endemic disease situations given that it needs some infections for parameter estimation and convergence. In a BVDV free country, a scenario tree model is a better suited tool to quantify freedom from infection.
The STOC free model can be used to evaluate and improve disease CPs and to determine whether a CP complies with output-based regulations of the EU.

Keywords: Output-based surveillance, control programmes, probability of freedom from infection, BVDV, cattle
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Gerdien van Schaik","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Factors Associated with Antimicrobial Resistant Enterococcus Spp. in the North American Farm to Retail Continuum: A Scoping Review ","PresentationBio":null,"Title":"Miss","FirstName":"Kayla","LastName":"Strong","Position":"PhD Candidate","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/13bf135614694ba981712457f1a952b6","IsPresentingAuthor":false,"Order":66,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: One Health, Beef Cattle, Antimicrobial Resistance, Enterococci.

Objective: Authors aimed to identify factors associated with increased or decreased antimicrobial-resistant enterococci within beef production. Authors limited their scope to factors applicable to the North American production systems.

Materials and methods: A scoping review was conducted following the PRISMA-ScR reporting standard. Five databases were searched by a librarian for all abstracts published before May 2021. Articles were screened (double-blinded) within Covidence systematic review software using a priori inclusion and exclusion criteria. Data was charted using an integrated Covidence extraction form. Quality of evidence was not an exclusion factor.

Results: Of 725 articles screened, 26 were selected for inclusion. Eight of the extracted articles were published after 2018. Most studies occurred in a feedlot environment (n=15), followed by retail (n=6), abattoir (n=3), and farm (n=2). No studies were published specifically on cow-calf operations or transport settings. When assessing resistance, 12 enterococci species were studied within the articles, with E. faecium being the most common, followed by E. faecalis and E. casseliflavus. Resistance was assessed phenotypically for 25 studies and genotypically for 14 studies. 13 studies assessed both phenotypic and genotypic resistance. The following factors were captured within the review: antimicrobial administration (n=13), raised without antimicrobials labelled beef products (n=6), metal supplementation (n=4), probiotic supplementation (n=2), or other (n=6). Multiple factors were investigated in five articles. Articles generally reported null or minimal associations with their studied factors and resistance trends. Resistance was often associated with the species of enterococci and the timing of sampling relative to exposure.

Conclusion: Included studies often had nuanced findings. Association with AMR varied depending on the enterococci species, phenotype and genotype, and sampling timeline. Significant data gaps specific to factors at cow-calf operations, abattoir and retail environments prompt a call for further research in this space.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","e38fdbff-06ce-4925-a92e-8faaaf3278a6","0c879798-e821-4cff-bf7e-791d4b78ec7f","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Kayla Strong","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Comparing three computational methods for determining use of space of free-roaming domestic dogs ","PresentationBio":null,"Title":"Mr.","FirstName":"Filipe Miguel","LastName":"Maximiano Alves De Sousa","Position":"Phd Student","Organization":"Veterinary Public Health Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/51219bfd236b4826a4beda22e6fcff59","IsPresentingAuthor":false,"Order":67,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Understanding which sites are frequently visited by free-roaming domestic dogs (FRDD) can inform disease control programs and disease transmission simulation models. The Utilization Distribution (UD), Intensity Distribution (ID) and Recursion Distribution (RD) methods can be used for assessing space usage by animals, namely FRDD. The objective of this study was to compare the number and type of sites visited, as determined by the three computational methods.

Ten FRDD in Busia, western Kenya, were collared with GPS units for five days. Data were analyzed using the three methods. For each computational method, 10%, 50%, and 90% isopleths and centroid points were estimated. Each estimated centroid point was visited by one of the study authors, and the structure or area to which it corresponded was noted.

A total of 33, 42, and 84 centroid points were extracted, based on the computation of the UD, ID and RD, respectively. For both UD and ID methods, the two most frequently visited locations were the dog’s homestead and other human compounds. On the other hand, the most frequently visited locations based on the RD varied depending on the isopleth, and included other human compounds, fields, and rubbish dumps. Furthermore, some of the RD centroids corresponded to locations that were not identified with the other methods, including a slaughterhouse, a pit latrine and a banana plantation field in neighboring Uganda.

In this study we showed that UD, ID and RD can yield different results, with outputs extracted from the RD varying the most. The use of these methods may therefore be complementary, depending on whether the focus is on sites that are visited frequently, but for short periods of time, or sites where dogs spend more time. This, in turn, should be guided by the disease of interest and its transmission patterns.

Dog movements; spatial epidemiology

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Filipe Miguel Maximiano Alves De Sousa","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Experience of frontline veterinary field epidemiology training in Africa (2018-2021)","PresentationBio":null,"Title":"Dr.","FirstName":"Caryl","LastName":"Lockhart","Position":"Senior Veterinary Epidemiologist","Organization":"FAO","PhotoUrl":null,"IsPresentingAuthor":false,"Order":68,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The study aims to describe ongoing efforts to improve the field epidemiology competencies and skills of animal health frontline workers in 17 countries in Africa through the frontline In-Service Applied Veterinary Epidemiology Training (ISAVET) programme implementation between 2018 and 2021. A secondary objective was to assess programme implementation and outcomes at national level.

Methods: Programme coordinators at national, regional and global levels collected data on ISAVET programme implementation from participating countries in Africa between 2018 and 2021. Data captured included details on national efforts to support programme implementation, National level assessments for workforce needs, training and post training indicators.

Results: A total of 20 National assessments, and 39 trainings were completed in the 17 countries during the study period. The national assessments highlighted variable epidemiological skills gaps across the 17 countries and two regions to be addressed via national field epidemiology trainings. The 39 trainings completed included frontline ISAVET (n=19), Training of Trainers (n=10) and Training of Mentors (n=10). Trainee completion rates for the trainings was 98% with a range of 80% to 100% across the countries. Trainees in the various countries produced field products (i.e. field studies, surveillance reports and data quality audits for animal health facilities) at district level with important usage at national level. Post training, trainees in the various countries have demonstrated field-level application of their acquired knowledge and skills at their workplace.

Conclusions: These results provide valuable real-world experience in strengthening national level field epidemiological capacity of animal health frontline workers and potential contributions to effective surveillance systems and early response.

Key words: field epidemiology capacity building; animal disease surveillance and reporting; Africa
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Caryl Lockhart","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Prioritization of canine infectious diseases for surveillance and control programs in the UK: a stakeholder-led approach","PresentationBio":null,"Title":"Miss","FirstName":"Carmen","LastName":"Tamayo","Position":"Phd Student","Organization":"University of Bristol","PhotoUrl":null,"IsPresentingAuthor":false,"Order":69,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The Small Animal Veterinary Surveillance Network (SAVSNET)-Agile team is developing a nationwide framework to improve the timely detection and response to canine disease outbreaks in the UK. Many pathogens cause disease in dogs, however, meaningful surveillance in small companion animals is often only possible on the most impactful diseases. Thus, we use a stakeholder-led approach to identify canine infectious diseases that are of the highest relevance in the epidemiological context of the UK, and therefore, should be prioritized in such an epidemic response framework.

Materials and Methods
Participants were identified through a stakeholder analysis, and they were sent an online survey to generate initial lists of endemic diseases, exotic diseases, and syndromes of concern. A multicriteria decision analysis was undertaken to establish and weight epidemiological criteria for evaluating diseases from the initial lists. An ad-hoc Delphi technique was then applied to score these diseases against the identified criteria and achieve a consensus on the final lists of prioritized diseases.

Results
Twenty-two stakeholders, including veterinary practitioners, policy makers and academics, participated. Nine and ten weighted criteria were established to evaluate endemic and exotic diseases, respectively. The highest scoring criteria were ‘Amount of disease in population’ for endemic diseases and ‘Impact on public health’ for exotic diseases. Respiratory, gastrointestinal, and neurological diseases were identified as the top three syndromes of concern. In descending order of weighted score, leptospirosis, parvovirus, distemper, lungworm, and Alabama rot were the top five endemic diseases; and leishmaniasis, babesiosis, ehrlichiosis, dirofilariasis and canine influenza were the top five exotic diseases.

Conclusions
We describe a novel disease prioritization methodology suited to canine populations in the UK that can be easily adapted to other countries. Findings from this study are being used to inform the development of a nationwide epidemic response strategy in the UK.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","978aef2c-117a-4e1c-b105-03f159c579de","83ed3dfd-81d4-4ee5-a11b-a287dbe3f4a7","c0c76c20-a7ea-4e61-af24-1ffb79f9f561","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Carmen Tamayo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Phenotypic and Genomic characterization of 𝘚𝘵𝘳𝘦𝘱𝘵𝘰𝘤𝘰𝘤𝘤𝘶𝘴 𝘶𝘣𝘦𝘳𝘪𝘴 strains associated with bovine mastitis in dairy herds from Antioquia, Colombia.","PresentationBio":null,"Title":"Dr.","FirstName":"Giovanny","LastName":"Torres","Position":"Researcher","Organization":"Colombian Institute Of Tropical Medicine-ces University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":70,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Key words: Bovine Mastitis, 𝘚𝘵𝘳𝘦𝘱𝘵𝘰𝘤𝘰𝘤𝘤𝘶𝘴 𝘶𝘣𝘦𝘳𝘪𝘴, WGS, MLST.

Objective: The primary objective of this study was to explore the genotypic and phenotypic characteristics of 𝘚𝘵𝘳𝘦𝘱𝘵𝘰𝘤𝘰𝘤𝘤𝘶𝘴 𝘶𝘣𝘦𝘳𝘪𝘴 (𝘚. 𝘶𝘣𝘦𝘳𝘪𝘴) strains associated to intramammary infections in dairy herds from Antioquia, Colombia.

Materials and Methods: Twenty-one isolates were recovered from fresh milk samples in six dairy herds located in Antioquia, Colombia. Of these, the phenotypic and genomic characteristics were assessed in ten 𝘚. 𝘶𝘣𝘦𝘳𝘪𝘴 isolates, through antimicrobial susceptibility (minimum inhibitory concentration) and whole genome sequence analysis (WGS) using Illumina sequencing. Further exploration of the genomic characteristics was examined identify sequence type, pangenome, virulence determinants and putative prophage sequences.

Results: Phenotypically, 80% of the isolates were clindamycin resistant and 20% were resistant to erythromycin or tetracycline. Their genomic sizes ranged from 1,902,784 bp to 2,134,443 bp, with a pangenome containing 1,629 genes. Furthermore, the genomic characteristics, showed the presence of resistance genes such as 𝘵𝘦𝘵𝘖, 𝘵𝘦𝘵𝘔, 𝘌𝘳𝘮𝘉 e and 𝘭𝘯𝘶𝘊, 36 virulence factors, and the insertion sequences IS𝘚𝘢𝘨2 and IS𝘌𝘯𝘧𝘢4, previously described in other bacterial species. The MLST typing showed ten different novel sequence types (ST) (25th January 2022).

Conclusion: This is the first Colombian report where both phenotypic and genomic characteristics of 𝘚. 𝘶𝘣𝘦𝘳𝘪𝘴 were assessed. These isolates exhibited antimicrobial resistance and virulence characteristics of potential public health importance in the region, and a high variable population corresponding with a non-clonal 𝘚. 𝘶𝘣𝘦𝘳𝘪𝘴 structure.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Giovanny Torres","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Enhancing time-series models of mortality in cultured Atlantic salmon in Scotland with open-source remotely sensed satellite products.","PresentationBio":null,"Title":"Mr.","FirstName":"Jude","LastName":"Eze","Position":"Quantitative Scientist","Organization":"Scotland's Rural College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":70,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Most Atlantic salmon aquaculture take place in net pens in the ocean, leaving fish exposed to ever changing environmental conditions. Mortality of salmon in such pens varies in space and time and understanding this variation better can help mitigate mortality. Obtaining data from aquaculture farms of different companies to model mortality is a difficult and time-consuming task and often leads to comparing apples to oranges when data are not recorded in the same way in different companies, or even sites within companies. Objective of this study was to use open-source products to enhance epidemiological models and investigate the usefulness of such sources.

Material and methods: Our time series runs from 2002 to 2019. Using time-series regression, we modelled monthly relative salmon mortality and investigated the effect of the following groups of variables: 1) salmon farming variables such as on-farm biomass and distance to closest neighbour, 2) site specific variables such as fetch and flushing times, and 3) remotely sensed satellite products such as temperature and salinity.

Results: Variables from all three categories were statistically, significantly associated with relative mortality. From the remotely sensed satellite products these were phytoplankton and temperature.

Conclusion: Even at a monthly frequency, we found an association between relative mortality in open net pen salmon aquaculture and open-sourced remotely sensed satellite products. Such products can therefore be useful additions to existing models and thus improve analysis without having to go to companies to ask for more data.

Keywords: Time series, open-source products, salmon aquaculture","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Jude Eze","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluating the efficacy of internal teat sealants at dry-off for preventing intramammary infections and clinical mastitis in dairy cows: Systematic review update and sequential meta-analysis","PresentationBio":null,"Title":"Ms.","FirstName":"Sydney","LastName":"Pearce","Position":"Phd Candidate","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7aba3ef971354a4eb176c98882dd6a69","IsPresentingAuthor":false,"Order":71,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Sequentially synthesize literature evaluating the efficacy of internal teat sealants (ITS) applied at dry-off in comparison to no treatment controls (NTC) for preventing intramammary infections (IMI) at calving and clinical mastitis (CM) at 30 days-in-milk (DIM) among dairy cows and prepartum heifers.

Materials and Methods: A systematic review and Bayesian sequential pair-wise meta-analysis was conducted to update a 2019 review and network meta-analysis. Sequential methods require several meta-analyses of eligible studies, instead of one overall, by adding one study at a time in temporal order. Decisions for stopping were assessed at each analysis for either intervention effect or futility in finding effect based on a priori minimum clinically-relevant values (ORδ=0.5, 0.75). Studies captured in the updated search were screened in DistillerSR. Data were extracted from eligible studies and analysed in R 3.6.0. Cochrane Risk of Bias 2.0 and GRADE were used.

Results: One hundred and forty-one potentially relevant reports were identified, one being relevant. Fifteen original-review studies were eligible, totaling sixteen (IMI=12, CM=4). Sequential meta-analysis showed that ITS at dry-off significantly reduced odds of new IMI at calving compared to NTC at the second meta-analysis of twelve (OR₂=0.27, 95%CI=0.22-0.34), and onward (OR₁₂=0.31, 95%CI=0.29-0.34). Similarly for CM at 30DIM, significance was reached at the second meta-analysis of three (OR₂=0.59, 95%CI=0.47-0.73) and onward (OR₃=0.47, 95%CI=0.42-0.51). Stopping for effect occurred at the second analysis in both outcomes and ORδ’s but low-quality evidence and heterogeneity concerns were seen. A continuity-correction to include zero-event CM studies showed significance at the third meta-analysis of four (OR₃=0.79, 95%CI=0.73-0.86), stopping for effect at the fourth for ORδ=0.75 (OR₄=0.77, 95%CI=0.72-0.83), and stopping for futility at the second for ORδ=0.5 (OR₂=0.94, 95%CI=0.75-1.20).

Conclusions: Based on sequential evidence, sufficient research for practical use and possible cessation of future research was reached early in the literature.

Keywords: Sequential meta-analysis, stopping decisions","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c54f9b9d-8dfb-410e-9187-f32dd54c71fc","33998207-8c57-4717-9114-ccf9182e92bf","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Sydney Pearce","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Systematic benchmarking of existing variant callers for use with metagenomic data","PresentationBio":null,"Title":"Dr.","FirstName":"Noelle","LastName":"Noyes","Position":"Assistant Professor","Organization":"University of Minnesota","PhotoUrl":null,"IsPresentingAuthor":false,"Order":72,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives. Few variant callers have been developed specifically for metagenomic data, and performance evaluations focused on this use case are limited. The objective of this study was to perform comprehensive benchmarking of variant callers using metagenomic datasets with varying data characteristics.

Materials and methods. First, we established a list of single-genome and metagenomic variant callers. Next, we created a dataset of known bacterial genomes and randomly inserted single-nucleotide polymorphisms (SNPs) into the genomes. The position of each SNP was recorded as the “ground truth”. This set of genomes was systematically subset to generate datasets with varying genomic diversity. From each of these datasets, we generated in silico short-read metagenomic fastq files using InSilicoSeq. Read depth was systematically varied. The impacts of genomic diversity and read depth on runtime, memory, precision, recall and accuracy and was reported for each variant caller.

Results. Variant caller accuracy typically increased with increasing read depth, although this was not the case for all variant callers, especially for low-diversity datasets. Precision was generally high (i.e., >90%) across all read depths and levels of genomic diversity, although several variant callers exhibited lower precision with higher read depth, particularly for low-diversity datasets. Recall was lower than precision, but also tended to increase with increasing read depth. Memory and runtime also increased with increasing read depth, but were not impacted by genomic diversity. There were large performance differences between some variant callers, with important trade-offs depending on the variant caller.

Conclusion. Existing variant callers exhibited widely divergent behaviors on metagenomic datasets. Relationship between variant caller performance and read depth and/or (meta)genomic diversity were not always linear or intuitive. Systematic evaluation with relevant and representative data is necessary to guide selection of the most appropriate variant caller, depending on the scientific question and sample characteristics.

Keywords: metagenomics, variant calling, benchmarking","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Noelle Noyes","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Changes in antimicrobial use on Canadian dairy farms between 2007-2008 and 2018-2020","PresentationBio":null,"Title":"Mr.","FirstName":"Landon","LastName":"Warder","Position":"Phd Candidate","Organization":"Atlantic Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":73,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Antimicrobial use (AMU) in food animals is under ever-increasing scrutiny. Since efforts have been made to reduce AMU in the Canadian dairy industry over the past decade, evaluating how these interventions have altered AMU is key for guiding antimicrobial stewardship. The objectives of this study were to assess changes in AMU between 2007-2008 and 2018-2020 and the factors associated with AMU by the Canadian dairy industry.
Materials and methods
Data from garbage can audits (GCA) on dairy farms from Alberta, Ontario, Québec, and the Maritime provinces were compared. These GCAs were conducted during two periods: 1) 2007-2008, and 2) 2018-2020. Count data were converted to defined daily doses (DDD), a unit used to standardize dosages among antimicrobials. AMU across regions was quantified as a treatment incidence as DDD/100 animal-years. DDDs denote the number of days of treatment during the observation period. Regression models were used to determine the probability of a chemical class of antimicrobial being used on a farm, and the amount used in the event it was used. Factors considered were the time, region, chemical class, average somatic cell count (SCC), and the number of cattle.
Results
Overall, AMU decreased from 1218 (95% CI: 1048, 1416) DDD/100 animal-years in 2007-2008 to 646 (95% CI: 585, 714) DDD/100 animal-years in 2018-2020. However, third-generation cephalosporin use did not change significantly 41 (95% CI: 31, 54) DDD/100 animal-years to 46 (95% CI: 38, 56) DDD/100 animal-years. Québec had the highest overall AMU of the four regions at both time points. Large herds tended to have lower AMU rates, but average SCC had no significant correlation with usage.
Conclusions
AMU on Canadian dairy farms has significantly decreased between 2008 and 2018. However, third-generation cephalosporin use has not decreased in any jurisdiction assessed, and this should be addressed in the future.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b838af4f-bddf-4b1b-84d6-642a51a831fd","33998207-8c57-4717-9114-ccf9182e92bf","43f42602-f380-4a8a-9da3-ce05b383dc09","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Landon Warder","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Case-control study to identify management practices associated with morbidity or mortality from bovine anaplasmosis in Mississippi USA cow-calf herds","PresentationBio":null,"Title":"Mr.","FirstName":"William","LastName":"Jumper","Position":null,"Organization":"Mississippi State University College of Veterinary Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":74,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Bovine anaplasmosis is an economically important disease in the US beef cow-calf industry. The objective of this study was to identify management practices associated with illness or death from bovine anaplasmosis (BA) in cow-calf herds in the state of Mississippi. Mississippi veterinarians were solicited for case and control herds. Case herds had clinical BA diagnosed within the past year. Controls were any herd under the care of the same veterinary practice with no clinical BA diagnosed in the past year. Interviewers blinded to herd status conducted telephone surveys of herd owners. Management factors were tested for association with herd status using a generalized linear mixed logistic regression model with veterinary practice included as a random variable. Herd owners of 47 cow-calf herds, 22 cases and 25 controls, from 6 veterinary practices across Mississippi were interviewed, representing 22 different counties across Mississippi. The average case herd size was 131 breeding females, while the average control herd size was 135. Six of 22 case herds and 3 of 25 control herds used a conditionally-licensed BA vaccine. Twenty of 22 case herds and 13 of 25 control herds fed chlortetracycline (CTC) medicated mineral or feed. Feeding CTC was associated with case herd status (OR=9.2, 95%C.I.=1.7,50.7). Feeding CTC was common. The association between case herds and feeding CTC might be explained by herds that experienced BA previously being more likely to feed CTC, or herds that were feeding CTC being more likely to experience clinical BA due to chemosterilization increasing susceptibility to BA.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","43b008b2-8eab-460a-b708-b149b223981a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. William Jumper","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"African Swine Fever Impacts on Trade Relationships and Pork Prices in the Hispaniola Island","PresentationBio":null,"Title":"Dr.","FirstName":"Amy","LastName":"Hagerman","Position":"Assistant Professor","Organization":"Oklahoma State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":75,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The 2021 African Swine Fever (ASF) discovery in the Dominican Republic and Haiti raises concerns about pork shortages and livelihood losses. The swine industry structure dissimilarities may result in varied response policies and recovery outcomes in each country. The Dominican sector mostly consists of a commercially oriented swine production, often in urban and suburban areas. Traditional pigs, raised for meats and sold in rural wet markets, in contrast, dominates Haitian swine inventories. Despite those differences, pigs play a substantial role in wealth creation and food security across the island. In this study, we assess the prospective impacts of similar ASF-related shocks in the Dominican Republic, Haiti, and both to Hispaniola pork availability and prices.
Materials and Methods: Stochastic ASF shocks and deterministic consumer avoidance demand shocks are processed though the Haitian pig sector model (HPM-2021), which includes the Dominican Republic. HPM-2021 is a partial equilibrium model of the swine and maize sector in Hispaniola from 2021 to 2024 (baseline 2019). Recovery is assessed until 2030.
Results: ASF economic consequences to the island are examined through three specific scenarios: A Dominican Republic outbreak, a Haiti outbreak, and a widespread Hispaniola outbreak. Findings indicate that an ASF outbreak affecting pork supply in one country benefits the other country’s producers. The unaffected country tends to increase production to offset the island’s pork shortfalls. ASF supply shocks, despite consumer avoidance, often result in higher prices. A Dominican ASF outbreak causes 6 times higher Hispaniola prices than a similar Haitian outbreak. Nevertheless, the more industrialized Dominican swine sector allows a prompt recovery.
Conclusions: The size and duration of outbreaks create challenges and opportunities for swine markets on either side of the island. Socioeconomic damages are likely to be large and can be minimized through recovery programs.
Keywords: ASF, Hispaniola, economic impacts, partial equilibrium model
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d3066121-1fde-4a88-a77e-f435960ef4f2","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Amy Hagerman","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Compartmental modeling of control measures to reduce bi-directional interspecies transmission of influenza in a US hog grower unit","PresentationBio":null,"Title":"Mrs.","FirstName":"Wendy","LastName":"Beauvais","Position":"Assistant Professor","Organization":"Purdue University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/133521059a6549fa8daeae780f517363","IsPresentingAuthor":false,"Order":76,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The ability of influenza A viruses (IAV) to evolve as a zoonotic pathogen with pandemic potential poses public health and economic threat. Total direct and indirect annual losses to the US pork industry attributed to IAV range from $360 million to $1 billion. Swine workers’ odds of elevated antibodies to the 2009 H1N1 virus have been estimated to be 54.9 times those of controls in non-swine industry workers. Our objective was to rank the effectiveness of control measures to mitigate influenza transmission (hog-to-hog, hog-to-workforce, and workforce-to-hog) on a US indoor hog grower unit.

Materials and methods
We adapted a previous Susceptible-Exposed-Infected-Recovered model based on a system of ordinary differential equations (ODEs) to a typical US indoor hog grower unit and incorporated stochastic hog-to-workforce transmission. The model was parameterized via literature review and expert consultation. Sensitivity analyses were performed to explore the impact of uncertainty in parameter values on results. Control measures such as vaccination, sick leave policies, and temperature monitoring were evaluated.

Results
Assuming a single infected hog was introduced onto the farm, the model predicts the first workforce infection within approximately 30 days in 50% of iterations. For highly-transmissible strains, the first workforce infection occurred within 4 days, 5 days, or 8.6 days in 50% of iterations, based on a hog vaccination effectiveness of 0%, 40%, or 80%, respectively. Sensitivity analyses suggest that these findings are robust.

Conclusion
Our results align with empirical studies suggesting that hog workers are likely to become infected by IAV rapidly during an outbreak in hogs. The emergence of a highly-pathogenic and transmissible strain of IAV (to hogs or humans) could create significant workforce shortages in a sector where relatively few workers are responsible for large swine populations (approximately 1:2000 workers:hogs). Future research will examine the cost-effectiveness and user acceptability of control measures. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","3c19c60b-bf2c-4701-b93e-3b18208e3913","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Wendy Beauvais","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Peer assessment in veterinary epidemiology and biostatistics taught to veterinary nurse students","PresentationBio":null,"Title":"Dr.","FirstName":"Johanna","LastName":"Penell","Position":"Dean of Education, Faculty of Veterinary Medicine and Animal Science","Organization":"Swedish University Of Agricultural Sciences","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b2989ba549154ee5b5c8ce2e15554544","IsPresentingAuthor":false,"Order":76,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Peer assessment may increase deep learning and save teacher time. The objectives were to describe the peer and teacher marking agreement and the students’ experience of the peer assessment.
Material and methods: Peer assessment of the exams for the modules veterinary epidemiology and biostatistics was applied in two cohorts in the Bachelor program Veterinary Nursing at the Swedish University of Agricultural Sciences (SLU). After the exam, the students received another coded exam and the teacher supervised the marking by presenting the model answer for each question, with alternatives that also could give points. The teacher double-marked all exams. Exam grades were pass/fail. The learning experience was evaluated through individual and cohort course evaluations.
Results: For each exam, the maximum was 18 points with the pass limit 12 points. In the first cohort (48 students) 92% and 96% passed the exam in epidemiology and biostatistics, respectively. For epidemiology, teacher and peer marking agreed in 75% of the exams, and 100% were within ±1 p. For biostatistics, marks were same in 50% of the exams, 98% ±1 p. In the second cohort (60 students) 97% and 95% passed the exam in epidemiology and biostatistics, respectively. For epidemiology, teacher and peer agreed in 47% of the exams, 98% ±1 p. For biostatistics, marking was same in 68% of the exams, 93% ±1 p. Teacher and peer agreed on grade in all exams in cohort 1 and in all exams in epidemiology and all but one exam in biostatistics in cohort 2; for the one discrepancy the peer graded pass but the teacher grade was fail. Students’ evaluations revealed approximately 50-50 liking versus disliking peer assessment.
Conclusions: Peer assessment gave similar results as the teacher’s and provided insight and a learning experience for the students.
Key words: peer assessment, exam, student learning, agreement
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","07442f92-20d6-40eb-b297-c4897bc5781e","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Johanna Penell","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Diagnosing Intramammary Infection: Meta-analysis and Mapping Review on Frequency and Udder-health Relevance of Microorganism Species Retrieved in Bovine Milk Samples","PresentationBio":null,"Title":"Dr.","FirstName":"Daryna","LastName":"Kurban","Position":"Phd Candidate","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":77,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry provides accurate species-level identification of many, but not necessarily pathogenic, microorganisms in bovine milk. Our study aimed to: 1) determine the species-specific prevalence of microorganisms identified in bovine milk of apparently healthy lactating quarters vs. quarters with clinical mastitis (CM); and 2) map current information and knowledge gaps on udder health relevance of microorganisms retrieved from bovine milk samples.

A mixed study design (meta-analysis and mapping review) was chosen. We gathered several large North (Canada, US) and South American (Brazil) data sets of MALDI-TOF results for organisms cultured from quarter milk samples. For meta-analysis, two datasets (apparently healthy quarters vs. CM samples) were organized. A series of meta-analyses was conducted to determine microorganisms’ prevalence. Then, each species reported was searched through PubMed to investigate whether inflammation (somatic cell count or signs of CM) was associated with microorganism’s recovery from milk.

A total of 294 different species of microorganisms recovered from milk samples were identified. Among 50,429 quarter-milk samples from apparently healthy quarters, the 5 most frequent species were Staphylococcus chromogenes (6.7%, 95% CI 4.5-9.2%), Aerococcus viridans (1.6%, 95% CI 0.4-3.5%), Staphylococcus aureus (1.5%, 95%CI 0.5-2.8%), Staphylococcus haemolyticus (0.9%, 95%CI 0.4-1.5%), and Staphylococcus epidermidis (0.7%, 95%CI 0.2-1.6%). Among the 43,924 quarter-milk CM samples, the 5 most frequent species were Escherichia coli (11%, 95%CI 8.1-14.3%), Streptococcus uberis (8.5%, 95% CI 5.3-12.2%), Streptococcus dysgalactiae (7.8%, 95%CI 4.9-11.5%), Staphylococcus aureus (7.8%, 95%CI 4.4-11.9%), and Klebsiella pneumoniae (5.6%, 95% CI 3.4-8.2%).When conducting the PubMed literature search, there were 206 species identified by MALDI-TOF for which we were not able to find any CM nor SCC information.

Our study will provide guidance to veterinarians for interpretation of milk bacteriological identification conducted using MALDI-TOF and will identify knowledge gaps for future research.

Key words: Cattle, milk microbiology, MALDI-TOF, mastitis, meta-analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Daryna Kurban","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Cost-Efficiency of Hormone Treatment Protocols in Anestrus Holstein Dairy Cows in Thailand","PresentationBio":null,"Title":"Mr.","FirstName":"Thitiwich","LastName":"Changtes","Position":"Phd Student","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5069593ee8c04efdaf0ccfa6d83ced79","IsPresentingAuthor":false,"Order":78,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction: Postpartum anestrus is one of the most common reproductive problems in dairy cows in tropical countries. Various hormone treatment protocols could be used to correct this problem; however, the decision of which one to select estrous synchronization protocol may partly depend on the economics.
Objectives: The study aimed to compare the cost-efficiency of two types of hormone protocols - fixed-time AI (TAI) and estrus detection before AI (EAI) - among cyclic and non-cyclic dairy cows.
Methods: Clinical records of dairy cows that previously received hormone treatments, were retrieved from the Herd Health and Production Service database at Kasetsart University Veterinary Teaching Hospital, Nong Pho. Cows were categorized based on corpus luteum (CL) present before hormone treatment as follows; cyclic cows (cows with CL) and non-cyclic cows (cows with no CL). Proportion of pregnant cows and pregnancy per AI after hormone therapy were computed. Total cost per cow and cost per pregnancy (i.e., total cost per cow/proportion of pregnant cows) were calculated. These outcomes were compared between the two types of hormone protocols separately for cyclic and non-cyclic cows.
Results: The proportion of pregnant cows for TAI protocol was higher than EAI protocol, but the pregnancy per AI did not differ between the two protocols in cyclic and non-cyclic cows. The total cost for TAI protocol was higher than EAI protocol in cyclic and non-cyclic cows; however, the cost per pregnancy for TAI protocol was lower than EAI protocol in non-cyclic cows.
Conclusion: Although there was a higher proportion of pregnant cows following TAI, the total cost was higher than EAI. Despite the higher cost, TAI is a more cost-effective option to induce pregnancy in non-cyclic cows.

Keywords: cost-efficiency, hormone treatment, anestrus, dairy cow, tropical area ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Thitiwich Changtes","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bayesian Evaluation of Three Serological Tests for Diagnosis of Brucellosis in Dromedary Camels Using Latent Class Models","PresentationBio":null,"Title":"Mr.","FirstName":"Juan Carlos","LastName":"Arango Sabogal","Position":"Professor","Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/28295a70070c4023aa8bdb663a05b7e2","IsPresentingAuthor":false,"Order":79,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Our main objective was to estimate the sensitivity (Se) and specificity (Sp) of Buffered plate antigen test (BPAT), Rose Bengal Test (RBT), and indirect ELISA (i-ELISA) for the diagnosis of brucellosis in dromedary camels imported from Sudan to Egypt. The secondary objective was to estimate the true prevalence of brucellosis at the animal level.
Materials and methods: A cross-sectional study was carried out on 921 camels from 25 camel herds, imported from Sudan in the Shalateen area of the Red Sea Governorate, Egypt, between June 2018 and January 2020. Serum samples were collected and analyzed using BPAT, RBT, and i-ELISA. The posterior estimates [medians and 95% Bayesian credible intervals (95% BCI)] for Se and Sp of the three serological tests were obtained using a Bayesian latent class model (BLCM) assuming that BPAT and RBT tests were conditionally dependent on the true brucellosis status of camels.
Results: All tests had comparable and high Se [BPAT=87.6 (79.3 – 96.9); RBT=86.7 (79.1 – 92.8); i-ELISA=87.8 (81.5 – 92.6)] and Sp [BPAT=99.1 (98.3 – 99.6); RBT=99.1 (98.3 – 99.6); i-ELISA=98.7 (97.7 – 99.4)]. The true prevalence of brucellosis was 8.6% (6.8 – 10.7).
Conclusions: All three assays could be used for the initial screening of camel brucellosis. However, the BPAT and RBT are more suitable for control and eradication programs in Egypt because of their lower cost and faster turnaround time compared to the i-ELISA. In addition, BPAT and RBT could be performed in the field where in vivo tests are rarely used due to logistics and management constraints.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c54f9b9d-8dfb-410e-9187-f32dd54c71fc","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Juan Carlos Arango Sabogal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Canadian dairy farmers’ attitudes toward antimicrobial resistance and prudent antimicrobial use","PresentationBio":null,"Title":"Mrs.","FirstName":"Claudia","LastName":"Cobo-Angel","Position":"Post-doctoral Fellow","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":80,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Antimicrobial resistance (AMR) is a major challenge in public health. Farmers’ attitudes and risk perception influence the antimicrobial use (AMU) decisions. We aimed to describe Canadian dairy farmers’ attitudes toward AMR and promotion of prudent AMU.
Methods
An online questionnaire was distributed among dairy farmers in Ontario and Atlantic Canada. We included 15 items to explore farmers’ attitudes toward responsible AMU and AMR risk perception. We performed a factor analysis on the 15 statements, using scree plots and parallel tests to select the number of factors retained. Responses from 151 farmers were included in this analysis. T-tests were used to explore associations between variables.
Results
Participants’ level of agreement with the 15 statements regarding AMR and AMU reduction are summarized in Figure 1. We identified four factors, explaining 60% of the variance in farmers’ responses to these statements. Based on the factor loadings, four dimensions could be described as follows:
F1: knowledge and awareness of AMU and AMR
F2: sense of responsibility when using antimicrobials
F3: inaccurate knowledge of AMR and low awareness of AMR
F4: fear of consequences of AMU reduction on cattle health and welfare
Scores for factor 2 were associated with disagreeing with greater promotion of responsible AMU in the dairy industry (P = 0.02). Scores for factor 3 were associated with being an employee of the farm (P = 0.05).
Conclusion
Targeted interventions considering farmers’ knowledge, attitudes, and values regarding AMU and AMR could be more effective to achieve rational AMU.

Keywords: AMS, antibiotic, One-Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e37db9b0ef954e33b83efe175283ef17","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0c879798-e821-4cff-bf7e-791d4b78ec7f","43f42602-f380-4a8a-9da3-ce05b383dc09","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Claudia Cobo-Angel","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"ProgRESSVet: a capacity building program for national veterinary services on OIE-advanced and –day 2 competencies","PresentationBio":null,"Title":"Dr.","FirstName":"Kaushi","LastName":"Kanankege","Position":"Researcher","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4f5f3b4ae9a047ce9c3850b78129e5d7","IsPresentingAuthor":false,"Order":81,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":" ProgRESSVet is an online educational initiative that works to increase the capacity of national veterinary services around the globe. The program is coordinated by the University of Minnesota Center for Animal Health and Food Safety (CAHFS), a World Organization for Animal Health (OIE) collaborating center for capacity building and a Food and Agriculture Organization (FAO) reference center for veterinary public health, and implemented in collaboration with partner countries. The ProgRESSVet curriculum is designed to promote participants’ development and implementation of evidence-based interventions applied in the daily practical aspects of veterinary service activities. Beyond individual and group training, ProgRESSVet is aligned with the OIE’s objectives of making accessible, promoting, and sustaining measures for regional development. The program is based upon the OIE’s advanced (now Day 2) competencies for veterinary service professionals and seeks to enhance the knowledge and skills necessary for effective and innovative practice, including use of analytical tools such as risk analysis, modeling, and economic analysis. ProgRESSVet was founded as a collaborative effort between CAHFS and Centro Buenos Aires para la Capacitación de los Servicios Veterinarios (CEBASEV, now Centro Regional para el Entrenamiento de los Servicios Veterinarios [CRESVet]) in 2016, training two cohorts of veterinary professionals from six Latin American countries with funding from the Inter American Development Bank. Since April 2019, CAHFS has implemented ProgRESSVet in East Africa (initially in Kenya and Uganda, with the goal of expanding into other countries in the region) with funding from the Bill & Melinda Gates Foundation. In addition to regionally-focused versions of ProgRESSVet, the program is currently offered with a national focus in Colombia and in Vietnam. Across iterations, ProgRESSVet has proven to be an effective and efficient strategy to enhance the capabilities of veterinary services for improvement of local, national, and regional practices for animal health and related economic aims.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kaushi Kanankege","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Effects of storage conditions on dairy cattle fecal microbiome diversity","PresentationBio":null,"Title":"Miss","FirstName":"Ana","LastName":"Jaramillo","Position":"Student","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/af9151d9a3ec43e09ca185e56b8094b3","IsPresentingAuthor":false,"Order":82,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Microbiome, fecal samples, storage conditions

Objective
Microbiome analyses have been used to describe the composition and diversity of bacterial communities. Different storage conditions could impact microbiome metrics. Our objective was to determine the effect of storage time at 4°C refrigeration and ethanol preservation at room temperature compared to -80°C freezing on microbiome diversity in dairy cattle feces.

Materials and methods
Composite fecal samples from 22 dairy farms were aliquoted into four subsamples that were stored: at -80°C (0d), at 4°C for three (3d) and seven days (7d), and mixed 1:1 with ethanol 100% (E) prior to DNA extraction. 16S rRNA gene sequences were evaluated through alpha (Shannon, P evenness, observed features and Faith PD) and beta (Bray-Curtis, βw, βmn and β-2) diversity indices. Differences in storage conditions were evaluated using general mixed models, including farm-id as a random effect.

Results
Alpha diversity Shannon and P evenness of storage 3d, 7d and E were significantly different from 0d (p < 0.005), whereas for Faith PD and observed features, only E showed significant differences compared with 0d (P < 0.005). For beta diversity, 7d resulted in significant differences to 0d and 3d (p < 0.001) but no significant differences to E. For matrices βw and βmn, E was significantly different from 0d and 3d (p < 0.001), but no differences were identified for matrices Bray-Curtis and β-2.

Conclusions
Storage at 4°C (3d and 7d) and E affected the alpha diversity of the microbiome. Three days of storage at 4°C did not affect the beta diversity of the microbiome, but seven days did, compared to frozen storage. Ethanol affected both alpha and beta diversity, but it could be an option when immediately freezing the samples is not possible.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","df5d618c-3702-4d9c-95b6-0ad39c8b6184","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Ana Jaramillo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Early detection of trade-impacting swine pathogens: An epidemiological modeling study","PresentationBio":null,"Title":"Mr.","FirstName":"Gustavo","LastName":"Silva","Position":"Assistant Professor","Organization":"Iowa State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":83,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: This study explored early FAD detection based on collecting/testing a few samples from each of many swine farms in a large geographic region.
Materials and methods: The USDA Animal Disease Spread Model5 (ADSM) was used to simulate the spread of a \"generic\" FAD in a population of 17,522 farms (51,515,699 pigs) in a geographic region (1,615,246 km2) composed of the states of CO, IA, KS, MN, MO, NE, OK, SD. Disease spread was modeled for various scenarios (100 iterations each) by systematically changing ADSM transmission parameters, including the location of the index case. Thereafter, the number and location of infected farms was used to model the probability of detection over time post introduction for specific sampling schemes, e.g., percent farms sampled, location of farms, and timing of sampling.
Results: As an example, the scenario with restrained transmission parameters and in which the index case was initiated in a swine-dense region resulted in 0.04% (n=7), 0.18% (n=32), and 0.74% (n=130) of farms becoming infected by 21, 42, and 63 days post pathogen introduction. Results from the active collection/testing model predicted the probability of disease detection in the region with estimates of 32%, 70%, and 97% at the same time points.
Conclusion: Initial results suggest that an approach based on systematically collecting/testing a few samples from many herds in a region could achieve early detection of a FAD, provide ongoing evidence of freedom from disease outside of Control Areas, and facilitate interstate/international commerce throughout the response and recovery period.
The novelty was to determine the region's status without proving that each farm was negative. Thus, negative testing supports business continuity in the region, and a positive result triggers a USDA FAD response.
Keywords: participatory surveillance, early detection, probability of detection, systematically sampling, freedom from disease.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","512e7a65-c837-49ce-8f06-827e25887293","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Gustavo Silva","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Use of novel precision technologies, machine learning for prediction of health, welfare and production in livestock : Opportunities and Challenges","PresentationBio":null,"Title":"Prof.","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology & Precision Livestock Informatics","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":84,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Recent advances in bio-telemetry technology have made possible to generate lot of data through sensors which could be used to monitor welfare and classify behavioural activities in many different wild and farm animals . Change in behaviour , physiology could be a good early indicator of disease and such information could be used to predict disease pattern and has value for animal welfare. However, there is great inter and intra-individual variation among animals that needed to be accounted for when developing algorithms. Also, this information in itself is useful for future prediction as it can be used to extract many features of animal resilience. The aim of this talk will be to discuss such opportunities and challenges through presenting case studies from our research in developing algorithms for lameness prediction in sheep and cattle using sensors and use of thermal imaging to predict calf health. We collected longitudinal behavior data on sheep (n=30) and cattle (n= approx 2000) via accelerometer based sensors, various features were extracted and machine learning esp deep learning algorithms were built to predict lameness/lesions. Our results indicate high performance in predicting lameness above 85% accuracy, sensitivity and specificity and F score (Kaler et al., 2021 and Jarachi et al., 2021). We used behaviour information to extract resilience based features as well to quantify within and between individual variability using multivariate models. For calves, we developed a machine vision algorithm to detect temperature of calf via eyes using over 1000 images. Our results indicated the challenges of drift to account for in the extracted features which can impact results. There are significant opportunities for early disease detection using some of the novel technologies, they can not only help in early detection of disease event but also identify individuals that are at higher or lower risk. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/bfd13f090b25479da64687b92f4a2773","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","cb344d68-5710-46be-a916-dd122f96ab66","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Jasmeet Kaler","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing farm-level financial implications of rumen acidosis and ketosis in dairy cows","PresentationBio":null,"Title":"Prof.","FirstName":"Jarkko","LastName":"Niemi","Position":"Research Professor","Organization":"Natural Resources Institute Finland (Luke)","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8fd54cf10a014602bd2d809cd3c63c78","IsPresentingAuthor":false,"Order":85,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Rumen acidosis and ketosis are disorders which occur commonly in dairy cows. The financial implications of these disorders at the farm level are however received little attention in research. Hence, the objective of this study was to develop a tool which can be used to assess financial farm-level financial implications of rumen acidosis and ketosis in dairy cows.
A standard cost calculation model was first developed to provide a framework where diseases, and their control options, can be appraised. The model was then parametrised for a sample of pilot farms which provided data for the study. The appraisal was tailored for each farm by analysing farm-specific longitudinal data obtained by sensors installed on the farm and herd health records.
The financial losses were caused mainly by production losses, veterinary treatments taken in the herd and labour input related to the treatments. The annual farm-level losses varied substantially depending on the farm-specific factors such as incidence and severity of clinical disease. On average, the losses per disease case were calculated around €250 per diseased cow per year.
The results suggest that it is feasible to assess the farm-level financial implications of rumen acidosis and ketosis in dairy cows. However, obtaining robust parameters to perform farm-level assessment requires that sufficient time series data are available from the farm.
Key words: Production disease, Cattle, Cost of disease, Modelling
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Jarkko Niemi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An evaluation of the influence of livestock movements into villages and households on the transmission and persistence of infectious diseases in northern Tanzania","PresentationBio":null,"Title":"Dr.","FirstName":"Gemma","LastName":"Chaters","Position":"Analyst","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0698890284a84ad5bf5af4355525ba49","IsPresentingAuthor":false,"Order":87,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"
Objectives
In northern Tanzania, livestock are a main source of income, social status and nutritional security, especially for those living in impoverished communities. High livestock dependence is accompanied by a high burden of infectious production-limiting and zoonotic pathogens circulating within livestock populations, and poor access to veterinary services. Livestock movements, widely recognised as providing routes for pathogen transmission between populations, occur for many different reasons in Tanzania (e.g. as gifts, sales, to access resources) and are not centrally recorded or digitised. This work evaluates how livestock movements contribute to epidemiological connectivity and disease risk in northern Tanzania.

Materials and methods
Livestock serology (N=8,681) and household survey data (N=404) were collected from 47 sub-villages. Survey data were used to construct an inter-household movement network. Generalised linear mixed-effect regression models were used to evaluate if sub-village centrality metrics (indegree and betweenness) and household livestock introductions are risk factors for exposure to production-limiting and zoonotic pathogens.

Results
Interhousehold livestock movements (N=816, range=0.4–294km) connected 147 locations across northern Tanzania, including previously undocumented movements across the international border with Kenya. Household introductions were associated with increased odds of exposure to Bovine Viral Diarrhoea Virus (BVDV) in all households and Brucella spp. in agropastoral cattle. High sub-village betweeness was associated with BVDV exposure across all agro-ecological systems and increasing in-degree was associated with increased odds of exposure to Leptospira serovar Hardjo in smallholder sub-villages.

Conclusions
Livestock introductions create important pathogen transmission routes, however associations between seroprevalence and household or sub-village introductions differ for pathogens of varying transmissibility between different agroecological production systems and species. Other risk factors such as population and vector density and co-grazing, also influence pathogen maintenance and propagation, and these vary between production systems.

Key words: Tanzania, livestock movements, network analysis, zoonoses, disease
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","5178adf1-eaeb-4d5b-8fce-b18677488f5a","0c901ec5-8189-459e-b859-afcfb8a96f9b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gemma Chaters","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Use of unsupervised method to assess compliance of biosecurity practices to compartmentalization requirements for FMD and CSF in swine farms in Brazil.","PresentationBio":null,"Title":"Mr.","FirstName":"Gustavo","LastName":"Silva","Position":"Assistant Professor","Organization":"Iowa State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":88,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective. The study's objective was to assess compliance of biosecurity practices to compartmentalization requirements for FMD and CSF in swine farms in Brazil.
Materials and methods. The IN #44 of 2017 establishes the standards for certification of compartmentalization of the swine production chain regarding exposure to FMD and CSF viruses. Data came from a cross-sectional study conducted in Rio Grande do Sul (RS), Brazil. RS State is located in the south of Brazil and is the second-largest pork exporter in the country. The source population was the farms within the main swine companies of the state representing 75% of the state's commercial farms. The farm types were classified as multiplication sow farms (replacement animals), breed-to-wean farms, nursery sites, finishing sites, and finally, the farrow-to-finish farms. A random sampling procedure with probabilities proportional to the frequency distribution was used to select the farms, and 604 farms were visited. The K-means clustering analysis was performed using the Binary matrix distance and the Ward-D2 method taking into 20 biosecurity practices described in IN #44. The analyses were performed using the R program.
Results. Farms were classified as low, moderate, and high compliant. Farms with high compliance (n=303) performed 71% of the practices, moderate (n=219) 47%, and the low (n=82) 33%. Type of the farm, social factor, and company differed significantly between clustering groups.
Conclusion. It was possible to assess biosecurity compliance between farms and associated factors. Also, understand necessary investments to be compliant with IN#44.
Keywords: biosecurity compliance, compartmentalization, cluster analysis, swine.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c3788491af1a4692ab837624efba5c3b","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","40011888-980a-402c-868e-27ff2aacbc1b","978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Gustavo Silva","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The association between anti-Ostertagia ostertagi antibody levels in individual and bulk tank milk in twenty Norwegian dairy herds ","PresentationBio":null,"Title":"Ms.","FirstName":"Tonje","LastName":"Opsal","Position":"Phd Student","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":89,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The objective of this study was to investigate the association between Ostertagia ostertagi bulk tank milk (BTM) and individual milk samples using an antigen enzyme-linked immunosorbent assay (ELISA).

Materials and Methods
A cross-sectional field study was carried out in twenty herds in three regions of Norway in the fall of 2020. The sampling was purposive, selecting for herds with a suspected high parasite burden based on pasture management. None of the herds included used anthelmintic treatment. One BTM and individual milk samples from ten adult animals were collected from each herd, including cows of varied age and lactation stages. Specific antibodies were detected using antibody-ELISAs (Svanova Biotech) resulting in an optical density ratio (ODR) for each sample. Pearson correlation coefficient was applied to measure correlations between ODR values in individual milk samples and BTM.

Results
The mean ODR value of the BTM of the 20 herds in the study was 0.64 (range: 0.22 - 0.92, SD=0.17). The BTM ODR was higher than the herd average milk ODR in 90 % (18/20) of the samples. The correlation between BTM and individual milk ODR values was r= 0.42, and the correlation between BTM and average individual milk per herd ODR was r = 0.82.

Conclusion
The within-herd variation of the individual milk ODRs was large. There is a strong positive association between individual milk ODR and BTM ODR, which can potentially add practical value for future sampling for O.ostertagi.

Keyword: Pasture parasites

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Materials and Methods: Risk in the pig farms were assessed and communicated in relation of ASF detection in (found dead, hunted, or captured) wild boars. This includes tracking potential pathways of the virus in association to human behavior, such as vehicle movement.
Results: In this surveillance system, global positioning satellite is used to identify livestock vehicles that have passed a radius of three km from the detection point of ASF in wild boar during specific periods. Then, using an artificial intelligence-based program, their visits to pig farms are looked, and whether these vehicles have accessed inner area of the farm fence is checked. Daily and weekly reports and supporting information are written by Robotic Process Automation.
Conclusion: The reports are provided daily and weekly, to the animal health agencies nationwide by official document system, with statistics on the type of livestock vehicles and the geographical distribution of the farms visited. This information contributes to preparedness customized for the local situation. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Youngmin Son","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Association of Mycoplasma bovis and Mannheimia haemolytica during acute Bovine Respiratory Disease in feedlot cattle","PresentationBio":null,"Title":"Dr.","FirstName":"Paul","LastName":"Morley","Position":"Professor and Research Director","Organization":"Texas A&M University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/514a7f0ee1414172922c811c75dd5363","IsPresentingAuthor":false,"Order":90,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Bovine respiratory disease (BRD) still causes significant burden to the beef cattle industry. Therefore, the objective of this study was to investigate the association of Mycoplasma bovis and Mannheimia haemolytica during the acute phase of BRD in feedlot cattle.

Materials and methods: nasal swabs from an experiment evaluating the effect of anti-BRSV vaccination on BRD were used for the molecular detection of BRSV, Histophilus somni, M. haemolytica, Pasteurella multocida, and M. bovis via multiplex qPCR assays using TaqMan chemistry. Inverse probability weighted (IPW) logistic regression models were built, in which M. haemolytica prevalence on day 28 post arrival was regressed on M. bovis prevalence on arrival, 7 days and 14 days post arrival. An IPW Cox proportional hazards model to infer the association between time-to-first BRD antibiotic treatment and M. bovis prevalence on arrival, 7 days and 14 days post arrival, was also created.

Results: The presence of M. bovis in nasal swabs on day 7 post arrival was significantly associated with an increase in the prevalence of M. haemolytica on day 28 post arrival (prevalence difference: 0.28; 95% CI: 0.18, 0.38; P value<0.001). Significant time-varying coefficients for M. bovis prevalence were detected in all evaluated time points in the IPW Cox model (P value<0.001). The shortest median time-to-first BRD antibiotic treatment was 29 days in cattle M. bovis positive on day 0, 7, and 14 post arrival and in those positive on day 0 and 14 post arrival.

Conclusion: our findings suggest that M. bovis may be influencing the respiratory environment during the acute phase of BRD, increasing the abundance of M. haemolytica. Therefore, the relevance and dynamics of M. bovis in BRD should be revisited.

Keywords: Mycoplasma bovis, acute BRD, beef cattle, IPW models.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Paul Morley","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Prediction of the high risk area for ASF spread in pig farms by modelling the spatial distribution of ASF-infected wild boar in Gangwon-do, South Korea","PresentationBio":null,"Title":"Ms.","FirstName":"Youngmin","LastName":"Son","Position":null,"Organization":"Animal and Plant Quarantine Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":91,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: In the last 2 years (2020-2021), ASF outbreaks in domestic pig farms were reported only in Gangwon Province in South Korea. Moreover, ASF is widespread in wild boar in Gangwon Province (17 out of 18 cities), the potential for the outbreaks of ASF in pig farms is high. Here, we investigate to identify the high risk areas for ASF spreads by modelling the spatial distribution of ASF-infected wild boar in Gangwon Province, South Korea.
Materials and Methods: We used 1,169 cases of ASF surveillance data of wild boar in Gangwon Province during 2019-2021 and 15 environmental variables extracted from the land cover map as of 2021. The Maximum Entropy (MaxEnt) species distribution model (SDM) was used to model the spatial distribution of wild boar infected with ASF.
Results: The mean area under the receiver operating characteristic curve (AUC) for the 5 replicates of the MaxEnt model was 0.751 (±0.020), which means that SDM has good model performance. The most significant environmental factors affecting the distribution of ASF-infected wild was the elevation (36.5%), followed by distance from the grave (19.3%), slope (11.1%). and distance from the rice paddy (7.1%). The average elevation, distance from the grave, slope, and distance from the rice paddy was approximately 410.2m, 2.3km, 15.4 degrees, and 1.9km, respectively. Based on this, 28 out of 221 pig farms in Gangwon Province were found to be located in the area at high risk of ASF spread by ASF-infected wild boar.
Conclusion: In this study, we analyze the area at high risk of ASF spread by ASF-infected wild boar and domestic pig farms located in high risk area in Gangwon Province, South Korea. These findings could be the fundamental information needed to develop an ASF control strategy and a monitoring plan.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Youngmin Son","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Use of mathematical modeling and economic approaches to improve the control of multidrug-resistant Salmonella Dublin in heifer-raising operations","PresentationBio":null,"Title":"Dr.","FirstName":"Sebastian","LastName":"Llanos Soto","Position":"Phd Student","Organization":"Cornell University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":91,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective. This study evaluated transmission dynamics of multidrug-resistant (MDR) Salmonella Dublin in a heifer-raising operation under different mitigation strategies to determine their cost-effectiveness.
Materials and methods. The developed preliminary Susceptible-Infected-Recovered model describes the spread of MDR S. Dublin in a heifer-raising operation in the Northeastern USA and accounts for persistently infected heifers (i.e., carriers) and the temperature-dependent decay of S. Dublin in the environment. Stochasticity was introduced through Monte Carlo simulations. Vaccination (represented as an assumed reduction in animal susceptibility to infection, and the level and duration of S. Dublin fecal shedding) and testing & culling (i.e., removal of carriers after identification through ELISA tests) strategies were each evaluated in small- (n=200), medium- (n=500), and large-sized (n=1000) operations. Mitigation strategies were compared in terms of a predicted reduction in the proportion of carriers, and the number of S. Dublin-related deaths and culled heifers by the end of a three-year simulation period compared to a do-nothing scenario. The operation’s profit was calculated as the difference between earnings from the sale of heifers and costs of mitigation strategies over the simulation period.
Results. The model predicts that testing & culling would result in a 3-times lower proportion of carriers compared to the do-nothing scenario, irrespective of the herd size, but the operation’s costs would increase 2.9-4.5 times. A vaccine with 25% effectiveness would reduce S. Dublin-related deaths by 68%, 25%, and 10% in small-, medium-, and large-sized operations, respectively, compared to the do-nothing scenario, but result in a none/negligible profit. A vaccine with 50% effectiveness would decrease mortality further and increase profit 1.3-1.4 times irrespective of the operation size.
Conclusion. Preliminary results suggest that even an imperfect vaccine may be a profitable One Health strategy for the control of MDR S. Dublin in heifer-raising operations.
Keywords: antibiotic resistance, cattle, dairy, disease prevention","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","5178adf1-eaeb-4d5b-8fce-b18677488f5a","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Sebastian Llanos Soto","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessment of management strategies to control potential Chronic Wasting Disease outbreaks in California using an Agent-based epidemiological model.","PresentationBio":null,"Title":"Dr.","FirstName":"Carlos","LastName":"Gonzalez-Crespo","Position":"","Organization":"Center for Animal Disease Modeling and SurveillanDepartment Of Medicine & Epidemiology, University Of California, Davis","PhotoUrl":null,"IsPresentingAuthor":false,"Order":92,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Chronic wasting disease (CWD) is a neurodegenerative disease of cervids caused by prions which affects white-tailed deer (Odocoileus virginianus), mule deer (Odocoileus hemionus), Rocky Mountain elk (Cervus elaphus nelsoni), moose (Alces alces shirasi), and reindeer (Rangifer tarandus). The disease spreads through direct contact with infected individuals or indirect contact with infectious material (e.g., fluids, feces, and tissues of infected animals). First recognized in Colorado in 1967, CWD currently affects captive and free-ranging cervids in 29 states of the United States, 4 Canadian provinces, Norway, Sweden, Finland, and South Korea. When unmanaged in free-ranging populations, CWD expands geographically and prevalence increases, leading to impacts on infected cervid populations by lowering adult survival rates and destabilizing population dynamics. So far, CWD has not been detected in California and a surveillance program has been in place since 1999, testing over 5,500 deer and elk. There is still concern that CWD can potentially be introduced in California by various means e.g., improper transport or disposal of contaminated carcasses.

By incorporating real mule deer population data, this study presents a 30-year epidemiological simulation of the expansion of theoretical CWD outbreaks in California, using an agent-based model approach. Several scenarios were modeled based on different deer densities and proposed management measures: (1) surveillance for initial detection, (2) initial response to the first detection, (3) harvest management and targeting and (4) carcass management.

The model results assessed the effectiveness and efficiency of proposed management measures and strategies, evaluating the necessary conditions, the impact of direct and indirect transmissions, the probability of infection, and the effect on deer populations and their dynamics.

In the event of a CWD outbreak in California, the model predictions can provide managers with supported risk-based strategies to target key surveillance and management efforts to reduce CWD prevalence and its spread to new areas.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Carlos Gonzalez-Crespo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A cross-sectional observational study on the vaccination protocols recommended by veterinarians in Quebec dairy herds. ","PresentationBio":null,"Title":"Miss","FirstName":"Marie-Pascale","LastName":"Morin","Position":null,"Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1bfc00774470443b92bc5878d164b5ed","IsPresentingAuthor":false,"Order":93,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction: In-depth knowledge of the vaccination practices of dairy producers is necessary to identify opportunities to improve the prevention and control of the introduction and spread of infectious diseases in dairy herds.
Objective: The objective of this study was to describe the current vaccination practices of Quebec dairy producers.
Material and method: We used a cross-sectional study design based on the electronic data collected as part of a mandatory biosecurity program (ProAction) and describing the standard vaccination procedures. These standard vaccination procedures were completed between December 2016 and January 2021 by dairy producers with their veterinarian. Association between some important demographic variables and vaccination protocols will be investigated using generalized mixed models accounting for clustering of dairy producers by veterinary facilities.
Results: A total of 4152 standard vaccination procedures were compiled. Preliminary results indicated that vaccination against at least one pathogen was performed by 92% (95CI: 91, 93) of producers. Of these producers, 49% vaccinated pre-weaned calves, 91% vaccinated post-weaned calves (3-24 months), and 97% vaccinated mature cows. Most of the producers (90%; 95CI: 89, 91%) reported to vaccinate against respiratory disease/abortion/embryonic mortality, with main targeted pathogens being BRSV-Parainfluenza-Infectious bovine rhinotracheitis (89%), bovine viral diarrhea (88%), Pasteurella multocida (18 %), Mannheimia haemolytica (17%), Histophilus somni (2%), and Mycoplasma bovis (1%). Eighteen percent (95CI: 17, 19%) of producers vaccinated against calf diarrhea (Escherichia coli, rotavirus, and coronavirus) of which 5 % vaccinated pre-weaned calves and 14% vaccinated the dam before calving. Twenty-two percent (95CI: 21, 24%) vaccinated cows against mastitis (E. coli and/or Staphylococcus aureus).
Conclusion: This study is the first to provide information on veterinary recommendations for vaccination in Quebec dairy herds. This study has identified areas for improvement to better prevent infectious diseases and thus reduce the use of treatments, including antimicrobials.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Marie-Pascale Morin","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Inferring Bovine Tuberculosis Transmission Between Cattle and Badger via Environment from the Kilkenny Trial and Generating R Map ","PresentationBio":null,"Title":"Mrs.","FirstName":"You","LastName":"Chang","Position":"Phd Candidate","Organization":"Wageningen University Dierwetenschappen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":94,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Bovine tuberculosis (bTB), caused by Mycobacterium bovis, is one of the most complicated and persistent issues in the Irish cattle industry despite a comprehensive control/eradication programme. The European badger plays an important role in maintaining bTB transmission. However, the quantitative roles of cattle and badgers in the transmission are unclear and vary spatially. Moreover, these two species rarely have direct contact between them, which indicates the importance of environmental transmission. Therefore, we aim to understand better bTB transmission between cattle and badgers via the environment in a spatially explicit context and to identify high-risk areas.
We developed an environmental transmission model that incorporates both within-herd/sett transmission and between-species transmission, with the latter facilitated by badger territories connecting herds. Model parameters such as transmission rate and the decay rate parameters were estimated by maximum likelihood estimation, using the infection data from badger and cattle. Our estimation showed that the environment can play an important role in the transmission of bTB, with an estimated decay rate of 0.0038 per day (0.0034, 0.0045), i.e. on average 263 days survival. Based on the estimated transmission rate parameters, we generated a first basic reproduction ratio (R) map for each small local area using Next Generation Matrix. Our results suggest that badger-to-cattle transmission is larger than cattle-to-cattle transmission, due to a shorter average infectious period of cattle, caused by the test-and-removal intervention. The badger-to-badger and cattle-to-badger transmission in each herd area depend on the badger density on the farm. The R map identifies hotspots and provides insights on the quantitative role of each host in the spread of bTB in a spatially explicit context. In addition, this R map can also be used to inform local intervention strategies, such as estimating the minimum vaccination coverage required to bring R below 1 in a high-risk area.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["76c84259-9a28-4ba9-a370-db4b00031911","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. You Chang","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimating the global economic value of livestock and aquatic farmed animals ","PresentationBio":null,"Title":"Dr.","FirstName":"Peggy","LastName":"Schrobback","Position":"Research Scientist","Organization":"CSIRO","PhotoUrl":null,"IsPresentingAuthor":false,"Order":95,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Understanding the global economic importance of farmed animals to society is essential as a baseline for decision making about future livestock and aquaculture food systems. While assessments of global biomass or total production volumes have received considerable attention in the literature, limited focus has been put on analysing the economic value of farmed animals.
The aim of this study was to estimate the global economic value of livestock and aquatic farmed animals, with a focus on the value of live animals and primary production outputs (e.g., meat, eggs, milk). To achieve this, we introduce the framework of the Total Economic Value of farmed animals. Within this framework the direct use value of farmed animals (i.e., market value) is estimated, which comprises asset values (i.e., live animals) and output values (e.g., meat, eggs, milk).
The results suggest that livestock production, specifically the cattle sector, dominates the global farm production value while the aquaculture value remains minor compared to global livestock (and crop) production. The results also suggest that chicken and pigs are mostly produced for the output value they generate (e.g., meat, eggs), while for cattle and sheep both asset value and output value remain globally important. The results demonstrate the need for improved global data as a basis to inform decision making about the global farmed animal sector.
The findings emphasize the economic importance of the livestock sector for global food security, nutrition, and livelihoods but also highlight the need to consider additional livestock benefits to society such as finance/insurance value and non-market values (e.g., value of genetic breeding pool, cultural values).
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5a000db4af5641908a77179000921145","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","d12154ed-5a96-4eee-9b2d-d5985b20d3db"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Peggy Schrobback","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Anthelmintic treatment efficacy in cattle in the municipality of Rio Negro, Chile","PresentationBio":null,"Title":"Dr.","FirstName":"Juan","LastName":"Sanhueza","Position":"Assistant Professor","Organization":"Universidad Catolica De Temuco","PhotoUrl":null,"IsPresentingAuthor":false,"Order":96,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To evaluate the efficacy of an anthelmintic treatment in cattle.
Materials and Methods: Thirty smallholder cattle producers participating of a regional aid program in the municipality of Rio Negro, Chile were randomly selected from a total of 442 cattle owners. All cattle present on the farm at the time of treatment administration were included in the study. Treatment consisted of a single subcutaneous dose of Ivermectin. A fecal sample was taken prior to treatment administration. Fourteen days after treatment administration, another fecal sample was taken from the same animals. Samples were sent overnight to the parasitology laboratory of the Universidad Católica de Temuco. A Whitlock universal counting slide was used to estimate the number of eggs per gram (epg). Animals with <100 epg were not used to estimate the percentage of egg count reduction. Two egg count percent reductions (≥95% and ≥90%), between the first and second sampling, were estimated as indication of treatment failure.
Results: Animals (n=128) were treated and sampled in 30 farms. At the fist sampling, 45/128 animals had zero eggs counted, most of them in animals ≥24 months-old (28/45; 62.2%) compared to animals <24 months-old (17/83; 20.5%). Overall, there were 61/128 animals with ≥100epg in 22 farms. The fecal egg count was reduced ≥95% in 21/61 animals (34.4%; 95% CI 23.7% – 47.0%), and ≥90% in 23/61 animals (37.7%; 95% CI 26.6% - 50.3%).
Conclusion: The ivermectin treatment failed to reduce the parasite burden in most animals studied. These results highlight the need for improving regional aid program policies regarding anthelminthic control in cattle. A closer partnership among local government, producers and academia should be pursued to evaluate the cost-benefit of local interventions and an efficient use of resources.

Keywords: Anthelmintic, Efficacy, Cattle, Egg Count, Smallholders","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Juan Sanhueza","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantifying the efficacy of differential taxation on antibiotics to control antimicrobial resistance in food animals","PresentationBio":null,"Title":"Mr.","FirstName":"Alex","LastName":"Morgan","Position":"Postdoctoral Researcher","Organization":"ETH Zürich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":97,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Differential taxation is an intervention that applies taxation rates based on the extent of antimicrobial resistance (AMR) identified for each antibiotic class. This taxation scheme has been proposed as a method to preserve drug efficacy across portfolios of antibiotics by disincentivising the usage of certain antibiotic classes. This study aims to explore the applicability of differential taxation to reduce AMR in food animals.

An integrated economic and epidemiological model is currently being developed, with this model describing AMR dynamics of multiple antibiotic classes in a livestock population. This model will be used to compare the efficacy of differential taxation against, and in tandem with, other interventions such as flat taxation schemes and improved hygiene in agricultural settings.

Preliminary results will be presented, such as the dynamics of livestock AMR following the implementation of differential taxation (Figure 1). This will also include an identification of the theoretically optimal taxation scheme to reduce criteria such as the average frequency of livestock resistance and the number of livestock years spent with disease.

This study will provide an initial step to quantifying the efficacy/plausibility of differential taxation in food animals. The results from this study will also provide policy makers with additional evidence to develop optimal policy to reduce AMR, preserve antibiotic efficacy and ultimately improve welfare in food animal populations.

Figure 1. AMR dynamics following the implementation of a differential taxation scheme. The model assumes three antibiotic classes with varying levels of antibiotic-resistance. Shaded areas represent rescaling of differential taxation every three years. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6c745a5612804b82b957668ef7368ee8","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Alex Morgan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Imperfect Estimation of Lepeophtheirus salmonis Abundance and its Impact on Salmon Lice Treatment on Atlantic Salmon Farms","PresentationBio":null,"Title":"Dr.","FirstName":"Jaewoon","LastName":"Jeong","Position":"Science Advisor","Organization":"Fisheries And Oceans Canada","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/578e114dc2f54af5b4627f0e84bf97be","IsPresentingAuthor":false,"Order":98,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1.\tObjective(s)
Accurate monitoring of sea lice levels on salmon farms is critical to the efficient management of louse infestation; however, the abundance estimated through sampling cannot perfectly reflect the abundance on a given farm. While suggestions to improve the accuracy of sea lice abundance estimates have previously been made, the significance of the accuracy of such estimation has been poorly understood. Understanding the extent of error or bias in sample estimates can facilitate an assessment as to how influential this “imperfect\" information will likely be on management decisions, and can support methods to mitigate negative outcomes associated with imperfect estimates.

2.\tMaterials and methods
We built a model of a hypothetical Atlantic salmon farm using ordinary differential equations and simulated salmon lice (Lepeophtheirus salmonis) abundance over an entire production cycle. During this period salmon were periodically sampled using Monte Carlo approaches that adopted a variety of sample sizes, treatment thresholds, and sampling intervals. Treatments, which depend on monitored abundance, were characterized as early, timely, or late, as a result of over-estimation, appropriate estimation, and under-estimation, respectively.

3.\tResults
To achieve timely treatment, it is important to delay treatments until true abundance reaches some treatment threshold and to execute treatment as soon as this threshold is reached. Adopting larger sample sizes increased the frequency of timely treatments, largely by reducing the incidence of early treatments due to reduced variance in the monitored abundance rather than by reducing the incidence of late treatments. Changes in sampling interval and treatment threshold also influenced the accuracy of abundance estimates and thus the frequency of timely treatments.

4.\tConclusion
This study has implications for the manner in which fish should be sampled on salmon farms to ensure accurate salmon lice abundance estimates and consequently ensure the effective application of treatment.

salmon, sampling, sea lice","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","b838af4f-bddf-4b1b-84d6-642a51a831fd","5178adf1-eaeb-4d5b-8fce-b18677488f5a","a6e18364-9d10-4a4d-b5a9-4f87ce64492c"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jaewoon Jeong","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Summary of culture and antimicrobial susceptibility results from bovine milk samples submitted to veterinary diagnostic laboratories in Eastern Australia from 2015 - 2019","PresentationBio":null,"Title":"Dr.","FirstName":"Suman Das","LastName":"Gupta","Position":"Post-doctoral Research Fellow","Organization":"The University of Queensland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":101,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives: The objectives of this study were to: (i) describe the mastitis pathogens isolated from bovine milk samples submitted to four veterinary diagnostic laboratories in Australia between 2015 and 2019, (ii) determine the isolation pattern, and (iii) summarise the antimicrobial susceptibility data available for the most common mastitis causing pathogens.

2. Materials and methods: A retrospective cross-sectional study was conducted using samples (N=21,701) submitted between January 2015 and December 2019. A descriptive analysis was performed summarising mastitis causing pathogens by year, season, and dairy region. Logistic regression models were developed to explore the effects of season, dairy region and year on a sample being culture positive for individual pathogens. One-way random effect models were employed to assess the correlation of pathogen occurrence and postcode of dairy farms by estimating the intra-class correlation (ICC). In addition, the results of antimicrobial susceptibility testing of the main mastitis-causing bacterial pathogens were summarised.

3. Results: Of the 21,701 submitted samples, 50.7% (n=11,006) had growth for at least one significant pathogen; mixed/contaminated growth was reported for 22.6% (n=4,913) and no growth for 26.6% (n=5,782) samples. The most frequently isolated mastitis-causing pathogens included Streptococcus uberis (41.2%, 95% Confidence Interval (CI): 40.3-42.0), Staphylococcus aureus (23.5%, 95% CI: 22.8-24.3), Escherichia coli (8.0%, 95% CI: 7.5-8.5), Streptococcus dysgalactiae (6.6%, 95% CI: 6.1-7.0) and Corynebacterium bovis (5.7%, 95% CI: 5.3-6.1). No significant effects of season, dairy region and year on a sample being culture positive for individual pathogens was observed. We identified significant clustering of a sample being positive for Staphylococcus aureus (ICC=0.42, 95% CI: 0.32-0.51, p<0.001 and Streptococcus uberis (ICC=0.88, 95% CI: 0.86-0.91, p<0.001). The major mastitis-causing pathogens demonstrated high antimicrobial susceptibility for a range of antimicrobials.

4. Conclusion: Our results can be used to streamline and improve mastitis management and treatment decisions by dairy stakeholders.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","43f42602-f380-4a8a-9da3-ce05b383dc09","df5d618c-3702-4d9c-95b6-0ad39c8b6184","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Suman Das Gupta","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Biomass and value estimation of the cattle production systems in Ethiopia","PresentationBio":null,"Title":"Dr.","FirstName":"Yin","LastName":"Li","Position":"","Organization":"Csiro","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/08587f1338c4435982b8ed9b330c3784","IsPresentingAuthor":false,"Order":102,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Understanding livestock biomass and the economic value generated by livestock production systems is fundamental for evaluating disease burden. Analyses of livestock production systems according to biomass and subsequent economic value can contribute information that supports disease burden assessments.

The aim of this study was to describe the economic characteristics of cattle production systems in Ethiopia.

The population, reproduction performance, mortality and offtake, productivity and feed types were analysed using different data sources. The total cattle biomass and output values in the major cattle production systems in 2021 were estimated using the DYNMOD herd model. The uncertainty and sensitivity analysis of the biomass estimation for Ethiopia’s crop-livestock mixed systems (CLM), the predominant cattle production systems, were analysed.

The CLM and the pastoral cattle production systems were different in herd structure, reproductivity, mortality and feed usage. The estimated total cattle biomass was 14.41 billion kg in 2020, with 11.77 billion kg in the CLM, and 2.64 billion kg in the pastoral system. The estimated total offtake meat production from cattle was 717.29 million kg in 2020, with 565.25 million kg in the CLM, and 152.04 million kg in the pastoral system, respectively. The total combined output value (beef, milk and draught power) of cattle production was 8.1% of GDP in Ethiopia in 2021, reflecting the significant importance of cattle in the Ethiopian economy. Especially, the economic value of draught power in the CLM system was estimated as 1.88 billion USD, which contributed 21% of the combined cattle production value in the year. Hazards that impact the productivity of meat, milk and draught power in the country should be given priority in animal health policies.
Keywords: Cattle, herd model, biomass, production systems, output values, draught power
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d12154ed-5a96-4eee-9b2d-d5985b20d3db","df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Yin Li","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Herd-level prevalence of bovine leukosis, salmonellosis and neosporosis in Alberta dairy herds using bulk tank milk samples","PresentationBio":null,"Title":"Mr.","FirstName":"Waseem","LastName":"Shaukat","Position":"PhD Scholar","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fcef0e14ef644634884999ff3da0ddaf","IsPresentingAuthor":false,"Order":104,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Endemic infectious diseases remain a major challenge for the dairy farms in Canada. The Cattle Health Surveillance System (CHeSS) project offers a more comprehensive approach for the surveillance and control of multiple endemic infectious diseases of importance in Western Canada. For effective disease control programs, up-to-date estimates of the disease occurrence are of utmost importance. The objective of this study was to estimate the herd-level prevalence of bovine leukosis, neosporosis and salmonellosis in Alberta, Canada, dairy farms.

Bulk tank milk samples from all 493 Alberta dairy farms were collected twice (December 2021 and April 2022) and tested for antibodies against bovine leukemia virus (BLV), Neospora caninum and Salmonella Dublin using indirect ELISAs with Bovicheck BLV, IDEXX Neospora X2, and PrioCheck™ S. Dublin Kit, respectively. ELISA results were dichotomized (positive and negative) based on the cut-off values as per manufacturers’ recommendation. Herd-level prevalence was calculated as proportion of positive samples of total tested samples.

Herd-level prevalence of BLV was estimated at 89.5% (95% CI = 86.4–91.9%) and 89.1% (95% CI = 85.9–91.6%) in December and April, respectively, while Neospora caninum prevalence was estimated at 18.1% (95% CI = 14.9–21.9%) and 6.6% (95% CI = 4.7–9.3%) in December and April, respectively. Similarly, prevalence of Salmonella Dublin was estimated at 11.3% (95% CI = 8.7–14.5%) and 6.6% (95% CI = 4.7–9.3%) in December and April, respectively. The spatial distribution of the positive and negative herds (including a 3rd sampling) across Alberta will also be presented during the ISVEE 2022. Additionally, similar data on contagious mastitis (Staphylococcus aureus, Streptococcus agalactiae, and Mycoplasma bovis) and Johne’s disease will be presented.

These results provide up to date information of the disease frequency that will set the basis for further investigation of within-herd prevalence of these diseases and help in devising appropriate disease control strategies in Alberta.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"drwaseemshaukat","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/drwaseemshaukat/","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"drwaseemshaukat","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/drwaseemshaukat/","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=drwaseemshaukat","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/drwaseemshaukat/","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=drwaseemshaukat","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/drwaseemshaukat/","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Waseem Shaukat","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Prevalence and antimicrobial susceptibility of BRD pathogens: P. multocida, M. haemolytica, and H. somni isolated from calves at weaning in western Canadian cow-calf herds","PresentationBio":null,"Title":"Dr.","FirstName":"Maddy","LastName":"Lazurko","Position":"Graduate Student","Organization":"Western College of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/286c80278dba463da8a48f037722d5cb","IsPresentingAuthor":false,"Order":107,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Antimicrobial resistance (AMR) in bovine respiratory disease (BRD) pathogens is of growing concern in western Canadian beef feedlots, however little information is known regarding the pathogen load and AMR profile of calves in cow-calf herds. The aim of this study was to determine the prevalence and AMR profile of Pasteurella multocida (PM), Mannheimia haemolytica (MH), and Histophilus somni (HS) isolated from calves prior to feedlot entry.

Materials and methods: Calves from 27 cow-calf operations in western Canada were sampled at or near weaning with deep nasopharyngeal swabs (n=26 calves per herd). Samples (n=695) were cultured, and isolates were tested for antimicrobial sensitivity using broth microdilution. Sensitivity was classified according to minimum inhibitory concentrations (MIC) using CLSI breakpoints.

Results: The prevalence of PM, MH and HS isolated from the 695 individual calf samples was 0.28 (196 isolates), 0.10 (71 isolates) and 0.02 (14 isolates) respectively. Seventeen (8.7%) PM isolates were classified as resistant against penicillins (11 isolates), tetracyclines (5 isolates), aminocyclitols (4 isolates), and macrolides (4 isolates). One (0.5%) PM isolate was classified as intermediate to florfenicols and three (1.5%) to penicillins. No MH or HS isolates were classified as resistant; however, 6 (8.4%) MH isolates were classified as intermediate to either penicillins (3 isolates), macrolides (2 isolates) or aminoglycosides (1 isolate). Three (21.4%) HS isolates were classified as intermediate to macrolides. Multidrug resistance (MDR) was seen in 5 (2.6%) PM isolates (4 isolates from the same herd), and no MRD was seen in MH or HS. Metagenomic sequencing of pooled herd samples is currently being conducted with more results to come.

Conclusion: The results of our investigation suggest the prevalence of AMR and MDR bacterial respiratory pathogens in western Canadian calves, prior to feedlot entry, is low.

Key words: antimicrobial resistance, bovine respiratory disease, cow-calf
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","0c879798-e821-4cff-bf7e-791d4b78ec7f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/maddy-lazurko-427b07156","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/maddy-lazurko-427b07156","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/maddy-lazurko-427b07156","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/maddy-lazurko-427b07156","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Maddy Lazurko","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Standardization of veterinary drug dispensing data for antimicrobial use estimation in Canadian dairy herds","PresentationBio":null,"Title":"Mr.","FirstName":"David","LastName":"Leger","Position":"Veterinary Epidemiologist","Organization":"Public Health Agency of Canda","PhotoUrl":null,"IsPresentingAuthor":false,"Order":109,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction
Herd-level veterinary dispensing data provide a good surrogate measure of antimicrobial consumption in an industry sector. The Canadian Dairy Network for Antimicrobial Stewardship and Resistance (CaDNetASR) will provide herd-level estimates of antimicrobial use (AMU) derived from veterinary dispensing data. There is no established standard as to how drug products are listed in veterinary practice inventory management systems, which results in significant diversity in product identification when comparing clinic dispensing data.
Objective
To describe efforts in establishing methods for data standardization of veterinary dispensing data and to facilitate linkage to active ingredient level data necessary for AMU quantification.
Materials and Methods
Elements of the Drug Product Database (DPD), Health Canada, were extracted and merged to create a cattle-specific DPD, the backbone for data standardization. The DPD includes active antimicrobial ingredient (AAI) information for all approved products. To link DPD AAI information to veterinary dispensing data the product name and format size of antimicrobial products dispensed to farms were extracted as a concatenation (Python 3.9). To ensure correct product-AAI linkages for the different clinic product references, a “thesaurus” of product concatenations was built from submitted trial data.
Results
The creation of a thesaurus of veterinary dispensed products facilitated accurate linkage to AAI information held in the DPD, resulting in a dependable data standard. These data contribute to the derivation of indicators of AMU, and temporal and spatial trend analyses for these parameters. Examples of data transformations to be provided.
Conclusion
The diversity of veterinary dispensing data notwithstanding, herd-level data can be standardized and linked to AAI information for further analyses and quantification. Information on industry trends in AMU will support enhanced antimicrobial stewardship in the Canadian dairy sector.
Keywords: Dairy, antimicrobial use, standardization ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","43f42602-f380-4a8a-9da3-ce05b383dc09","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. David Leger","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modeling the transmission of paratuberculosis in a small dairy herd","PresentationBio":null,"Title":"Dr.","FirstName":"Tanja","LastName":"Knific","Position":"Researcher","Organization":"University of Ljubljana, Veterinary Faculty","PhotoUrl":null,"IsPresentingAuthor":false,"Order":111,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The aim of this study was to investigate the possible transmission of paratuberculosis in a small dairy herd typical of Slovenia. Paratuberculosis or Johne's disease is caused by Mycobacterium avium subsp. paratuberculosis (MAP). Based on studies from other countries, the large amount of imported animals and the increased herd size in Slovenia, we hypothesised that the prevalence within the herd is now higher than estimated a decade ago.
We developed a stochastic compartmental model of the spread of MAP within a herd consisting of 17 dairy cows and 15 young animals, including female calves and heifers. The model was developed using the Epidemiological Multi-Level Simulation Framework (EMULSION). We considered two paths of disease progression, infection of adult cows and infection of young animals through vertical and horizontal transmission, and transmission through cattle movements. Demographic data were based on real 2018 data from competent authorities, while data on MAP epidemiological traits were from the literature. Where appropriate or necessary, the data were supported by expert opinion.
Contrary to our expectations, the prevalence within the herd was not significantly higher than previously estimated, as the average prevalence was around 7% and ranged from 0% to 71%. On average, there were 4% subclinically and 0.5% clinically infected cows per herd. The results showed that the annual probability of spontaneous elimination and reinfection per herd was 22% and 18%, respectively, facilitated by dynamic cattle trade.
This compartmental model is the first developed to represent a small dairy herd. It showed that herd size has an impact on the dynamics of paratuberculosis and that therefore different models should be used to study the spread and control of this disease in herds of different sizes.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Tanja Knific","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Engagement of Canadian veterinary clinics to collect herd-level AMU data for herds enrolled in the Canadian Dairy Network for Antimicrobial Stewardship and Resistance (CaDNetASR) program","PresentationBio":null,"Title":"Dr.","FirstName":"Daniella","LastName":"Rizzo","Position":"Epidemiologist","Organization":"Public Health Agency Of Canada","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7dc27b17c5dd4db6821b335b1f0583ae","IsPresentingAuthor":false,"Order":112,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction

In 2019, the Canadian Dairy Network for Antimicrobial Stewardship and Resistance (CaDNetASR) was implemented in 5 major dairy producing provinces (Alberta, British Columbia, Nova Scotia, Ontario, and Québec). This surveillance program has a requirement to provide herd-level estimates of antimicrobial use (AMU).

Objective
To establish a surveillance framework to effectively monitor AMU in Canadian dairy herds. The aim of this study was to investigate the feasibility and logistics associated with the provision of herd- level veterinary dispensing data as a source of AMU data.

Materials and Methods
A short questionnaire was developed with research ethics approval. It was emailed to all veterinary clinics servicing dairy herds enrolled in the CaDNetASR program with a response period of April 8 to June 7, 2021. Questions focused on identifying veterinary software used by clinics when dispensing drug products to dairy producers, the method of dispensation (direct vs pharmacy), the ability to extract and share herd-level dispensing information, and the willingness of veterinarians to share this information.

Results
The response rate was 47% (23/49 veterinary clinics). All 5 participating provinces were represented by the respondents. 8 different veterinary software’s were identified, and 87% (20/23) of respondents indicated that they were willing to provide herd-level veterinary dispensing data to the program.

Conclusion
This questionnaire process succeeded in laying the groundwork for veterinary clinic engagement across Canada to facilitate the provision of herd-level dispensing data. AMU estimates derived from these data will support enhanced antimicrobial stewardship in the Canadian dairy sector.

Keywords: Dairy, antimicrobial use, veterinary dispensing
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This study employed recombinase polymerase amplification (RPA), an isothermal experimental technique, to determine its ability, compared to bacterial culture, to accurately detect the bacterial pathogens, mobile genetic elements and antimicrobial resistance genes associated with bovine respiratory disease (BRD) in calves on arrival at a feedlot.

Materials and Methods
Deep nasopharyngeal swab samples were obtained from one hundred auction-derived calves on arrival at a feedlot. Each sample was cultured for four main bacterial BRD pathogens – Mannheimia haemolytica, Pasteurella multocida, Histophilus somni and Mycoplasma bovis. DNA was extracted from an additional aliquot.

RPA assays were validated using TwistDx kits and converted to real-time florescence analysis. Targets for testing included the four bacteria, integrative conjugative elements (tnpA, ebrB) and key macrolide antimicrobial resistance genes (msrE, mphE, erm42). Reactions occurred at 37°C for 33 minutes. Positive amplification was determined when fluorescence measured over 200 mV for 60 seconds.

Results
A total of 154 isolates were recovered using bacterial culture – M. haemolytica (30), P. multocida (66), H. somni (25), M. bovis (33). One M. haemolytica and two P. multocida isolates showed varied resistance profiles, and the Pasteurella isolates were resistant to ≥ three antimicrobial classes (multidrug resistance). RPA testing is underway and will be completed prior to the ISVEE conference.

Conclusion
Antimicrobial drugs are a first-line defense against BRD, but rising bacterial resistance emphasizes the need for rapid and reliable diagnostic tests that are practical in commercial feedlots. RPA is a molecular diagnostic tool that requires little specialized equipment, making it an attractive alternative to traditional methods.

This study provides a unique insight into the ability of RPA to identify bacterial agents and their resistance determinants in a vulnerable population upon arrival at a feedlot, providing novel and useful information to inform prudent antimicrobial use.

Keywords: RPA, bovine respiratory disease, bacteria","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","43f42602-f380-4a8a-9da3-ce05b383dc09","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","33998207-8c57-4717-9114-ccf9182e92bf","0c879798-e821-4cff-bf7e-791d4b78ec7f","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Tara Funk","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"BRD Revisited: Microbial Ecology Provides New Perspective on the Pathogenesis and Epidemiology of Respiratory Disease in Feedlot Cattle","PresentationBio":null,"Title":"Dr.","FirstName":"Paul","LastName":"Morley","Position":"Professor and Research Director","Organization":"Texas A&M University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/514a7f0ee1414172922c811c75dd5363","IsPresentingAuthor":false,"Order":114,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Bovine respiratory disease (BRD) is one of the most costly and important diseases affecting cattle. Molecular methods provide a revolutionary means to further our understanding BRD pathogenesis and epidemiology. The purpose of this study was to investigate different types of samples using state-of-the-art genomic sequencing and qPCR to characterize the microbial ecology of the respiratory tract of feedlot cattle in relation to BRD occurrence.

Materials and methods: Cattle at multiple feedlots were enrolled and monitored to detect BRD. Multiple sample types were used to investigate pathogen distribution and microbial ecology of the respiratory tract (samples at different levels of the respiratory tract, ropes, water bowls), and analyzed using culture, qPCR, 16S rRNA gene sequencing and target-enriched shotgun sequencing.

Results: Mannheimia haemolytica (Mh) was recovered 20-60% of cattle, regardless of BRD occurrence, and isolates were commonly multidrug resistant. Molecular detection methods were more sensitive in identifying respiratory pathogens than culture, and all types of respiratory swabs were similarly useful. Mh was also commonly detected by qPCR in environmental samples. Mh detection in individuals was not associated with disease occurrence, regardless of sample or analysis type. The genus Mycoplasma represented an average of ~50-80% of the respiratory microbiome, and was more abundant in cattle that developed BRD.

Conclusion: State-of-the-art sequencing and qPCR provided novel insights that can be used for improving methods for prevention, detection, and treatment of BRD in feedlot cattle.
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8:45 AM","StartToEndTimeSortString":"8:30 AM - 8:45 AM","DisplayDetails":"ISVEE Awards 2022","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"8:30 AM - 8:45 AM","StartTimeOverrideString":"8:30 AM","EndTimeOverrideString":"8:45 AM","StartToEndTimeOverrideString2":"8:30 AM - 8:45 AM","BaseStartDateTime":"2022-08-09T08:30:00+00:00","BaseEndDateTime":"2022-08-09T08:45:00+00:00","BaseStartDateTimeOverride":"2022-08-09T08:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T08:45:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T11:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T11:45:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T11:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T11:45:00.0000000+00:00"},{"Id":"f9eb62f2-a3a3-472b-a165-af14969460d0","SessionBlockId":null,"Name":"KEYNOTE: Managing AMR with the operationalization of One Health","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"08:45:00","EndTime":"09:30:00","StartTimeOverride":"08:45:00","EndTimeOverride":"09:30:00","Details":"","Overview":"Speaker: Dr. Bassirou Bonfoh","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#DF2D46","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Managing AMR with the operationalization of One Health","PresentationBio":"Dr. Bassirou Bonfoh is from Togo and holds a DVM and a PhD in epidemiology. He worked for 5 years (1995-2000) in West Africa as a livestock development program coordinator for Vétérinaires Sans Frontières. He went for a 4 year (2000-2004) epidemiology postdoctoral fellowship at the Swiss Federal Institute of Technology Zurich (ETHZ) and Swiss Tropical and Public Health Institute (Swiss TPH). He subsequently led for 4 years (2004-2008) a research group in the Horn of Africa, West Africa and Central Asia where he contributed to validate the One Health concept. Between 2009-2018, he was the Managing Director of CSRS where he led the North-South science diplomacy. Since 2009, he is currently the Director of the consortium Afrique One contributing to the capacity development on zoonotic diseases elimination. Bassirou is a guest lecturer at University of Liège (Belgium) and at the Pan African veterinary school (Senegal) where he is also the chair of the scientific advisory board. He has researched numerous zoonoses and One Health topics with a focus on African countries. He has developed modules on soft skills for researchers in Africa (www.afriqueone.net(link is external)) comprising research administration management and governance, research design and science communication and contributed to develop the “Participatory Risk Analysis” methods for animal source food in informal sector.","Title":"Mr.","FirstName":"Bassirou","LastName":"Bonfoh","Position":"Director","Organization":"CSRS","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b309ea25759f47a2bf5d7a7de0999dd0","IsPresentingAuthor":false,"Order":null,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Health in its different components is considered as a public good that is an outcome of socio-ecological systems. The increasing magnitude of AMR in such systems is the result of the use of synthetic and the exposure to the potential environmental antimicrobials. Public health is therefore under an increased threat of AMR and currently, efforts have been made to understand the main drivers and consequences. We argue that the One Health approach, which promotes intersectoral collaboration, can bring a societal added value and change in the prevention of AMR.

Based on two decades of One Health research in Africa on global health threats, the AMR problem has been analysed in the dairy sector, TB treatment, food system and Neglected Tropical Diseases in the frame of the Afrique One consortium. The integrated analysis and management of AMR in the health system using the One Health concept has shown that the problem is often not noticed or does not receive enough attention, a situation that firstly points out the weaknesses of public governance responsibilities, secondly questions the effectiveness of current communication and conventional interventions in AMR mitigation.

We lack knowledge about compliance with new regulation and behaviour change around future AMR threats. The incentives in the food system, the economic driver of antimicrobial uses and the multiscale governance system at the agriculture, nutrition and health interfaces are the bottom line of AMR management. Thus, One Health principles offer opportunities for mutual learning, shared resources such as transformative knowledge, laboratories and human capacities in AMR surveillance-response system.

Key words: AMR, One Health, Governance, Surveillance
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Materials and methods: During a study that applied PRMNAD to ASF, users were asked to evaluate map-based risk information and the monthly ASF-disease status in Europe, to then choose currently ASF-free 100 sqkm regions that were in their opinion at high risk of getting the disease during the next month. Users also listed the risk factors they considered for each selected high-risk region. At the end of each assessment period, user selections were validated against the true disease status that emerged. We then modelled the PRMNAD system to compare its performance with stochastic identification of high-risk regions for ASF spread.

Results: We found that person-based PRMNAD selection of ASF high-risk regions outperformed an entirely random selection model by about 167-fold (geo.-mean, range 58 – 333-fold) and a distance-to-disease informed model by about 26-fold (geo.-mean, range 9 – 58-fold), suggesting that PRMNAD yielded potential disease classifiers during this study.

Conclusion: PRMNAD explores regionally and timely explicit disease classification methods at the interface of social sciences and epidemiology. PRMNAD provides accessible expert opinion, facilitates the identification of disease risk factors and examines efficient heuristic disease spread classification strategies to inform modelling of complex animal disease spread.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773701.
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2. Materials and methods: Through a stochastic modeling approach using scenario trees, with the baseline case of France, we quantitatively assessed the risk of rabies introduction in a rabies-free area through pet movements and the impact of previously mentioned management measures aiming at reducing rabies risk along with the associated compliance.

3. Results: Vaccination contributed the most to risk reduction (16-fold risk increase when removed) while serological test had a moderate impact (2-fold risk increase when removed) (Figure 1). The waiting period had a negligible impact on rabies risk reduction. Lack of compliance (especially regarding vaccination) also contributed to increase the risk.

4. Conclusion: Results indicated that vaccination was the most important measure of the current regulation. Promoting respect of this measure thus appears crucial. Promoting serological testing for high risk countries is probably secondary and the waiting period before importations could be reconsidered due to its negligible impact (in addition to low acceptability).

Keywords: rabies; risk; introduction; prevention
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/76a70555ba1f49f2a982f1f7ed38bc6a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","5178adf1-eaeb-4d5b-8fce-b18677488f5a","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Guillaume Crozet","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An entry risk assessment of African horse sickness virus into the controlled area of South Africa through the legal movement of equids","PresentationBio":null,"Title":"Dr.","FirstName":"John","LastName":"Grewar","Position":"","Organization":"South African Equine Health and Protocols NPC","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c00e6399506f449eb9c638c7f9950f50","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: South Africa is endemic for African horse sickness (AHS), an important health and trade-sensitive disease of equids. The country is zoned with movement control measures facilitating an AHS-free controlled area in the south-west. Our objective was to quantitatively establish the risk of entry of AHS virus into the AHS controlled area through the legal movement of horses. Outcomes were subcategorised to evaluate movement pathway, temporal, and spatial differences in risk. A ‘no-control’ scenario allowed for evaluation of the impact of control measures.

Materials and methods: Using 2019 movement and AHS case data, and country-wide census data, a stochastic model was developed establishing local municipality entry risk at monthly intervals. The model was developed in R with 10 000 iterations. Risk was aggregated to annual probability of entry. Sensitivity analysis evaluated model variables on their impact on the conditional means of the probability of entry.

Results: The median monthly probability of entry of AHSV into the controlled area ranged from 0.75% (June) to 5.73% (February) for all movements, with annual median probability of entry estimated at 20.21% (95% CI: 15.89%-28.89%). Control measures decrease annual risk by a factor of 2.8.

Conclusion: The annual risk of entry compared well with the annual probability of introduction of AHS into the controlled area, which is ~10% based on the last 20 years of outbreak data. Direct non-quarantine movements made up most movements and accounted for most of the risk of entry. Even though reported case totals were zero throughout 2019 in the Western Cape, horses originating from this province still pose a risk that should not be ignored. Not only do the outcomes of this study inform domestic control, but they can also be used for scientifically justified trade decision making, since in-country movement control forms a key component of export protocols.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43b008b2-8eab-460a-b708-b149b223981a","a40f7453-5dfa-4c22-bf36-4e487526f525","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. John Grewar","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Predictive risk mapping of introduction of avian influenza in Swedish poultry","PresentationBio":null,"Title":"Dr.","FirstName":"Pascale","LastName":"Stiles","Position":"Epidemiologist","Organization":"National Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d9fa42dce75847beb3f4dc4c70deeef6","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives. The objective of this study is to identify areas in Sweden at higher risk for introduction of highly pathogenic avian influenza (HPAI) to poultry farms.

Materials and methods. We utilized data from prior HPAI outbreaks on Swedish poultry holdings (commercial farms and hobby flocks) spanning 2016-2021. We used the Swedish farm registry to gather information for all registered holdings with poultry or other captive birds in operation from July 2016 through June 2021. A Bayesian spatiotemporal regression model was performed to examine risk factors for HPAI detection on a poultry holding. We investigated the role of target wild bird species (birds in the families Anatidae and Laridae) density, occurrence of HPAI in wild birds, land cover within different buffers of farms and specific farm-level variables, such as species, type of production, whether animals were housed outdoors, and farm size.

Results. There were 31 detections of HPAI on Swedish holdings with poultry or other captive birds between November 2016 and April 2021, with only 7 detections occurring prior to November 2020. HPAI outbreaks in poultry were highly seasonal, with the highest risk during the months of January, February, and March in any given year. Spatially, the highest risk was in the southern county of Skåne, where there was also a high density of poultry holdings. The odds of HPAI detection were higher in holdings within 1 km of at least one HPAI-positive wild bird. Additionally, HPAI detection was positively associated with the target wild bird density within 1 km of the farm’s location.

Conclusion. This study helped to identify high-risk areas where targeted HPAI prevention measures could be applied. Ultimately, this serves to improve animal welfare through reducing the risk of outbreaks as well as avoiding unnecessary interventions, such as housing of poultry indoors, in low-risk areas.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c54f9b9d-8dfb-410e-9187-f32dd54c71fc","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","3c19c60b-bf2c-4701-b93e-3b18208e3913","502f57ff-3ea6-475b-858d-340ec3e1c6e4"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Pascale Stiles","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Qualitative assessment of the probability of introduction and onward transmission of lumpy skin disease in Ukraine ","PresentationBio":null,"Title":"Miss","FirstName":"Dima","LastName":"Farra","Position":"Resident Ecvph","Organization":"University of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Lumpy skin disease (LSD) is a transboundary disease affecting bovine animals which can have a severe economic impact. Ukraine is considered particularly vulnerable to LSD due to its proximity to regions where the virus is circulating and due to its ecological and environmental conditions enabling autochthone transmission. This qualitative risk assessment (RA) aimed to investigate the probability that LSD virus is introduced to Ukraine and, if introduced, the probability propagation in the country within the following year.
The risk assessment followed the OIE guidelines for import risk analysis for animals and animal products and was undertaken with the support of local experts via an expert elicitation workshop. A modified Delphi approach was used to gather expert inputs.
The RA results showed that the pathway with the highest, yet still low, probability of introduction was related to illegally traded cattle. The highest probability of exposure of an animal to the virus and of further onward transmission in Ukraine was related to flying vectors and estimated as \"high\".
During the expert elicitation, the Delphi approach helped to increase the agreement between the experts and was used to assess the uncertainty related to the estimates. This RA helped to identify areas where insufficient data are available. For instance, there is a lack of reliable data on animal movements and bio-security in Ukraine. The elicited probability estimates allowed the experts to generate recommendations for risk management practices. The findings of this study contributed to revise the control strategies for LSD in Ukraine. To our knowledge, this is the first RA performed on LSD in Eastern Europe and the conceptual framework adopted can help other countries interested in conducting a RA in a similar data scarce environment.
Keywords: Lumpy skin disease, Risk Assessment, Ukraine, OIE","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","83ed3dfd-81d4-4ee5-a11b-a287dbe3f4a7","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","43b008b2-8eab-460a-b708-b149b223981a","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Dima Farra","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessment of risk to humans related to Salmonella in bile on pig carcasses","PresentationBio":null,"Title":"Prof.","FirstName":"Lis","LastName":"Alban","Position":"","Organization":"Danish Agriculture & Food Council","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In the European Union, Salmonella is the main zoonotic hazard in pork. Contamination may occur during slaughter e.g., due to spread of fecal material. In 2020, the Danish competent authorities (CA) raised the concern that bile contamination of pig carcasses could be related to exposure of humans to Salmonella. To address this, it was decided to study the prevalence of Salmonella in pig gall.
The study was composed of two parts; an initial pilot study during which an aseptic way of taking samples from gall bladders was developed. This was followed by collection of 299 gall bladder samples from finishing pigs from 28 Danish pig herds. The samples were subjected to standard laboratory investigation. None of them were positive for Salmonella. A simulation model was set up to simulate the number of carcasses contaminated with Salmonella from bile that could be overlooked if the responsibility for handling bile contamination were to rest solely with the food business operator (FBO). The parameters for the model originated from the collected data, the Danish meat inspection database and expert opinion, retrieved from the CA and FBO. Two scenarios were run, a basic and a worst-case.
According to the basic scenario, a median of nine (90% CI: 0-53) carcasses would be overlooked in a production of 16 million finishing pigs in 1 year. Similarly, 103 carcasses (90% C.I.: 7-544) would be overlooked in the worst-case scenario. Compared to the Danish Salmonella programme, the median relative efficacy of focusing on bile-contamination to detect Salmonella was 0.008% in the basic scenario and 0.087% in the worst-case scenario.
In conclusion, the risk to human health associated with Salmonella resulting from bile contaminated finishing pig carcasses was estimated as negligible. Moreover, the FBO has procedures in place to prevent bile contaminated carcasses from leaving the abattoir.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Lis Alban","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantitative risk assessment for beta lactamase producing Escherichia coli of dairy origin in vegetables","PresentationBio":null,"Title":"Mr.","FirstName":"Kohei","LastName":"Makita","Position":"Professor Of Veterinary Epidemiology","Organization":"Rakuno Gakuen University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0c85c06e98c948da8a8bbb09fc502d44","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Outbreaks of food poisoning associated with vegetables contaminated with Esherichia coli have been reported globally. This study was conducted to assess the risk for beta-lactamase (BL) producing E.coli of dairy farm origin in vegetables in Japan.

Materials and methods
A risk assessment model connecting from dairy farms to vegetable farms was developed. The data on incidences of indicate diseases and antimicrobial use, and resistance against BL in E. coli from cattle were obtained from agricultural insurance program, and Japan Veterinary Antimicrobial Resistance Monitoring (JVARM). Microbiological field sampling was conducted in dairy farms and soil after spraying manure. Inoculation experiments in vegetables were conducted.

Results
The proportion of dairy farms with cattle with bla-harboring E.coli was estimated to be 7.1% (95%CI: 5.5-8.8%). In the farms with bla-harboring E.coli, the concentration of bla-harboring E.coli in mixed fresh manure was estimated to be 3.32 log10 CFU/g (95%CI: 3.31-3.32). The concentrations were reduced to 1.51 (95%CI: 1.03-1.96), 1.18 (95%CI: 0.87-1.51), 0.84 (95%CI: 0.34-1.29), and -0.57 log10 CFU/g (95%CI: -1.04- -0.12) in immature manure, slurry, soil after immature manure sprayed, and soil after slurry sprayed, respectively. The concentrations on surfaces of leafy green and tomatoes were estimated to be -2.87 (95%CI: -3.36- -2.42) and -3.81 log10 CFU/g (95%CI: -4.31- -3.36). The concentrations in leafy green was -9.88 (95%CI: -11.52- -8.72). E. coli was not recovered from tomatoes in the experiments.

Conclusion
The risk of ingesting bla-harboring E.coli of dairy origin with raw vegetables in Japan was assessed to be very low.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0c879798-e821-4cff-bf7e-791d4b78ec7f","e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Kohei Makita","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Farm-to-fork quantitative microbial risk assessment (QMRA) of ciprofloxacin-resistant Campylobacter from chicken meat in Canada","PresentationBio":null,"Title":"Ms.","FirstName":"Dana","LastName":"Tschritter","Position":"","Organization":"University of Alberta","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c0a40a68c2a34bab99cb371e6c53f5f5","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Quantitative microbial risk assessments (QMRAs) estimate pathogen transmission and risk and provide insight for risk managers. The objective of this study was to conduct a QMRA for the risk of human illness with ciprofloxacin-resistant (CIPR) Campylobacter from eating chicken in Canada.

Methods: An exposure assessment used data available from federal surveillance programs and peer-reviewed literature to estimate the prevalence and magnitude of total and CIPR Campylobacter at nine key nodes between the farm and home preparation (Figure 1). A novel DRM for CIPR Campylobacter was used (see companion abstract). The probabilities of total and CIPR illness from single servings and incidences in Canada were estimated. Sensitivity and scenario analyses identified critical control points and strategies.

Results: The probabilities of total and CIPR campylobacteriosis from one serving were 0.015% (95% CrI: 0.000082-3.1%) and 0.002% (95% CrI: 0.000012-0.44%), respectively. The likewise incidences per 100,000 population were 1,101 (95% CrI: 6-223,000) and 143 (95% CrI: 1-31,500), respectively. Critical control points for total and CIPR Campylobacter were found at cooking, transportation, and evisceration. Interventions which reduced illness involved the prevalence entering retail, cross-contamination during cooking, and on-farm flock colonization with Campylobacter.

Conclusions: Pervasive knowledge gaps remain a significant hindrance in risk assessments of antimicrobial resistant Campylobacter. This model provides useful insight on transmission of CIPR Campylobacter and risk managements for the Canadian chicken industry.


Figure 1: Estimated prevalences (A) and concentrations (B) of total (blue) and CIPR (red) Campylobacter through the exposure assessment shown as medians and bounded by 5th and 95th percentiles.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7986bc74115a41f098cb566fe3f623a9","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Dana Tschritter","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 4.C - Risk Assessment","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-09T10:00:00+00:00","BaseEndDateTime":"2022-08-09T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-09T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T15:00:00.0000000+00:00"},{"Id":"97c96c1f-0955-4bc8-9a07-31dcd437828d","SessionBlockId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","Name":"Breakout Session 4.E - AMR","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"California's Livestock Antibiograms","PresentationBio":null,"Title":"Dr.","FirstName":"Edie","LastName":"Marshall","Position":"Branch Chief","Organization":"California Dept of Food & Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/23365d55dd0b4590a3166961e66cd8aa","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective:
To develop and promote the use of antibiograms in livestock medicine to aid judicious antimicrobial use.

Materials and Methods:
The California Department of Food & Agriculture’s Antimicrobial Use and Stewardship program partnered with the California Animal Health & Food Safety Laboratory (CAHFS) to create California-specific livestock antibiograms. A multidisciplinary focus group of clinical veterinarians, academics, and public health professionals guided antibiogram design and content. Antibiograms were created using clinical samples submitted to CAHFS with plans to update the antibiograms annually. California law requires veterinary oversight for the use of medically important antimicrobial drugs (Food and Agriculture Code 14400-14408); therefore, access to antibiograms was limited to veterinarians. California veterinarians registered through an online survey that required their license number for verification. The survey, along with a user guide for antibiogram application in clinical veterinary practice, was promoted through social media, newsletters, and veterinary medical associations.

Results:
Antibiograms focusing on bovine respiratory pathogens (Mannheimia haemolytica, Pasteurella multocida, Histophilus somni), sheep and goat respiratory pathogens (Mannheimia haemolytica, Pasteurella multocida), and equine Streptococcus equi ssp. zooepidemicus were created and distributed to over 30 veterinarians. Additional antibiograms are under development.

Conclusion:
This project provided antibiogram access and education to veterinarians to support a One Health approach for antimicrobial stewardship. Antibiograms may be used to guide initial antibiotic therapy and to assess trends in antibiotic resistance, therefore maximizing treatment success and preserving the efficacy of currently available drugs by reducing unnecessary exposure of bacteria.

Keywords:
Antibiogram, antimicrobial resistance, antimicrobial stewardship, judicious use, livestock
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Our objective was to assess veterinary students' knowledge and awareness of antimicrobial properties, such as pharmacokinetics and pharmacodynamics, antimicrobial resistance (AMR), antimicrobial stewardship (AMS), and clinical antimicrobial use (AMU) scenarios to guide educational efforts in the current pre-clinical and clinical curriculum.

Methods:
A repeated cross-sectional study was conducted among Cornell University veterinary students in the Class of 2021 (107 students) using a standardized online survey in August 2020, before their clinical rotations, and in May 2021, after their clinical rotations. Survey questions included confidence questions (Likert-type scale), true/false, and multiple choice.

Results:
A total of 56 participants responded to the pre-clinical survey (26 completed), and 23 responded to the post-clinical survey (17 completed). The average score was 54% in the pre-clinical survey and 53% in the post-clinical survey. In the pre-clinical survey, students had the greatest knowledge of AMR (average score: 80%), followed by AMS (67%), clinical AMU scenarios (48%), and antimicrobial properties (44%). Students had both the highest confidence (60% of participants selected very or somewhat confident) and score in the AMR topic. The AMS topic had the second-highest average score, but students felt the least confident in it (30%). On average, students were aware of two to three AMS guidelines but had read only one, with no difference between the pre- and post-clinical rotation surveys. 62% (pre) and 59% (post) of participants thought that human health care contributed more to AMR than veterinarians.

Conclusion:
Insufficient knowledge on antimicrobial principles and appropriate AMU among veterinary students indicates that more educational efforts and clinical training should be focused on these topics. The practical use of AMS guidelines and veterinarians' responsibility for appropriate AMU should be emphasized. Clinical exposure alone does not sufficiently reinforce important antimicrobial concepts, implying that these topics need to be explicitly addressed in clinical instruction.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","0c879798-e821-4cff-bf7e-791d4b78ec7f","07442f92-20d6-40eb-b297-c4897bc5781e"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Casey Cazer","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Multidirectional dynamic model for the spread of Extended-Spectrum-β-lactamase-Producing E. coli in the Netherlands","PresentationBio":null,"Title":"Mr.","FirstName":"Eduardo","LastName":"Costa","Position":"Researcher","Organization":"WBVR","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/87be7a45e9eb4b0682de204f1408abf8","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: This work aimed to design a multidirectional dynamic risk model with which the contribution of different reservoirs to the extended-spectrum β-lactamase Escherichia coli (ESBL-EC) prevalence in humans can be assessed. The model was used to evaluate the effect of interventions in animal production and the food chain on ESBL-EC prevalence in humans.
Materials and methods: A discrete-time model was built to describe within and between population spread of ESBL-EC in humans (open community), farmers, and broiler flocks. The slaughterhouse and consumer phase (food preparation) were included in the model to account for ESBL-EC transmission via food consumption. The model was parameterized for the Netherlands. An uncertainty assessment was conducted to explore the effect of parameter uncertainty on model results.
Results: The overall probability of colonization at week 200 in the open community was 0.049%. The relative contribution of the open community itself, consumption of food – vegetables contaminated during salad preparation-, and contact with farmers were 62%, 29%, and 9%, respectively. Interventions aimed at reducing the within-flock spread in broilers were most effective in reducing the prevalence in the open community, followed by changes in the meat consumption behavior and hygiene in the kitchen. The uncertain parameters that most affected the model were the colonization and decolonization rates for humans.
Conclusions: The model incorporates different populations mutually transmitting ESBL-EC and accounts for the time dynamics of ESBL-EC spread. Results of the model contribute to a better understanding of the reservoirs contributing to ESBL-EC prevalence in humans. This can help public health policymakers in antimicrobial resistance risk mitigation. The next step is extending the model with additional ESBL-EC reservoirs, e.g., livestock and the environment, resulting in a One Health approach for risk assessment of antimicrobial resistance transmission.

Keywords: antimicrobial resistance, ESBL E. coli, source attribution, risk assessment, multidirectional model

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Eduardo Costa","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial resistance of Escherichia coli isolated from healthy pigs: single vs. pooled samples","PresentationBio":null,"Title":"Dr.","FirstName":"Maria J.","LastName":"Vilar","Position":"","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"To compare the collection of single and pooled samples on AMR of E. coli at herd-level.

National AMR monitoring (single, national-dataset) and a research study (pooled, Molsig-dataset) collected E. coli isolates from the caecum of healthy UK pigs, randomly selected at slaughter. Caecal samples were plated on non-selective (MacConkey-agar) and antibiotic-selective (MacConkey-agar + cefotaxime) media. The national-dataset comprised 150 isolates, each representing one farm. MIC values were determined and interpreted using EUCAST ECOFFs. The Molsig-dataset comprised 263 isolates from pooled samples of 10 pigs per farm (57 farms). BSAC agar dilution method was used to determine MIC, and values interpreted using EUCAST ECOFFs.
AMR against nine antibiotics present in both datasets were compared by generalised mixed-effects models (GLMM), following a binomial distribution with farm as random effect, and by bootstrapped-GLM with 10,000 repetitions, to account for pooling.

Considering non-selective media, the proportion of resistant isolates was similar in both datasets (82.7% and 75.7%). The most common resistance patterns included tetracycline only, and ampicillin and tetracycline together. Isolates resistant to 3 or more antibiotic classes were fewer in the national-dataset than in the Molsig-dataset. National-dataset isolates were all susceptible to colistin, cefotaxime, and ceftazidime, but in the Molsig-dataset were resistant. Differences between datasets were non-significant by GLMM. A bootstrapped-GLM detected significantly lower resistance to ciprofloxacin and nalidixic acid in the national-dataset, highlighting effect of pooling.
In antibiotic-selective media, the proportion of resistant isolates to ceftazidime and to nalidixic acid were significantly greater in the Molsig-dataset, both with GLMM and bootstrapped-GLM. Resistance to ampicillin, cefotaxime, ceftazidime, and tetracycline together was the most common pattern.

The results highlighted that single samples provided similar information to pooled samples for most antibiotic classes, although less AMR to ciprofloxacin, ceftazidime and nalidixic acid were detected in the single samples.

AMR, single vs pooled samples, E.coli, pigs","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Maria J. Vilar","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A review of the evidence landscape to parameterize a One Health model of AMR in a Swedish food system: Using expert knowledge in the interim?","PresentationBio":null,"Title":"Miss","FirstName":"Melanie","LastName":"Cousins","Position":"Graduate student","Organization":"University of Waterloo","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
Our study explored the possibility of quantifying an existing model consisting of 92 factors deemed important to the emergence and transmission of antimicrobial resistance (AMR) in the Swedish food system and the creation of a mixed-methods model of the system.

Materials and Methods
We performed a scoping review to identify: (1) current models representing different parts of the One Health system, and (2) existing data to inform such models in a Swedish context. A content analysis was performed on transcripts from a previously conducted workshop of experts engaged in AMR and its upstream drivers to help parameterize the system model. A fuzzy cognitive map of the system was created with the nodes and relationships for which data existed from the literature search and content analysis.

Results
We identified 146 articles describing models that addressed many aspects of the One Health system and 414 sources with data to inform 64 of the 92 previously identified nodes. The content analysis identified quantitative statements to inform 83 nodes, 48 nodes already identified in the model and 35 new nodes. Nodes and relationships were inputted into a fuzzy cognitive map to represent the system.

Conclusion
The identified models were disparate, primarily quantitative, and not integrated. There was extensive data available to inform many of the nodes deemed important drivers of AMR. However, the data were reported in formats not useable for quantitative modelling. There is much knowledge within the literature, however considerable work is needed to determine how to combine knowledge sources to create a comprehensive model and understanding of the food system. Our experts' tacit knowledge helped expand our understanding of the system. The data from the literature search and content analysis was combined using fuzzy logic into a mixed-methods model.

Key Words
Mixed-methods, Fuzzy logic, Scoping Review, Antimicrobial Resistance, One Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Melanie Cousins","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Development of an Integrated Assessment Model of Colonization with Extended-Spectrum Beta-Lactamase-Producing Escherichia coli in the Households of Canadian Adults","PresentationBio":null,"Title":"Ms.","FirstName":"Jamie","LastName":"Goltz","Position":null,"Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/709b19a10bb1485096fb06c62fec61da","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The goals of this project were to 1) develop a base model framework to estimate human colonization with resistant microorganisms, and 2) use the model to evaluate the influence of factors for human colonization with extended-spectrum beta-lactamase-producing Escherichia coli.
Materials and methods: An existing integrated assessment model for antimicrobial resistance in animals along the agri-food system was adapted for modelling in humans. To validate the model structure, a scenario model was run that evaluated exposure to extended-spectrum beta-lactamase-producing Escherichia coli in Canadian adults within their household (i.e., where individuals reside). Data from published literature identified in a previous review, government sources, and expert consultation were used to parameterize the model.
Results: A framework was created based on the existing integrated assessment model that can incorporate data and assess the influence of different drivers of antimicrobial resistant microorganisms in humans in different settings. Ongoing analyses include scenario-based evaluations of the impact of select factors on colonization with extended-spectrum beta-lactamase-producing E. coli in adults within their households.
Conclusion: This model is important for evaluating the impact of different potential drivers of human exposure to antimicrobial resistant bacteria from human, animal, and environmental sources. The base model will permit different scenarios to be run, and will improve our understanding of the relative contribution of different factors and locations for potential exposure to extended-spectrum beta-lactamase-producing Enterobacteriaceae. Finally, this tool has the potential to be modified to explore exposure pathways for different resistant microorganisms and can inform development and implementation of interventions to combat antimicrobial resistance.

Keywords: Antimicrobial Resistance, Statistical Modelling, One Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jamie-goltz-661175133","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jamie-goltz-661175133","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jamie-goltz-661175133","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/jamie-goltz-661175133","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Jamie Goltz","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Managing the spread of antimicrobial resistance through awareness creation and community sensitization","PresentationBio":null,"Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Organization":"International Livestock Research Institute, Uppsala University and Swedish University of Agricultural Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The purpose of this study was to raise awareness and knowledge about AMR and antibiotic use among dairy farmers, paravets (veterinary assistants), and veterinarians. Different methodologies were investigated, and knowledge changes were measured.

Materials and methods
The study was conducted in September-December of 2018 in four states of India. It had two parts, intervention part (September-October 2018) and follow-up survey (November-December 2018). The villages were randomly allocated to either one of the three intervention approaches (1-classic AMR; 2-animal health; 3-animal health plus AMR) or to be a control. A follow up survey was done to assess the effect of interventions.

Results
In total, 274 dairy farmers and 51 veterinary professionals (21 veterinarians and 30 paravets) participated in the follow up survey. 69% of the dairy farmers and 84% veterinary professionals were a part of the intervention survey before. The average knowledge score in farmers was 7.8.It was found that the knowledge score was higher in farmers who had participated in earlier focus group discussions (p<0.05), had received intervention in approach 2 (animal health, p=0.03), or approach 3 (animal health plus AMR, p=0.01), and were females (p=0.03).

Conclusion
Our study identified that most of the people who participated in the discussions in the intervention stage showed an improvement in the awareness levels. The veterinary professionals had good knowledge but lacked the interest in training the farmers about antimicrobial resistance. Regular awareness programs must be conducted for the dairy farmers to increase knowledge about antibiotics and avoid inappropriate use. Also, the veterinary professionals should be given frequent trainings on how to make the farmers understand leading to a behavioral change.

Keywords: Antibiotics; Animal health; Antibiotic resistance; Dairy farmers; Veterinarians","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","43f42602-f380-4a8a-9da3-ce05b383dc09","e38fdbff-06ce-4925-a92e-8faaaf3278a6","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Johanna Lindahl","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 4.E - AMR","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-09T10:00:00+00:00","BaseEndDateTime":"2022-08-09T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-09T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T15:00:00.0000000+00:00"},{"Id":"7773fd23-faf6-43a7-8675-56fdf517823b","SessionBlockId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","Name":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":"Our impression is that many of us struggle with making epidemiology palatable for the undergraduate students, and that the topic can be viewed as irrelevant by some recipients. A focused session on teaching might inspire ISVEE-delegates to deliver better education in the future, and potentially to have more fun while doing so. The special session program contains veterinary epidemiologists from universities around the world. They will give brief presentation on what is currently being taught and how, followed by a joint discussion. ","Overview":"Chairs: Ane Nødtvedt & Ian Dohoo","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Essential epidemiology for veterinary graduates - overview and introduction to session","PresentationBio":"Jenny-Ann Toribio, Associate Professor in Epidemiology at the Sydney School of Veterinary Science, is a veterinary epidemiologist with a career commitment to innovative training in veterinary epidemiology. Jenny-Ann has developed curriculum in epidemiology and veterinary public health for BVSc, DVM and Masters programs, and for the training of field veterinarians as a member of the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE). She contributes to the evaluation of epidemiological skills among veterinary colleagues as Head Examiner for Membership in the Epidemiology Chapter of the Australian and New Zealand College of Veterinary Scientists. Her applied research focuses on biosecurity, emergency animal diseases and zoonoses in Australia, southeast Asia and the Pacific.

","Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To scope the epidemiology content in current veterinary curricula and the views of veterinary students and veterinarians on it.


Materials and methods:
Accreditation requirements for veterinary degrees and curricula from veterinary schools were reviewed to identify the epidemiology content that is required in a veterinary degree and to consider its presentation in current veterinary curricula. The views of veterinary students and of veterinarians about epidemiology in veterinary degrees reported in the literature were also reviewed.

Results:
Based on the requirements for international accreditation of a veterinary degree, the essential epidemiological content is: 1. Epidemiological features of diseases, 2. Investigation involving data skills, 3. Research methods and critical appraisal, 4. Diagnostic test applications. Curricula that include topics such as risk analysis and require individual student conduct of research may be extending beyond the essential content for reasons related to the university context or to registration (of an omnicompetent or unicompetent veterinarian). The presentation of epidemiological content varies across veterinary curricula from stand-alone units, to partial integration and on to full integration, and the contributors to presentation type are considered. Differing views on the importance of epidemiology are reported for veterinary students and for veterinarians in the few studies published to date.

Conclusion:
Although there is large agreement among accreditation bodies on the essential epidemiological content for a veterinary degree, there is considerable variation in content across veterinary curricula which in some instances may exceed requirements. This special session will explore what we are teaching, how we are teaching it, and grapple with questions about the epidemiological knowledge, skills and attitude that need to be attained for a veterinary student to be career ready at graduation.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:00:00","EndTime":"10:20:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Jenny-Ann Toribio","TimeDisplay":"10:00 AM - 10:20 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Why do we teach what we teach, and does it meet the needs of our fellow lecturers?","PresentationBio":"Employment
Since 2014\tFull Professor and Head of Institute for Vet Epidemiology (FU Berlin)
2006 – 2014\tAssociate Professor and group leader, Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Switzerland
2002 - 2006\tSenior researcher in veterinary epidemiology, Vetsuisse Faculty, Universi-ty of Bern, Switzerland
1998 - 2001\tPost-doctoral researcher for BSE/Scrapie epidemiology and control, Swiss Federal Veterinary Office Vetsuisse Faculty, University of Bern, Switzer-land
1991-1993\tPostdoctoral researcher in veterinary parasitology, Hannover School of Veterinary Medicine, Germany

Education
2002\tHabilitation (senior lecturer qualification) for Veterinary Epidemiology
2002\tNational Specialist Recognition in Veterinary Epidemiology
2002\tde facto Diplomate of the European College for Veterinary Public Health
1993 - 1997\tPhD in analytic epidemiology, Epidemiology Graduate Group, University of California, Davis (USA)
1989 – 1991\tDr. med. vet. Thesis in veterinary parasitology, University of Veterinary Medicine Hannover/Germany
1983 - 1989\tStudies of Veterinary Medicine, University of Veterinary Medicine Han-nover/Germany

Research
•\tMonitoring and surveillance of diseases in populations
•\tApplication of analytic epidemiology / statistics on disease-related problems
•\tValidation of diagnostic test systems
•\tAnimal disease modelling and animal health risk assessment
•\tVeterinary Public Health
•\tVeterinary Profession, Veterinary Education

Further affiliations & activities
•\tExpert in various EU / EFSA working groups, AHAW Panel Member (2009-2012)
•\tAssociate Dean for Teaching, Veterinary Faculty, Freie Universität Berlin (2015-2019)
•\tAssociate Editor for Preventive Veterinary Medicine (2004 – 2019), Co-Editor-in-Chief (since 2020)
•\tRegistered ESEVT expert for basic sciences, European Association of Establishments for Veterinary Education (EAEVE)

","Title":"Mr.","FirstName":"Marcus G","LastName":"Doherr","Position":"Full Professor","Organization":"Freie Universität Berlin","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/743d0c693c7f4a0da2347df919691de4","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The duration and focus on veterinary education varies considerably, and epidemiological content might be taught as a separate subject, mixed with biostatistical topics or embedded in other subjects, which highlights the interdisciplinary application of epidemiological and biostatistical principles. An often-raised question is what to teach in an introductory course in (veterinary) epidemiology.

Materials and Methods
Among the epi/biostats lecturers at the veterinary schools in Austria, Switzerland and Germany it became evident that the content that we offered had a biostatics focus and followed standard statistics textbooks. We initiated a survey among fellow lecturers of other subjects in the veterinary curriculum and asked them to rank a list of approx. 50 statistical and epidemiological competencies for relevance to their own subjects; i.e. should students know this when entering their respective course.

Results
The ranked list was used to select those competencies seen as most relevant for later subjects in the curriculum and design a one-semester (28 lecture hours) course was designed around these learning objectives and implemented in parallel at two of the veterinary schools involved. The outcome assessment showed that there was a strong correlation in final exam results between the two cohort, despite fact that they were delivered in different years (1st vs 2nd year) and by different lecturers.

Conclusions
But do we teach the “right” stuff? Do we need additional (mandatory) courses named “epidemiology” to bring our message across, or should we sneak into the minds (and courses) of our fellow lecturers and teach bits and pieces of epi and biostats where its direct application can be demonstrated. Or even be more extreme and decide that statistics should be a prerequisite to enter veterinary school and “real” epidemiology is something for postgraduate degree programs when participants want to do population level research.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:20:00","EndTime":"10:32:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Marcus G Doherr","TimeDisplay":"10:20 AM - 10:32 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemiology education in the veterinary curricula – the current state of affairs","PresentationBio":"Brandy A. Burgess, DVM, MSc, PhD, DACVIM, DACVPM, is currently an associate professor of epidemiology and infection control in the Department of Population Health, the Director of Infection Control and Biosecurity at the Veterinary Teaching Hospital, and the Interim Assistant Dean for Clinical Services in the College of Veterinary Medicine at the University of Georgia, in Athens, Georgia. She earned her DVM from Colorado State University, followed by a MSc, internship and residency in large animal internal medicine at the Western College of Veterinary Medicine, University of Saskatchewan, Canada. She then completed a PhD in epidemiology and residency in infection control and biosecurity at Colorado State University. She is a diplomate of the American College of Veterinary Internal Medicine and of the American College of Veterinary Preventive Medicine. Dr. Burgess’ current research efforts focus on investigating the epidemiology of important potential pathogens in veterinary medicine and public health including the exploration of risk factors and rapid methods for detection; the development of evidence-based prevention and control strategies; and clinical decision making and epidemiology education.

","Title":"Dr.","FirstName":"Brandy","LastName":"Burgess","Position":"Associate Professor","Organization":"University Of Georgia","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Epidemiology, considered one of the basic sciences in clinical medicine, is integral to clinical practice. In fact, the American Veterinary Medical Association Council on Education specifically identifies instruction in the principles of epidemiology to be core content in the veterinary curricula. Unfortunately, veterinary students tend to under appreciate its relevance to their lifelong learning and future practice. As a result, student engagement and content delivery can be a challenge for educators. The objective of this study was to characterize core epidemiologic content, delivery, and learning strategies employed by educators in the veterinary curricula.

Materials and methods: An on-line survey was conducted in the Fall of 2015 and Summer of 2022 of epidemiology educators responsible for delivery of core epidemiological content in the professional veterinary medical curricula at colleges in North America and abroad. The Associate Dean for Academic Affairs, or their equivalent, at each institution was contacted to identify educators responsible for delivery of this content at their respective institutions, both past and present. Subsequently, each identified educator received a personal invitation to participate in the survey. Additionally, epidemiology educators were invited to participate through postings on professional membership listservs and an epidemiology educators’ forum was conducted to develop a deeper understanding of the issues.

Results: Survey participants included educators from North America and abroad, with the majority being contemporary teachers with at least 5 years of experience. In general, educators delivered content in a stand-alone course and facilitated learning through lectures and activities.

Conclusion: This study provides a consensus on core content that we should strive to incorporate into the veterinary curricula, offers insights into the impact of the pandemic on delivery of this content, and a suggests a pathway for the future of veterinary epidemiology education.

Key words: Epidemiology, education
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:32:00","EndTime":"10:44:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Brandy Burgess","TimeDisplay":"10:32 AM - 10:44 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Use of reporting guidelines in teaching veterinary epidemiology","PresentationBio":"Dr. Jan M. Sargeant has a DVM degree and an MSc and PhD in Epidemiology from the Ontario Veterinary College University of Guelph. After working at Kansas State University in the US and McMaster University in Canada, she has been on faculty at the University of Guelph since 2007; she a professor of Epidemiology in the Department of Population Medicine at the Ontario Veterinary College, the founding Director of the Centre for Public Health and Zoonoses (2007-2019), and a Fellow of the Canadian Academy of Health Sciences. Jan’s current research interests are the epidemiology of zoonotic pathogens (including foodborne pathogens and antibiotic-resistance), linking research across disciplines and among animal health and human health communities, and evidence-informed decision-making in agri-food public health. She is a co-lead and co-author of the REFLECT and STROBE-Vet reporting guidelines for clinical trials and observational studies in animal populations.

","Title":"Dr.","FirstName":"Jan","LastName":"Sargeant","Position":"Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Reporting guidelines are available for many study designs. For veterinary species, these include REFLECT for livestock trials, ARRIVE for animal models, and STROBE-Vet for observational studies. Reporting guidelines are a tool to assist authors, peer-reviewers, and journal editors in ensuring comprehensiveness of reporting in scientific manuscripts. Are these guidelines useful for teaching epidemiology to veterinary students? The answer may depend on the student. For those involved in research or interested in research in the future, reporting guidelines are a valuable aid for scientific writing. For students who do not intend to conduct research, reporting guidelines still may be a valuable tool for teaching epidemiological principles by mapping the components of reporting guidelines to skills that we want students to learn. Some of the items in reporting guidelines are included to allow the reader of a scientific report to evaluate feasibility, other items are included to provide the information needed to access the external validity of a study. Still other items are linked to best practices for conducting studies for specific study designs. Finally, some items in the reporting guidelines are included to provide the information needed to assess the internal validity (potential for bias) in a study. Thus, reporting guidelines could be used in conjunction with critical appraisal tools to improve students’ ability to evaluate scientific evidence when making clinical decisions. This would complement an Evidence-based Veterinary Medicine approach, where students use research evidence as a component of clinical decision-making. Thus, using reporting guidelines may help students to become more critical consumers of scientific literature. However, reporting guidelines provide a checklist of what should be reported. Moving beyond a checklist to an understanding of the importance of each component of reporting guidelines to evidence quality is not a trivial undertaking. Is there time to teach this in the veterinary curriculum?","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:44:00","EndTime":"10:56:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jan Sargeant","TimeDisplay":"10:44 AM - 10:56 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Application of epidemiology into a clinical realm: Teaching absolutes or substitutes?","PresentationBio":"Marnie Brennan is an Associate Professor in Epidemiology and a European and RCVS Recognised Specialist in Epidemiology. She directs the Centre for Evidence-based Veterinary Medicine, a research and knowledge exchange centre aiming to conduct research focused on the needs of the veterinary professions whilst providing training and evidence-based resources for undergraduates and post-registration professionals to utilise in clinical practice.
Marnie’s areas of interest include study design, both from a creation (research) and assessment (appraisal) perspective, and approaches for stakeholder engagement. She also has a special interest in preventive medicine, particularly biosecurity, within a range of animal settings.

","Title":"Dr.","FirstName":"Marnie","LastName":"Brennan","Position":"Associate Professor In Epidemiology","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The importance of epidemiology to the veterinary profession has previously been recognised, with knowledge about concepts relating to outbreak investigation processes, assessment of diagnostic test performance and preventive medicine initiatives being an important part of veterinary practice. Evidence-based veterinary medicine (EBVM) provides an opportunity for reinvigoration of the way epidemiological principles could be taught to students. However, the intense and fast-paced nature of clinical veterinary practice does little to facilitate veterinary professionals being able to apply the principles of EBVM into practice. This includes being able to search for the latest research, critically interpret research findings including how and what outcomes are measured, and making decisions about whether the results (e.g. measures of association, confidence intervals etc.) could be applied to the specific case scenarios seen within their particular practice environment.

There is a need for using a creative approach when teaching the fundamentals of EBVM and its associated epidemiological principles to veterinary undergraduates. Bringing these important concepts to the next generations of veterinary professionals will equip them with skills for lifelong learning and resilience needed in today’s rapidly evolving profession. This presentation will introduce these concepts and will briefly describe our pragmatic approach to teaching them.

Keywords: evidence-based veterinary medicine; EBVM; teaching epidemiology
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:56:00","EndTime":"11:08:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Marnie Brennan","TimeDisplay":"10:56 AM - 11:08 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Co-Presenting: Application of epidemiology into a clinical realm: Teaching absolutes or substitutes?","PresentationBio":"Lisa graduated from the Ontario Veterinary College at the University of Guelph, Canada in 2000 and has a Master’s degree in Veterinary Epidemiology from the Royal Veterinary College and the London School of Hygiene and Tropical Medicine. Prior to training as a vet, she taught and did research and method development in the field of Medical Laboratory Science. Lisa has provided services to and been an employee of Cats Protection in various capacities: providing clinical services as a private practitioner, as Head of Veterinary Services from 2003 - 2005, and as Field Veterinary Officer from 2009-2018. She has also worked at the Royal Veterinary College as a research associate for various contract research projects. In 2018, Lisa joined the team at the University of Nottingham School of Veterinary Medicine and Science. Lisa's professional interests include shelter medicine, clinical epidemiology, evidence-based medicine and feline medicine. She is treasurer of the Association of Charity Vets, and an Associate Editor for Vet Record.

","Title":"Ms","FirstName":"Lisa","LastName":"Morrow","Position":"Teaching Associate in Veterinary Sciences","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[],"CoAuthors":[],"StartTime":"10:56:00","EndTime":"11:08:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms Lisa Morrow","TimeDisplay":"10:56 AM - 11:08 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Supporting evidence-based veterinary practices – from the classroom to the consult room","PresentationBio":"Dr Charles Caraguel is an Associate Professor in Veterinary Epidemiology at The University of Adelaide and is a member of the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE). Although Charles learnt about epidemiology through aquaculture health management, he now teaches and applies advanced quantitative epidemiological methods across a range of host species and health disorders. Charles' enthusiasm is contagious so please respect due social distancing when you meet him.

","Title":"Dr.","FirstName":"Charles","LastName":"Caraguel","Position":"Associate Professor","Organization":"The University of Adelaide","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f84e650d91c14a8b846454c15a3314ca","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Effective practice of evidence-based veterinary medicine (EBVM), requires scientific as well as clinical skills to make informed recommendations about the aetiology, diagnosis, treatment or prognosis of an individual patient. Some veterinary curricula have recently integrated compulsory research training. This includes dedicated EBVM classes where students learn, among other skills, how to source the best current veterinary evidence from the literature. Although current practitioners most likely ‘forage’ evidence from expert-based resources ‘pushed’ to their attention, it is expected that modern EBVM practitioners will want to also ‘hunt’ and ‘pull’ primary peer-reviewed literature when accessible evidence syntheses or summaries are lacking.

Multiple searchable databases that index and abstract articles exist but none have a comprehensive coverage of the veterinary-related journals and it is recommended searching more than one database. Some of those databases are freely searchable (e.g. Medline), however, the most comprehensive ones for veterinary evidence require a subscription (e.g. CAB Abstracts). Similarly, some of the searching interfaces that provide access to several databases at once are also not free (e.g. Web of ScienceTM). Subscription to databases does not provide access to full text articles. Despite the increasing number of open-access articles, additional subscription to individual publisher(s) may be required.

Educational institutions usually provide full or partial subscriptions to databases, search interfaces and articles for in-training students. Despite individual subscriptions being available, they are rarely affordable and we suspect that graduates lose access to primary evidence in practice. Although the membership to some professional organisations may include these services, the relevance and coverage of the accessible literature remains uncertain.

Using a convenient selection of countries, we surveyed if veterinary professional organisations offer access to closed databases and full articles to their members. The results of the survey will be presented and the relevance of training veterinary scientists will be discussed accordingly.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"11:08:00","EndTime":"11:20:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Charles Caraguel","TimeDisplay":"11:08 AM - 11:20 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Discussion: Teaching veterinary epidemiology – who, what, when and how? ","PresentationBio":null,"Title":"Mr.","FirstName":"Ian","LastName":"Dohoo","Position":"Professor Emeritus","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cc773842c852438894f8ea4e104a1d09","IsPresentingAuthor":false,"Order":7,"Documents":[],"CoAuthors":[],"StartTime":"11:20:00","EndTime":"12:00:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Ian Dohoo","TimeDisplay":"11:20 AM - 12:00 PM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum
Chairs: Ane Nødtvedt & Ian Dohoo","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-09T10:00:00+00:00","BaseEndDateTime":"2022-08-09T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-09T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T15:00:00.0000000+00:00"},{"Id":"e0cb57a4-e82b-4ad8-8753-62079f423f47","SessionBlockId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","Name":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Owner and veterinary professionals differ in their perceptions of preventative and treatment healthcare needs in dogs","PresentationBio":null,"Title":"Dr.","FirstName":"Carri","LastName":"Westgarth","Position":"Senior Lecturer","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4358cd2df7f24800b555c9f2b0cc0343","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives:
The perceptions of dog owners (DO) and veterinary professionals (surgeons/nurses, VP) can impact preventative healthcare and treatment provided to dogs, especially at the senior life stage, when age-related diseases become more common. This study investigated attitudes to dog healthcare and compared DO and VP.

Materials and methods:
Data from two online surveys (DO: N=636, VP: N=305) were used to compare the perceived need for veterinary visits, vaccinations and prevalence and importance of 48 clinical signs. DO were subdivided into two groups: those whose dog had experienced each sign (DOE), and those who had not (DOU). All DO and VP rated each sign on their urgency to seek veterinary advice. Groups were compared using descriptive statistics and chi-squared (post-hoc tests with Bonferroni correction).

Results:
DO most often believed a “healthy” senior dog (>7 years) should go to the vet once a year (46.5% DO vs. 25.2% VP, P<0.001) compared to VP who most often believed every 6 months (39.2% vs. 72.8%, P<0.001). 14.3% of DO would only take the dog if they got sick compared to only 0.3% of VP who believed this should be the case (P<0.001).
Nearly all VP (92%) believed that dogs of all ages should receive yearly vaccinations, however, 28% of owners’ dogs were not vaccinated in the previous year, and of these 33% did not believe that older dogs need vaccinations.
The three most common clinical signs were slowing down on walks (57% of dogs), dental tartar (53%) and being stiff on rising (50%). VP rated all signs as more important to seek care, and DOE rated the importance as lower than DOU (P<0.005).

Conclusion:
Dog owners and veterinary professionals differ in their opinions about canine healthcare seeking behaviour, highlighting the need for different educational initiatives, and more effective communication between DO and VP.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["19e01dc9-22cb-4850-9e42-985898b24c36","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Carri Westgarth","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"What Australian dog owners know about canine inherited diseases","PresentationBio":null,"Title":"Miss","FirstName":"Alexandra","LastName":"Green","Position":"Postdoctoral Researcher","Organization":"The University of Sydney","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f36b6b5871bf48f680884b66921596b8","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Canine inherited diseases (CIDs) compromise the health and welfare of dogs, but some dog breeds considered less healthy by veterinarians remain a popular choice for dog owners. This study was conducted to investigate dog owners’ awareness of CIDs and the risk factors associated with gaps in their knowledge.

Materials and methods
Primarily targeting an Australian audience, an online questionnaire was conducted, comprising questions related to dog and owner demographics, dog ownership, and breed and disease. Two separate binary (y/n) outcome variables were selected for analyses: (1) dog breed standards may make some breeds of dogs prone to some diseases and (2) I am familiar with the term “canine inherited diseases”. Data were analysed with descriptive statistics alongside univariable and multivariable binomial logistic regression models.

Results
Ninety-one percent (1717/1893) of respondents believed that dog breed standards may make some breeds of dogs prone to some diseases. Respondents who were dog breeders (p<0.001) and learned about diseases through a breed club (p=0.02) were less likely to believe this to be true. By contrast, respondents who neutered their dogs (p=0.002) were more likely to believe this to be true.

Seventy percent (1323/1893) of respondents were familiar with the term “canine inherited disease”. Respondents who were dog breeders (p<0.001), had an animal-related career (p<0.001) and had learned about diseases through a breed club (p=0.003) were more likely to be familiar with the term. However, respondents aged 25 to 34 years were less likely to be familiar with this term than those 65 and older (p=0.007).

Conclusion
Through identifying deficiencies in owners’ knowledge and the groups of people who are most susceptible, strategies can be designed to improve and implement education on CIDs, leading to the enhancement of the health and welfare of companion dogs.

Keywords
Dog; canine inherited diseases; Australia; knowledge

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A life table is a tabulated expression of life expectancy and probability of death at different age groups of a given population. This study aimed to develop first life tables for the general UK companion dog population and also by sex and common breeds.

Materials and methods
The analysis included 30,563 dogs in the VetCompass Programme with electronic patient records showing evidence of a confirmed death at any date from January 1st 2016 to July 31st 2020. Cohort life tables were constructed by calculating seven parameters, including annual mortality risk and annual life expectancy. The 95% confidence interval (CI) for annual life expectancy was generated using empirical bootstrapping with 10,000 iterations.

Results
The overall life expectancy at age 0 was 11.23 (95% CI: 11.19−11.27) years. The annual mortality risk increased with age with an exception of year intervals 1−2 (0.017) to 2−3 (0.016). Female dogs (11.41 years; 95% CI: 11.35−11.47) had a greater life expectancy than males (11.07 years; 95% CI: 11.01−11.13) at age 0. Life tables varied widely between breeds. Among common breeds, Jack Russell Terrier (12.72 years; 95% CI: 12.53−12.90) had the longest and French Bulldog (4.53 years; 95% CI: 4.14−5.01) had the shortest life expectancy at age 0. Breeds including American Bulldog, Chihuahua, English Bulldog, French Bulldog, Husky and Pug had a higher mortality risk before reaching adulthood than the overall dogs.

Conclusion
Life tables generated by the current study confirm substantial breed-related variation in longevity, offer novel insights and applications to improve canine health and welfare, and promote the understanding of life expectancy in the veterinary profession and pet owners.

Keywords: VetCompass, life expectancy, mortality, lifespan, primary-care
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","19e01dc9-22cb-4850-9e42-985898b24c36","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kendy Tzu-yun Teng","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Pet Atlas: Summarizing owned pet populations in the Prairie Provinces of Canada ","PresentationBio":null,"Title":"Dr.","FirstName":"Tasha","LastName":"Epp","Position":"Professor","Organization":"University of Saskatchewan","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cb15b10e52714e8d80550cd35eae746d","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objective(s) - This survey is part of a larger project developing a Companion Animal Surveillance Initiative for western Canada to establish baseline burden of disease information to inform animal and public health decision making. This survey focused on the creation of a Pet Atlas, a collection of pet specific demographic information for the three Prairie Provinces of western Canada (Saskatchewan, Manitoba and Alberta) which would assist in exploring the representativeness of veterinary clinic-based surveillance.
2. Materials and methods - A telephone-based survey was conducted in October 2021 to obtain a western Canadian representative sampling of households to detail demographics of the owned pet population (dogs and cats) as well as the utilization of animal and veterinary health services. The data was analyzed accounting for sample weighting, with and without post-stratification by household variables (occupancy and household type).
3. Results – A total of 3055 respondents answered the survey representing 263 unique Forward Sortation Areas (99%) within the three Prairie Provinces. Roughly a third of households in the survey reported owing at least one dog (37.1% weighted average; 33.4% MB; 34.1% SK; 38.9% AB), with approximately 1.4 dogs per household. Based on this data, the overall estimate of the dog population in Prairie region is 1.3 million dogs. Overall, of the 1530 dogs in the survey, 93% percent have reportedly visited a veterinary clinic at least once in the previous 3 years. Further analysis will explore dog population parameters overall and within geographic regions.
4. Conclusion - The Pet Atlas will summarize the demographics of, sources of, and resources used by owned pet population, serving as a population-based, geographical reference for comparison of studies conducted in veterinary medicine. In particular, the data generated will allow a method of estimating the representativeness of a veterinary clinic-based surveillance initiative.

Keywords: weighted survey;
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","df5d618c-3702-4d9c-95b6-0ad39c8b6184","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Tasha Epp","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A simulation model to study the effects of dog density on illness and release rates in animal shelters","PresentationBio":null,"Title":"Dr.","FirstName":"Kimberly","LastName":"Woodruff","Position":"Associate Clinical Professor","Organization":"Mississippi State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The animal sheltering system in the United States is complex, with many moving parts that affect an organization’s ability to care for a dog and provide a successful outcome. Decisions made regarding the size of the population in the care of the shelter, whether to euthanize animals, disease control strategies, and how quickly animals get released may ultimately affect the health of the animals in the shelter and the rate at which animals get adopted or transferred. The objective of this study was to develop a systemic dynamics model to simulate how decisions made regarding animal intake, population management, and release affect animal health and adoption rates. This goal of this tool is to help educate and inform policy for veterinarians, animal shelter employees, and that can be extrapolated to other animal populations.

Materials and Methods: A system dynamics model of the dog sheltering system was developed using Vensim DSS modeling software and was informed with data from an in-person survey that was conducted of 348 shelters across 5 states (Mississippi, Pennsylvania, Michigan, Colorado, Oklahoma). Parameters that can be modified as part of a “flight simulator” interface are intake rate, length of stay, death rate, duration of illness, euthanasia rate, intake rate, initial dog population, and the illness prevalence.

Results: The model simulates increases and decreases in sick animals based on dog density and contact with infected individuals.

Conclusion: This model demonstrates that increases in dog population within a shelter lead to increased disease, increased length of stay, and, long-term, decreased adoption rates.

Key words: systems dynamics, shelter capacity, disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","df5d618c-3702-4d9c-95b6-0ad39c8b6184","19e01dc9-22cb-4850-9e42-985898b24c36","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kimberly Woodruff","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Outbreak of Severe Vomiting in Dogs Associated with a Canine Enteric Coronavirus","PresentationBio":null,"Title":"Miss","FirstName":"Charlotte","LastName":"Appleton","Position":"PhD Student","Organization":"Lancaster University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/13c6173b72664ce78e9fa9166cc9410f","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The main objective of this research is to build a method for real-time anomaly detection in streaming case record data from small animal veterinary practices in the UK.

The dataset is provided by SAVSNET and contains all consult information for 297 practices with an average of 20,000 consults a week dating back to March 2014. The method of analysis chosen for the dataset is Gaussian process regression (GPR). This method lears the covariance structure of an evolving case data timeseries, enabling the classification of future observations into “normal”, “suspect”, and “abnormal”. This method can help highlight anomalies within the data. We ran this method on the consults with a main presenting complaint of Gastroenteric related symptoms.

GPR allows us to account for unstructured seasonality within the case timeseries, such as yearly increased gastroenteric consultation incidence-ing August and December. This method detected a sudden outbreak of gastroenteric illness in dogs in January 2020 and later confirmed by laboratory investigation to be Canine Enteric Coronavirus. The results also showed the effect of the multiple lockdowns in the UK with the veterinary surgeries only seeing very ill animals.

In conclusion, the GPR method was able to detect an outbreak within dogs. However, the GPR is only as good as the data fed into it so there is an issue of it learning from the abnormal data that the multiple lockdowns provided, so this method of choice is the less appropriate one without major alterations to the method through introduction of a lockdown variable.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2c388faa910c4a43a468b82579de28dc","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c54f9b9d-8dfb-410e-9187-f32dd54c71fc","33998207-8c57-4717-9114-ccf9182e92bf","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Charlotte Appleton","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"“He’d be happier if he wasn’t chonky” – Qualitatively exploring perceptions of canine obesity using online comments","PresentationBio":null,"Title":"Miss","FirstName":"Imogen","LastName":"Lloyd","Position":"","Organization":"University of Liverpool","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"
Key words: Canine; Obesity; Overweight; Qualitative

Objectives
Canine obesity is one of the top welfare concerns facing pet dogs. Owners are often unable to successfully recognise and manage their dog’s condition, even with assistance from veterinarians. The aim of the current study was to appraise people’s perceptions, attitudes and decision-making around canine obesity and weight management, by analysing comments made in online public fora and about online video clips.

Materials and methods
Data comprised 450 posts on 15 threads from online discussion fora and 637 comments posted about 5 videos published online (at www.youtube.com). Threads and videos chosen represented a diversity of topics, dog breeds, and a range of overweight severities. Data were anonymised and analysed using thematic analysis.

Results
Four key themes emerged: 1) Happiness vs health – Individuals appeared to balance their responsibility in providing their dog with happiness and health, and differences in emphasis placed on these impacted decision-making around feeding habits and weight management; 2) Need vs. greed – Individuals felt compelled to alleviate perceived hunger in their dog, which made sticking to reduced food diets difficult for some; 3) Minimising – Individuals varied in the extent to which they perceived excess body fat to be problematic, and language used to describe their dog’s body changed when excess body fat was seen as an issue; 4) Control – Individuals’ perceived control over their dog’s body condition and food intake varied hugely, with some owners believing they had little to no control.

Conclusion
Whilst such publicly available data need to be interpreted with caution, due to a self-selection bias, this study has provided valuable insight into factors that impact feeding practices, and could impact compliance with weight reduction programs. These findings can be incorporated into future research and behaviour change initiatives to increase engagement and compliance.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Imogen Lloyd","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quality of reporting of clinical trials in dogs and cats, Part 1: Baseline evaluation of completeness of reporting","PresentationBio":null,"Title":"Mx.","FirstName":"Audrey","LastName":"Ruple","Position":"Associate Professor","Organization":"Virginia Tech","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eff46a09b057466590a5c5a970cf257a","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: To describe the types of clinical trials using dogs and cats published from 2015 to 2020 and to evaluate the quality of reporting in a sample of recently published parallel and crossover trials.
Methods: MEDLINE and CAB Direct were searched to identify parallel or crossover designed clinical trials using dogs and cats published after January 2015. Quality of reporting was evaluated on a subset of trials published during 2019. Two reviewers independently evaluated trials with respect to the completeness of reporting of items recommended in the CONSORT reporting guidelines for abstracts, parallel trials, and crossover trials. Disagreements between reviewers were resolved by consensus. Results were tabulated descriptively.
Results: Since 2015, the majority (933 / 1190; 78%) of trials had parallel intervention groups, with 257 / 1190 employing a crossover design. Considerable variability was evidence in the frequency with which trial features were reported across the trials. Infrequently reported items included delineation of the primary outcome, sample size justification, whether there were changes to interventions or outcomes after the trial commenced, whether allocation was concealed, whether analysis was by originally assigned groups, and whether there was an a priori protocol. Thus, there remain deficiencies in the quality of reporting of key methodological features and the information required to evaluate and interpret trial results.
Conclusions: There is a need for authors, peer-reviewers, and editors to follow reporting guidelines to maximize the value of clinical trials and to increase confidence in the validity of the trial results. Researchers may be more likely to adopt species-specific reporting guidelines for dogs and cats.

Keywords: reporting quality, clinical trials, dogs and cats","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","df5d618c-3702-4d9c-95b6-0ad39c8b6184","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","c0c76c20-a7ea-4e61-af24-1ffb79f9f561","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":"audreyruple","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/dr-audrey-ruple","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"audreyruple","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/dr-audrey-ruple","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=audreyruple","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/dr-audrey-ruple","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=audreyruple","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/dr-audrey-ruple","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mx. Audrey Ruple","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-09T10:00:00+00:00","BaseEndDateTime":"2022-08-09T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-09T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T15:00:00.0000000+00:00"},{"Id":"26d7096e-da0d-4d6e-b855-74ce32a2ffb5","SessionBlockId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","Name":"Breakout Session 4.B - One Health","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessment of Rabies Control in Rural Areas in Victoria Falls, Zimbabwe ","PresentationBio":null,"Title":"Mr.","FirstName":"Ryan","LastName":"LaPenna","Position":"","Organization":"University of Western Ontario","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): This study aimed to determine the rabies immune status among rural dogs and collect information about Knowledge, Attitude and Practices (KAP) to better understand behaviours and interactions between dogs, people, and wildlife in rural Victoria Falls (VF), Zimbabwe.

Materials and methods: From October–November 2020, blood was collected from a sample of 500 dogs for rabies serology testing during an annual rabies vaccination campaign in rural areas in VF. 498 of the 500 dog sera samples were tested successfully for rabies antibodies at the Onderstepoort Veterinary Institute, South Africa using the Rabies BioPro ELISA test kit. A protective rabies antibody titer was defined as a titer ≥0.5 IU/mL. Additionally, a KAP survey was implemented among dog owners (n=342) to collect information about the dog demographics, rabies vaccination history, and health behaviours in this community. KAP survey and serology data were merged for each dog sampled. Multivariable logistic regression was used to evaluate associations between protective rabies antibody status and selected risk factors at time of sampling. Data was analyzed using Stata16.

Results: At time of sampling in 2020, 32.1% (160/498) of dogs had protective rabies antibodies (PrAbs). Among previously vaccinated dogs, 44.8% (133/297) had PrAbs. The proportion of dogs with PrAbs decreased with time since vaccination, with <1 year (87.5%), 1-2 years (45.1%) and >2 years (31.2%). The odds of having PrAbs at time of sampling was significantly associated with a dog being previously vaccinated against rabies (p<0.001, OR 5.1, 95% CI:3.1–8.3), age (p=0.042, OR 1.1, 95% CI:1.0–1.2), body condition (p=0.043, OR 8.6, 95% CI:1.1–69.3) and among dogs not used for herding cattle (p=0.011, OR 1.9, 95% CI:1.2–3.0).

Conclusion: Our findings support maintaining the current policy of annual rabies vaccinations in this area to protect dogs and thus prevent human infection and deaths.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","df5d618c-3702-4d9c-95b6-0ad39c8b6184","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Ryan LaPenna","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using the European State-of-the-Art to acquire a participatory assessment of strategies and technologies to reduce antibiotic use ","PresentationBio":null,"Title":"Mr.","FirstName":"Ilias","LastName":"Chantziaras","Position":"Professor","Organization":"Ghent University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The Horizon2020-funded network DISARM developed a baseline assessment of state-of-the-art strategies and technologies to reduce antimicrobial use (AMU) and improve animal health on farms, including strategies developed by farmers, industry and researchers. A library of open access information sources has been developed, which can be used by all stakeholders to access information on strategies to reduce AMU and subsequently antimicrobial resistance (AMR)

Materials and methods: A protocol was developed for the state-of-the-art. An easily accessible online file was created to collect and organize the material. To structure the material, 10 primary categories were formed (Biosecurity, Pathogen management, Water management, Feed / Gut health, Precision livestock farming, Breeding, Specific alternatives, AMU reduction strategies, Prudent use of antibiotics). These categories were further sub-divided to enable the possibility of a detailed search. Per entry, a species and country indication was provided. To indicate the level of innovation and evidence per entry, an expert judgement was performed. All partners in the DISARM consortium were asked to search for relevant material, deriving preferably from their own country and regarding species and housing systems relevant to the project.

Results: 522 records entries were collected by the consortium partners. Of these, 511 records were left after internal quality checks. The database includes 340 research papers and reports, 46 farm innovations, 82 tools/checklists and 43 industry innovations. The top three categories regarding number of entries are AMU reduction strategies (107 records), prudent use (71), pathogen management (61), biosecurity (55), and feed and gut health (46).

Conclusions: This assessment of strategies and technologies to reduce AMU resulted in an online, open access database. This provides the European state-of-the-art and its biggest accomplishment is that it was compiled by a European multidisciplinary team representing a range of fields of expertise and parts of the production chain and animal husbandry.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","8fc4d524-a96c-44ab-af7e-21be4a6db35f","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Ilias Chantziaras","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial usage and biosecurity on broilers and cross-breed sonali poultry farms in Bangladesh","PresentationBio":null,"Title":"Mrs.","FirstName":"Nelima","LastName":"Ibrahim","Position":"Phd Student","Organization":"Ghent University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s):Antimicrobial use (AMU) is a major contributing factor in the rising threat of antimicrobial resistance (AMR) in worldwide food animal production. Therefore, this study aimed to quantify and associate the AMU and biosecurity status of broiler and cross-breed sonali poultry farms in Bangladesh.
Materials and methods:Data on all antimicrobial treatments within each flock and total antimicrobials purchased over one year on the farms of the sampled flocks were collected from 94 broiler and 51 sonali farms located in the northern and south-east region of Bangladesh. AMU at flock level was quantified as treatment incidence (TI) per 100 days based on the Defined Daily Dose (DDDvet). The biosecurity status of the farms was determined using Biocheck.UGent, a scoring system that quantifies the level of biosecurity on the farm.
Results:Median TIDDDvet at flock level equaled 89 and 90 for broilers and sonali, respectively meaning that the birds were treated around 90% of their lifetime with a standard antimicrobial dose. Minimum and maximum values equaled 17.1-221.9 and 40.9-233.0 in broilers and sonali, respectively. Ninety-two percent of farms started an antimicrobial treatment on the first day of production. The most frequently used antimicrobial classes in broilers and sonali, expressed as the percentage of the total number of treatments, were fluoroquinolones (25%; 15%), sulfonamides (19%; 25%), tetracyclines (15%; 19%) and aminopenicillins (17%; 12%), respectively. The average external biosecurity and internal biosecurity equaled 37% and 45% for boilers and 63% and 61% for sonali, respectively.
Conclusion:As the majority of farms treated their birds for almost the entire production period, both conventional broiler and sonali bird production were still fully dependent on AMU. A low biosecurity score was non-significantly associated with a higher AMU. Nevertheless, improvement of biosecurity might be part of the solution towards a lower usage.

Key words:Antimicrobial usage; Broilers; Sonali; Treatment incidence; DDDvet","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","8fc4d524-a96c-44ab-af7e-21be4a6db35f","43f42602-f380-4a8a-9da3-ce05b383dc09","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Nelima Ibrahim","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Screening of antibiotic residues in beef, eggs, and honey, sold in farmers’ and conventional markets in east Tennessee, and effect of cooking on the residues ","PresentationBio":null,"Title":"Mr.","FirstName":"Chika","LastName":"Okafor","Position":"Associate Professor","Organization":"University of Tennessee","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The objectives were to assess the concentration of antibiotic residues in beef, eggs, and honey sold in farmers’ and conventional markets in East Tennessee; and evaluate the effect of cooking temperature on the concentration of antibiotic residues in the foods.
Materials and Methods
Between July 2020 and June 2021, beef (n=17), eggs (n=66), and honey (n=17) samples were purchased from selected East Tennessee farmers’ and conventional markets. Beef, eggs, and honey samples were cooked for 30 minutes at 71 degrees Celsius. Tetracycline, erythromycin, and sulfonamide residues were measured in raw and cooked samples by using an enzyme-linked immunosorbent assay. A sample was considered positive for antibiotic residues if the samples had detectable antibiotic residues. Kruskal-Wallis test was performed to examine the difference between the concentrations of antibiotic residues by foods.
Results
In farmers’ market beef, the median concentration of tetracycline, erythromycin, and sulfonamides was 3.3 ppb, 12.9 ppb, and 812.5 ppb, respectively. In conventional markets beef, the median concentration of tetracycline and erythromycin was 2.3 ppb and 8.8 ppb respectively. In farmers’ market eggs, the median concentration of tetracycline and sulfonamides were 17.2 and 876.4 ppb, respectively. In conventional markets eggs, the median concentration of tetracycline was 3.2 ppb and had no sulfonamides in eggs. In farmer’s market honey, the median concentration of tetracycline and erythromycin were 142.1 ppb and 3.0 ppb, respectively. In conventional markets honey, the median concentration of tetracycline and erythromycin was 52.9 ppb and 3.3 ppb, respectively. Only one beef and one egg sample had concentrations above the allowable maximum residues limit (MRL) set in the U.S. The effect of cooking temperature on antibiotic residues is under analysis.

Conclusions
Study findings indicate most of these samples had antibiotic residues that did not exceed the MRLs set in the U.S, except for a few individual samples.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Chika Okafor","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessment of bacterial loads in a veterinary operating room and associations with staff related factors ","PresentationBio":null,"Title":"Dr.","FirstName":"Johanna","LastName":"Penell","Position":"Dean of Education, Faculty of Veterinary Medicine and Animal Science","Organization":"Swedish University Of Agricultural Sciences","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b2989ba549154ee5b5c8ce2e15554544","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Pathogenic microorganisms near patients constitute a risk for health care-associated infections. The objectives of this study were to quantify the environmental airborne bacterial load in a veterinary operating room and investigate staff-related factors associated with bacterial load.
Material and methods: An observational study conducted at a small animal hospital in Sweden. Environmental samples using settle plates were collected in one operating room during acute or elective surgery for ovary hysterectomy in dogs, placements of plates A, B and C are shown in fig 1. Factors related to the operating room, including staff movements during surgery, were collected. Linear regression was used for investigating the relationship between explanatory factors and the outcomes bacterial load at A, B, and C, respectively.
Results: Twenty-eight surgery events were included, with a mean surgery time of 60 minutes (range 16-135 minutes). The mean bacterial load was 810 (A), 411 (B) and 1222 (C) CFU/m2/h. The number of staff in the operating room was 3-7. Staff movements ranged between 2-69 (mean 33) and one example is shown in fig 1. Preliminary results indicate a negative association between staff movement and A (after applying Bonferroni correction; p=0.017), and a negative association between operation time and A (p=0.011). There was no association between number of staff present and the bacterial load.
Conclusions: This study presents a low degree of airborne bacterial load during canine surgery, and few associations with staff-related determinants.
Key words: Infection prevention and control, biosecurity, surgery, airborne bacteria, veterinary clinic
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/64e52484ae8646b49ac2c0687a8a427f","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Johanna Penell","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A Novel Model of One Health Integrated Protocol for AMR Alert and Response in Bhutan ","PresentationBio":null,"Title":"Dr.","FirstName":"Sithar","LastName":"Dorjee","Position":"Director Epidemiology","Organization":"Khesar Gyalpo University of Medical Sciences of Bhutan","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b6b66755f4d0499498a91238a32fc9e2","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"No South Asian Countries has integrated One health (coordinated or combined human health, animal health and/or food sectors) antimicrobial resistance (AMR) alert and response system including Bhutan. Functional AMR surveillance system either none existent in animal health and human health sectors or exist within human on limited basis (within a hospital or network consisting of few hospitals). There is also no timely sharing of information or coordinated response to AMR detection across many countries globally.
Therefore, the objective of developing this protocol/system was to provide mechanism to immediately notify and communicate detection of any new or AMR organisms against the priority antimicrobials across human, animal and food sectors, and trigger necessary timely response by the National AMR Technical Committee, technical working groups and inter-ministerial committee for One Health in Bhutan.
This protocol was developed based on literature review to develop a initial model, and followed by a consultative workshop amongst the one health professionals consisting of policy makers, epidemiologists, laboratory experts and clinicians from the three key sectors. This protocol will be pilot tested in Bhutan and results will be shared during the symposium. In conclusion, this novel model of One Health approach to AMR alert and response has a potential for application to wider countries, particularly to those countries with similar situation to Bhutan, where an One Health approach is institutionalized and functional. We will present the details of its design and key elements of this protocol.
The figure below shows the flow chart and key components of protocol.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/50af81dd76914df198b1755e35213c94","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Sithar Dorjee","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Understanding how to effectively and sustainably tackle antimicrobial resistance in One Health systems ","PresentationBio":null,"Title":"Ms.","FirstName":"Jane","LastName":"Parmley","Position":"Associate Professor","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f9694a36251c4913b54a8de6a504cb67","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: To describe the system dynamics that contribute to antimicrobial resistance (AMR) emergence, spread and impact in different contexts and the factors that influence effectiveness and sustainability of actions designed to combat AMR.

Materials and methods: Visual models of factors influencing and influenced by AMR in European and Southeast Asian food systems were co-developed by experts and non-traditional stakeholders in participatory workshops. Exploration of the long-term impacts of select interventions (taxation at point of antimicrobial sale and improved infection prevention and control measures) on AMR under a future influenced by climate change was completed using a scenario-modelling approach in a second set of (virtual) participatory workshops hosted in the same locations.

Results: Four workshops (35 participants) were held in 2019 and causal loop diagrams of AMR in the European and Southeast Asian food system contexts were developed. These visual models depict how AMR is driven by a complex web of interacting factors and influenced by additional, over-arching factors with broad influence over the whole system. Leverage points, places to act with greatest potential to transform the system and fight AMR, were also identified by participants. In 4 scenario-modelling workshops, hosted virtually in 2020, 18 participants recognized AMR and climate change as interlinked issues and highlighted that select interventions to combat AMR under a new climate change reality in the year 2050, required achieving the Sustainable Development Goals.

Conclusion: This work demonstrates that AMR emergence, spread and impact are driven by a complex system of diverse and interacting factors. Effective and sustainable reduction of AMR will require a multi-pronged, health promotion approach that prioritizes participation from multiple stakeholders and is prepared for potential unexpected health consequences in humans, animals and ecosystems.

Keywords: antimicrobial resistance, complexity, participation, One Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Jane Parmley","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Overcoming barriers towards a flexible and multi-use databank for One Health antimicrobial resistance research","PresentationBio":null,"Title":"Prof.","FirstName":"Kristen","LastName":"Reyher","Position":"Professor Of Veterinary Epidemiology And Population Health","Organization":"Bristol Veterinary School, University Of Bristol","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/517887d0032e4e379e423908bbaef7a3","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Currently there is no consistent and reliable source of information to estimate antimicrobials used in livestock farming. Estimates are often based on national sales data which don't clearly translate to use at veterinary practice, farm or animal levels. Additionally, AMU data are largely recorded separately from AMR data. Linking data in the same animal/herd/farm is crucial to support the investigation of critical questions regarding AMR/AMU, but is not currently possible. Our work assesses the challenges and benefits of linking major sources of AMU and AMR data collected by the UK livestock industries.

Materials and Methods
We drew together information from different sources - veterinary records, milk retailer data, research studies and diagnostic laboratory results - using state-of-the-art technology to maintain strict confidentiality, anonymity and data protection. We investigated privacy-preserving record linkage to combine datasets and tested a novel string similarity function across four datasets containing veterinary medicine sales/usage records.

Results
To link AMU and AMR data from multiple sources in a privacy-preserving way, we used an identifier unique to each UK livestock holding, available across datasets and suitable for automatic extraction. By simulating multiple data providers and a data consumer, we found the method provided accurate matching whilst maintaining privacy. To maintain accurate quantitative composition and licensing information for medicines, we developed an algorithm to allow automated matching of recorded medicines data to the national Product Information Database.

Conclusions
This work provides foundational understanding of requirements to significantly advance the ideas of shared livestock health data. Data science techniques can provide solutions for technical barriers, but there are complex social issues which technology alone cannot solve. Deeper understanding of the context of collection and sharing of data from both social and data science perspectives is required to unlock the potential of these resources.

Keywords: databank, livestock, AMU, AMR
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["9f2295d7-194f-44de-9cea-8eb77d958e64","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Kristen Reyher","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 4.B - One Health","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-09T10:00:00+00:00","BaseEndDateTime":"2022-08-09T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-09T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T15:00:00.0000000+00:00"},{"Id":"000e7006-a4de-44ac-9754-75b14228ffca","SessionBlockId":"e0a722c3-8f40-4beb-bcf1-99f9eca372d4","Name":"Breakout Session 4.A - Production diseases","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Effects of pathogen-specific clinical mastitis occurrence in the first 100 days of lactation 1 on future mastitis occurrence in Holstein dairy cows","PresentationBio":null,"Title":"Miss","FirstName":"Julia","LastName":"Hertl","Position":"Research Aide","Organization":"Cornell University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction and Objective: Clinical mastitis (CM) is of great concern to the dairy industry worldwide. It may occur repeatedly throughout a cow’s lifetime, and be due to any of a number of different organisms. It is of interest to understand the importance of CM early in productive life, and whether it is predictive of future CM cases. Accordingly, the objective of this study was to estimate the effects of early-occurring (in the first 100 d of Lactation 1) CM due to different pathogens on the future rate of CM (occurring after the first 100 d of Lactation 1, until the end of lifetime (due to death or sale)) due to different pathogens.

Materials and Methods: Data, including information on CM cases (pathogens of interest: Streptococcus spp., Staphylococcus aureus, Staphylococcus spp., Escherichia coli, Klebsiella spp., cases with no growth) and event dates (death, sale), were collected from 14,440 cows with completed lifetimes in 5 New York State Holstein herds from 2004 until 2014. Generalized linear mixed models with a Poisson distribution and log link function were fit for each pathogen. The individual cow was the unit of analysis.

Results: E. coli and cases with no growth were predictors for future occurrence of Staphylococcus spp., E. coli, and Klebsiella spp. CM, and cases with no growth. Klebsiella spp. was also a predictor of cases with no growth.

Conclusion: Early-occurring E. coli and CM cases with no growth were consistent predictors of future occurrence of several types of CM. The findings may help in management of young cows with CM in early productive life, especially those with E. coli or CM with no growth, in that they may be more susceptible to future CM cases, due to various pathogens, in later productive life.

Keywords: Dairy cows, mastitis, pathogen-specific, recurrent, generalized linear mixed models","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Julia Hertl","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bovine leukemia virus proviral load as a measure for selective removal of cattle for bovine leukosis control","PresentationBio":null,"Title":"Mr.","FirstName":"Sulav","LastName":"Shrestha","Position":"Phd Candidate","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Bovine leukosis, which is caused by bovine leukemia virus (BLV), is associated with low milk production, longevity and immunity. However, controlling this disease is a challenge because of the high within-herd prevalence and high turn over in Canada. The objective of this study was to use proviral load (the genomic copies of BLV per host cell) as a means to assess the impact of selectively removing the high proviral load (HPL) cows from the herd on the herd-level BLV prevalence. Also, leucocyte count is evaluated as a rapid and more cost effective alternative to identify HPL cows.
Eleven free-stall dairy herds across Alberta with an adult herd size ranging from 81 to 402 cows were enrolled in a three-year study. BLV status of each cow was annually assessed in milk or blood sample using an antibody detection ELISA and the proviral load with the BLV SS1 qPCR assay (CentralStar Cooperative Inc.). It was recommended to remove the HPL cows from the herd after each test.
In the first year (2020), 768 out of 2,301 milking cows were BLV-positive. The within-herd BLV prevalence ranged from 9 to 52% (median = 4%). The proportion of HPL cows of the total cows tested per herd ranged from 1 to 7% (median = 4%). In January 2022, the herds were sampled as part of the second year activities. Based on the year 2 results, we are assessing if producers were motivated to remove HPL cows and the number of new BLV infections. In preliminary analysis, leucocyte count was highly correlated with proviral load PCR results.
With high within-herd prevalences, HPL removal could be practical and economical strategy for BLV control.

Key words: BLV, proviral load, HPL, prevalence, control
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Materials and Methods: High-quality animal-level data describing daily production and health status were acquired by convenience-sampling of eleven farms across Great Britain. The data included equally-spaced temporal repeated-measures for cows. Reduction in daily milk-yield associated with incidence of hoof-disorders was determined by comparison of diseased and disease-free cows. A mixed multivariate linear regression model with restricted maximum-likelihood method and a first order autoregressive correlation matrix was developed in R, with statistical significance determined by P<0.05. The effect of disease severity was evaluated by subsetting the study population to those requiring one or more days of treatment. The temporal impact of hoof-lesion on milk-yield using the moment of the clinical diagnosis as the reference was also investigated through an event study, in which the milk yield of cows before and after disease recognition was assessed.

Results: Our model predicted an average daily milk-loss of 1.474kg (95% CI:-1.834,-1.114) when suffering from a hoof disorder. The impact was more pronounced with more severe disease resulting in a daily reduction of 2.036 kg (95% CI: -2.480, -1.592). Disease severity was particularly important when looking at specific hoof lesions. The impact of hoof disorders on milk yield could be identified using a statistical-association for two weeks before and after clinical diagnosis.

Conclusions: These findings highlight the importance of early detecting hoof health problems to help reduce the impact of these health conditions in dairy farms, particularly by preventing cases of higher severity. It also unveils the usefulness of monitoring production traits such as milk yield as screening tool for flagging animals that are potentially underperforming, triggering clinical investigation and avoiding unnecessary losses and animal suffering.

Key words: hoof health, impact, costs, dairy, cattle, British","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jotafonso","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jotafonso","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jotafonso","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/jotafonso","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Joao Sucena Afonso","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Marginal cost of lameness prevalence in dairy herds : integrated bioeconomic modelling approach","PresentationBio":null,"Title":"Assoc Prof.","FirstName":"Guillaume","LastName":"Lhermie","Position":null,"Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6db031e0ef4d4f76b25c05ac2a13ea93","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Lameness is one the three main health concerns in dairy cattle and Foot disorders are responsible for 92 % of total lameness cases. These troubles can be separated into two main and distinguishable categories: non-infectious claw diseases, which are sole ulcers (SU) and white line disease (WLD) and infectious diseases with interdigital phlegmon (IP), interdigital dermatitis (ID) and digital dermatitis (DD).
Different strategies are available for the farmers in order to manage lameness : 1/ short-term actions, such as curative trimming, footblocks, antibiotics use and footbath application ; 2/ long-term actions, for example improving housing management (flooring, strawing, general layout), working on a detection of lame cows as rapid as possible or preventive and systematical trimming.
The objective of our study is to build a stochastic simulation model, based on an approach as complete as possible in terms of herd management and occurred events, specifically focused on lameness diseases, to estimate the marginal cost of lameness management in order to suggest the optimal herd strategy about lameness. This model consists in a biological simulation model coupled to an economic optimization model. The integrated bioeconomic modelling approach “Dairy Health Simulator” was used and upgraded to precisely simulate lameness occurrence and management strategies. DHS_Lameness simulates infectious and non-infectious lame diseases and their interaction with short- and long-term management strategies and their epidemiologic, economic and social impacts.
Preliminary results demonstrate the substitutability of lameness management strategies, in particular between the implementation of a footbath according to active lesions of DD prevalence and farmer’s blade score detection rate. The results also show that most of the economic loss due to lameness is related to loss of milk production. This increases the interest in choosing the optimal lameness management strategy in areas where milk is best paid.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","d3066121-1fde-4a88-a77e-f435960ef4f2","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Assoc Prof. Guillaume Lhermie","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Repeatability and predictability of calf feeding behaviours – quantifying between and within individual variation for precision livestock farming","PresentationBio":null,"Title":"Mr.","FirstName":"Charles","LastName":"Carslake","Position":"PhD student","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Health and welfare, precision livestock, feeding behaviour, animal personality, dairy calves.

Objective: Endemic disease poses a major challenge to the economic and environmental sustainability of livestock production systems worldwide. Between 2011 and 2018, 3.3 million cattle died on UK farms alone. One proposed solution is to employ sensor technologies to detect changes in behaviour that precede or occur alongside ill health. However, translating behavioural measurements into health and welfare metrics remains elusive. One reason could be insufficient awareness of the substantial behavioural variation that exists between and within individuals. Contextually, and temporally consistent between individual differences in behaviour are termed animal personality. Quantifying such differences in behavioural data could assist in developing more accurate approaches to health and welfare monitoring. Here we use routinely collected data from an automatic milk feeder to quantify between and within individual variation in calf feeding behaviour.

Material and Methods: Feeding records from 48 clinically healthy, pre-weaned dairy calves over two different feeding contexts (pair housing followed by group housing) were analysed using multivariate double hierarchical generalised linear models. Repeatability, individual variation in predictability, contextual stability and correlations between behavioural traits were extracted from the model. Associations between behavioural traits and weight gain were tested using linear regression.

Results: Feeding rate and meal frequency had substantial, temporally, and contextually consistent between individual differences (repeatability > 0.4). Between individual variation in predictability indicates that calves with predictable and unpredictable feeding rates coexist. Finally, we show that calves that had more meals also drank faster (r = 0.28 [0.00 - 0.58]) and that these calves gained significantly more weight.

Conclusion: Substantial contextually and temporally consistent between individual differences in calf feeding behaviour exist. These can be termed animal personality. Future studies that use feeding data for health and welfare monitoring should account for these differences. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0bb275db-dbe0-42d7-abe1-4ccfc61191ed","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","19e01dc9-22cb-4850-9e42-985898b24c36","c54f9b9d-8dfb-410e-9187-f32dd54c71fc","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Charles Carslake","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The impact of negative energy balance on the diversity of the enteric microbiome of dairy cattle ","PresentationBio":null,"Title":"Mr.","FirstName":"Landon","LastName":"Warder","Position":"Phd Candidate","Organization":"Atlantic Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The bidirectional relationship between the enteric microbiome of dairy cattle and host metabolism is an important factor to consider in animal welfare, production, and greenhouse gas emissions. One factor affecting microbiotic diversity is gut motility, which is impaired during ketosis.
Materials and methods
In the present study, blood, and manure samples were collected 1-3 weeks prepartum and 2-4 weeks postpartum from 125 dairy cattle on Prince Edward Island, Canada. Prepartum blood samples were tested for the concentration of non-esterified fatty acids (NEFA), while postpartum blood was tested for beta-hydroxybutyrate (BHB) concentration. 16S rRNA was sequenced and processed in Qiime2 to determine the microbiotic composition and diversity. A mixed-effect linear regression model was fitted to determine the relationship between postpartum enteric microbiotic diversity, prepartum diversity, postpartum blood BHB, and prepartum blood NEFA, with the farm as a random effect.
Results
All three independent variables had a significant, positive relationship with postpartum, enteric, microbiotic diversity. Prepartum diversity was the most significant (p = 0.001), followed by prepartum blood NEFA concentration (p = 0.004), then postpartum blood BHB concentration (p = 0.038). The intraclass correlation was 0.29, indicating considerable clustering within the farms due to similar diet, housing, and microbiotic exchange.
Conclusion
Persistent energy deficits are associated with increased enteric microbiome diversity, guiding management practices to increase beneficial bacteria. This indicates that prepartum factors persistently affect the enteric microbiome into lactation. Future research can look to determine specific microbiotic features that are linked to energy status in cattle. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0bb275db-dbe0-42d7-abe1-4ccfc61191ed","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Landon Warder","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The DECIDE project: from surveillance data to decision support for farmers and veterinarians","PresentationBio":null,"Title":"Ms.","FirstName":"Marloes","LastName":"Boeters","Position":"Phd Student","Organization":"Utrecht University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Farmers, veterinarians and other animal health managers in the livestock sector are currently missing information on prevalence and burden of endemic contagious animal diseases. They need adequate tools for risk assessment and for prioritisation of control measures for these diseases. The aim of the DECIDE project is to develop data-driven decision support tools, which present (i) robust and early signals of disease emergence and options for diagnostic confirmation; and (ii) options for controlling the disease along with their implications in terms of disease spread, economic burden and animal welfare.
DECIDE will focus on respiratory and gastro-intestinal syndromes in the three most important terrestrial livestock species (pigs, poultry, cattle) and on reduced growth and mortality in salmonids, important aquaculture species. For each of these, we will (i) identify the stakeholder needs; (ii) determine the burden of disease and costs of control measures; (iii) develop data sharing frameworks based on federated data access and meta-information sharing; and (iv) build multivariate and multi-level models for creating an early warning system. Together, all of this will form the decision support tools to be integrated in existing farm management systems wherever possible and to be evaluated in several pilot implementations in farms across Europe.
Figure 1 depicts the concept of the DECIDE project. The results of DECIDE will lead to improved use of surveillance data and evidence-based decisions on disease control to increase animal health and welfare and protect human health and the food chain in Europe and beyond.

syndromic surveillance, decision support tools, socio-economics","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e5e8d80ad84949fca7ff915cb0ce0d52","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Marloes Boeters","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Ascites and mortality in two broiler hybrids with different growth rates under commercial conditions","PresentationBio":null,"Title":"Mrs.","FirstName":"Merete","LastName":"Forseth","Position":"Chief Veterinarian Animal Welfare","Organization":"Norsk Kylling AS","PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In the EU, it is estimated that 2-5% of the broilers are slower-growing birds, and the proportion is increasing. Nevertheless, publications comparing important health and welfare indicators under commercial conditions are lacking. The objective of this study was therefore to compare the prevalence of ascites and mortality between the fast-growing Ross 308 and the slower growing Hubbard JA787.

In 2017-2018, the Norwegian broiler company, Norsk Kylling, made a transition from Ross 308 to Hubbard JA787. For all flocks slaughtered from 2015 to 2021, mortality counts were obtained from on-farm records. Ascites was recorded as one of 12 different carcass condemnation codes at the slaughterhouse. Descriptive statistics on mortality and ascites was calculated, and the effect of hybrid was assessed using mixed-effects negative binomial models with mortality and ascites as outcome variables.

The study sample consisted of 4523 flocks from 148 farms. The mortality and ascites prevalence were higher in Ross compared to Hubbard; IRR (95% CI): 2.18 (2.11-2.26) and 6.97 (6.72-7.23), respectively (preliminary results from the multilevel regression model). The variation in ascites prevalence between flocks was considerable (IQR 0.34-0.85%) for Ross 308 and minor for Hubbard JA787 (IQR 0.054-0.12%) (Fig 1).

This is the first large-scale study comparing health- and production data from fast-growing and slower-growing broilers under commercial conditions. Both prevalence of ascites and mortality was significantly higher in Ross than in Hubbard with potential consequences for animal welfare.

Keywords: Slower growing broilers, production related disorders, meat inspection, condemnation code, poultry welfare
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1:30 PM","StartToEndTimeSortString":"12:00 PM - 1:30 PM","DisplayDetails":"Tuesday Lunch Break │ Exhibits","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"12:00 PM - 1:30 PM","StartTimeOverrideString":"12:00 PM","EndTimeOverrideString":"1:30 PM","StartToEndTimeOverrideString2":"12:00 PM - 1:30 PM","BaseStartDateTime":"2022-08-09T12:00:00+00:00","BaseEndDateTime":"2022-08-09T13:30:00+00:00","BaseStartDateTimeOverride":"2022-08-09T12:00:00+00:00","BaseEndDateTimeOverride":"2022-08-09T13:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T15:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T16:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T15:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T16:30:00.0000000+00:00"},{"Id":"4c9a2d06-6c43-4fa6-9125-05c81bba4053","SessionBlockId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","Name":"Breakout Session 5.D - Enhanced Veterinary Education / Evidenced-based Veterinary Medicine","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"What selection criteria can we rely on in admission decisions to the Bachelor of Veterinary Science program?","PresentationBio":null,"Title":"Dr.","FirstName":"Suman Das","LastName":"Gupta","Position":"Post-doctoral Research Fellow","Organization":"The University of Queensland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives: The objective of this research was to evaluate the usefulness of the Situational Judgement Test (SJT) as non-academic selection criteria for the admission of applicants into the University of Queensland (UQ) Bachelor of Veterinary Science (BVSc) program.
2. Materials and methods: The following datasets were used in the analysis: i) SJT data of admitted and non-admitted applicants to the UQ BVSc program, ii) academic performance data of admitted and non-admitted applicants used in the selection process of applicants for the UQ BVSc program, and iii) field work and academic performance data of admitted BVSc students. All datasets were merged into a single dataset. Descriptive statistics of SJT scores of admitted and non-admitted applicants were produced and compared for age, sex, socio-economic status and living location. Correlations between SJT scores and academic admission criteria were calculated. Using logistic regression models, we estimated predicted probabilities of performance of BVSc students during field work based on SJT scores.
3. Results: Female and older students performed better in the SJT compared to male and younger students. As expected, the correlation between SJT scores and academic performance was poor. For higher SJT scores, the predicted probability of performing better during field works was slightly higher (although not significant at p<0.5). A rubric is recommended for future admission to the UQ BVSc program with weights allocated for academic and non-academic performance and ranges of SJT and academic performance parameters to be used (rather than single cut-offs).
4. Conclusion: We conclude that applicants with excellent SJT scores, but marginally lower academic ranks should not be excluded from the BVSc program.

Keywords: admission, Bachelor of Veterinary Science program, demographics, Situational Judgement Test
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Effective communication can aid bovine veterinarians in improving client relationships in herd health consultancy, client satisfaction, adherence to veterinary advice and patient welfare and health. Communication skills are often taught using traditional role-play training, which has limitations, e.g., time constraints, assessments and cost. The Veterinary DialogueTrainer (VDT) is a new tool mitigating these barriers. It is a serious game platform using ‘digital role-play’ with avatars, developed to enhance and assess learning outcomes, improve use of learned skills, and increase cost-effectiveness of communication training. The objective of this pilot study was to determine suitability and applicability for using the VDT.
Methods
Twenty-four Finnish bovine veterinarians participated in a communication training using the VDT. After playing the simulation participants received scores and feedback. VDT scores measure multiple aspects of communication on a 0-100% scale, based on motivational interviewing methodology and Calgary-Cambridge guidelines. Participants completed the provided simulation at least twice.
Results
Mean (±SD) number of attempts participants played the scenario was 4.1 (±2.6), with highest total score reached after a mean of 3.7 (±2.0) attempts. All participants scored <50% at the first attempt of playing the scenario, whereas most participants (n=22) increased their initial score at the second attempt. Mean score increased from 15% (±14%) to 43% (±29%) (paired T-test, p < 0.001) and the majority (n=17) of participants was able to reach a score >80% after 4.0 (±1.6) attempts.
Conclusion
Communication skills scores increased when using the VDT. Whether increased communication skills measured through VDT will improve communication skills in practice is subject of further study. However, based on these results there is likely a benefit of using the VDT in teaching and monitoring veterinary communication competencies and preparing for offline role-plays and real-life conversations in veterinary practice.

Key words: dairy cattle, herd health management, veterinary communication, farm advisory
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["07442f92-20d6-40eb-b297-c4897bc5781e","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/mwlite/in/lindadorrestein","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/mwlite/in/lindadorrestein","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/mwlite/in/lindadorrestein","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/mwlite/in/lindadorrestein","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Miss Linda Dorrestein","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using podcasts as student active learning in epidemiology","PresentationBio":null,"Title":"Dr.","FirstName":"Ingrid","LastName":"Toftaker","Position":"Associate Professor","Organization":"Norwegian University Of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Epidemiology and statistics can often be perceived as “dry” subjects by students early in their veterinary education, partly because they struggle to see the applicability and importance. The objective of this project was therefore to enhance epidemiology interest and achievement among veterinary students by integrating podcasts as a student active learning method.

The project was carried out during spring 2021 in the statistics and epidemiology course for 90 first-year veterinary students. In this course, a podcast assignment was included as an active-learning exercise carried out by cooperative groups. The teacher provided each group with a topic from epidemiology, and some bullet points to help guide the discussion. When recording the podcast, the students had to play roles: The epidemiologist, the veterinary practitioner, and the student. Most topics were to be discussed in the context of a scientific paper, thus, performing a literature search and selecting a paper was part of the exercise. Finally, all podcasts were uploaded to an online teaching platform. The project was evaluated through teacher reflection and student evaluation, performed through a questionnaire and an interview with a reference group.

All groups completed the assignment and uploaded their podcast making it available to all groups. Overall, student feedback was very good; 96% of students agreed that the podcast assignment had improved their understanding, and 82% stated that it had improved their motivation for learning, (87% response rate). Listening to the podcasts, it was clear that some groups relayed too heavily on their notes during the recorded discussion. A solution to this might be to shorten the suggested time limit, which was also suggested by a student during the evaluation.

Podcasts as a student active learning method were successfully used to enhance understanding and motivation to learn veterinary epidemiology.

Keywords: Cooperative learning, teaching and learning methods, veterinary epidemiology
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","07442f92-20d6-40eb-b297-c4897bc5781e"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ingrid Toftaker","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Tools to assist with learning, understanding and the practice of veterinary epidemiology","PresentationBio":null,"Title":"Dr.","FirstName":"Juan Pablo","LastName":"Villanueva Cabezas","Position":"","Organization":"The University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/26e8c3dd4bc341238c061bb9da576ea7","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Widespread use of smart phone devices allows veterinarians to carry substantial amounts of technical information literally ‘in their back pockets’. While this has alleviated the need to memorise facts and formulae, the need to understand core epidemiology topics (e.g., measures of disease frequency, measures of association and sources of error in epidemiological research) remains.

We describe the design principles guiding the development of a free, publicly available smart phone app, ‘Epi Tools’, to accompany delivery of the veterinary epidemiology course as part of the Doctor of Veterinary Medicine program at the University of Melbourne, Australia.

Materials and methods
The functions within in the app are organised by topic consistent with the topics delivered within the course. Users have the ability to carry out standard epidemiological calculations using a relatively simple user interface. Each function is accompanied by documentation providing details of input variables, calculation methods, supporting references for the formulae used and worked examples.

A glossary provides concise definitions of common epidemiological terms. For some glossary items animations are included to assist learners to better understand text descriptions provided.

Results
Examples of the app design and function will be demonstrated.

Conclusions
Deep learning occurs when students are confronted with a problem, identify the relevant theoretical principles relevant to the problem at hand and apply those principles to the problem to arrive at a satisfactory solution. The Epi Tools app is a resource that makes it easier for veterinarians to apply theoretical epidemiological principles to real world population health issues.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/660df55776c9427087ef518cea25dcb0","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["07442f92-20d6-40eb-b297-c4897bc5781e"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Juan Pablo Villanueva Cabezas","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Adding Active-Learning Glitters to Veterinary Epidemiology and Evidence-Based Veterinary Medicine Courses","PresentationBio":null,"Title":"Dr.","FirstName":"Omid","LastName":"Nekouei","Position":"Assistant Professor","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/35f51bad71c742f187faf5f6ad3ee37d","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
To share our hybrid teaching experience of Evidence-Based Veterinary Medicine (EBVM) and promote active learning components in teaching Veterinary Epidemiology.
Methods
Veterinary Epidemiology and EBVM are typically taught using didactic methods, and it is often challenging to engage students. Our hybrid approach has combined the basic concepts from both disciplines and pushed toward pedagogical teaching. To stimulate enthusiasm, encourage a problem-based learning mindset, and enhance the educational experience of our veterinary medicine students of epidemiological concepts and research methods, we have combined the traditional lecture/tutorial teaching approach with active-learning components, including a series of critical appraisals of research studies using customized assessment forms adapted to the hierarchy of evidence, and a course assignment to develop knowledge summaries (critically appraised topics) to answer a clinical question and prepare students for evidence-based decision making in clinical practice. This assignment mainly follows the EBVM resources and guidelines by the Royal College of Veterinary Surgeons (RCVS). We try to address current challenging clinical questions posed by our local practitioners. Further, we have incorporated our graduate students’ teaching duties in the course to provide them with the opportunity to learn and practice their teaching and leadership skills in a supervised setting.
Results
We received positive feedback from the students regarding the learning materials and assignments in our recent course deliveries. Nearly all students expressed enthusiasm during the course, and 95% stated complete satisfaction with the course in the final evaluations. The knowledge summaries were enriched and submitted for publication to the RCVS’s peer-reviewed journal, Veterinary Evidence, including students as co-authors.
Conclusion
Incorporating applied active-learning tasks into traditional epidemiology-related courses in the veterinary medicine curriculum stimulated engagement and critical thinking in students and enhanced their learning experience.

Keywords: active-learning, epidemiology, evidence-based veterinary medicine, curriculum
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To facilitate clinical decision-making, veterinary professionals need to have access to evidence-based information relating to the efficacy of products, both in peer-reviewed literature and marketing material. Whilst the quality of supporting information accompanying device and pharmaceutical advertisements has been studied in human medicine, there are few studies conducted in veterinary medicine. This study aimed to characterize the presence and quality of information provided by manufacturers of prescribed products in the promotional material of two commonly read UK-based veterinary publications.

Materials and methods:
Advertisements from all issues of two veterinary publications between July 2017 and July 2018 were assessed using a data extraction tool. Data extracted included (but was not limited to) publication and issue, product type, business entity, and reference information provided. Data were analysed descriptively, and univariate analysis conducted using chi-squared or Fishers exact tests, corrected for multiple comparisons using the Bonferroni correction.

Results:
In total, 105 issues were assessed; 451 advertisements met the inclusion criteria. The eight most commonly advertised product categories represented 74 products and comprised 81% of all advertisements. Just over a third (36.4%) promoted anti-parasiticide products. Numerous business entities were identified however most marketing came from just 8 companies (71% of all adverts). A minority of citations in the advertisements were from peer-reviewed publications (13.8%), with the majority coming from grey literature publications (22.9%), company contact information (21%) or had no identifiable references (17.6%).

Conclusion:
The results found here suggest that a minority of advertisements are accompanied by references to peer-reviewed literature. If this is reflective of wider veterinary publishing, and given the demand for veterinary advice on products, it is likely insufficient evidence is provided to veterinary professionals via marketing features, limiting accessibility to high quality information.

Keywords:
Evidence-based veterinary medicine; clinical decision-making; peer-reviewed literature; information quality; advertisements
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Materials and Methods. This study use 16s rRNA gene sequencing and AMR target-enriched metagenomics (AMR-TE) to characterize the microbiome and resistome, respectively. 16S rRNA sequence data were analyzed with QIIME2 and phyloseq, while AMR-TE sequence data was analyzed using AMR++ and phyloseq.

Results. Assemblages of AMR genes in cattle and ungulates from pristine environments (Yellowstone and Rocky Mountain National Parks) are all dominated by genes conferring resistance to tetracyclines. However, cattle contained higher proportions of erm(A-X) genes conferring resistance to macrolide antibiotics. Medically important AMR genes differed between cattle and natural ungulates, but cumulatively were more predominant in pristine soils.

Conclusions. Our findings suggest that the commonly described predominance of tetracycline resistance in cattle feces is a natural phenomenon within ungulates and not solely a result of antimicrobial drug exposure. Conversely, the virtual absence of macrolide resistance genes in natural ungulates suggests that macrolide usage is enriching for these genes in cattle. Our results show that antimicrobial use in agriculture may be promoting a potential reservoir for specific types of AMR (i.e., macrolide resistance) but that a large proportion of the ungulate resistome appears to have natural origins.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","76c84259-9a28-4ba9-a370-db4b00031911","43f42602-f380-4a8a-9da3-ce05b383dc09","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Lee Pinnell","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Genomic diversity and antimicrobial resistance of Salmonella across humans, productive animals, wildlife, and food in Costa Rica","PresentationBio":null,"Title":"Mrs.","FirstName":"Lohendy","LastName":"Muñoz-Vargas","Position":"Professor","Organization":"Universidad Nacional","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The establishment of bioinformatic tools required for big data analysis represents a challenge in developing countries. Thus, integrated efforts from multidisciplinary teams are almost mandatory in order to elucidate scientific questions associated to microorganisms with relevant impact for the public and animal health.
This project aimed 1) to determine the genetic relatedness, serotypes, and antimicrobial resistance genes of non-typhoidal Salmonella enterica recovered from human cases, productive animals, wildlife, food, and feedstuff; and 2) to enhance the bioinformatic platform at national capabilities throughout personnel training and script validation.
A whole genome sequencing of 116 Salmonella strains was conducted using the Sanger platform, following by a script standardization at National Center for High Technology in Costa Rica. The strains were provided by three universities and two national reference laboratories. All genomes were exposed to phylogenetic reconstruction and analyzed for antibiotic resistance genes and plasmids presence using CARD, ResFinder, PlasmidFinder and ARIBA databases. The SNPs alignment was used for maximum likelihood phylogenetic reconstruction, and data visualization was facilitated by Figtree and microreact.
Resistome analysis depicted genes conferring resistance to aminoglycosides, fluoroquinolones, and streptomycin in more than 87% of Salmonella genomes, and less than 5% of genotypes showed resistance against β-lactams, macrolides and tetracycline. High genetic relatedness between S. 4,5,12:i:- strains recovered from human clinical cases and wildlife was observed, suggesting transmission due to high proximity of wild animals into peri-urban areas. Several clusters based on location and serotypes were detected from a diversity of sample types, S. Panama from food, animals, human cases and wildlife; and S. Enteritidis from human cases and food.
The emergence of antimicrobial resistance in promiscuous pathogens such as Salmonella is a major concern globally. High technology enhances its understanding and strengthens strategies to prevent this microorganism dissemination between humans, animals, and environment integrally under the One Health approach.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Lohendy Muñoz-Vargas","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Isolation and antibiotic sensitivity of Campylobacter species from fecal samples of broiler chickens in North West Province, South Africa","PresentationBio":null,"Title":"Ms.","FirstName":"Kealeboga","LastName":"Mileng","Position":"Phd Candidate","Organization":"North West University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d8264476e8d44920a55572fe8a9e485f","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The Objective of the study was to determine the occurrence of Campylobacter species in chickens from North West Province of South Africa as well as their antibiotic sensitivity status.

Materials and Methods
A total of 2400 chicken fecal samples were collected and pooled to a total of 480 samples from five registered active poultry abattoirs in the Ngaka Modiri Molema District of North West Province, South Africa. Polymerase chain reaction (PCR) was used for the detection of Campylobacter spp. targeting the 16S rRNA gene while antibiotic sensitivity was determined using disk diffusion inhibition test.

Results
After isolation, a total of 26 samples were confirmed to be harboring Campylobacter jejuni by PCR and sequencing. C. jejuni was found to be the only isolate detected in all the fecal samples tested. The study further demonstrated that C. jejuni infections were highest in the summer season (3%) followed by autumn and winter at 1%, while there were none detected in the spring. The isolated C. jejuni-positive samples on disk diffusion inhibition test displayed resistance to nalidixic acid, tetracycline, erythromycin, and ciprofloxacin at 98%, 80%, 83%, and 21%, respectively.

Conclusion: C. jejuni isolated in this study is known to cause disease in humans, and thus its occurrence requires application of \"One Health\" strategy to reduce the spread of this zoonotic pathogen in South Africa.

Keywords: antibiotic resistance, Campylobacter jejuni, chickens, South Africa.
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i)\tthe frequency of NTS carriage in stool of healthy humans and animals,
ii)\tthe antimicrobial resistance (AMR) profile of NTS,
iii)\tthe genomic profile of NTS,
iv)\tthe risk factors for carriage of NTS for humans within a household.

Stool was collected from humans and animals at 30 households within two study sites in Malawi at three time points each between November 2018-December 2019. Samples were collected from humans, animals (poultry, livestock, domestic animals, peri-domestic wildlife) and environmental swabs taken.

Questionnaires were administered within the household to determine risk factors for NTS carriage by healthy humans.

Selective bacterial culture, anti-sera testing and qPCR analysis were carried out to determine the presence of NTS within the stool. PCR positive samples underwent phenotypic antimicrobial susceptibility testing and WGS.

Multivariate analysis was carried out to investigate risk factors for NTS carriage.

Selective culture was carried out on 2,081 samples. 234 samples were positive for NTS following qPCR (11.2% positivity). WGS of 227 picks from 119 samples revealed two sub-species of Salmonella. 26 serovars of Salmonella enterica subspp. enterica were detected from a range of animal species and humans, including Salmonella Typhimurium and Salmonella Enteritidis. Risk factors for Salmonella carriage in the stool of healthy humans were identified. Low phenotypic and genotypic AMR was detected; 53/227 (23.3%) genomes contained AMR genes; 49 fosA7 conferring fosfomycin resistance, 4 qnrB19 conferring fluoroquinolone resistance. Sharing pairs (two isolates with very nearly identical genomes) have been isolated from two individuals (animal, human or environmental sample) within several households during this study.

NTS serovars which have the potential for zoonotic transmission and disease are carried in the stool of healthy humans and animals within households in Malawi, and may share between hosts in this environment.

Keywords:
Salmonella, household, One Health, AMR
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","8fc4d524-a96c-44ab-af7e-21be4a6db35f","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Catherine Wilson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"“Cows don’t get invited to keggers”: Applying principles of veterinary epidemiology to COVID-19 control in schools and colleges","PresentationBio":null,"Title":"Ms.","FirstName":"Rebecca Lee","LastName":"Smith","Position":"Associate Professor","Organization":"University of Illinois","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9a871ba22cd947cdbd55806afa5d5ace","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Control of infectious diseases in a semi-closed population is a specialty within veterinary epidemiology, making veterinary epidemiologists uniquely qualified to assist in planning for COVID-19 control in schools and colleges. However, there are areas of infection control in school populations for which veterinarians have been ill-prepared. Human behavior and the importance of individual risk communication require a different approach than is typical in veterinary disease control.

We will present the example of the Shield system, a comprehensive COVID-19 control program as applied at the University of Illinois Urbana-Champaign and in primary and secondary schools throughout the state of Illinois, as an example of the application of principles of veterinary epidemiology to pandemic response in human populations. Specifically, the use of risk-based surveillance has been used effectively to control outbreaks while minimizing impact on education through the Test-to-Stay program. In addition, multiple modeling approaches were used to identify control programs that may have been effective. However, individual-level risk-taking behaviors, especially those associated with social activities, have lowered the efficacy of population-based approaches. In addition, the inability to create a closed population led to limitations on control.

The findings from this pandemic can provide recommendations for animal health control in situations with high levels of external contact and varying degrees of compliance, such as sale barns and animal shelters. In particular, use of risk-based surveillance and behavioral mandates and nudges were more effective than reliance on personal behavior modification and mass communication.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7f76020c-d489-4456-9d83-b398a3eb966f"],"SocialMedia":{"_twitterHandle":"rlsdvm_epivet","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"rlsdvm_epivet","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=rlsdvm_epivet","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=rlsdvm_epivet","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Rebecca Lee Smith","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Canine alveolar echinococcosis: An emerging disease in North America ","PresentationBio":null,"Title":"Dr.","FirstName":"Temitope","LastName":"Kolapo","Position":"","Organization":"University of Saskatchewan","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Alveolar echinococcosis (AE), caused by the metacestode of Echinococcus multilocularis, is emerging in both dogs and people in North America. This study reviews cases of canine AE opportunistically reported over the last decade in Western Canada and describes the utility of molecular epidemiological tools to better diagnose and track transmission.
Materials and Methods: Cases were identified by contacting provincial, academic, and veterinary diagnostic laboratories, specialty veterinary hospitals, and through word of mouth. Descriptive statistics were generated, and DNA was extracted from available tissues for molecular diagnosis and haplotyping.
Results: There were 27 dogs of different breeds with no age (median = 4 years, range = 1-12) or sex (14 females, 13 males) predilection. None of the dogs with AE had adult cestodes or eggs of E. multilocularis in feces. Over half of the dogs had plausible risk factors for exposure to E. multilocularis. On histopathology, protoscoleces were observed in 7 dogs while the remaining 20 dogs displayed calcareous corpuscles and/or germinal membrane. Diagnosis as AE was confirmed by PCR on DNA extracted from metacestode tissue/ fluid using primers for the NADH dehydrogenase (NAD) subunit 1 mitochondrial gene. Haplotyping at the NAD2 locus demonstrated that North American cases of canine AE were most similar to European versus North American haplotypes and were identical to those in local wild canids. Also, the haplotype of AE from a dog in Ontario was similar to the index US canine AE case from northern Virginia, USA, and differed from the main haplotype in western Canada.
Conclusion: This study provides important information for veterinary practitioners on a rare but serious disease and suggests that dogs with AE may serve as indicators of range expansion and risk to humans.
Key words:¬ Canine Alveolar Echinococcosis; Echinococcus multilocularis, Emerging, Haplotype, public health.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Temitope Kolapo","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 5.B - One Health","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-09T13:30:00+00:00","BaseEndDateTime":"2022-08-09T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T18:00:00.0000000+00:00"},{"Id":"8843ea3e-07e1-4949-9146-59cb5f6a796f","SessionBlockId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","Name":"Breakout Session 5.E - AMR","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Fluoroquinolone resistance in E. coli in broilers: mapping the spread","PresentationBio":null,"Title":"Ms.","FirstName":"Moniek","LastName":"Ringenier","Position":"","Organization":"Ghent University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Although restrictions on the use of fluoroquinolones in livestock have been imposed in Belgium since 2016, still high levels of fluoroquinolone (FQ) resistance are found in commensal E. coli in broilers. The purpose of this study was to describe the FQ resistance prevalence in E. coli and the role of day-old chicks and the environment in the dynamics of the spread within different flocks.

Materials and methods
On 29 broiler farms, antibiotic use was monitored and both water and environmental samples were collected prior to arrival of the chicks. 30 broilers were sampled per farm on days 0 (before entering the stable), 3 and 35 of the production round. In all samples, total E. coli and FQ resistant E. coli isolates were quantified by plating on MacConkey agar without and with 0.25 μg/ml enrofloxacin (ECOFF). All isolates were identified using MALDI-TOF MS. A selection of the isolates was submitted for whole genome sequencing to perform cgMLST analysis and detect resistance determinants.

Results
Before they entered the stable, the day-old chicks carried FQ resistant E. coli in 82.8% of the farms and FQ resistant E. coli were found in the environment on boots (10.3%), hygiene lock (24.1%), drinking cups (10,3%), feeding pans (20.7%), and stable floor (24.1%). According to cgMLST, identical FQ resistant isolates were found on day 0 and day 35, suggesting that FQ resistant isolates present in the environment at the start of a production round or in day-old chicks, remained present until slaughter, even though no FQs were used.

Conclusion
The continued presence of FQ resistant E. coli in Belgian broiler farms is the result of both a historical contamination at the farm level and a continuous influx along the production chain.

Keywords: fluoroquinolones, antimicrobial resistance, broiler, whole genome sequencing , E. coli
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","6d2507a9-e756-4ab4-ae03-e679e391c7e6","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Moniek Ringenier","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemiology of Antimicrobial Resistance in Escherichia coli Isolates from Livestock and the Environment in Extensive Smallholder Livestock Farming Systems in Ethiopia ","PresentationBio":null,"Title":"Mr.","FirstName":"Biruk","LastName":"Gemeda","Position":null,"Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6a84890a225d4dc2b45a3b18771c188c","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Our objective was to characterize the distribution of AMR in E. coli from livestock feces and soil in low-resource, extensive smallholder livestock systems.
Material and Methods
A cross-sectional study was conducted with 77 randomly selected smallholder households in four districts representing two agro-ecology and production systems in Ethiopia. A total of 462 cattle, sheep and goat fecal samples and 77 soil samples were collected. E. coli was isolated and identified using a reliable biolog system and susceptibility tested for 15 antimicrobials.
Results
Of 461 E. coli isolates tested, resistance to ≥1 antimicrobial was detected in 54% (45.1–62.7) of cattle samples, 32.2% (95% CI, 24.6–40.9) of sheep samples, 58.4% (95% CI, 47.9–68.2) of goat samples, and 57.6% (95% CI, 47.3–67.3) of soil samples. The results of multivariable logistic regression analysis revealed that sample type and agroecology, and production system were strongly associated with occurrence of resistance. The odds of resistance to ≥1 antimicrobial was nearly 7 times (OR: 6.95; 95% CI; 4.47–10.81; P < 0.001) higher in lowland pastoral production system than in highland mixed crop-livestock production system. AMR patterns for E. coli from livestock and soil showed some similarities, with the highest prevalence of resistance detected against amoxycillin/clavulanate (27.7% in soil, 29.1% in cattle, 10% in sheep and 41.1% in goat) followed by tetracycline (11.2% in soil, 4.1% in cattle, 5.6% in sheep and 13.6% in goat).
Conclusion
The results of this study provided baseline information on the antimicrobial susceptibility of E. coli isolates from livestock feces and soil in Ethiopian low- resource extensive smallholder livestock settings. Lowland pastoral areas were highly contaminated with antibiotic-resistant E. coli. Further molecular analysis of resistance genes is underway to investigate evidence of overlapping patterns of transferable resistance genes between livestock and environment.
Keywords: Antimicrobial resistance, livestock, soil, E. coli, smallholders
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Biruk Gemeda","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Comparing antimicrobial-resistant Salmonella enterica between serotypes, surveillance programs, surveillance period, and food animal sources in the United States (2014-2018): Where is the resistance coming from?","PresentationBio":null,"Title":"Dr.","FirstName":"Babafela","LastName":"Awosile","Position":"Assistant Professor","Organization":"Texas Tech University School of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/650c2b1f531d457e8fb24797fc72bbdf","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: This study aimed to compare the antimicrobial-resistant Salmonella enterica reported from the three surveillance programs in the United States i.e., Cecal, HACCP, and retail meat surveillance programs using 2014-2018 surveillance data.
Materials and methods: Antimicrobial resistance data on 29 major Salmonella serotypes and associated sources (Cattle, Swine, Chicken, and Turkey) from three surveillance programs were extracted from the website of the United States National Antimicrobial Resistance Surveillance System. Using multivariable logistic regression models, we compared individual and multi-drug resistance (MDR) in Salmonella enterica between the three surveillance programs, food animal sources, surveillance period, and Salmonella serotypes.
Results: Across the three surveillance programs and over the study period, the recovery of antimicrobial-resistant Salmonella enterica between the food animal sources were dependent on the surveillance year for all the selected antimicrobials including MDR, MDR-AmpC, and ACSSuT. Salmonella resistance to ceftriaxone, sulfisoxazole, streptomycin, tetracycline, cefoxitin, MDR-AmpC, and MDR significantly decreased over the five years in turkey sources compared with cattle sources (P<0.05). While resistance to sulfisoxazole, streptomycin, tetracycline, chloramphenicol, MDR, and ACSSuT significantly increased with time in chicken sources compared with cattle sources (P<0.05). Resistance to ampicillin, sulfisoxazole, streptomycin, chloramphenicol, and MDR significantly increased with time in swine sources compared with cattle sources (P<0.05). MDR-Salmonella enterica was less likely recovered from HACCP (OR: 0.86, 95%CI; 0.75-0.99) and retail meat (OR: 0.83, 95%CI; 0.69-0.99) programs compared with the cecal program. Except for Salmonella serotypes Dublin and Newport, most of the Salmonella serotypes were less likely resistant to the antimicrobials compared with serotype Typhimurium. Serotypes Dublin (OR: 8.96, 95%CI; 5.19-10.55) and Newport (OR: 6.58, 95%CI; 4.11-10.05) were more likely MDR-AmpC compared with serotype Typhimurium.
Conclusion: Antimicrobial-resistant Salmonella enterica recovered from chicken sources shown increased trend over the study period, while Salmonella serotypes Dublin and Newport were commonly multi-drug resistant.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Babafela Awosile","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial resistance profile of Enterobacter spp. and Proteus spp. from canine clinical isolates at a veterinary teaching hospital in South Africa","PresentationBio":null,"Title":"Dr.","FirstName":"Daniel Nenene","LastName":"Qekwana","Position":"Head of Department","Organization":"University of Pretoria","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background: Proteus and Enterobacter spp. have been associated with veterinary clinical conditions such as urinary tract and extraintestinal infections. While there is ample evidence of increasing prevalence of antimicrobial resistance among isolates of Proteus and Enterobacter spp. in human medicine, no published studies have investigated the antimicrobial resistance profiles of Proteus and Enterobacter spp. from clinical isolates of dogs in South Africa.

Methods: Records of confirmed Enterobacter spp. (n=22) and Proteus spp. (n=79) collected between January 2007 to December 2012 by the bacteriology diagnostic laboratory at a veterinary teaching hospital were reviewed and included in this study. Proportions were calculated for all the categorical variables.

Results: Among the Enterobacter isolates, all (100%, n=22) exhibited antimicrobial resistance (AMR) to at least one antimicrobial agent, 91% (20/22) exhibited multidrug resistance (MDR), 50% (11/22) extensive drug resistance (XDR), and 22.73% (5/22) Pan-drug resistance (PDR). A high number of the Enterobacter isolates were resistant to β-lactam (100%), lincosamides (100%), and macrolides (90.48%). With respect to the Proteus spp., all the isolates (100%, 79/79) were AMR, 97.5% (77/79) exhibited MDR, 50.63% (40/79) XDR and 21.52% (17/79) PDR. A high proportion of the Enterobacter isolates was resistant to lincosamides (100%), macrolides (97.44%), and tetracyclines (94.87%).

Conclusion: High prevalence of AMR was observed in this study, which highlights the high burden of antimicrobial drug resistance in South Africa. There is a need for studies to investigate drivers of resistance among pathogens of veterinary origin including Enterobacter and Proteus species
Key words: Veterinary clinical isolates, burden of antimicrobial drug resistance, developing countries, extensive drug resistance, pan-drug resistance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Daniel Nenene Qekwana","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Mapping antimicrobial resistance markers for aminoglycosides and macrolides in Campylobacter in Spanish livestock","PresentationBio":null,"Title":"Mr.","FirstName":"Vicente","LastName":"Lopez Chavarrias","Position":"PhD Student","Organization":"VISAVET Health Surveillance Centre","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4e877d09f3bc41bab73d32a2e8b218ea","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
Campylobacteriosis is currently the most important foodborne zoonosis in Europe. Treatment of severe clinical cases is hampered when antimicrobial resistance (AMR) occurs, especially if it involves aminoglycosides (gentamicin, streptomycin) and macrolides (erythromicin). We assessed the AMR phenotypes/genotypes of 152 isolates (69 C. coli, 83 C. jejuni) with the aim of determining the genomic mechanisms involved in resistance/co-resistance to these antimicrobial classes over time.

Materials and methods
The isolates (n=100) were recovered in the frame of the Spanish AMR monitoring program in 2007-2018 from faecal samples of broilers (39), turkeys (26), pigs (17) and cattle (18). They were selected based on their phenotype to include isolates resistant to one or more of the antimicrobials streptomycin (n=81), gentamicin (n=25) and erythromycin (n=51). Their genotype was assessed by whole genome sequencing. Short-reads were analysed with an ‘in-house’ pipeline and resistance markers (RMs) were identified using ResFinder/CARD.

Results
Between one and six RMs were found in >90% of the isolates resistant to each antimicrobial (Figure 1), with more types identified among macrolide-resistant (10) and gentamicin-resistant strains (8) compared with streptomycin-resistant strains (5). The median number of RMs present in resistant strains was 2 for erythromycin and 1 for streptomycin and gentamicin. Plasmid replicon rep22 was associated with resistance to all three antimicrobials.

Conclusion
Our results indicate that resistance to gentamicin and macrolides is mediated by a larger variety of genomic mechanisms compared to streptomycin, which could indicate different dynamics in the transmission and/or persistence of these resistances.

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Objectives
The objective was to investigate risk factors, including the use of antimicrobials (AM), associated with AMR in Campylobacter spp. isolates.
Material and Methods
A total of 140 dairy herds were included. Pooled fecal samples from five animals from each of three age groups (calves, heifers, lactating cows) and a manure storage sample were obtained in 2019/2020. AMU was calculated as defined course dose (the dose for a standardized complete treatment course on a standard animal) per population time (DCD/100 animals/year). Antimicrobial susceptibility testing was conducted using a microbroth dilution to determine the minimum inhibitory concentrations. Three-level, mixed effects, multivariable logistic model, with farm and sample type as random effects, were built with resistance against ciprofloxacin, nalidixic acid and tetracycline as the outcome, and sample type, region, AM class, and AMU as predictors.
Results
The largest proportion of positive samples were from cows (84%). A total of 134 farms (96%) had at least one sample type positive for Campylobacter spp. C. jejuni was the most common species isolated (93%). Resistance to tetracycline was most common across all sample types (43 to 58%), followed by fluoroquinolones (17 to 24%). Median DCD/100 animals/year was 87 (IQR: 54-145). Isolates from Ontario and from calves were more likely to be resistant. The association of AMU with resistance depended on the AM class. The probability of resistance to tetracycline was higher for each unit increase in AMU while the probability of resistance to quinolones decreased.
Conclusions
Prevalence of Campylobacter spp. was high and varied across sample types. There were regional and sample type differences in AMR patterns. AMU was associated with the recovery of tetracycline and quinolone resistant Campylobacter species, although in different directions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mariana Fonseca","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 5.E - AMR","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-09T13:30:00+00:00","BaseEndDateTime":"2022-08-09T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T18:00:00.0000000+00:00"},{"Id":"e3424a2f-bb76-4ed8-875a-a9e1c22c23b3","SessionBlockId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","Name":"5_Special Session Part 1: Strengthening Veterinary Epidemiology and One Health Capacity","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":"Chair: Navneet Dhand ","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An overview of Field Epidemiology Training Programs for Veterinarians in the Asia Pacific","PresentationBio":"Originally trained as a veterinarian in India, Navneet is currently serving as an Associate Professor in Veterinary Biostatistics and Epidemiology at The University of Sydney and as a Senior Veterinary Epidemiology Expert at the Food and Agriculture Organization of the United Nations (FAO). His research interests are in Johne’s disease, bovine brucellosis and Hendra virus and he has led several research projects for investigating the epidemiology of endemic and emerging infectious diseases. He is passionate about strengthening field epidemiology capacity and leads the Asia Pacific Consortium of Veterinary Epidemiology aiming to strengthen epidemiology capacity in the Asia Pacific region. He has also helped develop guidelines for field epidemiology training for the FAO. Navneet was named as the Research Leader in Veterinary Medicine in Australia in The Australian Special Research Report 2020.

","Title":"Dr.","FirstName":"Navneet","LastName":"Dhand","Position":"Associate Professor / Consultant","Organization":"The University Of Sydney / FAO","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/70adc21cca904892be4d1baadcb8e9b5","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Field epidemiology training programs (FETP) aim to train public health epidemiologists to investigate disease outbreaks and conduct disease surveillance. Similar programs to train veterinarians have been established in several countries with the support of the Food and Agriculture Organization of the United Nations (FAO). Thailand established the Regional Field Epidemiology Training Program for Veterinarians in 2009 in collaboration with the Thai FETP to strengthen the veterinary epidemiology capacity in the region. Many Southeast Asian countries including the Philippines, Vietnam, Cambodia, and Indonesia have established their own programs in the past two decades that vary in structure, duration, level of training and mode of implementation.

FAO organised two workshops in 2018 to review the existing programs, define core competencies, identify training gaps, and develop curricula for training field veterinary epidemiologists. Later, the Australian government’s Indo-Pacific Centre for Health Security funded a project to establish the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) to fill up some of the gaps identified in the FAO review. APCOVE involves veterinary epidemiologists from nine veterinary schools, animal health experts from eight target countries in the Asia Pacific and representatives from several international organisations.

Since its establishment in 2020, APCOVE has developed 36 eLearning modules on outbreak investigation, surveillance, risk analysis, biosecurity, One Health, and Leadership. APCOVE is also currently testing an educational approach combining online training with hands-on in-country mentored projects. To evaluate this approach, APCOVE enrolled 139 trainees from seven Asia Pacific countries in a training program in January 2022. Of these, 94 trainees have completed all 36 eLearning modules and 30 have been selected to undertake further hands-on field projects.

Further efforts are required to improve mentor and facilitator training, develop approaches for evaluation and certification, and improve the career progression of trainees to make field epidemiology training programs for veterinarians sustainable.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"13:35:00","EndTime":"14:00:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Navneet Dhand","TimeDisplay":"1:35 PM - 2:00 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"\r\nField Veterinary Epidemiology in the Asia-Pacific: Gaps and training needs for infectious disease investigation\r\n","PresentationBio":"Dr (Lt Col) Harish Tiwari has a PhD from Murdoch University, Australia. A veterinary graduate from Assam Agricultural University Dr Tiwari is a veterinary epidemiologist starting his career as a field veterinarian with a dairy cooperative before being commissioned to Indian Army where he served in various position in peace and field locations for 16 years before taking voluntary retirement as a Lieutenant Colonel (Lt Col). A recipient of ICAR Junior Research Fellowship for his Masters from PAU, Ludhiana, Col Tiwari won the International Postgraduate Research Fellowship to pursue doctorate during which he developed novel approaches to dog enumeration in India and authored the thesis titled ‘Free-roaming dog population, community perception and control of dog-related rabies: the Indian story’.
Harish is a Research Fellow with Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) project that is led by University of Sydney to strengthen the veterinary workforce in Asia-Pacific for Infectious Disease Detection and Response (vet-APIDDaR). He has served as a consultant with AUSVET pty. Ltd’, whence he mostly supported Mycoplasma bovis education programme in New Zealand, besides working on FAO project. Currently, he is a Research Fellow with Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) project that is led by University of Sydney to strengthen the veterinary workforce in Asia-Pacific for Infectious Disease Detection and Response (vet-APIDDaR). He also provides freelance consultancy for OIE (World Organisation for Animal Health) and CHAI (Clinton Health Access Initiative) for various projects. Recently, Dr Tiwari has won the prestigious Wellcome Trust/DBT India Clinical & Public Health Intermediate fellowship to implement One Health approach for rabies control in India.
Harish is a passionate veterinary epidemiologist dedicated to providing evidence-based solutions to control/eradicate animal diseases. A keen observer of the veterinary (and rural) issues of developing world and realise the immense potential the farm sector harbours to improve not only economic but also social standing of farmers and their families. Improving farmers lives through improved farm practices would enable to contribute towards Sustainable Developmental Goals (SDG) as envisaged by the UN.
His areas of interest are One Health, large animals’ disease investigation, welfare, with a keen interest in production diseases. He understands the integrated approach through operational or implementation epidemiology and its scope to make positive change in the lives of people in general and lives of farmers and rural population in developing countries.


","Title":"Mr.","FirstName":"Harish","LastName":"Tiwari","Position":"Research Fellow","Organization":"The University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
To understand the current epidemiology capacity and to identify gaps in six countries in Asia Pacific (Cambodia, Indonesia, Laos PDR, Philippines, Timor-Leste, and Vietnam).

Materials and method
A mixed-method study design with concurrent triangulation was conducted targeting the veterinary workforce across the six countries of the region. A cross sectional survey and semi-structured key informant interviews (KII) were used to collect data regarding the current capabilities of the veterinarians, during September to December 2021 to identify gaps and the training needs. Questions focused on veterinary services, epidemiology capacity, disease control, surveillance, One Health, biosecurity, and biosafety. Logistic regression, and a deductive thematic analysis was used for quantitative and qualitative data, respectively.

Results
A total of 858 questionnaire surveys and 131 KIIs were conducted across the six focus countries. The majority (70-90%) of the respondents lacked formal epidemiology training and experience in animal disease control core competencies, although a higher proportion (80-95%) confirmed adhering to adequate biosecurity practices. Major weaknesses of the veterinary services included limited staff, an inadequate number of veterinarians trained in epidemiology, limited facilities, budgetary constraints, and disconnect between the central and community levels, indicating system-level inadequacies. All the countries of the region indicated a high priority for field epidemiology training for veterinarians.

Conclusion
The study found critical gaps in EID preparedness and highlighted training needs. We recommend strengthening field epidemiology training programs focussing on delivery of veterinary services, epidemiology capacity, disease control, surveillance, One Health, biosecurity, and biosafety for the veterinary workforce in the Asia Pacific region.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"14:00:00","EndTime":"14:12:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Harish Tiwari","TimeDisplay":"2:00 PM - 2:12 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"How to herd ‘wild’ cats: Lessons learnt when designing field epidemiology e-learning modules with multiple contributors.","PresentationBio":"Alexandra has been a Postdoctoral Researcher in the Sydney School of Veterinary Science, at The University of Sydney since 2020. Her research primarily involves veterinary biostatistics, where she breaks down complex datasets to solve animal-related research problems using clinical, field, survey, veterinary practice, and production data.

Alexandra joined the APCOVE project in 2021. Her main responsibility has been coordinating the development and release of 36 e-learning modules on various competencies in veterinary epidemiology. In this role, she liaised with the module development teams, managing their time and tasks. She was also a member of the APCOVE E-learning Committee which oversaw any e-learning related issues. Additionally, she co-developed three modules on data analysis and this included recording 18 short videos, including ones for use of Microsoft Excel®, data cleaning and organisation, and descriptive analysis.

","Title":"Miss","FirstName":"Alexandra","LastName":"Green","Position":"Postdoctoral Researcher","Organization":"The University of Sydney","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f36b6b5871bf48f680884b66921596b8","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Field epidemiology training has traditionally been undertaken face-to-face. Face-to-face training is expensive, does not scale well, and requires participants to step away from their organisations, which can negatively impact the organisations' response to animal health events. E-learning modules delivered asynchronously provide a cost-effective mechanism to train large numbers of veterinarians on-the-job. In 2020 a consortium of 40-plus veterinary epidemiologists across the Asia-Pacific jointly developed 36 e-learning modules to strengthen field epidemiology capacity in the region. The modules were grouped into six key competencies: i) fundamental concepts (6 modules), ii) outbreak investigation and response (7 modules), iii) surveillance and data analysis (7 modules), iv) risk assessment and disease control (5 modules), v) One health and biosecurity (7 modules), and vi) leadership and communication (4 modules). To distribute the workload and streamline expertise, each module was created by at least three content creators including an in-country partner. This approach had a non-negligible risk that some modules may conflict, have unnecessary repetition or omissions. An e-learning committee oversaw the development of these modules using a combination of pre- and post-hoc strategies to control these risks. First, virtual workshops were held to discuss the content for each module in detail and adjust if necessary. Further, guidelines including a module template were created to standardise presentation of the content and streamline the creation of the e-learning modules. Each module was reviewed by dedicated topic and competency experts as well as by committee members to validate and harmonise format and content. In January 2022, the first cohort of trainees began working through the modules. Trainees evaluated the course at the end of each module and complete a summative assessment, the results of which, will form the basis for an evaluation of the effectiveness of e-learning modules in providing field epidemiology training. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"14:12:00","EndTime":"14:24:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"AlexandraCGree1","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"AlexandraCGree1","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=AlexandraCGree1","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=AlexandraCGree1","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Miss Alexandra Green","TimeDisplay":"2:12 PM - 2:24 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using Field Projects to Strengthen Veterinary Epidemiology Capacity in the Asia-Pacific Region.","PresentationBio":"Simon is an Associate Professor in Veterinary Epidemiology and Public Health in the Faculty of Veterinary and Agricultural Sciences, The University of Melbourne. He teaches epidemiology into the Doctor of Veterinary Medicine, One Health breadth subjects and the Animal Disease Biotechnology stream of the Science degree. His research focuses on modelling infectious disease outbreaks, Bayesian diagnostic test validation, zoonoses surveillance, outbreak investigation and control, with projects on COVID-19, Q fever, foot-and-mouth disease, African swine fever, Mycoplasma bovis, foodborne disease, influenzas and arboviruses. Before heading into academic, Simon worked as a consultant for the World Health Organisation and Vets without Borders in Southeast Asia, and is a founding member of an OIE Collaborating Centre for Diagnostic Test Validation Science in the Asia-Pacific Region.","Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Organization":"Melbourne Veterinary School","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Since 2019, the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) has undertaken online training activities aimed at strengthening of the veterinary epidemiology workforce in seven countries in the Asia Pacific region (Cambodia, Indonesia, Laos PDR, Philippines, Papua New Guinea, Timor-Leste, and Vietnam).

The APCOVE program has now moved into the “applied teaching” phase. Following successful completion of the eLearning modules, participants undertake field epidemiology research projects. The purpose of these projects is to build capacity by providing opportunities for the trainees to extend, apply and utilise their knowledge and skills in epidemiological investigation developed in the eLearning modules through hands-on field projects.

This presentation will overview the concept of teaching by application using 35 trainees and their selected domestic projects as a case study for practical ways of strengthening the veterinary epidemiology workforce in resource poor countries, while using available infrastructure and resources. The projects have been selected based on situations of relevance to the epidemiology workforce, where eLearning outcomes can be applied. Topics cover One health, veterinary public health, transboundary animal diseases, or make contributions to confronting the impacts of food security and climate change challenges.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"14:24:00","EndTime":"14:36:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Simon Firestone","TimeDisplay":"2:24 PM - 2:36 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Field Epidemiology Training Programmes for Veterinarians: Challenges and future directions","PresentationBio":"Originally trained as a veterinarian in India, Navneet is currently serving as an Associate Professor in Veterinary Biostatistics and Epidemiology at The University of Sydney and as a Senior Veterinary Epidemiology Expert at the Food and Agriculture Organization of the United Nations (FAO). His research interests are in Johne’s disease, bovine brucellosis and Hendra virus and he has led several research projects for investigating the epidemiology of endemic and emerging infectious diseases. He is passionate about strengthening field epidemiology capacity and leads the Asia Pacific Consortium of Veterinary Epidemiology aiming to strengthen epidemiology capacity in the Asia Pacific region. He has also helped develop guidelines for field epidemiology training for the FAO. Navneet was named as the Research Leader in Veterinary Medicine in Australia in The Australian Special Research Report 2020.

","Title":"Dr.","FirstName":"Navneet","LastName":"Dhand","Position":"Associate Professor / Consultant","Organization":"The University Of Sydney / FAO","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/70adc21cca904892be4d1baadcb8e9b5","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Panel Discussion

Dr Laura Macfarlane-Berry
Department of Agriculture, Fisheries and Forestry / University of Newcastle

Dr Mark Stevenson
Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Australia

Dr Jenny-Ann Toribio
The University of Sydney

Dr Navneet Dhand
The University of Sydney / Food and Agriculture Organization of the United Nations (FAO)
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"14:36:00","EndTime":"15:00:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Navneet Dhand","TimeDisplay":"2:36 PM - 3:00 PM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"5_Special Session Part 1: Strengthening Veterinary Epidemiology and One Health Capacity
Chair: Navneet Dhand ","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-09T13:30:00+00:00","BaseEndDateTime":"2022-08-09T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T18:00:00.0000000+00:00"},{"Id":"7346e8bb-cb44-4226-806d-b3ebd0891451","SessionBlockId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","Name":"Breakout Session 5.A - ISESSAH","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Combining epidemiology and economics to assess control from a viral endemic and nonreportable animal disease: the Porcine Reproductive Respiratory Syndrome (PRRS)","PresentationBio":null,"Title":"Mr.","FirstName":"Pablo","LastName":"Valdes-Donoso","Position":"Assistant Professor","Organization":"Universite de Montreal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: We analyzed how increasing vaccination of different efficacies in sow farms reduces PRRS losses and whether it is profitable.

Material and methods: We developed a SIR model with heterogeneous parameters to simulate the spread of PRRS outbreaks between and within swine farms located in a region of Minnesota. We simulated the disease spread caused by viral strains of different virulence. We converted estimated mortality and morbidity losses on individual farms into economic losses. Assuming different vaccine efficacies, we calculated vaccination benefits as the difference between farm losses with and without vaccination.

Results: If vaccination obeys solely on individual willingness to vaccinate, our simulations indicate that vaccine benefits are heterogeneous and vary significantly by the farm, vaccine efficacy, and the expected level of virus virulence. When vaccine efficacy is assumed to be 50%, less than half of sow farms would vaccinate if each were vaccinating in isolation, even if expecting a highly virulent strain. However, we found that increasing collective vaccination of sow farms raises the private profitability of vaccination for nearly all vaccinating farms and conveys benefits to non-vaccinating farms. We also found that although vaccination reduces sector losses, large losses from PRRS remain.

Conclusions: Our analysis suggests that vaccination may be economically attractive to reduce damages from the PRRS virus. More importantly, the presence of strong positive external effects suggests that an industry-coordinated strategy might further reduce disease losses. These results can provide useful insights into the dynamics of endemic animal disease and the benefits of different vaccination regimes within a region.

Keywords: PRRS, control endemic disease, private and social economic optimum, disease transmission model","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","40011888-980a-402c-868e-27ff2aacbc1b","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Pablo Valdes-Donoso","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Participatory approach: a way to improve farmer’s animal health management ","PresentationBio":null,"Title":"Dr.","FirstName":"Mily","LastName":"Leblanc-Maridor","Position":"Lecturer-researcher","Organization":"Inrae, Oniris","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1-Objectives
Through the evaluation of farmers' participatory meetings led by their veterinarians on animal health topics, the objectives of this study are: (i) to see how the organization modalities influence the satisfaction, the learning and the behaviors of the farmers, (ii) to understand which are the main important factors that play a role between meetings’ organization modalities and individual or situational factors, and (iii) to define if and how this type of device should be continued.

2-Material and methods
Each of the seven participatory meetings organized within a European research program was assessed by three methods: (i) a meeting’s observation performed by an external observator, (ii) a questionnaire form proposed right after the meeting and (ii) a qualitative semi-directive interview performed later with 23 farmers, and 8 vets.

3-Results
The overall perception of this approach was very positive, even though we noticed that various factors can impact the satisfaction and the learning effects, such as how is the meeting organized, how the group cooperates, how the facilitator interacts with the group.

All farmers enjoyed the dynamic exchange between the participants and with the vet. Vets were appreciated since they could give them preventive keys through top-down information, knowledge to make reminders about health management, and create learning on certain concepts by fostering exchanges between peers.

The results showed also that the modalities of the meetings mainly influence the satisfaction, the learning process and the intention of farmers, whereas the onward changes in farmer’s behavior and practices rather depend on individual and situational factors, specific to the farmer and his farm.

4-Conclusion
This participatory approach has been demonstrated to be a new way to improve farmer’s herd health management. In the future, adjustments are needed especially for a better transfer of learning by providing a personalized support post-meeting by the veterinarian.



","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mily Leblanc-Maridor","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"FAIR evidence assessment and variable collation for the Global Burden of Animal Diseases programme: development of a future-proofed pipeline process ","PresentationBio":null,"Title":"Ms.","FirstName":"K. Marie","LastName":"McIntyre","Position":"Senior Analyst","Organization":"Global Burden of Animal Diseases programme, University of Liverpool","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The Global Burden of Animal Diseases (GBADs) programme seeks to “measure to improve” animal health at a local, national and global-levels, providing evidence-based investment plans for veterinary services and supporting high quality evaluation of existing animal health investments. GBADs’ long-term aim is to develop a ‘living’ review process. Fundamental to this is structured and consistent evidence assessment and variable collation processes from published research literature. This presentation describes development of a FAIR (guiding principles) gold standard evidence assessment and variable collation pipeline for GBADs, with architecture aiming to: develop search terms and strategies to identify and thereafter synthesise the most appropriate article evidence; best understand and minimise review biases; be appropriate so that additional eligibility criteria can be added to reviews; and minimise future workloads of GBADs collaborators.

Materials and methods: An ‘Inception table’ was developed for use by GBADs collaborators, adapted from the PRISMA 2020 statement/checklist; this is used to prepare search strategies for reviews, including selectively and iteratively improving search and Medical Subject Headings (MeSH) terms identified using relevant peer-reviewed and grey literature publications, and snow-balling mechanisms e.g. connectedpapers.com and the Medline ‘similar articles’ function. Following the implementation of search strategies in multiple literature databases and deduplication of results, the sifting of captured articles and extraction of data is undertaken using theSysrev.com software to develop a structured scoping review process for GBADs.

Results: Development of GBADs reviews will be demonstrated using examples, including describing the results of data-mining algorithms used within Sysrev to re-rank articles for reviewing, based upon accepting/rejecting as a result of ‘labels’ describing their contents.

Conclusion: GBADs uses a systematic, structured evidence reviewing process. Improvements could be made to: search terms associated with reviews e.g. by using topic mining; refining label criteria including/excluding articles; and data mining algorithms to re-prioritise articles during sifting.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. K. Marie McIntyre","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Restricting antimicrobial use in dairy production in Quebec, Canada: Barriers, facilitators and impacts ","PresentationBio":null,"Title":"Dr.","FirstName":"Nikky","LastName":"Millar","Position":"","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: qualitative research, COM-B model
Objectives: Since February 2019, a new regulation restricting the use of antimicrobials of very high importance in human medicine (3rd and 4th generation cephalosporins, fluoroquinolones, and polymyxins; also defined as category I antimicrobials by Health Canada) was implemented in food producing animals in Quebec, Canada. Therefore, the objectives of the study were to investigate barriers and facilitators to the implementation of the regulation by dairy farmers and veterinarians, and to identify its main consequences.
Material and methods: Individual semi-structured interviews were performed with 15 veterinarians and 27 dairy producers from the province of Quebec. A thematic analysis was perform based on the COM-B model.
Results: The results showed that awareness about antimicrobial use and antimicrobial resistance, fear of economic consequences and the veterinarian-producer relationship influenced the producer's willingness to comply with the regulation. The delay to get diagnostic test results was also an obstacle to respect the new regulations, as waiting for several days for a test result to treat an animal was considered as an animal welfare issue by several producers. Other barriers included the lack of access to veterinary services for producers living in remote areas, and the lack of alternatives to Category 1 antimicrobials. Producers perceived that the new regulation had economic consequences in different ways; some producers felt they lost money while others reported making more profit. An increase in activities targeting disease prevention was also reported as a positive outcome.
Conclusion: This study contributes to better understand the factors and impacts associated with the restriction of antimicrobial use in dairy farming in a North American context. Results will be useful to better prepare the implementation of similar regulations in the future in order to minimize their economic, health and social impacts for producers and veterinarians working in the dairy industry.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","1304e690-d6da-410b-9c6d-a8c1adf431e9","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Nikky Millar","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Economic impacts of alternative antimicrobial use management options on UK pig farms","PresentationBio":null,"Title":"Dr.","FirstName":"Shailesh","LastName":"Shrestha","Position":"Agricultural Economist","Organization":"Scotland's Rural College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9effe914602e4bd6baf9742e61a25e59","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives: This research aimed to explore economic impacts of three alternative antimicrobial use (AMU) management options to reduce AMU on a highly profitable pig farm and a mid-range pig farm.
2. Materials and methods: A farm economic pig model (FEPM) that optimises farm profit was used on two representative farms; a top-third most profitable farm and a mid-range profitable farm. Three AMU alternative management options were selected for this study; a) reduction of AMU by 35% coupled with management changes, b) reduction of AMU by 95% coupled with management and biosecurity improvement, and c) implementing de-population of herd. A baseline scenario was used to compare and determine the impact of these alternative AMU options on profit of the two farm types. A sensitivity analysis was conducted to determine the effect of changes in pig revenue, variable costs and feed price on farm profits.
3. Results: The impact of the alternative AMU options are slightly higher ( -7%) on farm profit in the top-third group compared to the mid-range farm. The AMU35% option is estimated to have a small but positive impact (+3% profit) on both farm types. However, there is a substantial reduction (-50%) in farm profits under the other AMU options. Nevertheless, both farm types stay profitable under all AMU options. Farm profits are sensitive to changes on feed prices with a 10% or higher increase in feed price is estimated to move a profitable farm into a loss making farm.
4. Conclusion: The AMU35% option is estimated to be the best management option economically on a short term but has the lowest AMU reduction. The other AMU options have higher AMU reduction but also require larger variable cost and hence lower farm profitability. An increase in feed prices can lead farms to lose their profits substantially.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Shailesh Shrestha","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Toward a reduction of antimicrobials in Vietnam: understanding the transition process of chicken farmers","PresentationBio":null,"Title":"Miss","FirstName":"Chloé","LastName":"Bâtie","Position":"Phd Candidate","Organization":"CIRAD","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Fostering transition toward prudent antimicrobial use (AMU) by chicken farmers in Vietnam is urgently needed. To identify levers to activate to support this change, the process of transition of farmers to better AMU needs to be understood from a socio-economic and multi-stakeholder perspective. In this study, we seek to understand why and how farmers from different production systems achieve a change in their practices and to determine the influence of their social network on their transition process.
We conducted a qualitative study including 30 semi-structured interviews in Phu Binh district, Thai Nguyen province with breeders, traders, veterinarians, and drug sellers. We also observed chicken farms, feeding activities, and interactions between these stakeholders. From a thematic analysis, we described the transition pathway of farmers and identified constraints and levers to reduce AMU.
We identified farmers’ profit-oriented production patterns, intensive farming, and the high disease incidence as main barriers to changing practices. To overcome these barriers and reduce AMU, changes appeared at the farms and value chain level. At the farm level, breeders use technical measures such as local preparation of probiotics, improved vaccination, and biosecurity through workshops organized by private or public actors. At the value chain level, the solution came through the development of cooperatives. These groups of farmers guarantee financial stability as well as technical support to practice change. However, these groups have been established on a spontaneous basis and can be the levers to access a distribution network specialized in quality products with less antibiotic use.
We believe that innovative solutions emerging from the local level need to be considered to effectively reduce AMU in chicken production. The successful individual strategies could be communicated to policymakers and included in the national strategy to reduce antibiotic use to increase the benefices of the different actors of the value chain.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","1304e690-d6da-410b-9c6d-a8c1adf431e9","6d2507a9-e756-4ab4-ae03-e679e391c7e6","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Chloé Bâtie","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 5.A - ISESSAH","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-09T13:30:00+00:00","BaseEndDateTime":"2022-08-09T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T18:00:00.0000000+00:00"},{"Id":"b4f8df75-42e5-4b50-a828-fc749df07a9a","SessionBlockId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","Name":"Breakout Session 5.C - Network Analysis","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Descriptive network analysis and influence of timescale on centrality and cohesion metrics from a system of between-herd dairy cow movements in Ontario, Canada","PresentationBio":null,"Title":"Mr.","FirstName":"Reilly","LastName":"Comper","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Previous research has demonstrated that static monthly networks of between-herd dairy cow movements in Ontario, Canada were highly fragmented, reducing potential for large-scale outbreaks. Extrapolating results from static networks can become problematic for diseases with an incubation period that exceeds the timescale of the network. The objectives of this research are to: 1) describe the networks of dairy cow movements in Ontario, and 2) explore how network analyses conducted at different timescales can influence the interpretation of between-farm disease transmission risk.
Materials and methods: Networks of dairy cow movements were created using Lactanet Canada milk record data collected in Ontario between 2009 and 2018. Centrality and cohesion metrics were calculated after aggregating the data at seven timescales: weekly, monthly, semi-annual, annual, biennial, quinquennial, and decennial.
Results: There were 50,598 individual cows moved between Lactanet-enrolled farms, representing approximately 75% of provincially registered dairy herds. Most movements occurred over short distances (median = 39.18 km), with fewer long-range movements (maximum = 1150.80 km). The number of edges increased marginally relative to the number of nodes with longer network timescales. Both mean out-degree (OD), and mean clustering coefficients (CC) increased disproportionately with increasing timescale (ODweekly=0.61, ODdecennial=5.08; CCweekly=0.007, CCdecennial=0.036). Conversely, mean network density (ND) decreased with increasing timescale (NDweekly=0.0089, NDdecennial=0.0011). The largest weak and strong components at the monthly timescale were small relative to the full network (267 and 4 nodes), whereas yearly networks had much higher values (2213 and 111 nodes).
Conclusion: Higher relative connectivity in networks with longer timescales suggests pathogens with long incubation periods and animals with subclinical infection present increased potential for wide-spread disease transmission among dairy farms in Ontario. Careful consideration of disease-specific dynamics should be made when using static networks to model disease transmission among dairy cow populations.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Reilly Comper","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Investigating effect of disease, familiarity and weaning stress on sociality of dairy calves using sensors","PresentationBio":null,"Title":"Mr.","FirstName":"Jorge Alberto","LastName":"Vazquez Diosdado","Position":"Assistant Professor","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: disease, sociality, familiarity, weaning, sensors

Objective

In this study we investigate the effect that health, weaning and familiarity can have on social measures of calves from early life. Our results provide new insights on the impact that health and other stressors can have on early development of social behaviour in cattle.


Materials and Methods

For the study 80 calves from 5 different cohorts were enrolled from February until October 2021 at a dairy farm in the UK. Social measures from aggregated networks on a 4 days basis were computed from proximity interactions (defined by <1meter and >5minute thresholds) obtained by ultrawideband location sensor technology (Sewio Leonardo).

Methods

We used a Markov Chain Monte Carlo (MCMC) framework to measure the relationship between association strength and familiarity, difference in age, breed, sex. Social differentiation of the networks was tested using the observed coefficient of variation in association strength against 10000 randomised version of the networks. An individual linear mixed model for different social measures (association strength, centrality, closeness, betweenness and coefficient of variation) was used to investigate the effect that health and weaning have.

Results

Our results suggest that calves that get sick have a significantly lower number of interactions and centrality (lower ranking) that calves that are healthy. Calves that were weaned have significantly higher number of interactions and significantly lower centrality that those are healthy. Additionally, calves have significantly higher number of interactions with calves that they were paired at birth.

Conclusions

The present study shows the effect that different factors such as health, weaning and familiarity have on the formation of long-stand social relationships of cattle. Changes in sociality can be used to further improve detection of diseases in calves.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","19e01dc9-22cb-4850-9e42-985898b24c36","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Jorge Alberto Vazquez Diosdado","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bayesian network analysis of dairy nutrition, automatic milking systems, and milk production. ","PresentationBio":null,"Title":"Mrs.","FirstName":"Doerte","LastName":"Doepfer","Position":"Professor","Organization":"University of Wisconsin","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The objective of this study was to explore the associations among nutrition variables and automatic milking systems (AMS) variables with milk production variable fat and protein corrected milk (FPCM).
Materials and Methods: A Bayesian causal network (BCN) analysis was performed on a data set of 88 North American dairy farms with AMS (Lely Industries N. V., Maassluis, the Netherlands) to explore the associations of these strategies on FPCM. The BCN analysis was repeated 1,000 times using a bootstrap and averaging model method. The arcs/connections presented in 85% of the 1,000 networks produced during the model averaging step, were selected to be included in the final BCN model.
Results: The network analysis illustrated in Figure 1 revealed that nutritional variables (diet components) converged around the nutritional variable Partially Mixed Ration Energy Concentration (PMR Mcal Conc.). The AMS variables (milking robot associated variables) converged around the AMS variable number of Milkings/Cow/Day. The network recognized the variables % Energy Offered at the Robot and kg Concentrate Offered/100kg milk as the two major connection points (nodes) between nutritional variables and production variables. The BCN analysis confirmed that increasing PMR Mcal Conc. was associated with a decrease in % Energy Offered at the Robot and kg Concentrate Offered/100kg milk and feed efficiency related to FPCM/Dry Matter Intake (DMI).
Conclusion: The BCN analysis provides a broad understanding of the nutrition and AMS variable associations and their individual influence on production, this may be used as a decision aid to advise dairy herd management.
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Methods: We collected all twitter impressions for bTB and BVD over two years. We identified the most influential users by background, nature, job, and disposition and applied text and sentiment analysis to classify the content and polarity (positive, negative, neutral) of each tweet.

Results: As expected, agricultural terms were most important for BVD, but bTB was dominated by badger culling. Sentiment analysis reveals BVD discourse was more neutral or positive, but bTB had more extremely negative content. User classification shows bTB was dominated by activists and conservationists, whereas BVD was dominated by farmers, vets, and related companies. Despite this, the structures of the two twitter networks were remarkably similar.

Conclusions: In our networks, the nature of discourse did not influence the network structure substantially. The mechanisms of dissemination remained similar, even when sentiment shifted the overall tone of discourse. These results suggest that, in this case, polarisation was a natural outgrowth of existing patterns of information dissemination, rather than forging new patterns itself.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4337e163585947708fa98cd8fc9d12de","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":"drcjbanks","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"drcjbanks","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=drcjbanks","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=drcjbanks","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Chris Banks","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"690e94cf-7092-4d5a-a0cf-b0f8be4393b8","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 5.C - Network Analysis","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-09T13:30:00+00:00","BaseEndDateTime":"2022-08-09T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-09T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T18:00:00.0000000+00:00"},{"Id":"8ce62302-d022-4f86-8253-4c692a0edc05","SessionBlockId":null,"Name":"Tuesday PM Bio Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"15:00:00","EndTime":"15:30:00","StartTimeOverride":"15:00:00","EndTimeOverride":"15:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom B3","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"8ce62302-d022-4f86-8253-4c692a0edc05","StartTimeString":"3:00 PM","EndTimeString":"3:30 PM","StartToEndTimeString":"3:00 PM - 3:30 PM","StartToEndTimeSortString":"3:00 PM - 3:30 PM","DisplayDetails":"Tuesday PM Bio Break │ Exhibits","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"3:00 PM - 3:30 PM","StartTimeOverrideString":"3:00 PM","EndTimeOverrideString":"3:30 PM","StartToEndTimeOverrideString2":"3:00 PM - 3:30 PM","BaseStartDateTime":"2022-08-09T15:00:00+00:00","BaseEndDateTime":"2022-08-09T15:30:00+00:00","BaseStartDateTimeOverride":"2022-08-09T15:00:00+00:00","BaseEndDateTimeOverride":"2022-08-09T15:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T18:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T18:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T18:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T18:30:00.0000000+00:00"},{"Id":"a2fa3544-ac54-4db4-9895-35fdcbdbadea","SessionBlockId":"9d56c4dd-cc5f-4686-a017-2368caed3823","Name":"Breakout Session 6.A - ISESSAH","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Sources of variation in veterinary prescription of antibiotics in Bhutan: a multilevel modelling approach","PresentationBio":null,"Title":"Dr.","FirstName":"Juan Pablo","LastName":"Villanueva Cabezas","Position":"","Organization":"The University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/26e8c3dd4bc341238c061bb9da576ea7","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
An audit of veterinary consultations in Bhutan found substantial variability in antibiotic prescriptions to livestock. We produced multilevel models to explore two questions: first, what fraction of unexplained variability in antibiotic prescription to any species is associated with consultation and animal health premise (AHP) levels after causal assumptions have been addressed? And second, what fraction of unexplained variability in antibiotic prescription to cattle is associated with these levels?

Materials and methods
Handwritten consultation records (n=1824) from 2017 were collected from 23 AHP selected using probability proportional to the size of the livestock population under their jurisdiction. A maximum of 120 consultations records (10/month) were randomly selected for each AHP. Direct acyclic graphs were produced to explore causal assumptions. Explanatory multilevel models were coded in OpenBUGS to obtain Bayesian inferences derived from the joint posterior distribution produced by Markov Chain Monte Carlo simulations.

Results
Model 1 suggests that 94% of the unexplained variability in antibiotic prescription to any species resides in consultations (intra-AHP correlation = 6%). Poultry have higher odds of antibiotic prescription than cattle (Odds Ratio: 9.1; Credible interval: 5.6-15.1) while increasing livestock units presented to a consultation reduces the odds (OR: 0.8; CI: 0.7-0.9). Model 2 also suggests high unexplained variability associated with consultations (intra-AHP correlation =12%). Female animals have 0.6 of the odds of antibiotic prescription of males (CI: 0.4 – 0.9). Infections and afflictions of the eye and udder have similar odds of being treated with antibiotics. In both models, antibiotic prescription odds are similar between AHP led by veterinarians and para-veterinarians.

Conclusion
Antibiotic stewardship initiatives should target prescribers and focus on the consultation approach. The current interpretation of National Standard Treatment guidelines should be revised. Stewardship monitoring would benefit from veterinary records including the ID of the professional performing the consultation.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","43f42602-f380-4a8a-9da3-ce05b383dc09","9f2295d7-194f-44de-9cea-8eb77d958e64","c54f9b9d-8dfb-410e-9187-f32dd54c71fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Juan Pablo Villanueva Cabezas","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Disseminating veterinary evidence to decision-makers through remotely-accessible knowledge translation tools: Pilot study on dairy veterinarian antimicrobial stewardship","PresentationBio":null,"Title":"Ms.","FirstName":"Sydney","LastName":"Pearce","Position":"Phd Candidate","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7aba3ef971354a4eb176c98882dd6a69","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Assess the impact of remotely accessible knowledge translation (KT) tools on Ontario bovine veterinarian antibiotic use decision-making for intramammary infection (IMI) prevention and bovine respiratory disease (BRD) treatment.

Materials and Methods: A pilot randomized controlled trial was conducted to assess antibiotic decision-making before and after KT tool intervention. Tools were developed by the research team and contained information about antibiotic classification based on importance to human medicine and systematic reviews synthesizing antibiotic efficacy for IMI and BRD, as well as effective practices and antibiotic alternatives for IMI. Twenty-one veterinarians were randomly assigned one of four tools: original publications (control, n=5), website (n=5), podcast (n=6), mobile gaming-app (n=5). Participants completed three surveys: a baseline, follow-up one month after receiving their tool, and final follow-up two months after the first. The baseline survey addressed i) antibiotic decision-making factors, ii) prescription and practice in scenarios, iii) preferences for receiving information, iv) barriers to accessing information. Follow-ups re-addressed i) and ii) to quantify changes as well as v) perception of tool, vi) barriers experienced, vii) suggestions for improvement.

Preliminary Results: Among participants who completed the first follow-up (n=20), the website performed best with all assigned the intervention stating it was very effective for learning information. All tools received at least one very effective rating, therefore preference may depend on the user. Overall, nineteen found the information in the tools to be moderately-very valuable for practice and fourteen stated very high likelihood of implementing what they learned. Lack of time was the most cited barrier to using the tools (n=15).

Conclusions: This work identifies common barriers to accessing information and preferred KT tools. It supports antimicrobial stewardship by determining how to provide busy practitioners with accessible information. When considering original population context, findings may apply to other areas.

Keywords: Antimicrobial stewardship, practitioners, knowledge translation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["07442f92-20d6-40eb-b297-c4897bc5781e","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Sydney Pearce","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Economic evaluation of the control program for Staphylococcus aureus genotype B in dairy cattle in canton Ticino, Switzerland","PresentationBio":null,"Title":"Dr.","FirstName":"Beat","LastName":"Thomann","Position":"Senior Research Assistant","Organization":"University of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Staphylococcus aureus genotype B (SAGB) is an important causative agent of contagious mastitis, and causes substantial economic losses in dairy cattle. The aim of this study was to assess the economic profitability of the SAGB control program implemented in 2018 in the Canton of Ticino, Switzerland. Findings from this study should serve as input for evidence-based and optimized planning for a potential nationwide control program.
Impacts on various production parameters were assessed using empirical data in multilevel mixed-effects models. A stochastic benefit-cost-analysis based on production models and gross margin analyses compared total benefits and costs over a 10-year period.
Epidemiological results showed that the control program was highly effective and that SAGB infections have been successfully eliminated from most dairy farms in Ticino. Annual farm-level financial benefits obtained by eradicating SAGB in initially positive farms were €1'297, 1'856 and 2'240 for small, medium and large farms, respectively. At the animal level, benefits ranged from €86 – 93 per cow and year. At cantonal level, SAGB infections caused median disease costs of €114'000 (90% central range: 62'000 – 152'000) per year at the initial herd-level prevalence of 35% before the start of the eradication program. The median net present value (NPV) obtained was -€827'000 (90%CR: -457'000 to -1'334'000) with a benefit-cost ratio of 0.57. Sensitivity analyses showed that outcomes were most sensitive to changes in the variables \"milk yield reduction\" and \"veterinary costs\".
Overall, these outcomes imply that from an economic point of view the SAGB control program is not profitable at the Cantonal level, despite the positive effects at the individual farm level. To establish an economically profitable nationwide program, it is essential to optimize resource allocation, for instance, by adopting a risk-based surveillance approach with adjusted sampling and control protocols to make the program more cost-effective.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Beat Thomann","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Partitioning and cost-effective on-farm surveillance for African Swine Fever control","PresentationBio":null,"Title":"Dr.","FirstName":"Francisco J.","LastName":"Zagmutt","Position":"Managing Director","Organization":"EpiX Analytics","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: As African swine fever (ASF) continues its worldwide expansion, its control still mainly relies on whole-herd depopulation and movement control. Despite the importance of early detection and rapid reporting for effective control, approaches to getting producers to invest in on-farm surveillance and early reporting are limited. Meanwhile, accounts of delayed reporting or emergency sales of animals in case of ASF suspicion are common. We describe a cost-effective approach to incentivize individual producers to conduct surveillance, early detection, and prompt ASF reporting.
Materials & Methods: Partitioning is a voluntary public-private partnership framework with three components (Figure). We developed a simulation model incorporating farm management, ASF dynamics and diagnostics (incl. preclinical testing strategies), and economics to design cost-effective on-farm surveillance for early detection. A conditional mean sensitivity analysis was used to estimate the effect of parameters on total cost and probability of ASF detection
Results: Cost-effectiveness of on-farm surveillance most influenced by the timing of testing relative to ASF introduction and on-farm flows of animals, extent of culling, costs of testing, sensitivity and specificity of preclinical testing, costs of false positive / negative results. Partitioning is of greater value in areas with higher risk of ASF infection, when fewer resources are available for culling compensation, and when the pork industry structure makes compartmentalization unfeasible.
Conclusions: Partitioning aims to align the economic incentives of individual producers for surveillance and early reporting with that of competent authorities for risk reduction at country level.
Keywords: public-private partnership, African Swine Fever, disease control, depopulation, surveillance","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d7971f9f3478423aabe88cc2a45f8855","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","512e7a65-c837-49ce-8f06-827e25887293","5178adf1-eaeb-4d5b-8fce-b18677488f5a","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Francisco J. Zagmutt","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"9d56c4dd-cc5f-4686-a017-2368caed3823","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 6.A - ISESSAH","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-09T15:30:00+00:00","BaseEndDateTime":"2022-08-09T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-09T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T19:30:00.0000000+00:00"},{"Id":"e0d26653-f709-407c-9650-59c5bc9c5f5e","SessionBlockId":"9d56c4dd-cc5f-4686-a017-2368caed3823","Name":"Breakout Session 6.C - Network Analysis","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemiological connectivity in Tanzania through market livestock movements – where, why and how?","PresentationBio":null,"Title":"Dr.","FirstName":"Gemma","LastName":"Chaters","Position":"Analyst","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0698890284a84ad5bf5af4355525ba49","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Livestock markets and value-chains drive livestock movements globally, and are strongly associated with pathogen transmission between populations. This work addresses detailed questions around market movements in Tanzania, evaluating if market data can guide disease surveillance and control programmes in the region.

Materials and methods
Survey data describing distance, duration, mixing, transport, price and reason for sale or purchase of livestock were collected from buyers (N=216) and sellers (N=507) at 22 markets across northern Tanzania. Gaussian and binomial generalised linear mixed models were used to describe cattle and small ruminant markets journeys, and network analyses was used to identify high-risk locations for targeted pathogen surveillance.

Results
Livestock market journeys are up to 500km with cattle moving into northern Tanzania from the south-west and small ruminants moving northwards into Kenya. Journeys are predominantly made on foot, with livestock more likely to contact local livestock en-route. Livestock moved using vehicles are more likely to be grouped with others to share journey costs and reduce duration, but this increases the risk of pathogen transmission between groups. The majority of market sales are to meet household needs (86%), with the most common destination ‘another market’. Cattle sold in secondary markets, close to consumption centres, are more likely to be sold by traders, fetch higher prices and be taken to slaughter.

Conclusion
There is disparity in market access in Tanzania and trade-movements of livestock along the value-chain create epidemiological connectivity, including across the Kenyan border. Market data can be used to identify high-risk locations where targeted pathogen surveillance programmes could be implemented but this work shows a regional approach to livestock disease control is needed due to the frequency of long distance movements between regions.

Key works: Market; Livestock; Network; Transmission; Tanzania
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","33998207-8c57-4717-9114-ccf9182e92bf","0c901ec5-8189-459e-b859-afcfb8a96f9b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gemma Chaters","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The pig transport network analysis to identify the key vehicles involved in diseases transmission in Argentina.","PresentationBio":null,"Title":"Dr.","FirstName":"Laura Valeria","LastName":"Alarcon","Position":"","Organization":"Facultad De Ciencias Veterinarias Unlp","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a92815a61e3542fdb378051639ce21cc","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective. The goal of our study was to characterize the network of pig movements in Argentina during 2020-21 for identification of key movements and vehicles involved in swine transport.
Materials and methods. We collating the electronic transport documents (origin, destination, quantity-category animal, truck license plate) from 2020-2021. The challenge of identifying the riskiest vehicles was solved by network analysis. We built and operated on a directed graphs weighted by the total number of pigs moved among farms (farm-net), and between farms and slaughterhouses (slaughter-net). To find which edges (and vehicles) in each network are most between other pairs of vertices, we calculated the edge-betweenness centrality score and aggregated mean of edge-betweenness for each recorded vehicle.

Results. The movement network of 2020/2021 among farms has 5085 nodes, 33442 movements and 5926 vehicles, while the slaughter net has 4232 nodes, 244735 movements and 19627 vehicles. The edge-betweenness distribution from farms net was highly skewed (minimum:0, maximum:413903, median=1, mean=268.5, standard deviation(SD):5967.04). But the same distribution from slaughter-net was more even and varied from 0 to 7.5 (median:0, mean:0.041, SD:0.229). We find 876 vehicles of swine transport between farms(14.8%) with a betweenness higher than the average, 65 used for slaughterhouses to, and 34(0.6%) higher than the average+1SD. We find 3689 vehicles of swine transport for slaughterhouses(18.79%) with a betweenness higher than the average, 422 used between farms to, and 1713(8.73%) higher than the average+1 SD.

Conclusion. The transmission of diseases among farms through vehicles for animals transporting is one of the most effective routes. Network analysis allowed us to identify key movements and vehicles related to the potential spread of diseases. This would make it possible to design risk-based surveillance and control before an epidemic, in the context of the transboundary spread of African Swine fever.

Keywords: network analysis; surveillance of transport; swine movements
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Laura Valeria Alarcon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Characterising the live pig movement network in Cambodia for epidemiological modelling","PresentationBio":null,"Title":"Mr.","FirstName":"William","LastName":"Leung","Position":"Phd Student","Organization":"London School Of Hygiene And Tropical Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"An understanding of livestock movements is essential for modelling disease dynamics in livestock production systems. However, such data is lacking for pig-production in Cambodia.

Objectives: We sought to characterize the live pig-movement network in Cambodia to inform models of infectious disease transmission among pigs. Our aim was to a) identify the roles of value-chain actors by quantifying key egocentric measures, and b) infer and simulate complete (sociocentric) networks using exponential random graph models (ERGMs).

Methods: We conducted a network survey in four Cambodian provinces. Farms (n=90), smallholders (n=176), pig exchangers (n=84), and slaughterhouses (n=18) were selected through multi-stage cluster sampling, and asked to retrospectively report contacts with whom they had exchanged pigs within a set timeframe (i.e. their ‘egocentric’/‘star-labelled’ networks).

Results: Preliminary descriptive analyses suggest that commercial pig farms traded with a low diversity of value chain actors, yet were strongly connected by pig volume – purchasing and selling a median (IQR) of 1600 (530-3000), and 2500 (1200-4200) pigs in 6 months respectively. Contrastingly, smallholders traded with the greatest diversity of actors, but exchanged the smallest quantities of pigs overall, with 2 (1-4) and 4 (0-11) pigs purchased and sold within 6 months. Trade between producers was strongly assortative with respect to production type (smallholding/commercial); however, infrequent direct trades from farms to smallholders connected these contrasting production types. A range of pig exchanger roles were identified and connected different actors. While pigs were mostly moved locally - median (IQR) of 4.6km (2.6-10.4km), some movements >100km (1% of trades), including across borders, provided routes for long-range disease spread. ERGMs are now fitted to this egocentric network data.

Conclusion: This work has broad relevance to network characterisation and provides important parameters for epidemiological models; a pressing need given the recent incursion of African swine fever into Cambodia.

Keywords: Egocentric-network, swine, Cambodia, ERGM
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","33998207-8c57-4717-9114-ccf9182e92bf","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. William Leung","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"c3195a41-c8b2-4620-97a2-98ee6effa7d4","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-09T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"9d56c4dd-cc5f-4686-a017-2368caed3823","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 6.C - Network Analysis","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-09T15:30:00+00:00","BaseEndDateTime":"2022-08-09T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-09T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T19:30:00.0000000+00:00"},{"Id":"3cf91aab-335f-4e90-aa43-863c1cf33ce0","SessionBlockId":"9d56c4dd-cc5f-4686-a017-2368caed3823","Name":"6_Special Session Part 2: Strengthening Veterinary Epidemiology and One Health Capacity","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":"Chair: Navneet Dhand ","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Developing the Tripartite (FAO/WHO/WOAH) Field Epidemiology One Health Competency Framework ","PresentationBio":"Dr. Marion Muehlen is a consultant at WHO in the Health Emergency Intelligence and Surveillance Systems Division since 2021, supporting applied epidemiology workforce developments. She was born in Brazil, where she studied medicine, and went on to complete an MSc in Tropical Medicine and International Health with a focus on the management and treatment of tropical diseases. During this time, she developed an interest in epidemiology and went on to do the two-year program in intervention epidemiology training at the Robert Koch Institute in Berlin. Upon completion, she was awarded a Marie Skłodowska-Curie fellowship to work with a theoretical epidemiology group on mathematical modelling of infectious disease transmission in Lisbon, Portugal and supported the establishment of a health research center in Angola. In 2008, she became a scientific coordinator of the European Programme in Intervention Epidemiology Training (EPIET), first at the Robert Koch Institute in Germany, then at the Health Protection Agency in the UK, and finally in 2010 at the ECDC in Sweden, where she worked in this position for 10 years. Dr. Muehlen is especially interested in competency-based training programs for applied epidemiology and is a keen supporter of the learning-through-service methodology.

","Title":"Ms.","FirstName":"Marion","LastName":"Muehlen","Position":null,"Organization":"World Health Organization","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Recent epidemics and pandemics have shown the need for a multi-sectoral, interdisciplinary epidemiology workforce with a wide range of competencies. Field epidemiologists play a vital role in surveillance, field investigation, preparedness and response to biothreats. We aimed to define One Health (OH) field epidemiology competencies for the public, animal, and environment health sectors at the frontline, intermediate, and advanced levels.
Methods: A joint tripartite (FAO, WHO, WOAH) working group conducted desktop reviews of existing competencies and curricula of field epidemiology training programs (FETPs) and FETPs for veterinarians (FETPVs) to organize them into thematic areas, domains, and subdomains. The group met weekly for 6 months to further elaborate on the set of competencies for each domain/subdomain. We conducted an online survey among existing FETP(V)s to identify and define current FETP(V) competencies. We then developed a new competency framework defining OH competencies for frontline, intermediate and advanced epidemiologists. Specific competencies for public health, veterinary public health, and environmental health were included. We convened a technical advisory group of 59 international stakeholders and experts, including from the environmental sector, meeting remotely over 2 months to review and validate the proposed competencies, add competencies considered missing, and prioritize the identified competencies.
Results: Competencies were grouped into 14 domains with 76 subdomains. More than 300 field epidemiology competencies were identified at frontline level, an additional 280 at intermediate, and another 324 at advanced levels. The TAG suggested merging two domains (Data Analysis and Bioinformatics) and proposed Ecosystem Health as an additional domain.
Conclusion: Given the important roles of epidemiologists in the field, it is essential to ensure that they receive competency-based training associated with their position. Domains and core competencies identified through this collaborative review will be used to propose a progressive curricular pathway for OH field epidemiology competencies at all three levels.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"15:35:00","EndTime":"15:45:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Marion Muehlen","TimeDisplay":"3:35 PM - 3:45 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Competency Prioritization for the Tripartite (FAO/WHO/WOAH) Field Epidemiology One Health Competency Framework ","PresentationBio":"Dr. Heather Simmons is the Director for the Institute for Infectious Animal Diseases. Dr. Simmons has a Doctor of Veterinary Medicine (DVM) degree and a Masters in Veterinary Public Health in infectious disease epidemiology, both from Texas A&M University (TAMU). She has over 16 years of experience working on infectious diseases for emerging and transboundary animal diseases for capacity development and educational activities targeting youth and professional Veterinary Services. She has developed several certification programs and has helped to deliver IIADs digital education programs in surveillance, epidemiology, risk analysis and executive laboratory management.

","Title":"Dr.","FirstName":"Heather","LastName":"Simmons","Position":"Director","Organization":"Texas A&M University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Simmons H, Alessandrini B, Cargill, J., Castellan D, Budke C, D'albenzio S, Dunkle S, Dissanayake R, Muehlen M, Pinto J, Schenkel K, Zaghloul A

Objective: The Tripartite (FAO/WHO/WOAH) Field Epidemiology One Health Competency Framework is the first global initiative to develop One Health competency guidelines for field epidemiology training programs (FETPs) and FETPs for veterinarians (FETPVs). The objective of one step in the guideline development process was to prioritize competencies (knowledge, skill, and/or ability) identified by tripartite subject matter experts (SMEs) and a global Technical Advisory Group (TAG) for frontline, intermediate, and advanced training levels.

Materials and methods: TAG members prioritized competencies within fourteen identified domains as core or optional for each training level (frontline, intermediate, advanced). Core competencies were considered required. In contrast, a country FETP or FETPV can choose to include an optional competency based on a developed ranking tool utilizing pairwise comparisons.

Results: Core frontline competencies were defined as those that 90% of SMEs considered essential, resulting in 99 core competencies. Intermediate core competencies included all those identified at the frontline level in addition to any additional competencies at the 90% cutoff, resulting in 110 core competencies. The same process was conducted for the advanced training level, resulting in 144 core competencies.

Conclusions: One Health competency prioritization will allow for better comparability between training programs, which may lead to internally recognized certification of these programs. Similar methods can also be used to evaluate and certify continuing education programs.

Keywords: One Health, Field epidemiology, Guidelines, Competency Prioritization
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"15:45:00","EndTime":"15:55:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Heather Simmons","TimeDisplay":"3:45 PM - 3:55 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Ecosystem Health Competencies in the One Health Field Epidemiology Competency Framework","PresentationBio":"Stacie Dunkle is an epidemiologist supporting the Tripartite to build workforce capacity for One Health. Dr. Dunkle believes that strengthening cross-sectoral collaboration is essential for deepening our understanding of zoonotic disease transmission and preventing future epidemics. She has lived and worked in countries across Asia, Africa and the Middle East over the past 15 years with organizations including the Food and Agriculture Organization, the Centers for Disease Control and Prevention, the United States Department of Agriculture and the World Health Organization. She is a veterinarian with masters degrees in geological sciences and public health and is a graduate of the Epidemic Intelligence Service at CDC. She is a diplomat of the America College of Veterinary Preventive Medicine. She currently lives near Geneva, Switzerland where she and her husband are attempting to raise three children while not eating too much cheese.

","Title":"Ms.","FirstName":"Stacie","LastName":"Dunkle","Position":null,"Organization":"World Health Organization","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a83fd82c4a664b0eb32a71b849b83fd2","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: A growing recognition of the role of the environment in health has resulted from increasing anthropogenic impacts on biodiversity, global environmental change, ecosystem integrity and ecosystem function. Barriers to our understanding and management of environmentally driven diseases include a lack of transdisciplinary knowledge, collaboration with the environment sector, communication, and data sharing between health and environmental experts. We defined environment sector competencies required by One Health epidemiologists at the frontline, intermediate, and advanced levels to help address these gaps.

Methods: A technical advisory group (TAG) of international experts was convened to review and validate the One Health field epidemiology competency framework developed by a joint tripartite (FAO, OIE, WHO) working group. The TAG identified significant gaps in the environment sector, particularly in the areas of systems thinking and the linkages between health, biodiversity, ecosystems and the environment. Concurrently, FAO’s Field Training Program for Wildlife, Ecosystems, Biodiversity and the Environment (FTP-WEBE) developed a curriculum matrix through a 50 person expert consultation.

Results: TAG members who have natural resource management and environment expertise recommended two changes to the draft framework: addition of a domain on ecosystem health as well as a subdomain on systems thinking within the foundational knowledge domain. Within the ecosystem domain, five subdomains were defined: (1) biodiversity and ecosystem function, (2) wildlife and ecosystem services, (3) air, water and soil quality, (4) global environmental change, and (5) anthropogenic drivers of disease emergence; many FTP-WEBE competencies were incorporated, as well as those contributed by TAG members.

Conclusion: The addition of systems thinking and ecosystem health competencies to the One Health field epidemiology competency framework will help ensure graduates receive the necessary training for a transdisciplinary approach to addressing current and future health challenges. This work highlights the necessity of including environment experts in One Health capacity building.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"15:55:00","EndTime":"16:05:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Stacie Dunkle","TimeDisplay":"3:55 PM - 4:05 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Challenges and future direction for applied Tripartite One Health Field Epidemiological competencies ","PresentationBio":"Dr. Karl Schenkel MSC, DTMPH
Summary biography
Medical epidemiologist working for the new surveillance systems department of the WHO Emergencies Programme Geneva. My tasks are related to health information management in emergencies, including the development of a global WHO surveillance strategy, developing technical guidance for Early Warning and Response, surveillance systems evaluation and data sharing, and tools for outbreak investigations, and strengthening the health workforce for surveillance and epidemiology.

Together with the Tripartite Organizations, I am coordinating a three year project with the objective to develop multisectoral Tripartite One Health field epidemiology competencies and curriculum guidance at the human-animal-environmental interface.

Further activities in the field of One Health include a Quadripartite One Health Intelligence Scoping study.

Trained as a medical doctor, and after clinical specialization as a GP I conducted a master studies on International Health with a focus on communicable diseases epidemiology and disease control. I have worked as a research fellow in communicable diseases epidemiology at the Robert Koch Institute (RKI), Berlin, Germany, including a 2-year applied field epidemiology training programme and have been joining WHO in 2016.
","Title":"Mr.","FirstName":"Karl","LastName":"Schenkel","Position":"Epidemiologist","Organization":"World Health Organization","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f8fcee02417f4240aeeaed69637bde8f","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Panel Discussion:
Dr Karl Schenkel
World Health Organization (WHO)

Dr Barbara Alessandrini
World Organisation for Animal Health (WOAH)

Dr Marion Muehlen
World Health Organization (WHO)

Dr Heather Simmons
World Organisation for Animal Health (WOAH)

Dr Stacie E. Dunkle
Food and Agriculture Organization of the United Nations (FAO) / World Health Organization (WHO)

Dr Navneet Dhand
Food and Agriculture Organization of the United Nations (FAO) / The University Of Sydney


Objectives: Recent epidemics and pandemics have shown the need for a multi-sectoral, interdisciplinary epidemiology workforce with a wide range of competencies. Field epidemiologists play a vital role in surveillance, field investigation, preparedness and response to biothreats. We aimed to define One Health (OH) field epidemiology (FE) competencies for the public, animal, and environment health sectors at the frontline, intermediate, and advanced levels.

Methods: A joint Tripartite (FAO, OIE, WHO) working group conducted desktop reviews of existing competencies and curricula of field epidemiology training programs (FETPs) and FETPs for veterinarians (FETPVs) to organize them into thematic areas, domains, and subdomains. The group met weekly for 6 months to further elaborate on the set of competencies for each domain/subdomain. We conducted an online survey among existing FETP(V)s to identify and define current FETP(V) competencies. We then developed a competency framework defining OH competencies for frontline, intermediate and advanced epidemiologists. Specific competencies for public health, veterinary public health, and environmental health were included. We convened a technical advisory group of 59 international experts, including from the environmental sector, meeting remotely over 2 months to review and validate and prioritize the proposed competencies, and add competencies considered missing.

Results: Competencies were grouped into 14 domains with 76 subdomains. More than 300 FE competencies were identified at frontline level, an additional 280 at intermediate, and another 324 at advanced levels. The working group proposed Ecosystem Health as an additional, separate domain.

Conclusion: Given the important roles of epidemiologists in the field, it is essential to ensure that they receive competency-based training associated with their position. Domains and core competencies identified through this collaborative review will be used to propose a progressive curricular pathway for OH field epidemiology competencies at all three levels.

Key Words: Field Epidemiology, One Health, Workforce Development, Competency, Training
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Chair: Navneet Dhand ","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-09T15:30:00+00:00","BaseEndDateTime":"2022-08-09T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-09T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T19:30:00.0000000+00:00"},{"Id":"fd060aa9-cb01-4fd4-a88f-87ada9e19561","SessionBlockId":"9d56c4dd-cc5f-4686-a017-2368caed3823","Name":"Breakout Session 6.E - AMR","IsSession":true,"ShowTimes":true,"Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessment of the antimicrobial resistance profile of major mastitis pathogens isolated from bovine milk samples in Ontario, Canada between 2008 and 2017 ","PresentationBio":null,"Title":"Dr.","FirstName":"Kamal","LastName":"Acharya","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"
Passive surveillance data from diagnostic laboratories can be used to improve the understanding of temporal changes in the antimicrobial resistance profiles of mastitis pathogens. The objective of this study was to describe the observed temporal patterns of antimicrobial resistance (AMR) among mastitis pathogens between 2008-2017 in Ontario, Canada


Data on the antimicrobial susceptibility of pathogens isolated from bovine milk samples were retrieved from the database of the Animal Health Laboratory at the University of Guelph in Ontario, Canada. The AMR profile of each of the major mastitis causing bacteria against critically important antimicrobials was aggregated and presented as the proportion of isolates resistant to an antimicrobial. The AMR profile was defined for each bacteria and antimicrobial pair as the proportion of the resistant isolates relative to the total number of isolates tested. The temporal trend of AMR was evaluated by a time series analysis using the generalized linear autoregressive moving average model.



The sample (n = 16,399) included major mastitis pathogens like non-aureus staphylococci (16.2%), Escherichia coli (15.2%), Streptococcus uberis (12.9%), Staphylococcus aureus (9.8%), and Streptococcus dysgalactiae (8.5%). More than half of non-aureus staphylococci and E. coli isolates and more than 90% of Streptococcus uberis, Staphylococcus aureus, and Streptococcus dysgalactiae were susceptible to ampicillin. Likewise, most of the non-aureus staphylococci (84.8%) and E coli isolates (95.99%) were susceptible to ceftiofur. However, 16.7% of E coli isolates, 11.4% of non-aureus staphylococci, 9.8% of Streptococcus uberis, 3.2% of Streptococcus dysgalactiae, and 2.1% of Staphylococcus aureus exhibited multidrug resistance. Furthermore, time series analysis demonstrated an increasing trend in resistance of pathogens against critically important antimicrobials including erythromycin and ampicillin (P = <0.01).



Although the prevalence of antimicrobial resistance in the five major bovine mastitis pathogens was low, an increasing trend of resistance towards critically important antimicrobials needs further examination.


Kerwords:
Surveillance, antimicrobial-resistance, temporal-trend
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Livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) is widespread among livestock, pigs being its main reservoir. LA-MRSA is regarded as a public health risk, but it mainly causes zoonotic infections in people in close contact with pigs. To study the spread of LA-MRSA in a pig herd we have built a stochastic compartment model, which incorporates the environmental accumulation and disease pressure into the model. The model is also aimed to serve as a framework for theoretical testing of intervention strategies against LA-MRSA.

Materials and methods
The model was built using R programming language and the SimInf event-based epidemiological simulation package. The transitions from susceptible to infected state were dependent on the environmental infectious pressure, which was determined by the number of shedding animals and environmental decay rate. The transmission rates used in the model were obtained by fitting the model to observational data by using approximate Bayesian computation.

Results
The results showed that indirect transmission through the environment allowed LA-MRSA to persist in the model herd, similar to field observations and without the need to make assumptions about carrier animals. The results also suggested that stopping mixing of pigs in the finishing unit reduced the LA-MRSA prevalence if the initial LA-MRSA level in the unit was low. In the farrowing unit, changes in cross-fostering practices did not have an effect to the LA-MRSA prevalence.

Conclusion
The presented model is a flexible tool for investigating the spread and possible intervention strategies of LA-MRSA in pig herds. Based on the model simulations, restrictions in pig mixing in the farrowing and finishing unit have very limited effect to the LA-MRSA prevalence.

Keywords: modelling, antimicrobial resistance, pigs, One Health

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Krista Tuominen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Optimizing surveillance of antimicrobial resistance in animals – a geospatial analysis in China","PresentationBio":null,"Title":"Ms.","FirstName":"Cheng","LastName":"Zhao","Position":"","Organization":"ETH Zurich","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f1226233ab2c453ab030b17258684103","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The rise of antimicrobial resistance (AMR) in food animals is a growing threat for animal health, and potentially for human health. China, as the world’s largest user of veterinary antimicrobials could play a pivotal role in leading the international response to AMR, and maps of AMR could help coordinate this response. Here, we used geospatial models to produce maps of AMR in China, and identify regions where future surveillance effort could be targeted in priority.

Materials and methods
We extracted resistance rates from 446 point-prevalence surveys on Escherichia coli, Salmonella, Campylobacter, and Staphylococcus aureus. We mapped the proportion of drugs tested with resistance rates higher than 50%. The uncertainty map associated with these predictions was used to identify locations where surveillance efforts could be intensified in the future. We calculated an index of ‘necessity for additional surveillance’ - the product between uncertainty in AMR level and animal densities- to identify locations where 50 surveys could be conducted such as to minimize uncertainty on future AMR levels in China.

Results
In China, AMR levels were the highest in the east and lowest in the southwest. Regions that would benefit the most from increased surveillance were the southwest (21/50 surveys) and northeast (11/50 surveys) (Figure). Using geographically targeted surveillance could reduce uncertainty of AMR level by 104% compared with an even distribution of surveys across administrative divisions.

Conclusion
Our findings help outline priorities for AMR surveillance in China, and identify where future surveys could best improve the accuracy of AMR maps.
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Methods: A cross-sectional questionnaire survey of 159 smallholder dairy households was conducted in November-December 2020 in areas known to have experienced FMD outbreaks in the previous 12 months. Data on husbandry systems, and production losses and expenditure associated with FMD, were collected. Household profiles were identified using data reduction techniques.

Partial budget models were developed to calculate household-level impact of:
(i)\tan FMD outbreak under current circumstances, including costs expended on vaccination (PBA-1).
(ii)\tan FMD outbreak removing costs associated with vaccination (PBA-2).
(iii)\teffective disease control through a hypothetical “ideal” vaccination campaign (PBA-3).
Impact was calculated as cow-per-year (with median and inter-quartile ranges), where monetary value of an adult cow averaged between $350-$450. Conversion rate used: 1USD=110KSH.

Results: Three household profiles were identified:

Profile-one: Households with 3-8 cattle, utilising zero or private grazing; only 14% earn over half their household income from livestock enterprises. Impact for PBA1 was $99 ($34–$247); for PBA2 was $99 ($32$247); and benefit calculated for PBA3 was $93 ($27–$242).

Profile-two: Households with 3-9 cattle, often utilising semi-zero or private grazing. Dairy operations are commercially-focused. Impact for PBA1 was $72 ($32–$153); for PBA2 was $72 ($32–$152); and benefit calculated for PBA3 was $68 ($28–$148).

Profile-three: Households with 25-87 cattle in low-input semi-extensive grazing systems. Impact calculated for PBA1 was $41 ($13–$116); for PBA2 was $41 ($13–$116); and benefit calculated for PBA3 was $38 ($10–$113).

Conclusion. Profile-two households are most financially dependent on livestock, although they may not incur the largest losses, they are likely most affected by FMD. These profiles can be used to plan targeted FMD-vaccination campaigns that consider both economic benefits and social motivation to participate in disease control.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Polly Compston","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"MAIN FACTORS ASSOCIATED WITH FMDV INTRODUCTION AND INFECTION DURING THE 2001 EPIDEMIC IN URUGUAY ","PresentationBio":null,"Title":"Ms.","FirstName":"María Victoria","LastName":"Iriarte","Position":"Phd Student","Organization":"Wageningen University and Research","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fe4dd6a4fbb941a9b59a24ec589d998d","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In April 2001, a major epidemic affected Uruguay, which had been FMD free without vaccination for the previous 7 years.
The objective of this study was to identify factors associated with the FMDV introduction and spread during this epidemic.
A simple stochastic susceptible-exposed-infectious-removed model was developed to estimate the time of initial infection for each of the affected farms. This estimation was based on the number of animals with clinical signs reported by trained veterinarians attending the outbreaks. These estimated times were then used for further analysis. The association between the infection status of the farm and potential risk factors was assessed using multivariable logistic regression models.
The analyses indicated that between the time of introduction of infection in the country and the first detected infected farm (high-risk period (HRP)), there were probably more than 200 farms already infected. During this HRP, the probability of infection was significantly associated with the following factors: farms that combined livestock with crop production, farm size, the livestock species kept, animal movements, the presence of pigs in the farm, and the distance from farms to main routes. Farm size (farms > 134 animals) and the species kept (cattle farms) remained as risk factors for the entire epidemic, suggesting that these type of farms would need more rigorous biosecurity measures to control future epidemics.
In addition, all of the identified factors associated within the HRP would be useful to prioritize the surveillance system for first detection of FMDV.
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To determine if slaughterhouse workers were a high-risk group for exposure to SARS-CoV-2 infection compared to a cross-sectional sample of people in Kiambu County, Kenya.

Materials and methods
Data collection was conducted between October and December 2021. For the community serosurvey, 70 random sites were selected and a minimum of 10 participants aged over 5 years were recruited from each site. For the slaughterhouse survey a list of the main slaughterhouses was obtained from the county veterinary officers and after sensitisation every willing worker was recruited.

Questionnaire data was collected on personal history and knowledge of SARS-CoV-2. A blood sample was collected from each consenting participant and serum was tested using a commercial anti-SARS-CoV-2 IgG ELISA.

An estimate of the prevalence of antibodies to SARS-CoV-2 in the community and in slaughterhouse workers was calculated. Multivariable logistic regression analysis will be conducted using R statistical software.

Results
A total of 300 households were recruited into the study with 876 participants. Most participants were female (69%). The age of participants ranged from 5 – 96 years with a mean age of 40 years. Antibodies were detected in 570 samples and the seroprevalence estimate was 65.1% (95% CI 61.8-68.1%).

A total of 740 slaughterhouse workers were recruited into the study from 18 slaughterhouses. Most participants were male (76%). The age of participants ranged from 18 – 77 years with a mean age of 42 years. Antibodies were detected in 518 samples and the seroprevalence estimate was 70.0% (95% CI 66.6-73.2%). The proportion of slaughterhouse workers with antibodies to SARS-CoV-2 was significantly greater than the community members (Chi2=4.55, df=1, p=0.033).

Conclusion
The preliminary results suggest that slaughterhouse workers are more exposed to SARS-CoV-2 than other members of the community, however further analysis is being conducted to assess risk factors associated with seropositivity.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7f76020c-d489-4456-9d83-b398a3eb966f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Elizabeth Cook","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk factors for SARS-CoV-2 infection among university students in the northeastern USA","PresentationBio":null,"Title":"Ms.","FirstName":"Casey","LastName":"Cazer","Position":"Assistant Professor","Organization":"Cornell University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The coronavirus disease 2019 (COVID-19) pandemic has resulted in over 407 million cases and 5.7 million deaths globally, as of February 2022. Mitigating disease spread requires a thorough understanding of risk factors for transmission of SARS-CoV-2, the etiologic agent of COVID-19. Institutions of higher education present unique challenges for controlling transmission because of features inherent to these settings. Our objective was to determine risk factors for SARS-CoV-2 infection among a university student population in the northeastern USA during the spring and fall 2021 semesters, using the case-control study design.
Materials and methods: Cases were defined as students with a newly diagnosed SARS-CoV-2 infection, detected either through the robust PCR-based surveillance testing program on campus or through healthcare testing if symptoms compatible with COVID-19 were present. Controls were defined as students with negative SARS-CoV-2 status, based on consistently negative PCR results at the time of selection. A comprehensive questionnaire was administered to each student enrolled in the study, covering a broad range of campus life activities.
Results: A total of 446 cases and 1,185 controls were included. Multivariable logistic regression analysis showed that recent party attendance (OR=2.3, p < 0.0001), recently visiting a bar (OR=1.6, p=0.007), living in a campus residence hall (OR=1.6, p=0.001), fraternity/sorority membership (OR=1.8, p=0.002), and recent travel (OR=1.3, p=0.04) were associated with being a COVID-19 case. Having an on-campus job was negatively associated with being a COVID-19 case (OR=0.6, p=0.0003). Among cases, the most commonly reported symptoms were cough (43.9%), fatigue (38.1%), and sore throat (30.3%).
Conclusion: These findings can be used to inform the development of COVID-19 mitigation strategies and public health outreach efforts in university settings, thus reducing SARS-CoV-2 transmission among students and helping to preserve the vital education and research missions of these institutions.
Keywords: Case-control study, COVID-19, public health, risk factors, SARS-CoV-2
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7f76020c-d489-4456-9d83-b398a3eb966f","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Casey Cazer","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatial and temporal patterns of the blacklegged tick (Ixodes scapularis) and Lyme disease in Ontario, Canada: Making a case for a One Health surveillance approach","PresentationBio":null,"Title":"Mr.","FirstName":"Cyril","LastName":"Akwo","Position":null,"Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":" Evidence suggests a concurrent geographic and temporal increase in the number of blacklegged tick (Ixodes scapularis) in the environment, the incidence of human LD cases, and canine LD seroprevalence across Ontario. The connectedness of humans, canines, and their environment suggests an integrated (One Health) surveillance strategy. The objective of this study was to assess the temporal trend, seasonality, and spatial distribution of the blacklegged tick and Lyme disease in Ontario.

We used active tick, passive tick, and human LD surveillance data and canine serological testing data. Exploratory time-series analyses were applied to the data to detect and describe trends and seasonality. Poisson and Negative Binomial Generalized Linear Autoregressive Moving Average models with annual and semi-annual, sine and cosine harmonic components were fit to the data to confirm and quantify any trend and seasonal effects. Data were mapped to visualize and compare the spatial patterns.

From 2010-2019, 29291 I. scapularis ticks were submitted from passive surveillance, and from 2015-2019, 3067 were from active surveillance. From 2010-2019, 4603 human LD cases were reported, and from 2007-2016, 12677 dogs were LD seropositive. We found an increasing trend in monthly counts of human cases, tick submissions, and canine seropositivity. Marked seasonality was observed. Tick counts from both passive and active surveillance peaked in May and October. Most human cases were reported between May and August with a peak in July. Counts, and incidence of human cases, canine seroprevalence, and rate of tick submissions were highest in Eastern Ontario.

We confirmed similar spatial and temporal aggregation patterns for I. scapularis, human LD cases, and canine seropositivity in Ontario. Thus, a One Health surveillance approach that entails the collection and integration of animal, human, and environmental data will greatly enhance our ability to monitor, prevent, and treat LD and other tick-borne diseases in humans and animals.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","8fc4d524-a96c-44ab-af7e-21be4a6db35f","43b008b2-8eab-460a-b708-b149b223981a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Cyril Akwo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimating the effects of a change in dairy policy on infants’ milk intake in Kenya and Tanzania","PresentationBio":null,"Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/237ad80304a445dfbf4773d8e5455fa9","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Over 70% of consumers in Kenya and Tanzania buy informally marketed unprocessed milk. This milk is preferred as it’s cheaper and sold in volumes matching consumers’ purchasing power. Both countries have formulated policies that restrict the sale of unprocessed milk, favoring the more expensive pasteurized milk. We estimated the potential effects of such policies on household milk allocation to children under 4yrs old.

Methods
We conducted a choice experiment among low-income randomly selected households (n=400) in peri-urban areas in Kenya and Tanzania, that buy unprocessed milk. We asked participants to indicate their best and worst choices among 9 milk allocation scenarios, in response to a hypothetical 40% increase in milk price. The options ranged from adjusting budgets/milk quantities to stopping purchase. We estimated relative importance of each option, grouped the households using latent class analysis(LCA) and characterized each group by socioeconomic factors.

Results
Overall, the preferred option was decreasing the amount of milk purchased and substituting it with cheaper food for children. The less preferred option was stopping milk purchase. LCA classified the households into 3 groups. One group, including mostly households from the highest income tier, preferred increasing their budgets to maintain milk consumption. The second group, with most households in the middle-income tier, preferred decreasing amounts of milk purchased and replacing the shortfall with another food for children. The last group, with most households in the lowest income tier, would decrease purchase and replace with other products for the whole family. Three of top 4 choices involved decreasing milk amounts purchased.

Conclusion
Policies that affect market price of milk could reduce intake of this nutritious product, particularly in low-income households and by children. Consumer responsiveness to prices, preferences, and allocations should be considered by governments when designing market restrictive policies.

Keywords
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Results: We contacted four private schools and a total of 315 students. Some inappropriate practices were found, such as feeding pets with raw or table scraps; not knowing how often pets are vaccinated and dewormed; having oral contact with pets. A low percentage of students had correct knowledge about the symptoms, the route of transmission, and the preventive measures of zoonoses in pets. No association was found between demographic variables, attitudes and practices, and knowledge of zoonoses. After the educational strategy, global knowledge increased; thus, the academic approach was practical, having statistical significance in improving their expertise in recognizing symptoms, route of transmission, and preventive measures (p = 0.00).
Conclusion: The use of the theoretical lecture is effective in understanding the concept of transmission of conditions that can be transmitted from animals to humans, in addition we observed a positive impact, mainly improving on the knowledge related to symptoms, transmission routes, and preventive measures of zoonotic disease in high school students.
Keywords: Cats, dogs, education, zoonoses
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","1431029c-0cdf-4ff9-912e-8fee50ef8438","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Natalia Uribe Corrales","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Economic burden of small ruminants mortality in Ethiopia","PresentationBio":null,"Title":"Mr.","FirstName":"Wudu Temesgen","LastName":"Jemebru","Position":"Researcher","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"This study was conducted to estimate the economic burden from mortality in sheep and goat (small ruminants) production in Ethiopia.

A herd dynamic model was used to simulate national annual production of small ruminants based on inputs of flock composition, demographic, offtake, disease, production, and price parameters. The input parameters were derived from national statistical surveys and literature, and the main inputs were inputted in the form of probability distributions for stochastic simulation. The model was used to simulate two scenarios: in the absence of mortality, and with the existing rate of mortality. The difference in the annual revenue between the two scenarios was considered as annual economic burden of mortality.

The total annual national revenue from small ruminant population under current situation (2021) was estimated at USD 2.1 billion (range1.1 – 2.6 ). From this USD1.8 billion (range 1.1 – 2.6) was derived from primary production outputs such as increased stock value and net live animal offtake, and USD 0.23 billion (range 0.18 – 0.30) was from secondary production outputs such as milk, manure, and skin. If there was no mortality, the annual national revenue derived from the small ruminants would have been 57% higher at USD 3.2 billion (range 2.3 – 4.6), with an estimated economic burden due to mortality of USD 1.4 billion (range 1.0 – 1.8). If the current mortality is reduced by half, the economic loss would be reduced to USD 0.7 billion (range 0.5 – 0.9).

The huge economic loss attributable to mortality in small ruminants raises issues of the need to understand the underlying risk factors and causes of this burden to identify interventions that are financially feasible, socially acceptable and economically justifiable.

Keywords: Economic, Ethiopia, loss, mortality, small ruminants


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","7d91534a-2f2b-447f-830f-6178f301b1a3"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Wudu Temesgen Jemebru","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Role of poultry trade network on the avian influenza A viruses environmental contamination patterns at live bird markets, Dhaka, Bangladesh","PresentationBio":null,"Title":"Mr.","FirstName":"Shovon","LastName":"Chakma","Position":"Phd Candidate","Organization":"The University of Queensland","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b56f17ef23534c4cac7bdd9b60f0aab0","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background: An increased probability of environmental contamination with avian influenza A viruses at live bird markets (LBMs) of Dhaka’s metropolitan presumably linked to the network of poultry movements in Bangladesh.

Objective(s): This study aimed to characterize the Dhaka metropolitan area’s LBM poultry trade network by the source of poultry purchase and quantify the association between the selected market characteristics and year-long avian influenza A viruses (H5 and H9) environmental contamination patterns at the LBMs of Dhaka metropolitan, Bangladesh.

Materials and Methods: We screened the market-level source of poultry purchase data of 108 Dhaka metropolitan area LBMs (collected in Jan-Mar 2016) and summarized the characteristics of the market trade network, such as degree centrality, closeness centrality and betweenness centrality, k-core. We performed univariable multinomial logistic regression to quantify the association between the selected market characteristics and the year-round (Jan-Dec 2016) market level avian influenza A(H5 and H9) environmental contamination patterns.

Results: The poultry trade networks (market-market, market-district, district-district) of Dhaka metropolitan area LBMs are highly connected within Dhaka and widely connected across the country (Figure 1 and 2). The LBM-level avian influenza A(H5) and A(H9) environmental contamination patterns were associated with risk factors such as market type, market location, season, and several estimates of LBM network connectivity.

Conclusion: This study showed the need for routine evaluation of LBM-based avian influenza surveillance by the market-level source of poultry purchase network data to improve avian influenza A viruses detection system for humans and animals population, and contamination in the environment.

Keywords: network analysis, live bird market, avian influenza, environmental contamination, Bangladesh
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Half of broilers in six pens were treated with amoxicillin for five days. On the last day of antibiotic treatment, 5 chicks in each pen were challenged with non-pAMR E. coli, CPE, or ESBL. Cloacal swabs of all animals were collected during 12 days. A Bayesian hierarchical model was used to quantify the environmental transmission of CPE and ESBL.

The transmission of CPE was lower than that of ESBL and non-pAMR E. coli with or without amoxicillin treatment. No difference was found between non-pAMR E. coli and ESBL in the amoxicillin treatment (Figure 1). To our knowledge we are the first to quantify the transmission rate of CPE in broilers and we demonstrated that it is lower than the transmission rate of ESBL. Transmission of both pAMR are not comparable, warranting the need for data on CPE transmission. The use of Bayesian models in the analysis of transmission experiments presents a method for estimation of parameters of more complex transmission models with limited data.

Keywords: transmission experiment, Bayesian hierarchical model, broiler, CPE, ESBL, antibiotic treatment
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b131d59c1c734e919cb24bac3ce94415","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c54f9b9d-8dfb-410e-9187-f32dd54c71fc","0c901ec5-8189-459e-b859-afcfb8a96f9b","5178adf1-eaeb-4d5b-8fce-b18677488f5a","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Natcha Dankittipong","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Time trends in antimicrobial use and minimum inhibitory concentrations for foodborne pathogens in food animal production","PresentationBio":null,"Title":"Mr.","FirstName":"Pankaj","LastName":"Gaonkar","Position":null,"Organization":"Auburn University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ea771e7c8f58429f9689edb32ca0a845","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Antimicrobial resistance (AMR) is a major concern for “One Health”. Injudicious use of antimicrobials contributed to the spread of multidrug-resistant bacteria. The antimicrobial use (AMU) in food animals is projected to increase over time. Thus, it is important to monitor the AMU and their impact on the efficacy of antimicrobials. The objectives of this study were to determine (i) AMU over time in pigs, chickens, and turkey production in Canada and (ii) to examine the utility of minimum inhibitory concentration (MIC) data to characterize temporal trends in AMR to commonly used antibiotics in Salmonella spp., Campylobacter spp., and E. coli in pigs, chickens, and turkey production.

Materials & Methods: Farm-level data were collected by the Canadian Integrated Program for Antimicrobial Resistance. AMU data were collected via questionnaires and AMR was determined using broth microdilution applying the CLSI breakpoint guidelines. This study presents time trends in AMU and AMR from 2006 to 2020. Further statistical analysis will be performed to determine the effect of AMU and management factors on MIC values over time. Results will be presented in the conference.

Results: AMU in pigs, chickens, and turkeys has decreased over the last decade, except that bacitracin use has increased since 2018 in chickens. MICs have either decreased or maintained constant for most antimicrobial classes, except that Salmonella spp. and Campylobacter spp. isolated from chicken farms have increased MIC over time to tetracycline and nalidixic acid, respectively.

Conclusion: Reduction in AMU in production animals mitigates AMR in important pathogens for human and animal health. Further analysis are needed to determine the factors contributing to the changes in MIC values to certain antimicrobials. Continued monitoring of AMU and AMR is necessary to evaluate the effect of measures to reduce antimicrobial use on food production and safety.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Pankaj Gaonkar","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Characterizing predatory publishing: A scoping review","PresentationBio":null,"Title":"Ms.","FirstName":"Ana","LastName":"Oliveira","Position":"Research Fellow","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): Predatory journals are a poorly understood threat to science. The objective of this study was to characterize the phenomenon of predatory publishing, by reviewing primary and secondary research and gray literature on the subject.
Materials and methods: A scoping review was conducted, using a search syntax to identify relevant literature published between 2010 and 2020 in four electronic databases: PubMed, CAB Direct, Scopus, and Web of Science. Initial screening was performed by reviewing the titles and abstracts. Selected articles were downloaded in full when available, reviewed, and information extracted by three reviewers, using a structured template. Qualitative data was summarized in four main themes: definition of predatory publishing, profile of targeted authors, impact of predatory publishing, and available solutions.
Results: In total 113 full articles were included in the review. Predatory publishing affects authors from all countries, although researchers from low- and middle-income countries are most likely to be targeted. Reasons to publish include a lack of awareness of the phenomenon, coupled with the pressure to publish and the easy process that predatory journals offer, very appealing particularly to early career scientists. Predatory publishing has impacts in three main areas: reducing researchers’ credibility, lowering the quality of scientific evidence globally, and affecting the service provided by legitimate journals. Raising awareness of the issue and early identification of predatory journals are important solutions, but must be coupled with technical answers, such as the use of virtual platforms that facilitate practice of due diligence by authors and institutions before manuscript submission. It also requires a joint effort by scientists, editors, and publishers to develop guidance on good practices for the scientific community.
Conclusion: The findings from this synthesis give insights that will be helpful to the scientific community in their efforts to fight predatory publishing.
Key words: predatory journals, publishing ethics","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["cb344d68-5710-46be-a916-dd122f96ab66","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Ana Oliveira","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Analysis of German BSE surveillance data: Estimating prevalence of cases versus number of infected, but non-detected cattle to assess confidence in freedom from infection","PresentationBio":null,"Title":"Mr.","FirstName":"Matthias","LastName":"Greiner","Position":"Head Of Department","Organization":"German Federal Institute for Risk Assessment (BfR) and University of Veterinary Medicine Hannover, Foundation","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a3400e05504042c09ddc5488b2a1b071","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Quantitative risk assessments for Bovine Spongiform Encephalopathy (BSE) necessitate estimates for key parameters such as the prevalence of infection, the probability of absence of infection in defined birth cohorts, and the numbers of BSE-infected, but non-detected cattle entering the food chain.
Material and methods: We estimated three key parameters with adjustment for misclassification using the German BSE surveillance data using a Gompertz model for latent (i.e., unobserved) age-dependent detection probabilities and a Poisson response model for the number of BSE cases for birth cohorts 1999 to 2015. The models were combined in a Bayesian framework.
Results: We estimated the median true BSE prevalence between 3.74 and 0.216 cases per 100,000 animals for the birth cohorts 1990 to 2001 and observed a peak for the 1996 birth cohort with a point estimate of 16.41 cases per 100,000 cattle. For birth cohorts ranging from 2002 to 2013, the estimated median prevalence was below one case per 100,000 heads. The calculated confidence in freedom from disease (design prevalence 1 in 100,000) was above 99.5% for the birth cohorts 2002 to 2006.
Conclusion: In conclusion, BSE surveillance in the healthy slaughtered cattle chain was extremely sensitive at the time, when BSE repeatedly occurred in Germany (2000-2009), because the entry of BSE-infected cattle into the food chain could virtually be prevented by the extensive surveillance program during these years and until 2015 (estimated non-detected cases/100.000 [95% credible interval] in 2000, 2009, and 2015 are 0.64 [0.5,0.8], 0.05 [0.01,0.14], and 0.19 [0.05,0.61], respectively).
Key words: BSE, risk assessment, disease freedom, non-detects, Bayesian model","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2fc99fb692df4e7ca1071cbd69c246ee","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","33998207-8c57-4717-9114-ccf9182e92bf","3c19c60b-bf2c-4701-b93e-3b18208e3913","c54f9b9d-8dfb-410e-9187-f32dd54c71fc","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Matthias Greiner","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Multidrug resistance in Escherichia coli on broilers and cross-breed sonali poultry farms in Bangladesh ","PresentationBio":null,"Title":"Mrs.","FirstName":"Nelima","LastName":"Ibrahim","Position":"Phd Student","Organization":"Ghent University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): Resistant commensal bacteria, Escherichia coli, represent a risk to humans, animals and the environment because they may have resistance genes that can be passed on to human pathogens and vice versa. Therefore, this study aimed to quantify the multidrug resistance of Escherichia coli isolates obtained from poultry feces and environmental samples on broiler and cross-breed sonali farms. In addition, the associations between antimicrobial use (AMU) and antimicrobial resistance (AMR) on the same farm will be explored.

Materials and methods: A total of 725 fecal and 250 environmental samples from 94 conventional broiler and 51 sonali farms in Bangladesh were screened for the presence of E. coli with selective isolation and identification using MALDI-TOF mass spectrometry. We screened all environmental isolates and randomly selected five fecal isolates from each farm and performed antibiotic susceptibility testing with an E. coli EUVSEC sensititre plate. According to the EUCAST epidemiological cut-off values (ECOFFs), susceptibility or resistance to antibiotics was determined.

Results:Multidrug resistance was frequently observed in both farms. The highest percentages of drug resistance in fecal isolates of E. coli were detected in both broilers and sonali, which were ciprofloxacin (98%, 98%), tetracycline (97%, 100%), trimethoprim (95%, 94%) and ampicillin (93%, 92%) respectively. Furthermore, tetracycline (98%, 80%), ciprofloxacin (93%, 83%) and ampicillin (86%, 77%) resistance were identified in environmental isolates of E. coli in broiler and sonali farms, respectively. The outcomes of the association between AMU and AMR are currently being analyzed and will be presented during the congress.

Conclusions:This study found a high level of resistance to the fluoroquinolone antimicrobial class, which is classified as a \"high priority critically important antibiotic\" for both animals and humans. Therefore, to ensure food safety, biosafety in both animals and humans, AMR should be restricted through one health approach.

Key words:Antimicrobial resistance; Fluoroquinolone; Broiler; Sonali
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","e38fdbff-06ce-4925-a92e-8faaaf3278a6","8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Nelima Ibrahim","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing antimicrobial residues and resistant bacteria in dairy milk in India.","PresentationBio":null,"Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Organization":"International Livestock Research Institute, Uppsala University and Swedish University of Agricultural Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":9,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction: Food safety is a great concern in low- and middle-income countries. Milk and milk products are staple foods that are consumed regularly by infants to adults in India and worldwide. However, exposure to antibiotic-resistant bacteria in milk could pose a risk to public health. This project was conducted to understand milk safety, by assessing antibiotic residues and resistant bacteria in the milk from dairy farmers and vendors.
Methods: The 729 milk samples were collected from two Indian states, and analyzed for the presence of food pathogens following standard laboratory procedure. The disc diffusion antibiotic susceptibility testing (ABST) was done to screen resistant bacteria. The resistant isolates by ABST were then studied by Polymerase chain reaction (PCR) genotyping to detect methicillin resistance, extended-spectrum beta-lactamases (ESBL), Metallo-beta-lactamases (MBL), and AmpC beta-lactamase’s (AmpC). Antibiotic residues were assessed using rapid tests, and lateral flow tests.
Results: The isolated gram-positive bacteria were found to be 74% (n=243) Staphylococcus spp. of which only 6% (n=14) harbored methicillin resistance (14 mecA and 2 mecC genes). Among the isolated gram-negative bacteria, 13% (n=43) of the isolates were resistant consisting of E. coli, Klebsiella spp., and Shigella spp. 59 % (n=7) of them were carrying ESBL genes, 60% AmpC (n=26), 14% MBL (n=6), 7% MBL+AmpC (n=3) and 2% ESBL+ AmpC (n=1). Antibiotic residues detected included beta-lactam, chloramphenicol, quinolone, tetracycline, oxytetracycline, sulfa drugs, streptomycin, and macrolides.
Conclusion: The collected milk sample was found to be contaminated with 6% methicillin-resistant Staphylococcus spp. and 13% with E. coli, Klebsiella spp., and Shigella spp with ESBL, MBL, and AmpC resistance. On the other hand, the existence of antibiotic residues beyond MRL along with pathogenic bacteria with a signature of resistance genes in farm animals as reservoirs and their dissemination through the food chain poses a public health threat.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","0c879798-e821-4cff-bf7e-791d4b78ec7f","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Johanna Lindahl","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial use in a peri-urban smallholder poultry system, Kenya ","PresentationBio":null,"Title":"Ms.","FirstName":"Florence","LastName":"Mutua","Position":"Scientist","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":10,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): Analyze distribution and current usage of veterinary drugs in peri-urban smallholder poultry systems, Kenya
Materials and methods: Machakos and Kajiado counties were purposively selected for the study. A baseline survey involving poultry farmers was conducted. Additional data were collected through key informant interviews (KII). The questionnaire data were electronically captured using open data kit, downloaded as a MS Excel® file, and cleaned. The data were analyzed using both descriptive and thematic approaches.
Results: A total of 100 farmers were interviewed. Majority (58%) were >50 years old and kept chicken (100%), ducks (17%) and turkeys (16%). Methods for drug package disposal included burning (65%), burying (10%), and in pit latrines (9%). Sharing of same drugs across livestock species was reported (11 of the 66 farmers who kept other livestock). A small percentage (9%) mentioned using drugs intended for humans in animal treatment. Antibiotics constituted 47% of the total drug records used by farmers (n=347); 24% were used within the previous one month (24%) and had been administered by farmers themselves (90%). Challenges associated with the distribution, access and disposal of veterinary products were highlighted by KII respondents.
Conclusion: Non-prudent use of antimicrobials is a driver for development of antimicrobial resistance (AMR) which has serious public health implications. This project is developing an ICT framework to improve AMU monitoring and address the current information gap on AMR.

Key words: Antimicrobial use; Antimicrobial resistance; smallholder poultry systems ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Florence Mutua","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bhutan’s One Health Approach to COVID-19 Pandemic Response: A Beacon of Success","PresentationBio":null,"Title":"Dr.","FirstName":"Sithar","LastName":"Dorjee","Position":"Director Epidemiology","Organization":"Khesar Gyalpo University of Medical Sciences of Bhutan","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b6b66755f4d0499498a91238a32fc9e2","IsPresentingAuthor":false,"Order":11,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"COVID-19 pandemic has caused catastrophic disaster in terms of lives and livelihood across the world in 2020-2021. Bhutan, a tiny landlocked Himalayan nation also experienced multiple imported and community outbreaks but managed to achieve its elimination and zero community transmission policy as of 1st December 2021. In addition, Bhutan policy’s towards COVID-19 pandemic was saving live over livelihood until the population was vaccinated.
Bhutan is a resource poor nation and severely constraint health human resource. For instance, there is only one intensivist in the whole nation. In addition, the ministry of health has only few epidemiologists and laboratory experts to manage such a large scale COVID-19 pandemic.
Recognizing these limitations, Bhutan acted early and taken conservative approach towards COVID-19 pandemic response. As of 1st December 2021, Bhutan has lost three lives to COVID-19 but all three test positive to COVID-19 at their terminal stages of other diseases.
One Health has been institutionalized and functional in Bhutan with good professional network interacting regularly to address zoonotic diseases including AMR. As COVID-19 pandemic unfolded, Bhutan has mobilized veterinary epidemiologists to form Technical Advisory Group, laboratory experts from animal health and food sectors to support establishment of COVID-19 testing PCR laboratories at strategic locations, and cope up with surge of COVID-19 samples during community outbreaks, and decontamination experts from the biosecurity authority who were previously trained in decontamination for H5N1 outbreaks. All these strategies with strong political leadership of His Majesty the King of Bhutan, personally leading and overseeing the implementation of COVID-19 prevention and containment measures have led to exemplary and successful management of COVID-19 pandemic in Bhutan, with only <1500 community cases and three deaths. This presentation will share Bhutan’s key whole-of-society strategies including rapid vaccination strategy that were instrumental for its successful pandemic response.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7f76020c-d489-4456-9d83-b398a3eb966f","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Sithar Dorjee","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial use patterns and resistance on the poultry farms in Wakiso district, Uganda ","PresentationBio":null,"Title":"Ms.","FirstName":"Irene","LastName":"Mbatidde","Position":null,"Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":12,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective:
A cross sectional study was carried out to 1) describe the antimicrobial use patterns among poultry farmers in Wakiso 2) establish resistant profiles of Salmonella, E. coli and Enterococci among poultry farms in Wakiso.
Methods:
A cross sectional study in Wakiso district was carried out in October and November 2021 for a period of 6 weeks. A semi structured questionnaire was used to collect data on antimicrobial use on the farms. Boot sock sampling was used to collect samples from the whole poultry house. A composite sample of faecal material was also collected from the poultry house.
The information on antimicrobial use is being analyzed for descriptive statistics. The faecal samples were cultured in the laboratory for Isolation of Salmonella, E. coli and Enterococci. The Isolates will further be tested to establish their resistant profiles. The composite sample was used to quantify resistant coliforms against cefotaxime and colistin
Results:
A total of 200 poultry farms in Wakiso were visited, 211 boot sock samples and 211 composite samples were collected. 29.85% of the respondents were male while 70.15% were female.37.38% had attained secondary level of education. There was observed widespread use of antimicrobials on the farms for treatment of different conditions as well as prevention of disease. The most used groups of antibiotics were, Penicillins, Tetracyclines and Aminoglycosides while Sulphonamides were the least used. From the laboratory analysis, out of the 211 samples collected, Salmonella was isolated at a rate of 8.5%, E. coli at 77.3% and Enterococcus at 62.6%. Resistant coliforms to cefotaxime (5I.7%) and colistin (45.5%) were also identified.
Conclusion:
There are indications of resistant coliforms among poultry farms in Wakiso. This is attributed to the observed continuous use of antibiotics on the poultry farms. There is need to improve antimicrobial use among farmers. Proper diagnosis of conditions is one possible way that will reduce the use of different antibiotics at farm level.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","e38fdbff-06ce-4925-a92e-8faaaf3278a6","43f42602-f380-4a8a-9da3-ce05b383dc09","6d2507a9-e756-4ab4-ae03-e679e391c7e6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Irene Mbatidde","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluation of the Effect of Heat on Oxytetracycline Residues in Poultry meat in Abuja, Nigeria","PresentationBio":null,"Title":"Mr.","FirstName":"Simon","LastName":"Enem","Position":"Professor","Organization":"University of Abuja","PhotoUrl":null,"IsPresentingAuthor":false,"Order":14,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Evaluation of the Effect of Heat (Cooking) on Oxytetracycline Residues in Poultry Meat inAbuja, NigeriaObjectivesThe aim of this study is to detect the level of oxytetracycline in poultry meat and also the effectof heat on the drug residue on poultry meat in Abuja Nigeria. Materials and MethodsThe study was carried out in Abuja, Nigeria. A total of 160 meat sample was obtained in sixselected markets in the Federal capital Territory. Premi test was used to screen the samples andHigh Performance Liquid Chromatography (HPLC) to quantify the level of antibiotics. Amultistage epidemiological study technique was employed in this study. The study area wasdivided into two strata; City center and Satellite towns with 3 markets selected randomly fromthese strata. ResultThe thigh and breast meat samples screened using the premi test showed that 53 (62.4%) of thechicken thigh and 38 (50.7%) of chicken breast sampled were positive for antibiotic residues. Forthe unheated (raw) samples, the thigh muscles had a lower mean (28.49±2.96 ug/ml) than that ofthe breast muscles which was (34.15± 5.64 ug/ml). However, heated samples of these meattissues showed a slight difference in the mean value of oxytetracycline residues with the breastmuscles having a value of (24.27 ±4.91ug/ml) and the thigh muscle (22.87 ±2.12ug/ml). ConclusionThe findings indicated that commercial poultry meat consumers in Abuja metropolis are beingexposed to a reasonably high levels of Oxytetracycline residues in meats and routine cooking isinadequate in deactivating this antibiotic. This could also reduce the effectiveness and efficacy ofantibiotics. There is need for public enlightenment campaigns and regulation of antibiotic use.
Key words: Evaluation, Heat, Oxytetracycline residues, Poultry meat","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Simon Enem","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A Survey to Assess Food Safety Knowledge and Habits among Selected Categories of Population in Abruzzo Region (Italy)","PresentationBio":null,"Title":"Dr.","FirstName":"Gianluca Ciro","LastName":"Telera","Position":"Researcher","Organization":"Istituto Zooprofilattico Sperimentale Abruzzo E Molise G.Caporale","PhotoUrl":null,"IsPresentingAuthor":false,"Order":15,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"This study evaluates knowledge about food safety background and eating habits of high school students, teachers and parents in Chieti and Pescara Provinces of Abruzzo Region (Italy).

From March to June 2021, we conducted an online survey structured in sections including knowledge about food safety, food storage modalities, habits in food handling, with attention to Salmonella spp. associated risks.

Students represented the 60.5% of respondents (290), followed by teachers (27.1%) and parents (12.4%). Female (76.6%) living in large urban centers was the most represented category. Risk perception associated with microorganism in food is variable among categories. Students (71.7%) indicated microorganisms as a food risk, while environmental pollutants were the greatest problem for the 20.2% of participants. Among teachers, results showed that only the 38.0% considered microorganisms as a food associated risk. Regarding food handling and with attention to Salmonella spp., an interesting result was obtained when we asked if chicken should be washed before cooking. Only a little percentage of participants (14.1%) was conscious that it is an avoiding practice due to the high risk of cross-contamination of cooking surfaces with bacteria as Salmonella spp. About habits and behaviors, parents and teachers declared to prepare food by themselves in the 70.3% of cases. This percentage was lower among students (47.7%). An adequate knowledge about cooking practices was showed by 84.0% of participants. Participants who declared to eat out only once in a month were 45.8%. Meals prepared in a restaurant were retained less safe than home-cooked ones in the 33.4% of cases.

We highlighted lack of knowledge in food safety relating to particular aspects as food handling and storage. On the basis of these results we will be able to improve food education programs using social media and adapting educative strategies to the background of learners.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["07442f92-20d6-40eb-b297-c4897bc5781e","e38fdbff-06ce-4925-a92e-8faaaf3278a6","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gianluca Ciro Telera","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Food safety and hygiene in urban chicken slaughter-slabs and street restaurants in Ouagadougou, Burkina Faso","PresentationBio":null,"Title":"Mr.","FirstName":"Biruk","LastName":"Gemeda","Position":null,"Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6a84890a225d4dc2b45a3b18771c188c","IsPresentingAuthor":false,"Order":16,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
This study aimed to describe value chains (VCs) and food safety practices in chicken VCs supplying urban informal markets with view to identifying targeted interventions to improve food safety.
Material and Methods
VC assessment and mapping of live poultry markets, slaughter slabs and carcass sale outlets were conducted to understand and identify risky practices, followed by a cross-sectional survey of 155 slaughter slabs and 100 chicken street restaurants to quantify food safety knowledge, attitudes and practices.
Results
The majority of slaughterhouse and restaurant workers did not receive prior food safety training and food safety inspections were not conducted by the authorities in half of the restaurants visited.
Most performed slaughter on bare earth floors, without proper washing of surfaces, hands or equipment, with repeated use of the same dirty carcass wash waster, and unhygienic removal of slaughter waste material. 20% of restaurants had an inadequate supply of quality of water. In half the slaughter slabs (49%) plucking and evisceration were done at the same place facilitating cross-contamination of carcasses. Carcasses were kept in a container at ambient temperatures (20-35˚C) for 3 hours, and often then transported facilitating cross-contamination. Most restaurants do not control flies, which were widely present on carcasses, reflecting the low standards of hygiene.
Conclusion
The findings reflect the near absence of hygiene standards at the chicken slaughterhouse premises posing massive risks to public health. In street restaurants, although meat was typically well-cooked, which is critical especially as hygiene during preparation is poor. However, opportunities for cross-contamination were high with 30% of dishes being served with uncooked salad compounded by inadequate washing, water and refrigerated food storage. The study identified knowledge gaps, barriers, and poor practices that will lead to widespread pathogen contamination of foods and food preparation environments.
Keywords: Chicken, microbiological safety, Hygiene, Value chain
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Biruk Gemeda","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bowls Are Boring: Investigating the use of Enrichment Feeding for Pet Dogs and the Associated Perceived Benefits and Challenges","PresentationBio":null,"Title":"Miss","FirstName":"Imogen","LastName":"Lloyd","Position":"","Organization":"University of Liverpool","PhotoUrl":null,"IsPresentingAuthor":false,"Order":17,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Canine; Enrichment; Feeding method

Objectives
The aim of this study was to investigate demographics of owners and dogs that use canine enrichment feeding (CEF) and the perceived benefits and barriers to its use.

Method
An online questionnaire was advertised on social media in July-August 2021, 1750 international responses were analysed. Data collected included; owner and dog demographics, feeding methods and reasons, body condition score (BCS). Multivariable logistic regression was used to determine factors associated with not using CEF. Chi square tests were used to examine associations between CEF use and owner-reported satiety and begging. Univariable binary logistic regression was used to examine associations between CEF type and BCS.

Results
Kongs, chews and activity toys were most commonly used. Owners that did not use CEF were more likely to be: male (OR=1.25, p=0.03); over 50 years old compared to 18-30 (OR=2.91, p=0.01). Dogs that did not receive CEF were more likely to: be aged ≥7 compared to ≤3 years (OR=2.87, p=<0.001); have exercise needs <30mins compared to between 30mins-1hour (OR=3.08, p=0.01). Perceived benefits of CEF, included: providing mental stimulation; reducing anxiety; and improving problem behaviours. Certain enrichment types (Kongs, snuffle mats, Lickimats, puzzle feeders, scatter feeding and scent games) were associated with reduced owner-perceived hunger and begging. Dogs fed using a slow feeder were five times more likely to be ideal BCS compared to those that never used a slow feeder (OR=5.25, p=0.005).

Conclusion
CEF may help managing dog weight through reducing owner-perceived hunger and begging which are linked to poorer compliance with food restriction. Findings also show that owners perceive CEF can improve behavioural problems. Further research using experimental designs would be beneficial to establish causal relationships. Owners that are male, older, or own older dogs or with lower exercise needs may particularly benefit from encouragement to use CEF.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["cb344d68-5710-46be-a916-dd122f96ab66","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Imogen Lloyd","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk of diffusion of Japanese encephalitis virus following its introduction in Reunion Island","PresentationBio":null,"Title":"Dr.","FirstName":"Helena","LastName":"Ladreyt","Position":"","Organization":"CIRAD","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/716a3d47566d43eb85764bd474c7fc57","IsPresentingAuthor":false,"Order":18,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Japanese encephalitis virus (JEV) is a vector-borne zoonotic virus and leading cause of human acute encephalitis in Asia. Some vector-borne diseases have been introduced to Reunion island located in the Indian Ocean, and have posed or are posing serious public health problems such as Dengue or Chikungunya. The numerous commercial and human exchanges between Southeast Asia and Reunion raise concerns about the introduction of JEV on the island where known vectors of JEV and amplifying hosts such as pigs are present.
We used a deterministic compartmental model, developed in Cambodia (where JE is endemic) and adapted to Reunion context in order to investigate whether multi-host systems, composed of pigs, poultry, and non-competent hosts as human, dogs and cattle, would allow a local circulation of JEV (based on R0 calculations) if introduced. Field and literature data were collected to adapt model parameters to the specific context of Reunion, including vector (estimated from mosquito trapping data) and host population sizes in areas of 1km radius (average flight distance of a Culex spp.) around pig farms. As the comparison between trapping data from Cambodia and La Reunion showed discordant effects of the type of trap, we studied 4 scenarios according to the trap type and to the season. For each scenario, R0 value was used to identify the areas most at risk for JEV circulation if introduced.
The calculated R0s were low in all scenarios, but was > 1 in 12 areas in 2 scenarios. Regardless of the scenario, the ranks of the areas according to R0 value did not change: ranks thus allowed identifying the most at-risk areas, one of which was located a few kilometers from the large port area of Reunion, which could be a gateway for JEV-infected vectors (Figure 1).","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b8486d203aa840848d5c7b5bf8d3f5cd","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","5178adf1-eaeb-4d5b-8fce-b18677488f5a","43b008b2-8eab-460a-b708-b149b223981a","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Helena Ladreyt","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Challenges of engaging actors via a co-design process: the case of PREZODE (preventing zoonotic disease emergence) international initiative","PresentationBio":null,"Title":"Dr.","FirstName":"Helena","LastName":"Ladreyt","Position":"","Organization":"CIRAD","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/716a3d47566d43eb85764bd474c7fc57","IsPresentingAuthor":false,"Order":19,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"PREZODE aims to catalyze joint actions to improve surveillance, risk mitigation and early warning systems for zoonoses emergence, adapted to local socio-economic contexts. An ambition of PREZODE is to be co-designed with all relevant stakeholders, between all health sectors, researchers, field operators, decision-makers - from local to international levels. This co-design process will allow to define the generic scientific and operational framework of the initiative and the specific modalities of its implementation in each region to prevent zoonotic disease emergence.
Regional workshops following a standardized participatory method were implemented to 1) define a common vision of the initiative, its main objectives, expected impacts and obstacles; 2) identify the relevant actors and the changes in practices needed and 3) identify the activities to be implemented to promote such changes. The data generated from the workshops were literally transcribed and analyzed, accounting for participation and representativeness biases.
In 2021, workshops were carried out in nine regions of Africa, Asia, America and Europe, gathering more than 1000 contributors, from research (59%), policy (27%), operational (8%) and private sectors (6%). The PREZODE common vision was expressed as “a world without pandemics, where food safety, environmental protection, zoonoses emergence surveillance is ensured by considering inclusion of communities in a local to global approach”. Main obstacles to reaching this vision including lack of intersectorality, political and socio-cultural issues, cut across several regions. Explanations were also common to several main obstacles, such as the lack of bottom-up approaches and community inclusion, which therefore seem appropriate to work on in order to unblock sets of main obstacles.
Results will allow identifying operational actions and research questions to develop PREZODE scientific strategic agenda, which will be validated by workshops participants, and will allow defining relevant activities to implement in the next 30 years to prevent zoonoses emergence risks.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","8fc4d524-a96c-44ab-af7e-21be4a6db35f","1304e690-d6da-410b-9c6d-a8c1adf431e9","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Helena Ladreyt","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk Factors for Positivity to Shiga Toxin-Producing Escherichia coli and Salmonella enterica in Backyard Production Systems Animals from central Chile: A Threat to Public Health?","PresentationBio":null,"Title":"Dr.","FirstName":"Raul","LastName":"Alegria-Moran","Position":"Associate professor","Organization":"Universidad Santo Tomas","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/98dfa3e0afa647a880ac228dfbc87f0d","IsPresentingAuthor":false,"Order":20,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The aim of this study was to determine risk factors for positivity to S. enterica and STEC in BPS animals from Metropolitana region, Chile.

Material and methods: In each BPS, an epidemiological survey was undertaken, and stool samples were collected to detect these pathogens via bacteriological culture and conventional PCR techniques. Subsequently, multivariable logistic regression models were applied to establish the risk factors associated with their presence.

Results: A total of 85 BPS were sampled (712 animal sampled) in the Metropolitana region. When broken down at the province level, a total of 34 BPS were sampled in Melipilla, 13 in Chacabuco, 10 in Santiago, 5 in Cordillera, 7 in Talagante and 16 in Maipo. BPS positivity rates of 11.76% for STEC and 4.7% for S. enterica were observed. The systems showed poor welfare standards and a lack of biosecurity measures. The risk factor analysis concluded that the Gini–Simpson index (p = 0.030; OR = 1.717) and the presence of neighboring intensive poultry or swine production systems (p = 0.019; OR = 20.645) act as factors that increased the risk of positivity with respect to STEC. In the case of S. enterica, exchanging embryonated eggs (p = 0.021; OR = 39) and the presence of debeaked chickens (p = 0.001; OR = 156) were determined as factors that increased the risk of positivity for this agent. For positivity with respect to both pathogens, the Gini-Simpson index (p = 0.030; OR = 1.544) and being INDAP/PRODESAL users (p = 0.023; OR = 15.026) were determined as factors that increased the risk, whereas the type of confinement (p = 0.002; OR = 0.019) decreased it.

Conclusion: Epidemiological surveillance of these neglected populations is lacking, highlighting the fact that STEC and S. enterica maintenance on BPS represents a potential threat to public health.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","1431029c-0cdf-4ff9-912e-8fee50ef8438","8fc4d524-a96c-44ab-af7e-21be4a6db35f","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Raul Alegria-Moran","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk factors for the spread of African Swine Fever in China:\r\nA Systematic Review of Chinese-language literature","PresentationBio":null,"Title":"Prof.","FirstName":"Michael","LastName":"Ward","Position":"Chair, Veterinary Public Health","Organization":"Sydney School of Veterinary Science","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/80277f5d9d15439aa3fa97709092ff20","IsPresentingAuthor":false,"Order":21,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The purpose of this systematic review was to identify the potential knowledge gap in the English literature on the spread and risk factors for ASF in outbreaks that occurred in China, 2018-2020.

Materials and methods
China National Knowledge Infrastructure (CNKI) was searched as the primary database. Sixty-four records were screened, and 31 (48%) records were included in data extraction. These records were also assessed for quality of evidence. Frequency tables for stated modes of transmission and reported risk factors were created, considering quality of evidence. A narrative summary of mortality rate and case fatality rate reported in a small number of records was made.

Results
Mortality rate was reported in seven studies, ranging from 3.7% to 84.0% (median 11.9%). Case fatality rate was reported in six studies, ranging from 20.6% to 100% (median 63.3%). Based on reviewed reports, vehicle and live pig transport were the most likely mode of transmission contributing to the ASF epidemic in China, whereas low biosecurity and swill feeding were the two most important risk factors. In the 24 studies that reported the mode of transmission, the tick-domestic pig transmission route was stated in nine and the wild pig-domestic pig transmission route was reported in seven. However, limited evidence was provided to support the tick-domestic pig or wild pigdomestic pig transmission routes. Lack of resources in disease control was mentioned five times in the 22 studies that reported risk factors, especially in remote rural areas.

Conclusion
To effectively control the spread of ASF it is very important to reduce mechanical dissemination of ASFV by vehicles involved in the production cycle and to ensure that transported pigs are always subject to inspection and quarantine. Additionally, strict implementation of prohibition of swill feeding can greatly contribute to disease prevention.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Michael Ward","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using Bayesian Network models to understand Australian livestock producers’ vulnerability to foot and mouth disease\r\n","PresentationBio":null,"Title":"Dr.","FirstName":"Jennifer","LastName":"Manyweathers","Position":"Senior Lecturer In Epidemiology And Ruminant Health","Organization":"Charles Sturt University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6b69e1117b3d44e588437d71e2b5d9ff","IsPresentingAuthor":false,"Order":22,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords (5): Bayesian Networks, FMD, Australian livestock producers, risk-based surveillance, vulnerability

Objectives
An increasing risk of emergency animal disease (EAD) incursions in Australia, within the context of stretched jurisdictional resources, highlights the need for improved understanding of stakeholders’ animal health and disease management decisions and practices. The aim of this study was to develop a Bayesian Network (BN) predictive model to understand industry, jurisdictional and individual EAD vulnerability, and to identify vulnerability-based typologies to complement existing risk-based approaches to resource allocation in the current EAD surveillance system.
Materials and methods
A vulnerability framework, which considered producers’ risk of exposure plus response capacity (their willingness and ability to observe, detect and report unusual signs of disease), was used to design a cross-sectional questionnaire, using foot and mouth disease (FMD) as a model. Data from across Australian FMD-susceptible industries were collected from livestock producers, describing key demographic descriptors and current beliefs and practices around animal disease surveillance. Using questionnaire data, BN models were developed to assess and predict EAD vulnerability of the Australian sheep, beef and goat industries.
Results
The BN models were used to create typologies of producers based on the level of their vulnerability to EAD. Three groups of producers were identified involving a mixture of high, moderate and low producer exposure and response capacity. The typologies identified producer demographics and biosecurity practices that contributed significantly to their vulnerability.

Conclusion
The BN models were used to consider how stakeholder demographics, practices and beliefs may interact and impact FMD vulnerability. The typology findings illustrate that a one-size-fits-all approach to EAD preparedness will not be effective, with more context driven approaches needed. This study identifies the potential of BN models to develop more nuanced information for producers, industry and policy development to support risk-based surveillance approaches for EAD preparedness in Australia.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c54f9b9d-8dfb-410e-9187-f32dd54c71fc","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jennifer Manyweathers","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A longitudinal mixed-methods analysis of self-efficacy, emotional intelligence, and resilience in veterinary students transitioning into the veterinary profession","PresentationBio":null,"Title":"Dr.","FirstName":"Tipsarp","LastName":"Kittisiam","Position":"PhD Student","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":23,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Mental distress is a reported concern among veterinarians and veterinary students alike. The first five years post-graduation (i.e. the “transition period”) can be a period of particular unease, and experiences during this time can affect veterinarians’ decisions to remain in the profession. Current knowledge regarding the challenges, perceived needs, and mental health of early-career veterinarians during the transition period is limited. Further, recent research in veterinarian mental health is pivoting towards positive psychology and the protective effects against stress. High levels of emotional intelligence (one’s proficiency in perceiving and regulating emotions), self-efficacy (one’s belief in one’s ability), and resilience (one’s ability to recover from adversity) have the potential enhance personal well-being and decrease known issues with career attrition.
This study uses a concurrent mixed-methods approach. We will conduct a longitudinal survey using validated scales to measure positive mental health factors, such as resilience, emotional intelligence, and self-efficacy amongst final-year veterinary students from Canadian veterinary colleges and re-administer the survey at 6, 12, and 24 months after graduation. Individual interviews and focus groups will also be conducted with early-career veterinarians during their transition period to collect data on participants’ experiences, mental health, and perceived well-being needs. With that knowledge as a basis, we will then use additional focus groups within a Participatory Action Research framework to explore and develop potential mental health intervention strategies.
This research aims to address the gaps in knowledge needed to assess early career veterinarians’ mental health during the transition period and formulate interventions to mitigate any adverse effects and promote well-being. This study will also contribute to our limited collective knowledge of positive mental health factors in veterinarians with the intention of developing interventions to reinforce them. By improving the well-being of veterinarians we hope to strengthen the veterinary profession overall.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","1431029c-0cdf-4ff9-912e-8fee50ef8438","cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Tipsarp Kittisiam","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Systematic review and meta-analysis of blaCTX-M-15 and blaCMY-2 in Enterobacteriaceae across one health interface in United States","PresentationBio":null,"Title":"Dr.","FirstName":"Babafela","LastName":"Awosile","Position":"Assistant Professor","Organization":"Texas Tech University School of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/650c2b1f531d457e8fb24797fc72bbdf","IsPresentingAuthor":false,"Order":25,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: This study aimed to review the distribution of blaCTX-M-15 and blaCMY-2 beta-lactamase genes in Enterobacteriaceae in the United States and to determine the proportion estimates of these resistance genes.
Materials and Methods: A literature search for eligible articles was done through PubMed, Google Scholars, and internal university electronic databases. Pooled proportions of the resistance genes in Enterobacteriaceae were done using random effect meta-analysis.
Results: Fifty-three studies conducted in United States and published between 1996 and 2020 were included in this review. These articles include studies conducted mostly on Escherichia coli, Salmonella spp., and Klebsiella spp. Both blaCTX-M-15 and blaCMY-2 genes were detected in Enterobacteriaceae from human, food producing animals, dog/cat, and environment. While ST131 was the most reported E. coli sequence type associated with blaCTX-M-15, IncF and Incl1/2 plasmids were commonly reported to be associated with blaCTX-M-15 and blaCMY-2 in E. coli respectively. Based on 25 studies, the overall pooled proportion of blaCTX-M-15 producing E. coli in human data was 22.8% (95%CI: 9.5-45.3), 9.2% (95%CI: 2.9-25.6) for the animal, and 2.9% (95%CI: 0.4-18.1) for the environment. Based on 7 studies, the overall pooled proportion of blaCTX-M-15 producing Klebsiella spp. in human was 21.2% (95%CI: 6.1-52.5). Based on 29 studies, the overall pooled proportion of blaCMY-2 producing E. coli in human was 3.5% (95%CI: 0.3-3.31), 56.2% (95%CI: 34.7-75.5) for the animal, and 2.3% (95%CI: 0.6-8.8) for the environment. Based on 10 studies, the overall pooled proportion of blaCMY-2 producing Salmonella spp. in human data was 1.0% (95%CI: 0.1-1.0), 71.3% (95%CI: 15.7-97.1) for the animal, and 7.7% (95% CI: 2.9-18.8) for the environment.
Conclusion: This study has provided information on the distribution of important beta-lactamase genes in the United States. This is necessary for better understanding of one health and molecular epidemiology of these genes both in United States and globally.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Babafela Awosile","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Understanding opportunities for improving biosecurity communication to livestock smallholders in Australia","PresentationBio":null,"Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Organization":"Charles Sturt University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7779f4452f134313bf967a7fcb071c09","IsPresentingAuthor":false,"Order":26,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Small-scale producers are perceived to pose a high biosecurity risk for livestock disease outbreaks. The potential to early detect an introduced disease across Australia is highly dependent upon smallholder actions; with smallholdings being common and increasing. Reaching smallholders with biosecurity requirements and training is crucial, with research indicating that many within this group have limited farming knowledge and skills. Improved extension and communication networks would increase producers’ active engagement with their livestock industry; potentially decreasing the risk of disease. This study aimed to inform options for the design of a national network of smallholder groups.

Materials and methods: Using a mixed method approach, involving interviews with key stakeholder organisations and an online cross-sectional study among smallholders, current smallholder farming groups and networks in Australia, the distribution of smallholders, the current level of smallholder participation in existing groups and key features of successful groups were investigated.

Results: Interviews were completed with twelve smallholder networks, and 251 smallholders participated in the cross-sectional study. Findings highlight that there is no national network of support for smallholders. Whilst there are some groups providing support to smallholders, an opportunity exists for expansion of geographic coverage and scope to include biosecurity. Furthermore, most smallholders (87.9%) would be interested in membership if a new network was established in their area. Key requirements for the ongoing success of groups are a business case for funding and a scope beyond biosecurity and animal health, including livestock production matters.

Conclusion: This study suggest that a collaborative approach and coordination is needed at a national or state level, working together with the regions and existing networks and including government and industry bodies, to develop a cohesive support system for smallholders to improve their awareness of and engagement with biosecurity.

Keywords: Smallholder, biosecurity, networks, engagement
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Marta Hernandez-Jover","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Predictors of multidrug and methicillin resistance among staphylococci isolated from canine clinical specimens","PresentationBio":null,"Title":"Dr.","FirstName":"Jennifer","LastName":"Lord","Position":"","Organization":"The University of Tennessee","PhotoUrl":null,"IsPresentingAuthor":false,"Order":27,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background and Objective: Understanding drivers of multidrug resistance (MDR) and methicillin resistance, which have increased among canine staphylococcal isolates, is essential to inform antimicrobial use practices. Therefore, the objective of this study was to identify predictors of MDR and methicillin resistance among Staphylococcus spp. commonly isolated from canine clinical specimens.

Methods: This retrospective study used records of canine specimens submitted to the University of Tennessee College of Veterinary Medicine Clinical Bacteriology Laboratory for bacterial culture and antimicrobial susceptibility testing between 2006 and 2017. Records from 7,805 specimens positive for the following Staphylococcus species were included for analysis: S. pseudintermedius, S. aureus, S. coagulans, and S. schleiferi. Multivariable logistic regression was used to identify predictors of MDR and methicillin resistance among these isolates.

Results: Multidrug (42.1%) and methicillin resistance (31.8%) were relatively common. Staphylococcus species, specimen site, and clinical setting were significant (p<0.001) predictors of both outcomes. Compared to S. pseudintermedius, S. schleiferi had higher odds of methicillin resistance, while S. aureus, S. coagulans and S. schleiferi had lower odds of MDR. Isolates from cutaneous and joint/bone specimens had higher odds of MDR and methicillin resistance compared to otic isolates, while urine/bladder isolates had lower odds of methicillin resistance. Isolates from hospital patients had higher odds of MDR and methicillin resistance than submissions by referring veterinarians.

Conclusions: Staphylococcus isolates in this study had substantial levels of MDR and methicillin resistance. Comparable odds of MDR and methicillin resistance among cutaneous isolates from different clinical settings suggests that complicated or recurrent skin infections may be treated in primary care practices more commonly than other types of infections. Judicious antimicrobial use, informed by culture and susceptibility testing, is important to limit treatment failures and curb selection pressure.

Key Words: Multidrug resistance; methicillin resistance; Staphylococcus; epidemiology; canine
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Introduction: Five of the six countries in the East Africa Community are classified by the WHO under the AFR-E sub-region. This sub-region is the second highest in foodborne disease burden with 1,200 DALYs per 100,000 inhabitants. Unsafe food has serious impacts on health and livelihoods of the people, as well as trade and economic development. Addressing food safety gaps requires participation of all stakeholders in the food value chain.
Objectives: The objective of this study is to analyse the perceptions of relevant stakeholders on status of food safety, food safety gaps in informal markets and discuss opportunities to improve food safety in the region.
Materials and methods: This is a qualitative study involving the use of participatory methods. Burundi and Kenya have purposely been selected for the study, with defined informal market settings. The protocols to guide data collection will be developed in English and translated to Swahili (for Kenya) and Kirundi (for Burundi), and pre-tested before use in the field. Ethical approvals in line with requirements in each country will be sought. Informed consent will also be obtained from all participants prior to their involvement in the study. Data will be summarized and synthesized thematically. Statistical methods for handling non-normal data will be considered.
Results: The perceptions of stakeholders on status of food safety in informal markets and suggestions on priority value chains that should be considered for food safety intervention will be discussed.
Conclusions: This study will provide in-depth understanding of food safety status in both countries, as perceived by the stakeholders. The findings are expected to guide future research work and further inform decision making for policy development and donor investment.
Key words: Food safety, Informal market, Stakeholder, East Africa.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d12154ed-5a96-4eee-9b2d-d5985b20d3db","e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Maureen Kuboka","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using machine learning to predict swine movements with application to the control of infectious diseases","PresentationBio":null,"Title":"Mr.","FirstName":"Pablo","LastName":"Valdes-Donoso","Position":"Assistant Professor","Organization":"Universite de Montreal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":28,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: We summarized frequency and distance of movements within two partial networks of swine farms and markets from two counties in Minnesota and used that information to predict a network in a larger region for which a voluntary swine disease control program has been implemented.

Material and methods: A machine learning technique, referred to as Random Forest, was used to estimate the probability of pig movements between farms and/or market sites located in two counties in MN. Once the model was calibrated and tested, we used it to predict animal movements in sites located across 34 Minnesota counties.

Results: Agreement between observed and expected movements in the model was maximized using a 0.85 probability threshold. Variables that were important in predicting pig movements included distance between sites, ownership, and production type of the origin and destination. Using a weighted-Kernel approach to describe spatial variation in centrality measures of the predicted network, we also show that the south-central region of the study area exhibited high spatial-aggregation of pig entries and exits. This area also seemed to be a hot spot for some swine diseases, which would be expected for an area engaging in large quantities of animal movements.

Conclusions: The information provided here will help to design and implement control strategies in the region. Additionally, the methodology here may be used to estimate contact networks for other livestock systems when only incomplete information is available.

Keywords: US swine industry, pig movements, regional control programs, Random Forest, social network analysis.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Pablo Valdes-Donoso","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Knowledge gaps in the understanding of antimicrobial resistance in Canada","PresentationBio":null,"Title":"Ms.","FirstName":"Kayley","LastName":"McCubbin","Position":null,"Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":29,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction/Objectives: Antimicrobial resistance (AMR) threatens the ability to effectively treat infections in both humans and animals. To address rising concerns regarding to continued development of AMR, and subsequent impacts, three important areas were identified for review, including: (1) treatment optimization, (2) surveillance of antimicrobial use (AMU) and AMR, and (3) prevention of transmission of AMR. Without highlighting current gaps that exist in identified areas, sustained progress in AMR mitigation efforts cannot be made. Current AMR surveillance efforts in Canada are summarized and the need for increasing environmental consideration becomes clear. Discussions regarding addressing described knowledge gaps are separated into four categories: (1) further research, (2) increased capacity/resources, (3) increased prescriber/end- user knowledge, and (4) policy development/enforcement.

Methods: Current limitations in the understanding and control of AMR in Canada are described in a comprehensive review. Where supporting data are lacking, expert opinion was used. Furthermore, requirements to address knowledge gaps are discussed, directing expert panels in identifying concrete next steps.

Results: Using Canada as an example, this review emphasizes the importance and necessity of a One Health approach for AMR research and policy. Specifically, AMU in the human, animals, and environmental sectors cannot be thought of as separate actions, and a One Health approach in AMR understanding and current surveillance efforts is required. Judicious AMU is required across all sectors; however, this must be supported by research into best AMU reduction practices, understanding and supporting behavioural changes, economic considerations, and increasing public knowledge.

Conclusion: Overall, the presented evidence and knowledge gaps underscore the necessity for AMR policy decisions to be considered in a One Health framework, while also calling attention to the current issues that need to be addressed for realistic and meaningful progress to be made.

Keywords: Antimicrobial resistance, One Health, Stewardship, Surveillance","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Kayley McCubbin","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Effective biosecurity measures for the control of Salmonella in European pig farms.","PresentationBio":null,"Title":"Miss","FirstName":"Hannah","LastName":"Jones","Position":"Epidemiological Scientist","Organization":"Animal And Plant Health Agency","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ccbd85bfe225462fa64909aa497c9690","IsPresentingAuthor":false,"Order":30,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To assess the use and effectiveness of biosecurity measures for the control of Salmonella on European commercial pig farms.

Methods: This study forms part of the BIOPIGEE project “Biosecurity practices for pig farming across Europe”. Each country recruited commercial-sized breeder, farrow-to-finish and specialist finisher farms, excluding small-holdings, nucleus/ multiplier herds, and Specific Pathogen Free herds.
Each farm completed a questionnaire on current biosecurity practices. To categorise Salmonella risk, twenty pooled faecal samples were collected from the floor of pig housing, each sample consisting of ten pinches of faeces. Salmonella isolation was carried out in accordance with ISO 6579-1:2017. Two countries used historical surveillance data to provide data on the occurrence of Salmonella in the pig herds.
Farms were designated as high or low risk using a determined cut-off of 20% sample prevalence. Multivariable regression analysis was used to determine significant associations to identify biosecurity practices effective for controlling Salmonella.

Results: A total of 250 farms from nine countries (18-38 per country) were included for Salmonella analysis; 120 (48.0%) farrow-to-finish, 47 (18.8%) breeding, and 83 (33.2%) fattening farms. Five farms were outdoor enterprises. 41 (16.4%) farms were identified as high risk for Salmonella. The most commonly applied biosecurity practices were the presence of a pest control program (94.7%), carcase storage to protect against wildlife (91.6%), the use of disposable gloves to manipulate carcasses (82.5%), and external and internal persons using farm-specific footwear (82.3% and 84.4%, respectively). Multivariable regression analysis was completed to identify which practices were associated with having Salmonella high risk.

Conclusion: The descriptive and risk factors results have highlighted potential improvements to on-farm biosecurity and these will be presented and discussed in full at the conference.

Funded by European Union's Horizon 2020 Research and Innovation programme grant agreement No 773830: OHEJP

Keywords: swine, Salmonella, biosecurity, one health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","df5d618c-3702-4d9c-95b6-0ad39c8b6184","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Hannah Jones","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Examining the differential use of a North American animal poison control call center by veterinarians and the public","PresentationBio":null,"Title":"Miss","FirstName":"Keana","LastName":"Shahin","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":31,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction\t
Telehealth services are becoming increasingly common, they offer users the ability to receive credible health advice from licensed professionals in the comfort of their own home. In the field of veterinary medicine, telehealth services have been employed since the early 2000s but there has been little examination of how these services are used by callers.
Objectives
The objectives of this study were to explore how the use of an animal poison control center (APCC) varied between veterinarians and the public in terms of toxicant type, animal demographics, availability of veterinary services, as well as seasonal and secular trends.
Methods
Data regarding dog poisoning events were obtained from the American Society for the Prevention of Cruelty to Animals’ (ASPCA) APCC. We fitted a mixed logistic regression model with random intercepts for county and state.
Results
We identified statistically significant associations between caller type and the following: animal characteristics (i.e., age, weight, breed-class), type of toxicant, season, year, and access to veterinary services (i.e., veterinarians per capita in the county of the caller). We also found statistically significant interaction effects between season and both plant and pesticide toxicants and between year and access to veterinary care.
Conclusion
Further investigations are needed to understand how the novelty of a toxicant and the severity of symptoms associated with a toxicant predict the type of caller, if pet demographics are associated with the caller based on medical issues or owner attitudes, and how access to veterinary care influences the use of this telehealth service.

Keywords: Telehealth, canine health, toxicology, multi-level models, disease surveillance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","c0c76c20-a7ea-4e61-af24-1ffb79f9f561","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Keana Shahin","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Don’t ‘dog’ the tough questions: Understanding occupational stressors and the perceived impacts of mental health on veterinarians’ provision of care ","PresentationBio":null,"Title":"Miss","FirstName":"Megan","LastName":"Campbell","Position":null,"Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":32,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: veterinarian, stressors, mental health, provision of care

Veterinarians in Canada, the United States, the United Kingdom, New Zealand, and Australia have elevated risks of anxiety, depression, and/or suicide compared to their general populations. Occupational stressors contribute to stress, and potentially distress, which can negatively impact mental health. Subsets of veterinarians, including women and younger veterinarians are more prone to poor mental health compared to their counterparts. Poor mental health has been reported to impact provision of care amongst human physicians; however, similar studies in veterinarians are scarce. To better understand the lived experiences of stress and poor mental health of veterinarians, as well as the perceived impacts on provision of care, 25 in-depth, one-on-one interviews were conducted with practicing veterinarians at the 2016 Canadian Veterinary Medical Association Conference in Ontario, Canada. The average interview length was 57 minutes. The interviews were transcribed verbatim. Interviews were analyzed to find meaningful patterns within the dataset, using thematic analysis with a combination of inductive and deductive coding. The data provided insights into occupational stressors, including: moral distress, high work demands, long working hours, interpersonal relationships, personal finances, the difficulties associated with being newly graduated, and self-described personal characteristics of participants (e.g. “overachiever”). Participants described a myriad of ways in which their mental health influenced provision of care, including: their ability to concentrate, the quality of care, their level and quality of communication with clients and fellow colleagues, and perceived decreased empathy. These results add to the knowledge of the occupational stressors experienced by practicing veterinarians and provide important insights into how stress and mental health are perceived to impact veterinarians’ provision of care. Additional larger scale studies of the ramifications of poor mental health among members of veterinary teams, including practice-level factors positively and negatively associated with mental well-being, are warranted. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","cb344d68-5710-46be-a916-dd122f96ab66","02f86f29-9eae-4d8d-b937-84e31f38e74d"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Megan Campbell","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Monetary burden of neurocysticercosis-associated epilepsy on a population in Muli County, China","PresentationBio":null,"Title":"Miss","FirstName":"Ilana","LastName":"Mosley","Position":"","Organization":"Texas A&M University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":33,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"
Objective: The objective of this study was to estimate the monetary burden of neurocysticercosis (NCC) with late onset epilepsy on residents of Muli County, China. Muli is an agricultural county in Liangshan Prefecture, Sichuan Province, China where pigs are raised and the zoonotic cestode, Taenia solium, is endemic.

Materials and Methods: Demographic and treatment data were collected from the Muli County Health Insurance Department on cases of late onset epilepsy with a subsequent diagnosis of NCC between 2014-2021. These patients represented Muli County residents that purchased health insurance and received treatment in a public hospital in Sichuan Province. Hospital costs were converted from Chinese renminbi (RMB) to United States dollars (US$) and adjusted for inflation. Individuals with missing hospital information were excluded from analysis. For indirect costs, annual average salary for Liangshan Prefecture working-age adults was obtained to calculate productivity losses based on number of hospitalization days. Transportation costs were evaluated based on estimated bus fare to and from the hospital.

Results: Out of 67 patients identified from 2014-2021, 65 had complete records, of which 47.8% were male (n=32) and the median age at first hospitalization was 37 years. Total estimated cost for these patients was US$197,545. Direct costs contributed 71.4% (US$141,102) and indirect costs were 28.5% (US$56,380) of the total cost. The estimated median cost per case was US$1,890. Individuals with a single hospitalization (n=38) cost a median of US$1,443 and those with multiple hospitalizations (n=27) cost a median of US$3,708.

Conclusions: The median cost per NCC-associated epilepsy case was 18.0% of the average wage for a Liangshan Prefecture resident in 2021. While the study was limited to those with insurance coverage, monetary burden on the local population is likely substantial. Improved local food safety and hand hygiene practices should be encouraged.

Keywords: Neurocysticercosis, China, Zoonotic, Disease burden, Economic
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Ilana Mosley","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Livestock Mass Vaccination during Humanitarian Responses","PresentationBio":null,"Title":"Dr.","FirstName":"Shaina","LastName":"Craige","Position":"Science and Technology Policy Fellow","Organization":"American Association for the Advancement of Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":34,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"While mass vaccination is often used as a tool to protect animal health, particularly in pastoral areas, when disasters such as drought impact livestock keepers, past studies have indicated that it is often unsuccessful in reducing disaster-related livestock morbidity and mortality rates. The limited impact of such projects has been attributed to weaknesses in the design and implementation of mass vaccination interventions. The purpose of this study is to review current knowledge and results of emergency livestock mass vaccination interventions so as to identify opportunities for improving approaches to preventative animal health as a vital component of responses to disasters in livestock keeping communities.
A review of the peer-reviewed literature in the past 20 years was conducted in Science Direct using a set of key terms related to livestock mass vaccination. In addition, using databases internal to the United States Agency for International Development’s (USAID) Bureau for Humanitarian Assistance (BHA), quantitative and qualitative statistics were used to identify the types of livestock mass vaccination protocols supported by BHA from 2015 through 2021.
The literature review yielded a total of 850 studies, of which <10% were found to be relevant to livestock mass vaccination protocols in a humanitarian context. The livestock mass vaccination protocols supported by BHA show significant gaps in the quality of reporting by partners. The lack of details reported in the peer-reviewed literature is indicative of the knowledge gap on this topic, perhaps because of the lack of emphasis on assessing and reporting the design and impacts of emergency interventions in the humanitarian community. However, the benefit-cost ratio of livestock vaccination can be high if vaccination protocols are well designed and implemented properly. Design must be based on well-defined objectives regarding the interruption of disease transmission in the target community and benefits to individual livestock owners.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0bb275db-dbe0-42d7-abe1-4ccfc61191ed","cb344d68-5710-46be-a916-dd122f96ab66","b838af4f-bddf-4b1b-84d6-642a51a831fd","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Shaina Craige","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Large hog farms unfairly blamed for poor health in neighboring communities in North Carolina ","PresentationBio":null,"Title":"Dr.","FirstName":"Kaushi","LastName":"Kanankege","Position":"Researcher","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4f5f3b4ae9a047ce9c3850b78129e5d7","IsPresentingAuthor":false,"Order":35,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"A study published in 2018 titled “Mortality and Health Outcomes in North Carolina (NC) Communities Located in Close Proximity to Hog Concentrated Animal Feeding Operations (CAFO)” concluded NC communities near hog CAFOs are associated with higher negative health outcomes. While authors stated that associations does not imply causation, out-of-context interpretation of their results by media caused detrimental effects on the swine industry. Funded by the National Pork Board, our objective was to repeat the same study using updated data and identify whether preconceived associations, data quality, and choice of analytical methods influenced previous study.
Previous study describes an ecological study using available data from 2007 – 2013. They analyzed exposure to CAFOs using logistic regression conducted at individual-level, while presumably correcting for six confounding factors. We used same data sources and analytical methods, with additional years of data (2007 – 2018). Mortality, hospital admissions, and emergency department visits related eight diseases were analyzed (anemia, kidney disease, infectious diseases, tuberculosis, low birth weight, HIV, and diabetes). The study population and their exposure was defined by categorizing NC zip codes into three by pig density; where, >1 hogs/km2 (G1), > 232hogs/km2 (G2), and no hogs (Control).
Our repeated analysis recognized several shortcomings of the 2018 study approach including: Ecological Fallacy, residual confounding, inconsistency of associations, and over estimation of the potential risk of exposure. Diseases that are not causally relatable to hog CAFOs--HIV and diabetes--were also prominent in the communities neighboring CAFOs (G1 and G2).
Results suggested that the associations in fact reflects systemic health disparities of the communities near hog CAFOs, which were not caused by the exposure. An ecological study would not confirm or deny exposure over time nor indicate causation. Hence, we emphasize the importance of responsible interpretation of ecological studies that concerns public health, agriculture, and economy
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","d12154ed-5a96-4eee-9b2d-d5985b20d3db","b54dfa86-6afc-4153-94d2-41ebd9cc197b","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kaushi Kanankege","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Biosecurity practices to reduce risk of hepatitis E virus in European pig farms","PresentationBio":null,"Title":"Ms.","FirstName":"Marina","LastName":"Meester","Position":"Phd Candidate","Organization":"Utrecht University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a484ad9c23d342239061933d3ffa1774","IsPresentingAuthor":false,"Order":35,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: HEV; case-control study; EU; biosecurity
1.\tObjective: Hepatitis E virus (HEV) can cause liver inflammation in humans, and pigs are presumed the most important source of human infections. Knowledge on how to control HEV in pigs is needed. We aim to identify implementable biosecurity measures that aid control or reduction in prevalence of HEV on commercial European pig farms.
2.\tM&M: This study forms part of the BIOPIGEE project “Biosecurity practices for pig farming across Europe”, funded by the One Health European Joint Programme (OHEJP). Nine European countries participated and recruited commercial-sized breeder, farrow-to-finish and specialist finisher farms. A questionnaire with 69 questions about internal and external biosecurity practices was conducted with each farmer by the regular veterinarian or a researcher. To determine the HEV status of the farm, 20 pooled fecal samples containing 10 pinches of feces were collected from sows, gilts and / or finishers. One country used historical surveillance data to provide data on the occurrence of HEV in the pig farms. Multivariate logistic regression is performed to identify effective biosecurity measures that are associated with low HEV risk.
3.\tResults: In total, 231 farms (median 30, range 3-47 per country), were included in the study, consisting of 117 (50.6%) farrow-to-finish, 40 (17.3%) breeding, and 74 (32.0%) finisher farms. On average, 15.5% of samples was HEV positive, 102 farms had zero HEV positive samples. The cut-off of HEV status was set at 25%, resulting in 161 farms with a low risk and 70 with high risk status. Results of the regression analysis will be presented at the conference.
4.\tConclusion: HEV is widely distributed across European pig farms. This study will provide a better understanding of how to control the virus in commercial farms.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","40011888-980a-402c-868e-27ff2aacbc1b","e38fdbff-06ce-4925-a92e-8faaaf3278a6","33998207-8c57-4717-9114-ccf9182e92bf"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Marina Meester","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A One Health Data Challenge: Providing Evidence Across Disciplinary Borders for the Global Burden of Animal Diseases","PresentationBio":null,"Title":"Ms.","FirstName":"Theresa","LastName":"Bernardo","Position":"Professor, IDEXX Chair in Emerging Technologies and Preventive Healthcare","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":36,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives

Endorsed by FAO, OIE, WHO and UNEP in Dec 2021, the One Health High Level Expert Panel’s operational definition recognizes One Health as an integrated, unifying approach “to sustainably balance and optimize the health of people, animals and ecosystems”. Work across disciplinary boundaries to combine data of different types and formats from a variety of sources can provide the evidence on which to base such complex One Health decisions. For example, the calculation of global human, animal, crop loss and foodborne burdens of disease each rely on compilation and harmonization of data from all countries. In turn, data from these various global burdens, combined with data from other sources on land use and climate change, will factor into One Health deliberations.

Methods

The Informatics Theme of the Global Burden of Animal Diseases (GBADs), has delved into data issues and challenges, learning to work with other GBADs Themes (e.g. production, economics) with different vocabularies, ontologies, skills and needs, to identify not just the location of their relevant data sources, but the details of variables used, and to describe the data in the form of metadata. Starting with existing sources of open data, we are creating a knowledge engine to generate reliable, reproducible results in a transparent and efficient manner.

Results

Implementing a graph database helps to understand and analyze dynamic connections between people, processes and technology. Using measures of data quality builds trust in the data itself, as well as the resulting models and dashboards. Best practices and standards for data governance are documented in our Data Governance Handbook.

Conclusion

Providing easily accessible, automatically updated, interoperable data, analyzed and visualized in meaningful ways will enable people to take informed action based on engaging One Health data stories.

Keywords

GBADs, One Health, data interoperability

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","1431029c-0cdf-4ff9-912e-8fee50ef8438","9f2295d7-194f-44de-9cea-8eb77d958e64","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","02f86f29-9eae-4d8d-b937-84e31f38e74d","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Theresa Bernardo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Prevalence and antibiotic resistance of ovine respiratory bacteria (Mannheimia haemolytica and Pasteurella multocida) isolated from healthy sheep processed in California: Results from a pilot study","PresentationBio":null,"Title":"Mrs.","FirstName":"Wendi","LastName":"Jackson","Position":"Veterinarian Specialist (epidemiology)","Organization":"UC Davis and California Department of Food and Agriculture","PhotoUrl":null,"IsPresentingAuthor":false,"Order":37,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): To determine the prevalence and antibiotic susceptibility profiles of Mannheimia haemolytica and Pasteurella multocida isolated from the upper respiratory tract of healthy sheep processed in California.
Materials and Methods: A total of 620 healthy sheep carcasses were sampled at slaughter from a processing facility in California, from April through September 2021. Respiratory swabs of the deep nasopharyngeal region were screened for the presence of target bacteria and isolates were analyzed for susceptibility to antibiotics used to treat respiratory infection in sheep. Cumulative antibiotic susceptibility results were compiled for risk groups, including the development of antibiograms.
Results: All sheep from California farms (300) were to be marketed as ‘antibiotic-free’ and, of animals raised out-of-state (320), 130 were to be marketed as ‘antibiotic-free’ and 190 were not marketed under this label. Of the total 620 carcasses sampled, 345 had at least one isolate of interest recovered (290 M. haemolytica and 98 P. multocida) for an isolation rate of 56% . Based on veterinary breakpoints, all P. multocida isolates showed susceptibility to all antibiotics tested, and M. haemolytica isolates showed high susceptibility (>90%) to all antibiotics tested except penicillin (24%). Multidrug resistance was not found in any isolate in either target organism.
Conclusion: There was very low to no phenotypic antimicrobial resistance across both bacterial species tested, demonstrating good efficacy of most antibiotic treatment options for pathogens that frequently cause respiratory disease in sheep. Sampling at slaughter presents the opportunity to gather information from the ovine respiratory tract in a manner that is otherwise not possible in live sheep. Findings may not be generalizable to sheep with clinical respiratory disease, non-commercial producers, or conventional producers.
Keywords: antibiotic resistance, ovine respiratory disease, antibiogram, Mannheimia haemolytica, Pasteurella multocida","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","0c879798-e821-4cff-bf7e-791d4b78ec7f","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Wendi Jackson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimation of contact rates between wild birds and domestic birds in backyard production systems in Chile","PresentationBio":null,"Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Organization":"Universidad de Chile","PhotoUrl":null,"IsPresentingAuthor":false,"Order":38,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Studies carried out in South America have described avian influenza virus (AIV) transmission in the interface of wild birds and domestic birds. Findings in Chile have evidenced spillover events from wild birds to backyard production systems (BPS) poultry. However, it is unknown how AIV could enter and spread among BPS. Small passerine birds could be a bridge between aquatic wild birds and domestic birds. Understanding the dynamic contacts among BPS poultry – bridge species – aquatic wild birds and their potential role in the transmission of AIV virus is a priority.
The objective of this study was to measure contact rates between aquatic wild birds, bridge species and BPS poultry in Chile.
Infield videotaping method was done by monitoring movements in BPS in three moments of the day (1.5 hours at dawn, 1.5 hours at noon, 1.5 hours at sunset). The median number of contacts and confident intervals (95%) were calculated.
To date, a total of 18 hours has been recorded in 4 BPS. A total of 868 movements has been registered, of which 187 corresponded to the visualization of a bridge specie on the screen, 671 to domestic birds and 10 to humans. Out of the 868 movements, 24% occurred in the morning, 29% at noon and 47% at sunset. The median number of direct contacts between bridge species and poultry per day was 2.5 (IQR=1 – 28). The median number of direct contacts between domestic hens of the same BPS per day was 113.5 (IQR= 85.8–125.5).
Epidemiological modeling is a technique increasingly used to estimate the potential magnitude of a disease outbreak and a valuable tool for analyzing and developing control strategies. Having data on contact rates is very powerful for refining spread models of infectious diseases, particularly in an understudied area like BPS in South America.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","502f57ff-3ea6-475b-858d-340ec3e1c6e4","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"chris_hwest","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"chris_hwest","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://chris_hwest","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://chris_hwest","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Christopher Hamilton-West","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Role of pets in SARS-CoV-2 transmission, the Netherlands 2020 - 2021","PresentationBio":null,"Title":"Prof.","FirstName":"Arjan","LastName":"Stegeman","Position":"Professor","Organization":"Utrecht University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/134a3fb29670492391e08c8b34c3906b","IsPresentingAuthor":false,"Order":39,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: SARS-CoV-2, cat, dog, transmission, zoonotic

Objective
The aim of this study was to establish the contribution of pets in SARS-CoV-2 spread in the Netherlands.

Methods & Results
Infected pets were found in 24% of 195 Covid-19 affected households; 31/152 cats and 24/156 dogs. In cats, but not in dogs, a positive association between the number of infected humans in a household and the numbers of pets per human was observed. In a household, the partial reproduction ratios (R) were estimated as 1.26 (0.92-1.49) from human to human, 0.56 (0.36-0.78) from human to cat, 0.00 (undet-0.48) from cat to cat and 0.30 (0.00-2.02) from cat to human.
Thousand routinely collected blood samples showed a seroprevalence of 0.4% in cats and 0.2% in dogs during the first Covid-19 wave and 0.3% in cats and 2.3% in dogs during the second wave. In 240 samples collected from cats housed in 28 shelters, only two proved seropositive and all 285 stray cats from 24 different locations in the Netherlands were (sero)negative. In dogs and cats submitted to post mortem 1/240 dogs was PCR positive, while 5/188 cats proved seropositive.
Under controlled conditions, transmission of SARS-CoV-2 was successful in 3 out of 4 cats in direct contact and 1 out of 8 cats in indirect contact. Reproduction ratio was estimated 2.12 (0.93-4.08) with a virus decay rate of 2.73 (0.77-15.82) day-1, i.e. infectious for 8.8 hours after shedding.

Conclusions
Infection of cats and dogs in Covid-19 positive households occurs frequently and cats can transmit the virus (indirectly) to other cats. Although the results suggest that transmission from human to cat could be followed by transmission from cat to human, our overall conclusion is that the contribution of dogs and cats to the size of the SARS-CoV-2 epidemic in the Netherlands has been insignificant.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","7f76020c-d489-4456-9d83-b398a3eb966f","8fc4d524-a96c-44ab-af7e-21be4a6db35f","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Arjan Stegeman","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Detection and quantification of antibiotic residues in communal goat's milk in Mafikeng Local Municipality, South Africa","PresentationBio":null,"Title":"Miss","FirstName":"Katlego","LastName":"Ndlovu","Position":"Postgraduate student","Organization":"North West University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":40,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objective(s)
Detect and quantify the presence of antibiotic residues in goat’s raw milk.
Evaluate the awareness levels of farmers on the use and misuse of antibiotics.
2. Materials and methods
Hundred (100) goat farmers were interviewed using a questionnaire on handling and use of veterinary drugs. Simultaneously, 266 goat raw milk samples were collected. The samples were screened for the presence of amoxicillin, tetracycline, sulfamethazine, erythromycin and streptomycin residues using the Enzyme-Linked Immunosorbent Assay (ELISA) and High-Perfomance Liquid Chromatography (HPLC).
3. Results
All farmers (100%) were found to be using veterinary antimicrobials in animal farming.The majority (56%) of them reported that they use antibiotics only when their animals are sick or showing signs of infection. All (100%) participants responded positively when asked about antibiotics guidelines. However, 11% of them were not concerned about the correct dosage, 4% lacked knowledge on the route of administration, and 10% did not know the duration of therapy. ELISA results showed that erythromycin, sulfamethazine, and amoxicillin exceeded the accepted Maximum Residual Levels (MRLs) established by Codex Alimentarius in 94.7%, 82.3%, and 35.3% of analyzed samples, respectively. Tetracycline was present in all (100%) analyzed samples, and streptomycin was detected in 18.7% of samples; however, these results were below the established standards. Furthermore, the HPLC method showed that 90% of milk samples analyzed were positive for streptomycin and 40% for tetracycline, but these values were below the accepted MRLs. Approximately 76.6% of samples confirmed to be exceeding the established MRL for sulfamethazine and 10% for erythromycin. Unfortunately, amoxicillin was not detected in the HPLC method.
4. Conclusion
Data on this study suggests that the is a need to increase awareness on the presence of antibiotic residues in animal food origin and its possible public health implications.

Keywords: ELISA, HPLC, MRLs, Goat's milk, Antibiotic residues

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d12154ed-5a96-4eee-9b2d-d5985b20d3db","0c879798-e821-4cff-bf7e-791d4b78ec7f","e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Katlego Ndlovu","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Factors associated with antimicrobial-resistant Campylobacter infections in humans: A scoping review","PresentationBio":null,"Title":"Ms.","FirstName":"Kelsey","LastName":"Robertson","Position":"Project coordinator","Organization":"University of Alberta","PhotoUrl":null,"IsPresentingAuthor":false,"Order":41,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Campylobacter species, a leading cause of acute diarrheic illness globally, have developed resistance to antimicrobials important to human medicine. Infection with antimicrobial-resistant Campylobacter is an important public health concern as it has been linked with increased severity of illness and risk of death. There is need to synthesize the research and identify key gaps. The objective of this study was to perform a scoping review of factors potentially associated with human infection with antimicrobial-resistant Campylobacter.

Comprehensive literature searches were performed in five primary and three grey literature databases. Criteria for inclusion were analytical English publications of antimicrobial resistant Campylobacter infections in humans (resistant to macrolides, tetracyclines, fluoroquinolones, and/or quinolones) that reported factors potentially linked with infection. Factors were defined as a practice or circumstance which influences antimicrobial resistance. Using Distiller SR®, primary and secondary screening were completed independently by two reviewers and data extraction was completed by a single reviewer.

The search identified 8,527 de-duplicated articles and 27 articles were included after screening. Factors were broadly grouped into seven themes: animal contact, prior antimicrobial use, participant characteristics, food and food preparation, travel, underlying health conditions, and water. Articles exploring factors related to travel (n=17) and participant characteristics (n=14), such as age, were most common.

This scoping review mapped current literature investigating factors related to antimicrobial-resistant Campylobacter infections in humans. The heterogeneity of the results and articles provided a broad overview of the available factors while also illuminating areas for potential future research.

antimicrobial resistance
public health
antimicrobial
One Health
Campylobacter
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9fca433bcb4f4baab8b188a4564c6c8b","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","b838af4f-bddf-4b1b-84d6-642a51a831fd","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Kelsey Robertson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Policy development to reduce antibiotic usage in Vietnam: understanding its implementation from the actors of the veterinary drug value chain perspectives","PresentationBio":null,"Title":"Miss","FirstName":"Chloé","LastName":"Bâtie","Position":"Phd Candidate","Organization":"CIRAD","PhotoUrl":null,"IsPresentingAuthor":false,"Order":42,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Following the development of the National Action Plan to fight antimicrobial resistance, new policies have been issued in Vietnam to reduce the use of antibiotics in livestock production. However, to be effective, regulations need to be understood and implemented by local stakeholders. In this study, we aim to map the power dynamics between actors of the veterinary drug value chain and to identify bottlenecks in the implementation of these new antibiotic uses policies.
We conducted a stakeholder mapping and analysis through a focus group (n=12 participants) and 38 semi-structured interviews with respondents from the public, private, foreign partner sectors of the veterinary drug value chain. Based on the thematic analysis, each participant was defined in terms of their level of legitimacy, resources, connections, and power within the value chain and barriers and motivations to the implementation were identified.
From the drug value chain mapping, we found that involvement in the legislative process improved regulatory compliance by stakeholders. The differences in business sizes, legal status, and resources held by stakeholders generated the different performances in implementing the regulations then created the distance between regulations and realities. For example, large companies implemented legislation better than local stakeholders (veterinarians, farmers), who did not participate as active stakeholders in the legislative strategy. The lack of knowledge and human and technical capacity to implement regulations effectively could be explained by a lack of connection between policymakers and small to medium-scale farms.
Developing new policies is the first step toward more prudent antibiotic use. However, to achieve a change in practices, this strategy requires improving the capacities of state bodies and collaboration across sectors. It must also be combined with other locally developed solutions such as the development of cooperatives or sales channels for antibiotic-free chicken production. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","43f42602-f380-4a8a-9da3-ce05b383dc09","0c879798-e821-4cff-bf7e-791d4b78ec7f","02f86f29-9eae-4d8d-b937-84e31f38e74d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Chloé Bâtie","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Chick Supply to Broiler Farms of Hong Kong: Quality Challenges and Potential Solutions","PresentationBio":null,"Title":"Dr.","FirstName":"Omid","LastName":"Nekouei","Position":"Assistant Professor","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/35f51bad71c742f187faf5f6ad3ee37d","IsPresentingAuthor":false,"Order":43,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
To establish a baseline for the quality of day-old chicks supplied to broiler farms in Hong Kong and develop recommendations to improve the supply quality.
Methods
During 2019-2021, 70 batches of day-old chicks from 11 broiler farms were studied. Twenty-four chicks per batch were selected (judged to be representative) and assessed for any abnormalities in appearance, navel, crop filling, dehydration, body weight, and length uniformity. Chicks were sacrificed, and yolk sac residues were measured to calculate the yolk-free body weight. Blood samples were collected from all chicks and tested for the maternally-derived antibody levels against Newcastle disease virus (NDV), infectious bursal disease virus (IBDV), and avian reovirus (ARV) using commercially available enzyme-linked immunosorbent assay (ELISA) tests.
Results
Data on 1,647 chicks from 70 batches (36 sourced locally and 34 imported from Mainland China) were available. Crop filling in nearly half (9/19) of the three-day-old batches from both sources were < 90%. The proportion of abnormal navel in most batches was high (median: 59%). The average length of chicks per batch ranged between 16.3 and 20.7 cm, and their average weights were 31-38 g. On average, imported batches had a higher body weight and length compared to their local counterparts. The mean antibody titers against NDV and ARV were significantly higher in imported batches than the local ones. The majority of batch-level ELISA titers for IBDV from both sources (51/69) were below the desired threshold of 3,000, and the mean value was significantly lower in imported batches compared to the locals.
Conclusion
Lower quality of local chicks compared to the imported batches highlighted the need for continuous quality monitoring and establishing a well-managed broiler breeder farm and a hatchery in Hong Kong to enhance the health and productivity of the local farms.
Keywords: day-old chick, broiler, maternally derived antibody, biosecurity","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","02f86f29-9eae-4d8d-b937-84e31f38e74d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Omid Nekouei","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Characterising influenza epidemiology at the human-swine interface in Cambodia: The PigFluCam+ project","PresentationBio":null,"Title":"Ms.","FirstName":"Hannah","LastName":"Holt","Position":null,"Organization":"Royal Veterinary College/London School of Hygiene and Tropical Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":44,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Coordinated research and surveillance for infectious diseases at the human-livestock interface is needed to better respond to emerging infectious disease threats. The PigFluCam+ project is a multi-partner research collaboration to characterise zoonotic risks from pig rearing systems in Cambodia, with a focus on influenza.

Materials and methods: Longitudinal surveys are being conducted across components of the pig value chain to identify risk hotspots for cross-species transmission and reassortment of influenza viruses. The project broadly consists of two surveys conducted in parallel (Figure 1):

Pig sector surveys: conducted in different types of pig enterprises to describe production, trade and seroprevalence and diversity of influenza virus in pigs.

Human cohort survey: Serological and virological surveillance of influenza among a cohort of households with and without occupational exposure to pigs.

Swabs are screened for influenza-A M-gene and positive samples sequenced. Sera will be tested for Influenza A antibodies using ELISA and a multiplex bead-based immunoassay.

Results: Samples have been collected from over 3,056 slaughterhouse pigs originating from a range of production types. A total of 858 people (from 531 households) were enrolled into the human cohort, of whom 49.3% have daily contact with live pigs and 6.5% slaughter pigs daily. Laboratory testing is ongoing; the results will be used to identify risk factors for exposure.

Conclusion: The study design and findings can help inform risk-based strategies for early detection and mitigation of emerging disease threats in the Lower-Mekong region, where livestock systems are changing rapidly. Challenges and lessons learned will be discussed.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0b95b08dbff84ad783a6c01f1cb9cc6d","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","8fc4d524-a96c-44ab-af7e-21be4a6db35f","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Hannah Holt","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Impact of weaning-related vs transport-related stress on serum cortisol levels in commercial piglets","PresentationBio":null,"Title":"Dr.","FirstName":"Hannah","LastName":"Golightly","Position":"","Organization":"Ontario Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":45,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Key words: piglet, transport, weaning, welfare

Objective: Evaluate stress response through changes in serum cortisol levels collected from piglets that undergo weaning, weaning and transport, or neither, to help interpret the effects of transport after weaning on piglet welfare.

Materials and methods: Two groups of piglets were evaluated. Piglets from group 1 were either weaned (n=20, 5.1 ± 1.3 kg), or remained in the farrowing crate (n=20, 5.3 ± 0.8 kg). Serum cortisol samples were collected from group 1 piglets 24h before weaning and five times after weaning, up to 72h after. Piglets from group 2 were either weaned and transported a short duration (SD <3h) on the same day (n=80, 6.3 ± 0.8 kg), or weaned and transported for a long duration (LD >30h) one to six days post-weaning (n=80, 6.0 ± 1.1 kg). Sera were collected from group 2 piglets the day before transport and upon arrival after transport. Cortisol distributions between groups were compared descriptively. Differences between values within groups were evaluated using a Wilcoxon Two-Sample test for non-parametric data.

Results: Group 1 weaned piglets had a marked increase in cortisol 1h after weaning indicating increased stress and did not lower to non-weaned piglet levels by 3d after weaning (P<0.001). After transport, group 2 SD piglet cortisol levels were numerically closer to non-weaned than weaned piglet levels collected 5h after weaning and were higher than LD arrival levels (P<0.001).

Conclusions: Transporting piglets for short durations immediately after weaning may reduce total time with elevated cortisol levels compared to weaning alone. Piglets undergoing long transport multiple days after weaning may not be recovered from weaning stress at the time of transport. These findings support further investigation of proximity to weaning before transport on cumulative stress response experienced and the overall impact on piglet welfare. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Hannah Golightly","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A Meta-ontology Framework For Parameters of Animal Disease Spread Simulation Models","PresentationBio":null,"Title":"Mr.","FirstName":"Le","LastName":"Nguyen","Position":"Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":45,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives

Agent-based simulation models are characterized by a large number of parameters. Scientists are often not aware of the qualitative and quantitative differences reflected in the parameter settings of different compatible simulation models. As a result, it is very difficult to make these models work together to share the parameters’ knowledge and to compare them. We created a meta-ontology framework to capture parameter semantics and improve interoperability of parameters between different compatible models.

Material and Methods

In this work, we use a meta-ontology framework that separates domain knowledge from knowledge of specific views (reflected by simulation models) and formalizes conceptual relationships by linking to the meta-ontology structure. We use parameters of animal disease spread simulation models (NAADSM, InterSpread PLUS) as examples. We examine the state transition SIRS models for foot-and-mouth disease (FMD). A meta-ontology is created to document FMD parameter concepts in different comparable simulation models. It formalizes relationships between parameter concepts. This approach offers several advantages such as explicit domain knowledge representation and provenance, allows for the assessment and transformation of parameters with respect to domain knowledge, and assists in usage and evaluation of the models.

Results

The meta-ontology provides standard vocabularies to describe FMD parameter concepts, allows views about parameter concepts to be captured, and promotes interoperability. This is important because it establishes a neutral viewpoint which is crucial for the assessment of parameter semantics to documented domain knowledge.

Conclusion

A meta-ontology framework is essential to improve the interoperability of parameters among models. It can be used to provide a meaningful way to analyze and integrate parameters or data across multiple sources. While this work uses the domain of animal disease spread, the principles of ontological representation of model parameters are applicable to a wide range of One Health domains.

Keywords: GBADs, meta-ontology, parameters, animal disease spread, assessment
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","33998207-8c57-4717-9114-ccf9182e92bf","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Le Nguyen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Identifying optimum control strategies for sheep scab","PresentationBio":null,"Title":"Dr.","FirstName":"Emily","LastName":"Nixon","Position":"","Organization":"University of Bristol","PhotoUrl":null,"IsPresentingAuthor":false,"Order":46,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background
Psoroptic mange (sheep scab) is an infectious condition caused by the parasitic mite, Psoroptes ovis. It causes huge economic losses to the sheep scab industry worldwide (~£78-202 million per annum in Great Britain (GB)) and is an animal welfare concern. Licenced treatment strategies for scab include organophosphate dips, or macrocyclic lactone injection. Various national treatment strategies were enforced in GB after the reintroduction of scab in 1972 and yearly farm outbreaks were kept below 100, however, after 1992, when the disease was deregulated, the number of cases has increased to around 7-8 thousand.
Recent modelling work identified isolated spatial clusters of contiguous farms between which local transmission of scab occurs, and where, without long-distance movements, scab self-limits at the boundaries. It has therefore been suggested that focusing control within these clusters and on ensuring that scab infested sheep are not moving via sales and markets may be an effective means to control scab. However, until now, the epidemiological impact of this control method, or any other interventions, has not been explored, nor have the associated costs been calculated.

Objective To identify optimum control strategies for sheep scab


Material and methods: We used a stochastic metapopulation model for sheep scab, modified to include prophylactic treatment, and explored the epidemiological and economic impact of various treatment scenarios.

Results

The impact of routine prophylactic treatment on farms is low when there are no interventions to prevent the spread of scab through long distance movements and is more costly than doing nothing. National movement control is the most effective and economical strategy.

Conclusion
National movement control should be encouraged. Our model can be used to investigate similar questions in other countries and for other diseases where data are available.

Keywords: Disease control, spatial epidemiology, livestock, parasitology, modelling","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","d3066121-1fde-4a88-a77e-f435960ef4f2","7d91534a-2f2b-447f-830f-6178f301b1a3","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Emily Nixon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluation of healthcare facilities and services provided for tuberculosis and zoonotic tuberculosis in Kajiado County, Kenya","PresentationBio":null,"Title":"Mr.","FirstName":"Joel","LastName":"Zhang","Position":"","Organization":"University of Western Ontario","PhotoUrl":null,"IsPresentingAuthor":false,"Order":47,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: To evaluate current capacities, logistics, and infrastructure in place for diagnosis and treatment of tuberculosis (TB) and zoonotic tuberculosis (ZTB) within healthcare facilities located in rural Kajiado County, Kenya. Knowledge, attitudes, and practices (KAP) among healthcare workers were also explored as part of initial data collection.

Materials and methods: A questionnaire was developed and delivered by collaborators at Talaku- A Community Based Organization in Kajiado to 25 healthcare facilities. These healthcare facilities were selected purposively based upon accessibility in these remote areas of Kajiado. The questionnaire was given to three health workers at each healthcare facility during January-February, 2022. The questionnaire included twenty-six quantitative/qualitative questions regarding TB/ZTB diagnostic and treatment capacities, availabilities, and knowledge, attitudes, and practices regarding TB and ZTB among healthcare workers. Descriptive analysis including means, standard deviations, minimums, medians, maximums for continuous data, and counts and proportions for categorical data will be used to analyze the data.

Results: As of February 11, 2022, data collection was completed, and data is available from sixty-nine responders at 25 different facilities. Data formatting and cleaning is being conducted, and we plan to analyze the data between March-July, 2022. Final results will be presented at ISVEE 16 in August 2022.

Conclusions: We are confident that the data collected from these rural healthcare facilities, as well the results from the planed analysis, will positively contribute to 1) create awareness for TB and ZTB, diseases that continue to be neglected, especially in marginalized rural communities, and 2), providing new information to key local stakeholders in Kenya, thus contributing by providing key knowledge and information to guide further work towards addressing the challenges poised by TB and ZTB, and thus improve healthcare facilities services and capabilities available/provided to people in these rural and marginalized communities in Kenya.

Keywords: Tuberculosis, Zoonotic Disease, One Health
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fad4e092-eee7-46ed-b4a6-a335b0f641b7","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Joel Zhang","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quality in animal health economic studies – the need for standardised reporting","PresentationBio":null,"Title":"Dr.","FirstName":"Polly","LastName":"Compston","Position":"","Organization":"Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":48,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: endemic disease; economic methodology

Objective: Assess the quality of 64 articles identified in a systematic review that evaluated economic analyses of endemic foot-and-mouth disease, using a standardised protocol.

Methods: The quality of articles was assessed using a 42-parameter quality appraisal framework, adapted from the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement, a standardised quality assessment matrix used in human medicine. Scores produced were analysed using descriptive statistics. Blind validation by two authors was performed for nine randomly-selected papers; three of these papers were scored by all three authors. Overall scores for each paper were compared using R² values. Agreement between scorers was calculated as a percentage for each parameter in the quality assessment.

Results: Median quality score calculated was 41 (range 8-86). There was moderate correlation in scoring between two authors for nine papers (R² = 0.67). Disagreement was most common in parameters evaluating aspects of the results; agreement was seen most frequently in parameters evaluating the introduction and some aspects of methods. Across all parameters, there was 51.3% agreement between scorers. When scores from papers evaluated by the three authors were compared, for 38% of parameters total agreement was achieved; for 54% there was agreement between two scorers, and 8% there was no agreement.
Conclusion: Validation of the quality assessment tool was not perfect. Binary scoring requires additional support to be applied consistently, as the degree by which a parameter is incompletely reported within a study may contain some subjectivity. These results demonstrate the need for a quality assessment tool for economic studies in animal health. Developing and disseminating standardised definitions and protocols for peer-reviewed studies of economic impact of animal diseases is recommended to support improved estimation of their economic impacts, and support their dissemination.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Polly Compston","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Linking livestock production and human dietary health: evaluation of current approaches and potential impact of GBADs","PresentationBio":null,"Title":"Dr.","FirstName":"Grace","LastName":"Patterson","Position":"Postdoctoral Fellow","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":49,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords
Livestock; nutrition; health metrics; food systems

The Global Burden of Animal Diseases (GBADs) aims to quantify the impact of livestock production gaps on economic and human health outcomes, which is largely mediated through human diet and nutrition. However, global food systems are complex and incorporate varying production systems, flow of products between markets, accessibility within food systems, and cultural preferences. Few models fully describe this pathway. We aim to evaluate the strengths and weaknesses of existing methodologies and data, and identify gaps that GBADs’ outputs and approach could address.

A review was conducted on models describing links between livestock production and food access or health outcomes. Models identified from peer-reviewed and grey literature were evaluated for generalizability across different livestock and food systems, validity, and potential interoperability. Data sources were evaluated for coverage, reliability, and granularity. Established approaches from related fields were identified via expert consultation and evaluated for applicability.

Most studies focused on smallholder production and community-level food systems, which avoid complexities of global trade and describe only 30% of the world’s food production. Conversely, approaches describing large-scale enterprises typically considered environmental, not dietary, impacts. Most global models described the terminus of the pathway (food availability to nutrition outcomes) and relied on the same data sources. Many are well-validated and potentially interoperable with upstream models of production and trade. Unsurprisingly, more comprehensive global models provide less detail and nuance, particularly concerning livestock systems and products, indicating a gap GBADs could address.

A comprehensive understanding of the role of livestock production on human dietary health is critical to meet sustainable development goals. Existing approaches to describe aspects of this relationship should be combined, refined, and supported with improved data collection. A clear avenue exists for GBADs to improve estimates of the impact of changing global livestock outputs on health.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d12154ed-5a96-4eee-9b2d-d5985b20d3db","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":"graciethaxton","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"graciethaxton","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=graciethaxton","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=graciethaxton","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Grace Patterson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Methodological choices in brucellosis burden of disease assessment: A systematic review","PresentationBio":null,"Title":"Ms.","FirstName":"Carlotta","LastName":"Di Bari","Position":"Research Assistant","Organization":"Sciensano","PhotoUrl":null,"IsPresentingAuthor":false,"Order":50,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Foodborne and zoonotic diseases such as brucellosis present many challenges to public health and economic welfare. Researchers and public health institutes use DALYs to generate a comprehensive comparison of the population health impact of these conditions. DALY calculations, however, entail a number of methodological choices and assumptions with data gaps and uncertainties to accommodate. This review identifies existing brucellosis burden studies and analyzes their methodological choices, assumptions, and uncertainties.
Methods
A systematic search for brucellosis burden calculations was conducted in pre-selected international and grey literature databases. Using a standardized reporting framework, we evaluated each estimate on a variety of key methodological assumptions necessary to compute a DALY.
Results
Thirteen studies satisfied the inclusions criteria (human brucellosis and quantified the DALYs). One study reported estimates at the global level, the rest at national or subnational one. Most studies retrieved brucellosis epidemiological data from administrative registries. Incidence data were often estimated on the basis of laboratory-confirmed tests. Not all studies included mortality estimates (Years of Life Lost) in their assessments due to the lack of data or assumptions that brucellosis is not a fatal disease. Only two studies used a model with variable health states and disability weights. The rest used a simplified singular health state. Wide variation was seen in the duration chosen for brucellosis, ranging from 2 weeks to 4.5 years, irrespective of whether a chronic state was included. Several studies reported a detailed description of the methodological choices and assumptions used to quantify the burden of brucellosis.
Conclusion
Available brucellosis burden assessments vary widely in their methodology and assumptions. Further research is needed to better characterize the total clinical course of brucellosis and estimate case-fatality rate. Additionally, reporting of methodological choices should be improved to enhance transparency, comparability, and consistency of estimates.
Keywords: Disability-Adjusted Life Years; Methodological choices; Brucellosis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","f3a1f750-ccc7-4a27-8389-07ca6fe98821","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Carlotta Di Bari","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Investigating, developing, and evaluating institutional-level interventions to facilitate well-being within veterinary academia ","PresentationBio":null,"Title":"Miss","FirstName":"Karli","LastName":"Longthorne","Position":null,"Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/bd153ce0f9b04c00ac8dde42034812fa","IsPresentingAuthor":false,"Order":51,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Elevated levels of stress, work-related burnout, and depression have been described in both the veterinary profession and academic institutions. Research from several countries focuses on how occupational and psychosocial stressors are linked to poor mental health outcomes; however, comparatively less research offers evidenced-based solutions to increase well-being in veterinary academia. Gaining insight into the perceived needs of employees at veterinary academic institutions with respect to well-being programming has the potential to reduce ill-being effects on the individuals themselves, while also mitigating downstream effects that have been observed with poor mental health of physicians: negative consequences for employee and student engagement and retention; decreased client adherence and satisfaction; and decreased patient safety and increased patient mortality.

To inform tailored interventions, 28 in-depth one-on-one interviews were conducted with employees (i.e., staff, faculty, interns, and residents) working at the Ontario Veterinary College (OVC) at the University of Guelph between April and June 2021. The interviews were audio-recorded and transcribed verbatim. Thematic analyses are being employed to illuminate the themes that characterize OVC employees’ perceived well-being needs, and the types of resources to address them. Furthermore, focus groups are being used to gain additional insights on recommendations and to develop one or more intervention(s) as recommended by participants. The longitudinal effectiveness of these intervention(s) will be evaluated using pre- and post-intervention surveys.

We anticipate in-depth insights into employees’ work-related stressors, their challenges with existing well-being supports, and specific suggestions to improve well-being at the OVC.

This novel study will investigate and address ill-being at a veterinary academic institutional level. The results will provide tailored and actionable well-being interventions for the OVC, and potentially similar veterinary academic institutions.

Keywords: veterinarian, mental health, well-being, stressors, intervention ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","1431029c-0cdf-4ff9-912e-8fee50ef8438","02f86f29-9eae-4d8d-b937-84e31f38e74d"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Karli Longthorne","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Investigating the efficacy of Ovipast Plus® vaccine in reducing mortality and pneumonia-associated mortality in pre-weaned lambs","PresentationBio":null,"Title":"Miss","FirstName":"Megan","LastName":"Gardner","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":52,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective:

To assess the efficacy of the Ovipast Plus® bacterin to reduce mortality and pneumonia-associated mortality in pre-weaned lambs via passive immunity by vaccinating ewes twice during pregnancy compared to lambs born to a non-vaccinated comparable group of ewes

Materials and methods:

This study was conducted on one farm of ~ 9600 ewes using a 2-arm, parallel randomized control trial study design. Sample size was determined to be 3333 ewes in each intervention group. This number is based on needing 5295 lambs in each group to detect a reduction in overall mortality from 4% to 3% (type I error of 5%, power of 20%) with each ewe weaning ~1.7 lambs.

Ewes were enrolled weekly (~260-300), systematically randomized, and received either the Ovipast Plus® bacterin (Merck) or the negative control at approximately 6 and 2 weeks before their lambing dates. After their second booster, the ewes were housed according to vaccine status. The barn staff were blinded to the intervention and provided lamb health checks and treatments. The main researcher (MG) administered the vaccine and conducted the postmortems on-farm.

To assess vaccine effect, pen-level mortality and pneumonia-associated mortality will be analyzed using logistical regression with pen as a random effect. Average daily gain at weaning, will be investigated as a secondary outcome using mixed model linear regression.

Results:

To date, a total of 2764 ewes have been enrolled into the trial and a total of 1220 lambs have been born with an overall mortality rate of 5%. The leading cause of death are starvation and scours respectively. The last lamb on the trial will be weaned in April of 2022.

Conclusion:

Final results and conclusions to be available in July, 2022.

Key words: lamb, pneumonia, vaccine, feedlot, mortality
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["21c6493c-d758-4b04-ada0-31630a7d6827","7d91534a-2f2b-447f-830f-6178f301b1a3","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Megan Gardner","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluation frameworks applicable to One Health surveillance systems for antimicrobial resistance and infectious diseases","PresentationBio":null,"Title":"Ms.","FirstName":"Sarah","LastName":"Mediouni","Position":"PhD candidate/ Research assistant","Organization":"University of Montreal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":53,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background and objective: Antimicrobial resistance (AMR) is already a leading cause of morbidity and mortality worldwide, and the burden is expected to increase. Integrated surveillance has been highlighted as one of the key components of effective control strategies. The objective of this study was to review evaluation tools and frameworks applicable to integrated surveillance systems for AMR and infectious diseases and to describe their use.

Material and methods: A systematic review was conducted following the PRISMA guidelines. Eligible articles either presented an evaluation tool or framework for integrated surveillance systems (methodological papers) or reported results of an evaluation (case studies). Information about the scope and type of evaluation, evaluation attributes (e.g. effectiveness, organization, value), level of One Health integration, and the main results of evaluation if relevant, were extracted and analyzed.

Results: Of 2194 articles identified through the literature search, 17 studies were eligible for data extraction: 9 presented a tool or framework of evaluation and 8 reported evaluation results. Three main types of evaluation were identified, namely theoretical, process and impact evaluation. Both methodological and case study papers predominantly assessed organizational and operational attributes and only one tool encompassed the three types of evaluation. Although costs and/or benefits were discussed in some studies, only one conducted an economic analysis. Most papers discussed infectious disease surveillance; AMR was the target of only one.

Conclusion: Most evaluation frameworks do not account for the complexity of integrated surveillance systems. The lack of common metrics and indicators across sectors was highlighted as a gap especially in studies evaluating the impacts of integrated surveillance. This calls for the use and validation of more appropriate methodology for the evaluation of integrated surveillance systems.

Keywords: One health, integrated surveillance, evaluation, methods, systematic review
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","9f2295d7-194f-44de-9cea-8eb77d958e64","0c879798-e821-4cff-bf7e-791d4b78ec7f","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Sarah Mediouni","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The effect of removing arrival metaphylaxis on the pre-harvest beef value chain","PresentationBio":null,"Title":"Dr.","FirstName":"David","LastName":"Smith","Position":"","Organization":"Mississippi State University College of Veterinary Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":55,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction:
In the US and Canada, it is common to mass-treat cattle considered to be high-risk for developing bovine respiratory disease (BRD) with antimicrobials as they arrive at growing (stocker/backgrounder) or finishing (feedlot) systems. This approach to controlling BRD might lead to selection of antimicrobial resistant strains of BRD pathogens which may present a hazard to cattle or human health.

Objective:
The objective of this study was to use stock and flow value-chain models to understand how cattle markets might respond to various antimicrobial-use policies based on profitability.

Materials and Methods:
Vensim Personal Learning Edition, by Ventana Systems Inc., was used to develop causal loop diagrams and stock and flow value-chain models. Metaphylaxis and incentives for not using antimicrobials were tested within each sector of the beef chain to compare how the market might respond if metaphylaxis was used or not used in certain sectors or across the cattle feeding industry.

Results:
If metaphylaxis was used, there was a higher count of high-risk calves in the system which were more likely to move directly to the finishing feedlot. Removing arrival metaphylaxis and adding a 5% incentive for calves not treated with antimicrobial increased the number of low-risk calves relative to high risk. Feedlots then preferred low-risk calves. If metaphylaxis was only permitted at the backgrounder stage, more high-risk calves moved towards backgrounding operations.

Conclusions:
Policies restricting metaphylactic use of antimicrobials might lead to important shifts in beef production sectors. Smaller cow-calf herds, which produce the most high-risk cattle, might be most affected.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. David Smith","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The adaptation of Canadians to ticks and Lyme disease may lead to negative mental health and social outcomes.","PresentationBio":null,"Title":"Ms.","FirstName":"Natasha","LastName":"Bowser","Position":"PhD student","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":56,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Lyme disease (LD) is the most frequently reported tick-borne disease in Canada. New and expanding tick populations have been attributed to climate change and dispersal by migrating birds, while the risk of human-tick contact increases with urbanization and fragmentation of tick habitats. Tick-bite preventive behaviors remain the most effective way to prevent LD yet are not always adopted by at-risk individuals.

The objectives for this study were twofold: i) to understand the facilitators and barriers to adopting tick-bite preventive behaviors for at-risk individuals, and ii) to explore whether adverse or unhealthy behaviors are developing in response to the presence of ticks and LD.

Individuals living in LD endemic regions were recruited through various social media platforms (including governmental and health authority) to participate in virtual focus groups. In total, 96 individuals participated in 22 focus groups across five provinces of Canada (BC, MB, ON, QC and NS) from October 2021 to January 2022. Thematic analysis was performed on the transcribed discussions utilizing the COM-B model of behavior change.

Reported facilitators of preventive behaviors included awareness of LD symptoms, tick removal tools and social prompts. Reported barriers included wanting to feel free in nature and concern over the use of acaricides and antibiotics. Perceived access to healthcare was considered both a motivator and barrier. For many individuals, living in a LD endemic region was found to negatively impact mental health, change how they recreate outside and/or disrupt family and social dynamics.

Canadians are adapting to the presence of ticks and LD; however, these adaptations are not always applied consistently or positive. This study provides first evidence of the non-clinical impacts of ticks and LD on the behaviors of individuals living in endemic regions across Canada and offers potential targets for future preventive interventions against tick-bites.

Keywords: Lyme disease, behavioral adaptation, impacts
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Natasha Bowser","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The Diffusion Metrics of African Swine Fever in Wild Boar","PresentationBio":null,"Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Organization":"Friedrich-Loeffler-Institut","PhotoUrl":null,"IsPresentingAuthor":false,"Order":57,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
It was our objective to define interpretable metrics for the spatial dynamics of African Swine Fever (ASF) spread in wild boar. These metrics had to be based on real outbreak data and yield the affected area over time and the velocity of the epidemic wave front to support disease control efforts.

Materials and methods
We hypothesized that the spread pattern of ASF cases in wild boar follows the mechanics of a diffusion process, at least early on after disease incursion. By integrating real case data from Germany, we derived statistics about the time differences and distances between consecutive case reports. With these statistics, we generated an ensemble of random walkers (continuous time random walks, CTRW) to examine disease spread dynamics in distinct case clusters.

Results
Here we found, that the resulting random walker ensemble indeed resembled the properties of the observed outbreak pattern as one probable realization of all possible disease dissemination patterns. (The attached Figure shows outbreak data vs. data generated by a trained random walker). This allowed us to derive the diffusion constant, the affected area, and the outbreak velocity of early ASF spread in wild boar.

Conclusion
The observed diffusion constants were robust and followed a universal law when measured in regions with similar control measures and landscape. Therefore, these metrics appear to be generally applicable and useful spatial descriptors of early disease dynamics.

Literature
Lentz, et al. \"The Diffusion Metrics of African Swine Fever in Wild Boar.\" arXiv preprint:2202.01558 (2022).","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/324fbe21f1ae4fa884996a0ce5c60da6","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","3c633f59-5da2-4213-a804-5e21f6f27422","76c84259-9a28-4ba9-a370-db4b00031911","40011888-980a-402c-868e-27ff2aacbc1b","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","3c19c60b-bf2c-4701-b93e-3b18208e3913","0c901ec5-8189-459e-b859-afcfb8a96f9b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Carola Sauter-Louis","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Impacts of COVID-19 on Canadian farmers' mental health","PresentationBio":null,"Title":"Miss","FirstName":"Rochelle","LastName":"Thompson","Position":"Msc Student - Epidemiology","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":57,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The Coronavirus Disease 2019 (COVID-19) pandemic is impacting Canadians’ mental health, and rates of mental health help-seeking have risen. Canadian farmers faced higher levels of mental distress prior to COVID-19 and are less likely to seek help; however, the mental health impacts of COVID-19 on Canadian farmers remain unexplored.

Objective: To investigate the impacts of COVID-19 on Canadian farmers’ mental health.

Materials and Methods: We conducted a national, online, cross-sectional survey of Canadian farmers (February - May 2021). The questionnaire included validated scales of generalized anxiety disorder (GAD-7), major depressive disorder (PHQ-9), alcohol use disorder (AUDIT), perceived stress (PSS), burnout (MBI), and resilience (CD-RISC), and perceived changes in these outcomes during the pandemic. Data were also collected on the impact of COVID-19 specific social and economic factors on mental health, help-seeking, and sense of community belonging through the pandemic. Descriptive statistics were summarized and Chi-square analyses were conducted to compare survey results to normative population data.

Results: 1,181 farmers participated in the survey. Preliminary analyses reveal concerning scores for the GAD-7, PHQ-9, AUDIT, PSS, and MBI, and two-thirds of participants with moderate to severe scores reported worsening symptoms and/or increased alcohol use. One-fifth of participants sought mental health support. Farmers rated the mental health impacts of all social and economic factors related to COVID-19 examined significantly (p<0.05) differently than the Canadian public. Farmers rated going outside (69%) and pets (56%) as the most positive impacts and social isolation (65%) and daily COVID-19 news (78%) as the most negative impacts on their mental health.

Conclusion: The COVID-19 pandemic has negatively impacted Canadian farmers’ mental health and in ways that differ from the general population. Specific prevalence estimates for the mental health outcomes studied and implications for policymakers, mental health professionals, and farmers will be presented.

Keywords: mental health, farmer, COVID-19, one-health
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438","cb344d68-5710-46be-a916-dd122f96ab66","1304e690-d6da-410b-9c6d-a8c1adf431e9","7f76020c-d489-4456-9d83-b398a3eb966f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Rochelle Thompson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatial analysis of classical swine fever in wild boar in Japan 2018-2020 using a Bayesian spatiotemporal model","PresentationBio":null,"Title":"Dr.","FirstName":"Yoko","LastName":"Hayama","Position":"Senior Researcher","Organization":"National Institute of Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":58,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives
Classical swine fever (CSF) re-emerged in September 2018 in Gifu Prefecture, central Japan, and has spread in the wild boar population in the country. Oral mass vaccination has been implemented since March 2019 to prevent the spread of CSF in wild boar. Transmission of CSF in wild boar is complexly associated with ecological, geographic, and human factors, including hunting and oral vaccination. In this study, we investigated the spatial factors associated with CSF infection in wild boar.

2. Materials and methods
Surveillance data for wild boar in Gifu Prefecture, including 3,146 animals collected between September 2018 and March 2020, and geospatial features (i.e., land cover and elevation, etc.) were analyzed for the periods before and after the oral vaccination program. A Bayesian spatiotemporal model, which allows analysis of spatial and temporal trends of the disease spread, was applied.

3. Results
In the pre-vaccination period, wild boar found dead and CSF prevalence in wild boar within a 10-km radius had a positive effect on CSF infection in wild boar. Land areas containing villages, evergreen needle-leaf forest, and deciduous broadleaf forest were positively associated with CSF infection. In the post-vaccination period, wild boar found dead and CSF prevalence in wild boar within a 10-km radius had a positive effect on CSF infection. The proportion of immunized wild boar within a 10-km radius was negatively associated with CSF infection.

4. Conclusion
The prevalence of CSF and the amount of forest cover are key factors affecting CSF infection in wild boar. Immunized population after the oral vaccination seems to have reduced the risk of CSF infection. This study helps our understanding of the spatial characteristics of CSF spread in wild boar and may aid in the development of preventive measures for both wild boar and domestic pigs.

keywords: CSF, wild boar, Japan","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a424daba-5d1a-4f4a-9bf5-d16c5f51514c","76c84259-9a28-4ba9-a370-db4b00031911"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Yoko Hayama","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Performance evaluation and validation of air samplers to detect aerosolized Coxiella burnetii","PresentationBio":null,"Title":"Dr.","FirstName":"Hasanthi Abeykoon","LastName":"Abeykoon Mudiyanselage","Position":"Graduate Student","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/120b5202f42c48feb2f0ed58b0a334ae","IsPresentingAuthor":false,"Order":59,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Coxiella burnetii, Q fever, air sampler, Limit of Detection, Limit of Quantification

Coxiella burnetii is the causative agent of Q fever. It is a zoonotic disease transmitted by inhalation of as little as a single bacterium and can be fatal if left untreated. Therefore, knowing if and how abundantly C. burnetii are present in air around putative sources such as infected farms or abattoirs is important. The objective of this study was to evaluate and validate three air samplers (AirPort MD8, BioSampler and Coriolis micro) for their ability to detect a range of concentrations of aerosolized C. burnetii; the time and duration of sampling; and ease of operation in the field.

High, intermediate, and low C. burnetii concentrations were nebulized into a testing chamber placed inside a Class II biosafety cabinet. The devices sampled 500 Litres of air in replicate (n=6). The two liquid impingers were tested with phosphate buffered saline (PBS) and alkaline polyethylene glycol (aPEG). All starting suspensions and air samples were tested with com1 and IS1111 qPCR. The com1 qPCR was validated for three substrates (PBS, aPEG, and dissolved gelatine) used in this study.

Performance of all air samplers was mostly similar across the concentrations tested. AirPort demonstrated the highest recovery at high contamination; however, there was considerable variance in detected concentrations. Even though the BioSampler and Coriolis had lower recovery probabilities, their replicates demonstrated higher repeatability. At low and intermediate contamination, detection and quantification was hindered by the limits of detection and quantification of the qPCR assay. The AirPort sampler had consistently higher recovery probabilities and ease of handling.

This first study of validating air samplers for detection of airborne C. burnetii observed that while all samplers performed well, their performance was not equal. It is recommended to further support these results under field conditions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","8fc4d524-a96c-44ab-af7e-21be4a6db35f","b838af4f-bddf-4b1b-84d6-642a51a831fd","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Hasanthi Abeykoon Abeykoon Mudiyanselage","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Biosecurity Profiles of Beef Cattle Producer Types in Oklahoma","PresentationBio":null,"Title":"Dr.","FirstName":"Amy","LastName":"Hagerman","Position":"Assistant Professor","Organization":"Oklahoma State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":60,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Biosecurity plays an important role in protecting the health of cattle herds. Even simple health protection practices can reduce the likelihood of losses from common diseases and foreign animal diseases. This study addresses biosecurity understanding among cow-calf producers, biosecurity practices producers commonly adopt, and barriers to biosecurity practice adoption.

Materials and Methods: A questionnaire was developed including: operation characteristics; management, marketing and biosecurity practices; disease knowledge; common information sources; and demographics. A contractual partnership with the United States Department of Agriculture National Agricultural Statistics Service was used to survey a representative sample of cow-calf producers in Oklahoma. Data collection is ongoing. There are over 1600 viable responses to date. Cluster analysis will be used to identify typologies of cattle producers in Oklahoma.

Results: Survey data collection will be complete by March, 2022. Comments received thus far indicate that most cow-calf producers participate in biosecurity practices, but often do not consider them as such. Rather, practices were considered good production practices. However, there are some biosecurity aspects that pasture-based producers do not believe apply to them as compared to confinement operations. The presentation would (1) identify baseline biosecurity practices that are currently utilized; (2) cluster production and marketing practices by biosecurity adoption levels to create typological profiles; and (3) identify ways that baseline biosecurity practices can be rapidly enhanced in the event of a foreign animal disease outbreak.

Conclusions: Adoption of readily available biosecurity guidelines among pasture-based cow-calf producers is often limited. Previous studies have done little to link biosecurity adoption to herd management and marketing practices. This study offers unique insight into why certain practices are adopted and others are not. The typologies created will allow targeted education efforts and identify cow-calf producer types that may be most vulnerable to disease losses.

Keywords: Biosecurity; Beef Cattle; Cluster Analysis; Typology.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Amy Hagerman","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Knowledge, Attitudes, and Practices regarding Antimicrobial Use, Resistance, and Stewardship among Human and Animal Health Stakeholders and the General Public in Africa","PresentationBio":null,"Title":"Ms.","FirstName":"Jessica","LastName":"Craig","Position":null,"Organization":"Purdue University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/15ce65467dba4342bd0ba2f530fb66b6","IsPresentingAuthor":false,"Order":61,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives

Antimicrobial resistance (AMR) is an emerging one-health challenge. Insufficient awareness and knowledge of AMR and antimicrobial stewardship (AMS) may, in part, drive AMR. There is a relatively small evidence base describing knowledge, attitudes, and practices (KAP) of/towards AMR and its drivers. Our objective was to summarize KAP among key stakeholder groups in Africa to identify key gaps and challenges and inform policy, investment, and mitigation activities.

Materials & Methods

We developed and are disseminating KAP surveys among stakeholder groups involved in antimicrobial use (AMU) in Africa. These include human and animal health providers, chief veterinary officers, farmers and livestock owners, and the general public. Surveys take approximately 8-13 minutes to complete and include both closed and open responses, multiple choice, true/false, and likert scale question types. National surveying is being conducted in 55 African Union (AU) member states with targeted subnational surveying in 14 countries. Surveys were translated into AU official languages (Arabic, English, French, Spanish, and Portuguese) and are being disseminated through in-person, web-based, and computer-assisted telephone interviewing methodologies leveraging existing AU networks through which key national and facility- or community-level focal persons oversee surveying in specific communities. Sampling methodologies varied by stakeholder group and included snowball sampling and randomized phone number generation or household surveying. Descriptive, bivariate, and multivariate statistical analyses will be conducted using regression models to summarize KAP amongst Different groups and explore the risk factors for sub-optimal KAP. We will discuss the potential impact of bias caused by different sampling strategies.

Results

Data collection activities are ongoing in collaboration with the AU Taskforce on AMR; preliminary and full results are expected by April and May 2022, respectively.

Conclusion

To our knowledge, this is the most comprehensive survey regarding AMU and AMR in Africa to date.

Keywords: Antimicrobial resistance; antimicrobial stewardship; Africa; knowledge, attitudes, practices ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","0c879798-e821-4cff-bf7e-791d4b78ec7f","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","07442f92-20d6-40eb-b297-c4897bc5781e","43f42602-f380-4a8a-9da3-ce05b383dc09","fad4e092-eee7-46ed-b4a6-a335b0f641b7","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Jessica Craig","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Parameters associated with piglet survival and growth until slaughter","PresentationBio":null,"Title":"Mrs.","FirstName":"Minna","LastName":"Kujala-Wirth","Position":"Clinical Teacher","Organization":"University of Helsinki","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a089ad87aba942b1acc2d17997f1d247","IsPresentingAuthor":false,"Order":62,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"keywords: pig, survival, growth, weight, sex

Objective
We aimed to investigate the association of parameters such as piglet weight, sex, medication and sow parity with piglet growth and survival.
Material and methods
Altogether 3993 piglets were born in 5 farms and moved to 9 finishing farms at the age of 10 weeks. Researchers checked them five times: 0-7 days after birth, where also their sex and weight was recorded (weight at day 4 calculated, W4), and thereafter at regular intervals until slaughter. A total of 2095 pigs lost their ear tags, and were treated as censored at the last observed time point. Mortality during the observation periods was investigated by a discrete time survival analysis. Piglet growth for 1197 pigs with known birth and slaughter dates was analysed by a linear model. The multivariable survival and growth models also accounted for farm effects. Collinearity among predictors and linearity of the continuous predictors were evaluated.
Results
For the discrete time survival analysis, there were 3508 pigs present at the first checkpoint. Medium sized piglets (W4 1-1.5 kg) had 1.7 times and large piglets (W4>1.5kg) 4 times higher odds of survival through an observation period than small piglets (W4<1 kg). Barrows and medicated suckling piglets were both 1.8 times more likely to die compared to female or non-medicated piglets. The largest mortality occurred before weaning. The average lifetime for dying piglets was 11 days (IQ 3-12). Piglets born to sows (parity >=2), piglets with large W4, and barrows surviving until slaughter grew 29, 75-122 and 14g/d better than piglets born to gilts, with low W4 and female piglets, respectively.
Conclusion
The weight at day 4 and the sex of the pig have large impacts on its survival and growth until slaughter.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","cb344d68-5710-46be-a916-dd122f96ab66","df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Minna Kujala-Wirth","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing AMR in fish pathogens: are we there yet?","PresentationBio":null,"Title":"Dr.","FirstName":"Julio","LastName":"Alvarez","Position":"","Organization":"VISAVET, Universidad Complutense","PhotoUrl":null,"IsPresentingAuthor":false,"Order":63,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Antimicrobial resistance (AMR) is major example of the need for a One Health approach given its simultaneous impact on human, animal and environmental health. Major efforts have been invested to characterize the AMR situation in humans and animals, typically with a focus on zoonotic pathogens; comparatively, less information is available for non-zoonotic animal pathogens, and the situation is particularly dire in the case of AMR in fish bacteria due to the existence of major limitations in available methodologies and persistent knowledge gaps. Here, we describe the process followed and the results generated in response to a request from the European Commission to provide a global state of play regarding AMR in in aquatic animals, and to identify the most relevant resistant pathogens for the EU.

The assessment was limited to kept fish species of major economic relevance worldwide (Atlantic salmon, carp, rainbow trout, sea bream and tilapia) and to bacterial pathogens for which standardized methods and internationally harmonized interpretative criteria were available (Aeromonas hydrophila, A. salmonicida, Flavobacterium columnare, and F.psychrophilum). An extensive literature review to retrieve scientific articles and reports providing AMR data on clinical isolates was conducted, and expert opinion was used to assess the relevance of AMR in the four pathogens.

Although AMR F. psychrophilum and A. hydrophila were identified as more relevant, very few studies of sufficient quality were retrieved for all bacterial species, leading to a very large uncertainty in the identification of the most relevant AMR pathogens for the EU. Among the main issues identified were the use of modified methodologies and ad-hoc breakpoints for interpretation of the AMR results.

It is of paramount importance to highlight limitations of previous studies and generate high quality data that can help to update this assessment and make it extensible to other major pathogens affecting aquatic animals. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0bb275db-dbe0-42d7-abe1-4ccfc61191ed","8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f","32b9e4fa-3def-4467-8cec-52826aa2104d"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Julio Alvarez","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"EnterVetIS, an Information System for the surveillance of Salmonella from non-human sources in Italy.","PresentationBio":null,"Title":"Mr.","FirstName":"Matteo","LastName":"Mazzucato","Position":null,"Organization":"Istituto Zooprofilattico Sperimentale delle Venezie","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9809678964b64e819bb372bc2a83c416","IsPresentingAuthor":false,"Order":64,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objective(s)
Salmonella is one of the main causes of foodborne illnesses worldwide and the collection of data on serovars distribution from non-human sources is of paramount importance in order to identify potential sources of infection and set up effective control measures.
Besides to the mandatory data collection on zoonoses and zoonotic agents in the framework of Directive 2003/99/EC, national surveillance activities have crucial roles in highlighting relevant local scenarios that deserves the definition of specific control plans.
Hereby the Information System(IS), used to guarantee a continuous data collection on Salmonella surveillance, is discussed and described in its organisational and technological aspects.

2. Materials and methods
Enter-Vet is a surveillance system that relies on the collaboration of laboratories belonging to the Italian network of ten laboratories of the Istituti Zooprofilattici Sperimentali. Due to the geographical locations of the laboratories, the different IT organisations and infrastructures, a dedicated IS (EnterVetIS).
The technological component consists on data (both metadata and analytical results) and application. PostGreSQL database technologies are used to stored data. HTML, JavaScript and PHP are used to develop the web application. Reports are generated with the Qlik Sense dashboard engine.

3. Results
Data are daily updated via a user-friendly web application with specific functionalities. Information can be visualised and summarised in different ways thanks to the Qlik Sense reports organised in dashboards.
Since July 2017, approximatively 19,000 Salmonella strains have been recorded.

4. Conclusion
Despite limitations related to non-mandatory participation of laboratories in EnterVetIS, a constant amount of data are recorded each year and available for local/national and European scientific assessment. In particular a pre-defined output is routinely sent to EFSA within the Molecular Typing Project and thanks to EnterVetIS, the NRL-Salmonella may rapidly respond to epidemiological questions raised both by national and international Competent Authorities.

Keywords: IS, Salmonella, Monitoring","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Matteo Mazzucato","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling antimicrobial-resistant Campylobacter spp. in broiler chicken in Canada using an integrated assessment model","PresentationBio":null,"Title":"Ms.","FirstName":"Dana","LastName":"Tschritter","Position":"","Organization":"University of Alberta","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c0a40a68c2a34bab99cb371e6c53f5f5","IsPresentingAuthor":false,"Order":65,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Campylobacter spp., commonly detected in poultry, are the third most common cause of foodborne illness in Canada. Campylobacter are known to be resistant to antimicrobials important to human health. With Canadian agri-food surveillance reporting recovery rates of 35% of Campylobacter in retail broiler chicken, it is important to determine the risk of infection with antimicrobial-resistant Campylobacter for the consumer. To understand and quantify the risk of antimicrobial resistance in Canada, the Canadian Integrated Program for Antimicrobial Resistance Surveillance employed an integrated assessment model. Our objective was to describe factors related to fluoroquinolone, macrolide and tetracycline-resistant Campylobacter in broiler chicken in Canada and determine the probability of exposure from farm to retail using this integrated assessment model.

A comprehensive literature search synthesized the available, globally published literature on factors associated with antimicrobial resistance in Campylobacter in broiler chicken. Data extraction consisted of characteristics of the study, the study population, and a description of and results for factor(s) investigated. Models were built in Analytica using baseline surveillance data, odds ratios of factors, frequencies of factors, and consumer data.

The search identified 7,344 de-duplicated articles and 15 articles were included in the qualitative synthesis. Identified factors included management practices, antimicrobial use, chilling type, and packaging type. Factors were allocated at three stages of production: farm, abattoir, and retail. While factors were limited, two scenarios were tested against a baseline scenario to investigate:
1.\tHow the Canadian context influences exposure to antimicrobial-resistant Campylobacter
2.\tHow the inclusion of fluoroquinolone use influences exposure to antimicrobial-resistant Campylobacter

The review and model mapped current literature investigating factors related to antimicrobial-resistant Campylobacter in broiler chicken in Canada. The results identified key research gaps and will contribute to a national integrated assessment model for antimicrobial resistance.

antimicrobial resistance
broiler chicken
integrated assessment model
One Health
Campylobacter","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","e38fdbff-06ce-4925-a92e-8faaaf3278a6","0c879798-e821-4cff-bf7e-791d4b78ec7f","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Dana Tschritter","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"EVALUATION OF A PARTICIPATORY PROCESS TO SUPPORT THE CO-DEVELOPMENT OF AN INTEGRATED SURVEILLANCE SYSTEM FOR ANTHRAX IN BUKINA FASO","PresentationBio":null,"Title":"Dr.","FirstName":"Marion","LastName":"Bordier","Position":"","Organization":"CIRAD","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/748c8da30d0a497ab662e92d01b31275","IsPresentingAuthor":false,"Order":66,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Participatory approaches are increasingly used during policy development to improve stakeholder ownership and compliance. This is particularly the case for integrated surveillance systems (ISS), which require reconciling the expectations and values of a wide range of stakeholders. However, there is a lack of evidence on the impact of such approaches. In this context, we developed and applied a framework to evaluate a participatory process that supports the development of an ISS, using the case study of anthrax in Burkina Faso.
Materials and Methods
The evaluation attributes were identified by conducting a literature review of (i) existing frameworks for the evaluation of public policies and surveillance systems, and (ii) the expected benefits of participatory approaches.. For each attribute, criteria were identified to enable their evaluation. Methods were then defined for measuring these criteria. Finally, the framework was validated by a panel of experts and applied in Burkina Faso.
Results
The framework includes 13 attributes that are classified into 3 categories: quality of the system produced by the participatory process, impact of the process on the participants, and benefits perceived by participants. Each attribute is assessed using from 3 to 5 criteria. Its application to anthrax surveillance in Burkina Faso showed that the participatory process led to the identification of well-adapted and accepted surveillance modalities. Participants improved their knowledge and mutual understanding. Most of them recognised the value of such an approach in moving towards a relevant and sustainable ISS.
Conclusion
The evaluation framework has proved to be efficient to evaluate the impacts of the participatory process. However, long-term impacts (e.g., performance of the system and capacities of actors) will require a longer timeframe for their evaluation. The framework also allows to identify weaknesses of the process and bias in the outputs produced, such as the power unbalance among participants.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","b838af4f-bddf-4b1b-84d6-642a51a831fd","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Marion Bordier","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A network sampling approach to assess the dynamics of pathogens in livestock systems","PresentationBio":null,"Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7399650c1a0c4da0a3acc11bbbb5be70","IsPresentingAuthor":false,"Order":67,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Although it is widely acknowledged that the structure of livestock Production and Distribution Networks (PDNs) is an important determinant of diseases dynamics, studies providing empirical evidence are scarce and often challenging to implement. We aimed to develop a standardized methodology to characterize PDNs and randomly sample nodes along them. It was applied to chicken PDNs in Bangladesh, Vietnam and India (Tamil Nadu and Gujarat states).

PDNs refer to all actors involved in the production and distribution of chickens and their interactions. First, PDNs were identified and qualitatively mapped based on existing data and key informant interviews. PDNs were then selected based on their epidemiological relevance. According to data availability, endpoints (shops, markets, slaugtherhouses) were selected through random spatial sampling in India and stratified random sampling in Bangladesh and Vietnam. Structured link-tracing interviews were conducted in selected endpoints to identify suppliers, who were then interviewed until “distribution chains” were traced back to the production farmers.

Nine PDNs were selected. A total of 222 endpoints were surveyed and 1,299 actors interviewed. This sampling approach allowed us to characterize the configurations of PDNs, spatial distribution and interconnections. We were able to identify PDN nodes where viral amplification and mixing may be more likely, to be targeted in subsequent biological studies.

Link-tracing studies can provide a cost-effective way of investigating complex systems, without having to describe the entire networks. Identification of endpoints, catching areas and their linkages will inform the design of subsequent epidemiological investigations within PDNs.

Keywords: Networks, Sampling, Link-Tracing, Poultry, Infectious diseases","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e5897eed98d64095900e03a22f53a7fc","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","9f2295d7-194f-44de-9cea-8eb77d958e64","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Anne Conan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The risk associated with the variability of endogenous and exogenous factors on toxigenic Aspergillus species in broiler feed","PresentationBio":null,"Title":"Ms.","FirstName":"Kgomotso Galian","LastName":"Setsetse","Position":"PhD candidate","Organization":"North West University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a09576e80a7e4c619d2c299443806de4","IsPresentingAuthor":false,"Order":68,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background of the study.
In South Africa, few studies on mycotoxins in poultry feed are reported (FAO,2012). The nature and presence of mycotoxins in South African animal feed should be an ongoing matter since some of these mycotoxins are found in animal products from animals that consume feeds contaminated with mycotoxins. Despite an increased interest in mycotoxins contamination and their health effects, only a few studies covered the scope of Mycobiota and mycotoxins in poultry feed in the country (Dutton et al., 2012). The situation of poultry feeds contamination by mycotoxins has an imminent potential to negatively affect poultry health and performance (Palumbo et al., 2008). Hence the study's objectives were as follows;
1. Isolated and molecularly characterize Aspergillus species in different broiler feed under changing environmental conditions (temperature and humidity) and proximate compositions.
2. Investigate the toxigenicity of the isolated Aspergillus species in broiler feed under changing environmental conditions using different chromatographic techniques (TLC, HPLC, and LCMS)
3. Determined the riskiest point of broiler feeding to fungi and mycotoxins under changing environmental conditions.

The study was done at the North-West University (Mafikeng Campus), Department of Animal Health laboratory, and analysis of masked mycotoxin (LCMS/MS) was carried out at Ghent University (Belgium).
The study had two phases, the (Phase I) was to screen for Aspergillus species in poultry feed samples, and then (Phase II) involved the inoculation of the toxigenic strain of Aspergillus spp. (Aspergillus flavus) in broiler feeds (Starter, Grower, and finisher). The effect of environmental factors such as temperature (12°C, 20°C, 25°C, 34°C, 41°C) and humidity (10 %, 12%, 13%, 14%, 15%) was monitored and assessed, in order to understand the behavior and growth of Aspergillus flavus in feeds and its effect on nutritional quality and toxigenicity of the inoculated broiler, feeds.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","6d2507a9-e756-4ab4-ae03-e679e391c7e6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Kgomotso Galian Setsetse","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Setting the Boundaries: Estimating the Animal Health Loss Envelope for the English and Welsh Dairy Sectors","PresentationBio":null,"Title":"Mr.","FirstName":"Joao","LastName":"Sucena Afonso","Position":"Analyst","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cd0cb371eae840129eb51cee3fb915a9","IsPresentingAuthor":false,"Order":69,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The aim was to estimate the production gap – difference between the current performance from its perceived potential – and health expenditure for the English and Welsh dairy sectors, designated as the Animal Health Loss Envelope (AHLE) with the intent to:
•\testablish boundaries to losses and expenditure from all-causes (so that the sum of the economic impact from the different single sources does not exceed the economic impact from all-causes), and
•\tprovide a framework for the appraisal of the contribution of single-cause sources to the system’s inefficiencies aiding animal health and welfare governance at different levels.

Materials and Methods: The AHLE was estimated by comparing current dairy herd economic performance against a ‘utopian’ population. A deterministic farm enterprise budget model was created in Microsoft Excel. Agriculture and Horticulture Development Board data informed the model. Three production systems were considered: all-year-round calving, spring-calving and autumn-calving. Each have tertile-based performance levels (top, middle, bottom) from which distinct “Utopias” were created by increasing the proportion of animals in higher performance levels, and reducing mortality and veterinary costs to zero. A sensitivity analysis was conducted to assess the impact of milk price and economies of scale.

Results: The AHLE for the English and Welsh dairy-sectors was estimated at £318,112,460; £551,826,235, and £628,956,489 for Utopias 1, 2 and 3, respectively. Inefficiencies from all health and non-health-related causes in these dairy systems ranged from £318 million to £629 million. The sensitivity analysis indicated that the model was sensible to milk price and to the effect of economies of scale.

Conclusions: This loss assessment process describes an analytical framework providing the grounds for better understanding of the relative contribution of each different source to the system’s inefficiencies, aiding decision-making on animal health management.

Key words: Animal Health Loss Envelope, Dairy, Cattle, UK, Inefficiency, Losses ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jotafonso","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jotafonso","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jotafonso","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/jotafonso","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Joao Sucena Afonso","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Examining the social construction of farmers’ antimicrobial stewardship knowledge: Roles, realities and reflection","PresentationBio":null,"Title":"Mrs.","FirstName":"Charlotte","LastName":"Doidge","Position":"Research Fellow","Organization":"School of Veterinary Medicine and Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":70,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives:
Antimicrobial stewardship (AMS) can be considered as a socially constructed concept. The aim of this study was to understand the social processes in which farmers’ knowledge of AMS are constructed.

Materials and methods:
Semi-structured interviews were conducted with thirty-four sheep and beef farmers in England and Wales. The transcripts were analysed using reflexive thematic analysis through the lens of social constructionist theory.

Results:
Five themes were generated: (1) knower and non-knower roles; (2) adapting to multiple social realities; (3) thinking reflexively; (4) deviators of accepted standards; and (5) uses and abuses of power. Veterinarians were recognised by farmers as holding a role as a “knower” in transmitting knowledge of AMS. Farmers believed that veterinarians were able to account for multiple farming realities through adapting AMS standards for the local conditions of each farm.

Many farmers had noticed a change in the language their veterinarians used around antimicrobials over the past few years. This made farmers reflect on their own antimicrobial use. In particular, the knowledge that the routine use of prophylactic antimicrobials was unacceptable was shared amongst farmers. However, some farmers noted that “other” farmers were deviating from this accepted standard because they did not engage with social processes surrounding AMS. Communicators were seen as being in position of power that can label practices as “good” or “bad”, but this had social consequences. Farmers reported feeling stigmatized if communicators labelled their antimicrobial practices as “bad”.

Conclusion:
This research shows that active conversations between farmers and veterinarians may be a powerful way to construct AMS knowledge. It is important to consider the power dynamics between those in “knower” roles and those receiving information to ensure these conversations are effective. Focusing on common goals may prevent stigmatisation and facilitate knowledge co-production.

Keywords: antimicrobial use, qualitative, sheep, beef, social construction","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","02f86f29-9eae-4d8d-b937-84e31f38e74d","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Charlotte Doidge","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Ontologies of animal and livestock health: A synthesis review for the Global Burden of Animal Diseases program\r\n","PresentationBio":null,"Title":"Dr.","FirstName":"Stephen","LastName":"Kwok","Position":"","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":71,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The Global Burden of Animal Diseases programme (GBADs) is developed to estimate the impacts of animal health on agricultural animals, livestock production systems, and associated communities worldwide. One of the Animal Health Ontology theme’s key objectives was to review conceptual frameworks such as ontologies and their classification systems, main categories and key terms in biomedical science, with a focus on data needs in animal health and its links with human and environmental health.

Methods
In January 2022, we searched animal/livestock ontologies and ontologies which contained animal concepts on well-recognized repositories of biomedical ontologies including BioPortal, OBO Foundry and Ontology Lookup Service (OLS). On BioPortal we searched “animal” or “livestock” in the titles of the ontologies. We searched “animal” or “livestock” in the descriptions of the ontologies on OBO foundry. We also searched these key terms in the ontologies which contained these terms in their titles and descriptions on OLS.

Results
We identified sixteen ontologies which contained animal concepts; examples included “Animal Trait Ontology For Livestock”, “Animal Health Surveillance Ontology” (development in progress), “NCBITaxon”, and “Uberon”. Six of the ontologies had been published in journal/conference articles. The main topic areas of the ontologies varied covering surveillance, anatomy, genetics etc. However, ten ontologies had no class definition in a signifciant percentage of the classes.

Conclusion
Experts’ input was the common approach in ontology development, while a few others might use text mining to validate the work. Nonetheless, further works need to be done such as reporting domain evidence to support the proposed model; critical appraisal of external ontologies before reuse; and external expert reviews and statistical test of agreements. The results of this review were used to inform the structural framework, concepts and ratoinales of the Animal Health Ontology for GBADs.

Keywords: animals; livestock; health; ontology; information science","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["9f2295d7-194f-44de-9cea-8eb77d958e64","1431029c-0cdf-4ff9-912e-8fee50ef8438","d3066121-1fde-4a88-a77e-f435960ef4f2","cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Stephen Kwok","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Identification of the most relevant antimicrobial-resistant bacteria causing diseases in livestock and companion animals in Europe","PresentationBio":null,"Title":"Dr.","FirstName":"Julio","LastName":"Alvarez","Position":"","Organization":"VISAVET, Universidad Complutense","PhotoUrl":null,"IsPresentingAuthor":false,"Order":72,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Although antimicrobial resistance (AMR) poses a threat to both human and animal health, official regulations regarding monitoring of AMR bacteria in animals usually focus on zoonotic pathogens. Consequently, there is a paucity of information on AMR distribution for non-zoonotic animal pathogens. Here, we describe the process followed and the results generated in response to a request from the European Commission to provide a global state of play regarding AMR in bacteria causing diseases in cattle, sheep, goats, swine, poultry, horses, rabbits, dogs and cats, and to identify the most relevant resistant pathogens for the EU.

First, from eight to 16 pathogens causing diseases usually treated with antimicrobials and for which AMR concerns exist were identified for each animal species through expert opinion. Second, an extensive literature review was conducted to summarize available AMR data for clinically-relevant antimicrobials for the selected pathogen and animal species. Third, an expert working group identified the most relevant bacteria in each animal species through an Individual and Collective Behavioural Aggregation approach.

The amount of information retrieved varied vastly between pathogens and hosts (most information for cattle and swine, least for rabbits). Even for bacterial species for which abundant AMR data were retrieved, compilation of the evidence was challenging due to differences in methodologies, populations considered, sampling strategies and interpretation criteria used in the published studies.

Between one and three pathogens were identified as most relevant for each animal species except rabbits (E. coli selected in six cases, S. aureus in two). There was a high degree of uncertainty in several cases. Our results demonstrate the difficulties assessing the specific contribution of AMR to the negative effects caused by pathogens in livestock and companion animals, and highlight the need for further research that can help to assess the impact of AMR in animal health and welfare.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0bb275db-dbe0-42d7-abe1-4ccfc61191ed","0c879798-e821-4cff-bf7e-791d4b78ec7f","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Julio Alvarez","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks","PresentationBio":null,"Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Organization":"The Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":73,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"KEYWORDS

One Health; Social Network Analysis; partnerships

OBJECTIVES

The One Health Poultry Hub (OHPH) is a partnership network of approximately 120 researchers from 27 institutions in 10 countries. It addresses complex issues of poultry intensification and public health, with a geographic focus on Bangladesh, India, Sri Lanka and Vietnam.

Social network analysis (SNA) was applied as an evaluation tool to investigate structural dimensions of collaborations between OHPH participants, as well as dynamic changes in the network across countries and research areas.

MATERIALS AND METHODS

SNA was performed using data from two online surveys, conducted a year apart. All OHPH participants were invited to respond. The surveys covered three periods: P0 (before March 2019), P1 (March 2019 – February 2020) and P2 (March 2020 – February 2021). In addition to individual connections, respondents specified their scientific discipline, primary role, gender, and age category.

RESULTS

The networks for all periods showed a high small-world index. Network connectedness increased during P1, in a distributed manner. However, during P2, connectedness decreased, and the network became more centralised; although connections between the UK and study countries increased, connections between study countries declined. Connectedness was higher for social scientists, mid and late career stage, and male partners.

CONCLUSIONS

During P1, face-to-face meetings enabled partners from all disciplines and countries to interact directly. This facilitated an increase in network connectedness and reduction in centralisation. P2 corresponded with onset of the Covid-19 pandemic. All communication activities were migrated to online platforms. Factors affecting participation included internet access and bandwidth; language challenges; and inhibitions due to perceived status or hierarchy (e.g. early career researchers).

In large partnership networks, an understanding of the relationships between partners is essential to shape activities plus engagement and impact strategies. SNA enabled us to evaluate these relationships, and how these evolve over time.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["9f2295d7-194f-44de-9cea-8eb77d958e64","b838af4f-bddf-4b1b-84d6-642a51a831fd","8fc4d524-a96c-44ab-af7e-21be4a6db35f","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Guillaume Fournie","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Network analysis of cattle movement to optimize surveillance and control of bovine brucellosis in Argentina.","PresentationBio":null,"Title":"Dr.","FirstName":"Laura Valeria","LastName":"Alarcon","Position":"","Organization":"Facultad De Ciencias Veterinarias Unlp","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a92815a61e3542fdb378051639ce21cc","IsPresentingAuthor":false,"Order":74,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Use network analysis in combination with laboratory diagnostic data to identify cattle farms with positive and/or unknown status for Brucellosis, that have a key role in the spread of the disease to optimize the current surveillance and intervention in Argentina.

Material and methods: The databases required combining the electronic transfer documents (DT-e) of 2021 and data (2014-2018) of serological diagnoses of Brucella sp. produced by the laboratory of the National Animal Health and Food Quality Service. Network analysis allowed us to build and operate on a directed graph weighted by the number of bovine breeders moved (contact) between farms (nodes). From the computation of total degree and betweenness for each node, we calculate the Basic Reproductive Number (R0) at the network level. Then, the farms were ordered in descending way according to the degree and betweenness, successive R0’s were calculated iteratively for the entire network, eliminating one farm at once. The relative contribution to R0 of each farm was calculated. Those farms involved in reducing R0 by 80% were identified as \"super-spreaders.\" Among the super-spreaders, farms were classified according to the serological results for Brucella sp. in positive, negative or undefined status.

Results: According to the degree, 7.69%(7467/97125) high-risk farms were identified. 3.46%(258/7467) without diagnosis, 31.47%(2350/7467) were positive and 65.07% (4859/7467) were negative. Among these,(7467 farms), 6695 also were identify according to the betweenness, 2231(33.32%) are positive, 4233(63.23%) negative and 231(3.45%)unknown.

Conclusions: The movement of breeders bovine is the riskiest factor of Brucella sp. transmission between farms. The small fraction of infected farms, has central connectivity in the movements net, contributed disproportionally to diseases spread. This cattle farms identify, could be targeted by control and surveillance, within of a large population of farms, but low economic resources.

Key words: patterns of contact, management of disease, super-spreaders farms, brucellosis intervention.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Laura Valeria Alarcon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"KAP of the General Community Regarding Dog-Mediated Rabies in and around Guwahati","PresentationBio":null,"Title":"Dr.","FirstName":"Shivani","LastName":"Pradhan","Position":"Veterinary Officer","Organization":"Animal Husbandry And Veterinary Services, Government Of Sikkim","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1278cd0e33a84ffbb5a318c332cf94d5","IsPresentingAuthor":false,"Order":75,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The objective of this study was to assess the KAP of dog-mediated rabies in the general community residing in and around Guwahati, Assam, India.
A non-interventional descriptive cross-sectional survey was conducted during February-June 2018 using a pre-validated pre-tested questionnaire via face-to-face interview. A multi-stage stratified sampling method was used to study the rural/urban locations. Villages/wards being the first stage followed by selection of specific villages/wards as the second stage and chosen households were the domain of the present study. A total of 363 households were included with prior consent.
The participants comprised of 57.85% females and 42.15% males located in rural(34.44%) and urban(65.6%) areas. The survey revealed a higher incidence of dog-bite cases in livestock and pets in rural(8; 6.40%; 95% CI: 3.28-12.12%) than in urban (4; 1.68%; 95% CI: 0.66-4.24%) areas corresponding to an aggregate of 12 (3.31%; 95% CI: 1.90-5.69%) which was significantly associated with the locations(Chi-sq=5.71, df=1, p=0.017). Dog-bite exposures were higher in the periphery than within the Guwahati(OR=4.00, 95% CI: 1.18-13.56; p=0.017). The characteristic of the community under study comprised of dog owners and non-dog owners with a higher (94.8%) being aware of rabies and 93.9% identified dogs to be responsible for rabies transmission. While 92.3% respondents knew that rabies was transmitted through bites, 76% were aware about its transmission through licks and scratches also. Regarding dog-bite casualty, 17.91% were victims themselves and the rest had relatives or unrelated person as victims. Of these, 84.3% bite victims visited hospital for prophylaxis, but 30.6% visited local healers. 80.44% respondents were aware that post-bite ARV prevented death.
This study showed that rabies awareness camps organized by government and professionals with the cooperation of community would increase knowledge for enhancing positive attitude to adopt proper practices in achieving rabies-free status in 2030.
Key words: KAP, Guwahati, post-bite ARV, rabies","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","8fc4d524-a96c-44ab-af7e-21be4a6db35f","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Shivani Pradhan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatio-temporal prediction of West Nile virus vector Culex tarsalis abundance","PresentationBio":null,"Title":"Dr.","FirstName":"Pascale","LastName":"Stiles","Position":"Epidemiologist","Organization":"National Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d9fa42dce75847beb3f4dc4c70deeef6","IsPresentingAuthor":false,"Order":77,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives. West Nile virus (WNV) is a zoonotic arbovirus that cycles between avian hosts and mosquito vectors, particularly mosquitoes in the genus Culex, that can spill over to mammals through the bites of infected mosquitoes. Disease prevention primarily relies on mosquito control with entomological surveillance guiding the application of adulticides in an area when risk indicators, particularly mosquito abundance and WNV infection prevalence in mosquitoes, become elevated. Because vector control districts often operate with limited resources, knowledge of where and when upcoming high-risk periods are expected, and the certainty of that estimate, is critical for allocating resources appropriately.

Materials and Methods. We employed a generalized additive model (GAM) to estimate spatio-temporal trends in Cx. tarsalis abundance in the Central Valley of California, the region with the highest WNV incidence in the state. The model was validated through a k-fold cross-validation procedure and used to predict weekly Cx. tarsalis abundance across the Central Valley for the years 2016-2020 using data observed up to the week prior to that being predicted in order to mimic the progression of knowledge during a surveillance season.

Results. The GAM found strong seasonal patterns in abundance, modified by local land use and spatio-temporal anomalies. Additionally, the models maintained a similar predictive accuracy for out-of-sample data compared to that for the training data set. We then predicted Cx. tarsalis one week in the future at sites within 10 km of an observed trap within the prior four weeks. We observed predictions to be most accurate when the nearest observed trap was within 2 km and one week prior, thus limiting the window of utility for making short-term future predictions of abundance.

Conclusion. Ultimately these results provided a step towards improved spatial risk estimation of WNV transmission, specifically of future high-risk periods in a high-incidence region of California.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","43b008b2-8eab-460a-b708-b149b223981a","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","33998207-8c57-4717-9114-ccf9182e92bf"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Pascale Stiles","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Understanding sheep and beef farmers perceptions of preventing antibiotic resistance through sociological scripts","PresentationBio":null,"Title":"Mrs.","FirstName":"Charlotte","LastName":"Doidge","Position":"Research Fellow","Organization":"School of Veterinary Medicine and Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":78,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The aim of this study was to understand how farmers perceive and manage risks associated with antibiotic use. The study explores the role of habitus and risk in determining farmers' decisions to adopt national antibiotic reduction targets.

Materials and methods: Semi-structured interviews were conducted with 34 sheep and beef farmers in England and Wales. Data were analysed using the constant comparative method to develop sociological scripts.

Results: Respondents expressed four main scripts when considering their management of risk of antibiotic resistance on their farms: (1) Antibiotic resistance—the script of an emerging threat; (2) Good farmer habitus—the script of experienced, knowledgeable farmers; (3) Adopting preventative measures—the script of controlling risk and adopting the precautionary principle; and (4) Taking responsibility for risk—the script of risk, defence, and othering.

Farmers argued that they were experienced stockpersons and capable of evaluating symptoms, identifying the disease, and deciding on a suitable action. However, antibiotic resistance was seen as a risk to farmers’ reputations as good, profitable farmers and to the health and wellbeing of their animals. As a result, farmers had started taking measures to reduce the amount of antibiotics they used in their animals, such as improving biosecurity and increasing the uptake of vaccines. Despite attempting to reduce their antibiotic use, farmers did not fully understand antibiotic use targets and deflected responsibility of achieving the targets onto other farmers.

Conclusion: The analysis identified weaknesses in the national antibiotic use targets published in 2017. A numerical antibiotic use target could be counterproductive as most farmers did not know their numerical use. The lack of availability of antibiotic data also fosters issues with accountability for the targets. Finally, the resources available to farmers to support their responsible antibiotic use needs to be improved for targets to be achievable.

Keywords: qualitative, farmer beliefs, antibiotic use","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","0c879798-e821-4cff-bf7e-791d4b78ec7f","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Charlotte Doidge","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Factors associated with suicidal ideation among Canadian farmers","PresentationBio":null,"Title":"Ms.","FirstName":"Briana","LastName":"Hagen","Position":"Post-doctoral Fellow","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":79,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Farming is a stressful occupation and worldwide, farmers face disproportionately higher risks of mental health issues and suicide compared to other occupations. Further, farmer health and well-being are associated with animal health; poor mental health of farmers has been associated with poorer health and welfare for farmed animals. Poor mental health is also associated with suicide, and recent research in Japan has shown that livestock farmers are at an increased risk of suicide compared to crop farmers. Despite elevated rates of mental illness in Canadian farmers, and the importance agriculture and farmers in Canada, suicide and suicidal behaviour have not been thoroughly investigated in this population.

Objectives: To estimate the prevalence of suicidal ideation among farmers and investigate farm characteristics, demographic factors, and self-rated health/mental health status as predictors of suicidal ideation.

Materials and methods: A national, online cross-sectional survey was conducted with Canadian farmers (February–May 2021). To assess suicidal ideation, farmers were asked “Since you started farming, have you seriously considered suicide?”. These data were used to construct a multivariable logistic regression model to explore predictors of suicidal ideation.

Results: 1,047 Canadian farmers answered the question on suicide ideation; 201 (19.2%;95% CI:16.8-21.6) indicated that they had considered suicide since they started farming. This is significantly higher (p<0.001) than the proportion from the general Canadian population for lifetime suicide ideation (11.0%). Factors significantly positively associated with suicidal ideation included: perceived inadequate sleep, poor–fair self-rated mental health, previous mental health diagnosis, perceived lack of industry support, and being separated or divorced; apprenticeship/trades (vs. university/college educations) was negatively associated with suicide ideation.

Conclusion: These data provide a novel exploration of suicidal ideation among Canadian farmers and can be used to inform evidence-based approaches to support farmer mental health and Canadian agriculture.

Keywords: farmer mental health; suicide; one health; agriculture; Canada
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438","cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Briana Hagen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial resistance patterns observed in enterobacteriaceae isolated from sheep fecal material after the prophylactic use of penicillin ","PresentationBio":null,"Title":"Dr.","FirstName":"Luis Pablo","LastName":"Herve Claude","Position":"","Organization":"Ross University School Of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/60d8632643d94c52aa8373fdfa271698","IsPresentingAuthor":false,"Order":80,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Antimicrobial resistance is an important one-health issue worldwide, and the phenomena occurring in livestock and food animals is especially important as they give origin to food, an obviously straightforward way of connecting livestock bacteria with the human population.

Objectives
The objective is to evaluate the effect of therapeutic / preventative penicillin use in sheep and its potential impact on enterobacteria isolated from sheep.

Materials and methods
Sheep fecal samples were collected before surgery and followed by two additional samples at day 14 after the surgery plus at the end of the semester. Samples were analyzed in the RUSVM diagnostic laboratory using a classic microbiology and growth in agar plates. The isolated colonies were tested for an extended phenotypic antimicrobial resistance panel (19 antimicrobials) using Sensititer (Thermo Scientific®) and the Gram-Negative Companion Plate Format (COMPGN1F). MIC results were recorded and further analyzed to establish trends in both variety and frequency of antimicrobial resistance findings.

Results
Sensititre resistance pattern showed a relatively low prevalence of enterobacteria resistant isolate, only finding resistant isolates for 10 or the 19 antimicrobials tested, namely Amoxicillin/Clavulanic acid (AUG), Ampicillin (AMP), Cephalexin (LEX), Cefazolin (FAZ), Cefpodoxime (POD), Chloramphenicol (CHL), Doxycycline (DOX), Imipenem (IMI), Tetracycline (TET) and Trimethoprim/Sulfamethoxazole (SXT). Most of them decreased their relative frequency after the application of penicillin only to bounce back later in time (FAZ, TET, DOX, CHL, LEX, IMI, POD, SXT). The relative frequency of resistant colonies increased after exposure to penicillin for AMP and AUG only to decrease after the 2-week period. In total, 28 different enterobacteriaceae isolates had at least resistance to one antimicrobial, being those mainly E. coli, Proteus mirabilis, Klebsiella penumoniae and Enterobacter aerogenes.

Conclusions
Penicillin appears to have a relevant impact on antimicrobial resistance levels even in Gram negative colonies, at least for a short term.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3","43f42602-f380-4a8a-9da3-ce05b383dc09","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Luis Pablo Herve Claude","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Opportunities for judicious antibiotic use for urinary tract infections in a network of companion animal hospitals","PresentationBio":null,"Title":"Dr.","FirstName":"Emi","LastName":"Saito","Position":"Senior Manager, Patient Outcome Improvement","Organization":"Banfield Pet Hospital","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6af99a11ba2e48dba781d1306bce0ee7","IsPresentingAuthor":false,"Order":81,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1.\tObjectives: Investigate usage of antibiotics to manage canine and feline urinary tract infection and identify opportunities for more responsible antimicrobial prescription practices.

2.\tMaterials and Methods: All dogs and cats diagnosed with a urinary tract infection at Banfield Pet Hospital during a 12-month period (May 2020 to May 2021) were identified. Structured data for laboratory tests completed (urinalysis, culture and sensitivity) and antibiotics prescribed were pulled for each affected pet. Records were randomly selected for manual review of medical notes to identify which cases received antibiotics for non-UTI reasons. Prescription practices (antibiotic type, dosage and duration (# days)) were compared to the 2019 ISCAID guidelines for diagnosis and management of bacterial UTIs.

3. Results: A summary of the UTI cases with their diagnosis and prescription patterns are presented in the table.

By limiting oral antibiotics to the recommended duration (e.g., 7 to 10 days), the total volume of tablets dispensed could be reduced significantly (over 30% in dogs and over 15% in cats). This may be further reduced if veterinary teams dispensed antibiotics only after confirmatory diagnostic testing.

4.\tConclusion: Antimicrobial stewardship is the responsibility of all healthcare professionals. Whenever possible, following diagnosis and treatment practices presented in industry guidelines reduces the risk of resistance developing to frontline antimicrobials and ensures they remain viable treatment options as we all continue to combat evolving and emerging infectious diseases in our patient populations.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d46f0adf0cec43e49400461b9293fb04","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Emi Saito","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Use of whole-genome sequencing to investigate genetic relatedness and antimicrobial resistance of Escherichia coli within a One Health continuum","PresentationBio":null,"Title":"Dr.","FirstName":"Alyssa","LastName":"Butters","Position":"","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":83,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Antimicrobial resistance, whole-genome sequencing, One Health, molecular epidemiology
Objective: Whole-genome sequencing and comparative genomics provide a unique opportunity to study antimicrobial resistance (AMR) transmission, linking resistance gene presence with information about general bacterial genome structure to facilitate a better understanding of the acquisition, dissemination, and loss of AMR elements over time. This study explores the molecular epidemiology of AMR within a One Health continuum by using whole-genome sequencing to determine the genetic relatedness of spatiotemporally related E. coli isolates and the genetic mechanisms conferring resistance.
Materials and methods: Generic E. coli isolates were obtained from feedlot and broiler chicken fecal samples, retail beef and chicken meat, post-treatment wastewater, and well water. All samples were collected in Alberta, Canada, in 2018 and 2019. Stratified random sampling selected 288 isolates for short-read whole-genome sequencing. Genotypic AMR profiles will be compared to phenotypic resistance demonstrated by each isolate. Regression analysis with adjustment for clustering will identify epidemiological associations in the pattern and frequency of AMR elements.
Results: Phenotypically, tetracycline resistance was the most frequent class-level AMR in isolates from all sources except fecal samples from broiler chickens, in which aminoglycoside resistance was most frequent. Multi-class resistance was least frequent in isolates from retail beef and well water and most frequent in isolates from broiler chicken fecal and retail chicken meat samples. Phylogenetic trees will be presented and comparative genomics will be used to describe and compare isolate characteristics, including genotypic resistance, within and between sources.
Conclusion: Effective AMR mitigation requires a thorough understanding of the molecular epidemiology underlying its transmission. Whole-genome sequencing of isolates within a One Health setting will link AMR carriage with insight on the genetic evolution of the isolates and allow robust epidemiological analysis of the factors underpinning AMR transfer, helping shape vital risk assessment models and mitigation programs.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Alyssa Butters","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Characterization of Virulence Genes and Antibiotic-Resistant Escherichia coli isolated from Urban Stormwater Retention Ponds","PresentationBio":null,"Title":"Ms.","FirstName":"Jae Eun","LastName":"Hyun","Position":"Graduate Student","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":84,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Reusing stormwater is an approach to mitigate water scarcity. However, the presence of potential pathogenic Escherichia coli has been reported. Therefore, the objectives of this study were to 1) evaluate the frequencies of virulence genes (VGs) associated with intestinal (InPEC) and extraintestinal pathogenic E. coli (ExPEC); 2) assess antimicrobial susceptibility of VG (>3) containing E. coli, and 3) determine the proportion of tetracycline-resistant E. coli in stormwater and evaluate multi-drug resistance.
Materials and Methods
Presumptive E. coli isolates were confirmed using the uidA marker and API 20E testing. VGs of InPEC and ExPEC were assessed using multiplex and single PCR. Tetracycline-resistant E. coli were isolated using tetracycline-embedded agar plates via replica plating. Moreover, the clonality of all isolates was determined via rep-PCR. Unique isolates were screened for antimicrobial susceptibility using broth microdilution.
Results
Among the 752 confirmed E. coli isolates, 19 (2.5%) carried InPEC adhesion VG, eaeA, 4 (0.53%), 723 (96%), and 1 (0.13%) were positive for ExPEC fimbrial/pili adhesin VGs, sfa/foc, fimH, and papC, respectively. Moreover, nutrient acquisition genes of ExPEC, such as fyuA (12.2%), iutA (0.80%), iroN (12%), and toxin gene, cnf1 (0.13%), were also detected. Among the unique isolates carrying >3 VGs, 33% were resistant to tetracycline, ampicillin, streptomycin, nalidixic, cefoxitin, and amoxicillin-clavulanic acid. The proportion of tetracycline-resistant E. coli in stormwater was 43%. Of these, 56% of isolates were resistant to more than two antimicrobials, including tetracycline, and 10% were resistant to five antimicrobials.
Conclusion
This study characterized the antimicrobial-resistant and VG harbouring potential pathogenic E. coli isolated from stormwater. These findings indicate the need for continuous monitoring and assessment of water quality to prevent potential risks to public health, alongside research to identify risk factors and subsequently inform mitigation strategies.

Key words: stormwater, pathogenic Escherichia coli, virulence genes, antibiotic resistance, public health risks.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Jae Eun Hyun","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimation of Direct and Indirect Cost of Clinical Mastitis in Dairy Herds of Isfahan province","PresentationBio":null,"Title":"Dr.","FirstName":"Mohammad Arad","LastName":"Zandieh","Position":"Phd student","Organization":"Tehran University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":85,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction & aim: Bovine Mastitis is the most important and costly disease in dairy herds. Most of the economic cost due to mastitis from farmers' point of view seems to be the cost of veterinarian and mastitis treatment. By predicting the level of damage and ranking the factors that influence mastitis cost, farmers' awareness and decision-making will improve.
Methods: Data were obtained from three large dairy herds for three years from 2018 to 2021. Mastitis cows were assigned to 2 groups based on the lactation period: first and second and later lactation period and 3 groups based on the severity of mastitis: mild, moderate, and severe. In this study, decreased milk production, replacement heifers price, discarded milk cost, veterinary services price, drugs cost, and expenditure of prevention and control policy of mastitis were considered as effective factors in disease cost.
Results: Indirect cost of mastitis is greater than the direct cost of mastitis. The average cost of clinical mastitis cases was varying from $434 to $493 and the average cost of fatal clinical mastitis was varying from $1,080 to $1,130. Significant losses in milk yield (70% to 90%) have the highest cost of clinical mastitis losses, and heifer replacement cost (50% to 65%) is the highest cost in fatal clinical mastitis. Increased lactation period and the degree of mastitis also show higher losses and cost of the disease.
Conclusion: Due to the high cost of the disease at the herd level and the high prevalence of mastitis in modern dairy herds, the importance of prevention and control becomes more obvious. National surveillance and monitoring system for dairy herds can prevent severe disease costs to herds.
Keywords: Dairy Cow, Mastitis, Economics, Cost Analysis
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mohammad Arad Zandieh","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A human approach-stop task using videos of a simulated dog model displaying aggressive behaviours: The effect of participants demographics, dog model colour, size and environment.","PresentationBio":null,"Title":"Mr.","FirstName":"James","LastName":"Oxley","Position":"","Organization":"University of Liverpool","PhotoUrl":null,"IsPresentingAuthor":false,"Order":86,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective. Dog bites are a public health and animal welfare issue. The objective of this study was to use videos of a virtual dog displaying increasingly aggressive behaviours to assess if participant demographics, dog experience, dog size, coat colour or environment influences a user’s approach behaviour.

Materials and methods. A stylised Labrador, DAVE (Dog Assisted Virtual Environment), was developed which displays aggressive behaviours based on the canine ladder of aggression, and where the environment, coat colour and size can be altered. An online survey was shared through social media for one-month (September – October 2021) and was open to adults from all countries. Respondent age, gender, region, and dog experience were recorded. Participants were randomly allocated one of five videos of the simulated dog allowing for direct comparisons (i.e. yellow vs. black colour, small vs. medium vs. large size, and indoor vs. outdoor environment). Participants were asked to play the video and press stop at the point they would stop approaching the dog. Kruskal-Wallis and Mann Whitney U tests were used for group comparisons.

Results. In total 1590 participants from 59 countries were included. Males (median 32.6s) and those who had never owned a dog (median 32.9s) took longer to stop the video than females (median 20.1s; p<0.001) and those who own(ed) dogs (median 20.2s; p<0.001) respectively. Individuals moved significantly closer to the yellow (median 22.1s) than the black dog (median 17.5s; p=0.010) and significantly closer to the small (median 29.3s) compared to the medium (median 22.1s; p<0.001) and large (median 25.6s; p<0.001) dog.\t
\t
Conclusion. This study provides insight into human approach behaviour in the presence of an aggressive dog that can be experimentally controlled. Findings indicate that both person demographics and dog characteristics play a role in approach behaviour and need to be considered in dog bite prevention interventions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438","cb344d68-5710-46be-a916-dd122f96ab66","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. James Oxley","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluation of ecological and environmental factors that influence the prevalence of influenza a viruses in the Lluta river wetland","PresentationBio":null,"Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Organization":"Universidad de Chile","PhotoUrl":null,"IsPresentingAuthor":false,"Order":87,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The Lluta River is the northernmost coastal wetland in Chile and the first stopover point for many species of wild birds that arrive in the country along the Pacific migratory route, representing a priority site for avian influenza virus (AIV) surveillance in Chile.
The aim of this study was to determine the prevalence of AIV in the Lluta River wetland, to describe the subtypes found and to evaluate ecological and environmental factors that could influence that prevalence at the site.
The wetland was studied and sampled from September 2015 to June 2018. In each visit, fresh fecal environmental samples (n = 186) of wild birds were collected for AIV detection by real-time RT-PCR. Furthermore, a count of wild birds present at the site was performed and environmental variables, such as temperature, rainfall, vegetation coverage (Normalized Difference Vegetation Index-NDVI) and water body size were determined. A GLMM was built to assess the association between IAV prevalence and explanatory variables.
Of the 3230 samples screened during the study period, overall prevalence in the wetland was 1.94% (CI 95%:1.50-2.52) and monthly prevalence of IAV ranged from 0% to 8.6%. A wide diversity of hemagglutinin (HA) and neuraminidase (NA) subtypes were identified, including low pathogenic H5 and H9 viruses. While prevalence of IAV was positively related with abundance of migratory birds (OR=3.79, p<0.05), there was no association between the prevalence and the environmental variables.
Since the environmental factors of the Lluta river wetland do not present major variations during the year, the characteristics related to the host are more important to explain the differences in the prevalence in this wetland. Overall, these results emphasize the importance of the Lluta wetland as a gateway to Chile for viruses that come from the Northern Hemisphere and stresses the importance for continued active surveillance at the site.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","76c84259-9a28-4ba9-a370-db4b00031911","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"chris_hwest","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"chris_hwest","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://chris_hwest","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://chris_hwest","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Christopher Hamilton-West","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Community for Emerging and Zoonotic Diseases - Identifying Emerging Risks through Collective Intelligence","PresentationBio":null,"Title":"Dr.","FirstName":"Nancy","LastName":"deWith","Position":"Senior Veterinary Science Specialist","Organization":"Canadian Food Inspection Agency","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2c07d3103d7e4ef5bb6fc4ebde741962","IsPresentingAuthor":false,"Order":88,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The Community for Emerging and Zoonotic Diseases (CEZD) is a Canadian virtual multidisciplinary network that includes partners from provincial, federal and municipal governments, industry, and academia in areas of public, animal and environmental health.

Materials and Methods: CEZD conducts environmental scanning for emerging and zoonotic diseases using an event based surveillance system. The system integrates artificial intelligence with multidisciplinary member perspectives through member rating of signal relevance to Canada from their different perspectives. Weekly intelligence reports are produced based upon the member signal ratings. When specific signals are of concern to members, further evaluation and analysis is conducted as required.

Results: The collective intelligence generated through these processes is shared with the community members in weekly intelligence reports, immediate notifications, ‘ping’ polls, and risk products to provide early warning for emerging animal diseases and zoonotic diseases. (see Figure 1 for a summary of the processes)

Figure 1: CEZD's five step processes for generation of early warning intelligence

Conclusions: The combination of an event based surveillance system with a multidisciplinary team of professionals provides the foundation for a one health intelligence system that supports risk assessment and decision making across disciplines.

Keywords: Collaboration, Emerging, Zoonosis, Intelligence, ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/04e04b24ab6446b9a3b700719f0fbc74","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","02f86f29-9eae-4d8d-b937-84e31f38e74d","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Nancy deWith","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Regionalization for foot-and-mouth disease management during the winter special control period in Korea","PresentationBio":null,"Title":"Ms.","FirstName":"Youngmin","LastName":"Son","Position":null,"Organization":"Animal and Plant Quarantine Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":89,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): In Korea, every winter from the start of October to the end of February is designated as a special management period to strengthen the prevention of transboundary animal diseases. The standard operation procedure of FMD, revised in June 2020, stipulates that the regionalization must be renewed based on the latest epidemiological data at the start of this period each year. In this study, regionalization for control foot-and-mouth disease and its epidemiology over last 2 years are presented.
Materials and methods: Based on regionalization, data on farms with cloven-hoofed animals, related facilities, proportion of antibody from FMD vaccine, networks due to movement of animals and vehicles to farms or slaughterhouses are analyzed twice per year.
Results: For regionalization, five major regions (provincial level) and ten sub-regions (municipal level) were divided according to administrative districts. For the 2021/2022 special management period, some adjustments were made at the level of the sub-region in reflecting results of epidemiological analysis in previous year. The convenience of execution of vaccination and the use of slaughterhouses were considered.
Conclusion: The information derived through periodic renew in regionalization and subsequent epidemiological analysis were used to set range of control zone (i.e. for standstill, emergency booster vaccination, and intensive control areas) and prioritize investigations and control measures.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a424daba-5d1a-4f4a-9bf5-d16c5f51514c","84b4edb4-71ea-4d85-9aa9-c6aaea9282ae"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Youngmin Son","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Understanding antimicrobial use in the Flemish veal and pig sector: an application of systems approaches","PresentationBio":null,"Title":"Dr.","FirstName":"Erwin","LastName":"Wauters","Position":"Senior Researcher","Organization":"Flanders Research Institute For Agriculture, Fisheries And Food - Social Sciences Unit","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/717968f4026d42a58675bb72c84df57a","IsPresentingAuthor":false,"Order":89,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
In order to contain AMR, policymakers have primarily adopted a mission-oriented approach for reducing antimicrobial use (AMU) in human and veterinary medicine. In animal production, all eyes are on farmers and their veterinarians to achieve AMU reduction goals. However, these actors operate within a larger system in which they are interwoven with other actors. Our objective is to analyse the innovative capacity of the Flemish pig and calf production systems to determine whether the actors are well equipped to achieve the AMU targets in Belgium or whether there are systemic barriers that could prevent them from doing so.

Materials and methods
Fifteen key informant interviews were recorded, transcribed and coded. This was supplemented with white and grey literature and quantitative data (e.g. AMU data) and qualitative focus group data from five online living labs conducted in both sectors, and comprising all main stakeholders for both sectors. This data has been analyzed through thematic analysis, guided by an adapted framework based on mission-oriented agricultural innovation systems. The approach includes a structural and functional analysis of both production systems, allowing for an understanding of the roles of and interactions between stakeholders, capacities, market structures and institutions in the context of AMU.

Results
The functional analysis is currently being performed. At this stage, several barriers to i.e. entrepreneurial activities, market formation and destabilization and resources (re)allocation have been identified across both case studies. These results will subsequently be translated in causal loop diagrams to better visualize the processes that influence AMU.

Conclusion
Our objective is to identify systemic barriers to AMU reductions and their impact on actors within Flemish pig and calf production systems. This information would allow policy makers and others to adapt current strategies to overcome the identified barriers, which, in turn, should facilitate the achievement of the set objectives.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Erwin Wauters","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Pedagogical approaches that best prepare graduates to address climate change and other urgent health threats","PresentationBio":null,"Title":"Miss","FirstName":"Radhika K.","LastName":"Gandhi","Position":"","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e12c4b79f2924c40b088e011fb738cf4","IsPresentingAuthor":false,"Order":91,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The climate crisis is a worldwide phenomenon that continues to pose considerable health risks, including food insecurity, habitat displacement, and increased disease transmission. A One Health approach provides a transdisciplinary, systems-based foundation for addressing complex or \"wicked\" topics, such as the climate crisis. Specific knowledge, skills, and attributes deemed as “core competencies” have been outlined for One Health to foster the development of One Health practitioners. There is now a need to identify pedagogical approaches that will aid One Health students to develop these core competencies.

This project aims to identify pedagogical approaches that are currently used to help students understand and address complex challenges.

A scoping review, restricted to primary research or conference proceedings from North America, is being conducted to identify these approaches. The search criteria were limited to articles published after 2009 with full-texts available in English. Search engines used include the Educational Resources Information Center, Web of Science, Sociological Abstracts, MEDLINE, and CAB. The search results were uploaded onto DistillerSR®, where two reviewers are independently screening all articles. Articles will undergo two stages of screening (Stage one includes title and abstract screening; Stage two includes full-text screening), followed by data extraction.

Preliminary results reveal that the use of role-playing and action learning are promising pedagogical strategies that can help students grasp complex challenges. Additional results will be presented at the conference.

This research will help identify teaching and learning approaches that have been successful in preparing students to work across different disciplines and address complex challenges. The findings will inform the creation of sustainable pedagogical frameworks that will enhance climate change education and form the basis of formal One Health education.

Key words: One Health; Climate change; Transdisciplinary approach; Pedagogy; Higher education ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","9f2295d7-194f-44de-9cea-8eb77d958e64","07442f92-20d6-40eb-b297-c4897bc5781e","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Radhika K. Gandhi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Comparison of goat colostrum quality to bovine-sourced milk replacement products","PresentationBio":null,"Title":"Dr.","FirstName":"Cath","LastName":"Bauman","Position":"Assistant Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":92,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
To compare the microbiological, immunological and micro-nutrient components between pre-mixed bovine-sourced colostrum and caprine colostrum

Materials and methods
Twenty randomly selected Ontario licensed dairy goat farms provided up to 5 samples of each of the following: 1) caprine colostrum and 2) pre-mixed bovine-sourced colostrum replacement product. All samples were frozen and shipped to the University of Guelph (culture and aerobic counts), University of Alberta (micronutrients), the Saskatoon Colostrum Company (IgG and Brix refractometer) and Lactanet (fat, protein and lactose).
Descriptive statistics and univariable analysis was performed in R/RStudio.

Results
1.\tThe average mean IgG was significantly lower (p < 0.0001) in colostrum replacement product (33.7 g/L) than in caprine colostrum (53.5 g/L).
2.\tBased on using 50g/L as a cut-point to designate a sample as “good” quality, only 1.7% of colostrum replacement product samples met this cut-point compared to goat colostrum (29.7%) (p < 0.0001).
3.\tThe lactose content of colostrum replacement product was 5.4% compared to goat colostrum 2.4% (p < 0.0001) and fat and protein % were also significantly lower in the colostrum replacement products.
4.\tVitamin levels were not significantly different; however, multiple mineral levels and the microbiological contents were.

Conclusions
The majority of dairy goat producers use colostrum and milk replacement products as part of their caprine arthritis encephalitis virus management programs. Based on how producers are currently mixing these products, goat kids are at risk for failure of passive transfer, osmotic diarrhea from the increased lactose content, bacterial levels and mineral deficiencies. Further research needs to be conducted on the health impacts of animals fed these products.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d12154ed-5a96-4eee-9b2d-d5985b20d3db","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","7d91534a-2f2b-447f-830f-6178f301b1a3"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Cath Bauman","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Extending knowledge to improve biosecurity practices in alternative agricultural systems in the US","PresentationBio":null,"Title":"Ms.","FirstName":"Juliette","LastName":"Di Francesco","Position":"Postdoctoral Fellow","Organization":"University of California","PhotoUrl":null,"IsPresentingAuthor":false,"Order":93,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): The number of alternative farms (small-scale, backyard, and diversified farms) raising livestock and/or poultry species has increased over the past decades in the US. Challenges associated with their rapid growth include lack of access to veterinary oversight and technical information on biosecurity practices and animal health management. This may lead to an increased risk of occurrence of zoonotic and emerging diseases with potential spread to commercial farms. Therefore, there is a need to apply simple, practical biosecurity plans that are adapted for multiple species to alternative farms. Our goal was to improve uptake of biosecurity measures on alternative farms, through an outreach program targeting farmers and other professionals (e.g., extension educators, veterinarians).
Materials and methods: An online platform was developed to provide relevant tools and resources targeting alternative agricultural systems for trainers/extension educators, veterinarians, and farmers. A comprehensive online workshop series of eight webinars introduced key biosecurity concepts that participants could use to create a customized biosecurity plan for their operation. After each webinar, attendees were asked to complete a survey to evaluate the knowledge gained. Simultaneously, interviews with various stakeholders were conducted to customize the tools provided so that they met the needs of alternative farms.
Results: Preliminary results indicate that we are reaching our target audience insomuch as participants include a mix of producers, veterinarians, and extension educators. Additionally, webinars have successfully improved attendee knowledge (75% (18/24) of survey respondents reported an increase in knowledge).
Conclusion: This project implemented several levels of training for farmers and trainers to maximize efforts and create consistent messaging for alternative operations. The sequence of webinars introduced key biosecurity concepts that enabled participating farmers to develop every day and enhanced biosecurity plans for their operation, with an option for a subsequent in-person audit by our team of subject matter experts. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","02f86f29-9eae-4d8d-b937-84e31f38e74d"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Juliette Di Francesco","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk-based Country Evaluations (RBaCE) – a methodology to support evaluation of foreign Competent Authorities for trade purposes","PresentationBio":null,"Title":"Dr.","FirstName":"Paul","LastName":"MacIsaac","Position":"Senior Veterinary Science Specialist","Organization":"Canadian Food Inspection Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":94,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Informed risk assessments pertaining to imports of animal-based commodities require systematic, transparent, reproducible, defensible and evidence-based evaluations of trading partners in order to provide “confidence in the capacity and capability of the exporting country’s Competent Authority (CA) to satisfactorily substantiate a claim that the pathogenic agent is absent” . Internationally recognized methods to accomplish this objective are lacking leaving countries to modify existing protocols without guidance on what or how to adapt these for this purpose.

M&M: The Canadian Food Inspection Agency’s Animal Health Risk Assessment Section has developed such a tool that is flexible and adaptive. Through review and adaptation of existing capacity assessment tools, it provides a standardized means of scoping an evaluation, collecting relevant information from the exporting CA, evaluating the information provided and reporting formats to risk managers for further decision-making. This methodology has been employed for several evaluations and continues to evolve.

Results: To date, the evaluations performed using this methodology have provided close collaborations with various stakeholders by forming evaluation teams; provided clear areas of strength and improvement based on the evidence provided by the exporting CA so as to meet Canada’s import requirements; rapid turnaround times for responses to requests for information (questionnaires) as well the analysis and drafting of reports by the evaluation team.

Conclusion: The development and use of this methodology has led to better descriptions of the uncertainty described in import risk assessments which in turn has given risk managers more confidence in their decision-making. This methodology can be adapted to any animal commodity, is collaborative, holistic and captures the intent of a One Health approach to risk-based approaches to country evaluations and risk assessments.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","1431029c-0cdf-4ff9-912e-8fee50ef8438","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Paul MacIsaac","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantifying cost-effectiveness of sea lice management measures for farmed Atlantic salmon (Salmo salar) in Scotland in the context of limited data 1","PresentationBio":null,"Title":"Dr.","FirstName":"Shailesh","LastName":"Shrestha","Position":"Agricultural Economist","Organization":"Scotland's Rural College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9effe914602e4bd6baf9742e61a25e59","IsPresentingAuthor":false,"Order":94,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: sea louse, aquaculture, carbon costs

Salmon aquaculture is significantly affected by sea lice. To adhere to policies in place to keep sea lice at bay, producers deploy management measures throughout the production cycle. Decision making on which treatments to use is affected by cost and effectiveness. Objective was to quantify cost-effectiveness for (1) individual sea lice management measures, and (2) integrated management strategies that span an entire production cycle.

The cost-effectiveness ratio included costs for equipment, implementation, environment and side effects (mortality). Effectiveness was estimated based on interviews and expert opinions due to a lack of primary data.

Skirts and the in-feed measures had the best cost-effectiveness. Cleaner fish, fresh or brackish water bath, the physical removal measures thermolicer and hydrolicer and medicinal baths were among the next most cost-effective measures. Hydrogen peroxide bath was the least cost-effective, but these results were highly influenced by the efficacy estimates, which are not well quantified in literature. Lack of primary data sources made this research challenging.

This study demonstrated that the lack of data availability and the absence of standardization, constrains research in this area, especially on effectiveness of measures. The study provides a much-needed framework for discussion to better understand the gaps in knowledge, as well as a guide for developing further research.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Shailesh Shrestha","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A methodology to evaluate the surveillance systems of potential trading partners ","PresentationBio":null,"Title":"Dr.","FirstName":"Paul","LastName":"MacIsaac","Position":"Senior Veterinary Science Specialist","Organization":"Canadian Food Inspection Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":95,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Informed risk assessments with respect to imports of animal-based commodities require systematic, transparent, reproducible, defensible and evidence-based evaluations of trading partners in order to provide “confidence in the capacity and capability of the exporting country’s Competent Authority to satisfactorily substantiate a claim that the pathogenic agent is absent” . Internationally recognized methods to evaluate the claim of disease freedom of a country are few and many of these are not be able to be applied to all surveillance systems.

M&M: The Canadian Food Inspection Agency’s Animal Health Science Directorate has developed a methodology to evaluate a foreign country’s surveillance system based on reviews and adaptations of existing and published surveillance system evaluation methods. Attributes of a surveillance system are evaluated based on evidence provided by the foreign country. This evidence is then analyzed using a standardized methodology leading to an estimate of confidence in the country’s freedom claim.

Results: The methodology has been applied in one foreign country evaluation for its disease status regarding specific avian diseases of concern. The targeted questionnaire developed to assess selected surveillance system attributes led to a rapid turnaround time for response. Analysis of the information and evidence provided led to the identification of strengths and weaknesses in the country’s system. The reports produced provided risk managers confidence to develop relevant import conditions.

Conclusion: Through the recent development and use of this methodology, the uncertainty described in import risk assessments has been better qualified, giving risk managers more confidence in their decision-making. This methodology can be adapted to any commodity, is collaborative, holistic and captures the intent of a One Health approach to risk-based approaches to country evaluations and risk assessments.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","b838af4f-bddf-4b1b-84d6-642a51a831fd","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","f3a1f750-ccc7-4a27-8389-07ca6fe98821"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Paul MacIsaac","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Canada’s Feedlot Antimicrobial Use and Antimicrobial Resistance Surveillance Project ","PresentationBio":"Dr Hannon graduated as a Doctor of Veterinary Medicine from the Western College of Veterinary Medicine, Saskatoon, SK, Canada (WCVM, 1996) and practiced companion animal medicine for 5 years in British Columbia and Alberta. She then returned to WCVM where she obtained a MVetSc (2003, Department of Veterinary Microbiology) and a Veterinary Epidemiology PhD (2009, Department of Large Animal Clinical Sciences). She became associated with Feedlot Health Management Services in May 2008 as a veterinary epidemiologist. Dr Hannon has been Research Team Lead and Chair of the Feedlot Health Animal Care Committee since 2010. Her research interests include antimicrobial use and antimicrobial resistance in feedlot cattle and animal welfare. ","Title":"Dr.","FirstName":"Sherry","LastName":"Hannon","Position":"Research Team Lead/veterinary Epidemiologist","Organization":"Feedlot Health Management Services By TELUS Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c0e23e45512f4e01ab674128fce2a1a1","IsPresentingAuthor":false,"Order":96,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
In 2019, a Canadian feedlot cattle antimicrobial use (AMU) and antimicrobial resistance (AMR) surveillance project was initiated. The objectives are to 1) provide representative estimates of AMU and AMR; 2) monitor trends in AMU and AMR over time; 3) periodically investigate associations between AMU and AMR on a targeted basis in relation to emerging AMR trends; and 4) provide collated industry data for assessment of potential public/animal health risks and help veterinarians and producers preserve antimicrobial effectiveness and support antimicrobial stewardship.

Materials and Methods
Sample size calculations were designed to represent fed-cattle numbers in the Alberta, Saskatchewan, and Ontario. For inclusion, selected feedlots must be engaged in the finishing phase of cattle production, have a valid veterinary-client-patient relationship with the enrolling veterinarian; and have a one-time capacity of > 1,000 animals. Composite fecal sampling evaluating Escherichia coli, Salmonella spp., Campylobacter spp., and Enterococcus spp. (n=10 pens within 30 days of animal slaughter/feedlot); and nasopharyngeal sampling evaluating Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni (n=16/feedlot at arrival and n=16/feedlot from the same pen at rehandling) are collected annually.

AMU data are collected by consulting veterinarians who maintain the identity/confidentiality of feedlots. Quantitative parameters such as number of defined daily doses per animal time, and milligrams of antimicrobial administered adjusting for animal weight and population are calculated, and data are collated and provided back to feedlots as site-specific reports based on coded HerdID, and to key stakeholders as a national report.

Results
Surveillance demographics and 2019 AMR trends will be reported, including bacterial and AMR prevalence estimates, antimicrobial susceptibility data, and multi-drug resistance findings.

Conclusion
Canada’s feedlot AMU and AMR surveillance project is used to provide robust data to support industry sustainability, animal health and welfare, antimicrobial stewardship and global antimicrobial use transparency.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Sherry Hannon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Remote Monitoring of Cattle Population Health 365 Days a Year","PresentationBio":null,"Title":"Dr.","FirstName":"Sherry","LastName":"Hannon","Position":"Research Team Lead/veterinary Epidemiologist","Organization":"Feedlot Health Management Services By TELUS Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c0e23e45512f4e01ab674128fce2a1a1","IsPresentingAuthor":false,"Order":97,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
To provide a broad review of how daily connectivity and epidemiological tools support cattle health on a large scale.

Materials and Methods
Feedlot Health Management Services by TELUS Agriculture is a global veterinary and cattle production consulting company that relies on epidemiological tools to monitor animal health in beef and dairy-type cattle destined for slaughter. Producers from countries around the world are constantly in direct contact with Feedlot Health veterinarians, ruminant nutritionists, and cattle specialists through email, telephone, video conferencing, on-site visits, and other digital technologies (dashboards, automated reports, file sharing).
Proprietary data collection and management software (iFHMS) in every animal handling facility at client sites facilitates recording of individual-animal information (e.g. identification, weight, date, product(s) administered, disease diagnosis) every time animals pass through a chute.

Population-specific automated “trigger” reports and colour-coded dashboards (based on pre-established criteria such as morbidity and mortality thresholds) are produced daily and reviewed by consultants for timely and appropriate intervention when warranted.

Trained animal health personnel conduct standardized post-mortem examinations for animals that die at client sites, and upload specific digital images for Feedlot Health veterinarians to diagnose.

Results
All components of the data collection and management system (including in-person veterinary visits, iFHMS, remote digital necropsy, automated health summaries, and other tools) allow Feedlot Health to provide high level population oversight, health protocol standardization and compliance monitoring, and animal traceability 365 days a year.

Conclusions
Digital and epidemiological tools help create high trust levels between Feedlot Health and its clients, allow efficient and effective communication, and improve the ability to provide health and welfare support in cattle populations with essentially no geographical limitations. It is critical to expand epidemiological capability and capacity by thinking outside the box, synergistically building on technology, and applying creative tools to complex issues in a structured and sound way.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b838af4f-bddf-4b1b-84d6-642a51a831fd"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Sherry Hannon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"African swine fever in Gauteng province, South Africa: Biosecurity risks","PresentationBio":null,"Title":"Mrs.","FirstName":"Keneiloe","LastName":"Montsu","Position":"Senior Research technician","Organization":"Agricultural Research Council","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0a3dcb134e044804b2cd349c75c63816","IsPresentingAuthor":false,"Order":98,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"
Objective(s)
The 2012 and 2016-2022, African swine fever (ASF) outbreaks in Gauteng are suspected to form part of the domestic cycle, which consists of pig-to-pig transmission. The objective of this study was to determine the potential risk of ASF spread within and to Gauteng with reference to specific areas, which are currently known to be ASF-free and areas exposed to ASF outbreaks from 2016-2022.
Method and Materials
In 2020 and 2021, pig farmers willing to participate in the study had been identified. Hundred and thirty-seven farmers agreed to participate in the study, which allowed the researchers to conduct telephonically interviews (due to COVID-19 epidemic) and/or face-to-face interviews. The latter were achieved by obtaining data from smallholder farmers using questionnaires, which included questions on the general characteristics of the farm and household, herd size and ownership, pig and animal health management, biosecurity measures, pig trade and movement, awareness of ASF, sanitary measures and possible virus introduction routes. Farmers were divided according to three criteria based on their past experience toward the disease and the ASF status of the area in which they were located.
Results
Data collected indicate knowledge gaps regarding ASF in general. Lack of basic biosecurity knowledge as well as application thereof such as free-roaming pigs were identified as risk factors. Results further show that there is evidence of informal movements or trade in the area.
Conclusion
Creating awareness and improving of knowledge on African swine fever, biosecurity and control is an aspect required by many smallholder farmers in the Gauteng Province. Farmers still need training on some of the basic cost effective biosecurity measures they can be implement on farms.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Keneiloe Montsu","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatial-explicit agent-based modeling to inform targeted surveillance and emergency response against foot-and-mouth disease in the last phase of eradication programs","PresentationBio":null,"Title":"Mr.","FirstName":"Jose Pablo","LastName":"Gomez-Vazquez","Position":"Postdoctoral Scholar","Organization":"UC Davis CADMS","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7ff1e3f46c334db68e74f61032330824","IsPresentingAuthor":false,"Order":99,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Foot-and-Mouth Disease continues to be one of the most economically important diseases for the livestock industry due the international trade restrictions and the production losses in the affected countries. Despite the intense local, national and international efforts for FMD prevention and control, FMD remains endemic in many countries in South and central America, most of Africa, Asia and Eastern Europe. In this study we aim to evaluate the spatio-temporal dynamics of a potential introduction of FMD in Ecuador to identify high risk areas, as well as the effect of different intervention strategies to mitigate the disease impact in cattle production systems.
Methods: We developed a spatial explicit stochastic agent-based model that simulates local and national level disease spread dynamics. We parametrized our model using data from animal demographics, location of farms, vaccination coverage and movement patterns. Our model also asses the interventions to control the disease impact, such as emergency vaccination, culling and movement restrictions. Model outcomes include the total number of infected farms, culled animals and farms to vaccinate in a disease emergency scenario to control de spread. Risk maps were generated for different introduction scenarios.
Results: Our results suggest that reducing the average number of days to detection and removal of infected farms from 21 to 7 days can reduce the overall disease impact in a 53.3%. Scenarios where the index case was introduced in the south region resulted in larger outbreaks.
Conclusions: The results presented here intend to support the current FMD eradication program in Ecuador to improve the emergency preparedness and advance faster towards the final steps of the eradication process. Our modelling approach can be easily adapted to different scenarios in other countries and for other transboundary animal diseases such as African Swine fever.

Keywords: Spatial modeling; Agent-based models; Stochastic modeling; Foot-and-mouth disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["9f2295d7-194f-44de-9cea-8eb77d958e64","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","5178adf1-eaeb-4d5b-8fce-b18677488f5a","84b4edb4-71ea-4d85-9aa9-c6aaea9282ae"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Jose Pablo Gomez-Vazquez","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Disease patterns for Insured Cats in Sweden: Data from 2011-2016 with over 1.6 Million Cat-Years-at-Risk","PresentationBio":null,"Title":"Dr.","FirstName":"Barr","LastName":"Hadar","Position":"Phd Candidate","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":100,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The objective of this study was to calculate disease frequency for domestic and purebred cats using comprehensive pet insurance data from Sweden to inform health promotion efforts.

Methods
A descriptive analysis of cats insured with Agria Pet Insurance in Sweden (2011-2016) was performed. Crude and direct age-standardized incidence rates of disease categories were based on veterinary care events (i.e. one or more claims for a visit to the veterinarian that exceeded the deductible) and calculated for the whole cat population and subgroups by breed, sex, and age. Disease rates were based on an exact denominator consisting of cat-year-at-risk (total time cats were insured during the period). Rate ratios were calculated, comparing domestic cats to all purebreds, and specific purebreds to all other purebreds combined.

Results
The study included over 1.6 million cat-years-at-risk (78.5% domestic cats), 18 breeds, in 26 disease categories. The most common disease categories for domestic cats were injury, digestive, whole body, skin, and lower urinary with age-adjusted incidence rates of 223 (220-226 95% CI), 186 (184-188), 171 (169-173), 143 (141-144), and 109 (107-111) cases per 10,000 cat-years-at-risk respectively. Rate ratios of domestic cats compared to all purebreds combined are 1.39 (1.35-1.43; injury), 0.61 (0.59-0.62; digestive), 0.82 (0.80-0.85; whole body), 1.19 (1.15-1.23; skin), 0.88 (0.85-0.91; lower urinary). The following purebreds have the highest rate ratios compared to other purebreds: Siberian (injury; 1.65, 1.50-1.81), Siamese (digestive; 1.58, 1.47-1.69), Burmese (whole body; 1.49, 1.30-1.70), Ocicat (skin, 1.82, 1.43-2.27), and Abbyssinian (lower urinary; 1.48, 1.22-1.78).

Conclusion
Sources of population-based cat information are scarce. This study demonstrates how pet insurance data can be used to find breed-specific differences in the incidence of various disease categories in cats. This may be of importance for breeders, pet parents and veterinarians.

Keywords
cats; pet insurance data; data analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","33998207-8c57-4717-9114-ccf9182e92bf"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Barr Hadar","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing impacts of COVID-19 pandemic on animal source food retailers and consumers in Vietnam and Cambodia","PresentationBio":null,"Title":"Mr.","FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/74bccc4b9d3746a7a87827e3adb83e18","IsPresentingAuthor":false,"Order":101,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The study aimed to assess the impact of COVID-19 pandemic on business activities and food safety practices of animal source food (ASF) retailers and consumers during the first wave of COVID-19 pandemic from February to April 2020 in Vietnam and Cambodia.
Materials and methods: This study was conducted as a cross-sectional study using a face-to-face interview, after the first wave of COVID-19 pandemic occurring in Vietnam and Cambodia. A total of 608 participants (n=300 ASF retailers and 308 consumers), represented both rural and peri-urban/urban areas, was included.
Results: Eighty-six percent (258/300) ASF retailers reported that their income deceased with average of 48.2%, 11% without changing, and 2.7% increased (by 32.5%) during the social distancing period. While 54.3% (163/300) reported their decreased income at 37.7%, 36.0% (108/300) without changing, and 9.3% increase (by 26.6%) after the first wave of COVID-19. There was no significant difference in income decrease between rural and peri-urban/urban sellers either during social (p=0.76, t.test) or after COVID-19 (p=0.53, t.test). During the social distancing, 27% retailers revealed it was more difficult to source ASF to sell but facilitated increasing food safety practice compliance. Seventy-four (228/308) consumers had income decreased from 20-35% mainly due to reduced jobs, no significant difference was observed between rural and urban consumers. Almost 80% of consumers agreed that they had better practices in looking for a good hygiene practice shop to buy ASF, washing hands and kitchen equipment as due to COVID-19 pandemic.
Conclusion: These findings suggest that COVID-19 pandemic affected negatively business activities and incomes of ASF retailers and consumers. However, food safety behaviours were improved. Relevant recommendations need to be formulated to support ASF retailing business and improve food safety practices of both retailers and consumers because of COVID-19.

Keywords: Hygiene practice, SARS-CoV2, Social distancing, Southeast Asia, Traditional market","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["cb344d68-5710-46be-a916-dd122f96ab66","e38fdbff-06ce-4925-a92e-8faaaf3278a6","8fc4d524-a96c-44ab-af7e-21be4a6db35f","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d12154ed-5a96-4eee-9b2d-d5985b20d3db","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"[email protected]","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"[email protected]","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"http://[email protected]","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://[email protected]","Font":"fab fa-facebook-square","Color":"#3b5998"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Fred Unger","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Genomic characterisation of Salmonella Typhimurium isolated from table-egg layer farming environments in Western Australia and public health implications","PresentationBio":null,"Title":"Mr.","FirstName":"Shafi","LastName":"Sahibzada","Position":"Lecturer","Organization":"Murdoch University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/037006bc27084493a88e9f6e3df0bffc","IsPresentingAuthor":false,"Order":102,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
This study aimed to determine phenotypic AMR and genomic characterisation of S. Typhimurium isolates recovered from chicken layer farm environment in Western Australia. Furthermore, the potential spreading of our S. Typhimurium isolates between the visited farms and their relatedness with human clinical isolates were also investigated.
Methods
A total of 32 S. Typhimurium isolates sourced from chicken layer farm environments in Western Australia were analysed to determine their phenotypic antimicrobial susceptibility using minimum inhibitory concentration. A subset of 59 S. Typhimurium isolates collected in human (n=27) and chickens layer farm environment (n=32) were subjected to whole-genome sequencing to assess phylogenetic relatedness, serovar typing, MLST, virulence genes, resistance genes, and pan-genome.
Results
Non-wild type isolates were only identified against amoxicillin-clavulanate (96.88%), ampicillin (9.38%), and chloramphenicol (3.12%). None of the S. Typhimurium isolates indicated a multi-class-resistant phenotype. Sequencing data highlighted the presence of the blaSED1 resistance gene, which encodes resistance to ampicillin in only one farm environment isolate. All isolates carried mdsABC (multidrug transporter of Salmonella), complex mdsA and mdsB. Two S. Typhimurium isolates carried point-mutation in RamR gene with substituting threonine to proline. A total of 112 virulence genes and virulence factors were also found among the tested isolates. The core genome SNP-based analysis exhibited a close relationship between farm environmental and human clinical isolates. We also noted distantly related isolates on similar farms, which shows the contentious introduction of S. Typhimurium.
Conclusion
This study demonstrates a low prevalence of AMR amongst Salmonella within the layer farm environment in Western Australia. However, the genotypic analysis revealed a close relatedness of S. Typhimurium from layer farms with isolates sourced from human infections. Further investigations are warranted to expand on the potential clinical and public health relevance of these findings to inform risk management of this key pathogen.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","6d2507a9-e756-4ab4-ae03-e679e391c7e6","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/shafi-sahibzada-92441815","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/shafi-sahibzada-92441815","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/shafi-sahibzada-92441815","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/shafi-sahibzada-92441815","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Shafi Sahibzada","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A novel dose-response model for infection with foodborne ciprofloxacin-resistant Campylobacter","PresentationBio":null,"Title":"Ms.","FirstName":"Dana","LastName":"Tschritter","Position":"","Organization":"University of Alberta","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c0a40a68c2a34bab99cb371e6c53f5f5","IsPresentingAuthor":false,"Order":103,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Infections from foodborne pathogens with antimicrobial resistance (AMR) post a risk to human health and the future of animal and human healthcare. Dose-response models (DRMs) are critical components of quantitative microbial risk assessments (QMRAs), a mathematical modeling approach used to estimate risk. However, modeling foodborne AMR Campylobacter has been hindered by insufficient DRM frameworks that account for AMR itself. in 2019, Chandrasekaran & Jiang proposed a novel DRM for AMR using gentamicin-resistant E. coli, an approach designed to be suitable for other resistant bacteria. The objective of this study was to develop a novel DRM that account for ciprofloxacin-resistant (CIPR) Campylobacter using this framework.

Methods: A novel model was developed for the probability of infection from exposure to a mixed dose of Campylobacter (both ciprofloxaicn-resistant and -susceptible) at a certain ambient concentration of ciprofloxacin (CIP). Pharmacodynamic and epidemiologic data regarding campylobacteriosis and CIP's actions on Campylobacter were used to calculate new DRM parameters. The model was explored at three dose compositions (10%, 50%, 90% CIPR) and different ambient CIP concentrations. The novel model was compared to the traditionally used beta-Poisson DRM of Campylobacter, with α and β shape parameters of (0.21, 59.59), respectively, from previous QMRAs.

Results: New parameters for the survival of a single CIPS Campylobacter were (0.21, 112.48), (0.21, 361.50), and (0.21, 1068.24) when the ciprofloxacin concentration was 0.065, 0.195, and 0.325 μg/L, respectively. Methodological suitability of the model for the CIPR Campylobacter context, associated data availability, and broader assumptions and implications of the DRM will be presented.

Conclusions: This novel DRM presents important considerations and model adjustments for the biological and pathogenic behaviour for CIPR Campylobacter. This DRM framework is promising for future AMR foodborne QMRAs.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Dana Tschritter","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Beef cattle farms characterization in Uruguay with emphasis in antimicrobial use","PresentationBio":null,"Title":"Dr.","FirstName":"Federico","LastName":"Fernandez","Position":"","Organization":"Ministry of Livestock, Agriculture and Fisheries","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a2b72b27dcaa4f48a4013dd8ba07cff3","IsPresentingAuthor":false,"Order":106,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"
Objective
To characterize the beef producing farms in Uruguay at the end of the fattening stage, with emphasis in the use of antimicrobials
Materials and methods
The study was carried out in fattening farms from different beef cattle production systems as feedlot, based on pastures (pasture) and dairies. 120 farms were selected with a survey design that allows the projection of the results to the population. Complex sampling routines of the STATA 15® software were used for the analysis according to the sampling design.
Data was collected through a survey focusing on antimicrobial resistance including 40 questions about the farm: general information and management, livestock population, sanitary practices, use of antimicrobials, feeding and others.
Results
60.8% of the farms had productive/reproductive records; this percentage was higher in feedlots and increase with herd size.
87.2% of the farms had veterinary advice showing higher percentage in feedlots and dairies. Veterinary advice resulted statistically associated with productive/reproductive records (odds ratio 5.3).
Relative to antimicrobial, in 79.6% of the farms the veterinary was involved in the antimicrobial selection and in 12.4% with the antimicrobial administration. 56.4% recorded the antimicrobial use, with higher percentage in feedlots and dairies.
A quarter of the farms reported not using antimicrobial and 23% used World Health Organization critical importance antimicrobial, with large differences between production systems (67% dairy, 46% feedlots and 22% pasture). Of those that reported using any, the most used classes were tetracyclines followed by aminoglycosides combined with penicillin.
Conclusions
Farm characterization showed important differences between production systems, highlighting frequency of veterinary advice, good levels of records, good practices of use, and low level of antimicrobial use. This information can be used to identify associated factors to antimicrobial resistance, looking for best livestock practices to minimize this problem.
Key words: farm characterization, Uruguay, antimicrobial use.




","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b838af4f-bddf-4b1b-84d6-642a51a831fd","0c879798-e821-4cff-bf7e-791d4b78ec7f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Federico Fernandez","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Infectious Diseases of Cats in the States of Kentucky, Tennessee, and Virginia (United States)","PresentationBio":null,"Title":"Dr.","FirstName":"Karen","LastName":"Gruszynski","Position":"Associate Professor","Organization":"Lincoln Memorial University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":107,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Cats are affected by a number of feline-specific or zoonotic diseases. The goal of this project was to estimate the prevalence of various pathogens in shelter and community cats from the US states of Kentucky, Tennessee, and Virginia and how these disease could potentially impact feline or human health.

Methods: Blood and feces were collected from community cats and shelter cats brought to Lincoln Memorial University to be sterilized. Blood samples were submitted to IDEXX to run Anemia PCR Panel which tests for tests for multiple pathogens. CBCs and bloods smears were also performed. Fecal samples underwent centrifugal flotation using sheather's sucrose. Parasites were identified using morphological criteria. Ectoparasites were also collected from cats.

Results: Mycoplasmas (11/63, 17.5%, 95%CI: 9.1-29.1%) were the most commonly identified bloodborne pathogen. Bartonella spp. (2/63, 3.2%, 95%CI: 0.4-11.0%), FeLV (1/63, 1.6% 95%CI: 0.0-8.5%) , and FIV (1/63, 1.6%, 95%CI: 0.0-8.5%) were also identified, but only in community cats. Toxocara cati (14/75, 18.7%, 95%CI: 10.6-29.3%). Cystoisospora spp. (6/75, 8.0%, 95%CI: 3.0-16.6%), Dipylidium caninum (5/76, 6.6%, 95%CI: 2.2-14.7%), Ancylostoma tubiforme (4/75, 5.3%, 95%CI: 1.5-13.1%) were also identified. Toxocara cati and Ancylostoma tubiforme were only found in community cats.

Conclusion: The prevalence was generally low, but community cats had a wider variety of pathogens detected than shelter cats which is not too surprising since some shelters test for feline viruses and some of the shelter cats were treated for internal parasites prior to testing. It is also important to note that many of the cats were community cats and could potentially pose a health risk to people. The findings also need to be evaluated in light of CBC and blood smear results to understand how cat health has been impacted by pathogens. Testing of ectoparasites would also determine if prevalence for vector-borne diseases could potentially be underestimated.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","43b008b2-8eab-460a-b708-b149b223981a","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Karen Gruszynski","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Sound-control: stimulating output-based surveillance\r\n","PresentationBio":null,"Title":"Prof.","FirstName":"Gerdien","LastName":"van Schaik","Position":"Epidemiologist","Organization":"GD / UU","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4dfb6737047d4732b20b9b3a840a0d80","IsPresentingAuthor":false,"Order":108,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Several countries have implemented control programmes (CP) for endemic cattle infections such as BVD, IBR, Paratuberculosis, etc. These CPs are tailored to each country’s specific situation e.g. prevalence, demographics and risk behaviour resulting in large heterogeneity in CP design. There is a need for methods that enable objective and standardised comparison of outputs of differently designed CPs.

With the aim to stimulate so-called output-based surveillance methods, a COST Action named SOUND-control was initiated in 2018. In this Action more than 100 researchers from 33 countries collaborate in five different working groups (WG).

In the first WG, cattle diseases that are not listed as A or B in the AHL and for which CPs exist were mapped in a series of papers published in a dedicated issue of the Journal Frontiers in Veterinary Science. In WG2 a digital and open access data-collection tool was developed. The tool was applied to evaluate the availability and quality of data in the participating countries and to collect data on the case of Leukosis. In WG3 existing and new methods that can be applied for output-based surveillance were evaluated and the application of these methods were shared with the consortium members and beyond in training schools and workshops. WG4 focussed on future development and generating a research agenda. Finally, communication and disseminations were done by WG5 (www.sound-control.eu).

All results and materials are freely available and intent to support the movement towards output-based surveillance of cattle diseases in support of safe animal trade.

Key words: output-based surveillance, disease control, cattle
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","b838af4f-bddf-4b1b-84d6-642a51a831fd","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Gerdien van Schaik","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The potential in improved disease handling in Norwegian Salmon Aquaculture","PresentationBio":null,"Title":"Mr.","FirstName":"Paul Steinar","LastName":"Valle","Position":"Researcher","Organization":"Paul Steinar Valle","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5ad74912481c4180bdafc0f52c4ef762","IsPresentingAuthor":false,"Order":110,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
Here we study an investment in improved Pancreas Disease (PD) vaccination of Atlantic salmon smolts. Based on AquaTools (a simulation tool) and information from recent publications, the effects of PD vaccinations is simulated. PD have reduced occurrence in Norway in 2021 compared to prior years (National Fish Health Report), and potentially due to vaccines that are more efficient. The current work relates to a task given by the Global Burden of Animal Diseases (GBADs) program.

Materials and methods
Through simulations in AquaTools, we compare two cases in a fictive company with 70 sea production licenses (Norway counting about 1000 of these). We simulate (based on referenced literature/studies) the effects of reported improvements in Thermal Growth Coefficient (TGC), biologic Feed Conversion Ratio (bFCR), losses (mortality) by month and altered downgrading and discharge at slaughter, as an effect of the studied vaccine. In addition, a higher average sales price due to the reasons mentioned above.

Results
In cases where a fictive salmon farmer invests 4,- NOK more in vaccination per smolt in a company of 70 licenses, the profitability increases on average with 700 mill NOK (74 Mill USD) and about 9 thousand tonnes more salmon Head on Gutted (HOG) is produced and 1.2 million more animals (salmons) survive to slaughter. Of course, these figures comes from a stochastic reality, and we assign simple measures for uncertainty and/or variation to key input parameters using @Risk.

Conclusion
The investment in healthier smolts through improved vaccination, pays off for the farmer, reduces mortality and converts more of the feed used into edible fish meat (proteins). Thus, the simulation strongly indicates a significant reduction in burden of animal diseases when applying improved diseases handling, in this case improved vaccination.

Keywords: Disease control, Vaccination, Atlantic Salmon, Economics, Welfare","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","d12154ed-5a96-4eee-9b2d-d5985b20d3db","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","5178adf1-eaeb-4d5b-8fce-b18677488f5a","32b9e4fa-3def-4467-8cec-52826aa2104d","512e7a65-c837-49ce-8f06-827e25887293","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Paul Steinar Valle","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Forty-five years of One Health-related research at the International Livestock Research Institute","PresentationBio":null,"Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Organization":"University of Greenwich","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f3b3946d57244ad8b2d2bd285c1f3cec","IsPresentingAuthor":false,"Order":110,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Livestock are the engine of development, but disease is a major constraint to production and risk to human health. Epidemiological research has revolutionised management of livestock disease, and this poster reviews 45 years research by the International Livestock Research Institute (ILRI), the only international agricultural research institute focused on livestock.

Materials and Methods: Over four years, we engaged more than 70 expert authors, to document 45 years of livestock research at ILRI, resulting in a book, launched in 2021 (Figure 1). Nine of the 18 chapters document epidemiological research into animal disease, showing the importance of epidemiology in livestock development.

Figure One: Impact of ILRI research


Results: Key findings include:
•\tResearch increased understanding of infection dynamics and generated methodologies and approaches that have since been applied in every corner of the world.
•\tOne Health approaches estimated the burden and risk factors for neglected as well as emerging zoonoses, identified their drivers and developed strategies for reducing those risks.
•\tField research on trypanosomiasis determined that rational use of curative and preventive trypanocidal drugs is the most sustainable and scalable control method.
•\tResearch on food safety elevated the importance of informal markets where most of the poor buy and sell food, introduced risk assessment developing countries, conducted dozens of disease burden studies and developed new approaches to managing food safety in informal markets.

Conclusion: The book captures ILRI benefits to research, capacity development and end users. It marshals substantial evidence to show that livestock epidemiological and economic research improved food and nutrition security, prosperity, and natural resource management in lower-income countries.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b68aaf3c9e764d46a6a192f855f01431","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Delia Grace Randolph","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Improving biosecurity in the tilapia value chain using a risk analysis approach ","PresentationBio":null,"Title":"Dr.","FirstName":"Brett","LastName":"MacKinnon","Position":"Scientific Officer","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3aeba0f9b20b486a8cf96c4ff18046a9","IsPresentingAuthor":false,"Order":111,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
To describe infectious agents of tilapia that may adversely affect tilapia production and identify potential biosecurity measures that can be implemented at critical control points (CCPs) along the tilapia value chain.

Methods
We reviewed the literature to identify important bacterial, parasitic, viral, and fungal diseases reported in cultured tilapia and potential risk factors for outbreaks. Risk analysis was discussed as an approach to control the introduction and spread of infectious diseases within the tilapia value chain. Potential risk factors and mitigation measures to be implemented at CCPs were identified at each step along the value chain. Special attention was given to practical measures that can be implemented for smallholders in developing countries with limited capacity.

Results
Infectious diseases caused by 119 pathogens have been reported to threaten tilapia production. Water serves as the greatest risk for pathogen introduction in open aquaculture systems, particularly in cage culture. The control of diseases in the tilapia sector may involve a combination of biosecurity measures at multiple points along the value chain. The complete elimination of disease risks along the value chain is not realistic. Surveillance and contingency planning may promote a rapid disease response, which can reduce the consequences associated with outbreaks and the overall risk. Smallholders often have long or diverse value chains, which pose an increased risk due to more opportunities for disease introduction and spread between points.

Conclusion
The control of diseases of tilapia requires a multi-faceted approach, with risk-based control measures chosen based on their feasibility, effectiveness, and sustainability. The Progressive Management Pathway for Improving Aquaculture Biosecurity (PMP/AB), a risk-based, collaborative, and progressive management approach combined with the systematic approach of Hazard Analysis Critical Control Point (HAACP), offers a strategic way of improving biosecurity in the tilapia value chain.

Keywords: aquaculture, tilapia, value chain, risk analysis, PMP/AB
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","df5d618c-3702-4d9c-95b6-0ad39c8b6184","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/brett-mackinnon-7332a4106","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/brett-mackinnon-7332a4106","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/brett-mackinnon-7332a4106","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/brett-mackinnon-7332a4106","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Brett MacKinnon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Burden of diseases and other causes of morbidity or mortality in backyard chicken farms in low-income and middle-income countries: A systematic literature review","PresentationBio":null,"Title":"Miss","FirstName":"Violeta","LastName":"Muñoz-Gómez","Position":"Phd Student","Organization":"University of Zurich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":112,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: To estimate the burden of diseases and other causes of morbidity or mortality in backyard chicken farms in low-income and middle-income countries.
Material and methods: Systematic literature review following the PRISMA guidelines. A protocol was developed including a search strategy with appropriate key words and inclusion and exclusion criteria. The literature review was restricted (1981-2021) and included 10 languages. The review is focused on backyard farms (including free-roaming chicken) and low biosecurity commercial farms (sectors 3,4 from FAO classification). Outcomes of interest included economic impact, production parameters, gross margin, prevalence, and sample size. Guidelines were provided to collaborators ensuring consistency in the review and data extraction processes. The review process involved a restricted number of people, and ambiguities will be dealt by reaching consensus. A quantitative meta-analysis will be conducted, and studies will be assessed using a qualitative criteria assessment. Only prevalence results are included here.
Results: More than 23,000 studies were screened, and 67 studies have been selected so far. Although the screening process has not been finalised yet, preliminary analyses show that most of collected prevalence data reflect parasite prevalence (37.9%), followed by predation (18.4%), viral diseases (18.4%), malnutrition (6.9%), bacteria diseases (6.9%), weather conditions (4.6%), injuries (3.4%) and, mixed diseases, mismanagement and fungus (3.4%). Regarding viral diseases, preliminary meta-analysis results suggest a pooled prevalence of 64.9% (95%CI:43.6-86.2) for Avian influenza virus and 23.4%(95%CI:0-50.8) for Newcastle disease. For predation, the pooled prevalence was 25.7% (95%CI:11.9-39.5). Concerning parasites, the estimated pooled prevalence for Heterakis spp was 58.9% (95%CI:13.4-100) and 35.8%(95%CI:7-64.6) for Ascaridida spp.
Conclusion: As part of the GBADs programme, results from this study will help to identify main causes of diseases burden and mortality in backyard chicken from low-income and middle-income countries and, will inform decision-makers on disease control.
Keywords: GBADs, disease burden, backyard, small-holder, chicken
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","6d2507a9-e756-4ab4-ae03-e679e391c7e6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Violeta Muñoz-Gómez","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Gender and agriculture: Implications for antimicrobial resistance policy ","PresentationBio":null,"Title":"Dr.","FirstName":"Fiona","LastName":"Emdin","Position":"","Organization":"Global Strategy Lab","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/417df4a7f7e941b3a6ad774b10c97bc4","IsPresentingAuthor":false,"Order":113,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives:
The AMR Tripartite have taken a One Health approach, engaging multi-sectoral stakeholders to coordinate research, policy, and action against antimicrobial resistance (AMR), including across agricultural sectors. Despite the significant role of women within agricultural, animal health, human health and environmental sectors, gender considerations are often conspicuously absent from One Health policy, including those addressing AMR. In fact, most AMR policy approaches fail to consider gender as a driver of AMR in vulnerable populations.

Methods:
This narrative review identifies key policy and research gaps, and provides a framework for exploring the association between gender, antimicrobial access and AMR exposure across agricultural sectors. We also offer policy recommendations for developing gender sensitive One Health AMR policies within agricultural sectors.

Results:
Gender inequity is a significant driver of antimicrobial access and AMR exposure in agriculture, especially within LMICs. For example, small-scale livestock producers are predominantly women and are both less likely to access veterinarian services and more likely affected by AMR spillover events due to increased contact with animal products. Gendered antimicrobial access and AMR exposures like these may in turn drive gendered AMR policy outcomes across One Health sectors, including agricultural sectors.

Conclusion:
AMR is a One Health, global challenge with inequitable effects that requires a concerted global effort to identify and develop equitable and sustainable solutions. We identified numerous research gaps related to gender, equity and AMR, especially within agricultural research that must be targeted by further studies. Within agricultural sectors, AMR research and policy should work to incorporate a gender lens by i) developing tools for the inclusion and assessment of gender in policy and ii) including gender in AMR surveillance and mitigation policy across agricultural sectors. Furthermore, we call on policymakers to appropriately address gender using One Health methods in next iterations of National Action Plans on AMR.

Keywords: Antimicrobial Resistance, One Health, Agricultural Policy, Gender Equity","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","0c879798-e821-4cff-bf7e-791d4b78ec7f","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Fiona Emdin","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using SNP addresses for Salmonella Typhimurium DT104 in veterinary outbreak detection ","PresentationBio":null,"Title":"Dr.","FirstName":"Judy","LastName":"Bettridge","Position":"Fellow In Biostatistics For Food And Agriculture","Organization":"University of Greenwich","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7e352ccfc61a42f88b5fd116e9abc4c5","IsPresentingAuthor":false,"Order":114,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The SNP address is generated from single-linkage clustering of isolates based on their whole genome sequences and is used in human surveillance for several pathogens. This study compared SNP address with traditional phage typing in outbreak detection of salmonella in veterinary surveillance in Great Britain.
Materials and methods
Two cluster detection algorithms were used to compare models which defined incidents either by a SNP address, generated by SnapperDB software at the UK’s Animal and Plant Health Agency; or by classical phage type definition. Farrington models were run in R on historical UK data up to 2019 to search for temporal clusters, and SaTScan™ scanned sequential quarterly datasets from 2002 to 2019 for prospective spatio-temporal clusters.
Results
Clusters of incidents defined by SNP address were effectively detected by both methods but showed greater advantage over phage type definition for spatio-temporal models, even with few incidents dispersed over a large area. SNP addresses appeared more spatially and temporally limited than phage type (see example Figure showing a selection of 2010 models), which facilitated differentiation between novel and existing clusters. However, the large number of SNP addresses will require automated methods to implement this routinely.
Conclusion
SNP addresses are likely to be a valuable addition to early detection of outbreaks in veterinary surveillance, especially when the spatial dimension is incorporated. Next steps will include investigating the influence of host species and genomic changes over time on the sensitivity and specificity of cluster detection.

Keywords
Salmonella, molecular surveillance, WGS
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In line with the One Health concept, international organizations and the scientific community are strongly supporting the implementation of multisectoral surveillance systems to improve the management of health hazards at the human-animal-environment interface. Such surveillance systems call for the establishment of collaboration across sectors and disciplines that must be evaluated to ensure they are appropriate and functional to produce the expected results. In this context, we aimed to developed a tool, ECoSur (Evaluation of Collaboration for Surveillance), to evaluate collaboration taking place in a multisectoral surveillance system.

Materials and Methods
Based on core collaborative characteristics for the governance and operation of surveillance activities and attributes used in existing evaluation framework for surveillance and One Health initiatives, we have developed a list of attributes and indexes to evaluate the organisation and functioning (at both governance and operational levels) and functions of collaboration in a multisectoral surveillance system.

Results
The developed tool consists of an evaluation matrix (one spreadsheet), documents to collect necessary data to conduct the evaluation (one spreadsheet and one text document) and a guidance for potential users. Evaluation results are automatically generated and displayed in graphical representations. The tool was effectively applied to surveillance of different type of health hazards (antimicrobial resistance, foodborne pathogens and zoonotic diseases) and in different surveillance contexts (well-established surveillance systems and in-development ones), both in developed and developing countries.

Conclusion
ECoSur is the first evaluation that allows an in-depth evaluation of collaboration between surveillance programmes in line with the One Health context. The tools has provided evidence of its applicability and adaptability, as well as its capacity to engage surveillance actors in the evaluation of the surveillance system they are involved in and in the formulation of collective recommendations

Key words: collaboration, evaluation, multisectoral, One Health, surveillance.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b838af4f-bddf-4b1b-84d6-642a51a831fd","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Marion Bordier","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing the efficacy of oxytocin administration on farrowing sows: a systematic review and meta-analysis\r\n","PresentationBio":null,"Title":"Ms.","FirstName":"Sarah","LastName":"Hill","Position":"PhD Candidate","Organization":"University Of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":118,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The objective of this systematic review and meta-analysis was to identify the benefits or negative aspects of administering oxytocin to sows at farrowing. The specific questions addressed: 1) Were there negative consequences associated with administering oxytocin to sows at farrowing? 2) What was the comparative effectiveness of oxytocin treatment compared to controls regarding number of stillbirths and piglet viability? For questions 1 and 2, the dosage, sow parity, and reason for oxytocin administration was noted.
Methods: Randomized controlled trials published in English between 1970 and July 2020 were eligible for inclusion. Eligible trials needed to contain the PICO elements: Population (P): sows at farrowing; Intervention (I): oxytocin given to sows; Comparator (C): sows at farrowing not given oxytocin; Outcomes (O): stillbirths, farrowing performance, and piglet viability. Assessment of risk of bias at the study-level was performed using a modified Cochrane 2.0 ROB. Meta-analyses were performed examining the outcomes between intervention and comparator groups using random effect standardized mean difference models. To explore heterogeneity, a sub-group analysis was performed on study objective, dose of oxytocin, and time and route of administration.
Results: Among the 46 studies eligible for meta-analyses, 24 had sufficient information. The pooled analyses of the random effect model demonstrated the intervention group had greater incidence of stillbirths (SMD = 0.23; 95% CI = 0.1, 0.36). Farrowing duration (SMD = -8.4; 95% CI = -1.1, -0.60) and birth interval (SMD = -1.41; 95% CI = -1.86, -0.97) were shorter in the intervention group.
Conclusion: The administration of oxytocin at farrowing increases the overall number of stillborn piglets but decreases farrowing duration and birth interval between piglets, however, more studies are needed to assess the efficacy of oxytocin on sows experiencing dystocia.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","19e01dc9-22cb-4850-9e42-985898b24c36","3c19c60b-bf2c-4701-b93e-3b18208e3913","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Sarah Hill","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Frequent seroconversion, but low virus excretion in domestic cats after exposure to SARS-CoV-2 in their households ","PresentationBio":null,"Title":"Mx.","FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Professor","Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c05c13269af04c8b89bd3daae8f29388","IsPresentingAuthor":false,"Order":120,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The COVID-19 pandemic likely originated from SARS-CoV-2 circulating in an animal reservoir. To date at least 29 animal species have been reported as susceptible to infection e, most often through contact with infected humans. This study investigated the risk of SARS-CoV-2 infection in domestic cats residing in households with at least one recently laboratory-confirmed human COVID-19 case.

The study was conducted in Quebec (Qc) and British-Columbia (BC) between January and December 2021. Forty-two cats from 31 households (Qc) and 14 cats from 8 households (BC) with one or more human COVID-19 cases laboratory-confirmed in the prior 9 days were recruited. Oronasal and rectal swabs, as well as sera were collected from cats as soon as possible after human case confirmation and after one week. RT- qPCR was used to detect SARS-CoV-2 RNA in swabs (Ct values< 35 were considered positive) and a conventional ELISA developed at Guelpĥ University was used to detect IgG antibodies in sera.

The delay between human case confirmation and first sampling in each cat varied from 1 to 9 days (mean: 4 days in Qc and 7 days in BC). Overall, 10/56 (17.9%) cats had at least one RT-qPCR positive sample (7 from Qc and 3 from BC). In SARS-CoV-2 positive cats, Ct values ranged from 26.5 to 34.1 (median 33.4). More than two-thirds of cats (36/52; 69.2%) had at least one positive serology result. The probability of a positive RT-qPCR result was 5.6 times higher in cats with clinical signs compatible with COVID-19 (including lethargy, sneezing, coughing, nasal and eye discharge and/or vomiting) reported by their owners.

This study suggests that infection of domestic cats with SARS-CoV-2 in households with human COVID-19 cases is frequent but that virus excretion is generally low, even if sampled shortly after confirmation of exposure.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","7f76020c-d489-4456-9d83-b398a3eb966f","df5d618c-3702-4d9c-95b6-0ad39c8b6184","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mx. Cécile Aenishaenslin","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Overcoming barriers for a One Health approach to WaSH interventions in Burkina Faso, Kenya and Mozambique ","PresentationBio":null,"Title":"Dr.","FirstName":"Sara","LastName":"Lysholm","Position":"","Organization":"Swedish University of Agricultural Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":122,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Here we describe a new international project and network for linking two fields of research and development; WaSH and One Health. Water, sanitation and hygiene (WaSH) interventions play critical roles in achieving the sustainable development goals, in particular the goals on no poverty (SDG1), zero hunger (SDG2) and good health and wellbeing (SDG3). WaSH interventions effectively minimize infectious diseases, the need for antibiotic treatments, and thereby also the selective pressure for resistant bacteria and development of antimicrobial resistance (AMR). However, WaSH interventions tend to focus on people and disregard the role of animals and the environment in the development and spread of infectious diseases and AMR. To better incorporate these aspects, a holistic One Health approach, that goes beyond the traditional domains of WaSH, is needed.
The aim of this project is to establish a transdisciplinary network of Swedish and international collaborators in Burkina Faso, Kenya and Mozambique and develop novel concepts in applying a One Health approach to WaSH. By enabling knowledge exchange and stimulating a science-policy dialogue, the project is contributing to capacity development in addressing neglected links between One Health and WaSH. The network is organizing thematic webinars for awareness raising and sharing of lessons learned on the importance of WaSH interventions in limiting the spread of infectious diseases and AMR. The project is also supporting small scoping studies in each of the collaborating countries, where gaps in research and policy are investigated and potential opportunities to strengthen cross-sectoral WaSH interventions are captured. In summary, by stimulating transdisciplinary conversations, this project seeks to investigate enablers and barriers to applying a One Health framing to WaSH. Through facilitating the inclusion of the neglected links between WaSH interventions and human, animal and environmental health, this project can contribute to reduce the burden of diseases and AMR. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Sara Lysholm","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Demonstrating the impact of industry and governmental controls of Salmonella in chicken using source attribution","PresentationBio":null,"Title":"Dr.","FirstName":"André","LastName":"Ravel","Position":"Professor","Organization":"Université De Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":124,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Salmonellosis incidence has been at elevated levels in Canada for the past decade. Industry and government interventions were implemented during this period for broiler chickens that targeted specific serovars and for frozen raw breaded chicken products (FRBCP). This study aims at estimating the impact of these interventions along the chicken food chain on the percentage contribution of chicken meat products to the burden of salmonellosis.
Materials and methods : Source attribution of human salmonellosis was estimated annually based on the Salmonella subtypes detected by the Integrated (human, food, animals and water) Sentinel Site Surveillance Network for Enteric Disease in Canada, FoodNet Canada, and the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS). Annual attribution estimates were compared with the human salmonellosis incidence and with the timing of industry and government interventions along the Canadian poultry production chain (chicken vaccination; cooking of FRBCP).
Results: Overall, 64.7% of cases were attributed to chicken breast meat, followed by FRBCP (12.9%), ground chicken (9.1%). The salmonellosis incidence in the FoodNet Canada sentinel sites fell by one third with a parallel drop of one third in the percent of cases attributed to chicken breast meat between 2015 and 2019. Decreases in the contribution of many of the top serovars to the percentage of cases attributed to chicken breast meat indicate some emerging success with broiler breeder chicken vaccination programs in the provinces with FoodNet Canada sentinel sites. Preliminary analysis suggests the government intervention on FRCBP is also successful.
Conclusion: Chicken meat was the most important source of human salmonellosis, exhibiting some yearly variations overall and between specific chicken products. Industry and government interventions appear to be having a positive impact on salmonellosis cases and chicken-related serovars on retail chicken products. Demonstrating such impacts requires an integrated surveillance system allowing precise source attribution.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. André Ravel","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantitative risk assessment of human exposure to Mycobacterium avium subsp. paratuberculosis (MAP) in milk","PresentationBio":null,"Title":"Dr.","FirstName":"Tanja","LastName":"Knific","Position":"Researcher","Organization":"University of Ljubljana, Veterinary Faculty","PhotoUrl":null,"IsPresentingAuthor":false,"Order":125,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Although Mycobacterium avium subsp. paratuberculosis (MAP) is not yet recognised as a zoonosis, the growing number of scientific publications suggests a link with Crohn's disease and various other human diseases. Cattle are believed to be the main source of MAP for humans. To prevent a potential public health scare and safeguard farmers' livelihoods, the risk of exposure via milk should be better understood, especially as the dairy industry is likely to suffer the greatest financial losses.
The stochastic quantitative risk assessment model using Monte Carlo simulations was developed in the @RISK programme. We focused on raw, pasteurised, and UHT milk based on production and consumption trends in Slovenia and data availability on survival of MAP during milk processing. Data on herd size, milk production, silo size and milk consumption were obtained from the competent Slovenian authorities and refer to 2018. Prevalence within and between herds was based on our previous modeling studies. Data on MAP shedding, milk contamination and MAP reduction were taken from the literature and supported by expert opinion.
The results showed that the risk of exposure to MAP was high when raw milk was consumed. If the milk on MAP positive farm was pasteurized, the risk was significantly reduced, but not entirely. The risk of exposure via retail milk was most likely insignificant, as MAP is diluted in the milk silo. However, if the prevalence of MAP were higher in the cattle population, the risk of exposure would also increase. We estimated that given the assumptions and uncertainties, the overall risk of exposure to MAP via milk for Slovenian consumers was low.
This study provides a good starting point for possible risk reduction efforts. In addition to heat treatment of milk, efforts should also be made to reduce the prevalence of paratuberculosis in cattle herds.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Tanja Knific","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Causal Analysis of Trade Cost from Pests and Pathogens: A Global Study of Foot and Mouth Disease Impacts on Meat Exports \r\n","PresentationBio":null,"Title":"Mr.","FirstName":"Mohammad Maksudur","LastName":"Rahman","Position":"Phd Student","Organization":"Washington State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":126,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The highly infectious nature of many animal diseases triggers policy interventions restricting transboundary trade with significant impacts on exports. The impacts are possibly asymmetric; newly infected countries immediately experience a sharp decline in trade while recovering from the disease does not raise the trade to the pre-outbreak level. The impacts are also heterogeneous; FMD-endemic and FMD-free countries face different challenges during an outbreak. We identify and quantify the global impacts of the Foot and Mouth Disease (FMD) outbreaks on meat exports using panel data from 178 OIE member countries during the period 1996 to 2016.

We adopt a design-based causal inference approach that considers animal disease outbreaks over time as non-staggered binary treatments with the potential for switching in (new outbreak) and out of treatment (recovery) within the sample period. The outcome evolution of switchers and non-switchers identifies the treatment effects. Using a recently proposed dynamic difference-in-differences (DiD) estimator robust to group and time heterogeneity, we estimate the treatment effects that decompose into ‘joiner’ (switch in) and ‘leaver’ (switch out) effects.

We find that the negative effects of an outbreak on meat exports last for multiple periods after an outbreak. The outbreak decreases meat export by 31,000 to 75,000 tons per year (23% - 56% of mean annual meat export) in the 5 years following an outbreak, which is brought about by a decline in the joiners’ meat exports while the leavers do not recover the export losses even after 5 years. The average effect is estimated at about 54,000 tons per outbreak, resulting in an export revenue loss of $162 million.

The asymmetric trade costs imply a significant disease burden on the endemic regions. The evidence also confirms long-term trade costs of animal diseases that last at least 5 years after the disease incidence.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","33998207-8c57-4717-9114-ccf9182e92bf"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Mohammad Maksudur Rahman","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Detecting Mycoplasma bovis in pooled respiratory samples from cattle","PresentationBio":null,"Title":"Ms.","FirstName":"Morgan","LastName":"Lehmann","Position":"Undergraduate Summer Student","Organization":"Western College of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c7bf151d81434ac5be23f4e5b45da085","IsPresentingAuthor":false,"Order":127,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Mycoplasma bovis is a bacterial pathogen contributing to Bovine Respiratory Disease (BRD). Prevalence of M. bovis can be useful to predict the risk of BRD; however, individual sample analysis is costly and time consuming. Our objective was to determine whether sample pooling accurately identifies the pathogen load of this organism in respiratory samples from a given population. We hypothesized that testing pooled samples may allow for faster and more economically efficient detection of low prevalence pathogens.

Materials and methods:
1600 deep nasopharyngeal swabs were collected from newly arrived feedlot calves with mixed backgrounds. Raw samples were sequentially combined into pools of 10 (n=160) as the sample were initially processed irrespective of individual sample pathogen status. DNA from individual and pooled samples was extracted for comparison by a probe-based real-time quantitative PCR assay. Serial titration determined a limit of detection of 10-100 bacterial genome copies. Culture results from PCR positive samples and a random subset of PCR negative samples are pending.

Preliminary results:
We detected Mycoplasma bovis in 17 of 47 pools that contained at least 1 sample that was positive based on individual PCR. Limited sensitivity is likely due to low detectable pathogen load across most individual samples in this healthy near arrival population combined with a dilution effect of sample pooling. The introduction of PCR inhibitors from one or more samples of the 10 is also possible.

Conclusion:
While pooling strategies may be an effective way to identify the presence of M. bovis, improving the speed and decreasing the costs associated with sample processing, smaller pool sizes might allow for better sensitivity. This strategy could allow us to determine presence and prevalence of this pathogen agent and provide additional data for risk assessment in on-arrival feedlot cattle.

Keywords: Mycoplasma bovis, pooling, rt-qPCR, cattle","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Morgan Lehmann","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","StartTimeString":"4:30 PM","EndTimeString":"5:30 PM","StartToEndTimeString":"4:30 PM - 5:30 PM","StartToEndTimeSortString":"4:30 PM - 5:30 PM","DisplayDetails":"Poster Session Tuesday","DateString":"Tuesday, August 9, 2022","ShortDateString":"Tue Aug 09, 2022","StartToEndTimeString2":"4:30 PM - 5:30 PM","StartTimeOverrideString":"4:30 PM","EndTimeOverrideString":"5:30 PM","StartToEndTimeOverrideString2":"4:30 PM - 5:30 PM","BaseStartDateTime":"2022-08-09T16:30:00+00:00","BaseEndDateTime":"2022-08-09T17:30:00+00:00","BaseStartDateTimeOverride":"2022-08-09T16:30:00+00:00","BaseEndDateTimeOverride":"2022-08-09T17:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-09T19:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-09T20:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-09T19:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-09T20:30:00.0000000+00:00"},{"Id":"8ec461fc-4eff-4dcd-bb95-b1cfc51fe81b","SessionBlockId":null,"Name":"Registration Desk open (Wednesday)","IsSession":false,"ShowTimes":true,"Date":"2022-08-10T00:00:00+00:00","StartTime":"08:00:00","EndTime":"14:00:00","StartTimeOverride":"08:00:00","EndTimeOverride":"14:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[],"SessionName":null,"TextColor":"#262626","AgendaTypeName":"Information","BackgroundColor":"#D9D9D9","Location":null,"Track":null,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":false,"MergedSessionId":"8ec461fc-4eff-4dcd-bb95-b1cfc51fe81b","StartTimeString":"8:00 AM","EndTimeString":"2:00 PM","StartToEndTimeString":"8:00 AM - 2:00 PM","StartToEndTimeSortString":"8:00 AM - 2:00 PM","DisplayDetails":"Registration Desk open (Wednesday)","DateString":"Wednesday, August 10, 2022","ShortDateString":"Wed Aug 10, 2022","StartToEndTimeString2":"8:00 AM - 2:00 PM","StartTimeOverrideString":"8:00 AM","EndTimeOverrideString":"2:00 PM","StartToEndTimeOverrideString2":"8:00 AM - 2:00 PM","BaseStartDateTime":"2022-08-10T08:00:00+00:00","BaseEndDateTime":"2022-08-10T14:00:00+00:00","BaseStartDateTimeOverride":"2022-08-10T08:00:00+00:00","BaseEndDateTimeOverride":"2022-08-10T14:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-10T11:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-10T17:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-10T11:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-10T17:00:00.0000000+00:00"},{"Id":"e76b7310-b814-435c-9b30-fc714d45b57e","SessionBlockId":null,"Name":"KEYNOTE Contributions of Epidemiology to Fish Health and Infectious Disease in the Face of Climate Change","IsSession":true,"ShowTimes":true,"Date":"2022-08-10T00:00:00+00:00","StartTime":"08:30:00","EndTime":"09:30:00","StartTimeOverride":"08:30:00","EndTimeOverride":"09:30:00","Details":"","Overview":"Speaker: Dr. Mona Dverdal Jansen","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#DF2D46","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Contributions of Epidemiology to Fish Health and Infectious Disease in the Face of Climate Change","PresentationBio":"Dr. Mona Dverdal Jansen is a veterinary epidemiologist working at the Norwegian Veterinary Institute. She works on a diverse range of epidemiological aspect in relation to salmonid aquaculture, including surveillance and control of infectious diseases and diagnostic test evaluations. In addition, she contributes to other areas of aquaculture research, including life cycle assessments and economic impact assessments. A significant part of her work is related to research and support under the OIE Collaborating Centre for Epidemiology and Risk Assessment of Aquatic Animal Diseases (Europe). Areas of work include biosecurity assessments, descriptive and analytical epidemiological investigations, surveillance system designs and economic impact assessments in African and Asian aquaculture.","Title":"Dr.","FirstName":"Mona","LastName":"Dverdal Jansen","Position":"Researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6b0bd84d92ca4cc4b1e96ebbf19126ef","IsPresentingAuthor":false,"Order":null,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Climate change is predicted to significantly affect both marine and freshwater environments, with subsequent impacts on both wild and farmed fish populations. In combination with increased resource competition, this is a One Health challenge that may ultimately threaten aquatic food system security and sustainability. However, there are significant variation in vulnerability depending on geographical location and, for farmed populations, aquaculture type. It is expected that climate change will increase the geographic range, seasonality and intensity of transmission of many infectious diseases. At the same time, warming sea temperatures may reduce the impact of some diseases currently affecting aquatic species in cooler waters. Exotic, emerging, and new diseases are likely to become an increasing challenge, as is non-infectious challenges such as harmful algal blooms. Increased transboundary movement of stocks may exacerbate disease emergence and facilitate the spread of infectious agents. Resource competition, flooding and increased risk of escapees may result in reduced biosecurity and facilitate disease spread between populations.
Epidemiologists have key competences that must be utilised to predict and reduce the consequences of climate change on fish health and welfare. Existing and predicted data should be used to model expected impacts on fish populations and explore the likely effects of possible mitigation and adaptation policies. An improved, common understanding of likely scenarios amongst researchers, policy makers and industry actors will facilitate identification of possible actions. By identifying knowledge gaps as early as possible, required research and capacity building activities may be initiated to meet future needs. Enhanced surveillance and monitoring of aquatic animal disease events across species and production systems is required to further our understanding of the global burden of aquatic animal diseases. Increased interdisciplinary research, as well as international, national and local collaboration, and improved sharing of available knowledge is essential for risk assessments and identification of cost-effective mitigation and adaptation strategies. Ultimately, such collaborative efforts should facilitate preparedness amongst research communities, policy makers and industry actors to ensure the sustainability and resilience of aquaculture and aquatic food systems in the face of climate change.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mona Dverdal Jansen","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"6c75b0c5-06ed-43e4-bb35-1ad95ff8b481","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-10T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e76b7310-b814-435c-9b30-fc714d45b57e","StartTimeString":"8:30 AM","EndTimeString":"9:30 AM","StartToEndTimeString":"8:30 AM - 9:30 AM","StartToEndTimeSortString":"8:30 AM - 9:30 AM","DisplayDetails":"KEYNOTE Contributions of Epidemiology to Fish Health and Infectious Disease in the Face of Climate Change
Speaker: Dr. Mona Dverdal Jansen","DateString":"Wednesday, August 10, 2022","ShortDateString":"Wed Aug 10, 2022","StartToEndTimeString2":"8:30 AM - 9:30 AM","StartTimeOverrideString":"8:30 AM","EndTimeOverrideString":"9:30 AM","StartToEndTimeOverrideString2":"8:30 AM - 9:30 AM","BaseStartDateTime":"2022-08-10T08:30:00+00:00","BaseEndDateTime":"2022-08-10T09:30:00+00:00","BaseStartDateTimeOverride":"2022-08-10T08:30:00+00:00","BaseEndDateTimeOverride":"2022-08-10T09:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-10T11:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-10T12:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-10T11:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-10T12:30:00.0000000+00:00"},{"Id":"1b3b90ab-2f0a-42cc-a865-b1a48ae666b9","SessionBlockId":null,"Name":"Wednesday AM Bio Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-10T00:00:00+00:00","StartTime":"09:30:00","EndTime":"10:00:00","StartTimeOverride":"09:30:00","EndTimeOverride":"10:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom Salon","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"6c75b0c5-06ed-43e4-bb35-1ad95ff8b481","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-10T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"1b3b90ab-2f0a-42cc-a865-b1a48ae666b9","StartTimeString":"9:30 AM","EndTimeString":"10:00 AM","StartToEndTimeString":"9:30 AM - 10:00 AM","StartToEndTimeSortString":"9:30 AM - 10:00 AM","DisplayDetails":"Wednesday AM Bio Break │ Exhibits","DateString":"Wednesday, August 10, 2022","ShortDateString":"Wed Aug 10, 2022","StartToEndTimeString2":"9:30 AM - 10:00 AM","StartTimeOverrideString":"9:30 AM","EndTimeOverrideString":"10:00 AM","StartToEndTimeOverrideString2":"9:30 AM - 10:00 AM","BaseStartDateTime":"2022-08-10T09:30:00+00:00","BaseEndDateTime":"2022-08-10T10:00:00+00:00","BaseStartDateTimeOverride":"2022-08-10T09:30:00+00:00","BaseEndDateTimeOverride":"2022-08-10T10:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-10T12:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-10T13:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-10T12:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-10T13:00:00.0000000+00:00"},{"Id":"cc7a8d79-a5d9-425d-85cb-1529a5b8b0dc","SessionBlockId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","Name":"Breakout Session 7.E - Animal welfare","IsSession":true,"ShowTimes":true,"Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A behavioural study to evaluate positive welfare in dairy cows ","PresentationBio":null,"Title":"Miss","FirstName":"Alison","LastName":"Russell","Position":"","Organization":"The University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The objective of this research was to evaluate the use of novel enrichment, a suggested way of enhancing positive experiences, through environmental choice and exploration, in a commercial herd of housed dairy cattle. A secondary objective was to assess whether novel enrichment had a specific impact on reducing boredom associated behaviours displayed by the cows.

Materials and methods
Two separate groups of 37 adult dairy cows of mixed age and stage of lactation, were recruited to repeat one experimental trial. Cows were commercially housed and managed in line with standard procedures at The University of Nottingham Centre for Dairy Science Innovation. Each trial ran for 6 weeks and consisted of an initial baseline week, 3 weeks of 24-hour access to a novel object (hanging inflated sailing buoy) in the housed environment and a final baseline period with no intervention. Cow behaviour was monitored and analysed from video footage collected 24 hours a day throughout the study.

Results
Every cow in both trial groups physically interacted with the novel object. The percentage of cows in trial 1 that used the novel object was 88.9% in week 1, 85.7% week 2, 82.86% week 3. The percentage of cows in trial 2 that used the novel object was 94.6% week 1, 89.2% week 2 and 83.3% week 3. Two boredom-associated behaviours significantly decreased (P<0.05) when the object was present compared to when it was not present; ‘idling’ behaviour and unsuccessful robotic milking attempts. In addition, there was a significant increase in the number of times cows self-groomed during weeks 1-3, when the buoy was present (P<0.05), a behaviour commonly considered associated with a positive affective state.

Conclusions
A simple, low maintenance and commercially practical enrichment reduced boredom-associated behaviours and facilitated positive experiences in housed dairy cattle.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["19e01dc9-22cb-4850-9e42-985898b24c36","8fc4d524-a96c-44ab-af7e-21be4a6db35f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Alison Russell","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"OIE Platform on Animal Welfare for Europe Survey on \r\nAnimal Welfare in Natural Disasters\r\n","PresentationBio":null,"Title":"Prof.","FirstName":"Gary","LastName":"Vroegindewey","Position":"Director","Organization":"Lincoln Memorial University College Of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/26eb2c822be44c0ea59a3e471b37e883","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"OIE Platform on Animal Welfare for Europe Survey on
Animal Welfare in Natural Disasters

1.\tObjectives
a.\tDetermine and quantify the level of capacity of Member Countries to respond to natural disasters in general and animal welfare specifically.
b.\tDetermine the types of disasters encountered.
c.\tDetermine the level of education, training, and exercising.
d.\tIdentify gaps in capacity and specific needs of Member Countries.
2.\t Materials and methods
A web-based Qualtrics survey on Animal Welfare in Natural Disasters was conducted by Lincoln Memorial University in conjunction with the World Organization for Animal Health (OIE) Platform on Animal Welfare for Europe. The fifty question survey was distributed by email link to Member Countries points of contact provide by OIE. The survey was emailed to 53 OIE European Member Countries with reminder emails to complete. Survey results were compiled and tabulated. Only aggregate data is published and presented.
3.\t Results
Forty-nine countries responded to the survey for a 92% completion rate. Floods, earthquakes and fire were the three most commonly encountered disasters. Fifty-two percent indicated they incorporated animal welfare into their disaster planning. Thirty-one percent indicated they had no or limited legal authority to manage animal emergencies in natural disasters. The species covered in national response plan ranged from laboratory animals at 17% to livestock at 48%. Eighty-two percent had no or limited standard operating procedures and 73% had no training to respond to animal welfare in disasters. Budgets, trained personnel, equipment/supplies and legal authority were the most frequently identified gaps.
4.\t Conclusion
a.\tThe survey demonstrated there is a wide range of European Member Countries capacity to respond to animal welfare in natural disasters. This provides the baseline for the OIE Platform for Animal Welfare Europe to provide focused and actionable support to Member Countries.
Key words: Disaster, Animal Welfare
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","978aef2c-117a-4e1c-b105-03f159c579de","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Gary Vroegindewey","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Smart Animal Health – The development of an animal-based and data-driven method for assessing health and welfare in farm animals","PresentationBio":null,"Title":"Dr.","FirstName":"Gertraud","LastName":"Schüpbach-Regula","Position":null,"Organization":"University of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Improving animal health and welfare in livestock production systems depends on reliable proxies for the assessment and monitoring. The aim of this project was to develop a novel method that relies on animal-based indicators and data-driven metrics for assessing the health and welfare status at farm level for the most common livestock species in Switzerland.
Method development followed a uniform multi-stage process. Scientific literature was systematically reviewed to identify potential health and welfare indicators for cattle, sheep, goats, pigs and poultry. Suitable indicators were applied in the field and compared with outcomes of the Welfare Quality® scores of a given farm. To identify farms at risk for violations of animal welfare regulations, several agricultural and animal health databases were interconnected and various supervised machine-learning techniques were applied to model the status of farms.
Literature reviews identified a variety of indicators for the different species, some of which are well established and widely used in the field, while others lack reliability or practicability or still need further validation. Data quality and availability strongly varied between animal species, with most data available for dairy cows and pigs. The machine-learning techniques used to predict farms for risk-based animal welfare inspections reached similar classification performances with sensitivities above 80%. The most important predictors were participation in federal ecological and animal welfare programs, farm demographics and farmers’ notification discipline for animal movements.
A common method with individual sets of indicators was developed for each species. The results show that models based on proxy data can achieve high correlations with animal health and welfare. Nevertheless, for sufficient validity, a combination of data-based indicators and on-farm assessments is needed. For a broad implementation of the method, a time-saving on-farm data collection is required whereby smart farming technologies have shown to be a promising approach.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gertraud Schüpbach-Regula","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"My sensor beeped: The economic and animal welfare gains","PresentationBio":null,"Title":"Mr.","FirstName":"Francis","LastName":"Edwardes","Position":"Phd Student","Organization":"Wageningen University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f8016287045e485abba3c993d5818fad","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background: Sub-optimal mobility (SOM; syn. lameness) in dairy production is a costly health condition with negative animal welfare effects. Implementing new management strategies are needed to reduce the economic burden of SOM while increasing animal welfare. Such management strategies may incorporate precision livestock farming (PLF) technologies.

Objective: The objective of our study was to assess the economic and welfare trade-offs of managing SOM with PLF technologies.

Materials and methods: We quantified herd-level SOM costs and welfare impacts with stochastic simulation modelling and drew comparisons between a farm with and without PLF technologies, i.e. automatic SOM detection sensors (ASDS). SOM was described by 5 mobility scores. SOM costs were quantified with a partial budgeting approach. Animal welfare was quantified by multiplying mobility score durations with welfare compromise weights per mobility score. We simulated 80 different scenarios for a farm with ASDS. Scenarios differed by sensor performance and SOM management strategies.

Results: Results from 41/80 scenarios showed added value in both economic and welfare domains; the optimum scenario obtained a 49% reduction in SOM costs and a 92% improvement in animal welfare. The remaining scenarios showed added value in only the economic (1/80), welfare (37/80), or neither (1/80) domain.

Conclusion: We conclude that the economic burden of SOM can be reduced while improving the overall welfare status of the herd. This can be achieved by implementing new management strategies that incorporate PLF technologies.

Keywords: Sub-optimal mobility; animal welfare; bioeconomic simulation modelling; precision livestock farming
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Objective
Smothering, a significant health and welfare issue for free-range layer poultry occurs when birds mass together, on top of one another, resulting in death from suffocation. Anecdotal reports from flock managers have been that smothering events outside a shed are more likely to occur in shadowed-areas compared with sunlit-areas. The objective of this study was to test this hypothesis.

Materials and methods
This was a 2-year prospective cohort study of 80 free-range poultry flocks from three farms, representing a total of around 1.2 million birds. At the start of the study, flock managers were asked to record the date, time and location of smothering events using a logbook system.

The unit of interest was each of the 5m × 2m ‘areas’ around the periphery of each shed, used to define the location of smothering events. We tallied the number of smothering events in each area and compared that to the total number of daylight hours at risk for that area. Based on geographical location and shed dimensions we stratified the data into shadow-positive and shadow-negative areas using 3D models of each shed and the date and time of observations for each outside shed area. The incidence-rate of smothering in shadowed-areas was compared to the incidence rate in sunlit-areas to return an incidence-rate-ratio (IRR).

Results
Smothering-IRRs for shadowed-areas was highly variable across sheds, with the IRRs of greater than unity for nine out 16 sheds with data available at the time of writing. For seven of the 16 sheds the IRR was > 2.0.

Conclusions
The strength of the association between shadowed-areas and smothering risk was highly variable across sheds. Intervention studies to limit bird access to shadowed-areas and to assess this effect on smothering incidence would be a logical extension to this work.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["19e01dc9-22cb-4850-9e42-985898b24c36","6d2507a9-e756-4ab4-ae03-e679e391c7e6","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Prabal Chowdhury","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Animal welfare policy: Challenges estimating economic impacts of transitioning laying hens to alternative housing ","PresentationBio":null,"Title":"Dr.","FirstName":"Neila","LastName":"BenSassi","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Farm animal welfare concerns primarily relate to the housing system, air quality and litter provision. Animal welfare legislation was set to require minimum standards of care providing opportunities to express normal behaviour. The Global Burden of Animal Diseases (GBADs) aims to estimate the economic impact of health loss in different production systems. This study was conducted to evaluate the economic impact of animal welfare legislation in Europe and North America. The impact of banning conventional cages and transitioning to alternative housing in egg laying hens was explored.

Material and Methods
An exploratory review of governmental and non-governmental laying hens’ welfare policies was conducted. Studies and technical reports on the economic impact of hens’ transition to alternative housing were identified using Google Scholar.

Results
Legislation compliance resulted in rising production costs with huge differences between countries. EU standards (Council Directive 1999/74/EC) banned conventional cages in 2012 which resulted in an estimated 16% increase in production costs. In North America, nearly 80% of eggs are produced in conventional cages although the transition to alternative housing is ongoing. In Canada, non-governmental organizations recommended transitioning by 2036 while a large-scale shift is planned for 2025. A low economic impact with a slightly lower feed conversion and higher mortality rates was reported. California was the first American state to impose the ban of conventional cages by 2022. Production costs were estimated to be 36% higher in alternative housing while recent studies reported a 41% increase. Additional economic losses due to compromised hens’ health including increased exposure to Salmonella and red mites, higher ammonia levels and keel bone fractures were reported in non-cage systems.

Conclusion
Market conditions, their evolution and consumer demands across countries are identified limitations for a global economic estimation of animal welfare compliance in the GBADs context.

animal welfare, economics, hens, transition.
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An Accelerated Failure Time model with survival intervals of weeks between test-days of the Milk Production Registration was applied. The data included 5,289,957 milk producing cows from 14,618 commercial dairy herds collected between 2009 and 2019. The associated cow-level risk factors for culling such as relative milk production, parities, number of inseminations (INS), fat-protein-ratio in early lactation, somatic cell count (SCC), were fitted in the model. Along with these, a factor representing three target policy periods, namely Milk Quota period (MQ), Post-Milk Quota period (PMQ) and Phosphate regulation period (PH) was fitted.
The total culling events (x 1000) varied between 232-245 in MQ, 230-300 in PMQ and 287-338 in PH as seen in the figure. The median survival of the cows decreased by 2.7 and 15.3 weeks in PMQ and PH, respectively, compared to MQ. Risk factors such as relative milk production, parity, INS, and high fat-protein-ratio were positively associated whereas SCC and low fat-protein-ratio were negatively associated with survival time in all three policy periods.
In conclusion, the survival age of cows was influenced by the agricultural policy changes and the association of cow-level risk factors for culling was consistent across the three policy periods.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/25b3bf04fd9248e49df02151da4fdce2","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","33998207-8c57-4717-9114-ccf9182e92bf","19e01dc9-22cb-4850-9e42-985898b24c36","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Pranav Shrikant Kulkarni","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"6c75b0c5-06ed-43e4-bb35-1ad95ff8b481","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-10T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 7.E - Animal welfare","DateString":"Wednesday, August 10, 2022","ShortDateString":"Wed Aug 10, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-10T10:00:00+00:00","BaseEndDateTime":"2022-08-10T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-10T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-10T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-10T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-10T15:00:00.0000000+00:00"},{"Id":"a72e676e-c7d7-4b76-8c8c-1c734d9b93aa","SessionBlockId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","Name":"Breakout Session 7.C - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","IsSession":true,"ShowTimes":true,"Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Accuracy of Tests for Diagnosis of Animal Tuberculosis: Moving Away from the Golden Calf (and towards Bayesian Models)","PresentationBio":null,"Title":"Mr.","FirstName":"Alberto","LastName":"Gómez-Buendía","Position":"Phd Student","Organization":"VISAVET Health Surveillance Centre","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/dff4784b679b4f5b95f1e7d40989ff32","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Major efforts to develop new and improved tools to detect tuberculosis (TB)-infected animals have progressed in the last decades. However, bacteriological culture, the reference test typically used to determine their diagnostic performance, is not a perfect test. In this context, the use of Bayesian Latent Class Models (BLCMs), not based on the use of a reference test, to estimate test performance is well suited and has been increasingly applied. Here, we review BLCMs and methodologies applied for TB diagnosis, along with results obtained to assess their usefulness and consistency, in particular with regards to classical estimates obtained through the use of a gold standard.

A systematic review was conducted to retrieve articles that assessed the accuracy of diagnostic tests for detection of TB in livestock or wildlife based on the use of BLCMs. Information on populations tested, models used, and posterior estimates of test accuracy were extracted from selected articles, and their quality was assessed using the STARD-BLCM guidelines.

Within the last 13 years a total of 22 articles published reported the use of BLCMs for the evaluation of TB diagnostic tests. Posterior sensitivity and specificity estimates from BLCMs-based studies deviated consistently from those obtained using a gold standard for certain antemortem tests, suggesting an overall lower sensitivity of the skin-tests (below the usually more ‘optimistic’ priors used in most studies) and serology, and a higher sensitivity of the IFN-γ assays, while agreed on postmortem diagnostic tests.

Given the limitations of all available reference tests, BLCM-based estimates may better reflect the real performance of TB diagnostic tests. In spite of the complexities of this statistical approach, its careful implementation can help to assess TB-test performance while formally considering host-specific factors through the use of newly developed models.

Keywords: Animal tuberculosis, Systematic review, Bayesian latent class model, Mycobacterium bovis, Diagnosis.
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Objectives: To describe the prevalence of Johne’s disease (JD) within Canadian beef herds and to compare the performance of serum ELISA, pooled fecal PCR and individual fecal PCR on samples collected from beef herds using Bayesian latent class models (BLCMs).

Materials and methods: The study population consisted of 159 Canadian cow-calf herds. Blood and fecal samples were collected from 20 cows per herd in the fall of 2019. All 3171 blood and fecal samples were analyzed using ELISA and PCR (pools of 5 samples). A subset of 913 fecal samples from positive and negative herds were further tested using individual PCR. Descriptive statistics were used to describe disease prevalence and BLCMs were used to estimate diagnostic test sensitivity and specificity and true prevalence.

Results: The prevalence of JD was higher in eastern compared to western Canada at animal and herd levels based on ELISA and PCR results. BLCM analysis yielded a sensitivity and specificity of 96% and 98% respectively for individual PCR at the animal level followed by pooled PCR (Se=54%, Sp=100%) and ELISA (Se=35%, Sp=99%). ELISA had a higher sensitivity (Se=79%, Sp=90%) compared to pooled PCR (Se=43%, Sp=99%) for identifying herds with at least one positive sample. Estimates for ELISA and PCR performance were similar in a model comparing pooled PCR and at least two positive ELISA samples to identify positive herds.

Conclusion: The prevalence of JD in Canadian cow-calf herds remains low. However, results suggest a potential increasing trend. ELISA was found to be effective for JD screening at the herd level while PCR was determined to be more accurate for identifying individual positive cases. Therefore, initial testing with ELISA followed by individual or pooled PCR may be a strategic testing option for identifying cases within positive beef herds.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c54f9b9d-8dfb-410e-9187-f32dd54c71fc","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Paisley Johnson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Clinical and bacteriological findings in probable septic and non-septic calves and the use of Bayesian latent class analysis (BLCA) to evaluate sepsis diagnostic tests ","PresentationBio":null,"Title":"Mrs.","FirstName":"Wendi","LastName":"Jackson","Position":"Veterinarian Specialist (epidemiology)","Organization":"UC Davis and California Department of Food and Agriculture","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): To evaluate the test accuracy of sepsis score, complete blood count (CBC), and blood culture, and to estimate sepsis prevalence in neonatal calves using BLCA; and to determine clinical and bacteriological findings in bacteremic calves.
Materials and Methods: Sixty neonatal calves (≤10 days of age) were enrolled in a prospective cross-sectional study at a calf-ranch in California. Each calf was categorized as probable septic or non-septic based on clinical assessment using a sepsis score. Blood culture and CBC were performed on all calves and pre-established criteria were used to further classify calves into binary sepsis categories. All 60 calves were cross-classified into one of eight possible test combination categories for a 3-test, 1 population BLCA model. Expert knowledge from clinicians was used for informative prior elicitation. Sensitivity analysis was performed by including dependence parameters and diffuse priors into the model. Bacterial culture, identification, and antibiotic susceptibility were performed on all positive blood culture samples.
Results: Twenty-three calves were categorized as probable septic and 37 as non-septic based on initial assessment using the sepsis score. A total of 22 calves were categorized as negative for sepsis on cross-classification for all three tests. The posterior estimate derived from BLCA for sepsis prevalence was 22% for this study population. Complete blood count performed the best of the three sepsis tests across all models for its accuracy in diagnosing sepsis. Gram-negative bacteria remain the most frequently isolated bacterial species in septic calves.
Conclusion: Neonatal calf mortality related to sepsis is a considerable problem at calf-rearing facilities. Blood culture is the gold-standard test for sepsis, but its poor sensitivity makes it an imperfect test. Utilizing BLCA, CBC had the highest accuracy and holds potential as a more timely and cost-effective tool for diagnosing septic calves.
Keywords: calf sepsis, BLCA, diagnostic accuracy, imperfect test, bacteremia","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","c54f9b9d-8dfb-410e-9187-f32dd54c71fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Wendi Jackson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The Swiss-army knife Bayesian latent class model for diagnostic test evaluation with complex data structures","PresentationBio":null,"Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Organization":"Melbourne Veterinary School","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
This paper aims to present a general form of the Bayesian latent class model for the evaluation of diagnostic test accuracy and estimation of disease prevalence with an imperfect reference test that can be applied to a variety of complex data structures, including hierarchical structuring, repeated testing, unbalanced testing designs, multiple conditionally dependent diagnostic tests and relaxation of the assumptions of constant diagnostic sensitivity and specificity.

Materials and methods
A generalized ‘modular’ approach to coding latent class models was developed with a logit function of true prevalence at its core. The code was expanded to incorporate multiple (≥3) conditionally dependent tests and their associated covariance terms and constraints, random effects for repeated measures or clustering, and factors influencing true prevalence, apparent prevalence, diagnostic sensitivity and specificity. The modular code was used on a series of case studies of varying complexity illustrating the model’s adaptable usage, expanding aspects of the code as appropriate to the data structure, including testing data on Q Fever, Mycoplasma bovis and avian, equine, and porcine influenza.

Results
The modular code facilitated Bayesian latent class modelling of five diagnostic test evaluation datasets of a broad range of diseases with diverse complex data structures. The adaptability of the approach was demonstrated through applying the same base coding framework to estimate parameters not typically estimated using simpler model structures currently in common use.

Conclusions
The code developed can be adapted to meet the growing need for advanced analytical methods to evaluate novel and new diagnostic tests for emerging diseases. Bayesian latent class analysis models that can accommodate varying complexity are becoming increasingly relevant in both the veterinary and medical disciplines.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Simon Firestone","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bayesian accuracy estimates and fit for purpose thresholds of cytology and culture of endometrial swab samples for detecting endometritis in mares","PresentationBio":null,"Title":"Mr.","FirstName":"Juan Carlos","LastName":"Arango Sabogal","Position":"Professor","Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/28295a70070c4023aa8bdb663a05b7e2","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: 1) To estimate the sensitivity (Se) and specificity (Sp) of cytology and culture of swab samples to detect endometritis in mares, using a Bayesian latent class model (BLCM).
2) To assess the impact of cytology thresholds on misclassification costs.

Materials and methods: Endometrial swab samples collected from 3,448 mares in England between 2014 and 2020 were retrospectively analyzed. Culture results were classified as positive according to three different case definitions: (A) >90% of the growth colonies were a monoculture; (B) identification of pathogenic bacteria; and (C) any growth. Endometrial smears were graded based on the percent of polymorphonuclear cells (PMN)/epithelial cells per high-power field. A hierarchical BLCM was fitted using the cross-tabulated results of the three case definitions with a cytology threshold fixed at >0.5% PMN. Fit for purpose cytology thresholds were explored using a misclassification cost analysis for different endometritis prevalences.

Results: At a threshold of >0.5% PMN, median (95% Bayesian Credible Intervals (BCI)) cytology Se estimates were 6.5% (2.2-11.6), 6.4% (2.2-10.8) and 6.3% (2.2-10.8) while cytology Sp estimates were 88.8% (83.1-94.8), 88.9% (83.9-93.8) and 88.8% (84.0-93.8), for scenarios A, B, and C, respectively. For culture, Se estimates were 37.5% (29.9-46.0), 42.3% (33.8-51.1) and 46.4% (35.7-55.9) while Sp estimates were 92.8% (84.3-99.0), 91.5% (82.5-98.0) and 90.8% (80.1-97.4), for scenarios A, B, and C, respectively. The misclassification cost term decreased as the cytology threshold increased for all scenarios and all prevalence contexts.

Conclusions: Cytology accuracy estimates were lower than previously reported for swab samples in studies using histology as the gold standard. Regardless of the endometritis population prevalence, increasing cytology thresholds would reduce the misclassification costs associated with false-positive mares contributing to good antibiotic stewardship.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","a40f7453-5dfa-4c22-bf36-4e487526f525","c54f9b9d-8dfb-410e-9187-f32dd54c71fc","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Juan Carlos Arango Sabogal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluation of three commercial ELISA tests for serological detection of maedi-visna virus using Bayesian latent class analysis","PresentationBio":null,"Title":"Ms.","FirstName":"Anniken","LastName":"Jerre","Position":"","Organization":"Norwegian Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Maedi-visna virus (MVV) was detected through the national surveillance program in Norway in 2019, 14 years after the last detection. The virus has probably circulated despite continuous surveillance. In order to improve the surveillance program, we need a better understanding of test performance. This study aims to evaluate three commercial ELISAs to detect antibodies against MVV.

Materials and methods
We conducted a retrospective study using serum samples from the 2019 outbreak. In total, we used 615 samples originating from six herds diagnosed with MVV. We ran all samples with three tests: ID Screen® MVV/CAEV Indirect kit (IDvet Grabels, France), MVV/CAEV p28 Ab Verification Test (IDEXX Laboratories, Maine, USA) and Elitest MVV/CAEV (Hyphen Biomed, Neuville-sur-Oise, France), hereinafter referred to as test A, B and C respectively. Without a perfect reference test, we used Bayesian latent class analysis, including conditional dependence between tests, to estimate diagnostic accuracy and true prevalence in the herds.

Results
We found that test A had the highest median Se (A 99.3% [97.5-100.0 95% Posterior Credible Interval], B 79.5% [72.3-86.1] and C 97.4% [94.1-99.7]), while test B had the highest median Sp (A 99.1% [98.1-99.9], B 99.7% [99.1-100.0] and C 93.6% [91.4-95.8]). The estimated true prevalence in the six herds ranged from a median of 0.8% to 93.5%.

Conclusion
No single test had the highest estimates for both Se and Sp. The high sensitivity of test A in our study confirms that it is a good choice for screening in the Norwegian sheep population. However, verification of positive samples with a second test may be relevant if strict control measures are to be implemented. The estimated true prevalence in the six herds had a wide range, showing the need for a testing regime that can detect herds with low prevalence.

Keywords: Ovine, diagnostic test evaluation, sensitivity, specificity

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","7d91534a-2f2b-447f-830f-6178f301b1a3","c54f9b9d-8dfb-410e-9187-f32dd54c71fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Anniken Jerre","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modeling the accuracy of a novel ELISA for African swine fever virus antibody and PCR using Bayesian latent class analysis","PresentationBio":null,"Title":"Dr.","FirstName":"Rachel","LastName":"Schambow","Position":"","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/400fd8a9b74f4243b1c4dc8bffbda79a","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background: Traditionally, the accuracy of new or alterative diagnostic tests is determined by comparison to a gold standard reference test. For African swine fever virus (ASFV), no suitable gold standard reference exists, creating difficulty in evaluating new diagnostic assays. Bayesian latent class analysis (BLCA) uses the results of multiple imperfect tests applied to an individual to estimate the diagnostic sensitivity and specificity of each test, forgoing the need for a gold standard reference.

Objectives: We used BLCA to assess the diagnostic sensitivity and specificity of a novel indirect ELISA (iELISA) for ASFV antibody and a real-time qPCR assay on paired serum and oral fluid samples.

Methods: Using a cross-sectional design, 398 paired serum/oral fluid samples were collected from individual pigs in Vietnam, including 198 from ASF-acutely or chronically affected farms and 200 from ASF-unaffected farms. Samples were tested using the ASF-Ab iELISA (Innoceleris LLC. and Tetracore Inc) and qPCR (Tetracore Inc.) assays. Sensitivity and specificity were estimated by fitting a four test-three population model assuming dependence between serum/oral fluids tested using the same assay.

Results: Median posterior estimates for the sensitivity of qPCR were higher for both serum (70.3%, CI95% 63.9-76.0%) and oral fluids (53.9%, CI95% 46.7-61.0%) than of the iELISA (serum: 46.2%, CI95% 39.4-52.9%; oral fluids: 36.0%, CI95% 29.7-42.9%). Sensitivity using oral fluids was slightly worse for each test than serum. Specificity was high for each test and sample type, ranging from 98.5-99.6%. iELISA using serum and oral fluids were highly correlated. Posterior estimates were robust against changes in prior distributions.

Conclusion: Both tests and sample types performed with high specificity, though sensitivity estimates indicate that these tests may perform better using herd-level detection strategies than when applied to individual animals. Sensitivity here was likely influenced by timing of disease in individual animals and other factors.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Rachel Schambow","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"6c75b0c5-06ed-43e4-bb35-1ad95ff8b481","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-10T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 7.C - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","DateString":"Wednesday, August 10, 2022","ShortDateString":"Wed Aug 10, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-10T10:00:00+00:00","BaseEndDateTime":"2022-08-10T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-10T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-10T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-10T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-10T15:00:00.0000000+00:00"},{"Id":"1410ca0d-b8f8-4891-ba3d-4007cd4e8b2d","SessionBlockId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","Name":"Breakout Session 7.B - AMU","IsSession":true,"ShowTimes":true,"Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Genomic ASSETS for Livestock: Changing the face of antimicrobial use decisions for livestock, a scoping review","PresentationBio":null,"Title":"Mrs.","FirstName":"Olufunto","LastName":"Adewusi","Position":"Graduate Student","Organization":"University of Alberta","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/aafbb69c17b247f8974203e928c8ef0d","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Genomic ASSETS (Antimicrobial Stewardship Systems from Evidence-based Treatment Strategies) for Livestock aims to use rapid genomic technology to inform antimicrobial use (AMU) in livestock. A metagenomics-based diagnostic system will provide timely results to practicing veterinarians.

The objective of this scoping review is to synthesize available knowledge on the application of metagenomic sequencing compared to polymerase chain reaction, loop-mediated isothermal amplification, and recombinase polymerase amplification for the direct detection of bacterial respiratory pathogens and antimicrobial resistance genes in diagnostic specimens.

Materials and methods
We designed the protocol with the Genomic ASSETS team and a librarian following Joanna Briggs Institute and PRISMA guidelines. The January 15, 2021 search was updated on January 19, 2022, using five databases – MEDLINE®, AGRICOLA™, BIOSIS Previews®, CABI and EMBASE®. Inclusion criteria comprised studies of metagenomics applied to bacterial respiratory pathogens that reported the (meta)genomic Experiments (MIMS) or Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) without the restriction of language or study location.

Results
Two reviewers screened 4,574 deduplicated articles (Fig. 1). Currently, there are 271 full articles for data extraction, and screening is ongoing based on the updated search. We will report on specific indications, populations, techniques, test comparisons, and current challenges.

Conclusion
Genomic ASSETS will change how we make AMU decisions for livestock by providing rapid, robust diagnostic information to end-users. This review will inform the ongoing development of genomic methods for this system.

Keywords: diagnostic testing, antimicrobial use/stewardship, (meta)genomics","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c1f39bf5c4f5492d9a98f90f35b928f2","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","8fc4d524-a96c-44ab-af7e-21be4a6db35f","43f42602-f380-4a8a-9da3-ce05b383dc09","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Olufunto Adewusi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Effect of selective clinical mastitis treatments on cure, somatic cell count, recurrence and culling: systematic review and meta-analysis","PresentationBio":null,"Title":"Ms.","FirstName":"Ellen","LastName":"De Jong","Position":"Phd Candidate","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives. Clinical mastitis (CM) treatments greatly contribute to antimicrobial use on dairy farms. Selective treatment of CM can reduce antimicrobial use, as only CM cases identified as Gram-positive benefit of antimicrobial treatment. Impacts of selective CM treatment on udder health and culling are not fully understood.

Methods. A systematic search identified 12 studies that compared selective versus blanket CM treatment protocols. Reported outcomes were synthesised with random-effects models and presented as risk ratios (RR) or mean differences (MD) with their 95% confidence intervals (CI).

Results. A selective treatment protocol of CM was not inferior to a blanket treatment protocol for bacteriological cure (RR 1.09; 95% CI: 0.87 – 1.36). Cases in the selective treatment group experienced a higher clinical cure within 14 d (RR 0.75; 95% CI: 0.58 – 0.97) and 0.4 d longer till clinical cure (95% CI: 0.19 – 0.69), but these results were confounded by co-administration of NSAIDs in this group compared with no use of NSAIDs in the blanket treatment group. Furthermore, there was no difference between selective and blanket treated CM cases for: proportion that developed another intramammary infection within 21 d (RR 0.96; 95% CI: 0.81 – 1.14), proportion with high somatic cell count after 21 d (RR 1.00, 95% CI: 0.94 – 1.06), average somatic cell score (MD 0.03; 95% CI: -0.23 – 0.29), average milk yield (MD 0.25, 95% CI: -1.05 – 1.56), recurrence (RR 0.91; 95% CI: 0.73 – 1.13) and culling (RR 0.96; 95% CI: 0.78 – 1.18). However, for these parameters non-inferiority margins could not be determined.

Conclusions. When comparing cows treated with a selective to a blanket CM treatment protocol, no differences were identified in bacteriological cure, clinical cure, intramammary infection risk, milk yield, somatic cell count, recurrence, and culling. Available data support that a selective CM treatment protocol can be adopted without negative udder health consequences.

Keywords: Antimicrobial stewardship, on-farm culture, clinical mastitis, selective treatment, dairy cows","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Ellen De Jong","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Multi-actor farm health teams – a promising approach aimed at improving antimicrobial use practices ","PresentationBio":null,"Title":"Miss","FirstName":"Helena","LastName":"Ferreira","Position":"Researcher","Organization":"ILVO","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
In an effort to tackle the problem of antibiotic use (AMU), several strategies have been put forward, namely bottom-up approaches that focus on the coaching, education and dissemination of innovative solutions to farmers and other stakeholders involved in animal production. In this action research study we demonstrate how a multi-actor farm health (MAFH) approach has been implemented in different types of farms across Europe
Materials and methods
MAFH teams (MAFHT) were created within the DISARM thematic network, composed of the three core interested parties (farmer/farm manager, feed/other advisor, veterinarian) with the help of a project facilitator. In total, 42 pilot farms in 9 European countries (Belgium, Denmark, France, Greece, Netherlands, Latvia, Romania, Spain, UK) were involved. The MAFHT focused on pigs (Netherlands and Spain), poultry (Belgium and Latvia), dairy cattle (Denmark, Romania and UK) and dairy sheep (France and Greece). A common, structured approach was followed when addressing challenges and proposing solutions. Data was also collected on perceptions of the economic impact of reduced antimicrobial use.
Results
Most case studies show overwhelmingly positive impact in the reduction of antimicrobial use (AMU) through coaching with MAFHT after 2 years. Farmers recognized the importance of the MAFHT in identifying critical animal health problems and alternatives or improved procedures that could be employed when aiming to reduce AMU on their farms. Based on the experiences of the MAFHT, an educational tool has been developed (DISARM toolbox) to facilitate coaching activities and empower farmers/farm managers in creating their own multi-actor farm health teams.
Conclusion
In this paper we describe how to successfully implement a coaching strategy, aimed at reducing AMU in different European countries and different animal production systems. The study shows that the MAFHT approach can be perceived as useful for farmers, therefore playing an instrumental role in the fight against AMR.
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As part of a plan to combat antimicrobial resistance (AMR), health authorities have promoted reducing antimicrobial use (AMU) in agriculture. We aimed to test the efficacy of a set of information transfer activities to reduce AMU on dairy farms.
Methods
We conducted a pilot cross-over study with 13 farms from Ontario. Farmers watched three videos (each video three weeks apart) to improve AMR awareness, explain the classification of antibiotics according to their importance in human health, and present management strategies to reduce AMU on dairy farms. Additionally, using “garbage can audit” data, each producer received a report benchmarking AMU (i.e. AMU on their farm compared to other farms in Ontario). We collected empty packages of all antibiotics used on the farms for six months before and after the intervention. We calculated the Canadian defined course doses (DCD) for cattle per 100 cow-months. The Wilcoxon rank-sum test was used to compare AMU before and after the intervention.
Results
Most enrolled farms had free-stall barns (85%) and a milking parlour (54%). Participants were mostly farm owners (85%) with an average of 29 (SD=10) years of experience in dairy farming. Most (63%) participants selected the benchmarking presentation as the most relevant information offered during the study, and 61% of producers affirmed to have changed AMU procedures on their farms because of the information presented in the study. The median AMU before and after the intervention was 33 (IQR: 18-54) DCD/100 cow-months and 13 (IQR: 6-24) DCD/100 cow-months, respectively, and differed significantly (P=0.002). Use of category I and II antibiotics decreased 22% and 34%, respectively.
Conclusion
These preliminary results indicate that the combination of benchmarking and educational information may be effective in reducing AMU on dairy farms. Large-scale studies are needed to validate our results.

Keywords: AMR, benchmarking, dairy cattle, strategies
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Claudia Cobo-Angel","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Development of a new interface to monitor the use of antimicrobials by dairy farms in Quebec","PresentationBio":null,"Title":"Dr.","FirstName":"Ahmad","LastName":"Albaaj","Position":"Postdoctoral researcher","Organization":"Montreal University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"To better apply the concept of judicious use of antimicrobials, it is essential to quantify antimicrobial usage (AMU) on a farm and to compare it with AMU of other farms in the same region. What we describe here refers to the concept of benchmarking. The vast majority of Quebec veterinarians use a same software, Vet-Expert®, for their accounting. These electronic data are centralized and were shown to be excellent for monitoring AMU. Our objective was to develop a web interface allowing producers and veterinarians to compare their AMU with that of their peers.

Prior to developing the interface, we: 1) developed an algorithm, using C# language, that can identify antimicrobials sales in Vet-Expert®; and 2) validated, on 72 farms, the agreement between a manual transformation of AMU data and the transformation made using the algorithm. Then, we developed a secured, real-time Shiny R interface where a veterinarian can compare AMU of a given client, with that of other dairy producers. A participatory approach was chosen and veterinarians were involved in the development of the interface from the very beginning.

The algorithm has efficiently detected the antimicrobial agent contained in each sale and transformed it into standardized doses with an excellent concordance correlation coefficient (0.999) with the manual transformation. As for now, the Vet-Expert® dataset contained information on 3000 dairy farms, with approximately 1,8 million sales/year. Of these, 35,451 sales could be identified as antimicrobials by the algorithm. The interface offers a detailed visualization of total AMU for each farm and includes filters by antimicrobials category and by administration route. It also shows evolution of AMU through time, and provides access to the raw veterinary sales data.

This interface for monitoring AMU by producers and by veterinarians using will become an essential tool for promoting changes in AMU practices in Quebec.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ahmad Albaaj","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A genomic epidemiological investigation of the association between antimicrobial resistance and antimicrobial usage in UK livestock","PresentationBio":null,"Title":"Miss","FirstName":"Hannah","LastName":"Jones","Position":"Epidemiological Scientist","Organization":"Animal And Plant Health Agency","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ccbd85bfe225462fa64909aa497c9690","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Use genomic methodologies to explore antimicrobial resistance (AMR) in Enterobacterales from UK cattle, pig and sheep farms.

Materials and methods: Five cattle, five sheep and four pig farms were visited three times over a 12-month period. All antimicrobial usage (AMU) within the three months preceding each visit was recorded. Ten pooled samples were collected per visit, each consisting of ten pinches of floor faeces. The pooled samples were combined, diluted up to 10−5 in phosphate buffer solution and plated on to CHROMagar ECC; 14 Enterobacterales colonies were selected from each plate. Isolates were sequenced using Illumina HiSeq 4000 (short-read). Presence of acquired AMR genes for ten antimicrobial classes was determined from Illumina fastq reads using the APHA SeqFinder pipeline and Abricate. Mixed-effects logistic regression was used to investigate associations and temporal relationships between the presence of AMR genes and AMU.

Results: Pig isolates harboured a higher proportion of AMR genes to almost all (9/10) antimicrobial classes studied, and the greatest proportion of multi-drug resistant isolates, in comparison to cattle and sheep isolates. Pig and cattle farms recorded greater AMU than sheep. AMU in pigs was significantly associated with the presence of corresponding AMR genes for six antimicrobial classes. In sheep, use of aminoglycosides or non-extended-spectrum cephalosporins was associated with the presence of AMR genes to these respective classes; no significant associations were detected in cattle between AMU/AMR. Temporal trends in the type and quantity of antimicrobials used over the three visits were detected on five farms (three pig, two cattle) but AMR gene occurrence suggested no clear association between AMU/ AMR over the period studied.

Conclusion: Specific factors related to livestock host and co-selection, in addition to AMU, may play an important role in AMR and these factors will be discussed in full at the conference.

Keywords: AMR, Livestock
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","df5d618c-3702-4d9c-95b6-0ad39c8b6184","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Hannah Jones","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Reduction in Antimicrobial Use and Resistance to Salmonella, Campylobacter, and Escherichia coli in Broiler Chickens, Canada, 2013–2019","PresentationBio":null,"Title":"Miss","FirstName":"Laura","LastName":"Huber","Position":"Assistant Professor","Organization":"Auburn University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/48cf61e8c9244ff98314946ca18b95bf","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Antimicrobial use contributes to the global rise of antimicrobial resistance (AMR). In 2014, the poultry industry in Canada initiated its Antimicrobial Use Reduction Strategy to mitigate AMR in the poultry sector. We monitored trends in antimicrobial use and AMR of foodborne bacteria (Salmonella, Escherichia coli, and Campylobacter) in broiler chickens during 2013 and 2019. We quantified the effect of antimicrobial use and management factors on AMR by using LASSO regression and generalized mixed-effect models. AMR in broiler chickens declined by 6%–38% after the decrease in prophylactic antimicrobial use. However, the withdrawal of individual compounds, such as cephalosporins and fluoroquinolones, prompted an increase in use of and resistance levels for other drug classes, such as aminoglycosides. Canada’s experience with antimicrobial use reduction illustrates the potential for progressive transitions from conventional antimicrobial-dependent broiler production to more sustainable production with respect to antimicrobial use.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/354184eb9865493583cf7428e56b6a60","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","6d2507a9-e756-4ab4-ae03-e679e391c7e6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Laura Huber","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"6c75b0c5-06ed-43e4-bb35-1ad95ff8b481","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-10T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 7.B - AMU","DateString":"Wednesday, August 10, 2022","ShortDateString":"Wed Aug 10, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-10T10:00:00+00:00","BaseEndDateTime":"2022-08-10T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-10T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-10T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-10T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-10T15:00:00.0000000+00:00"},{"Id":"d7e30a9c-236f-4ba3-b0a6-7c7cd4fd235d","SessionBlockId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","Name":"Breakout Session 7.D - Infectious Disease Modeling","IsSession":true,"ShowTimes":true,"Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Descriptive analysis and mathematical modeling of multiple modes of transmission for respiratory syndrome virus dissemination dynamics in the United States","PresentationBio":null,"Title":"Mr.","FirstName":"Jason","LastName":"Galvis","Position":"Postdoctoral Researcher","Organization":"North Carolina State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Porcine reproductive and respiratory syndrome virus (PRRSV) dissemination process remains larger unknown. Here we developed and calibrated a mathematical model for transmission of PRRSV, tailored to fit nine modes of between-farm transmission pathways including: farm-to-farm proximity, contact network of batches of pigs transferred between farms, four different contact networks of transportation vehicles (vehicles to transport pigs to farms, pigs to markets, feed and crew), the amount of animal by-products within feed ingredients (e.g. animal fat), and we also accounted for re-break probabilities for farms with previous PRRSV outbreaks. The model was calibrated on weekly PRRSV outbreaks data. We assessed the role of each transmission pathway considering the dynamics of specific types of production (i.e., sow farm, nursery). Our results estimated that the networks formed by transportation vehicles were more densely connected than the network of pigs transported between-farms. The model estimated that pig movements and farm proximity were the main PRRSV transmission routes regardless of farm types, but vehicles transporting pigs to farms explained a large proportion of infections, sow = 20.9%; nursery = 15%; and finisher = 20.6%. Our model results showed that the contribution of fat and meat and bone was 2.5% and 0.03%, respectively, of the infected sow farms. Our work provides strong evidence to support the need for cautious, measured PRRSV control strategies for transportation vehicles and to some degree feed by-products. In addition to providing valuable information and opportunities for the swine industry to focus effort on the most relevant modes of PRRSV between-farm transmission.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/224b6431e05c4dffa3c4d49f18ef944d","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Jason Galvis","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A multispecies Foot-and-mouth disease (FMD) stochastic model to quantify the contribution of different routes of transmission","PresentationBio":null,"Title":"Mr.","FirstName":"Nicolas","LastName":"Cardenas","Position":"Postdoctoral Fellow","Organization":"North Carolina State University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/74f85389586d4283b1fab81576f618a5","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Foot-and-mouth disease (FMD) is a viral infection capable of infecting and transmitting between multiple food-animal species. Mathematical models have been widely used to simulate FMD introduction and propagation scenarios; however, models often do not consider interaction and transmission dynamics among species.

Here, we developed a stochastic transmission model to quantify: i) the number of secondarily infected farms and animals of multiple species; ii) the contribution of network contact and local transmission in FMD transmission, and iii) distance in kilometers from the initial outbreak to the secondary infections.

Our model consisted of Susceptible-Exposed-Infected-Recovered (SEIR) compartments. We used real farm-level data from 2018 to 2020 to model the births, deaths, between-farm animal movements and calculated the proximity between-farms (spatial transmission), to re-create the population dynamics in each farm and between multiple species (bovine, swine, and small ruminants). Our model considered transmission rates according to each species interaction during 30 days of disease propagation.

The results from our model indicate, on average 88 bovine farms were infected, followed by 22 swine farms and one small ruminant farm. Additionally, these results suggest that spatial transmission was the main transmission route for most species. However, animal movements appeared to play an important role in FMD dissemination into swine farms.

In conclusion, our results highlight the uneven dissemination of FMD with a preference for spatial transmission, while also demonstrating that dissemination was restricted to the 20 km mark.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/219f1a1aeb09452ebe040ff3e8bdefc0","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","7d91534a-2f2b-447f-830f-6178f301b1a3","5178adf1-eaeb-4d5b-8fce-b18677488f5a","84b4edb4-71ea-4d85-9aa9-c6aaea9282ae","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Nicolas Cardenas","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluating performance of Mycobacterium avium subsp. paratuberculosis surveillance using disease spread modelling.\r\n","PresentationBio":null,"Title":"Mr.","FirstName":"Thomas","LastName":"Rosendal","Position":"Epidemiologist","Organization":"National Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/61a7f7bdf91b4a25bfdf3d7ea971207d","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives

The aim of this study was to define a model of the potential spread of Mycobacterium avium subsp. paratuberculosis (MAP) within and between Swedish cattle herds to investigate trade network features associated with spread. Also, to define a method for simulation of imperfect disease testing in a model and use this to evaluate MAP surveillance performance.

Materials and methods

A compartmental spread model was specified for Swedish cattle herds using the recorded trade network in the SimInf package in R. The within-herd spread model included 3 age categories and 4 disease states; and included horizontal and vertical transmission. Testing of individuals and herd-level testing was achieved by defining 'bookkeeping' compartments in the model for scheduling of testing and storing test results. The status of the tests were determined by the model states and the test performance. Infection was seeded in random herds to determine the key spreader herds, extent of the outbreak at surveillance detection and time to detection.

Results

The model was run over 12 years in 40349 herds with simulated bulk milk testing and individual animal testing. The model indicated that the spread was more extensive when the primary case was a dairy herd compared to a beef herd and that limited spread occurred between the two sectors. The surveillance by bulk milk detected the average outbreak starting in a dairy herd in 1.7 years and the average outbreaks originating in beef herds were undetected within the study period.

Conclusion

The spread of paratuberculosis in Sweden was determined to be limited by the sparse nature of the contact network and the slow disease spread. The proposed method for surveillance simulation will allow for simulation of interventions in herds following positive tests and optimisation of surveillance to meet design targets.

Key words
infectious disease modelling, simulation, surveillance evaluation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","5178adf1-eaeb-4d5b-8fce-b18677488f5a","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Thomas Rosendal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"GEM Pigs ASF - A Model to Simulate Spread of African Swine Fever in Great Britain","PresentationBio":null,"Title":"Dr.","FirstName":"Matthew","LastName":"Coleman","Position":"","Organization":"Animal And Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
African Swine Fever (ASF) is a disease of particular global concern currently, with many countries in Europe affected, and potential to spread into Great Britain (GB). The goal of this work was to create a transmission model to simulate potential ASF outbreaks in the GB domestic pig population to aid in epidemic preparedness.
Materials and Methods
The model consists of a within-herd and a between-herd component. The within herd component is a Susceptible-Exposed-Infectious-Recovered (SEIR) model, with animals divided by age group. Disease spreads between farms via (i) the movement of infected animals, and (ii) through a local spread kernel simulating other routes of transmission, such as fomites. After detection of the initial case, the model will also simulate control measures being put in place to counter the spread, through protection and surveillance zones, and the culling of animals on detected farms.
Results
The model simulates a two-year period rapidly allowing us to simulate potential outbreaks of different strains of ASF virus. We then analyse a number of key measures of outbreak size, such as the number of holdings with infected pigs and overall length of the outbreak to determine how much of an effect the virus strain has on the overall outbreak. By using different seeding locations, we also examine the effect farm type would have on the size of an outbreak.
Conclusions
We have produced a model to simulate spread of ASF in GB. The parameterisation is flexible, allowing us to examine many different outbreak possibilities and control strategies, and the framework of the model is such that it could readily be adapted for different pathogens.
Keywords: Modelling, Epidemiology, African Swine Fever","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Matthew Coleman","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatial distribution of poultry farms using point pattern modelling: a methodology to address disease transmission risks","PresentationBio":null,"Title":"Dr.","FirstName":"Marie-Cécile","LastName":"Dupas","Position":"","Organization":"Université Libre De Bruxelles","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The distribution of farm locations and sizes is paramount to characterize disease spread patterns. With some regions undergoing rapid intensification of livestock production, resulting in increased clustering of farms in peri-urban areas, measuring changes in the spatial distribution of farms is crucial to design effective interventions. However, those data are not available in many countries, their generation being resource-consuming. Here, we develop a farm distribution model (FDM), which allows predicting locations and sizes of poultry farms in countries with scarce data.

It combines (i) a Log-Gaussian Cox process model simulating the farm distribution as a spatial Poisson point process with logarithm varying intensity depending on covariates, conserving the level of clustering of spatial points patterns, and (ii) a random forest (RF) model simulating farm sizes (i.e. the number of animals per farm). Spatial predictors are used to calibrate the FDM on intensive broiler and layer farm distributions in Bangladesh, Gujarat (Indian province) and Thailand.

The LGCP and RF models yielded realistic farm distributions in terms of spatial clustering, farm locations and sizes, while providing insights on spatial analysis of the poultry production systems and spatial clustering drivers. Finally, we tested disease transmission scenarios with an individual-based model on an array of spatial distributions of farms, with transmission intensity being weighted by a spatial kernel. We found that farm distributions generated from the LGCP and RF models yielded spreading patterns consistent with simulations using observed data, while random point pattern models yielded radically different patterns. Indeed, spatial clustering increases vulnerability to epidemics, highlighting the relevance of spatial clustering and farm sizes to study epidemic spread.

As the FDM maintains a realistic distribution of farms and their size, its use to inform mathematical models of disease transmission is very relevant for regions where these data are not available.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":"mcdupas","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"mcdupas","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=mcdupas","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=mcdupas","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Marie-Cécile Dupas","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Transmission dynamics of H9N2 Avian Influenza virus in a Live-Bird market in Chattogram, Bangladesh","PresentationBio":null,"Title":"Dr.","FirstName":"Francesco","LastName":"Pinotti","Position":null,"Organization":"University of Oxford","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Multiple subtypes of Avian Influenza viruses (AIVs) are endemic in Bangladesh. Prevalence of H9N2 AIV is high in Live-Bird markets (LBMs), causing concerns about risk of reassortment and cross-species spillover events. Yet, AIV transmission dynamics remains poorly understood, and it is unclear whether amplification happens within LBMs, or outside during, e.g., transportation.

Methods: In this work, we analysed a novel dataset from a field experiment set in an LBM. There, chickens acquired from either farmers or mobile traders were caged together and tested repeatedly by RT-PCR. We fitted a mathematical model simulating the spread of AIVs in an LBM to this data. We inferred H9N2 transmission rate, and the proportion of chickens with prior exposure entering the market. Finally, we used this knowledge to assess the impact of potential interventions on transmission.

Results: We find high levels of H9N2 transmission within LBMs, with most susceptible chickens becoming exposed to the virus within a single day (Figure). Nineteen percent (9-38% 95% C.I.) of broiler chickens and 24% (17-31%) of indigenous backyard chickens were estimated to be already exposed when entering the market. High transmission levels were difficult to control with non-pharmaceutical interventions, whereas vaccinating 50% of the chickens prevented 60% of new infections within the market.

Conclusion: Our results indicate that LBMs are important hotspots for H9N2 AIV transmission, and support introduction of pre-emptive immunisation to curtail transmission.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c34ac4a890c049cab350a544df84e065","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","502f57ff-3ea6-475b-858d-340ec3e1c6e4","c54f9b9d-8dfb-410e-9187-f32dd54c71fc","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Francesco Pinotti","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Coupling experiment and field observation by mathematical modeling to understand fish disease outbreak","PresentationBio":null,"Title":"Dr.","FirstName":"Ryosuke","LastName":"Omori","Position":"","Organization":"Hokkaido University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4d40276c6e08415da33d1b732af427b6","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Epidemiological analysis of infectious diseases is the first step of infectious disease control. Generally, epidemiological analysis of infectious diseases is time-series analysis of the number of infected individuals. As for fish diseases, only the time-series data of deaths is available due to the difficulty in the diagnosis coming from unclear symptoms and cost. We constructed the framework of epidemiological analysis when only the time-series data of dead fish is available.

Material and Methods: As a case study we analyzed the time-series data of the number of deaths in outbreaks of Oncorhynchus masou virus (OMV) disease in reared rainbow trout. First, the infection experiments were conducted for understanding disease progression. We also constructed a mathematical model describing disease progression, and applied it to the data of disease progression acquired from infection experiments. Using this model, the time-series of incidence was back-calculated from the time-series of deaths in outbreaks. Applying obtained time-series of incidence to the mathematical model describing the transmission process between susceptibles and infectives, we estimated the basic reproduction number of OMV to evaluate transmissibility.

Results: The infection experiment revealed that the large fish (≥200 g) shows higher lethality rate by OMV infection compared with the small fish (<200 g). The estimated basic reproduction number of large fish is also higher than small fish. This suggest that OMV transmission among large fish is still higher than that among small fish even though the reduction of infectives due to the high lethality rate by OMV infection is taken into account.

Conclusions: Time-series of the number of deaths can be applied to the time-series analysis of a fish disease epidemic. Both experimental infection and mathematical modeling for understanding the disease progression are required to back-calculate incidence and estimate epidemiological parameters including the basic reproduction number.

Keywords: fish disease; epidemiology; mathematical modeling","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","33998207-8c57-4717-9114-ccf9182e92bf","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ryosuke Omori","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling Japanese encephalitis virus transmission dynamics and human exposure in a Cambodian rural multi-host system","PresentationBio":null,"Title":"Dr.","FirstName":"Helena","LastName":"Ladreyt","Position":"","Organization":"CIRAD","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/716a3d47566d43eb85764bd474c7fc57","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Japanese encephalitis (JE) is a vector-borne zoonosis and the leading cause of human acute encephalitis in Asia. Its epidemiological cycle is usually described as involving wild birds as reservoirs and pigs as amplifying hosts. JE is endemic in Cambodia, where it circulates in areas with low pig densities (<70 pigs per km²), and could be maintained in a multi-host system composed of pigs, but also poultry as competent hosts, and dogs, cattle and humans as non-competent hosts. We built and used a mathematical model representing Japanese Encephalitis virus (JEV) transmission in a traditional Cambodian village (calibrated with field data collected in 3 districts of Kandal province), to assess the capacity of the epidemiological system to sustain JEV transmission in villages in the 3 districts (based on R0), and to quantify human exposure. Changes in farm density and agricultural practices, or epizootics (e.g., African swine fever), can profoundly alter the composition of host communities, which could affect JEV transmission and its impact on human health: we used the model to analyze how host community composition affected R0 and human exposure. Lastly, we evaluated the potential use of dog JE seroprevalence as an indicator of human exposure to JEV. In the modeled villages, the calculated R0 ranged from 1.07 to 1.38. Predicted annual probability of human exposure ranged from 9% to 47%, and predicted average age at infection was low, between 2 and 11 years old, highlighting the risk of severe forms of JEV infection and the need to implement vaccination of children. According to the model, increasing the proportion of competent hosts induced a decrease in age at infection. Finally, the annual human exposure probability appeared linearly correlated with dog seroprevalence, suggesting that in our specific study area, dog seroprevalence would be a good proxy for human exposure. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6f53ca34b2a1418ba051e98d24f28d1a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fad4e092-eee7-46ed-b4a6-a335b0f641b7","8fc4d524-a96c-44ab-af7e-21be4a6db35f","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","43b008b2-8eab-460a-b708-b149b223981a","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","df5d618c-3702-4d9c-95b6-0ad39c8b6184","5178adf1-eaeb-4d5b-8fce-b18677488f5a","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Helena Ladreyt","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"6c75b0c5-06ed-43e4-bb35-1ad95ff8b481","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-10T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 7.D - Infectious Disease Modeling","DateString":"Wednesday, August 10, 2022","ShortDateString":"Wed Aug 10, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-10T10:00:00+00:00","BaseEndDateTime":"2022-08-10T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-10T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-10T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-10T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-10T15:00:00.0000000+00:00"},{"Id":"84014ab9-7df8-45c4-91df-995bc0c06e09","SessionBlockId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","Name":"7_Special Session: Aquatic Epidemiology for Sustainable Food Animal Production Progress, Opportunities and Challenges","IsSession":true,"ShowTimes":true,"Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":"For several years, the human population has relied more on aquaculture production than from wild fisheries. Growth in aquaculture continues in many countries, especially those in Asia and Africa, to produce healthy protein for low cost. With intensification of production and the high volume of global trade, biosecurity and managing infectious and non-infectious diseases has been a challenge complicated by climatic impact on aquatic ecosystems. Concurrently, rapid development in engineering and computing technology applied to aquatic production systems and availability of refined data from host and environmental monitoring present opportunities for epidemiological investigations.

\r\nThis special session will further stimulate the discussion and actions on the use of epidemiological research, to strengthen global collaboration and network to support sustainable growth in aquatic food animal production, from farmed and wild sources.

\r\n\r\nAGENDA
\r\nOpening remarks
\r\nPresentation Krishna Thakur
\r\nPresentation Charles Caraguel
\r\nPresentation Beibei Jia
\r\nPresentation Annette Boerlage
\r\nPanel discussion and Q&A
\r\nClosing Remarks","Overview":"Chairs: Larry Hammell & Krishna Kumar Thakur","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Climate change, infectious diseases, and other challenges impacting sustainable aquatic food animal production","PresentationBio":"Krishna Thakur is an Assistant Professor in Infectious Disease Epidemiology at the University of Prince Edward Island (UPEI) and is an emerging researcher focused on understanding the dynamics of aquatic animal diseases. He started his graduate training at Purdue University, USA as a Fulbright scholar and earned a Master's degree in Comparative Epidemiology in 2011, followed by the completion of PhD degree in Epidemiology from UPEI in 2015. He furthered his training in Aquatic Epidemiology as a Post-Doctoral Fellow and led several projects applying quantitative methods to answer questions related to health, production, the interaction between wild and farmed aquatic animals, and sustainability for a number of aquatic species, including salmon, mussel, lobster, and shrimp. He has continued working with aquatic food animals as an independent researcher which involves epidemiological investigations of diseases of aquatic animals related to shifts in the microbial community, simulation of the spread of infectious diseases in the aquatic environment, and development of algorithms for early detection of infectious shrimp diseases. He has extensive experience in collaborative transdisciplinary research involving government and aquaculture/fishery industry partners

.","Title":"Mr.","FirstName":"Krishna","LastName":"Thakur","Position":"Assistant Professor","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f785b4632c5f406e8cee6fa29a456b7f","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The global captured fishery is at an all-time low, however, the rising world population and the increase in demand for seafood have led to the rapid growth of the aquaculture industry, including net-pen-based salmon production. The aquaculture and fishing industries are challenged by changing ecosystems due to climate change as well as from an increase in the emergence, severity, and prevalence of infectious diseases in the aquatic ecosystem. The potential consequences of farming fish in the vicinity of native wild sympatric fish species is an ongoing debate and has led to the closure of some farm sites in Canada and can have ramifications for other farming regions and species in the absence of a social license. Climate change and infectious diseases are altering the population dynamics of many commercially and culturally important fisheries such as Atlantic and Pacific salmon, lobsters, etc. Many aquatic food animal diseases are associated with pronounced shifts in microbial community structures or genetic and functional changes in reservoir non-virulent progenitor variants. My talk will focus on incorporating big data along with appropriate quantitative and epidemiologic tools in describing the effects of changing ecosystem on population dynamics and infectious diseases of aquatic food animal species including lobster, salmon, and shrimp. More specifically, I will highlight some of my group’s recent work from prospective and retrospective on-farm (field) or in-silico studies to elucidate the interactions between host, pathogen(s), and environment to understand the occurrence, transmission, and risk factors associated with emerging or likely to emerging infectious diseases in salmon and shrimp aquaculture and lobster fishery.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:05:00","EndTime":"10:30:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Krishna Thakur","TimeDisplay":"10:05 AM - 10:30 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A journey in exploring the use of mortalities to investigate live fish","PresentationBio":"Dr Charles Caraguel is an Associate Professor in Veterinary Epidemiology at The University of Adelaide and is a member of the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE). Although Charles learnt about epidemiology through aquaculture health management, he now teaches and applies advanced quantitative epidemiological methods across a range of host species and health disorders. Charles' enthusiasm is contagious so please respect due social distancing when you meet him.

","Title":"Dr.","FirstName":"Charles","LastName":"Caraguel","Position":"Associate Professor","Organization":"The University of Adelaide","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f84e650d91c14a8b846454c15a3314ca","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1.Objective(s). Disease investigation of farmed fish often relies on accessing freshly dead individuals that are easier to capture, have lower value, and more likely to have experienced disease processes. However, this approach may become problematic when investigating biochemical disorders, which require analysis of fresh blood specimens. We explored the use of post-mortem vitreous humour (VH) specimens from Southern Bluefin Tunas (SBT, Thunnus maccoyii) to infer blood biochemical profiles ante-mortem.

2.Materials and Methods. First, we monitored potential changes in VH biochemical parameters at 0h, 24h and 48h after death. Then, we assessed the agreement between VH and blood biochemical parameters at harvest using concordance correlation coefficients (CCC) and Bland & Altman’s plot (BAP). Finally, we produced 95% reference intervals for SBT blood biochemiclas using the MS Excel add-on Reference Value Advisor v2.1.

3.Results. Ten biochemicals could not be measured in VH - albumin, alkaline transaminase, cholesterol, creatinine, total bilirubin, total protein, triglycerides, B-hydroxybutyrate, glutamate dehydrogenase, globulin and anion gap. Only VH amylase, glucose and sodium showed no evidence of concentration change at 24h after death relative to 0h (non-parametric P > 0.20), however, all presented significant changes at 48h after death (non-parametric P < 0.05). The comparison between the VH and blood measures showed no or poor agreement for all biochemicals (CCC ≈ 0, BAP with no horizontal line). Reference ranges were successfully generated with no evidence of sex effect but some age- and company-specific distributions were apparent for few analytes.

4.Conclusion. VH specimens from dead fish unlikely provide insights on pre-death biochemical imbalances, at least in ranched SBT. The use of reference intervals is underutilised in aquaculture health management first because of its logistic implications but also because its inherent lack of generalisability (i.e. strong dependence with husbandry practices).

Keywords: Southern bluefin tuna, biochemistry, vitreous humour, reference interval","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:30:00","EndTime":"10:55:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Charles Caraguel","TimeDisplay":"10:30 AM - 10:55 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Stakeholder approach and sustainable aquaculture: Perspectives from the Asia-Pacific region","PresentationBio":"Dr. Jia Beibei is an Assistant Professor of Aquatic Epidemiology at the Atlantic Veterinary College (AVC), University of Prince Edward Island. In addition to a veterinary degree, she holds masters degrees in preventive veterinary medicine and veterinary public health and PhD in veterinary epidemiology. She works on health management of farmed fish, including warm-water finfish species and Atlantic salmon. Her PhD thesis in 2016 involved aquaculture stakeholders in China and sustainable development challenges, including biosecurity and cost-return analysis of fish farmers, economic losses during fish transportation, and mortality risk factors for diseases of grass carp. Following postdoctoral training in aquatic epidemiology at AVC, her research has more recently involved salmonid production diseases. Her research focus continues to be on stakeholder engagement to improve sustainable development synergies between health research and production practices in aquaculture. She has also served as national veterinary epidemiologist at several international organizations including Food and Agriculture Organization, World Health Organization, and International Livestock Research Institute, using international perspectives for epidemiology capacity building and knowledge transfer to geographically dispersed audiences.

","Title":"Dr.","FirstName":"Beibei","LastName":"Jia","Position":"Assistant Professor","Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"More than half of the world’s human consumption of fish and other aquatic food now arises from aquaculture and the Asia-Pacific region is the dominant producer globally. The United Nations Sustainable Development Goals (SDGs) identify their three pillars to be economic development, social development, and environmental protection. Aquaculture is an important sector helping to achieve several of the SDGs by 2030.
China, the regional and global aquaculture leader, has recently adopted the legal framework to incorporate the SDG goals in its national strategic guidelines for aquaculture development. Major trends for aquaculture stakeholders in China are green development and digitalization of aquaculture. Extensive digital measurement of environmental factors has afforded stakeholders many opportunities to adapt their production for more efficient production. However, prominent challenges in risk mitigation and disaster preparedness continue despite the use of big data.
A multi-stakeholder approach to update the current priorities for sustainable growth and development of aquaculture sector is occurring in China. This presentation will provide the perspective of a stakeholder approach adjusted for regional contexts, a key to achieving healthy and sustainable aquaculture globally. Stakeholders included are government research institutes, companies in aquaculture production and research, and companies involved in the value chain of aquatic products. Their roles are illustrated in good social relations, effective regulation, technology of growth, optimizing feed, health, and marketing. It will address the opportunities and challenges for the stakeholders to adapt, and the evolving drivers of aquatic epidemiological research topics addressing industry challenges.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:55:00","EndTime":"11:20:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Beibei Jia","TimeDisplay":"10:55 AM - 11:20 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Multifactorial marine gill diseases of Atlantic salmon: challenges and opportunities ","PresentationBio":"Dr. Annette Boerlage an aquatic epidemiologist who uses statistical and mathematical models to get insight into the interactions between environment, host and pathogen in aquaculture systems, with the goal to deliver evidence based information that can improve health management, mitigate disease and mortality, and improve sustainability of the sector. She has experience with a variety of aquaculture systems and challenges related to aquaculture, ranging from extensive integrated agriculture-aquaculture production systems with zoonotic neglected tropical diseases in Vietnam to intensive Atlantic salmon culture in Scotland with gill disease challenges associated to jellyfish. She enjoys the challenge of analysing large complex dataset, and has a special interest in recycling data and using open source data, such as data obtained from satellite observations, to enhance statistical models.


","Title":"Dr.","FirstName":"Annette","LastName":"Boerlage","Position":"Aquatic Epidemiologist","Organization":"Scotland's Rural College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eaac608d936f467d9f8ff93832cce537","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: aquaculture, Bayesian latent class models, sample size, ecology

Marine gill disease is a significant health challenge for Atlantic salmon. Complex gill disease (CGD), a form of marine gill disease, is especially complicated because principle pathological changes are non-specific, and causes are often multifactorial including infectious and non-infectious components. This talk will provide examples of challenges and opportunities of developing evidence-based insights on marine gill diseases resulting from epidemiological queries.

In the absence of a single distinctive causative agent and concerns about the sampling protocol, we used Bayesian latent class analysis to estimate diagnostic sensitivity and specificity of common tests for marine gill diseases in the field. Gross gill scores were medium to good in designating truly diseased fish and excellent in designating non-diseased fish implying that quick and affordable field observations are worthwhile, but an optimal surveillance strategy should include different types of tests. We used different methods to explore variation in test results at fish and pen level to deliver a decision support tool that can help evaluate sampling strategies for marine gill diseases. Zooplankton and phytoplankton are putative non-infectious drivers of marine gill disease. Their association to gill disease was explored using ecology indices and multivariate models. Their significance to CGD cases is not consistent, making this research challenging.

Amongst many challenges, it has become clear that even in the absence of a clear causative agent there are insights to be gained that develop our understanding of CGD and provide a base for further research so that, instead of `searching for a needle in a haystack` we can now `search for a hayfork in a haystack`. The increase in research on marine gill health of Atlantic salmon worldwide is rapidly contributing to a better understanding that may lead to a better management and increased productivity.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"11:20:00","EndTime":"11:45:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Annette Boerlage","TimeDisplay":"11:20 AM - 11:45 AM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"6c75b0c5-06ed-43e4-bb35-1ad95ff8b481","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-10T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"7_Special Session: Aquatic Epidemiology for Sustainable Food Animal Production Progress, Opportunities and Challenges
Chairs: Larry Hammell & Krishna Kumar Thakur","DateString":"Wednesday, August 10, 2022","ShortDateString":"Wed Aug 10, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-10T10:00:00+00:00","BaseEndDateTime":"2022-08-10T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-10T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-10T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-10T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-10T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-10T15:00:00.0000000+00:00"},{"Id":"81b6468d-38a2-4f06-ba00-ba54f34eef5e","SessionBlockId":"77601ffb-2937-4249-ac4c-69d2f7a9aaf2","Name":"Breakout Session 7.A - ISESSAH","IsSession":true,"ShowTimes":true,"Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Application of systems thinking to understand AMR dynamics and opportunities for interventions in freshwater aquaculture systems in northern Vietnam","PresentationBio":null,"Title":"Ms.","FirstName":"Maria","LastName":"Garza","Position":"Phd Student","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ab4d206437ea4845a3186022eebfdfd3","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"KEYWORDS: Aquaculture, systems thinking, food systems, AMR
OBJECTIVES: To investigate the multidimensional impacts and causal links of AMR drivers and interventions in freshwater aquaculture systems in Northern Vietnam.
METHODS: Study sites: Two provinces of northern Vietnam, which are key fish production areas undergoing transformations. Approach: First, a conceptual causal-loop diagram was developed based on a desk review of available literature and key informant interviews. Next, a question guide was developed to enquire about dynamics in the system influencing health management and use of antimicrobials, and to understand who benefits from current dynamics and policies, how and why. The guide was used in interviews and participatory group model building workshops with four groups of 15 aquaculture stakeholders, namely producers, officers, drug sellers and retailers. The workshops were used to explore scenarios and potential actions. All data were analysed using thematic analysis and cause-effect analysis and final workshops were used to refine/detail the causal-loop diagram.

RESULTS: Key factors influencing antimicrobial use, as the main driver of AMR, included restructuring of public field services, vulnerability to land use change, and financial instability due to input and market dependency. Causal relationships, loops and actions to improve surveillance and mitigate AMR were identified, including the participation in homegrown sustainability governance, engagement in farming clusters, access to aquaculture and extension services support, and demand for food safety by consumers. Current interventions in Vietnam were found to address only limited sections and stakeholders, mainly producers.

CONCLUSIONS: Vietnam is one of the top users of antimicrobials in aquaculture and despite a wide variety of interventions described, understanding of their effect and interaction in the system as well as of socio-economic and policy drivers is absent. Findings of this study contribute to a policy analysis of current AMR interventions in aquaculture and demonstrate areas of possible action.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","9f2295d7-194f-44de-9cea-8eb77d958e64","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Maria Garza","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Use of item response theory models to evaluate a measurement scale quantifying knowledge about antimicrobial use","PresentationBio":null,"Title":"Mr.","FirstName":"Ian","LastName":"Dohoo","Position":"Professor Emeritus","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cc773842c852438894f8ea4e104a1d09","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Measurement scales are commonly used in veterinary epidemiology for quantifying attributes which can not be measured directly. These might be an individual's knowledge on a topic based on responses to a questionnaire, or the severity of disease based on recorded symptoms. The fundamental assumption behind these scales is that there is a single latent construct which represents the subject of interest (eg. knowledge or disease severity) This is referred to as unidimensionality. While the use of scales is common, it is very seldom that either the underlying assumption is verified or that the scale is evaluated for its ability to reflect the latent construct.

In social sciences, the most common way to evaluate measurement scales is through the use of item response theory (IRT) models. We used IRT models to evaluate a scale quantifying an unmeasurable trait: knowledge of antibiotic use and resistance among Swedish dairy farmers. Data were derived from a questionnaires returned by 194 producers. Initially, tetrachoric factor analysis was used to identify 11 questions (items) that were consistent with the underlying latent variable. The ratio of the 1st to 2nd eigenvalue was 4.4, suggesting that this set of items was reasonably unidimensional.

Subsequently, a 2 parameter logistic IRT was fit to evaluate how well the set of items reflected the unidimensional latent construct (assumed to be knowledge of AMU/AMR). All items evaluated had reasonable discrimination. A comparison of ICC curves with observed mean values showed no evidence of lack of fit of the model. Overall, the model worked well to identify people with below average knowledge, but had very little ability to distinguish between with those who were average from those who were highly knowledgeable.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Ian Dohoo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Food Safety Knowledge, Attitudes, Practices and Trust of Pork Consumers of Northern Vietnam","PresentationBio":null,"Title":"Mr.","FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/74bccc4b9d3746a7a87827e3adb83e18","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Consumer demand for safe food has been defining the development of value chains. Demand is influenced by consumer knowledge, attitudes, and practices (KAP), governance and trust in the value chain among other factors. The study aimed to evaluate consumers KAP about food safety in selected pork value chains in Vietnam. Here we present KAP results being part of larger project on food safety interventions in pork retail in Northern Vietnam.
Materials and Methods: A food safety performance tool containing of three main pillars: safety, scalability and societal concerns was used to assess food safety KAP, trust and governance of 188 consumers randomly selected from different pork value chains (modern and traditional) in Hanoi, Hung Yen, Hoa Binh and Nghe An provinces using key informant interviews.
Results: Pork value chains are transitioning, with greater attention to consumer demands for safer products, yet some consumer misconceptions about food safety were observed with only little concern given to microbial contamination, the confirmed most important hazard from recent representative surveys. Proper attitudes on foodborne illness and applying good hygiene practices in households were obtained from interviewed participants. Whereas consumers overall have low trust in value chain actors, including those important for food safety (i.e., farmers and input suppliers), and highly ranked food safety responsibility of pig producers and government authorities. Trust was found higher in rural versus urban areas. Among communication channels, higher trust was placed in television news from the government while lower trust to social media.
Conclusions: To be competitive, pork value chains should focus on product differentiation, such as signalling good practices and organizing a shorter chain, including cooperatives model, with focus on product traceability. Government could support this process by implementing targeted communication about food safety to consumers and all chain actors.
Keywords: Foodsafety, KAP, trust, consumers, Vietnam

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","d12154ed-5a96-4eee-9b2d-d5985b20d3db","9f2295d7-194f-44de-9cea-8eb77d958e64","e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"[email protected]","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"[email protected]","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"http://[email protected]","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://[email protected]","Font":"fab fa-facebook-square","Color":"#3b5998"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Fred Unger","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"What policy insights can be gleaned from a food systems approach to the commercial broiler system in South Africa?","PresentationBio":null,"Title":"Mr.","FirstName":"Kevin","LastName":"Queenan","Position":"Research Associate","Organization":"Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Food security and local industry growth drives broiler system policies in South Africa, neglecting wider food system impacts.
Objectives: To develop a qualitative system dynamics (SD) model of the South African commercial broiler system and to use it for stakeholder engagement to identify system-wide policy issues.
Methods: A literature review, stakeholder interviews (n=29) and an online questionnaire were used to develop the model. One-to-one Zoom meetings with stakeholders (n=15) followed. A modular presentation format of the model was used, revealing groups of elements in a step-by-step manner. This allowed for model validation and identification of areas for policy consideration. Additionally, cross-cutting policy issues and those transferable to the wider livestock-derived food system were identified.
Results: Systemic inequality supports commercial production and formal retail, and presents barriers for smaller scale actors. Provision of low-cost products improves affordability, but nutritional value is a trade-off. Brining broiler meat improves affordability but adds to dietary salt, potentially contributing to hypertension and the non-communicable disease burden. Large-scale commercial broiler producers favor fast-food retail contracts and vice versa. A burgeoning fast-food industry uses broiler meat (second only to beef) for processing, and is contributing to dietary fat and obesity prevalence. Commercial production is dependent on cereals for feed, but only 13% of agricultural land is arable, and already affected by climate change. Whilst broiler meat may be less environmentally harmful than ruminant products, the impacts of its consumption doubling in the past two decades deserves closer scrutiny. The processed meat associated listeriosis outbreak in 2017-18 unveiled gaps in food safety surveillance that require urgent policy change for greater coherence and effectiveness.
Conclusion: A food systems approach provides policymakers with insights for the development of integrated and durable policies, accounting for potential unintended consequences within the boundaries of health, nutrition, food safety, and environmental sustainability.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["9f2295d7-194f-44de-9cea-8eb77d958e64","d12154ed-5a96-4eee-9b2d-d5985b20d3db"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Kevin Queenan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Fifteen years of social veterinary epidemiology – a review and recommendations for the next 15 years.","PresentationBio":null,"Title":"Dr.","FirstName":"Erwin","LastName":"Wauters","Position":"Senior Researcher","Organization":"Flanders Research Institute For Agriculture, Fisheries And Food - Social Sciences Unit","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/717968f4026d42a58675bb72c84df57a","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
The last 15 years, there has been a surge of studies that integrate social sciences in animal health research. More specifically, research on human behavior affecting the causes, spread, prevention and control of animal diseases has emerged, since it was recognized as a necessity by various stakeholders who noted difficulties in implementing scientific outcomes. We aim to characterize this field for which we propose the name of Social Veterinary Epidemiology (SVE) by reviewing the existing literature to: (i) identify general tendencies, (ii) characterize and review methods and approaches used, and (iii) provide recommendations for future studies.
Materials and methods
Over 200 papers until end of 2021 were identified by using a collection of selected keywords, namely “animal health”, “behaviour farmers”, “animal disease”, “intervention adoption”, synonyms and alternative combinations. The search was carried out in common search databases, combined with backward and forward reference/author search. The papers were analysed using a heuristic framework to characterize the topics and the methodological approaches.
Results
Preliminary results show that most studies focus on zoonosis or diseases with economic impact in European pig and cattle production, although a shift in focus could be observed. In terms of content, the emphasis is on characterizing farmers’ or veterinarians’ behaviour. The majority of studies did not use any behavioural framework from the social sciences, leaving the studies prone to different types of biases. Further, intervention studies were very scarce.
Conclusion
We recommend that new research (1) emphasizes on understanding the systems in which farmers and others work through system thinking, as opposed to a conceptualization of behavior as being determined on the individual level; (2) applies a more holistic view on behavioural change, including economic incentives, provisions, regulations and social norms; (3) conducts more behavioural and experimental intervention studies.


Keywords: social veterinary epidemiology, human behaviour, attitudes, perceptions
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Erwin Wauters","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"How would you like your burger? Findings from a survey and sequencing in the service of Scottish food safety","PresentationBio":null,"Title":"Dr.","FirstName":"Sue","LastName":"Tongue","Position":"Senior Veterinary Epidemiologist","Organization":"Scotland's Rural College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Consumer behaviour is often driven by popular media and social trends, rather than meeting standards anticipated by existing food safety guidance and controls. The objectives of a microbiological survey of fresh beef mince on retail sale in Scotland during 2019 were 1) to establish the baseline prevalence of three significant food-borne pathogens 2) to use whole genome sequencing (WGS) to place survey pathogens into the context of Scottish isolates from human clinical cases and cattle, with the aim to inform risk assessment, management and communication strategies.

Mince samples, purchased using a two-stage sampling strategy accounting for population density and market share of retail outlets, were tested for Campylobacter, Salmonella, and genes indicating the possible presence of either STEC, or O157 E. coli. “Presumptive” STEC positive samples were confirmed by culture and isolation. Sequences were generated via the Scottish Microbiology Reference Laboratories’ (SMiRL) pipelines.

Of 1009 samples: one was positive for Campylobacter; three for Salmonella and 35 were confirmed as STEC positive. The prevalence estimates were similar to lower values from published studies. WGS data enabled identification of the characteristics of the Salmonella and STEC isolates - serotypes, antimicrobial resistance genes and phylogenetics compared to SMiRL databases. STEC isolates were classified by their potential to cause clinical disease. Sequencing also provided microbiological evidence of the link between seven geographically-dispersed human cases infected with the same STEC strain.

Several points of general relevance were raised: difficulties interpreting qualitative descriptive phrases applied to the same quantitative value by different communities; lack of standardisation making comparison of estimates derived from different methodologies (laboratory & study design) difficult; how the survey design could be applied in other scenarios. the relevance of sequencing to surveillance and control strategies. The findings demonstrated that regulatory controls are contributing to food safety, while confirming the importance of consumer education.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Sue Tongue","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Understanding Canadian dairy farmers perspectives on outdoor access for dairy cows using an online questionnaire","PresentationBio":null,"Title":"Ms.","FirstName":"Berina","LastName":"Traub","Position":"Masters Student","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cbc0980c07694105b489ddd12336b48e","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Dairy cows are highly motivated to access pasture, especially at night. Additionally, the public values the provision of outdoor access to dairy cows. Data obtained in the National Dairy Study indicated that in 2015, a total 30% of Canadian dairy farms provide pasture access to lactating cows; 60% provide pasture to dry cows. Given the disconnect between public values and dairy farming practices, it is important to better understand Canadian dairy farmers’ perspectives on outdoor access. Therefore, the objective of our study was to understand perspectives of Canadian dairy farmers on providing outdoor access.

Materials and Methods: An online questionnaire was distributed between November 2020 and August 2021 by all provincial milk boards to Canadian dairy farmers, resulting in an 8.9% response rate (n = 903 completed questionnaires). Farmers were asked: 1) if they envisioned an increase, decrease, or no change in the amount of outdoor access provided on their farm in the next 20 years and 2) to motivate their answer. Data were analyzed using template analysis.

Results: A total 13.4% (n = 121) of respondents indicated they would decrease outdoor access, 66.7% (n = 602) would keep their management practices the same, and 19.9% (n = 180) of respondents indicated that they planned an increase in the amount of outdoor access they provided on their farm in the next 20 years. Reasons to increase, decrease, or keep the amount of outdoor access the same all revolved around the same 6 main themes: climate, cow welfare, economics, environment, infrastructure, and management. Expected positive effects of providing outdoor access on public perception of dairy farming was also mentioned as reason to provide outdoor access.

Conclusion: We conclude that Canadian dairy farmer perspectives on the decision to provide outdoor access in the future differ due a multitude of farm-specific factors. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","cb344d68-5710-46be-a916-dd122f96ab66","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Berina Traub","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A survey of Ontario dairy cattle producers’ management practices and perspectives on cull cows","PresentationBio":null,"Title":"Ms.","FirstName":"Joanne","LastName":"Marshall","Position":"Msc Student","Organization":"Ontario Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9cf42e359ce34573b8f6b4c3db38e87f","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Removal of cows from dairy cattle production is a routine and unavoidable practice of the dairy industry that is referred to as culling. This research objective was to describe farmers' current cull cow management, perception cows journeys to slaughter, and adoption of recommendations and regulations.
An open invitation was issued to all Ontario dairy producers to complete a survey between December 2020 and March 2021 that included 44 questions covering producer demographics, farm characteristics, and cull cow management.
The survey response rate was 7.4% (n=248); a total of 226 responses were included in this study for analysis.
The primary culling decision maker was the owner (69.2%). Most respondents indicated they have a written standard operating procedure (SOP) for cull cows (62%), and 48%, 13%, and 15% of those identified they use their cull cow SOP “always”, “sometimes”, and “never”, respectively. The most important sources of information for the management of cull cows were the herd veterinarian (64%) and members of the marketing/regulatory organization (Dairy Farmers of Ontario; 44%). Drug withdrawal time was the only factor most respondents (73%) considered “very important” for the assessment of the fitness of cull cows prior to transport. Most producers believe cull cows journey from the farm to slaughter is three or less days (55%), and most producers were confident that cull cows arrive at slaughter in the condition they left their farm. Lastly, most producers (66%) identified they were familiar with recent regulatory changes around the fitness, duration of transport, and lactation status for cull cows.
These results highlight gaps in producers’ understanding of the journey of cull cows to slaughter and should be used to inform programs and policies aimed at educating and influencing dairy farmers to improve regulatory compliance and cull cow welfare.
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Allen School for Global Animal Health and the School of Economic Sciences at Washington State University. Dr. Marsh evaluates how policies and disease interventions interrelate with household decisions, markets and trade. Recent examples include quantifying the economic consequences of specific diseases (such as E. coli, highly pathogenic avian influenza, and mad cow disease), assessing the impact of diagnostic testing and vaccination (such as foot and mouth, east coast fever, and Newcastle disease) of livestock on households in Africa, and measuring the global burden of animal diseases.","Title":"Prof.","FirstName":"Thomas","LastName":"Marsh","Position":"Professor","Organization":"Washington State University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cf2870c2f5d545bf84e34d47b82c57cd","IsPresentingAuthor":false,"Order":null,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Animals are an important and necessary part of our planet and global economy. In particular, they are a critical component of the global production and trade of food. Five livestock and livestock products are ranked by value among the top 10 commodities produced and traded in the world (FAOSTAT 2020). Rice is the #1 commodity in value of production followed by pig meat, fresh milk, maize, and poultry meat respectively in the top 5 with cattle meat also in the top 10. In some places and at sometimes across the world, livestock and livestock products are the only source of food and nutrition. Moreover, animals are embedded and valued in many cultures across the world, the livestock industry accounts for a large fraction of global land and crop use, and wildlife tourism is an important economic activity worldwide.
Animal diseases have significant economic consequences across the globe, reducing economic efficiency in smallholder and commercial production, distorting trade, and in some cases harming entire economies. To measure these impacts economists monetize disease outcomes for both animals and humans. Animal health economists tend to employ profit or capital valuation metrics in measuring market assessments, while human health economists often employ the value of a statistical life and disability adjusted life years metrics to measure costs and benefits. These metrics inform and evaluate core choices on actions to prevent and treat diseases, as well as to guide private and public investment decisions in animal health.
There is good justification for emphasizing policy on animal health issues, including food security, animal welfare, zoonoses, trade, etc. To manage health and disease in animals for both the private and social good, policy makers and industry leaders strive to formulate efficient decisions and to execute effective actions. Understanding how policies, as well as economic and external forces, affect these decisions is essential to improving and positioning disease management efforts in the future. From a broader perspective how these policies and decisions jointly affect the efficiency of an economy, the equity and well-being of its people, and the sustainability of the country itself are challenging and significant topics.

Key Words: Economics, Policy, Animal Health, Diseases


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Thomas Marsh","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"06d05fd7-5d0a-41f1-ba70-0a5848e3652d","StartTimeString":"8:30 AM","EndTimeString":"9:30 AM","StartToEndTimeString":"8:30 AM - 9:30 AM","StartToEndTimeSortString":"8:30 AM - 9:30 AM","DisplayDetails":"KEYNOTE Economics and Implications of Animal Disease
Speaker: Dr. Thomas Marsh","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"8:30 AM - 9:30 AM","StartTimeOverrideString":"8:30 AM","EndTimeOverrideString":"9:30 AM","StartToEndTimeOverrideString2":"8:30 AM - 9:30 AM","BaseStartDateTime":"2022-08-11T08:30:00+00:00","BaseEndDateTime":"2022-08-11T09:30:00+00:00","BaseStartDateTimeOverride":"2022-08-11T08:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T09:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T11:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T12:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T11:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T12:30:00.0000000+00:00"},{"Id":"ac317e36-9a29-4c30-8ee9-74d79ce8b555","SessionBlockId":null,"Name":"Thursday AM Bio Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"09:30:00","EndTime":"10:00:00","StartTimeOverride":"09:30:00","EndTimeOverride":"10:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom Salon","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"ac317e36-9a29-4c30-8ee9-74d79ce8b555","StartTimeString":"9:30 AM","EndTimeString":"10:00 AM","StartToEndTimeString":"9:30 AM - 10:00 AM","StartToEndTimeSortString":"9:30 AM - 10:00 AM","DisplayDetails":"Thursday AM Bio Break │ Exhibits","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"9:30 AM - 10:00 AM","StartTimeOverrideString":"9:30 AM","EndTimeOverrideString":"10:00 AM","StartToEndTimeOverrideString2":"9:30 AM - 10:00 AM","BaseStartDateTime":"2022-08-11T09:30:00+00:00","BaseEndDateTime":"2022-08-11T10:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T09:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T10:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T12:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T13:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T12:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T13:00:00.0000000+00:00"},{"Id":"606a7004-0a8b-4317-b142-596fb4934133","SessionBlockId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","Name":"Breakout Session 8.D - Epidemiologic studies in specific species (Swine)","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Analysis of the prophylactic vaccination against classical swine fever conducted in the country previously free from CSF.","PresentationBio":null,"Title":"Mr.","FirstName":"Takehisa","LastName":"Yamamoto","Position":"Deputy Leader","Organization":"National Institute of Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives
In 2018, classical swine fever (CSF) re-emerged in Japan which has been recognized as a CSF-free country. CSF vaccination for pigs using live vaccines started in October 2019. In this study, the effectiveness of vaccination in pig farms was evaluated using the sero-surveillance data and the results of diagnostic tests conducted in the infected farms.

2. Materials and methods
A total of 23,736 results of ELISA antibody tests conducted every six months were assessed and seropositivity rates were compared by age at vaccination. In seven farms, samples from sows and their litters were collected continuously with 15 days intervals to conduct ELISA and HI tests. The results of ELISA and PCR tests for samples collected from pigs at infected farms before conducting stamping out were also assessed.

3. Results
The seropositivity rate for the pigs born before the vaccination program applied reached over 90% regardless of age at the first vaccination. The seropositivity rate was declined to 60–70% in pigs born from vaccinated sows, and lower in pigs vaccinated at an earlier age. About the antibody levels in piglets in the seven farms, seropositivity rates reached nearly 100% when the maternal antibody level at vaccination was <8 HI titer. It remained almost 50% when the maternal antibody was 8–16 HI titer, and the proportion declined in the piglets with higher antibodies. In almost all affected farms with vaccination, many of the weaned pigs were found to be PCR positive with low ELISA positivity rates whereas most of the remaining pigs were ELISA positive and PCR negative.

4. Conclusion
In the application of the vaccination program in pig farms, special attention should be paid to the presence of weaned pigs intentionally unvaccinated to avoid vaccine break caused by maternal antibodies.

Keywords: classical swine fever, vaccination
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Takehisa Yamamoto","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Belgian pigs \"Raised Without Antibiotics\"","PresentationBio":null,"Title":"Mr.","FirstName":"Jeroen","LastName":"Dewulf","Position":"Professor","Organization":"Ghent University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1880a20fbeeb4682ada9298038dc145c","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Reduction of antibiotic resistance in pigs can be obtained through prudent or restricted use of antibiotics. Raised Without Antibiotics (RWA) is a certification mark that is known in only a few countries, and it is unclear what the characteristics of RWA herds are. The objectives of this study were to define the criteria of a Belgian RWA programme; to coach herds and to assess if it was possible to obtain and maintain the RWA status; and to determine differences between RWA and conventional pig herds.
Materials and methods: Pig herds (n=28) were visited 3 times: 1) data collection, 2) (2 months later) herd-specific coaching, 3) (7 months later) evaluation. Antibiotic use was followed up from before the start of the study up to one year after the last visit. Criteria for Belgian RWA production were defined, and the status of the herds (RWA or not) was verified. Antibiotic use, biosecurity (Biocheck.UGent), and herd characteristics of (non-)RWA herds were compared.
Results: RWA was defined as no antibiotics from birth until slaughter. Pigs requiring an individual treatment received a special ear-tag and were excluded from the programme. The status of the herds varied over time, and the distribution RWA vs. non-RWA was 10-18, 13-15, and 16-12, for before intervention, after coaching, and after one year, respectively. RWA herds were smaller (median 200 sows) compared to non-RWA herds (median 350 sows). The 4-week system was used significantly more in non-RWA herds, while the 3- and 5-week system were used most often in RWA herds. There were no statistically significant differences in biosecurity status, but biosecurity improved in all farms over the course of the study.
Conclusion: This study showed that it was possible for farmers to achieve and maintain the RWA status through herd-specific coaching related to prudent ABU and biosecurity.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":"Jkdewulf","_facebookUrl":"Jeroen Dewulf","_linkedInUrl":"Jeroen Dewulf","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"Jkdewulf","FacebookUrl":"Jeroen Dewulf","LinkedInUrl":"Jeroen Dewulf","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=Jkdewulf","FullFacebookUrl":"http://Jeroen Dewulf","FullLinkedInUrl":"http://Jeroen Dewulf","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":4},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=Jkdewulf","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://Jeroen Dewulf","Font":"fab fa-facebook-square","Color":"#3b5998"},{"Link":"http://Jeroen Dewulf","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Jeroen Dewulf","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemiology and molecular characterisation of MRSA resistant to critically important antimicrobials isolated amongst commercial pig farms in Australia","PresentationBio":null,"Title":"Mr.","FirstName":"Shafi","LastName":"Sahibzada","Position":"Lecturer","Organization":"Murdoch University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/037006bc27084493a88e9f6e3df0bffc","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
This study aimed to measure the prevalence and distribution of methicillin-resistant Staphylococcus aureus (MRSA) among pigs in commercial piggeries in Australia and investigate the emergence of critically important antibiotic resistance in the absence of selection pressure.
Methods
A cross-sectional study was performed on 26 commercial pig farms distributed throughout Australia during January–October 2017. A total of 1,690 samples were collected with five environmental and 60 nasal swabs from weaners on each farm. Presumptive MRSA isolates were typed using real-time PCR assays and phenotypically assessed for resistance to 12 different antimicrobials. Whole-genome sequencing was performed on a selected isolate (n= 87).
Results
MRSA was identified in 53.9% of the study farms, with farm-level prevalence ranging between 1.6% and 100%. On average, the prevalence of MRSA carriage in pigs on MRSA-positive farms was 40.28%. All MRSA isolates were typed as ST398 and lacked the lukS/F-PV genes. A high proportion of isolates were resistant to tetracycline (100%), clindamycin (94.6%), erythromycin (76.7%), and amoxicillin-clavulanate (68.3%). Resistance was also observed for quinupristin-dalfopristin (17.2%), gentamicin (4.1%), and neomycin (4.1%). One-quarter of MRSA isolates were resistant to ciprofloxacin. The genomic data revealed close relatedness with MRSA ST398 from Europe and America. The analysis demonstrated multiple introductions of ST398 into the Australian pig industry, where three distinct clades are circulating.
The most reported antimicrobials used among the piggeries were: amoxicillin (92.3%), penicillin (92.3%), tetracycline (80.8%), tylosin (80.8%), sulfamethoxazole-trimethoprim (69.2%), lincomycin (53.8%), and ceftiofur (30.8%).
Conclusion
This study confirms that livestock-associated-MRSA ST398 is established among Australian pig herds. The finding of ciprofloxacin resistance was noteworthy given that use of fluoroquinolones is not permitted in food animals in Australia. This lineage is most likely have been introduced through humans from other countries where resistance to this critical antimicrobial has already been identified in porcine ST398.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","0c901ec5-8189-459e-b859-afcfb8a96f9b","43f42602-f380-4a8a-9da3-ce05b383dc09","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/shafi-sahibzada-92441815","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/shafi-sahibzada-92441815","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/shafi-sahibzada-92441815","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/shafi-sahibzada-92441815","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Shafi Sahibzada","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Patterns of antimicrobial resistance in Salmonella isolates from fattening pigs in Spain from 2001-2013","PresentationBio":null,"Title":"Dr.","FirstName":"Julio","LastName":"Alvarez","Position":"","Organization":"VISAVET, Universidad Complutense","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The current study aimed to provide information about the phenotypic antimicrobial resistance (AMR) profiles found in Salmonella isolates recovered from pigs in Spain from 2001 to 2013 through a nationwide sampling system.

Materials and methods
Information about a total of 1,154 pig Salmonella isolates with minimum inhibitory concentration results for seven antimicrobials (i.e., tetracycline, chloramphenicol, ciprofloxacin, nalidixic acid, gentamicin, florfenicol, and cefotaxime) were acquired. Bayesian smoothing and generalized linear equations evaluated spatial and temporal trends in resistance to individual antimicrobials, respectively, and Bayesian network analysis and hierarchical clustering explored relationships between resistance to different antimicrobials.

Results
Tetracycline resistance across Spanish provinces was the highest (range: 66.7−95.8%), followed by chloramphenicol resistance (8.5−41.1%). The odds of being resistant to chloramphenicol decreased by 8.9% (95% confidence interval: 5.1−12.5%) each year. In the Bayesian network, the conditional probability for an isolate susceptible to ciprofloxacin of being also susceptible to nalidixic acid was 0.999 but only 0.779 if the other way around. Similarly, an isolate susceptible to florfenicol would be expected to be susceptible to chloramphenicol, whereas the conditional probability was only 0.221 for the opposite situation. Hierarchical clustering found six clusters that showed important linkages between certain resistances and serotypes (Figure 1).

Conclusion
Our study demonstrated the power of multivariate statistical methods in disclosing trends and patterns of AMR of public health concern in Salmonella isolates in pigs in Spain.

Keywords: multidrug resistance, Typhimurium, antimicrobial surveillance, Bayesian network analysis, hierarchical clustering
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Materials and methods: The QMRA links together farm and economic models developed by different European institutes (ANSES and AGES, respectively). The farm model outputs the prevalence of HEV-positive pigs entering slaughterhouses, which provides the input to the QMRA. The QMRA uses Monte Carlo simulations to model all subsequent stages in the pork supply chain, including slaughterhouse, preparation & consumption, and dose-response modules, incorporating processes such as cross contamination and thermal inactivation of HEV.

Results: The output of the QMRA is the probability of illness for each of four product types considered (sliced liver, liver pâté, pork cuts and minced meat), for the baseline scenario as well as under different biosecurity measures. These results are the input to an economic model, which assesses the cost effectiveness of these measures. Development of the QMRA has identified several key data gaps, which will help inform future HEV studies.

Conclusions: The work showcases a coordinated approach to the modelling of biosecurity measures for HEV across Europe and enables a more complete assessment of the effectiveness of these measures by policy makers, considering both prevalence reduction (in pigs and humans) as well as whether they offer an economically profitable return.

Keywords: pigs, risk assessment, hepatitis E virus, biosecurity","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","5178adf1-eaeb-4d5b-8fce-b18677488f5a","40011888-980a-402c-868e-27ff2aacbc1b","e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Neil Wilkins","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Temporal surveillance in a functional ongoing surveillance system: Canada West Swine Health Intelligence Network","PresentationBio":null,"Title":"Dr.","FirstName":"Jette","LastName":"Christensen","Position":"","Organization":"Canada West Swine Health Intelligence Network","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Canada West Swine Health Intelligence network (CWSHIN) is a functional ongoing surveillance system that serves western Canadian swine producers, practitioners, and governments to improve health, production, and the economic prosperity of the sector.
Objective: The objectives was to present results of temporal surveillance in a surveillance system based on a guide with a predefined set of charts, thresholds (flags/signals/runs), and actions (exploration/discussion).
Materials and methods: The surveillance system included collection of clinical impression surveys (CIS) and laboratory health data stored in a data repository, a method of combining data without population identifiers (disease map) and a guide to temporal surveillance (analysis). The guide included 23 descriptive and 22 Statistical Process Control charts (SPC). Descriptive charts were assessed visually for unexpected trends (flag). Signals were points outside the control limits (CL); and patterns of consecutive points were runs in SPC.
Results: We present the last quarter and Porcine Epidemic Diarrhea (PED). There were two flags (Respiratory, Injury/Welfare); one signal (Systemic); PED had both a flag and a signal. PED’s flag was an increase in p/n to 10% (top figure). The SPC confirmed the significance (not shown). This was explained by an outbreak of PED starting in October. Other flags/signals may be more subtle and need more exploration/discussion to explain.
Conclusion: The temporal surveillance in CWSHIN is ongoing. Flags, signals, and runs helped identify relevant health issues for further exploration and discussion.
Keywords: temporal surveillance
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A prediction map of suitable feral pig habitat in California was created using MaxEnt methodology. Hunting tag coordinates served as a proxy for feral pig presence and predictor layers were included in variable selection steps for model building.
To build the risk map, the final MaxEnt feral pig suitable habitat raster was overlapped with the location of OPO to categorize areas at greatest risk for disease transmission, due to contact between these two swine populations. OPO locations were obtained through various sources including web searches and visits to farmers markets.

Five variables were identified as important in predicting suitable feral pig habitat in the final MaxEnt model. A total of 305 OPO were identified between 2014-2019. Results of the risk map indicated that 49.18% of OPO were located near extremely high or highly suitable feral pig habitat.

This study provides a foundation to design targeted, cost-effective disease surveillance and risk mitigation programs in regions at highest risk for wild-domestic pig contact and can serve as a template for similar efforts nationwide.

Maximum Entropy, risk map, swine, emerging disease
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a424daba-5d1a-4f4a-9bf5-d16c5f51514c","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"piresalda1; aldapireslab","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"@aldapireslab","GooglePlusUrl":null,"TwitterHandle":"piresalda1; aldapireslab","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"@aldapireslab","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=piresalda1; aldapireslab","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://@aldapireslab","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=piresalda1; aldapireslab","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://@aldapireslab","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Alda Pires","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 8.D - Epidemiologic studies in specific species (Swine)","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-11T10:00:00+00:00","BaseEndDateTime":"2022-08-11T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-11T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T15:00:00.0000000+00:00"},{"Id":"230e48f5-c7fd-47a9-8b8c-6569f407af89","SessionBlockId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","Name":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Sources of variation in mortality within salmon farming","PresentationBio":null,"Title":"Mr.","FirstName":"David","LastName":"Persson","Position":"Assistent Professor","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Effective production management in aquaculture, towards increased survival, health and welfare of salmon, relies on knowledge about causes and variation of mortality. The aims of this study were to describe sources of variation and patterns of mortality in commercial salmon farming during the marine phase.

Data included daily mortality records from 21 mill salmon from ten hatcheries, stocked in 136 cages at 21 farms in two Norwegian companies over the years 2017/2018. Cumulative mortality as outcome was calculated from fish-groups (fish transferred to the same cage from the same hatchery) traceable at day 180 post transfer (“early”, n=121) and at harvest (“harvest”, n=74). A cross-classified multilevel linear regression model was built for each outcome (ln-transformed), with “fish-group” nested within “farm” and cross-classified with “hatchery” as random effects (using MLwiN v. 3.05, University of Bristol).

Mean mortality (range) was in “early” dataset 2.7% (0.3-21.2%) and “harvest” 8.1% (2.7-23.9%). Variance component reduction (VCR) indicated the fixed effects included in the final model explained 46% (“early”) and 35% (“harvest”) compared to the intercept model for each outcome. VCR further allocated modest explanation to the fish-group level. However, assessed by variance component proportion (VCP), “Fish-group” attributed 70% of the variation in the final model of both outcomes. In the “early” model, “farm” and “hatchery” had a VCP of 6.4% and 23.4% respectively. For “harvest mortality” farm had a VCP of 20% and hatchery 10%.

The study indicates fish-group as an important source of variation investigating mortality in salmon aquaculture and mortality varies substantially between fish-groups. Thus, targeted preventive strategies against mortality at the fish-group level is more effective than overall measures at farm to increase survival and improve production of farmed salmon.

Keywords: salmon farming; fish health management; sources of variation; cross-classified multilevel regression; cause specific mortality
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","b838af4f-bddf-4b1b-84d6-642a51a831fd"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. David Persson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The probability of detecting finfish pathogens by virus isolation based on the Ct values of real-time RT-PCR","PresentationBio":null,"Title":"Dr.","FirstName":"Raju","LastName":"Gautam","Position":"","Organization":"Canadian Food Inspection Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Virus culture is a follow-up test to real-time reverse transcriptase polymerase chain reaction (RT-qPCR) in surveillance for viral pathogens in finfish. RT-qPCR detects viral genome from both culturable and non-culturable virus, and the test result is determined based on a cut-off of a critical threshold (Ct) value. Virus isolation is dependent on the presence and culturing of live virus in samples. Samples with low viral loads may not be detected by virus isolation but still be detected by RT-qPCR due to relatively higher sensitivity and/or an additional presence of gene fragments. Knowledge of the probability of detection by virus culture based on the Ct value of RT-qPCR beforehand could enhance decision making on the selection of an appropriate follow-up testing method. The study objective was to determine the probability of detection by virus culture for three viral pathogens: infectious pancreatic necrosis virus (IPNV), infectious salmon anaemia (ISAV) and viral haemorrhagic septicemia virus (VHSV) based on the Ct values of RT-qPCR detections using 2012-2019 diagnostic data. The probability of detecting ISAV and VHSV by virus culture followed a similar pattern of above 80% with Ct values < 20, decreased to 50% by a Ct of 24 and below roughly 15% with Ct values > 32. The probability of detecting IPNV was significantly greater than either ISAV or VHSV, which was not significantly different. Detection was above 80% with Ct values < 28, decreased to 50% by a Ct of 34 and 20% at a Ct of 39. VHSV and ISAV testing was done using the same or similar tissue types for both RT-qPCR and virus isolation, while 21% of IPNV testing was done using an additional number of tissue types pooled together for virus isolation than RT-qPCR.

Key words: finfish, virus, detection, RT-qPCR, virus isolation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","b838af4f-bddf-4b1b-84d6-642a51a831fd"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Raju Gautam","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemiologic description of Infectious salmon anaemia virus outbreaks at four Atlantic salmon (Salmo salar) marine sites in 2020, in Newfoundland and Labrador, Canada","PresentationBio":null,"Title":"Dr.","FirstName":"Nicole","LastName":"O'Brien","Position":"","Organization":"Department Of Fisheries, Forestry And Agriculture - AAHD","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/607b75c9f224479589ba6ba840487a7b","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Four marine Atlantic salmon (Salmo salar L.) farms in southern Newfoundland had an incursion of Infectious Salmon Anaemia virus (ISAv) in 2020 resulting in clinical outbreak. The objectives of this study were to describe the epidemiology of variants of infectious salmon anaemia virus at four Atlantic salmon marine sites in Newfoundland and Labrador, Canada, and compare the temporal patterns of fish level apparent prevalence and virulence of the involved ISAv variants.

Materials and Methods: Fish kidney samples collected during regular and enhanced surveillance from the 4 affected farms were screened for the presence of ISAv by real-time RT-PCR and submitted for genotyping, histological examination, and virus isolation in cell culture. Descriptive analyses were used to summarize the test results data and fish level apparent prevalence was estimated as the proportion of RT-PCR positive fish among the total fish tested.

Results: This is the first epidemiologic description of the ISAv outbreak at the population level and the associated ISAv variants experienced by these four marine Atlantic salmon sites in 2020 – 2021. These outbreaks involved nine distinct ISAv variants of which 5 were European and 3 North American HPR-deleted ISAv variants, while 1 was North American HPR0 ISAv variant. A notable finding of this study was the concurrent detection of both an HPR0 and an HPR-deleted ISAv variant in at least one individual fish. Two of the affected farms harbored both European and North American variants simultaneously, while the other 2 farms exclusively involved either the North American or European variants but not both together.

Conclusion: The study reinforces the importance of strain typing surveillance for ISAv. Findings from the study will strengthen the understanding of local ISAv disease dynamics and identification of changes thereof in the region.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Nicole O'Brien","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatio-temporal patterns of infectious salmon anemia virus (ISAv) outbreaks in marine salmon farms in Newfoundland and Labrador","PresentationBio":null,"Title":"Mr.","FirstName":"Milan","LastName":"Gautam","Position":null,"Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
Our objective was to describe the spatio-temporal patterns of infectious salmon anemia virus (ISAv) outbreaks in marine salmon farming conditions of Newfoundland and Labrador (NL) and explore risk factors associated with the timing of outbreak detection and depopulation at affected sites.

Materials and methods
ISAv surveillance data (2012- 2020) were provided by the Aquatic Animal Health Surveillance Program led by NL Department of Fisheries, Forestry, and Agriculture. Final analyses included fish and site-level data consisting of 94 sampling events and 20 Atlantic salmon production sites. ISAv detection was based on RT-PCR with genotyping for moribund and harvested fish samples. Linear regression models were used to investigate factors influencing time-to-detection (days from stocking to first ISAv detection) and time-to-depopulation (days from the first detection to site depopulation).

Results
A total of 28 unique outbreaks were reported during the study period. Site-level annual incidence risk of ISAv detection was 3-33% and fish-level annual detection in sampled fish was 2-45%. European (EU) ISAv genotype detections were more common compared to North American (NA) genotypes. The variables, ISAv genotype, neighboring farm outbreaks, and year of the outbreak were not associated with time to first ISAv detection. Outbreaks with NA genotypes had significantly shorter (p= 0.02) time to depopulation compared to EU genotypes. Time to depopulation was also significantly shorter (p=0.0004) if ISAv was first detected at a site from 2016-2018, compared to 2012-2015.

Conclusions
The annual risk of ISAv detection in marine salmon farming sites in NL varied over years at both fish and site levels. Time to depopulation was inversely associated with ISAv’s NA genotype and the year of first detection.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Milan Gautam","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The shell microbiome of American lobster Homarus americanus in Atlantic Canada ","PresentationBio":null,"Title":"Ms.","FirstName":"Svenja","LastName":"Koepper","Position":"Phd Student","Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Due to current knowledge gaps regarding the shell microbial community – proposedly a key factor in the fast-spreading epizootic shell disease (ESD) – of American lobster (H. americanus) in Atlantic Canada, this study aims to describe and analyze the shell microbiome of healthy and diseased lobsters sampled from several locations in New Brunswick, Nova Scotia and Prince Edward Island.

Materials and Methods
More than 300 lobster shell swab samples and associated data on biotic and abiotic factors have been collected from seven different lobster fishing areas. Long-read, next-generation 16S rDNA amplicon sequencing (PacBio) of cuticle samples followed by bioinformatic analyses will identify the shell associated bacteria. Diversity indices will assess the microbial composition and diversity while network analyses explore bacterial interactions within the microbiome. Furthermore, multivariate analyses will detect any patterns in microbial species’ abundances, composition or distribution based on biotic and abiotic factors.

Results
It is expected that spatial, temporal, and environmental variables as well as lobster characteristics such as sex, size, molt stage or disease state to some extent influence microbial profiles on lobster cuticles. Bacterial taxa that have been associated with ESD are likely present in lobsters from Atlantic Canada as they are ubiquitous in the marine environment but may play a role in ESD proliferation.

Conclusion
This study will help to assess and predict the risk of ESD outbreaks in Atlantic Canada and in turn will encourage the development of suitable fisheries management strategies in the future.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","e38fdbff-06ce-4925-a92e-8faaaf3278a6"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Svenja Koepper","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing the effects of introducing new regulation over sea lice management and control in Atlantic Salmon farms in British Columbia, Canada","PresentationBio":null,"Title":"Dr.","FirstName":"Derek","LastName":"Price","Position":"","Organization":"Fisheries And Oceans Canada","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Farmed Atlantic salmon are frequently infected with sea lice, which may increase the exposure of wild out-migrating salmon to this parasite. In 2020, Fisheries and Oceans Canada introduced several changes to marine finfish licences to minimise this exposure.
Our objectives were to describe current and past sea lice management and control practices and assess the effects of the 2020 conditions of licence changes.
Industry-reported mitigation events and sea lice counts were used to determine sea lice abundance from 2 weeks before an intervention to 8 weeks after. Exploratory data analysis was used to describe changes in sea lice abundance over this 11-week period while a Cox proportional hazards model was used to compare how long it took to reduce sea lice abundance below regulatory thresholds.
Our analysis suggests that the abundance of sea lice was reduced after an intervention. However, the rate and duration of this reduction depended on the type of mitigation used. Additionally, we determined that the time needed to reduce sea lice under threshold was associated with the abundance at the start of in-feed medication. Compared to previous years, interventions after the introduction of new regulation favoured the use of mechanical and bath treatments and were initiated at lower abundance. Currently, almost 90% of interventions reduce lice below threshold in the first month, while previously only 50% of mitigation events achieved this outcome.
In conclusion, as farmers have incorporated new mitigation alternatives in response to challenges such as resistance to chemotherapeutants and new regulation, their ability to manage and control sea lice infestations has improved. Although this improvement cannot be attributed to regulation alone, our findings suggest availability of multiple therapeutic tools and active management to mandatory thresholds have played an important role in the farmers’ ability to control sea lice.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Derek Price","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"How current treatments for removal of salmon lice seriously affects their hosts, Atlantic salmon (Salmo salar)","PresentationBio":null,"Title":"Mrs.","FirstName":"Cecilie","LastName":"Walde","Position":"Phd-candidate/researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9c0c15f1da8e4613b4ff196f35461796","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Atlantic salmon, salmon lice, non-medicinal treatment, mortality, growth

Farmed salmon is the third most valuable export product in Norway, after natural gas and oil. One of the highest cost for the Norwegian salmonid aquaculture industry is management of salmon lice. The most applied treatments for removal of lice are non-medicinal, and involves bathing the fish in heated water or flushing/brushing the lice off the fish. We have performed a study with the objective of estimating distributions of change in mortality and growth rates after treatments for removal of salmon lice.

Three large Norwegian aquaculture companies supplied daily production data for 124 farms, from 2014 to 2019. From these data, we calculated the mortality rate after 3 311 non-medicinal treatments, and by using the formula for thermal growth coefficient, calculated daily growth rate after 1 413 non-medicinal treatments, thereby finding cage-level mortality and growth rate distributions. Effects of treatments were estimated using mixed effect linear regression.

Mortality distributions after non-medicinal treatments show wide variability, and are positively skewed, implying episodes of severe elevated mortality after treatment. A median of 790-928 out of 150 000 fish dies within two weeks after one non-medicinal treatment. These treatments also have a significant negative effect on growth rate, where estimated reduction is about 44-47 grams per fish for a seven-day period after treatment, adding up to 178 grams per fish including a seven-day pre-treatment starvation period.

The non-medicinal treatments cause serious side effects to the hosts. When deciding the optimal control strategy, information on current treatment strategies and their effect and side effects is essential. These results will be used as input for stochastic modelling of the expected economic impact of treatments for removal of salmon lice.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","32b9e4fa-3def-4467-8cec-52826aa2104d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Cecilie Walde","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Only dead fish follow the flow….Shedding light on mortality in salmonid aquaculture","PresentationBio":null,"Title":"Dr.","FirstName":"Annette","LastName":"Boerlage","Position":"Aquatic Epidemiologist","Organization":"Scotland's Rural College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eaac608d936f467d9f8ff93832cce537","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Mortality – Aquaculture – Atlantic salmon – Sustainability –Regression model

Mortality in the marine grow-out phase of salmon production is significant. For example, in Norway mortality has been around 14-17% annually over the last decade, which amounts to more than 50 million fish each year that do not finish production from smolt to harvest. This loss poses a challenge for sustainability, fish health and welfare, and ethically sound production.

To understand the drivers of mortality better and provide tools for decision making for producers in Norway and Scotland, we have investigated the effect of environmental and health management factors on mortality. For both countries, we used data on monthly mortality from every salmon farm reported to the competent authorities to build models that can help explain mortality. In Norway, we additionally followed up with a smaller time scale, using daily production and mortality data from 82 individual farms from five large salmon producing companies.

For Norway, we found for both the national and the detailed dataset that salinity and temperature are important factors influencing mortality. Treatments of the salmon against salmon lice using heated water or mechanical removal were the most important factors for mortality in both studies. Geography, weight of fish, and infections by salmon pancreas disease virus also contributed. The variation between fish groups on a farm and between farms in an area were considerable. In Scotland, we found that especially temperature and the production phase were important factors, with most variation between site cycles.

Finally, we built an interactive application (http://apps.vetinst.no/Laksetap/) with descriptions of salmon mortality for Norwegian aquaculture, that shows a dashboard and could be extended to Scotland. Such tools and model results provide insights into the mortality determinants in salmon production, and a possibility for producers to benchmark themselves, that was lacking so far.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","32b9e4fa-3def-4467-8cec-52826aa2104d","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Annette Boerlage","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-11T10:00:00+00:00","BaseEndDateTime":"2022-08-11T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-11T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T15:00:00.0000000+00:00"},{"Id":"691eb95b-8e83-4402-9e57-b3af198eba14","SessionBlockId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","Name":"Breakout Session 8.C - Epidemiologic studies in specific species (Dairy and beef cattle)","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The effects of calf management practices on first lactation cow production while accounting for genetic potential ","PresentationBio":null,"Title":"Miss","FirstName":"Elizah","LastName":"McFarland","Position":"Phd Candidate","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1e284a031abc451c913de9bf9d87a597","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The main objective of this study was to evaluate the potential impact of pre-weaning calf management practices on first lactation cow production while taking animal’s genetic potential into account.
Material and Methods: A cohort study was conducted on 220 calves from eight herds in New Brunswick, Canada. Calves genomic estimated breeding value (GEBV) were estimated. Furthermore, calf management records were collected during the preweaning period. Calves were monitored until their first lactation to collect their production records. Multivariable linear regression models were fitted to milk and fat yields standardized to a 305-day lactation.
Results: For both outcomes, time after birth the calf was first fed colostrum, and calf’s weaning weight had statistically significant impacts on yields. Feeding colostrum during 1.25 – 2 hours of life resulted in higher milk yields (576kg (SE:193kg) and 347kg (SE: 200kg), respectively) and fat yields (18kg (SE: 8kg) and 15kg (SE: 8kg), respectively), compared to earlier (0 -1 hours) and later (2.5+ hours) feeding times. Additionally, treatment with antimicrobials in the preweaning period impacted production outcomes only by a decrease in fat yield in the range of 57-71kg (SE:27kg) when an animal was sick but untreated. GEBV were statistically significant and improved the fit in both models, displaying that genetic potential is critical in the assessment of calf management effects later in life.
Conclusion: When accounting for the calf’s genetic potential (GEBV), pre-weaning calf management practices substantially impact cow milk production and fat yields within the first lactation. This could influence an animal’s productive longevity in the herd and management of preweaning calf practices. Further research on the impact preweaning calf management practices have on production in later lactations and cows’ longevity in the herd is needed.
Key Words: calf management, production, genetic potential, cohort study
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Elizah McFarland","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Association between transfer of passive immunity and health disorders in commingled dairy calves raised for veal or other purposes: a systematic review and meta-analysis ","PresentationBio":null,"Title":"Dr.","FirstName":"Abdelmonem","LastName":"AbdAllah","Position":"Student","Organization":"Montréal University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0167d475b04e44deae44881456bb3bbb","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1.Objectives:
Commingled dairy calves undergo different health problems which lead to a high antimicrobial treatment rate specially in calves with inadequate transfer of passive immunity (ITPI). The aim was to describe, in multi-source commingled dairy calves raised for veal or other purposes, the association between ITPI and important health outcomes, including mortality, bovine respiratory disease complex (BRD), and diarrhea.

2.Materials and methods:
We searched CAB abstracts, PubMed, and Web of Science for observational studies and randomized trials exploring the associations between ITPI and any of the selected outcomes. The definition of ITPI, diseases as well as specific descriptive characteristics of the studies were recorded. Random effect meta-analyses were used to summarize associations.

3.Results:
Nineteen studies were selected from 6,221 abstracts. Multiple definitions for transfer of passive immunity, and outcomes were reported. The production systems were limited to described. We observed higher odds for mortality in calves with ITPI compared with those with successful immunity transfer (OR 2.46, 95CI: 1.43–4.22, n=8 studies). The same was reported for diarrhea (OR 3.03, 95CI: 1.2-7.62, n=7 studies). A significant publication bias was found in BRD selected studies (n=5 studies) which revealed a non-significant association (OR 1.40, 95CI 0.77-2.6). In the models adjusted for the type of raising system (veal vs other purposes) as moderator, calves raised for other purposes had nonsignificant higher odds for mortality and diarrhea, OR 2.06 (95% CI: 0.71-5.98) and 3.39 (95% CI: 0.53-21.54), respectively.

4.Conclusion:
ITPI was found to be associated with mortality and diarrhea in finishing facilities for commingled dairy calves raised for veal or other purposes. Standardized definitions for transfer of passive immunity, and main calves’ health outcomes are recommended, as well as a better description of raising systems used for commingled dairy calves raised for meat production.

Key words: Mortality, diarrhea, odds ratio, publication bias, raising system
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","3c19c60b-bf2c-4701-b93e-3b18208e3913","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Abdelmonem AbdAllah","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Adoption of biosecurity practices on Dairy Farms from Quebec, Canada: A cross-sectional study ","PresentationBio":null,"Title":"Dr.","FirstName":"Vitoria Regia","LastName":"Lima Campelo","Position":"Student","Organization":"University of Montreal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Biosecurity, dairy farms, questionnaire, disease management, mastitis.

Dairy Farmers of Canada have created a mandatory accreditation program, named ProAction, to ensure milk quality in Canada. As part of this program, every other year, farmers, and their veterinarians must conduct a biosecurity risk assessment.

1.\tObjectives

The present study aimed to describe the adoption of biosecurity practices by producers and analyze veterinarians’ recommended biosecurity improvements.

2.\tMaterials and Methods

Using a retrospective cross-sectional design, the risk assessments completed between 2018 and 2021 were extracted from Vigil-Vet (a software that centralizes ProAction data). The distribution of diseases of most concern for the producer, the application of biosecurity measures, and the categories of recommendations received were described. Associations between the adoption of biosecurity practices and the categories of veterinary recommendations were investigated using logistic regression.

3.\tResults

Only the most recent risk assessment was extracted and analyzed for a given farm (n=3,825). Mastitis was the disease of most concern for dairy farmers (39%, CI: 38.1- 41.3). Regarding the adoption of biosecurity practices, having an open herd was frequent: 58% (CI: 56.9 – 60.0) of the respondents introduced new animals and 83% (CI: 81.2 - 84.4) of these open herds did not quarantine new animals. In contrast, cleaning of stalls and health equipment was ensured by 95.5% (CI: 94.8 - 96.2) and 86% (CI: 85 - 87.2) of respondents, respectively.
Logistic regression showed that the veterinarians’ recommendations were strongly associated with the producer’s answers regarding the adoption of biosecurity practices, suggesting that the risk assessment tool was directly used to identify biosecurity flaws.

4.\tConclusion

This descriptive research provides an overview of the level of biosecurity on Quebec dairy farms and will help to inform farmers, veterinarians, and policymakers as well as evaluate changes in biosecurity adoption over time.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","df5d618c-3702-4d9c-95b6-0ad39c8b6184","8fc4d524-a96c-44ab-af7e-21be4a6db35f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Vitoria Regia Lima Campelo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing biosecurity knowledge and practices among Illinois veterinarians","PresentationBio":null,"Title":"Dr.","FirstName":"Isha","LastName":"Agrawal","Position":"Graduate Research Assistant","Organization":"University of Illinois","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ce56cda06d30481d9d21a0cf28b12fac","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Effective biosecurity practices are important to protect animals and humans against infectious diseases. Veterinarians play an important role in implementing and communicating biosecurity knowledge and practices. No previous study has investigated the biosecurity perception, knowledge, and practices of Illinois veterinarians.

The study objectives are to assess the biosecurity practices of Illinois veterinarians working in clinical practice and compare their biosecurity perception and knowledge to Illinois veterinarians working in non-clinical settings.

An online questionnaire was designed using Qualtricsxm software and sent to all veterinarians registered with Illinois State Veterinary Medical Association. The survey was open for 2 months between October- November 2021. Logistic regression was used to identify the differences in Illinois veterinarians’ biosecurity knowledge and practices. A statistically significant association was demonstrated using the Wald χ2 test with a P-value ≤0.05.

In total, 104 veterinarians completed the questionnaire of which 88% were veterinarians in clinical practice, and 12% were in other work sectors. Among clinical veterinarians, 88% worked with companion animals and 12% with farm animals (bovine and swine). Sixty-five percent of the respondents were females. Seventy percent of the clinical veterinarians had more than 15 years of experience. The odds of having biosecurity training (OR=5.75; 95 % CI = 1.69-19.56) and knowledge of biosecurity guidelines (OR=4.81; 95% CI= 1.37-16.92) was significantly higher in non-clinical veterinarians. Within clinical veterinarians, the odds of having biosecurity training (OR=15.31; 95% CI=3.67-63.97) and knowledge of biosecurity guidelines (OR=7.49; 95% CI = 1.82-30.91) was significantly higher in farm animal veterinarians compared to companion animal veterinarians.

Based on the study results, a gap in biosecurity knowledge was evident among companion animal veterinarians, suggesting a need for biosecurity training and educational program.

Keywords: Veterinarian, Biosecurity, Infectious Disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","c0c76c20-a7ea-4e61-af24-1ffb79f9f561","40011888-980a-402c-868e-27ff2aacbc1b","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Isha Agrawal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The right strategy for you: Using the preferences of beef farmers to guide biosecurity recommendations for on-farm management of endemic disease. ","PresentationBio":null,"Title":"Dr.","FirstName":"Jake","LastName":"Fountain","Position":"Phd Candidate","Organization":"Charles Sturt University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In the face of limited resources, on-farm biosecurity must often compete with other farming practices for precedence. Farmers are likely to reject new knowledge or recommendations if they do not align with their personal values and farming priorities. In this study we describe a multi-criteria decision analysis (MCDA), grounded in prescriptive decision theory, with the aim to determine the most appropriate biosecurity combination for management of bovine viral diarrhoea virus (BVDV), based on the preferences of Australian beef farmers.

Quarantine, hygiene, double-fencing farm boundaries, vaccination against BVDV and strategic exposure to persistently infected animals were used to construct 23 biosecurity combinations to be assessed in the MCDA. Performance measurements for these combinations were obtained from a study that modelled the prevention of BVDV in self-replacing Australian beef farms. Seven quantifiable criteria were defined that describe the impact of biosecurity combinations on preventing disease introduction, on-farm outcomes (abortion, calf mortality, underweight sale animals), off-farm outcomes (infected animals sold) and the annual input cost of the combination. An online survey was used to collect the preferences of beef producers in Australia (the stakeholders) based on criteria performance, which were used to produce a weighted score for each biosecurity combination using point-of-truth calibration.

Double-fencing farm boundaries combined with vaccination against BVDV was the highest scoring biosecurity combination based on the preferences of all producers, despite the fact that it had one of the highest input costs. Overall, practices that only prevent introduction of BVDV into the herd scored higher than those that only prevent within-herd transmission.

This study demonstrates that economic cost is not the sole contributor to farmer decisions regarding implementation of on-farm biosecurity. The outcomes of the MCDA suggest that producer preferences favour prevention of disease introduction and the preservation of farm animal health.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0bb275db-dbe0-42d7-abe1-4ccfc61191ed","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jake-fountain-351531221","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jake-fountain-351531221","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jake-fountain-351531221","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/jake-fountain-351531221","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jake Fountain","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The value of joint vet-farmer biosecurity discussions: Novel use of social interaction analyses","PresentationBio":null,"Title":"Dr.","FirstName":"Marnie","LastName":"Brennan","Position":"Associate Professor In Epidemiology","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives:
Veterinarians (vets) are trusted by farmers and play a role in helping farmers to implement biosecurity. More research is needed to further understand the role of communication in altering biosecurity behaviours, particularly the impact of joint farmer-vet discussions. The aim of this study was to analyse joint dairy farmer-vet discussions about adoption of on-farm biosecurity by using novel social interaction methodologies.

Materials and methods:
Vet and farmer participants were invited to take part in a face-to-face meeting. Introductory presentations were given, followed by separate facilitated vet and farmer discussions, before convening a whole group discussion. Recordings and corresponding transcripts were analysed via thematic, conversation and discourse analysis. Conversation analysis assessments such as turn taking, repair and asymmetry were employed to investigate the nature of the conversation.

Results:
Thematic analysis identified the negative repercussions of ineffective communication or conflicting information surrounding biosecurity implementation, and the importance of, and type of relationship farmers had with vets and other stakeholders. The need to provide personalised biosecurity protocols on farms was identified.
Four key factors were identified via conversation and discourse analysis; namely, how the conversation facilitated agreement, and allowed participants to learn from one another in real time, how discussion enabled participants to expand and develop upon their points, and how participants were able to gain an overall improved understanding of the other participants’ opinions, even without total resolution.

Conclusion:
Discussions around the effective implementation of biosecurity measures, explored with a combination of novel techniques, demonstrated the potential for solutions to arise from utilising a discussive approach between vets and farmers. Because of the nature of the dialogue, conversation analysis resulted in an informative approach to capturing the nuanced interchange between stakeholders, highlighting the potential of this analysis framework.

Keywords:
Biosecurity, cattle, thematic analysis, conversation analysis, joint discussion","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","8fc4d524-a96c-44ab-af7e-21be4a6db35f","1304e690-d6da-410b-9c6d-a8c1adf431e9","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Marnie Brennan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Within-herd transmission of Mycoplasma bovis infection on 20 Dutch dairy farms","PresentationBio":null,"Title":"Ms.","FirstName":"Marit","LastName":"Biesheuvel","Position":"Phd","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cd887ff88667444b97957dd095300859","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Mycoplasma bovis is known for its tremendous economic impact on the cattle industry. It is considered a major contagious mastitis pathogen and can cause arthritis and pneumonia. Diagnosis of M. bovis can be difficult because of inconsistent disease expression, such as intermittent shedding. Recently, there has been more emphasis on understanding the transmission dynamics of M. bovis outbreaks. However, knowledge is limited, and transmission pathways and parameters remain unknown. Therefore, this project aims to examine within-herd transmission dynamics of M. bovis, explore corresponding transmission parameters between calves, youngstock and dairy cows, and explore environmental influences.

Longitudinal data were collected on 20 Dutch dairy farms with an outbreak in dairy cows of clinical M. bovis mastitis or arthritis. Each farm was sampled five times over three months following the onset of the outbreak. Blood, milk, and conjunctival fluid were collected from a subset of the cattle age groups and analyzed using ELISA, culture, and PCR at each sampling. Also, environmental samples were collected. For each age group, M. bovis infections were evaluated over time to explore farm-specific infection dynamics. Using a stratified SIR model, transmission parameters were estimated within and between age groups, also considering environmental sources.

In total, 924 cattle were sampled. From the first sampling onwards, antibodies were detected in all age groups, indicating infection had already spread. Nevertheless, the prevalence of ELISA-positivity was highest in cows and youngstock during the first two samplings but decreased thereafter. In contrast, prevalence of ELISA-positive calves increased over time, which could indicate a route of transmission from cows to calves. During ISVEE ’22, the corresponding transmission parameters per age group per farm will be presented.

To the authors’ knowledge, this type of study is novel and not presented before and will support better control of M. bovis outbreaks on dairy farms.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","5178adf1-eaeb-4d5b-8fce-b18677488f5a","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Marit Biesheuvel","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The status of bovine brucellosis in Gauteng Province, South Africa","PresentationBio":null,"Title":"Dr.","FirstName":"Liesl","LastName":"De Boni","Position":"Chief State Vet: Epidemiology","Organization":"Gauteng Veterinary Services","PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Gauteng Province, South Africa, is an endemic area for bovine brucellosis where an official control program has existed for >30 years. Gauteng Veterinary Services conducted a serological survey to estimate the herd and individual prevalence of bovine brucellosis and explore possible risk factors for disease spread.

Randomly selected herds were sampled in a cross-sectional survey, in 2019–2020. We collected serum specimens and completed an epidemiological questionnaire for eligible herds. Sera from all qualifying cows were screened for Brucella antibodies by Rose Bengal test and positive sera were confirmed with complement fixation test. A cut-off for individual seropositivity, CFT titre ≥30 IU/ml, was applied. Prevalence estimates were calculated, and multivariable logistic analysis was done to assess predictors for herd and individual positivity, using Stata v15.

We sampled 254 herds (9111 cattle) and estimated herd prevalence of 13.6% (95% CI: 9.8–18.4%) and cattle prevalence of 1.7% (95% CI: 1.5–2.0%). Within-herd prevalence was 8.9% (95% CI: 7.6–10.3%). Positive herds were more likely to be large [OR: 4.8 (1.8–12.8)], share grazing land [OR: 3.9 (1.7–8.7)], or not be vaccinated [OR: 2.9 (1.2–6.8)]. Individual seropositivity was also associated with herds sharing grazing land [OR: 4.2 (1.8–9.9)] and not being vaccinated [OR: 1.9 (1.0–3.8)], but isolation and testing of introductions was protective [OR: 0.1 (0.0–0.3)].

Brucellosis eradication is achievable with recognised control measures, but progress in South Africa has stagnated with poor compliance and enforcement of such measures. Cattle prevalence in Gauteng Province was lower than other endemic sub-Saharan African countries. This makes it a promising area to use as a trial for area elimination in the African context. However various hurdles including resources, farmer awareness, cross-sector commitment, and incentivisation remain, and must be addressed with all stakeholders.

Keywords: brucellosis; Brucella; B. abortus; prevalence; serology.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","b838af4f-bddf-4b1b-84d6-642a51a831fd","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Liesl De Boni","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 8.C - Epidemiologic studies in specific species (Dairy and beef cattle)","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-11T10:00:00+00:00","BaseEndDateTime":"2022-08-11T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-11T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T15:00:00.0000000+00:00"},{"Id":"0862b0d0-27f4-4e0c-b764-b82525142b47","SessionBlockId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","Name":"Breakout Session 8.A - Epidemiologic Principles and Methods","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A Practical Framework for Developing Case Definitions for Animal Diseases","PresentationBio":null,"Title":"Mr.","FirstName":"Glen","LastName":"Duizer","Position":"Surveillance Veterinarian & Epidemiologist","Organization":"Province of Manitoba","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
For infectious diseases, a case definition is a set of criteria used to distinguish an epidemiological unit (e.g., individual, group, farm) infected by a pathogenic agent (a case) from one that is not infected (non- case), for a given place at a given time.
A practical case definition framework can mitigate gaps identified in current Canadian veterinary disease surveillance and response support protocols in the following areas;
•\tConsistent reporting and communication for regulated, zoonotic, and endemic diseases;
•\tEstimation of trends;
•\tIdentification of signals;
•\tManagement of outbreaks.

Materials and Methods
A collaborative process was initiated between the Canadian Animal Health Surveillance System (CAHSS), the Centre for Veterinary Epidemiological Research (CVER) at the University of Prince Edward Island, and veterinary epidemiologists in federal and provincial governments through the Veterinary Surveillance and Epidemiology Network (VSEN). First, a scoping review of peer-reviewed scientific literature and grey literature identified approaches for case definition development and necessary conditions for each approach. Subsequently, a list of core criteria for the framework was compiled based on the assessed evidence. An iterative process was used to draft and refine the framework.

Results
The final framework contained seven sections (Figure 1): background; core information (purpose and epidemiological unit); criteria decision tables (related to disease specification, host characteristics, exposure risks, diagnostic testing); and the final case definition statement. Initial validation of the framework was completed by VSEN. The framework and an accompanying instructional manual were published under creative commons license on the Canadian Animal Health Surveillance System website (www.cahss.ca).

Conclusion
A collaborative process was used to create a case definition framework for animal diseases. The framework will be used by Canadian animal health professionals and is publicly available.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/31df453560434547b569cd881156401e","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","f3a1f750-ccc7-4a27-8389-07ca6fe98821","978aef2c-117a-4e1c-b105-03f159c579de","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Glen Duizer","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"“How are my age and cows related?” Cognitive interviewing as a tool to pretest survey questions in low-income settings ","PresentationBio":null,"Title":"Dr.","FirstName":"Marika","LastName":"Wenemark","Position":"Senior lecturer","Organization":"Linköping University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2088fa30ac9e4deca24e448a21df0fea","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
In a survey it is crucial that the respondents understand and answer the questions correctly to produce accurate and valuable results. Currently many surveys are underway in low- and middle-income countries to study how antimicrobial use in the livestock sector is driving resistance. Pretesting survey questions is important but is sometimes not performed due to limited time and resources. Cognitive interviewing is a pretesting method to give insights into the respondent’s way of interpreting and mentally processing the survey questions. It has previously been suggested that cognitive interviews may be difficult to use in some cultural settings. The aim of this study was to use cognitive interviews in a respondent-adjusted way to study how survey questions related to antimicrobial use are understood and answered by the respondents.

Material and methods
Interviews were conducted in Kenya and Uganda, with one interviewer and two notetakers in each country. We interviewed seven men and five women (age 28–68) with different socio-economic background and a variation in urban and rural settings. The participants were small-scale farmers with typically 3–15 animals (cows, pigs, goats or chickens). The interviews were conducted in Kiswahili in Kenya and Luganda in Uganda, except for one in English.

Results
The results were categorized into cognitive problems (problems in comprehension, retrieval, judgement or response) and other problems (unclear relevance, inappropriate assumptions, sensitive questions, problems in translation, phrasing or other interviewer mistakes). The results show that using cognitive interviewing, even with a small number of interviews and using interviewers with limited knowledge of cognitive interviewing, can identify many problems in survey questions.
Conclusion
From the experience of this study, we recommend the use of cognitive interviews also in situations involving many local languages and where time and resources are limited.

Keywords: Pretesting, Questionnaire, Cognitive interviewing
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Marika Wenemark","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Can a Cross-Sectional Study Estimate the Incidence of Health Events? Analysis in a Systematic Review","PresentationBio":null,"Title":"Mr.","FirstName":"Alexander","LastName":"Fonseca-Martinez","Position":"","Organization":"Michigan State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"One of the main purposes of observational studies is to seek cause and effect associations. The ability to provide measures of effect representing causal parameters, such as incidence density ratio, depending on the study design. A population-based cohort study is considered the ideal design to estimate incidence. However, conditional on meeting several assumptions the prevalence odds ratio obtained from cross-sectional studies might be interpreted as a measure of incidence rate ratio. These assumptions relate to the population, exposure measure, and outcome measure. Although cross-sectional studies are common in veterinary epidemiology, it is uncommon for authors to discuss these assumptions and the estimate obtained. As part of a systematic review developed to evaluate the association between exposure to animal-feeding operations (AFOs) and the incidence of health effects of individuals living near those facilities, observational studies were evaluated for inclusion. A large number of the studies in the review were cross-sectional and reported a prevalence odds ratio. Given the aim to assess causal associations, we determined if the assumptions could be evaluated, and estimates considered to estimate comparative incidence rather than comparative prevalence. 33 relevant references were identified, of which 14 were cross-sectional studies. 11 reported the prevalence odds ratio and 6 of these references met the assumptions to estimate comparative incidence. Health outcomes from cross-sectional studies that did not meet any of the above conditions were considered an estimate of comparative prevalence. Only references that provided estimates of comparative incidence were eligible for the risk of bias assessment. In conclusion, half of the cross-sectional studies identified were able to provide estimates of the incidence of health events and be part of the risk of bias assessment.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Alexander Fonseca-Martinez","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Direct Bayesian estimation of alternative outcome probabilities in mediation modeling.","PresentationBio":null,"Title":"Dr.","FirstName":"James","LastName":"Thompson","Position":"","Organization":"Texas A&M University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Mediation analysis was first described by Baron and Kenney and its development has required decades of evolution to reach its current credibility. Advances have resulted from methods that more thoroughly evaluate alternative outcomes. These models control for the mediating variable (M) by providing M a specific value (m). In causal modeling, estimating the effect of a causal factor (X) on an outcome (Y) at specific levels of M can be referred to as the conditional direct effect (CDE). Recently, the alternative outcome approach has been advanced to estimate the CDE including interaction and estimated using frequentist implementation. To be homologous with earlier theory, the interaction needs to be included in the model regardless of its statistical significance. The interaction contains very important causal consequences and was, recently, included in the Bayesian Structural Equation Modeling (SEM). This approach preserves the Bayesian advantages for variance estimation. In a Bayesian implementation, the variance estimates for both the total effect (TE) and CDE are available from the full posterior distributions and are considered accurate and unbiased. We believe that Bayesian (SEM) approach that includes the interaction is the state of the art for mediation modeling. However, there remains a serious limitation to overcome because there has been no progress on how to implement the Bayesian SEM approach for a highly dimensional analysis (many interacting causes). This can be resolved by considering one of the substantive differences between frequentist and Bayesian approaches. Bayesian analysis provides direct estimates for the probability of counterfactual outcomes. How to capture this Bayesian advantage to complete mediation analysis of multiple interacting factors is illustrated with an example.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c54f9b9d-8dfb-410e-9187-f32dd54c71fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. James Thompson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using precision technology to investigate personality and predictability of movement and space use in farmed calves and their associations with production.","PresentationBio":null,"Title":"Miss","FirstName":"Francesca","LastName":"Occhiuto","Position":"Phd Student","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Recent improvements in precision livestock technologies have created an opportunity to collect large amounts of high-quality data on the behaviour of farm animals. Individual differences in behaviour can impact welfare, productivity and disease susceptibility. Understanding this variation can help when using behaviour as indicators for early disease detection or as welfare measures. Differences in movement are often used to describe personality types and modern location sensors provide a great tool for investigating farm animal movement.

In this study we measured inter-individual variation (personality) and intra-individual variation (predictability) in movement and space use using location sensors that continuously monitored 60 individual calves for 40-48 days. The data were analysed by fitting mixed-effects models for the following variables: walked distance, area used, site fidelity and time spent in the feeder area. Using double-hierarchical models we calculated repeatability (the proportion of total variation explained by the difference between individuals) and coefficient of variation in predictability (CVp). A multivariate model was used to measure the correlations between the behaviours.

The results showed consistent differences in average behaviour and in predictability between individuals. The behaviour with the highest repeatability and CVp was area used (ICC=0.78, CVp=0.41), indicating the existence of an “exploratory” personality. Individuals with a higher distance travelled also had a higher area used (r=0.29), and spent more time near the feeder (r=0.31). The distance travelled was also positively correlated with the weight gained by calves during the trial, indicating a connection between personality types and growth rate.

Overall, these results demonstrated the efficacy of using sensors to detect personality types and predictability in farm animals. They also highlighted the importance of accounting for individual variation in behaviour and the potential of using these measures to improve the welfare and health of farm animals.

Keywords: Animal personality, predictability, repeatability, inter-individual variability, space use","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":"FrancescaOcch10","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"FrancescaOcch10","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=FrancescaOcch10","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=FrancescaOcch10","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Miss Francesca Occhiuto","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Setting clinically relevant thresholds for outbreak communication to companion animal clinicians- a semiquantitative approach","PresentationBio":null,"Title":"Miss","FirstName":"Carmen","LastName":"Tamayo","Position":"Phd Student","Organization":"University of Bristol","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The Small Animal Veterinary Surveillance Network (SAVSNET) has developed mathematical models that link veterinary practice and diagnostic laboratory data to detect genuine outbreaks of canine disease in the UK. There are, however, no validated methods available to establish the clinical relevance of these outbreaks without conducting further formal investigations. In this study, we aim to determine reporting thresholds that correspond to increased case incidence considered of practical importance by companion animal clinicians and to investigate outbreak predictive values suitable for veterinarians in first-opinion practice.
Materials and Methods
An intensity sampling approach was used to recruit participants from our target audience of veterinary practitioners, according to their years of experience, practice size and whether they contributed data to SAVSNET. We conducted in-depth semi-structured interviews to define clinically relevant notification thresholds for six canine diseases that best reflected participants’ preferred balance between levels of disease incidence and predictive certainty of the detection system. Interviews were transcribed and a thematic analysis was performed using NVIVO12 qualitative data analysis software.
Results
Five interviews were completed, and preliminary findings indicated higher preferred levels of predictive certainty for endemic diseases (95-99%) than for exotic diseases (80-90%). Reporting rates were considered clinically relevant at values representing a two to four times increase in the normal expected case incidence for endemic agents like parvovirus. However, even individual cases in a practice’s catchment area would be an appropriate threshold for exotic diseases like leishmaniosis and babesiosis.
Conclusions
We propose an innovative methodology to inform the development of an outbreak notification system of canine infectious diseases by enriching statistical signals with qualitative information derived from practitioners’ opinion. We intend to implement the clinically relevant thresholds on SAVSNET’s outbreak detection system to help improve the UK’s preparedness for dealing with canine epidemics.
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To understand spatial diffusion and evolution of a rapidly spreading sub-lineage (L1A) of porcine reproductive and respiratory syndrome virus (PRRSV) type 2 in the U.S. between 2014-17, we incorporated empirical pig movements, environmental and spatial data in a Bayesian phylodynamic model. PRRSV is the costliest endemic pathogen affecting pigs in the U.S.; this virulent sub-lineage emerged in 2014 and is currently the dominant sub-lineage in the U.S. swine industry.
Data included 984 ORF5 PRRSV-L1A sequences from a swine dense production region (~ 85,000 mi2) in the U.S. from 2014-17. We divided the study area into sectors over which we summarized model covariates and between-sector animal movements by age (wean: 3-4 weeks; feeder: 8-25 weeks; breeding: ≥21 weeks).
Using a discrete-space phylogeographic generalized linear model in Bayesian evolutionary analysis by sampling trees (BEAST), we inferred that feeder pig movements, spatial adjacency of sectors, and farm density in the destination sector increased between-sector diffusion rates of L1A. L1A was introduced in the study area in early 2013; genetic diversity and effective population size peaked in 2015 and fluctuated seasonally in subsequent years (summer peaks).
This study highlights the importance of animal movements, and for the foremost demonstrates that feeder-pig movements shaped spatial spread of PRRSV more than wean/breeding movements. The inclusion of type-stratified movement data in phylodynamic models may enhance detection of vital routes for pathogen spread and intervention opportunities to manage infections.

Keywords: Bayesian inference; molecular epidemiology; livestock networks
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","40011888-980a-402c-868e-27ff2aacbc1b","df5d618c-3702-4d9c-95b6-0ad39c8b6184","c54f9b9d-8dfb-410e-9187-f32dd54c71fc","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Dennis Makau","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 8.A - Epidemiologic Principles and Methods","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-11T10:00:00+00:00","BaseEndDateTime":"2022-08-11T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-11T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T15:00:00.0000000+00:00"},{"Id":"f124a13e-54a1-4813-86cf-e88da83548c2","SessionBlockId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","Name":"Breakout Session 8.E - Epidemiology of emerging/zoonotic diseases","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Disease frequency of Brucella spp., Leptospira spp. and Coxiella burnetii in small ruminants in Tana River County, Kenya","PresentationBio":null,"Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Organization":"International Livestock Research Institute, Uppsala University and Swedish University of Agricultural Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Bacterial infections are the leading causes of non-malarial fevers in Africa. Brucellosis, leptospirosis, and Q fever are priority zoonoses in Kenya, but little information on their epidemiology is available to date. Therefore, we implemented this longitudinal study by following up 316 small ruminants on September, November, and December 2014, and January, March, and June 2015.

Materials and methods
Sampling was done in pastoral, irrigated, and riverine settings in Tana River County. We aimed at estimating the disease burden, disease frequency, and associated risk factors for both exposure and seroconversion. We tested for: (i) Coxiella burnetii using an IgG ELISA, (ii) Leptospira spp. using the microscopic agglutination test, and (iii) Brucella spp. using the complement fixation test. We further tested seropositive animals by real-time PCR.

Results
The overall seroprevalence estimates were highest for Coxiella burnetii (20.89%, 95% confidence interval [CI]: 16.54-25.79), followed by those of Leptospira spp. (15.97%, 95% CI: 12.09-20.51) and Brucella spp. (1.27%, 95% CI: 0.35-3.21). Despite this, we observed more seroconversions for Leptospira spp. (27) than Coxiella burnetii (10) and Brucella spp. (0). Analysis of the risk factors and incidence rate estimations are still ongoing. Three animals were positive by PCR for Brucella spp. either consistently or intermittently for almost the entire study period, demonstrating the possibility of prolonged periods of transmission. One animal was also PCR-positive for C. burnetii, but we detected no pathogenic leptospires. The most prevalent leptospiral serovar was Ballum, but evidence of paradoxical reactions was seen. Therefore, infective serovars in the area should be proven by isolation of leptospires.

Conclusions
The high number of seroconverting animals in the study area shows the need for surveillance and control measures to reduce animal disease burden and possible human exposure.

Keywords
Brucellosis, leptospirosis, Q fever, coxiellosis, seroconversion, sheep and goats, land-use","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fad4e092-eee7-46ed-b4a6-a335b0f641b7"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Johanna Lindahl","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Exposure to Coxiella burnetii in American students attending veterinary school in the Caribbean","PresentationBio":null,"Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7399650c1a0c4da0a3acc11bbbb5be70","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Following the detection of Coxiella burnetii seropositive sheep on a veterinary campus in St. Kitts (West Indies), we aimed to evaluate the risk of exposure to C. burnetii in the veterinary student population during their two-year residence on the island.

We sampled blood from incoming veterinary students (<1 month residence in St. Kitts) and outgoing veterinary students (end of the pre-clinical curriculum, ~2.5 years of residence). Serology was performed using indirect immunofluorescence assay to test Coxiella burnetii Phase I and Phase II immunoglobulins M and G. Seropositivity was defined as any immunoglobulin positive at or above 1:64 dilution. Background data were gathered using a standardized questionnaire. The main exposure variable (incoming/outgoing) was tested by logistic regression. Other risk factors were compared using logistic regression with the incoming/outgoing variable forced in the model.

Of the 98 participants (48 incomings and 50 outgoings), 41 (41.8 %, 95 %CI: 31.9-52.2) were seropositive to C. burnetii. There was no significant difference between the two groups (45.8% for incoming vs. 38.0% for outgoing) (p=0.4). No risk factors were significantly more reported in the seropositive group. U.S. state of origin of the students was not associated with seropositivity either.

Despite the presence of Coxiella burnetii on St Kitts, there is no higher risk of exposure for students attending the veterinary university. However, the baseline of seroprevalence in incoming students was much higher than expected. Most of these participants had experience with animals either through farming or previous veterinary technician employment. We, therefore, hypothesize a high exposure to C. burnetii with domestic animals in the U.S. This supports the recent observed increase in the number of human cases, as well as the need to improve animal and human surveillance and control measures in the U.S.

Keywords: Q fever, zoonosis , DVM students

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Anne Conan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimated prevalence of parasites of the genus Echinococcus in wild canids in southern Québec, Canada","PresentationBio":null,"Title":"Miss","FirstName":"Eve-Marie","LastName":"Lavallée-Bourget","Position":"","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Echinococcus spp., including E. multilocularis, are two zoonotic parasites spread by wild canids which exhibit spatial expansion and emergence in North America. Given that they can cause severe lesions and mortality in the absence of treatment, the recent detection of the first human case of E. multilocularis in Québec raises significant public health concerns. This project aims to estimate the prevalence of parasites of the genus Echinococcus in coyotes (Canis Iatrans) and red foxes (Vulpes vulpes) near inhabited areas in Québec and to describe their geographic distribution.

Material and Methods: A cross-sectional observational study was conducted on 423 coyote carcasses and 284 red fox carcasses collected in Québec (Canada) during winter 2020-2021. Coproscopy identifying gastrointestinal parasites and an RT-PCR (Echinococcus RealPCR™ Panel IDEXX Laboratories) for the detection of Echinococcus spp. and E. multilocularis were performed on feces. The distribution of carcasses according to their Echinococcus status was mapped and the presence of clusters of infection was assessed with the Kulldorff spatial scan test. Associations between infection status and sex, species, and carcass location were estimated with a logistic regression model.

Results: A total of 38 positive cases of Echinococcus spp. and 25 of E. multilocularis were detected by RT-PCR. Two clusters with higher risk of infection have been identified in Montérégie and Bas St-Laurent. The logistic regression model did not show statistically significant association between the variables.

Conclusion: This study demonstrates that Echinococcus is present in Québec and highlights the importance of implementing preventive measures to limit humans and domestic animals transmission and raise awareness among most at risk populations.

Keywords : Echinococcosis, Echinococcus multilocularis, Quebec, Prevalence, Wildlife","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","76c84259-9a28-4ba9-a370-db4b00031911"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Eve-Marie Lavallée-Bourget","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Vector competence of Mediterranean mosquitoes for Rift Valley fever virus: a meta-analysis","PresentationBio":null,"Title":"Mr.","FirstName":"Alex","LastName":"Drouin","Position":"PhD student","Organization":"CIRAD / Anses","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c5f1cde3770041d5a8a936689fe0d56f","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background
Rift Valley fever (RVF) is an arbovirosis mainly transmitted by Aedes and Culex mosquitoes. Circulation of the virus in Egypt and Libya as well as the existence of unregulated live animal trade with endemic areas raise concern about the possibility of virus incursion in other Mediterranean countries, where mosquitoes that are potentially competent for RVF virus transmission are present. Competence of vectors for a given pathogen can be assessed through laboratory experiments, but results may greatly vary according to study designs.

Objective
We systematically reviewed the literature and conducted a meta-analysis aiming to quantify vector competence of five potential important RVFV vectors in the Mediterranean basin, namely Aedes detritus, Ae. caspius, Ae. vexans, Culex pipiens and Cx. theileri.

Materials and Methods
From published laboratory studies, we extracted data allowing the estimation of five outcomes: the infection rate (IR), the dissemination rate among infected mosquitoes (DR/I), the overall dissemination rate (DR), the transmission rate among mosquitoes with a disseminated infection (TR/D) and the overall transmission rate (TR). After selecting the appropriate structure of random effects for the meta-analysis models, we assessed the effect of mosquito species and estimated the outcomes values for each species. Lastly, we evaluated the potential influence of laboratory study designs on the variability of these outcomes using meta-regressions.

Results
Thirty-four articles were included in the meta-analysis. Species had a significant effect on IR, DR/I, DR, TR/D but not on TR. Aedes caspius seemed to be the most competent vector among the five species considered.

Conclusion
Our analysis confirms that the five species of interest could be involved in RVF transmission in the Mediterranean basin, and should promote further investigation about the risk of RVF introduction in the up-to-now free region as well as reinforced surveillance in risky areas.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","43b008b2-8eab-460a-b708-b149b223981a","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Alex Drouin","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 8.E - Epidemiology of emerging/zoonotic diseases","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-11T10:00:00+00:00","BaseEndDateTime":"2022-08-11T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-11T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T15:00:00.0000000+00:00"},{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","SessionBlockId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","Name":"8_Special Session: Global Burden of Animal Disease","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":"Current use of economics in animal health tends to focus on specific diseases, largely the transboundary diseases, and a limited range of strategies to control these diseases. This partial approach leaves the animal health profession poorly placed to understand where burdens lie at farm, sector and societal level. The Global Burden of Animal Diseases programme will provide a powerful basis for evidence-based decision-making in animal health, livestock production and the livestock sector in general. It will achieve this through presenting the animal health burden in standardised terms of its economic components: production loss; expenditure; and trade. The GBADs information portal will allow users to examine this burden: by the type of farmer and consumer; in different geographical regions; and in different time periods.

\r\nThe session will report on the progress of the GBADs programme in terms of methods, information at global, regional and country level and education.\r\n

\r\nAGENDA
\r\n
Introduction
\r\n•\tJonathan Rushton – overview of the GBADs programme (5 Minutes)
\r\n
Methods
\r\n•\tDi Mayberry – Understanding livestock production systems for disease burden analysis (10 minutes)
\r\n•\tGemma Chaters - Animal Health Loss Envelope – (10 minutes)
\r\n•\tDiscussion on presentations 1 – 3 (5 minutes)
\r\n•\tMieghan Bruce – Disease ontology and attribution (10 minutes)
\r\n•\tPhilip Rasmussen – A co-morbidity model to attribute the health loss envelope (10 minutes)
\r\n•\tDustin Pendell – Wider economic impacts of animal health (10 minutes)
\r\n•\tDavid Pigott – Livestock impacts on human health (10 minutes)
\r\n•\tDiscussion on presentations 4 – 7 (5 minutes)
\r\n•\tTheresa Bernardo, Deborah Stacey – Informatics of a global burden of animal disease programme (10 minutes)
\r\n•\tWudu Temesgen – Application of analytical processes within-country (10 minutes)
\r\n•\tDiscussion on presentations 8 – 9 (5 minutes)
\r\n
Validation
\r\n•\tEdna Kallon – Validating and institutionalising the GBADs methods (5 minutes)
\r\n•\tAmy Hagerman - Validation Reference Group of Experts Report (10 minutes)
\r\n•\tJonathan Rushton – GBADs going forward (5 minutes)
\r\n•\tClose\r\n","Overview":"Chairs: Jonathan Rushton & Matthew Stone","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Overview of the Global Burden of Animal Diseases (GBADs) programme","PresentationBio":"Jonathan Rushton is an agricultural economist who specialises in the economics of animal health and food systems. His principal research interests are the: Global Burden of Animal Diseases (GBADs) where he directs a global programme with OIE (https://animalhealthmetrics.org); economics of antimicrobial use and resistance in livestock; and assessment of the multidimensionality of food quality and public health. He is involved in the EU funded projects: ROADMAP (https://www.roadmap-h2020.eu) on the economics and social sciences of antimicrobial use in livestock; and DECIDE (https://decideproject.eu) on data-driven approached for the prioritisation and control of non-regulated diseases. Jonathan embraces One Health approaches in the search for solutions to society’s health problems.
Jonathan is professor of animal health and food systems economics at the Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, leads a University Centre of Excellence for Sustainable Food Systems (https://www.liverpool.ac.uk/centre-for-sustainable-food-systems/) and is part of the N8 Agrifood programme (http://www.n8research.org.uk). He is also adjunct Professor in the School of Behavioural, Cognitive & Social Sciences of the University of New England, Australia and founding president of the International Society for Economics and Social Sciences of Animal Health (http://www.isessah.com). In 2020 he became a Senior IIAD Fellow in Epidemiology at Texas A&M.

","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/633f255b1eb34590beab552af459b91d","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The Global Burden of Animal Diseases (GBADs) programme is a consortium of research and academic organisations co-led by the World Organisation of Animal Health (WOAH) and the University of Liverpool. GBADs is developing and implementing a systematic assessment of the burden of animal diseases and health problems.
GBADs has developed an overarching framework (see Figure). Livestock populations are split by species and where possible production systems with information generated on their biomass and the economic investment in animals. This is followed by an assessment of the gap in production due to disease and health issues, which has been called an animal health loss envelope (AHLE) that is made up of production loss and expenditure. The AHLE creates a boundary for the total burden for a livestock population and it can be attributed by cause and where possible risk factors. The assessments of the burden of diseases at farm-level will be used in sector and economy models to determine who in society is impacted by the burden. The information of the animal disease burden is also being explored in terms of impacts on human health with regards to zoonoses, AMR and nutrition. Data to generate the burden estimates and their impacts are gleaned from the academic literature, and public and private organisations. GBADs is working at a global level with country case studies.
The GBADs programme is in the proof-of-concept phase and is making early estimations of disease burdens at a global and national levels. The details of the data flows and analytic procedures will be outlined in the special session by the GBADs theme leads.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e9babc7c48f44d23b265a48595dae513","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":"10:00:00","EndTime":"10:05:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Jonathan Rushton","TimeDisplay":"10:00 AM - 10:05 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Understanding livestock production systems for disease burden analysis","PresentationBio":null,"Title":"Ms.","FirstName":"Dianne","LastName":"Mayberry","Position":"RS","Organization":"CSIRO","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/23f751d258674d1a92fd6de4caf812e1","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"As part of the Global Burden of Animal Diseases (GBADs) Program, the Populations and Production Systems Theme is collating and analysing data to quantify the biomass and economic value of terrestrial livestock production at local and global scales. This information underpins analyses by other GBADs Themes to understand the magnitude and value of animal health losses within a system, and how changes in livestock populations might impact livelihoods and the environment.
Biomass is the sum of individual liveweights for a given population. At the global scale, this can be calculated using country-level estimates of livestock populations (e.g., from FAOSTAT) and liveweight values based on either generic species-level assumptions (e.g., Tropical Livestock Units) or proxy data (e.g., average slaughter weight). More accurate estimates of biomass are available at national and sub-national scales in countries where data is available to disaggregate populations by breed, sex, and age structure, and more appropriate liveweight values can be assigned to each class of livestock. The economic value of livestock production was calculated at the global scale as the combination of asset values (i.e., live animals) and output values (e.g., meat, eggs, milk).
At the global scale, while poultry have the largest population (25.4 billion head, 38.8 billion kg liveweight, 444 billion USD in 2018), biomass and market value are dominated by the cattle sector (1.5 billion head, 483.7 billion kg liveweight, 1.79 trillion USD in 2018). The comparison of asset and output values for livestock across different species and countries highlights differences in the ways livestock are valued. For example, results suggest that poultry and pigs are mostly valued for the output they produce (meat and eggs), while cattle and small ruminants have similar asset and production values. The relative contribution of asset value to total market value is highest in low- and middle-income countries, reflecting the varying and complex socio-economic roles of livestock around the world.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:05:00","EndTime":"10:15:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"dimaybs","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"dimaybs","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=dimaybs","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=dimaybs","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Dianne Mayberry","TimeDisplay":"10:05 AM - 10:15 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The Animal Health Loss Envelope - quantifying disease burden in diverse livestock systems","PresentationBio":null,"Title":"Dr.","FirstName":"Gemma","LastName":"Chaters","Position":"Analyst","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0698890284a84ad5bf5af4355525ba49","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The efficiency of livestock systems is compromised by communicable and non-communicable disease, accidents, injuries, predation, drought and malnutrition. The Global Burden of Animal Diseases programme (GBADs) recognises the economic purpose that livestock fulfil and quantifies the burden of these hazards at farm level in financial terms in the first instance by means of an animal health loss envelope (AHLE). The defining characteristics of this envelope are intended to exclude productivity change arising from non-health effects such as genetic and technological variation, and assess system productivity against an ideal free from morbidity and mortality. In such a manner, all causes of both morbidity and mortality theoretically can be attributed within this envelope with no risk of double counting. This short communication discusses the economic basis for setting the boundaries of the envelope, the progress made within the GBADs programme toward operationalising the AHLE concept and the plans for its further development in terms of data availability and analytical methods.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:15:00","EndTime":"10:25:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gemma Chaters","TimeDisplay":"10:15 AM - 10:25 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The Animal Health Ontology: a data-driven approach for calculating cause-specific burden of animal disease","PresentationBio":null,"Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Digital technologies in agricultural infrastructure and research produces large quantities of data that will facilitate understanding of animal production systems and measuring the burden of disease. Due to the heterogeneity within these sources, a machine-readable data model with a well-defined vocabulary of terms, connected with logical relationships – an ontology – is required. The design of the Animal Health Ontology (AHO) as a is informed by its application for the Global Burden of Animal Diseases program. It includes components for measuring the burden of disease; (i) animal demography (species, breed, sex, age); (ii) production system categories; (iii) the inputs and outputs of the production systems; and (iv) disease characteristics (Figure 1). Each term within the AHO has a definition, synonyms, context for use, and links to other animal health data catalogues. The AHO is central for data integration, enabling the annotation of data sources, such as census data, published studies and laboratory reports.

The ontology-based data integration approach is used in the methodological framework for the cause-specific attribution of the animal health loss envelope. The starting point is a cause list, broadly categorised into infectious, non-infectious, and external factors. For each cause, characteristics including measures of disease frequency, severity, duration, and outcome - expressed as a loss in production for example milk, meat, or fertility, or mortality - are defined. The accurate identification and specification of disease characteristics within the AHO provides a data-driven approach to assist in the annotation of heterogenous animal health data required to measure the burden of disease. These annotated datasets are then machine-readable, discoverable in the semantic web, interoperable and reusable. The cause list, associated characteristics and outcomes will be updated and expanded as new data becomes available, whilst adjusting for multimorbidity will improve these estimates.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/617ce92ac35f40748780307153d6fb2f","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":"10:30:00","EndTime":"10:40:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mieghan Bruce","TimeDisplay":"10:30 AM - 10:40 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimating the health loss envelope","PresentationBio":null,"Title":"Mr.","FirstName":"Philip","LastName":"Rasmussen","Position":null,"Organization":"University of Zurich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The Global Burden of Animal Diseases (GBADs) is an international collaboration aiming, in part, to measure and improve societal outcomes from livestock. The authors explore the theoretical framework of an animal health loss envelope (AHLE) to limit the potential for overestimation and propose a method to generate comorbidity-adjusted economic burden estimates for global livestock systems.

Materials and methods: The authors suggest that the maximum potential livestock productivity in a utopian scenario and the current observed productivity form the upper and lower bounds, respectively, of a livestock system’s AHLE. While this AHLE contains many abstract and potentially difficult to measure components such as the impacts of management and genetics, a significant proportion is attributable to endemic diseases and health conditions. Therefore, the authors propose a model based on Bayes' Theorem to derive conditional probabilities from inter-disease odds ratios and prevalence estimates in the literature. These conditional probabilities are then used to adjust productivity impact estimates from the literature to account for comorbidities.

Results: The model has been demonstrated in an example dairy cattle system with production and disease parameters and input values based on the UK and is currently being programmed in R, a free software environment for statistical modelling. Large-scale systematic reviews and meta-analyses are underway to populate several iterations of the model that will generate comorbidity-adjusted economic burden estimates for endemic diseases and health conditions in global small-scale poultry, high-income dairy, and Ethiopian intensive dairy and mixed-purpose cattle systems.

Conclusion: This approach allows for disease impact estimates to be aggregated without double counting. It can be applied to various livestock systems and can be updated as new prevalence, impact, and disease association data become available. It also provides a framework to identify key knowledge gaps and quantify the significance of prevalence, impact, and disease association input values helping to guide future research and policy.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:40:00","EndTime":"10:50:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Philip Rasmussen","TimeDisplay":"10:40 AM - 10:50 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Wider Economic Impacts of Animal Health","PresentationBio":null,"Title":"Professor","FirstName":"Dustin","LastName":"Pendell","Position":"Professor, Director of Graduate Programs","Organization":"Kansas State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Increasing population growth and rising demand for livestock and livestock products are integral to improving food and nutrition security, health, and livelihoods across the world. As such, interest has grown in identifying and assessing the wider economic burdens of animal health and livestock diseases to better understand and prioritize resource allocation. Who is burdened and by how much? Economic methods and empirical measures will be presented with selected case studies in small ruminants in Ethiopia and broilers in the United States.

Methods: Methods will follow and expand on the economic literature, which rely on equilibrium calibration models to assess market outcomes for animal health and livestock disease events (Paarlberg et al. 2008; Pendell et al. 2015, 2016; Tozer et al. 2012; Nogueria et al. 2011; Hennessy and Marsh 2021). Measures of consumer surplus and producer surplus will be used to assess the amount of economic burden across economic agents. Currently, we are focusing on broilers in the USA. In the United States, agriculture and livestock are important but a small part of the GDP, so a partial equilibrium model is employed. We are also focusing on small ruminants in Ethiopia. Here, agriculture and livestock play a major role in the country’s GDP, so both a partial equilibrium and a general equilibrium model are used.

Case Studies: Specifically for broilers in the USA the approach will follow Thompson et al. (2019). For small ruminants in Ethiopia, the methods are defined in Golam (2022).

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:50:00","EndTime":"11:00:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Professor Dustin Pendell","TimeDisplay":"10:50 AM - 11:00 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Progress towards quantifying the impact of poor livestock health outcomes on human health","PresentationBio":null,"Title":"PhD","FirstName":"David","LastName":"Pigott","Position":"Assistant Professor","Organization":"University of Washington","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Livestock are an essential component of human society, whether as a source of food, an asset, or a tradable commodity generator. As such, poor health outcomes in animals have a variety of impacts on subsequent human welfare and health, directly and indirectly. Using the Disability-Adjusted Life Years (DALYs) framework, we have explored the linkages between human and animal health outcomes, and identified necessary data and proposed methodological pathways to quantify these outcomes, with more detailed examples outlined for zoonotic pathogens, anti-microbial resistance (AMR), and diet.

For zoonotic pathogens, we identified global priorities for zoonotic pathogens, demonstrating where burden assessments are most necessary and surveyed the literature to identify the current state-of-the-art with respect to regional and global estimates of their impact. While some pathogens, such as Salmonella, are represented often, this is more through the lens of food safety, or diarrheal disease, rather than zoonoses. In contrast, a zoonotic disease such as anthrax, which has both biosecurity concerns in addition to transmission in endemic settings, was identified as a priority by 73 different nations, yet no global burden assessment has been undertaken. For brucellosis, another priority zoonosis, we undertook a detailed review of prior burden estimates to identify key data gaps and parameters that are disproportionately overlooked in current assessments. For instance, we saw variation in the sequelae associated with brucellosis infection, paired with duration parameters ranging from two weeks to four and a half years; such decisions have large impacts on subsequent total DALYs.

For AMR, we are determining the One Health priority drugs, and evaluating global data on AMR prevalence in livestock species by assessing the ResistanceBank repository and selected national survey programs. We identify countries and bug-drug combos that are currently underrepresented within existing surveillance and contrast these gaps with key features such as livestock census counts to better understand the possible consequences of this missing data. Moreover, we evaluate the correlation between the percentage of isolates from humans that were resistant for specific bug-drug combinations, as estimated by the Global Burden of Disease, with their animal comparator to determine which combinations are the most likely to benefit from more detailed investigations into causal linkages between animal patterns of resistance and human infections. To further explore the available evidence on this link, we review and summarize studies attributing human AMR to livestock AMR.

Finally, we lay out a holistic blueprint for quantifying the total impact of poor animal health on humans, and using diet and nutrition as an example, we outline a quantification pathway by which forecasts, and scenarios could be produced that propagate changes in the health of livestock and their subsequent impacts, mediated via food, on human health outcomes. We identify a constellation of pre-existing processes that, if chained together, could translate measures of productivity losses or gains, into macro- and micronutrient intake patterns, changes in population risks and exposures, and therefore corresponding changes in human health. In doing so, we demonstrate a proof-of-concept as to how we can begin to breakdown the various consequences of poor animal health into quantifiable and comparable elements. These collated methods and data represent the first time that a comprehensive attempt to quantify the total impact of animal health on humans has been presented.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"11:00:00","EndTime":"11:10:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"PhD David Pigott","TimeDisplay":"11:00 AM - 11:10 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The Global Burden of Animal Diseases (GBADs) Informatics Theme: Progress Towards Dynamic One Health Data","PresentationBio":null,"Title":"Ms.","FirstName":"Theresa","LastName":"Bernardo","Position":"Professor, IDEXX Chair in Emerging Technologies and Preventive Healthcare","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The calculation of the Global Burden of Animal Diseases (GBADs) will be based on the most recent data-driven evidence accessed from existing data sources. Whereas the Global Burden of Disease (GBD) Study for humans, first published in 1990, is now updated every few years, the goal for GBADs is to provide continual updating as changes are made to the underlying data. Providing transparency regarding where the data came from and what has been done to it, as well as an assessment of data quality, will engender trust in the data itself, as well as the resulting models and dashboards. We are also incorporating best practices and standards, as documented in our Data Governance Handbook.
Even an apparently simple input variable, such as the number of animals by species, has proved difficult to reconcile as each species is categorized in different manners by leading data sources and over time. Each output serves as an input for additional calculations, introducing the risk of amplifying data errors. For example, accurate estimates of livestock numbers are necessary to estimate biomass, which is used in estimating economic investment in animals and infrastructure for GBADs. Biomass, however, is also used to estimate antimicrobial use and for climate change deliberations, illustrating the importance of sharing reliable data across human, animal, and environmental health, or One Health Data. GBADs data also factor into Sustainable Development Goals, including hunger, health, responsible production, climate action and livelihoods.
The Informatics Theme, comprised of a mix of epidemiologists and computer, data and other scientists at the University of Guelph, works closely with other GBADs Themes to ensure reproducible results, facilitate data flow, support data analysis and visual representation in dashboards and through data stories. An overview of our data products will be presented.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"11:10:00","EndTime":"11:20:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Theresa Bernardo","TimeDisplay":"11:10 AM - 11:20 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Application of analytical processes in country - implementing GBADs methodology in Ethiopia","PresentationBio":null,"Title":"Mr.","FirstName":"Wudu Temesgen","LastName":"Jemebru","Position":"Researcher","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":9,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The Ethiopian case study provides a worked example of the GBADs process and methodology from data gleaning, cleaning and processing to outputs. National central statistical agency databases, meta-analysis of literature review data and expert elicitation (Cooke and IDEA methods) were used to generate data for the analytical process (Fig 1). Key livestock species relied upon in Ethiopia include cattle, poultry, equids, camels and small ruminants and here we present the small ruminant example.

Step 1 classified livestock production systems present in the country and step 2 estimated livestock biomass within each production system (number of animals multiplied by average weight of animals within age-sex groups). Step 3 estimated the monetary value of livestock (number of animals multiplied by current market value) and the economic output value (offtake, change in flock size, hides, dung, milk) by multiplying current production volume (e.g., heads, kg, litre) by corresponding market prices. Step 4 estimated the animal health loss envelope (AHLE). This is the difference in production (outputs - inputs) between the current scenario and an idealised scenario where all livestock are free from disease, accidents, injury and predation and have adequate access to water and nutrition. For sheep in the crop mixed livestock system the AHLE was estimated at 30500 million birr (US$ 735 M) per year. Step 5 attributed the AHLE to three broad level causes: i) external factors ii) infectious causes and iii) non-infectious causes. Initial analysis shows 49% (median) of mortality losses in small ruminants in the crop-mixed-livestock system (10 million animals per year) are attributable to infectious causes, 28% to non-infectious and 23% to external.

Step 6 passes the AHLE to the wider economy theme who will estimate gross changes and impact on the economy resulting from the AHLE burden and Step 7 is to work with the human health theme to estimate a combined burden of zoonoses on human and livestock health.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/177b46eb83ca496db95e5b5fc6e7aa52","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":"11:20:00","EndTime":"11:30:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Wudu Temesgen Jemebru","TimeDisplay":"11:20 AM - 11:30 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessment of the Global Burden of Animal Diseases current activities 2018-2022: Scientific opinions of an independent reference group","PresentationBio":null,"Title":"Dr.","FirstName":"Amy","LastName":"Hagerman","Position":"Assistant Professor","Organization":"Oklahoma State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":10,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Assessment of the Global Burden of Animal Diseases current activities 2018-2022: Scientific opinions of an independent reference group
A Reference Group (RG) consisting of subject matter scientists in livestock population modelling, epidemiology, economics, and data science was mid-2022 tasked to assess GBADs data flows, data sources, as well as proposed and used applied analytical tools. The RG listened to presentations by GBADs collaborators before filling in a pre-developed standard matrix for each of the presented topics that covered (1) relevance (2) technical clarity of methods (3) data and estimates and (4) overall approach for the Phase II work-to-date.
According to the RG, the GBADs project addresses an urgent need to collect and synthesize the relevant livestock health scattered data and information for stakeholders, including policy makers, so the limited available resources can be allocated appropriately for enhancing global animal health programs. The overall quality of the work in Phase II was recognized by the RG, as being well-structured and containing various components covering a required variety of disciplines to achieve GBADs’ mission and aims.
Although GBADs is progressing well, there are several tasks that should be considered to move the project from concept level to a finalized program that could have significant benefits to the global animal health community. Some of the suggestions in moving forward include, first, addressing the reliability of the required collected data and their resources. This includes expansion of the diversity of the resources of data in relation to geographic granularity to capture critical differences in production types, livestock production systems, climate conditions, and public and private animal health services structure. Second, GBADs should allow for flexibility in the framework to account for differences in data availability, diseases of concern, or regional characteristics while still providing comparable estimates for decision makers, Third, complexities and linkages that may be out of the scope of the project should be recognized. Finally, the cohesiveness of individual efforts should be increased.
With GBADs Phase III on the horizon, the program would benefit from the development of some key impact pathways to illustrate exactly how GBADs plans to achieve its aims. This also relates to the assumptions that underlie these pathways. The development of detailed impact pathways would also allow realistic target indicators to be developed, that can be monitored throughout the course of the program. This will also require a variety of denominators to be assessed for their applicability. Moreover, the success of the GBADs requires the acceptance of both the providers and users of such needed programs to support livestock production, global health, and food sustainability. Therefore, stakeholder communication should be prioritized.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"11:30:00","EndTime":"11:40:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Amy Hagerman","TimeDisplay":"11:30 AM - 11:40 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Validating, institutionalising and driving uptake of GBADs","PresentationBio":"","Title":"Ms.","FirstName":"Edna Massay","LastName":"Kallon","Position":"WOAH Technical Lead - Global Burden of Animal Diseases","Organization":"World Organisation for Animal Health (WOAH)","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/add2514b85984826a77dfbf500246eb2","IsPresentingAuthor":false,"Order":11,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The Global Burden of Animal Diseases (GBADs) established critical success factors within its monitoring and evaluation arrangements that include validation of methods, demonstrating their utility, promoting broad uptake and implementation by partners, and eventual global acceptance. These factors act in synergy since greater uptake of GBADs will expand data sources, ensuring more animal population and production systems are specifically covered, allowing further testing and refinement of methods, and increasing the accuracy of outputs in a virtuous cycle.

Validation is defined as broad acceptance of GBADs methods in the scientific, policy and international development community.

Institutionalisation is defined as: the incorporation of GBADs methodology into a new Chapter or Articles of the World Organisation for Animal Health (WOAH) Terrestrial and Aquatic Codes; embedding the GBADs methodology into WOAH programmes and global initiatives; building the internal capacity of WOAH Members and Partners (including international organisations, development banks, donors, and private sector organisations) and other entities to use the GBADs methodology; and incorporating outputs into the decision-making processes for investments in animal health.

This paper summarises how WOAH and the University of Liverpool plan to lead validation, institutionalisation and uptake of GBADs, addressing activities undertaken during Phase II of the programme (2021-2022), and those planned for the following phase (Phase III, 2023-2027).

Publication of methods and models in the scientific literature is a key element of validation. As well as external peer review managed through the editorial processes of scientific journals, the GBADs programme is designing and implementing expert review mechanisms prior to submission of publications.

WOAH’s commitment to GBADs is clearly stated in the organisation’s strategy. As an international standard setting body, WOAH has developed processes, capability and expert networks that will be used to incorporate GBADs methods and approaches into standards and guidelines. In parallel, WOAH will ensure its programmes contribute to and use data and outputs from GBADs. WOAH’s capacity development programmes, in particular the PVS Pathway and the Training Platform, will develop capacity in Members, Partners (international organisations, development partners, and private sector associations), and the organisation’s network (WOAH Collaborating Centres, Veterinary Education Establishments) to use GBADs methods. WOAHs publications and conferences will promote GBADs and its outputs.

The GBADs programme is developing a stakeholder community that includes partners supporting development of methods (technical and financial support), those providing data through data alliances, and organisations that are intended users of GBADs products. Strategy and plans will guide prioritised and targeted engagement with all these groups during the next phase of the programme.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"11:40:00","EndTime":"11:45:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Edna Massay Kallon","TimeDisplay":"11:40 AM - 11:45 AM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"def6d3d3-1e26-4d9c-996c-b69e0f76f5a8","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"8_Special Session: Global Burden of Animal Disease
Chairs: Jonathan Rushton & Matthew Stone","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-11T10:00:00+00:00","BaseEndDateTime":"2022-08-11T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-11T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T15:00:00.0000000+00:00"},{"Id":"8b036bb3-2ac1-4221-8c9d-188e02713e75","SessionBlockId":null,"Name":"Thursday Lunch Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"12:00:00","EndTime":"13:30:00","StartTimeOverride":"12:00:00","EndTimeOverride":"13:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom B3","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"8b036bb3-2ac1-4221-8c9d-188e02713e75","StartTimeString":"12:00 PM","EndTimeString":"1:30 PM","StartToEndTimeString":"12:00 PM - 1:30 PM","StartToEndTimeSortString":"12:00 PM - 1:30 PM","DisplayDetails":"Thursday Lunch Break │ Exhibits","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"12:00 PM - 1:30 PM","StartTimeOverrideString":"12:00 PM","EndTimeOverrideString":"1:30 PM","StartToEndTimeOverrideString2":"12:00 PM - 1:30 PM","BaseStartDateTime":"2022-08-11T12:00:00+00:00","BaseEndDateTime":"2022-08-11T13:30:00+00:00","BaseStartDateTimeOverride":"2022-08-11T12:00:00+00:00","BaseEndDateTimeOverride":"2022-08-11T13:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T15:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T16:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T15:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T16:30:00.0000000+00:00"},{"Id":"e0791157-2a58-4eff-83c4-05e358114fbc","SessionBlockId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","Name":"Breakout Session 9.E - Epidemiology of avian influenza","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantifying time-dependent predictors for the international spatial spread of Highly Pathogenic Avian Influenza H5NX - focus on trade and surveillance efforts","PresentationBio":null,"Title":"Mrs.","FirstName":"Lina","LastName":"Awada","Position":"Veterinary Epidemiologist","Organization":"OIE","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e5de0a0f673e4312afe3d8506ac87adc","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Since its identification, there has been four waves of intercontinental transmission of the H5Nx Gs/GD lineage virus. This indicates its resistance to attempts at control or prevention. A better understanding of the predictors of HPAI international spread through time will help identify strengths as well as areas for improvement in controlling HPAI.

To do so, we used 16 years of data with high temporal granularity from OIE, UN, IUCN and genetic databases for 2.2., 2.3.2.1c and 2.3.4.4b H5Nx clades. The objective was to determine the impact on international viral spread of: 1) 6 categories of poultry commodities of legal international trade, 2) wild birds’ migration, 3) 5 types of preventive measures implemented by national veterinary services, 4) resources allocated to veterinary services and 5) distance between countries. Phylogeographic inference coupled with GLM with time dependent coefficients was considered the most appropriate method to run this study and was applied to targeted countries with available data. It was completed by a GLMM based on epidemiological, trade and bird migration data only, that was available for all targeted countries.

The main conclusions of this study are: 1) no significant association was found between poultry legally traded and HPAI spread; 2) results suggested a role of migratory birds in disease spread for all clades; 3) results for distance and control at borders suggested a role of informal trade in disease spread for clades 2.3.2.1c and 2.3.4.4b; and 4) results for distance suggested a role of wild birds’ movements (and other human and animal movements) across short distances in disease spread for all clades.

Our findings show the importance of proper implementation of preventive measures, as advocated in the OIE standards. Moreover, they show the complementarity of epidemiological, trade, biological and viral genetic data to trace back international viral spread and understand its predictors.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","6d2507a9-e756-4ab4-ae03-e679e391c7e6","0c901ec5-8189-459e-b859-afcfb8a96f9b","502f57ff-3ea6-475b-858d-340ec3e1c6e4"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Lina Awada","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Wild bird densities and landscape variables predict spatial patterns in HPAI outbreak risk across the Netherlands","PresentationBio":null,"Title":"Prof.","FirstName":"Arjan","LastName":"Stegeman","Position":"Professor","Organization":"Utrecht University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/134a3fb29670492391e08c8b34c3906b","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords : Highly Pathogenic Avian Influenza, wild bird species, poultry, landscape, risk map

Highly pathogenic avian influenza (HPAI) viruses transmission from wild birds to poultry occurs globally and threatens animal and public health. In this study we quantified HPAI outbreak risk in relation to wild bird densities and land cover variables.

Methods
We conducted a case-control study of 16 HPAI outbreaks (i.e. cases) on Dutch poultry farms. We trained machine learning classifiers to predict outbreak risk with predictors analysed at different spatial scales.

Results
Of the 20 best explaining predictors, 17 consisted of densities of water-associated bird species, 2 of birds of prey, and only one variable represented the surrounding landscape, i.e. agricultural cover. Spatial distribution of mallard (Anas platyrhynchos) contributed most to HPAI risk prediction, followed by mute swans (Cygnus olor), common kestrel (Falco tinnunculus) and Brant Goose (Branta bernicla). The model successfully distinguished cases from controls, with an area under the receiver operating characteristic curve of 0.93, indicating accurate prediction of HPAI outbreak risk despite the limited number of cases. Different classification algorithms led to similar predictions, demonstrating robustness of the risk maps.

Conclusions
These analyses and risk maps can help understanding the role of wild bird species and support prioritization of areas for surveillance, biosecurity measures and establishments of new poultry farms to reduce HPAI outbreak risks.

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From October 2021, Italy has been involved in a severe highly pathogenic avian influenza (HPAI) epidemic sustained by a H5N1 virus. As of February 2021, 309 outbreaks in poultry were notified mainly in the north-eastern Regions. Despite enhanced biosecurity and surveillance measures, the epidemic spread unprecedentedly fast, with massive economic impacts. We present a preliminary assessment of the potential reasons leading to such rapid spread, accounting for both epidemiological evidences and phylogenetic support.

Materials and methods
Epidemiological investigations mainly aimed at identifying risk factors and contacts between infected and non-infected farms occurring during a temporal risk window. Investigated contacts included: movements of vehicles/personnel, sharing of equipment, and/or belonging to the same owners. These data where then integrated with genetic information of the complete genome of 298 viruses, and geographical distances between outbreaks, to assess possible scenarios of the epidemic evolution, hence granting insights in the disease dynamics.

Results
Preliminary phylogenetic analyses indicated at least 7 new introductions from wild to domestic birds, while contact-tracing activities showed 37 at-risk contacts related to vehicles/personnel movements, and 65 outbreaks belonging to the same owners. The close proximity of farms in such densely populated poultry areas, and at-risk contacts appear to be the main factors driving the rapid spread of the disease, leading to several secondary outbreaks. The phylogenetic and network analyses based on complete genome pinpointed that other potential unregistered and uncontrolled contacts between outbreaks occurred.

Conclusion
The integration of different analyses permits to monitor the epidemic dynamic, allowing real-time interventions to re-modulate the implementation of control measures. The recent epidemic demonstrates the need to further strengthen the biosecurity measures, considering the limited possibility of reducing the farms density, and plausibly the reassessment of the poultry sector organization to contain the risk of future epidemics.

Keywords: HPAI, Italy, epidemiological investigation, contact tracing","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","502f57ff-3ea6-475b-858d-340ec3e1c6e4","6d2507a9-e756-4ab4-ae03-e679e391c7e6"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Diletta Fornasiero","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Development of a Support Decision System dedicated to the management of Highly Pathogenic Avian Influenza epidemic in Italy.","PresentationBio":null,"Title":"Mr.","FirstName":"Matteo","LastName":"Mazzucato","Position":null,"Organization":"Istituto Zooprofilattico Sperimentale delle Venezie","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9809678964b64e819bb372bc2a83c416","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
From October 2021, North-eastern Italy was involved in a severe H5N1 High Pathogenic Avian Influenza epidemic. In less than three months, more than 300 outbreaks were notified with massive repercussions on the poultry production. The high number of daily cases hampered the capacity to counter the disease spread, prompting for the development of a tool to keep track of the evolving epidemiological situation and control measures applied. Therefore, a Support Decision System was developed, exploiting well-established data interoperability standards, data warehouse framework, and web-based GIS technologies. This led to an integrated system for visualising, querying and analysing data, ultimately allowing the interaction between different operators/experts, such as Epidemiologists, GIS and Data manager, and decision makers.

Materials and methods
A dedicated Data Warehouse (DWH) infrastructure was developed using RDBMS Oracle®11g to harmonise data from different sources (e.g. spatial data, animal registry, production). The available data and epidemiological information were collected and visualised via a set of web applications, developed using HTML5, JavaScript, PHP/Java technologies, on RDBMS PostGreSQL®. All the official documents, on each outbreak and control measures, were stored using a web-based document and activity flows software (ARXivarNEXT).

Results
The developed SDS provides a useful tool to explore data under different perspectives. Information can be visualised both spatially (webGIS) and in non-spatial ways (tables, charts) through dedicated web applications, thanks to the implementation of the DWH, integrating different types of data from multiple databases. In addition,ArxivarNEXT allows to quickly find and retrieve all the formal documents.

Conclusion
The proposed architecture overcomes the weakness of a closely coupled design, enabling dynamic data integration from different providers, allowing interoperability between data and application.The SDS for the management of the HPAI epidemic has proved its helpfulness in decision making, showing the real time progression of the disease spread.

Keywords: SDS, HPAI, Outbreak response","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","502f57ff-3ea6-475b-858d-340ec3e1c6e4"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Matteo Mazzucato","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Investigation of an outbreak of Highly Pathogenic Avian Influenza (HPAI) H5N1 in migratory birds in the Djoudj park, Senegal, 2022.","PresentationBio":null,"Title":"Prof.","FirstName":"Yaghouba","LastName":"Kane","Position":"Regional Epidemiology Training Coordinator, ECTAD WCA","Organization":"FAO","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: In January 2022, high mortality was reported in white Pelicans (Pelecanus onocrotalus) in Djoudj National Bird Park, Senegal. The study aimed were to describe the investigation of an outbreak of Highly Pathogenic Avian Influenza (HPAI) H5N1 in an avifauna park in Senegal. The specific objective is to provide the results and lessons learned from this experience in Senegal.
Materials and methods: The epidemiological investigation consisted in collecting epidemiological, clinical and lesion data, and samples for laboratory analysis. Based on a questionnaire, data were collected like the number of wild birds, warning signs, poultry farms in the environment, possible contacts with sick or dead birds. To manage the outbreak, the materials and equipment required to safely investigate a zoonosis outbreak were used.
Results: The number of diseased birds was 883 and 758 dead, of which 99.5% were juveniles out of a significant number estimated at 11,563 white pelicans in the park and 1,750 individuals on the nesting box. The morbidity rate was 7.6% for the entire park (50.4% on the nest box), the mortality rate 6.5% for the whole park (43.3% on the nest box), and the fatality rate of 86%. The clinical signs and lesions noted are those classically observed during HPAI. The analysis of the samples in the laboratory confirmed the infection with HPAI type A, subtype H5N1. Following confirmation of the HPAI outbreak, the administrative authorities, in accordance with the health policy in force, took measures.
Conclusion: The investigation of an outbreak of HPAI in avifauna and made it possible to respond appropriately to control the spread of the disease in other poultry and in humans. This experience made it possible to apply a multi-sectoral approach for the management of this outbreak at the human-animal-environment interface.
Keywords: HPAI H5N1, Outbreak investigation, Wild birds, Mutisectoral management, Senegal.
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Here we present the results of active AIV surveillance performed during two sampling seasons in 2019 on Easter Island (Rapa Nui). Tracheal and cloacal swabs as well as sera samples were obtained from domestic backyard poultry, while fresh faeces were collected from wild birds. In addition to detecting antibodies against AIV in 46% of the domestic chickens in backyard production systems tested, we isolated a novel low pathogenic H6N1 virus from a chicken. Phylogenetic analysis of all genetic segments revealed that the virus was closely related to AIV’s circulating in South America. Our analysis showed different geographical origins of the genetic segments, with the PA, HA, NA, NP, and MP gene segments coming from central Chile and the PB2, PB1 and NS being closely related to viruses isolated in Argentina. While the route of introduction can only be speculated, our analysis shows the persistence and independent evolution of this strain in the island since its putative introduction between 2015 and 2016. The results of this research are the first evidence of AIV circulation in domestic birds on a Polynesian island and increase our understanding of AIV ecology in region, warranting further surveillance on Rapa Nui and beyond.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","502f57ff-3ea6-475b-858d-340ec3e1c6e4","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"chris_hwest","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"chris_hwest","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://chris_hwest","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://chris_hwest","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Christopher Hamilton-West","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 9.E - Epidemiology of avian influenza","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-11T13:30:00+00:00","BaseEndDateTime":"2022-08-11T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T18:00:00.0000000+00:00"},{"Id":"fd4427d9-f8ef-4590-a58b-25f75a26cfc4","SessionBlockId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","Name":"Breakout Session 9.D - Epidemiologic studies in specific species (Swine)","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using directed acyclic graphs to identify confounders of the relationship between pig roaming and pig cysticercosis (Taenia solium)","PresentationBio":null,"Title":"Dr.","FirstName":"Ellen","LastName":"Jackson","Position":"Phd Student","Organization":"University of Montreal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Taenia solium cysticercosis/taeniasis is a neglected tropical parasitic disease of humans and pigs that causes significant economic losses in endemic areas. Its complex life cycle suggests multiple points for control, such as by confining pigs to reduce their exposure to the parasite. However, this complexity also renders confounders of the relationship between risk factors and infection difficult to identify.
Methods: Multiple databases were searched for studies on the epidemiology of Taenia solium. After screening, 151 studies containing a total of 183 potentially causal associations were included. Two criteria for causality (one requiring a weak threshold, the other strong) were combined with expert opinions to draw “strong” and “weak” directed acyclic graphs (DAGs). These were used to identify confounders of the association between pig roaming and antigen seropositivity in a cross-sectional survey of 2187 pigs in 60 villages in Burkina Faso conducted in 2011-12. This association was analyzed using hierarchical logistic regression to control for clustering of infections within villages with confounding variables chosen by the strong and weak DAGs.
Results: The strong DAG identified no confounders of the association between pig roaming and pig cysticercosis. The weak DAG demonstrated that at minimum four confounders (household density, pig age, season, and socioeconomic status) needed to be adjusted in the analysis. Pig roaming was not associated with pig cysticercosis (OR 0.90, 95%CI 0.74-1.10) in our model with no confounders. Adjusting for possible confounders produced similar results (OR 0.87, 95%CI 0.71-1.07).
Conclusions: Pig roaming is not significantly associated with pig cysticercosis in our models using differing strengths of causality. Our work demonstrates how DAGs can be used to perform sensitivity analyses of epidemiologically-defined confounders. During our presentation, we will discuss using Bayesian methods to correct for misclassification when measuring our outcome. We will also present results using different definitions of pig confinement.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","1431029c-0cdf-4ff9-912e-8fee50ef8438","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ellen Jackson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Non-recoverability and time to cessation of movement in swine using water-based foam for depopulation purposes","PresentationBio":null,"Title":"Mr.","FirstName":"Ting-Yu","LastName":"Cheng","Position":"Postdoc","Organization":"The Ohio State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Most recommended swine depopulation methods from AVMA guidelines are difficult to implement to large populations. Water-based foam (WBF) is a preferred method for poultry, but not recommended for swine. Our objective was to explore medium-expansion WBF as a depopulation method for swine by describing, 1) time to unconsciousness in nursery pigs (trial 1); and 2) time to cessation of movement (COM) in sows (trial 2).
Trial 1: Seventy-two nursery pigs were divided into 12 replicates of 6. Each pig was attached to a color-coded rope corresponding to 6 timepoints in increments of 2.5min up to 15min. Pigs were moved into a 1.46m³ container, submerged by WBF, and sequentially removed and assessed for signs of consciousness including gasping, corneal reflex, and rhythmic breathing. A secondary euthanasia method was applied when necessary. Trial 2: Seventy-five sows were divided into 3 replicates and loaded into a modified rendering trailer and submerged with WBF. In each replicate, 6 sows were fitted with a subcutaneous activity logger (Star-Oddi, Gardabaer, Iceland). COM was defined using an individualized activity threshold based on the upper quartile and the interquartile range (Q3 + 1.5 × IQR). Effects of day, trial, and time of day on COM were investigated using Logrank tests.
Container fill-time was between 3-4sec and approximately 30sec for trials 1 and 2, respectively. For trial 1, gasping and blinking were observed at the 2.5-minute timepoint, and those pigs were immediately euthanized. No signs of consciousness were observed starting at 5 minutes. For trial 2, mean COM was reached at approximately 3.6 minutes post-foaming. Shorter COM time was noted in the morning compared to afternoon (P<0.01).
Based on our results, a minimum of 7.5min dwell time is recommended to ensure non-recoverability. Our work supports the approval of WBF as an option for emergency depopulation in swine.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["cb344d68-5710-46be-a916-dd122f96ab66","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","40011888-980a-402c-868e-27ff2aacbc1b","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Ting-Yu Cheng","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling within-herd dynamics of swine Influenza A virus in pig production systems in Cambodia","PresentationBio":null,"Title":"Mr.","FirstName":"Arata","LastName":"Hidano","Position":null,"Organization":"LSHTM","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eb2f28ee7cdf4ca6925ff410fd387058","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Persistence of swine Influenza A virus (swIAV) in swine herds provides an opportunity for virus evolution including reassortment with IAVs from other species. While often characterized as sporadic, previous studies in developed countries showed swIAV can persist for long periods in commercial farms which implement specific production practices. Nevertheless, the potential of swIAV persistence in swine production systems under resource-limited settings is poorly studied. By developing a stochastic within-herd swIAV model, we aimed to estimate the potential for swIAV persistence in Cambodian swine production systems.

Materials and methods
We conducted a cross-sectional study with 88 commercial farms and 177 smallholders in four provinces of Cambodia, which informed swine demographic parameters and structures. Given the introduction of susceptible animals is the key driver of swIAV persistence, the survey captured the frequency and amount of swine introductions and farrowing events in the previous six months. Smallholders were preliminarily categorized into 11 typologies based on their production practices. A stochastic individual model was developed for each typology and the maximum duration of swIAV infection was quantified using a range of basic reproduction (R0) numbers.

Results
Simulated swIAV persistence was generally longer for commercial farms than that for smallholders. Under R0 = 3 for breeding farms (800 pigs), the median duration of persistence was 62 days for the farrowing unit and 192 days for the breeding unit. A decrease in R0 value shortened the duration in both units, while an increase in R0 extended the persistence in the farrowing unit and shortened for the breeding unit.

Conclusion
Specific combinations of swine management practices may facilitate longer swIAV persistence within herds, posing a concern for the emergence of IAV with pandemic potential. We discuss implications of dynamically changing swine production systems in Southeast Asia for disease emergence and control.
Keyword: Modelling, Influenza, Zoonosis, LMICs


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","5178adf1-eaeb-4d5b-8fce-b18677488f5a","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Arata Hidano","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Sensitivity and specificity of pen-level sampling methods for hepatitis E virus detection in fattening pigs","PresentationBio":null,"Title":"Ms.","FirstName":"Marina","LastName":"Meester","Position":"Phd Candidate","Organization":"Utrecht University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a484ad9c23d342239061933d3ffa1774","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: zoonosis; BLCA; sample types
1.\tObjective: Determine the optimal sampling method for detecting HEV shedding in fattening pigs on pen-level.
2.\tM&M: Four ages of fattening pigs (4, 6, 8, 15 weeks after the start of fattening phase), from one farm, were included in the study. Seven pens per age were sampled by four methods: Rectal swabs (RS) were taken from all individual pigs per pen, and per pen five fresh fecal droppings (FD) were swabbed and pooled, one bootsock (BS) was collected and saliva (S) was collected by chewing ropes. The RS were pooled per pen (P). All pooled samples and individual RS were tested by RT-PCR for HEV. The sensitivity and specificity of pen-level samples were estimated by Bayesian latent class analysis (BLCA) with four tests (FD, BS, S, P) and the four ages as populations.
3.\tResults: Based on RS results 19/28 pens contained at least one HEV shedding pig. Six and 8 weeks old fatteners had a pen-level prevalence between 88-100%. RS of the pigs of 15 weeks fattening (one week before slaughter) were all HEV negative. The sensitivity of the pooled tests was between 94-95% according to BLCA, whereas the specificity differed amongst them. Specificity of P and FD were highest (93 and 86% resp.). The BS and S had a lower specificity of 22% and 71%. Including conditional dependence between P and FD, and BS and FD gave non-significant posterior covariance estimates.
4.\tConclusion: BS and S samples return a lower specificity than pooled fecal droppings, which may be explained by HEV positive old fecal remainders in pens with pigs that have shed before. Fresh fecal droppings sampling for HEV detection in pens with fattening pigs is an animal-friendly and time-saving sampling method with a comparable sensitivity and specificity to individual rectal swabs. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e38fdbff-06ce-4925-a92e-8faaaf3278a6","40011888-980a-402c-868e-27ff2aacbc1b","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","33998207-8c57-4717-9114-ccf9182e92bf","b838af4f-bddf-4b1b-84d6-642a51a831fd"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Marina Meester","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Cohort study evaluating newly weaned piglet behaviour after short or long duration transport ","PresentationBio":null,"Title":"Dr.","FirstName":"Hannah","LastName":"Golightly","Position":"","Organization":"Ontario Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Key words: behaviour, piglet, transport, weaning, welfare

Objective: Compare feeding, drinking, resting, and stress-associated behaviours performed by piglets after short or long commercial transport to evaluate welfare implications of transport duration when combined with common weaning practices.

Materials and methods: Piglets from two farms were selected from groups undergoing weaning (at approximately three weeks of age) and short duration transport on the same day (SD: <3h, n=200, 6.2 ± 0.9 kg), or weaning and long duration transport after one to six days (LD: >30h, n=240, 6.0 ± 1.1 kg). Four transports were followed for each duration. Piglets were unloaded into nursery pens in the same groups as during transport to avoid mixing. Video footage was collected on the day of arrival (T1) and three to four days later (T2), with 5.5 hours of footage each day transcribed using scan sampling at five-minute intervals. The proportion of piglets observed feeding, drinking, lying, and sitting were compared between duration groups using mixed linear regression models.

Results: Piglets that underwent LD transport were observed feeding more than SD piglets at T1 (LD: 24.3%, SD: 5.1%; P<0.05) and T2 (LD: 19.8%, SD: 9.6%; P<0.05). More drinking was observed for LD piglets than SD piglets (T1: LD: 13.6%, SD: 5.6%; P<0.05 and T2: LD:10.2%, SD: 5.7%; P<0.05), and sitting was also elevated in LD piglets at both timepoints (T1: LD:13.8%, SD: 5.4%; P<0.05 and T2: LD: 9.5%, SD: 5.3%; P<0.05). Lying was observed more in pens with SD piglets at T2 only (LD: 61.6%, SD: 87.0%; P<0.05).

Conclusions: Both the long transport duration and previous experience with feed likely contributed to increased feeding and drinking in LD piglets. Further investigation of weaning and transport timelines and interventions to address hunger and thirst may benefit piglet welfare. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Hannah Golightly","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemiological surveillance of influenza A viruses at pig slaughterhouses in Cambodia","PresentationBio":null,"Title":"Mr.","FirstName":"Arata","LastName":"Hidano","Position":null,"Organization":"LSHTM","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eb2f28ee7cdf4ca6925ff410fd387058","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The emergence of Influenza A viruses (IAV) with pandemic potential from pig populations is of public health concern. A rapid transformation in the swine industry, international pig movements, and the presence of multispecies farming in Southeast Asian countries may heighten such risks. The ‘PigFluCam+’ project aims to better understand influenza dynamics at the swine-human interface. Here we present findings from ongoing slaughterhouse surveillance in Cambodia, where IAV circulation in pigs has been poorly characterized.

Materials and methods
Fourteen slaughterhouses were recruited from four provinces in Cambodia, with monthly sampling since May 2020. Using a pre-calculated sample sizes for different pig batch sizes, nasal swab and serum samples were collected from randomly selected pigs from all batches (a group of pigs from the same origin) that were present at the time of each visit. Information regarding pig origin was obtained using structured questionnaires. Nasal swabs were tested by real-time PCR, and positive samples subjected to sequencing and phylogenetic analyses. Logistic regression was conducted to identify factors associated with batch-level positivity.

Results
As of December 2021, 41 (2.1%) out of 1,955 individual pigs, corresponding to 20 (7.2%) of 277 sampled batches, tested PCR-positive for IAV M-gene. Batches from smallholders were less likely to test positive compared to those from commercial farms (Odds ratio: 0.15, 95% CI: 0.02 – 0.81, p = 0.04). Findings from ongoing genetic and serological analyses will also be presented and discussed from a One Health perspective.

Conclusion
Pig sector intensification could have substantial impacts on IAV ecology and evolution in Cambodia. A cross-national and sector-wide approach, including engagement of commercial pig companies, is required to integrate IAV surveillance into routine activities in countries considered a hotspot for IAV circulation. We will share the lessons learnt through our One Health project, and discuss challenges and opportunities. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Arata Hidano","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 9.D - Epidemiologic studies in specific species (Swine)","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-11T13:30:00+00:00","BaseEndDateTime":"2022-08-11T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T18:00:00.0000000+00:00"},{"Id":"2e5cf67a-5559-422f-9a78-2d83d80d539c","SessionBlockId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","Name":"Breakout Session 9.C - Epidemiologic studies in specific species (Dairy and beef cattle)","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Exploring the use of complementary and alternative approaches to health care on UK dairy farms","PresentationBio":null,"Title":"Ms.","FirstName":"Kayleigh","LastName":"Crouch","Position":"PhD Student","Organization":"University of Bristol","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cfeee335b2f2459db1763e8b7c33f97d","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Exploration into the use of complementary and alternative medicine is warranted to 1) determine if CAM use has potential to reduce unnecessary antibiotic use and support the global efforts against antimicrobial resistance and 2) to ensure that antimicrobials and other conventional treatment approaches are used where appropriate.

Interviews were conducted with 24 farmers through face-to-face, telephone and videoconferencing modalities necessitated by movement restrictions during the Covid-19 pandemic. 16 farms were visited to collect observational data using ethnographic fieldnotes and photographs. Interviews were conducted using a topic guide and explored participants’ experience of CAM including drivers/barriers to CAM use, experiences of CAM and how CAM might influence the use of conventional medicines such as antibiotics. Participant observation involved collecting data on conventional and CAM medicine storage, CAM usage and farm management systems. Data were analysed using thematic analysis assisted by NViVo.

Several drivers existed for UK dairy farmers to use CAM approaches, including their own personal [or friends’ and relations’] experiences, the views of influential people and advisors, networks within the farming community and the fact that CAM use allows a greater sense of autonomy in health-based decision making. Farmers also frequently referred to their motivation to reduce antimicrobial use as a drive to explore CAM. Milk buyers, organic guidelines a desire to ‘do something’ for the animal were also highlighted as reasons why farmers use CAM. Farmers associated the use of CAM approaches with other holistic health management practices, human-animal interactions, the actual character of an animal and animal welfare; suggesting that CAM use is seen as part of wider ethos and belief about medicine use.

Encouraging more open discussion surrounding the use of CAM on dairy farms might help to identify ways in which dairy farmers can reduce their antimicrobial use in a responsible way, with veterinary support.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Kayleigh Crouch","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A new epidemiological approach to assess reductions in animal suffering through systematic control of Salmonella Dublin in a cattle sector","PresentationBio":null,"Title":"Prof.","FirstName":"Liza","LastName":"Rosenbaum Nielsen","Position":"Professor in Veterinary Preventive Medicine","Organization":"University of Copenhagen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"To improve decision-making on systematic disease control, a new approach was recently developed allowing for population-based assessment of animal welfare effect of infectious diseases in livestock.

Objective
To assess the impact of Salmonella Dublin on animal welfare in the Danish cattle population by applying the new method on two scenarios - with and without the ongoing comprehensive control programme, which has been in place for almost 20 years. The scenarios correspond to endemic, uncontrolled prevalence of 25% test-positive dairy herds, versus the current prevalence of 10% test-positive dairy herds.

Materials and methods
Four clinical entities for Salmonella Dublin manifestations (peracute, acute and chronic manifestation of infection, and abortion following acute infection) in different age-groups were identified in a literature review. Subsequently, “suffering scores” were based on aggregation of duration, frequency and severity for each clinical entity. Duration and severity were based on literature reviews and expert knowledge elicitation, while frequency was based on estimates from the literature. The suffering scores were summarised at the population level to compare the results for the two scenarios.

Results
The overall suffering score was estimated to 3-6*10^6 per 1 million cattle during a year under the uncontrolled scenario in the Danish cattle population. This was markedly lower than for e.g. bovine virus diarrhoea at 20-65*10^6 per 1 million cattle. With the control programme in place and at a prevalence of 10%, the suffering score was markedly reduced to 1.2-2.4*10^6 per 1 million cattle.

Conclusions
The Danish control programme has clearly reduced animal suffering associated with Salmonella Dublin-infections. Limitations of the approach relate to data availability and uncertainties in expert knowledge. Yet, it provide decision makers with quantitative assessments of the impact of infections on animal welfare and contributes to ongoing work on the burden of animal disease.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","d3066121-1fde-4a88-a77e-f435960ef4f2","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/liza-rosenbaum-nielsen-b4a69a3","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/liza-rosenbaum-nielsen-b4a69a3","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/liza-rosenbaum-nielsen-b4a69a3","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/liza-rosenbaum-nielsen-b4a69a3","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Prof. Liza Rosenbaum Nielsen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling the long-term effects of Claw Horn Disruption Lesions and the impact of early lesion development","PresentationBio":null,"Title":"Mr.","FirstName":"Matthew","LastName":"Thomas","Position":"Phd Student","Organization":"School of Veterinary Medicine and Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Current literature typically only attempts to model the effect of Claw Horn Disruption Lesions (CHDLs) and their risk factors over a relatively short time period. In this study we jointly model the transition from occurrence to recovery with these risk factors over the entire productive life of cows.
Methods
In this study 57,974 cows were selected, and their claw trimming records along with other covariates was used to model the long-term effect of lesions in a cow’s lifetime. A 6-state multistate markov model was used to analyse the progression of the cow through different lesion states (Never had a lesion, first lesion present, first lesion recovered, subsequent lesion present, subsequent lesion recovered, culled). The probability of transition was calculated in addition to hazard ratios for each covariate. This combination of transitions and risk factors allows for the interpretation of the effect size of risk factors and their impact on the lesion transition process.
Results
Key results showed that the timing and severity of the first lesion development was pivotal to future lesion likelihood. Both developing lesions within the first 180 days since first calving and severe first lesions were shown to have an increased risk of developing a future lesion. Our simulations showed that cows with earlier lesions recover in 75% of the time compared to cows with later lesions. Results for long term effects of earlier lesion development revealed a decreased risk compared to those that developed lesions later.
Conclusion
Multistate modelling was useful for jointly modelling the development and resolution of CHDLs over time. Our model revealed an evolving influence of some risk factors affecting a cow’s likelihood to develop a lesion throughout their lifetime. In addition, we have shown the importance of first lesion development and quantified its effect on future lesion incidence and recovery.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","33998207-8c57-4717-9114-ccf9182e92bf"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Matthew Thomas","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The Epidemiology of Hoof-Related Lameness in Western Canadian Feedlot Cattle","PresentationBio":null,"Title":"Miss","FirstName":"Sarah","LastName":"Erickson","Position":"Technical Data Assistant","Organization":"Feedlot Health Management Services By TELUS Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/24ffe39fadd745e7a284621beeddacdf","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective:
To describe the epidemiology of hoof-related lameness (HRL) in western Canadian feedlots, focusing on digital dermatitis (DD), and identify risk factors to inform recommendations on control and prevention.
Materials and Methods:
Retrospective animal health data (N=1,772,565 cattle) from 28 western Canadian feedlots (2014-2018) were accessed through a proprietary database and manipulated and analyzed using commercially available database and statistical software.
Results:
Lameness accounted for 25.73% of all treatments, 71.70% of which were HRL cases. HRL includes infectious bovine pododermatitis (foot rot (FR)); DD; and toe-tip necrosis syndrome (TTNS), accounting for 89.59%, 7.94% and 2.47% of HRL, respectively. HRL prevalence ranged from 1.93% to 3.09% of annual placements. The relative risk (RR) of HRL was higher in cattle from backgrounding (RR=2.17, P<0.0001) and grass-backgrounding (RR=1.84, P<0.0001) sources and lower in ranch-direct (RR=0.68, P<0.0001) sources versus auction-derived cattle. Calves were higher risk (RR=1.13, P=0.0255) than yearlings. Cattle placed in small feedlots (<10,000 head) were higher risk (RR=1.69, P<0.0001) than cattle placed in large (>10,000 head) feedlots. Cattle placed in the first two quarters (Q1/Q2) of the year were higher risk for HRL (RR=1.21, P=0.0018) than placements in the last two quarters (Q3/Q4). The risk of DD was greater in cattle sourced from backgrounding ((RR=2.59, P<0.0001) and grass-backgrounding (RR=2.00, P=0.0098) operations and lower in ranch-direct (RR=0.04, P<0.0001) sources versus auction-derived cattle. The risk of DD was lower in small versus large feedlots (RR=0.243, P=0.0267). Cattle placed in Q1 (RR=1.66, P=0.0265) and Q2/Q3 (RR=2.34, P=0.0001) were higher risk than Q4 placements. The risk of DD was higher in females (RR=2.58, P<0.0001) than males.
Conclusion:
Placement period, procurement source, feedlot size and cattle-specific characteristics are important risk factors concerning HRL and DD. These findings will help inform future research on prevention/control strategies for feedlot HRL.
Keywords: Epidemiology. Digital Dermatitis. Feedlots. Hoof-Related Lameness.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Sarah Erickson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Determination of hyperketonemia in dairy cattle using milk analysis, recurrent neural networks, and ensemble modeling","PresentationBio":null,"Title":"Mr.","FirstName":"Emil","LastName":"Walleser","Position":null,"Organization":"University of Wisconsin","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Dairy, Hyperketonemia, FTIR, ensembles, recurrent neural networks

Objectives:
Identification of hyperketonemia in dairy cattle is an important part of transition cow care. While blood sampling provides accurate measurement for blood beta-hydroxybutyrate (BHB), it requires significant labor resources. Alternatively, milk sample analysis using infrared spectroscopy (FTIR) permits indirect prediction of hyperketonemia. As datasets become larger, higher capacity models such as neural networks become viable options to generate prediction models. Recurrent neural networks (RNNs) used to model sequence data, could also be applied to spectral data that have a distinct ordering. Additionally, the combination of multiple models can improve overall prediction performance. Our objectives were to develop and compare classification models for hyperketonemia using an RNN model, ensembles of multiple models, and contemporary modeling options.

Materials and Methods:
A total of 14,588 blood and milk samples were collected from German dairy cattle between 2015 and 2021. Model input data included FTIR variables, cow information, and measured blood values for BHB. Contemporary models, RNN, and model ensembles were created for the prediction of hyperketonemia. Prediction performance results were quantified using a 5 fold cross-validation process.

Results:
Previous results have demonstrated improved performance of model ensembles over individual models where we have seen an improved performance of ensembling conventional models, over individual model results. Additionally, ensemble models exhibit lower performance variance compared to cross-validation subsets. Here we present the extension of ensemble modeling to include deep learning ensembles and an alternative approach utilizing RNNs.

Conclusion:
Continued research into prediction modeling of hyperketonemia using FTIR-based data improves the accuracy and reliability of milk sample classification. The utilization of model ensembling improves the performance of such models for the benefit of cow wellbeing.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Emil Walleser","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantifying reasons for treatment failure with trypanocides used on cattle in Tanzania ","PresentationBio":null,"Title":"Dr.","FirstName":"Shauna","LastName":"Richards","Position":"","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e117080b455d41779a80755bd8c4f8c1","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To determine the incidence and causes of treatment failure in owned cattle in Tanzania when farmers diagnose trypanosomiasis and treat cattle with trypanocides.

Materials and Methods: A longitudinal one-year observational study was initiated in June 2021, monitoring trypanocide treatment failure in farms close to wildlife protected areas, owning a minimum of 30 cattle >6months of age, residing within Serengeti District, and self-reporting high use of trypanocides, especially isometamidum chloride (ISM). A baseline survey, cattle examinations, and blood sampling were performed at enrolment to evaluate management practices and prevalence of trypanosomiasis. When farmers initiated a treatment with a trypanocide they called the project veterinarian to examine animal(s) and collect blood samples to evaluate for trypanosomiasis, and the farmer’s treatment practices. Follow up blood samples were taken at one week and one-month post-treatments with all trypanocides, and additional samples of two- and three-months post treatment for ISM to assess prophylaxis.

Results: During the first six months of the study, 180 treatments were initiated, with 128 farmers using ISM, 48 using diminazene aceturate, and 16 using homidium chloride. The majority of treatments (63.3%) were administered prophylactically using intramuscular injections to cattle the farmer deemed healthy. In 6.1% of treatments the medication was not administered appropriately (injection technique was inadequate). Under-dosing (according to manufacturer guidelines) occurred in 22.8% of treatments. Farmers used unsterile water, oxytetracycline, and tylosin to dilute trypanocides, and in some instances mixed multiple trypanocides in a single dose.

Conclusion: Early results suggest multi-factorial reasons for treatment failure including incorrect diagnoses by the farmer (use of trypanocide when the animal did not have trypanosomiasis), under-dosing, inappropriate methods of administration, poor quality or counterfeit trypanocides, and trypanocide resistance. The relative importance of different causes of treatment failure is rarely assessed but is essential to inform strategies to improve effective treatment.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","43b008b2-8eab-460a-b708-b149b223981a","0c879798-e821-4cff-bf7e-791d4b78ec7f","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Shauna Richards","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 9.C - Epidemiologic studies in specific species (Dairy and beef cattle)","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-11T13:30:00+00:00","BaseEndDateTime":"2022-08-11T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T18:00:00.0000000+00:00"},{"Id":"73285516-2681-481f-b5a8-7a82b6231c66","SessionBlockId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","Name":"Breakout Session 9.A - ISESSAH","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The role of owners and veterinarians in identifying problems and finding solutions during consultations for older horses ","PresentationBio":null,"Title":"Miss","FirstName":"Rebecca","LastName":"Smith","Position":"","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/31b9e6ce88d240078834d0e5c9b2c470","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
The presentation of horses for veterinary attention in the UK reduces with increasing age; despite the population experiencing high morbidity rates. Lack of veterinary involvement prevents opportunities to support improved equine welfare. This study sought to explore experiences of owners and their veterinarian when managing horses into older age, to identify how management and health care decisions were made and the ways in which caregivers shaped outcomes for a horse.

Materials and methods
Qualitative data included open-access online discussion forum threads focused on older horse care (280 comments) and in-depth interviews with 26 horse owners and nine corresponding veterinarians. Data were collected and analysed using a constructivist grounded theory approach.

Results
Owners sought veterinary advice for routine care and problem-based consultations. For veterinarians, the way in which owners presented the issue of concern framed the consultation. Issues considered to be problematic for a horse were constructed through an interplay between owner and veterinarian. Owners placed emphasis on their veterinarian gaining contextual understanding of their priorities and concerns. This was dependent upon successful communication and impacted on whether problems and solutions identified were considered relevant. Veterinarians emphasised their professional assessment of a horse, however, this assessment was shaped by a veterinarian’s perceptions of socially acceptable care and questions asked by an owner. Solutions were navigated alongside practical factors including; the horse-keeping environment and the provision of companionship. Veterinarian-owner relationships impacted on how owners filtered information, acted upon veterinary advice and subsequently sought assistance.

Conclusion
Practical management of an older horse was shaped by the veterinarian-owner relationship and their construction of appropriate care. As care decisions are not clear cut, the priorities of both owners and veterinarians must be integrated to benefit a horse. This was necessary to create collaborative relationships and increase opportunity for veterinarian involvement in management decisions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","a40f7453-5dfa-4c22-bf36-4e487526f525"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"linkedin.com/in/rebecca-smith-b29a261ab","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"linkedin.com/in/rebecca-smith-b29a261ab","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://linkedin.com/in/rebecca-smith-b29a261ab","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://linkedin.com/in/rebecca-smith-b29a261ab","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Miss Rebecca Smith","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Crowd wisdom of participatory risk mapping for African swine fever","PresentationBio":null,"Title":"Dr.","FirstName":"Hannes","LastName":"Bergmann","Position":"","Organization":"Friedrich-Loeffler-Institut","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: African swine fever [ASF] is an internationally spreading viral pig disease with a massive socio-economic impact. For the identification of regions with a high risk of ASF introduction, we developed a novel participatory mapping system (Participatory risk mapping network for animal diseases, PRMNAD) that exploits efficient heuristic decision-making processes. PRMNAD users with diverse experiences employ differing strategies to reach spatially explicit disease spread predictions. We hypothesised that aggregation of multiple spatial estimates would diminish the role of individual errors.

Materials and methods: During a study that applied PRMNAD to ASF in European wild boar, participating users were asked to evaluate map-based risk information and the current ASF disease status to predict ASF spread, whilst recording the underlying risk factors they considered. Users also provided information about their ASF-related experiences to help understand user prediction strategies. At the end of each risk assessment cycle, individual user predictions were spatially aggregated, followed by congruence-based comparison of aggregate- and individual-predictions against the true disease status that emerged.

Results: We found that spatial aggregates of multiple, individual participatory risk mapping predictions for ASF occurrence outperformed even the best individual estimates in most scenarios. The accuracy of the predicted disease occurrence area increased relative to the size of the targeted prediction area overall, indicating that aggregation of multiple spatial estimates, indeed diminished the role of errors in this unprecedented context.

Conclusion: Our findings extend the statistical phenomenon of crowd wisdom to spatial disease mapping applications, thereby revealing a potent mechanism for improving the accuracy of spatial estimates.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773701.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","3c633f59-5da2-4213-a804-5e21f6f27422","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Hannes Bergmann","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Client views of veterinary empathy are influenced by previous experiences and perceptions","PresentationBio":null,"Title":"Dr.","FirstName":"Lena-Mari","LastName":"Tamminen","Position":"Researcher","Organization":"Swedish University of Agricultural Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Good relations between veterinarian and owner are crucial for compliance and client satisfaction, and showing empathy has been suggested as an important factor for building good relations. However, the level of empathy experienced can depend on many factors, some that the veterinarian cannot control. In this study, the impact of client and veterinary characteristics on how owners perceive the level of empathy showed by the veterinarian is examined.
A survey using SurveyMonkey was shared on social media. After demographic questions followed by questions about earlier experiences from veterinary visits, the respondents were assigned to watch a video of a simulated clinical consultation. The videos showed the same situation with randomly varied combinations of the gender of the veterinarian, Swedish or non-Swedish accent, presentation of the treatment options and way of recommending treatment. After watching, respondents were asked, among other things, whether they saw the veterinarian as empathic.
Of 689 persons that answered the questionnaire, 352 respondents answered the question on the veterinarian’s empathy. A majority of the respondents were women (96%) between 41-65 years old (52%). The association between empathy (yes/no) and the different factors was analysed using logistic regression. Female veterinarians and veterinarians without accent were more likely to be considered empathic and previous positive or neutral experiences from veterinary visits increased the likelihood of viewing the veterinarian favourably (Figure).
The results in this study show that, in the responding group, previous experiences as well as characteristics of the veterinarian affected the perception of the clinical consultation.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e375524acd474f4d9c70099545dff99a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","1431029c-0cdf-4ff9-912e-8fee50ef8438","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Lena-Mari Tamminen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Effects of Foot-and-Mouth Disease on the Brazilian Economy: A Computable General Equilibrium Analysis","PresentationBio":null,"Title":"Dr.","FirstName":"Tais","LastName":"De Menezes","Position":"","Organization":"University of Sao Paulo","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b4499344ce13476fbf80eba204c5f12c","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Foot-and-mouth disease (FMD) outbreaks cause substantial economic impacts as a result of animal slaughter, increased government spending on control, eradication and surveillance measures, and bans on international trade. In this sense, this study employs a computable general equilibrium (CGE) model to answer the following question: What are the economic effects of an FMD outbreak in Brazil?
Two CGE models are used: the GTAP model – for an evaluation of international trade effects – and the TERM-BR model – to assess the impacts of outbreaks on different Brazilian regions. The results from an epidemiological model for FMD in Brazil are used to estimate the potential cattle production loss and the costs of animal slaughter, carcass disposal, emergency vaccination, cleaning and disinfection, and indemnification. FMD-induced productivity losses in tandem with international trade restrictions imposed on livestock and meat sectors are applied as exogenous shocks in the economic models to assess which sectors of the Brazilian economy would be most affected by the initial shocks caused by the outbreaks and the extent of these effects.
The preliminary results of the study show a negative welfare effect between US$219.29 million and US$356.07 million on the Brazilian economy if an FMD outbreak happened, depending on whether or not the principle of regionalization is applied by the international market. The output of the beef and pork sectors would decline in 2.47% and 9.30%, respectively.
This study expands the rich literature on the economics of animal disease by simulating the economic implications of FMD outbreaks in Brazil and highlights the importance of maintaining the health of Brazilian herds, especially when considering Brazil's position as one of the main meat suppliers in the international market. Understanding the impacts of FMD in Brazil is important for formulating disease mitigation policies in the event of an outbreak.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Tais De Menezes","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Stakeholders’ knowledge, attitude and perceptions on the control of Taenia solium in Kamuli and Hoima districts, Uganda","PresentationBio":null,"Title":"Mr.","FirstName":"Nicholas","LastName":"Ngwili","Position":"Post-doctoral Fellow","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/57aead1b73ce4affbe95ac5d3292e45f","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Taenia (T.) solium is a zoonotic parasite causing three diseases: - Taeniasis and cysticercosis in humans and porcine cysticercosis in pigs. Although biomedically, the transmission of the parasite can be easily interrupted at six points along the life cycle, the contextual factors that may influence the adoption of these control strategies in Uganda remain unclear. This study assessed the stakeholders’ knowledge, attitudes and perceptions relating to the six control strategies for T. solium infections in Kamuli and Hoima districts, Uganda.
Materials and Methods: A total of 22 focus group discussions (FGD) were conducted with pig farmers, community leaders, pig/pork traders, animal health assistants and human health assistants. In addition, nine key informant interviews were held with senior officials in the ministries of agriculture and health, and other relevant agencies at the district level.
Results: The results showed differential, limited and fragmented knowledge on T. solium infections among stakeholders. Pig farmers, community leaders and pig/pork traders had almost no knowledge and were often confused regarding the differences existing between T. solium and other gastro-intestinal infections in pigs and humans. Pig confinement, pit latrine construction, coverage, maintenance and sustained use are influenced by cultural, socio-economic, and physical/ environmental factors of study population and area.
Conclusion: Proper sensitization programmes and health education interventions should target all, but with material appropriately focused to suit the different stakeholder’s categories. Reminders or nudges may be needed to ensure that increase in knowledge translates to changes in practice. Intervention programmes should also aim to overcome challenges created by the various contextual factors operating in the specific endemic areas.
Keywords: Taenia solium, Control strategies, knowledge, attitudes, perception.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Nicholas Ngwili","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 9.A - ISESSAH","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-11T13:30:00+00:00","BaseEndDateTime":"2022-08-11T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T18:00:00.0000000+00:00"},{"Id":"3c6a5399-9575-44e3-b9b2-a2a51e8561a1","SessionBlockId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","Name":"9_Special Session Part 1: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":"Foot and mouth disease (FMD) and peste des petits ruminants (PPR) are highly contagious transboundary animal diseases that continue to have severe socio-economic impacts in areas where they remain endemic (Africa, Middle East, Asia). The OIE and the FAO have jointly developed global strategies to control FMD and to control and eradicate PPR. \r\nChallenges for control are diverse and are influenced by the host, the pathogenic agent and the environment in which it is circulating. Modeling approaches are increasingly used to develop and monitor cost-effective control measures. The diverse modeling approaches that are being applied will be explored in this session, including disease transmission, socio-economic and risk assessment models.\r\n

\r\nThe presentations will be followed by a discussion and Q&A","Overview":"Chairs: Melissa McLaws, Bryony Jones, Guillaume Fournié &Theo Knight-Jones","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Global Control of Transboundary Animal Diseases - Successes, Challenges and how Modelling can Help","PresentationBio":"Mr Keith Sumption, Chief Veterinary Officer of the Food and Agriculture Organization of the United Nations (CVO-FAO) , Leader of the Animal Health Programme (NSAH), and Director of the Joint Centre for Zoonoses and antimicrobial resistance (AMR) (CJWZ).

He has worked on disease ecology at the interaction of wildlife, domestic and the environment for more than 30 years, from initial studies on how disease can affect ecosystem balances (for his first degree in Ecology) , through PhD studies on African Swine Fever in wild and domestic hosts in southern Africa, and more than 17 years of management of epizootic diseases (Foot-and-mouth disease, FMD) in the wildlife –domestic interface as Secretary for the European Commission for the Control of Foot-and-Mouth Disease (EuFMD) Commission based in FAO. Since June 2020 he has been CVO for FAO, and since July, the Director of FAO’s Centre for Zoonoses and AMR (CJWZ) , and leader of FAO’s animal health service.

","Title":"Dr.","FirstName":"Keith","LastName":"Sumption","Position":"","Organization":"Food and Agriculture Organization","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a155bbc5142548a9ac464403cba76310","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The increasing demand for animal source foods has made the livestock sector one of the fastest growing sectors, especially in low- and middle-income countries. The livestock sector also contributes to the livelihoods of more than one billion people, with most livestock keepers being small-scale livestock producers, often women, and pastoralists.

Development of the livestock sector is constantly threatened by the burden of endemic, emerging and transboundary diseases, including zoonotic diseases. The continuing threats of foot and mouth disease (FMD), Peste des Petits Ruminants (PPR) and highly pathogenic avian influenza (HPAI), the global spread of African swine fever (ASF), which are the global priority transboundary animal diseases (TADS) under the FAO and OIE Global Framework for Progressive Control of TADS (GF-TADs) are some of the disease concerns challenging national veterinary services. The effects of the COVID-19 pandemic have highlighted the complex economic, social, and environmental determinants of both animal and public health.

As a way of performing ‘experiments’ that cannot be carried out in real life, models can help to better understand these complex systems and mitigate disease risks more effectively. Indeed, increasingly sophisticated epidemiological and economic models have been used extensively in high income countries to prepare for incursions of diseases such as FMD, HPAI and, more recently, ASF through risk assessment and exploring the effectiveness of alternative control strategies. While the use of models for real-time decision support in livestock epidemics has been controversial, models have informed difficult decisions related to the COVID-19 response in some countries, especially regarding critical resource availability scenarios under differing control policies. There is a critical need for further development and application of models as decision support tools for low- and middle-income country settings, to explore and inform policy development in the context of endemicity or imminent threat of the major TADS.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"13:30:00","EndTime":"13:50:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Keith Sumption","TimeDisplay":"1:30 PM - 1:50 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling the heterogeneity of small ruminant populations and the impact on vaccination effectiveness to achieve PPR elimination","PresentationBio":"Beth is a PhD student at the Royal Veterinary College in the UK. Her PhD uses mathematical modelling to study the transmission of Peste des Petits Ruminants Virus (PPRV) in different endemic settings with a view to informing the design of PPR vaccination campaigns.

","Title":"Miss","FirstName":"Beth","LastName":"Savagar","Position":"Phd Student","Organization":"The Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Peste des Petits Ruminants (PPR) is an acute infectious disease affecting small ruminants throughout Africa, Asia and the Middle East, which has been targeted for eradication by 2030. The PPR Global Eradication Programme (PPR GEP) relies on mass vaccination campaigns, aiming for 70% coverage of diverse small ruminant populations.
Here, we investigate the impact of heterogeneity in small ruminant flock transmission potential on the effectiveness of the PPR GEP vaccination programme. The performance of different vaccination strategies in populations with varying degrees of heterogeneity is also explored.
A metapopulation model simulating PPR virus (PPRV) transmission in pastoral small ruminant populations of lowland Ethiopia was developed. The model was fitted to empirical serological data and incorporated heterogeneity in flock transmission potential. Three vaccination strategies were compared: (i) random, (ii) targeted (selection of high-risk flocks) and (iii) convenience (selection of accessible flocks) and, for each strategy, the minimal vaccination coverage to prevent viral circulation was assessed.
At 70% coverage, PPRV was eradicated in >95% simulations using a random or targeted vaccination strategy but remained endemic in 45-77% simulations under convenience vaccination. In heterogeneous populations, where 20% flocks accounted for 80% of transmission, targeting the most infectious flocks required only 15% coverage, compared to the 70% coverage required under random vaccination. The difference between the 3 vaccination strategies, in terms of the minimum vaccination coverage required to eliminate PPRV, increased with increasing population heterogeneity.
This research has implications for optimising PPRV vaccination programmes for different small ruminant populations, highlighting the importance of considering population structure when designing vaccination programmes. Future work should characterise small ruminant flock contact patterns to provide empirical data on the degree of heterogeneity in endemic populations. Further characterising the role of different flocks in PPRV dynamics, accounting for heterogeneity in flock demographics, will facilitate targeting of high-risk flocks.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cc12a156ea7745c0a1421bee9b4928a7","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":"13:50:00","EndTime":"14:10:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Beth Savagar","TimeDisplay":"1:50 PM - 2:10 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Incorporating wild population pathways into a spread model of emergency animal disease","PresentationBio":"Dr Richard Bradhurst is a Senior Research Fellow in the Centre of Excellence for Biosecurity Risk Analysis (CEBRA) at the University of Melbourne, Australia. He specialises in the fusion of multiple modelling approaches (mathematical, agent-based and cellular automata), to simulate the spread and control of emergency animal disease, plant and environmental pests, and human disease.

Richard is the co-creator and principal developer of the AADIS (Australian Animal Disease Spread) model, the EuFMDiS (European Transboundary Animal Disease) model, and the APPDIS (Australian Plant Pest and Disease) model. He collaborates with the Australian Department of Agriculture (Animal Health and Plant Health), Biosecurity Queensland, the Western Australia Department of Primary Industries and Regional Development, Agriculture Victoria, the New Zealand Ministry for Primary Industries, CSIRO, the EuFMD Commission within the Food and Agriculture Organisation of the United Nations, the Center for Epidemiology and Animal Health within the United States Department of Agriculture, the European Food Safety Authority, the Doherty Institute, The Murdoch Children's Research Institute, the Canadian Food Inspection Agency, and the state veterinary services of many European countries.

Previously, he spent over 20 years as a software engineer on large mission/life critical projects in Australia and North America. Projects included SCADA, a submarine combat system, civilian and military automated air traffic control systems, and tactical communication systems for the Canadian, British and United States military.

","Title":"Dr.","FirstName":"Richard","LastName":"Bradhurst","Position":"Senior Research Fellow","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1ab471f23e3f4f1ca6bd33588d97691c","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: FMD, PPR, ASF, BT, AADIS, decision support tools

Objectives:
Decision support tools for emergency animal disease (EAD) generally feature fixed farm locations and network-based livestock movements. It is a challenge to incorporate spread pathways for wild species with uncertain distribution and abundance. Whilst contagious diseases such as foot-and-mouth disease and peste des petits ruminants may spread directly between domestic and wild animals, the spread of vector-borne diseases such as bluetongue and lumpy skin disease relies on the presence of competent vectors. A flexible technique is needed to represent a range of wild species and transmission mechanisms.

Materials and methods:
The Australian Animal Disease Spread Model (AADIS) is an agent-based epidemiological modelling framework used to support EAD planning and preparedness.

Results:
A grid-based wildlife component was developed whereby cells can house wild animals or insect vectors. The distribution and abundance of a species is defined by an external species distribution model or via a built-in habitat suitability model. The short-range diffusive spread of contagious disease within a wild population is informed by spatiotemporal influences on contact rates and transmission. Longer-range anthropogenic spread is modelled by stochastic jump processes. Contagious diseases can spill over between wild and domestic populations via a bi-directional kernel that considers regional and seasonal influences on the likelihood of transmission, and on-farm biosecurity. Short-range diffusion of vector-borne disease depends on host and vector densities and proximity, while longer-range spread can occur via livestock movements and windborne dispersal of vectors.

Conclusion:
AADIS can help assess:
-\tthe risk of EAD spillover,
-\tthe potential for wildlife disease reservoirs,
-\tthe role of infectious wildlife carcasses in transmission,
-\tcost-effective strategies for wildlife surveillance and control,
-\tthe consequences for animal health policy when the distribution of a key wild species changes due to environmental stresses or climate change.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"14:10:00","EndTime":"14:30:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"Drcodehammer","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"Drcodehammer","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=Drcodehammer","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=Drcodehammer","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Richard Bradhurst","TimeDisplay":"2:10 PM - 2:30 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Scenario trees and risk analysis applied to FMD in an endemic setting","PresentationBio":"Julie Adamchick completed her PhD from the University of Minnesota in 2021 with studies that focused on risk analysis, trade, and veterinary interventions related to the control of foot and mouth disease in East African cattle systems. She holds a bachelor’s degree (Animal Science and International Agriculture) and DVM from Cornell University. She believes the relationships between livestock, food, livelihoods, and ecosystems are complex and critical to human and planetary thriving. She grew up in upstate New York on a 120-cow dairy and worked for 3 years as a managing veterinarian on a large commercial dairy farm. She is now working on the Sustainable Protein Systems team at WWF-US. ","Title":"Dr.","FirstName":"Julie","LastName":"Adamchick","Position":null,"Organization":"World Wildlife Fund","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Risk assessment is an essential tool for demonstrating the fitness of one’s goods for the international marketplace and for improving animal health. Our objective was to characterize the probability of FMD infection among cattle at slaughter in Kenya and Uganda.

We partnered with veterinarians from the National Veterinary Services of Kenya (n = 13) and Uganda (n = 10) enrolled in a capacity-building program to systematically collect rich, local knowledge in a format appropriate for formal quantitative analysis. Participants mapped pathways and quantified variables that determine the risk of infection among cattle at slaughter originating from four beef production systems in each country. We translated the conceptual relationships into a stochastic model to estimate the probability that beef cattle reach slaughter while infected with FMD virus.

Findings highlighted that risk processes differ between management systems, disease and sale are not always independent events, and events on the risk pathway are influenced by the actions and motivations of value chain actors. The risk of FMD infection at slaughter was substantially lower for cattle from Kenyan feedlots and ranches compared to the other six systems evaluated. Reduction or elimination of commingling before slaughter was the most effective intervention to reduce risk of infection at slaughter for most systems.

These results give insight into factors that could be leveraged by potential interventions to lower the probability of FMD among beef cattle at slaughter. Such interventions should be evaluated to inform resource investment that is grounded in the values and capacity of each country. The framework of incremental progress with a focus on risk of the final commodity may serve as an alternative to the zoning-based Progressive Control Pathway for FMD because it may facilitate safe trade and access to regional markets and funding, providing a way to benchmark slow and steady forward motion.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"14:30:00","EndTime":"14:50:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Julie Adamchick","TimeDisplay":"2:30 PM - 2:50 PM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"9_Special Session Part 1: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD
Chairs: Melissa McLaws, Bryony Jones, Guillaume Fournié &Theo Knight-Jones","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-11T13:30:00+00:00","BaseEndDateTime":"2022-08-11T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T18:00:00.0000000+00:00"},{"Id":"42d30cc8-6b12-409f-923e-ad120d6ae806","SessionBlockId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","Name":"Breakout Session 9.B - Epidemiologic studies in specific species (Aquatic animals)","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimating the dispersal of Lepeophtheirus salmonis sea lice within and among Atlantic salmon sites using multiple distance estimators","PresentationBio":null,"Title":"Dr.","FirstName":"Marianne","LastName":"Parent","Position":"Phd Candidate","Organization":"Atlantic Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To estimate dispersal distance and impact of infestation pressures on the abundance of the parasitic sea louse, Lepeophtheirus salmonis, in the Bay of Fundy, New Brunswick (NB), Canada, using seaway distance and multiple other distance estimators.
Materials and methods: The Fish-iTrends database for the years 2009-2018 was used to construct a multivariate linear mixed model for abundance of adult female sea lice with site connectivity measured by seaway distance (previously published). The same model was employed for connectivity expressed as surface area of water, topological distance, and underwater seaway distance among sites. External infestation pressures (EIPs) were calculated for each distance measure and a Gaussian kernel density for
bandwidths of 5 to 15 km.
Results: The surface area around pathways at widths 250 m, 500 m, and 1000 m (Figure 1A) improved the model Akaike’s information criterion (AIC) by 5.3 to 6.6 units. Best fitting EIP bandwidths were at 7 km (surface area 1000 m) and 8 km (250 m and 500 m), hence smaller than 10km for the previously published seaway distance results.
Conclusion: The surface area and seaway distance are important characteristics for the dispersal distances of L. salmonis, while depth information did not have a strong influence in the model.
Figure 1. Multiplicative EIP coefficients (with 95% CI) and AIC fits (offset by 3,000) from linear mixed models across kernel bandwidths (5-15 km) for 3 distance measures: A: surface area 1000 m, B: topological distance, C: underwater seaway distance. Red markers represent previously published best fit.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3f62d133d5bb4c9690d8f97611ebd10f","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","32b9e4fa-3def-4467-8cec-52826aa2104d"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Marianne Parent","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Determining antimicrobial use in Canadian commercial marine finfish production through the use of publicly available data","PresentationBio":null,"Title":"Dr.","FirstName":"Kristen","LastName":"Reynolds","Position":"Postdoctoral Fellow","Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: aquaculture, finfish, antimicrobial use, one health, epidemiology

The objective of this investigation was to characterize the use of antimicrobials in Canadian finfish aquaculture over a 3-year period (2016-2018).

Publicly available data on antimicrobial use at the farm level in 4 Canadian provinces (1 on the Pacific coast, 3 on the Atlantic coast) were compiled and analyzed.

Cumulatively within years reported, most frequently used antibiotics were florfenicol (75.1% of treatments, 9,487kg) and oxytetracycline (19.8% of treatments, 36,319kg). Provincially, the Pacific Ocean province had the highest frequency of antibiotic treatments and the largest volume (kg) of florfenicol use. While total kg of oxytetracycline used was similar between the Pacific Ocean province and two of the three Atlantic Ocean provinces, when provincial finfish production data (metric-tonne produced/year) was used to standardize antimicrobial use, the 2 Atlantic Ocean provinces used more oxytetracycline (kg/metric-tonne produced/year) than the Pacific Ocean province. Data on species, size/number of fish treated, treatment dose and duration, treatment purpose, or facility’s geographical location were not reported alongside treatment. Some of these data were available separately, though not for all provinces. What was available was difficult or impossible to match to the reported antimicrobial use data. In addition, differences existed by year in the number of the facilities reporting any antimicrobial use, or for facilities reporting at all. This is likely due to a combination of factors, including the lack of any treatment used at an active facility in a given year, a facility being in a fallow period, or production temporarily or permanently discontinued.

While public reporting of antimicrobials provides transparency and a starting point for assessing antimicrobial use in finfish aquaculture, harmonizing additional data available among all provinces would improve the usefulness of this information to aquaculture researchers and other stakeholders, and provide context to the existing reported data.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kristen Reynolds","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial Resistance in the British Columbia, Canada Finfish Aquaculture Industry (2007-2018)","PresentationBio":null,"Title":"Ms.","FirstName":"Kelsey","LastName":"Robertson","Position":"Project coordinator","Organization":"University of Alberta","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: finfish aquaculture; antimicrobial resistance; surveillance; One Health

Objective: Antimicrobial resistance (AMR) is a global One Health issue with severe consequences for humans, animals, and the environment. The rise of global aquaculture coupled with the use of antimicrobials to control diseases has raised concerns about the development, transmission, and consequences of AMR in finfish aquaculture. The objective of this study was to analyze AMR trends in bacterial species isolated from the British Columbia (BC), Canada finfish aquaculture industry.

Methods: The BC Ministry of Agriculture, Food and Fisheries’ Animal Health Centre provided anonymized data for bacterial isolates from farmed finfish species from 2007-2018. Data included antimicrobial susceptibilities for florfenicol, oxytetracycline, sulfa-trimethoprim, and triple sulfa: sulphamerazine, sulphathiazole, and sulphadiazine, representing the antimicrobials approved for use in finfish in Canada. Annual AMR was analyzed by bacteria for each farmed finfish species.

Results: Antimicrobial susceptibility data were analyzed for 1,237 unique finfish isolates from Atlantic salmon (1,042), Pacific salmon (95), and Rainbow trout (71). Susceptibilities for Atlantic salmon isolates are shown in Figure 1. Results will be presented by bacterial genera, species, fish species, and year, with a focus on Aeromonas salmonicida, Vibrio anguillarum, Yersinia ruckeri, and other species with >30 isolates.

Conclusion: Resistance to antimicrobials important for the finfish industry in BC remained relatively low over the study period. Continued monitoring and reporting of AMR within the finfish aquaculture industry is critically important to inform One Health approaches for antimicrobial stewardship.


Figure 1: Annual antimicrobial susceptibilities of bacterial isolates from Atlantic salmon (2007-2018).
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/457712ef6bcd4a0ca0ed3d31fdf0fb0a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","8fc4d524-a96c-44ab-af7e-21be4a6db35f","32b9e4fa-3def-4467-8cec-52826aa2104d","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Kelsey Robertson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Comparison of Antimicrobial Use in the British Columbia, Canada Finfish Aquaculture Industry to Global Salmonid Producers (2004-2018)","PresentationBio":null,"Title":"Dr.","FirstName":"Simon","LastName":"Otto","Position":"Associate Professor","Organization":"University of Alberta","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ac83e32bdf134bc0b487cbc76dfeb5d2","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: finfish aquaculture, antimicrobial use; surveillance; One Health

Objective: Surveillance of antimicrobial use (AMU) is pivotal to understanding antimicrobial resistance (AMR) as a global One Health issue for humans, animals, and the environment. The objective of this study was to analyze AMU trends in the British Columbia (BC), Canada finfish aquaculture industry and compare them to the top global salmonid producers.

Methods: The BC Ministry of Agriculture, Food and Fisheries provided anonymized annual prescription data (2004-2018) including the total finfish AMU (mg) compared to data from government reports for Norway, the United Kingdom (UK), and Chile. Annual finfish slaughter weights were obtained for each region to represent the total kg Population Correction Unit (PCUslaughter) to estimate biomass. The annual biomass-adjusted AMU (mg/PCUslaughter) was calculated for each region and compared using variance-weighted linear regression. Annual regional trends were assessed using ordinary linear regression.

Results: Overall biomass-adjusted AMU in Chile > BC > UK > Norway, with different annual trends within each region (p<0.01) (Figure 1).

Conclusion: The mg/PCUslaughter indicator provides a meaningful way to standardize and compare AMU from regions with different population sizes. Biomass-adjusted AMU was highest in Chile, but annual regional trends differed significantly over the time period, suggesting different disease pressures in each region. Surveillance of AMU is important to integrate with AMR data to understand selection pressure and to evaluate the impact of future antimicrobial stewardship programs and interventions.

Figure 1: Predicted annual biomass-adjusted AMU (mg/PCUslaughter), note variable scales – UK was modelled as indicators (not shown).","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9ee5b09694bc4b92b39f37c35a7063df","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","43f42602-f380-4a8a-9da3-ce05b383dc09","32b9e4fa-3def-4467-8cec-52826aa2104d"],"SocialMedia":{"_twitterHandle":"SimonOttoDVM","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"SimonOttoDVM","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=SimonOttoDVM","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=SimonOttoDVM","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Simon Otto","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Twenty-year trends in antimicrobial resistance from aquaculture and fisheries in Asia","PresentationBio":null,"Title":"Dr.","FirstName":"Daniel","LastName":"Schar","Position":"","Organization":"Universite Libre De Bruxelles","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives:

Antimicrobial resistance (AMR) is a growing threat to human and animal health. However, in aquatic animals—the fastest growing food animal sector globally—AMR trends are seldom documented, particularly in Asia, which contributes two-thirds of global food fish production. We reviewed current evidence on AMR in farmed and wild-caught aquatic food animals over two decades in Asia.

Materials and methods:

We conducted a systematic review and meta-analysis of 749 point prevalence surveys reporting antibiotic-resistant bacteria from aquatic food animals in Asia, extracted from 343 articles published in 2000–2019 and yielding 12,698 individual pathogen-drug resistance rates. We map AMR at 10-kilometers resolution in freshwater and marine environments.

Results:

In aquaculture, the percentage of antimicrobial compounds per survey with resistance exceeding 50% (P50) plateaued at 33% [95% confidence interval (CI) 28 to 37%] between 2000 and 2018. In fisheries, P50 decreased from 52% [95% CI 39 to 65%] to 22% [95% CI 14 to 30%]. Resistance hotspots were identified along Asia’s major river systems and coastal waters of China and India. Regions benefitting most from future surveillance efforts are eastern China and India.

Conclusion:

We find concerning levels of resistance to medically important antimicrobials in foodborne pathogens. Elevated multi-drug resistance is already present in farmed aquatic animals intended for human consumption. Our findings provide an initial assessment of the geographic distribution of resistance hotspots from aquatic animals entering the human food supply in the world’s most productive aquaculture and fisheries region. Scaling up surveillance to strengthen epidemiological evidence on AMR and inform aquaculture and fisheries interventions is needed to mitigate the impact of AMR globally.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4efd4362d9dd4743a9c135e26cc33024","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","d12154ed-5a96-4eee-9b2d-d5985b20d3db","0c879798-e821-4cff-bf7e-791d4b78ec7f","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","df5d618c-3702-4d9c-95b6-0ad39c8b6184","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","32b9e4fa-3def-4467-8cec-52826aa2104d","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Daniel Schar","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial susceptibility patterns of bacteria commonly isolated from farmed salmonids in Atlantic Canada (2000-2021)","PresentationBio":null,"Title":"Mr.","FirstName":"Rasaq","LastName":"Ojasanya","Position":null,"Organization":"Atlantic Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d9a0cdc7d6f44d8fa499c9565451534a","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Bacterial infection and antimicrobial resistance are important constraints in the production and sustainability of farmed salmonids. There are, however, limited scientific reports on the evaluation of antimicrobial resistance in salmonids.

Objective: This retrospective study aimed to describe the frequency of bacterial isolates and antimicrobial resistance patterns in salmonid aquaculture in Atlantic Canada.

Materials and methods: Bacterial isolates and antimicrobial susceptibility testing (AST) results assessed by disk diffusion testing were summarized for 18,776 Atlantic salmon (Salmo salar) and rainbow trout (Oncorhynchus mykiss) samples from 2,291 unique cases submitted to the Atlantic Veterinary College, Aquatic Diagnostic Services Bacteriology Laboratory from 2000 to 2021.

Results: Kidney was the most commonly submitted tissue (60.0%, n=11,320), and these specimens were mostly submitted as swabs (63.7%, n=11,957). The most prevalent pathogens detected in these cases were Yersinia ruckeri type 1 (5.5%, n=127), Renibacterium salmoninarum (2.1%, n=48), Aeromonas salmonicida (atypical) (1.7%, n=38), and Pseudomonas fluorescens (1.2%, n=28). None of the bacterial isolates with susceptibility test results (n=918) showed resistance to enrofloxacin. Aeromonas salmonicida (atypical) was highly resistant (>90%) to oxytetracycline and ampicillin. In contrast, Aeromonas salmonicida (typical) was highly susceptible (>90%) to ampicillin. None of the bacteria tested showed an increasing resistance trend for any of the tested antimicrobials over the study period.

Conclusion: This report provides baseline data for antimicrobial surveillance programs that investigate emerging antimicrobial resistance trends in salmonid aquaculture.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","32b9e4fa-3def-4467-8cec-52826aa2104d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Rasaq Ojasanya","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"aab637c6-fef5-459a-8ab8-0fd32562d02b","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 9.B - Epidemiologic studies in specific species (Aquatic animals)","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-11T13:30:00+00:00","BaseEndDateTime":"2022-08-11T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-11T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T18:00:00.0000000+00:00"},{"Id":"fc1c6142-3c79-4f6b-8b35-a7f1f4e7229b","SessionBlockId":null,"Name":"Thursday PM Bio Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"15:00:00","EndTime":"15:30:00","StartTimeOverride":"15:00:00","EndTimeOverride":"15:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom Salon","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"fc1c6142-3c79-4f6b-8b35-a7f1f4e7229b","StartTimeString":"3:00 PM","EndTimeString":"3:30 PM","StartToEndTimeString":"3:00 PM - 3:30 PM","StartToEndTimeSortString":"3:00 PM - 3:30 PM","DisplayDetails":"Thursday PM Bio Break │ Exhibits","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"3:00 PM - 3:30 PM","StartTimeOverrideString":"3:00 PM","EndTimeOverrideString":"3:30 PM","StartToEndTimeOverrideString2":"3:00 PM - 3:30 PM","BaseStartDateTime":"2022-08-11T15:00:00+00:00","BaseEndDateTime":"2022-08-11T15:30:00+00:00","BaseStartDateTimeOverride":"2022-08-11T15:00:00+00:00","BaseEndDateTimeOverride":"2022-08-11T15:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T18:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T18:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T18:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T18:30:00.0000000+00:00"},{"Id":"8d6829cb-095c-4f27-b3b4-1bc11dc02a01","SessionBlockId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","Name":"Breakout Session 10.C - Epidemiologic studies in specific species (Dairy and beef cattle)","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A randomised control trial to evaluate the effectiveness of a commercial vaccine for pinkeye in Australian beef cattle","PresentationBio":null,"Title":"Mr.","FirstName":"Mac","LastName":"Kneipp","Position":"Phd Candidate","Organization":"The University of Sydney","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0c751bddaf8841578c88f1a1eb432696","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective

To examine the effectiveness of the only commercial pinkeye vaccine available in Australia for prevention of naturally occurring disease.

Materials and methods

Randomised control field trial was conducted in southwest Queensland on extensively run beef cattle herds that regularly experienced pinkeye. In each herd animals were allocated to vaccinated and control groups in different proportions. The subsequent incidence of clinical pinkeye between the two groups was compared for calves less than one year old. Univariable and multivariable binary logistic mixed-effect models were fitted to account for clustered data and potential residual confounding due to sex, weight, breed, coat colour and periocular pigmentation.

Results

Data were analysed from 649 cattle from five herds over two pinkeye seasons: three herds of 390 calves from 1st November 2019 to 20th January 2020, and two herds of 259 calves from 23rd September 2020 to 21st April 2021. Pinkeye was common with 24 % of all calves (156/649) contracting the disease during the trial. The incidence of pinkeye was not significantly different between vaccinated (101/423, 24 %) and control (55/226, 24 %) groups, both alone (p = 0.67, OR = 1.09, 95 % CI = 0.73 – 1.62) and after adjusting for sex and weight differences (p = 0.69, OR = 1.08, 95 % CI = 0.73 – 1.62).

Conclusion

This is the first field trial of effectiveness of this Moraxella bovis bacterin for the prevention of naturally occurring disease. The vaccine was not protective against naturally occurring pinkeye under field conditions.

Keywords

pinkeye1, infectious bovine keratoconjunctivitis2, vaccine3, Piliguard4, cattle5.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["21c6493c-d758-4b04-ada0-31630a7d6827","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","512e7a65-c837-49ce-8f06-827e25887293","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Mac Kneipp","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantifying Phenotypic AMR in samples","PresentationBio":null,"Title":"Mr.","FirstName":"Giles","LastName":"Innocent","Position":null,"Organization":"Biomathematics and Statistics Scotland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives. In order to monitor AMR it is essential to be able to measure it. We have developed a novel method, which we refer to as Quantitative Estimation of Population AMR (QEPA) by which we believe we can obtain an accurate measure of the amount of AMR present in a sample of bacteria. We wished to demonstrate that that we could successfully recover the proportion of AMR bacteria in prepared samples, that we could demonstrate its use in field samples and that we could measure differences in the proportion of bacteria demonstrating AMR in these samples.

2. Materials and methods. We prepared samples using quantified proportions of bacterial clones known to be either susceptible or resistant to an antimicrobial. In addition we collected samples from calves that had previously been treated with a known antimicrobial. Laboratory analysis consisted of paired plating on selective medium both with and without the antimicrobial of interest. Results were analysed in a Bayesian framework which allows us to account for complex sampling structures.

3. Results. We successfully recovered estimates of the proportion of bacteria demonstrating AMR in the prepared samples. We also observed differences in the proportion of bacteria demonstrating AMR between samples from the same individual over time, and between individuals at the same time. Furthermore, we were able to show differences in the between-animal variation in different groups. As a by-product of the analysis approach we can also estimate the total bacterial count in the sample.

4. Conclusions. We believe that QEPA represents a useful addition to the arsenal of techniques appropriate to the monitoring of AMR. It is relatively cheap, requires no specialised equipment, but provides an information-rich result that can be used to analyse differences in the level of AMR.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Giles Innocent","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluating the potential of third generation metagenomic sequencing for the detection of BRD pathogens and genetic determinants of resistance in chronically ill feedlot cattle","PresentationBio":null,"Title":"Ms.","FirstName":"Jennifer","LastName":"Abi Younes","Position":"PhD Student","Organization":"Western College Of Veterinary Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Traditional bacterial culture and antimicrobial susceptibility testing (AST) has a turnaround time of several days, limiting its benefit to therapeutic decisions for management of bovine respiratory disease (BRD). Nanopore metagenomic sequencing can potentially identify pathogen biomarkers and antimicrobial resistance genes in a shorter time frame. This study’s objective is to compare the diagnostic performance of nanopore metagenomic sequencing to culture and sensitivity methods as applied to nasopharyngeal samples from chronically ill commercial feedlot cattle.
Materials and Methods: Two pens of steers with chronic, unresponsive BRD and/or lameness (n=25) from a commercial feedlot in Saskatchewan were sampled via deep nasopharyngeal swabs. The swabs were placed into Amies transport medium, vortexed, and the liquid separated into two aliquots. One aliquot was submitted for culture of common bacterial BRD pathogens followed by AST. The second aliquot underwent Oxford Nanopore-based metagenomic sequencing and bioinformatic analysis. The results of culture and sensitivity were compared to metagenomic sequencing.
Results: BRD pathogens were isolated from most samples and a variety of resistance profiles were observed across isolates. The sequencing data indicated the samples were dominated by Moraxella bovoculi, Mannheimia haemolytica, Mycoplasma dispar, and Pasteurella multocida, and included a wide range of antimicrobial resistance genes (ARGs). Metagenomic sequencing detected BRD pathogens of interest more often than did culture, but there was limited concordance between phenotypic resistance to antimicrobials and the presence of relevant ARGs.
Conclusions: Metagenomic sequencing can reduce turnaround time from sampling to results, detect pathogens missed by bacterial culture, and identify genetically encoded determinants of resistance. Increasing target sequencing coverage will be an essential component of improving the reliability of this technology, such that it can be better used for the surveillance of pathogens and genetic determinants of resistance, and to inform diagnostic decisions.
Keywords: bovine respiratory disease, antimicrobial resistance, metagenomics, Oxford Nanopore Technology","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","8fc4d524-a96c-44ab-af7e-21be4a6db35f","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","df5d618c-3702-4d9c-95b6-0ad39c8b6184","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Jennifer Abi Younes","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Factors Associated with Antimicrobial-Resistant Enterococci in the Canadian Beef Production System: Exploring Integrated Assessment Modelling in a One-Health Context","PresentationBio":null,"Title":"Miss","FirstName":"Kayla","LastName":"Strong","Position":"PhD Candidate","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/13bf135614694ba981712457f1a952b6","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: One Health, Beef Cattle, Antimicrobial Resistance, Integrated Assessment Model

Objective: Authors aimed to evaluate an integrated assessment model (IAM) for interpretation of factors associated with antimicrobial-resistant (AMR) enterococci in the Canadian beef production system. This is a pan-Canada research initiative in partnership with iAM.AMR.

Materials and methods: Authors extended an existing scoping review to identify factors for model inclusion. The review focused on four predominant \"stages\" in Canadian beef production: cow-calf operations, feedlots, abattoirs, and retail. Relevant information required for modelling was entered into the standardized iAM.AMR database. For each intervention, data were collected to determine the odds ratio (OR) of AMR between exposed versus control samples. Additional study design characteristics were also extracted. The IAM was built using Analytica (Lumina Decision Systems), based on the iAM.AMR base model and adapted to beef production. At each stage of production, weighted factors were based on the OR and anticipated frequency, creating an adjusted baseline for the next stage. The model outcome was a relative probability of AMR in retail beef.

Results: Preliminary results identified nine factors for model inclusion; they were limited to cow-calf and feedlot stages, with none identified in the abattoir or retail environment. Factors were placed at the stage of exposure, which did not always align with sampling. Based on comparisons of interventions, there was a minimal increase in resistance associated with select antimicrobial use. Some reported factors were contradictory and did not always represent the hierarchical structure of the data.

Conclusions: The IAM was an effective tool for examining potential factors and identifying potential gaps. Limitations included lack of restriction by quality of evidence and inconsistent hierarchical presentation of data. Outcomes should be interpreted based on magnitude and directionality, not units at risk. The IAM is considered a useful tool in a broader AMR resource toolbox. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","0c879798-e821-4cff-bf7e-791d4b78ec7f","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Kayla Strong","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 10.C - Epidemiologic studies in specific species (Dairy and beef cattle)","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-11T15:30:00+00:00","BaseEndDateTime":"2022-08-11T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-11T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T19:30:00.0000000+00:00"},{"Id":"3d5c5931-1ee5-4c35-b571-341c8da69512","SessionBlockId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","Name":"Breakout Session 10.D - Risk assessment","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Combining census data and qualitative workshops to map the risk of Taenia solium in three northern provinces of Lao PDR","PresentationBio":null,"Title":"Dr.","FirstName":"Andrew","LastName":"Larkins","Position":"Phd Candidate | Research Assistant","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords:
One Health, risk analysis, Taenia solium, cysticercosis, neglected tropical diseases

Objective:
The objective of this study was to trial different methodologies to identify high-risk areas for T. solium in three provinces in northern Laos to inform national planning and provide a sampling frame for upcoming One Health interventions.

Materials and methods:
The first approach examined national census data using multi-criteria decision analysis to map the risk of T. solium at district and village levels. The second approach involved qualitative workshops with government stakeholders. Agreement between the two methods was assessed using the kappa statistic, with the agreed results providing the sampling frame for interventions. Results will be validated by biological sampling conducted in late-2022.

Results:
Census analysis classified 27% of districts and 38% of villages in the target provinces as high risk. District risk ratings from the first two of three provincial workshops were consistent with census results in 16/20 districts and 141/191 villages. These ratings resulted in a kappa statistic of 0.60 (95% CI: 0.13-0.89) at the district level and 0.48 (95% CI: 0.34-0.60) at the village level. This suggests there is moderate agreement between the methods at this stage. Results from the remaining workshop and further analysis are expected by mid-2022.

Conclusion:
This study demonstrates that the application of simple, rapid, and accessible techniques may provide decision-makers with sufficient information to identify high-risk areas for T. solium. This work allows for organisations to begin assessing the feasibility of potential control programmes and select initial target areas without the immediate need for large prevalence surveys based on biological sampling. This combination of census data and provincial workshops is unique and has not been applied in other attempts to map the risk of T. solium.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","1431029c-0cdf-4ff9-912e-8fee50ef8438","e38fdbff-06ce-4925-a92e-8faaaf3278a6","8fc4d524-a96c-44ab-af7e-21be4a6db35f","02f86f29-9eae-4d8d-b937-84e31f38e74d","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Andrew Larkins","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk associated with mosquito-virus dyads endemic or expected to become endemic in Canada over the next 50 years: A scoping review","PresentationBio":null,"Title":"Dr.","FirstName":"Philippe","LastName":"Berthiaume","Position":"Epidemiologist","Organization":"Public Health Agency Of Canada","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"
Objectives:
This scoping review describes important aspects of mosquito vector capacity for viruses endemic or expected to become endemic in Canada and which could pose vector-borne diseases risks for public health.

Materials and Methods :
The research question and scoping review (ScR) protocol were defined a priori according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A stringent scientific literature search algorithm was developed and used on three databases (MEDLINE, Embase and Global Health) to capture relevant scientific articles followed by comprehensive search verification. Search keywords included elements of vector capacity for a specific set of mosquito-virus dyads, including vector competence, aggressiveness, abundance and feeding preferences. Mosquito species endemic in Canada, and two newly established species Aedes aegypti and Ae. albopictus, were included. The following viruses were included: Eastern Equine, Western Equine, St. Louis, West Nile, Cache Valley and California serogroup (including Jamestown Canyon, Snowshoe Hare, Californian encephalitis and La Crosse). The search for literature was performed on literature published until October 2021. A two-steps deduplication process was conducted including a first round within The Systematic Review Assistant-Deduplication Module (SRA-DM) followed by a final step of deduplication within DistillerSR.
Results: A total of 22 000 unique scientific articles were identified after deduplication. Descriptive results from abstract data analyses on mosquitoes and viruses present in geographical areas, presence timeline, and key vector capacity elements will be presented. Results will highlight existing gaps and well documented knowledge areas.
Conclusion: Our results will provide researchers and policymakers with key information to support the development of guidelines for the prevention and mitigation of mosquito-borne diseases endemic or expected to become endemic in Canada. Among other things, the complete database of relevant articles will allow building risk assessment tools for mosquito-borne diseases in Canada.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913","43b008b2-8eab-460a-b708-b149b223981a","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Philippe Berthiaume","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The minority report: Foreknowledge of the risk of bovine tuberculosis persistence in an endemic region","PresentationBio":null,"Title":"Ms.","FirstName":"Pilar","LastName":"Pozo","Position":"Postdoctoral researcher","Organization":"VISAVET-UCM","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6b713d2f1d114e2686ddba5d85d2a489","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Bovine tuberculosis (bTB) persistence, in terms of chronic and recurrent infection, remains a major challenge for disease eradication in endemic regions worldwide. Beforehand identification of infected herds that will be difficult to manage due to recurrence/persistence of disease could help to develop optimized strategies to minimize the risk of disease spread to other susceptible animals/herds. Here, we characterized herd- and bTB breakdown-level risk factors associated with bTB persistence and recurrence in positive herds located in Castilla y Leon, a high prevalence region of Spain.
Demographic information, cattle movements, and data from bTB breakdowns occurring in up to 3,936 herds during 2010-2020 were analyzed. Time to recover officially TB free status and time to recurrence, and the probability of becoming a chronic/recurrent herd were evaluated using two approaches, Cox proportional hazards and multivariable logistic regression models.
Location (province), increasing herd size (>134 animals), and high number of incoming contacts/animals in the previous three years were good predictors of both chronic and recurrent infection among infected herds. The severity of bTB breakdowns, in terms of higher number of in vivo (≥5) and postmortem (≥3) bTB positive animals in the disclosing test, increased breakdown duration, which, in turn, increased the probability of bTB recurrence. Herds located in counties with 0.2-1% prevalence and tested at increased intervals (>124 days) were at higher risk of prolonged bTB breakdowns compared to those tested within 2 months after the disclosing test.
Early on application of risk-based policies, intensive surveillance and awareness over herds with epidemiological features identified here may help to foresee bTB persistence in herds more prone to suffer recurrent and prolonged bTB breakdowns. Results obtained here may help to prioritize efforts and targeted control measures which can be extensible to regions that face similar bTB challenges.

bovine tuberculosis, chronic breakdowns, recurrence, risk factors, eradication programs.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","3c19c60b-bf2c-4701-b93e-3b18208e3913","512e7a65-c837-49ce-8f06-827e25887293","df5d618c-3702-4d9c-95b6-0ad39c8b6184","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Pilar Pozo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"CaribVET RiskSwine Tool: Development and Dissemination of a tool to assess risk of swine diseases in the Caribbean","PresentationBio":null,"Title":"Mr.","FirstName":"Eric","LastName":"Etter","Position":"Veterinarian Epidemiologist","Organization":"CIRAD/CaribVET","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e2e0455eb4264e15b595dc6def98b038","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Frequent alerts due to emerging transboundary swine diseases (TSD) prompted the development of a swine disease qualitative risk assessment tool (RiskSwine Tool) by the Caribbean Animal and Veterinary Public Health Network (CaribVET). The objective was to make available this tool to guide Veterinary Services in the conduct of their own in-country risk assessments addressing TSD introduction and dissemination at national level and applicable at the regional level.

The tool was developed as a conceptual framework for qualitative risk assessment consisting of three components: 1) the dissemination (entry) of a swine disease pathogen from an affected country; 2) the diffusion of the pathogen and the exposure of the susceptible swine population and 3) The magnitude and consequences of this risk. The tool was applied to the swine diseases considered as priorities in the Caribbean region: Classical swine fever (CSF), Teschovirus encephalomyelitis, Porcine epidemic diarrhoea (PED) and African swine fever (ASF). Each component is scored based on pre-defined criteria, established by an expert group with reference to these diseases.

The RiskSwine Tool has been progressively updated and recently upgraded in response to the re-emergence of ASF in the Caribbean (Hispaniola) mid-2021. The 2021 version of the tool is a user- friendly Excel Spreadsheet in English, Spanish and French that includes guidelines for users to answer the questions required to assess the risk. This tool was disseminated thanks to webinars organised since September 2021 by the interagency emergency response group led by GF-TADs for the Americas with the active participation of CaribVET.

Following the deployment of the tool in the veterinary services of the region we will organise a user feedback for monitoring and evaluation of the tool and we plan to develop a user friendly interface for online use.
All authors are linked to CaribVET association,Petit Bourg, Guadeloupe, FRANCE
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Eric Etter","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 10.D - Risk assessment","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-11T15:30:00+00:00","BaseEndDateTime":"2022-08-11T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-11T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T19:30:00.0000000+00:00"},{"Id":"859eae04-48bf-4b3e-8529-38a8d2df6691","SessionBlockId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","Name":"Breakout Session 10.B - Epidemiologic studies in specific species (Horses)","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Associations between turn out practices and musculoskeletal disease and injury in Thoroughbred foals and yearlings","PresentationBio":null,"Title":"Dr.","FirstName":"Rebecca","LastName":"Mouncey","Position":"Phd Student","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4b7bbe09842e4dcebd4349b662d6d37b","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Early-life locomotor activity during turn out may alter susceptibility to musculoskeletal disease and injury via modulation of tissue development during growth.
Objectives: Investigate associations between turn out practices and rates of musculoskeletal disease and injury in young Thoroughbreds on UK stud farms.
Methods: Daily records were kept on location and duration of turn out for 134 Thoroughbred foals on six stud farms, from birth until leaving the farm or study exit. Data on veterinary-attended episodes of musculoskeletal disease or injury were collated concurrently. Average daily turn out times (hours) and areas (acres) were calculated for rolling 7- and 30-day periods of foal age. Multivariable Cox regression, including farm as a random effect, was used to investigate associations between turn out practices and musculoskeletal disease and injury.
Results: The incidence of musculoskeletal disease or injury was 5.3 cases/100 foal-months at risk (95% confidence interval (CI) 4.2-6.6). Compared to 24/7 turn out, average daily turn out times of between 9 and 23 hours over a 7-day period were associated with a 4.6-fold increase in musculoskeletal injury rate (95%CI 1.7-12.3; P<0.001), adjusting for farm and area. For each 1 acre increase in the average daily turn out area during the 4th month of life, rates of musculoskeletal disease and injury between 6 and 18 months of age reduced by 30% (hazard ratio 0.70, 95%CI 0.58-0.96; P<0.001), adjusting for farm and time. No interactions between turn out time and area were identified.
Non-random sample of participants may affect generalisability of findings. Use of veterinary-attended events likely underestimates disease/injury rates.
Conclusions: Results suggest that disruptions or alterations to turn out time routines increase injury risk and should be avoided where possible. Turn out in larger paddocks, particularly prior to weaning, may confer protection against subsequent musculoskeletal disease and injury.
Disease; Equine; Exercise; Injury; Musculoskeletal


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a40f7453-5dfa-4c22-bf36-4e487526f525","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Rebecca Mouncey","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Eco-epidemiology of equine piroplasmosis in French draft horses in an area of high pathogen circulation","PresentationBio":null,"Title":"Ms.","FirstName":"Clémence","LastName":"Nadal","Position":"","Organization":"Anses","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: For vector-borne diseases, an ‘eco-epidemiological’ approach is essential to better understand the relationships between the pathogen, the hosts, the vectors and the environment, as well as to allow the determination of risk factors with limited bias, and therefore develop appropriate measures of surveillance, prevention or control. Thus, our objective was to study the eco-epidemiology of Babesia caballi and Theileria equi infections responsible for equine piroplasmosis in French draft horses, and for which very few multivariate studies were conducted up to now.

Materials and methods: From April to May 2021, we collected blood samples and ticks from 146 draft horses randomly selected from 38 farms, located in four departments in the Center and South-East of France. Studied areas were chosen due to a high circulation of B. caballi and T. equi, a high density of draft horses, and heterogeneous environmental conditions. Pathogen detection was performed by PCR on both collected ticks and blood samples, the latter also being tested for the presence of antibodies against each parasite by ELISA tests. Data related to environment (altitude, vegetation type, and climate), breeding practices (vaccination status, parasite control…), and individual horse characteristics (breed, age, sex) were collected. Risk factors were determined through generalized linear models.

Results: 14.4% and 50.7% of horses had a positive PCR result and 58.9% and 37.2% were seropositive against B. caballi and T. equi, respectively. Nine hundred and nine ticks were collected on the 146 horses, with a median of 1 (range 0-151) tick per horse. Analyses of risk factors related to individual and environmental parameters, breeding practices, tick infestation and infection are under analysis.

Conclusion: The identification of potentially relevant risk factors will provide both recommendations for limiting infections in horses and the implementation of targeted methods against equine piroplasmosis infections.

Keywords: eco-epidemiology, equine piroplasmosis, tick, risk factors
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a40f7453-5dfa-4c22-bf36-4e487526f525","43b008b2-8eab-460a-b708-b149b223981a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Clémence Nadal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Factors associated with foaling rates in a national Norwegian horse breed","PresentationBio":null,"Title":"Dr.","FirstName":"Ingrid","LastName":"Holmøy","Position":"Researcher","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: fertility, natural covering

Decreasing population sizes and risk of inbreeding is a challenge in all the national Norwegian horse breeds. The number of covered mares has decreased markedly the past decades, and foaling rates are suboptimal. Our aim was to identify and quantify factors associated with foaling rate in one of the breeds, the Dole horse.

A retrospective cohort study was performed utilizing registry data from the Norwegian Horse Association which includes all horses of national Norwegian breeds. Dole horses bred in the period from 1990 to 2020 were included in the study population. Breeding results were dichotomized into a live-born foal or not (non-pregnant, aborted, embryonic death and stillborn). Records with unknown paternity or when the mare died before foaling were excluded from analysis. A multilevel logistic regression model was built (with year and stallion random effects).

The study population consisted of 9,541 covers in 2,578 mares. Of these, 9,464 covers fulfilled the inclusion criteria. In total, 256 stallions contributed with between 1 and 208 covers. A live foal was born in 3,807 of the 9,464 of the covers (60%). In stallions with >9 covers, foaling rate varied between 20% and 92%. Preliminary results from the multilevel regression model showed that mares aged 3-8 and 9-12 years were more likely to have a live-born foal compared to mares aged 13-18 years, OR (95% CI) 2.34 (2.06-2.64) and 1.50 (1.30-1.72), respectively. Compared to mares with foal at foot, barren mares and open mares were less likely to have a live-born foal: OR 0.55 (0.48-0.61) and 0.56 (0.50-0.62), respectively. Estimated OR at the median and 90th percentile of the expected foals inbreeding degree was 1.31 and 1.37, respectively.

Foaling rates in Dole mares were associated with mare age and reproductive status, and the inbreeding degree of the expected foal.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","df5d618c-3702-4d9c-95b6-0ad39c8b6184","a40f7453-5dfa-4c22-bf36-4e487526f525"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ingrid Holmøy","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Geographical Distribution, Population Dynamics, Biomass and Economic Value of Equids in Ethiopia","PresentationBio":null,"Title":"Mr.","FirstName":"Girma Birhan","LastName":"Asteraye","Position":"Phd Student","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/db87c35483c54b2487c4a025dc43059a","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Abstract
Objective: Assess population dynamics, distribution, biomass, and economic value of equids in Ethiopia. This will form the basis disease burden estimates with the Global Burden of Animal Diseases (GBADs) project.
Materials and methods: Equine population data were obtained from the Ethiopian Central Statistics Agency and FAOSTAT from 2004 to 2020. Expert opinion and a systematic literature review were used to estimate the asset value of equids, using parameters such as the number of working days, daily rental values, and market value. Descriptive statistics were used to assess population dynamics and GIS techniques were used to map the geographical distribution.
Results: In the past seventeen years, the total Ethiopian equid population increased by 131% from 5.7 to 13.3million with 2.1million horses, 10.7million donkeys, and 3.8thousand mules. Equine populations are unevenly distributed across Ethiopia, although data were lacking in some regions of the country. The per human-capita equine population ranged from 0-0.52, 0-0.129, and 0-0.0196 for donkeys, horses, and mules, respectively. The equid biomass was >7.3 million TLU (250 kg liveweight), 10% of the total livestock biomass of the country. The asset value of equids was USD1,336.7million, accounting for 3.1% of total livestock economic value, and the gross equid services value was USD657.4million, which is 0.66% of Ethiopian 2021 expected GDP.
Conclusion: The Ethiopian equid population has grown steadily over the last two decades. Equids play a central role in transportation and subsistence agriculture in Ethiopia and contribute significantly to the national economy. This pivotal role is insufficiently recognized in national livestock investments.

Keywords: Biomass; Distribution; Economic value; Equine population; and Ethiopia.
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Objective
Mastitis is a production disease in dairy farming that causes economic losses. Especially chronic mastitis can have substantial effects on the risk of transmission of mastitis. With current sensor technology, we are able to intervene in chronic mastitis. However, chronic mastitis costs were not estimated before to our knowledge. To guide sensor-based chronic mastitis decision-making, insights into the impact of chronic mastitis on farm economics is needed. Our aim was to estimate the costs of chronic mastitis.

Materials and methods
We developed a Monte Carlo simulation model in which the costs of chronic mastitis were estimated as part of the total mastitis costs. The model simulated milk yields, IMI dynamics, somatic cell count, and pregnancy status on a typical Dutch farm with 100 cow places over 7 years. The model was parameterized using information from literature as well as from collected sensor data. The daily subclinical mastitis related milk production losses were modelled using a generalized additive model. Clinical mastitis related milk loss, transmission of IMI and farmer measures were also modelled.

Results
The median total cost of mastitis was €208 per generic mastitis case, while the median total cost due to chronic mastitis was €104 per case. The share of chronic mastitis relative to the total mastitis costs was substantial and approximately 50%. The costs of chronic mastitis were mainly caused by the transmission of ongoing cases, culling and milk production losses.

Conclusion
The high share of chronic mastitis costs in the total costs of mastitis underlines the importance to monitor, manage and prevent chronic mastitis to reduce overall costs related to mastitis in a herd. As current developments in the application of sensors enable better identification of chronic mastitis, management regarding chronic mastitis should get more attention.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. John Bonestroo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimating the Global Economic Impact of Infectious Bovine Keratoconjunctivitis","PresentationBio":null,"Title":"Mr.","FirstName":"Elliott","LastName":"Dennis","Position":"Assistant Professor","Organization":"University of Nebraska","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Estimating the Global Economic Impact of Infectious Bovine Keratoconjunctivitis

Objective
Infectious bovine keratoconjunctivitis (IBK), commonly known as pinkeye, is the most important ocular disease of cattle worldwide, but specific data on its impact on cattle industry output are lacking. The objective of this paper is to model global impact of IBK by considering known disease risk factors of cattle age, breed, and geographical climate in an economic framework.

Methods and Data
We develop a generalized disease impact model that captures losses in output, inputs, treatment, and prevention over time and space. Country by year impacts are aggregated by cattle breed and age within different geographic climates and regions as defined by World Bank then used to make inferences about the IBK disease burden. We then show how these impacts change under hypothetical climate change scenarios.

Results
Estimated total economic costs for Bos indicus breeds are $0.43 [0.42, 0.43] per cow and $9.88 [9.85, 9.91] per calf, and for Bos taurus $2.19 [2.19, 2.20] cows and $25.79 [25.71, 25.88] per calf. Losses in output and treatment costs captured approximately 90% of total costs for Bos indicus and Bos taurus cows. Output and prevention losses account for approximately 70% of total losses. Total costs per annum are $1041M [1036, 1046] in subtropical climates, $573 M [570, 576] in tropical climates, and $1154 M [1147, 1160] in other climates. The total global cost of IBK is estimated to be approximately $2800 M per annum.

Conclusions
This is the first estimate of the global cost incurred by the cattle industry due to IBK. It indicates the disease has a substantial negative impact on productivity. These results highlight the importance of knowing the biological and epidemiological drivers of the disease to enable full capture of all economic costs associated with IBK.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","26b4b891-ec44-4aba-abc6-e9254d87df53","0bb275db-dbe0-42d7-abe1-4ccfc61191ed","d3066121-1fde-4a88-a77e-f435960ef4f2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Elliott Dennis","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The economic burden due to endemic diseases among dairy cattle in high-income countries","PresentationBio":null,"Title":"Mr.","FirstName":"Philip","LastName":"Rasmussen","Position":null,"Organization":"University of Zurich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: As part of the Global Burden of Animal Diseases (GBADs) programme, this study aimed to (1) estimate economic losses attributable to endemic diseases among dairy cattle in high-income countries and (2) explore how the relative significance of this burden depends on country-specific economic characteristics and the measure of losses used.

Materials and methods: 13 diseases and conditions were modelled, from mastitis to paratuberculosis, in 42 high-income dairy-producing countries. The impacts of these diseases and conditions on key production characteristics (yield, fertility, and mortality) were first adjusted for comorbidities using prevalence estimates, inter-disease association estimates from the literature, and Bayes’ Theorem. The comorbidity-adjusted aggregate impact of the array of endemic diseases was then used to estimate the gaps between the country-specific mean values of these key production characteristics and their potential disease-free values using 50,000 iteration Monte Carlo simulations. Finally, these gaps were valued, attributed to the individual diseases and conditions being modelled, and compared across regions using a range of economic measures.

Results: Preliminary results suggest an annual burden across all regions of US$24 billion, with a 90% confidence interval of US$20 billion to US$28 billion. Lameness accounted for 25% of that burden, followed by mastitis (15%), and neosporosis (12%). Annual losses were greatest in the United States (US$6 billion), but other regions were relatively more burdened depending on the measure used. For example, when measured as a percentage of farm-gate revenue, the greatest burdens were in Qatar and Uruguay, and when measured per animal, the greatest burdens were in Saudi Arabia and Japan.

Conclusion: Endemic diseases and health conditions among dairy cattle in high-income countries result in a significant economic burden, with the relative significance of this burden varying according to the economic characteristics of the impacted country and the measure used.

Keywords: GBADs, economic, burden, disease, dairy
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","d3066121-1fde-4a88-a77e-f435960ef4f2","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Philip Rasmussen","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The monetary costs and disease burden attributable to brucellosis in a pastoralist community of northern Tanzania","PresentationBio":null,"Title":"Mr.","FirstName":"Ângelo","LastName":"Mendes","Position":"","Organization":"University of Glasgow","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/27d2345eb8d3470686a62f2587fb99a0","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
This study aimed to estimate the monetary costs and disease burden attributable to livestock and human brucellosis in the Ngorongoro Conservation Area (NCA), Tanzania.

Materials and methods
Searches of the literature were conducted to gather data on prevalence, production impacts and management of livestock and human brucellosis in the NCA. Additional epidemiological and economic data were obtained from surveys delivered by the University of Glasgow, the World Bank and the International Livestock Research Institute.
A stochastic, herd-growth model was used to estimate annual monetary losses (production potential not realised) attributable to brucellosis in cattle, sheep and goats, per infected animal and per 10,000 animals of each species.
A Markov model was used to estimate the personal monetary cost (productivity loss and out-of-pocket expenditure) and disease burden (disability-adjusted life years, DALYs) attributable to human brucellosis, per infected person and per 10,000 person-years.

Results
The median [lower (Q1) - upper quartiles (Q3)] annual losses attributable to brucellosis in cattle, sheep and goats were 76.6 [52.1-106.0], 9.6 [6.8-13.2] and 10.8 [7.7-14.8] international dollars (int. $), respectively, per infected animal. The median [Q1-Q3] annual losses attributable to brucellosis per 10,000 cattle, sheep and goats each were 48.3 [32.8-66.8], 3.2 [2.2-4.4] and 5.5 [3.9-7.5] thousand int. $, respectively.
The median [Q1-Q3] cost of human brucellosis was 551.7 [244.2-1,077.0] int. $ per infected person and 22.8 [10.1-44.6] thousand int. $ per 10,000 person-years. The median [Q1-Q3] disease burden attributable to human brucellosis was 0.6 [0.5-0.7] DALYs per infected person and 23.9 [18.0-31.5] DALYs per 10,000 person-years.

Conclusion
Brucellosis causes considerable impacts in a pastoralist community of northern Tanzania. These results can be used to guide policy development for brucellosis control. The methods applied in this study may be helpful to quantify the impacts of this and other zoonoses in similar settings.

Keywords
Brucellosis, Tanzania, impact.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","1431029c-0cdf-4ff9-912e-8fee50ef8438","d3066121-1fde-4a88-a77e-f435960ef4f2","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Ângelo Mendes","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 10.A - ISESSAH","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-11T15:30:00+00:00","BaseEndDateTime":"2022-08-11T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-11T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T19:30:00.0000000+00:00"},{"Id":"a8f4fbc4-425c-4b83-86dc-c07e4ef90ba5","SessionBlockId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","Name":"10_Special Session Part 2: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":"Foot and mouth disease (FMD) and peste des petits ruminants (PPR) are highly contagious transboundary animal diseases that continue to have severe socio-economic impacts in areas where they remain endemic (Africa, Middle East, Asia). The OIE and the FAO have jointly developed global strategies to control FMD and to control and eradicate PPR. \r\nChallenges for control are diverse and are influenced by the host, the pathogenic agent and the environment in which it is circulating. Modeling approaches are increasingly used to develop and monitor cost-effective control measures. The diverse modeling approaches that are being applied will be explored in this session, including disease transmission, socio-economic and risk assessment models.

\r\n\r\n16:10 - 16:30 Panel discussion and Q&A with all special session presenters","Overview":"Chairs: Melissa McLaws, Bryony Jones, Guillaume Fournié &Theo Knight-Jones","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The role of participatory systems modeling in animal health impact assessments: methods and applications","PresentationBio":"Dr. Karl M. Rich is Director of the Master of International Agriculture Program (MIAP) in the Ferguson College of Agriculture and a Professor of Agricultural Economics at Oklahoma State University. While trained as an agricultural economist, Dr. Rich’s research has cut across disciplinary boundaries, integrating agricultural and livestock policy analysis, global agribusiness issues, animal and aquatic health, and methods development. He has successfully worked with veterinarians, epidemiologists, animal scientists, and crop experts on a variety of applied research topics around the world, providing contextual guidance on socio-economic drivers of behavior and uptake and empirical evidence of benefits and tradeoffs across economic, social, and environmental dimensions. Most recently, he has pioneered the use of specialized participatory tools to develop systems models and impact assessments with stakeholders to help them co-conceptualize problems and co-create solutions. These tools have been applied in the context of urban agriculture planning in New Zealand; socio-economic drivers of animal disease in Zambia, Timor-Leste, Thailand, Vietnam, and Senegal; nutritionally-sensitive marketing channels for horticulture in South Asia; livestock value chain development in Nicaragua, Myanmar, and Ghana; and climate-smart agriculture in Senegal.

Dr. Rich joined OSU in July 2021 after 16 years of working overseas. Dr. Rich has traveled to 87 countries, with applied research and/or teaching experience in over 30 of these countries and long-term residence in nine. He was most recently at the International Livestock Research Institute’s (ILRI) West Africa Regional Office in Dakar, Senegal. At ILRI, Dr. Rich led a multidisciplinary team conducting applied research that informed livestock sector strategy and investment options in the developing world. He led a Bill and Melinda Gates Foundation project to develop improved tools for livestock sector planning, as well as an impact assessment of the 2019 African Swine Fever outbreak in Vietnam and a project on livestock trade corridors in West Africa. He was also part of a multidisciplinary team that advised the Government of Uruguay on whether to stop vaccination against foot-and-mouth disease in 2019. Previous to his work at ILRI, Dr. Rich worked in the Master of International Rural Development program at Lincoln University in New Zealand; the Norwegian Institute of International Affairs in Oslo; the Department of Economics at the American University of Cairo; the South Asia Office of the International Food Policy Research Institute in New Delhi, India; and the U.S. International Trade Commission in Washington, D.C. He also has served as an advisor to the CGIAR Covid-19 Hub; a World Health Organization panel on neglected tropical diseases; and the Scottish Government’s Centre for Excellence on Animal Health (EPIC). In the past ten years, he has raised over $20 million in external grants in collaboration with multidisciplinary research teams. He has over 70 peer-reviewed articles in a variety of high-impact journals that span the areas of agricultural economics, agribusiness, systems modeling, veterinary science, and environmental management.

Dr. Rich holds graduate degrees (M.S. and Ph.D.) in agricultural economics from the University of Illinois at Urbana-Champaign and a bachelors (A.B.) degree in economics from the University of California, Berkeley.

","Title":"Mr.","FirstName":"Karl","LastName":"Rich","Position":"Director/professor","Organization":"Oklahoma State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Animal diseases, their control, and prospective intervention options take place within a systems context, mediated by a range of epidemiological, biophysical, environmental, economic, and social factors. The successful control and management of animal diseases requires both a holistic strategy that incorporates these multifaceted dimensions and mechanisms that incentivize stakeholders to participate and work together towards achieving sustainable solutions.

Participatory systems modeling is one approach to achieve these joint aims. By integrating the collective knowledge and experience of stakeholders across a range of activities within the animal health system, practitioners and facilitators can capture a broader array of information (especially in data-scarce environments) and build common ground towards collective intervention options that have buy-in from stakeholders and improve decision making.

In this presentation, the process of building such models with stakeholders is detailed, highlighting its applicability in a variety of contexts and environments. Examples of its use in African Swine Fever, PPR, and East Coast Fever will be provided, as will guidance on future developments and applications in different settings. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"15:30:00","EndTime":"15:50:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Karl Rich","TimeDisplay":"3:30 PM - 3:50 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantifying FMDV dispersal along ecological and anthropogenic gradients using phylodynamic models","PresentationBio":"My research aims to understand the dynamics of pathogen spread through animal populations, focusing on quantifying underlying drivers and overarching consequences of host and pathogen heterogeneity for disease transmission. By applying quantitative tools to elucidate and predict disease dynamics, the ultimate outcome of this research aims to facilitate data-informed decision making, enhance disease preparedness, and optimize surveillance and control measures.

","Title":"Mrs.","FirstName":"Kimberly","LastName":"Vanderwaal","Position":"Associate Professor","Organization":"University of Minnesota","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"With increasing availability of sequence data from transboundary diseases, there is a growing need for tools to harness such data to test epidemiological hypotheses about disease spread in endemic settings. Here, we describe a modeling approach that quantifies how landscape factors influence where foot-and-mouth disease virus (FMDV) is likely to disperse on relatively fine spatial and temporal scales, as the ability to predict directionality of spread may help guide the application of interventions in the face of an outbreak. Using FMDV serotype O sequences recently collected from cattle across Uganda, we estimated FMDV spatial diffusion dynamics using a continuous phylogeographic model. Next, we investigated the impact of underlying landscape gradients (both ecological and anthropogenic) on viral dispersal using a resource gradient regression. Briefly, this novel approach conceptualizes branches in geo-referenced trees as movement vectors with an origin and destination. Landscape factors measured at the origin are compared to conditions at the observed destination relative to alterative destinations that the virus could have reached under the same space-time constraints. This allows us to quantify the tendency of the virus to disperse along landscape gradients. We found that mean dispersal velocity was 195 km/year (95%HPD = 128-858). Our analyses also found that FMDV circulation in Uganda tends to be maintained near livestock markets and in areas of high densities of humans and cattle. FMDV disperses outwards from areas near livestock markets, areas with high cattle density, and areas with infrequent droughts towards areas farther from markets, with lower cattle densities, and frequent droughts. Understanding how landscapes gradients determine the direction of viral dispersal allows disease response plans to better anticipate viral movement and more strategically tailor interventions. More generally, combining phylodynamic modeling with environmental data opens new lines of questions about the ecology of transboundary disease spread in endemic settings.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"15:50:00","EndTime":"16:10:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Kimberly Vanderwaal","TimeDisplay":"3:50 PM - 4:10 PM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"10_Special Session Part 2: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD
Chairs: Melissa McLaws, Bryony Jones, Guillaume Fournié &Theo Knight-Jones","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-11T15:30:00+00:00","BaseEndDateTime":"2022-08-11T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-11T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T19:30:00.0000000+00:00"},{"Id":"5f5568b1-ed47-4f9f-ab4d-db8ff06078ec","SessionBlockId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","Name":"Breakout Session 10.E - Epidemiology of vector-borne diseases","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Self-reported tick exposure as an alternative measure of Lyme disease risk.","PresentationBio":null,"Title":"Ms.","FirstName":"Natasha","LastName":"Bowser","Position":"PhD student","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Lyme disease (LD) and other tick-borne diseases are emerging across Canada. Spatial and temporal LD risk is typically estimated using acarological surveillance and reported human cases data, the former not considering human behavior leading to tick exposure and the latter occurring after infection.

The primary objective of this study compared, at the census subdivision level (CSD), the association between reported LD cases and i. self-reported tick exposure, ii. alternative risk indicators (predicted tick density, eTick data, and public health risk level), and iii. ecological variables (Ixodes scapularis habitat suitability index and cumulative degree days). A secondary objective explored which risk indicators and ecological variables were associated with self-reported tick exposure at the CSD level.

Self-reported tick exposure was measured in a cross-sectional populational health survey conducted in 2018, among 10,790 respondents living in 116 CSDs of the Estrie region, Quebec. The numbers of reported LD cases per CSD in 2018 were obtained from the public health department. Generalised linear mixed models accounting for spatial auto-correlation were built to fulfil the objectives.

Self-reported tick exposure ranged from 0.0% to 61.5% (median 8.9%) and reported LD incidence ranged from 0 to 324 cases per 100,000 people, per CSD. Self-reported tick exposure was weakly but significantly associated with LD cases (ß=0.08, standard error = 0.02, p<0.0001). Public health risk level, predicted tick density, habitat suitability index and cumulative degree days demonstrated higher strengths of association. Only predicted tick density and habitat suitability index were significantly associated with self-reported tick exposure.

This is the first study exploring self-reported tick exposure as an indicator of LD at the local level using populational survey data. Using such data may offer a low-cost and simple tool for LD risk evaluation, provides supplementary information about human-tick contact, and merits further evaluation.

Keywords: Lyme disease, surveillance, tick encounters","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","df5d618c-3702-4d9c-95b6-0ad39c8b6184","43b008b2-8eab-460a-b708-b149b223981a","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Natasha Bowser","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Species richness and the encroachment of the invasive cattle tick, Rhipicephalus microplus (Acari: Ixodidae) on camps grazed by sheep in the Eastern Cape, South Africa","PresentationBio":null,"Title":"Prof.","FirstName":"Nkululeko","LastName":"Nyangiwe","Position":"Professor","Organization":"Rural Development and Agrarian Reform and University of South Africa","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a8f581b6ff9e4efb8f273e7da8d412b6","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The invasive cattle tick, Rhipicephalus microplus, was introduced into South Africa towards the end of the nineteenth century. The objective of this study was to establish the seasonal abundance of questing tick larvae on Amathole Montane Grassland camp grazed by sheep. Ticks questing for hosts were collected monthly for a period of 3 years by dragging flannel strips attached to a wooden spar over the vegetation. At each occasion six replicate drag-samples were made in camps grazed by sheep. Of the questing ticks (n=14,891) collected from the vegetation, the most abundant larvae were those of Rhipicephalus microplus (93.61%) followed by R. appendiculatus (4.71%), R. decoloratus (0.99%), R. evertsi evertsi (0.56%), R. simus (0.09) and Amblyomma hebraeum (0.04%). The R. microplus larvae were significantly higher (P < 0.05) in 2015 (2.11±0.108), 2016 (2.02±0.076) and 2017 (1.94±0.075) during spring than any season. No significant differences (P ˃ 0.05) from R. appendiculatus questing ticks collected in autumn (0.27±0.007; 0.30±0.052) and spring (0.33±0.007; 0.20±0.052) for 2015 and 2016 respectively. The study showed that the cattle tick, R. microplus is adapting very well on other host species, in this case sheep and encroaching to areas that were too cold for its adaptation. Subsequently, R. microplus is displacing the native tick, R. decoloratus from the vegetation and this is the first record reported in South Africa. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43b008b2-8eab-460a-b708-b149b223981a","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Nkululeko Nyangiwe","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Amplification conditions of West Nile virus transmission in eastern Ontario using a cellular automata approach ","PresentationBio":null,"Title":"Mr.","FirstName":"Baki","LastName":"Cisse","Position":null,"Organization":"Public Health Agency of Canada","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/41904fe0598a440698acdd62e1444f57","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The main objective of this work was to analyze the interactions between the zoonotic West Nile virus (WNV) hosts (American robin (AMRO) and humans) and its vector Culex pipiens-restuans (CPR) to ascertain: (a) the impact of the arrival of infectious robins in the study region during the spring season, and (b) the effect of CPR’s shifting feeding preferences (from robins to humans) on local WNV transmission in eastern Ontario, Canada.
We divided our study region in into 2*2 km rectangular cells and developed a spatialized compartmental model called SEIRDS-SEI that uses a cellular automata (CA) approach. We used 2010-2019 AMRO data from the citizen science project eBirds and the 2010-2021 CPR data from provincial surveillance of mosquito-borne diseases in Ontario for model calibration. We divided robin and human populations into five groups (Susceptible-Exposed-Infected-Recovered-Dead) and CRP into three groups (Susceptible-Exposed-Infected). We simulated 3 sets of scenarios where we modified length, number of infectious birds arriving in spring, and the progressive shift in CPR blood-meal preferences. We then characterized the resulting epidemics in bird, mosquito, and human populations in time and space. All of the simulations and the model sensitivity analysis were performed with MATLAB R2021b software.
Preliminary results showed that the shift in feeding behavior had a stronger impact of WNV transmission in humans than in birds. Additionally, the herd immunity in birds induced by recurrent infection year after year has only limited impact on epidemic burden compared to the number of infected birds arriving in the region. We plan to refine these observations and compare our simulations to the historically observed infection rate in CPR populations.
This research will provide policymakers with key information to better understand and prevent risk associated with WNV transmission in Canada and provide valuable support for research-oriented policies on mosquito-borne diseases in Canada.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","5178adf1-eaeb-4d5b-8fce-b18677488f5a","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","43b008b2-8eab-460a-b708-b149b223981a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Baki Cisse","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk factors associated with Bartonella spp. transmission in cats and their owners ","PresentationBio":null,"Title":"Ms.","FirstName":"Paulina","LastName":"Sepulveda","Position":"Risk Factors Associated With Bartonella Spp. Transmission In Cats And Their Owners","Organization":"Universidad Austral","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The aim of the present study was to assess the risk factors associated with the Bartonella spp. infection and exposure in domestic cats and their owners in Valdivia, Chile. A convenience sampling of 337 humans and 463 cats were performed, of which were obtained samples of 134 cats with their respective owners (n=150) distributed in 84 households.
Bartonella spp. exposure in humans and infection in cats was assessed by IFA and qPCR techniques, respectively.
A seroprevalence of 4.7% was estimated in the human population, while all human samples were negative by qPCR. Conversely, a Bartonella spp. cats infection of 17.1% was estimated.
The potential risk factors assessed to Bartonella spp. exposure in humans were non-statistically significant, among them: cats ownership, dogs or cats contact, have been scratched or bitten by cats, the presence of the Bartonella spp. infected cats in the households, manifestation of symptoms consistent with atypical and classic CSD. Nonetheless, is important to denote that all seropositive humans have been in contact with cats and or dogs. Otherwise, was found a higher risk of Bartonella spp. infection in cats lower than one year (OR 3.6, CI 95% 1.9 – 6.7).
By household, was observed that 7.3% showed at least one Bartonella seropositive member. Meanwhile, in 29.7% of the households was found at least one Bartonella spp. infected cats. The risk factor analysis did not report a significant association between the presence of the infected cat in the household and Bartonella spp. seropositivity in cat owners.
Based on the present result we can infer a lower occurrence of transmission of Bartonella spp. among cats and their owner. In addition, is suggested that also other variables (nonrelated with the cat ownership) could be considered to be involved in human Bartonella spp. transmission.


Keywords: Bartonellosis, CSD, Bartonella spp.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43b008b2-8eab-460a-b708-b149b223981a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Paulina Sepulveda","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"e01fe189-33f0-4dcc-99ed-ddc90422594b","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 10.E - Epidemiology of vector-borne diseases","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-11T15:30:00+00:00","BaseEndDateTime":"2022-08-11T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-11T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-11T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-11T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-11T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-11T19:30:00.0000000+00:00"},{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","SessionBlockId":null,"Name":"Poster Session Thursday","IsSession":true,"ShowTimes":true,"Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","StartTimeOverride":"16:30:00","EndTimeOverride":"17:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#DF2D46","Location":"Halifax Convention Centre │Ballroom B1","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Infertility in beef cattle associated with leptospirosis indicators.","PresentationBio":null,"Title":"Mr.","FirstName":"José","LastName":"Piaggio","Position":"Professor","Organization":"Facultad de Veterinaria UDELAR","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Bovine leptospirosis is a worldwide distributed disease that causes huge economic losses. In cattle, the chronic form of the disease it is known to cause abortions and infertility. The aim of this study was to determine the association between Leptospira seropositivity and/or renal carriers, and infertility problems in beef cows. A case-control study was carried out. In 2020, eleven beef herds without history of vaccination for leptospirosis were selected. Each herd was visited during the first third of gestation of cows, where blood and urine samples were taken from 25 pregnant cows (controls) and 10 infertile cows (cases). The serum samples were processed by microscopic agglutination test (MAT) against nine serogroups and urine samples by qPCR-LipL32. The statistical analysis was made with a mixed-model regression for binary variables, with herds as a random effect. An association was found between seroreactivity to Sejroe serogroup, renal carriers and infertility problems. Cows with titers ≥1:200 for Sejroe serogroup in MAT are 1.9 (95% CI: 1.0-3.7) times more likely to be infertile (p=0.055); and cows excreting Leptospira spp. in urine (renal carrier) are 2.7 (95% CI: 1.5-4.6) times more likely to be infertile (p<0.01). An interaction was found, cows seropositive for serogroup Sejroe and excreting Leptospira spp. are 3.7 (95% CI: 1.8-7.4) times more likely to be infertile (p<0.01). When comparing the seropositivity to Sejroe serogroup (titles ≥1:200) between pregnant and infertile cows, significant differences were found, having 22.8 ± 2.5% and 34.5 ± 4.6% (p=0.018), respectively. On the other hand, 28.6 ± 2.7% of pregnant cows and 50 ± 4.8% in the infertile group were positive to PCR (p<0.01). It was concluded that serological diagnosis and detection of bacterial DNA in urine of pathogen Leptospira spp. could be an indicator of infertility problems in unvaccinated beef herds.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. José Piaggio","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Compartmentalization as a tool to support food security, disease eradication and business continuity in the event of an outbreak of African Swine Fever in Canada","PresentationBio":null,"Title":"Dr.","FirstName":"Krista","LastName":"Howden","Position":"Director/senior Scientific Advisor","Organization":"One Health Scientific Solutions","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d3f79a679f97427d8d4c47671c99ccfb","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives. Ensuring business continuity and maintaining domestic and international trade in the context of moderate to long-lasting epidemics of major animal diseases is a challenge worldwide. It is part of the wider concept of resilience to animal diseases and of critical importance for food security and the viability of rural economies. The World Organization for Animal Health (OIE) supports the application of compartmentalization as a tool to mitigate risk from infectious animal diseases. The purpose of our study was to identify the requirements for an ASF-free swine compartment, provide guidance for implementation, and discuss the advantages and challenges of the approach.

Materials and Methods. A comprehensive review of the literature and international standards to identify requirements for an ASF-free swine compartment was first undertaken. Secondly, a desk-based and on-site assessment of a vertically integrated swine production system in Canada were completed to develop practical, ASF-specific recommendations including both on-farm and abattoir requirements.

Results. Compartmentalization is a tool that requires deep knowledge of both structural factors (value chain, stakeholders, legislative framework) and disease-specific factors (epidemiology, disease control measures). Its application requires minimum standards for biosecurity, surveillance and traceability and a governance and oversight framework. At the compartment operator level, bio-exclusion measures to prevent the introduction of ASFV via people, fomites, pigs, pork products, feed, and proximity pathways are required. Barn-based mortality and morbidity surveillance supports early detection and demonstration of freedom from ASF. Last, biosecurity, segregation and traceability at slaughter establishments ensure compartment products are not cross-contaminated with ASFV.

Conclusion. Integrated production systems lend themselves well to compartmentalization. Although substantial work is required to set up a national program, compartmentalization demonstrates benefits beyond maintaining business continuity and international trade. This includes supporting ASF preparedness and eradication, strengthening national animal health systems and building trusting partnerships between industry and governments.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c901ec5-8189-459e-b859-afcfb8a96f9b","d12154ed-5a96-4eee-9b2d-d5985b20d3db","512e7a65-c837-49ce-8f06-827e25887293","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Krista Howden","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"High erythromycin-resistant Campylobacter jejuni and C. coli among human and chicken in Africa: systematic review and meta-analysis.","PresentationBio":null,"Title":"Mr.","FirstName":"Mesfin","LastName":"Worku","Position":"PhD fellow","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Human Campylobacter spp. enteritis is a common bacterial foodborne illness globally. C. jejuni and C. coli are implicated: chickens are carriers of these bacteria without showing clinical symptoms. The burden of antimicrobial resistant Campylobacter is increasing worldwide. However, there are limited data on the extent of antimicrobial resistance in Africa.
Objective: this review aimed to estimate the pooled magnitude of antimicrobial resistance of Campylobacter jejuni and C. coli.
Materials and methods: to fill this gap, we conducted a systematic review and meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Checklist. Literature search used relevant terms and phrases combined using the Boolean operators. The databases PubMed, Google Scholar, Hinnari, and Google were used to find relevant articles. All necessary data were extracted using a standardized data extraction format by two individuals independently. A quality assessment of selected articles was made using Newcastle–Ottawa scale adapted for cross sectional studies.
Result: A total 12 studies were identified by this systematic review and meta-analysis. Of 1,142 isolates documented in the papers, 858 (75.1%) were C. jejuni and 284 (24.9%) were C. coli. We found C. jejuni showed lowest resistance level (21.2%) to ciprofloxacin and highest resistance level to trimethoprim-sulfamethoxazole(78.2%) whereas C. coli showed lowest resistance level (18.3%) to ciprofloxacin and highest level of resistance (82.7%) to azithromycin. The overall pooled magnitude of erythromycin resistance C. jejuni and C. coli among in human and chicken subjects was 51.0% and 54.0%, respectively.
Conclusion: this systematic review and meta-analysis found high pooled magnitude of erythromycin resistant C. jejuni and C. coli among isolates from both humans and chickens in Africa. More One Health research is needed to give a clear picture on antimicrobial resistance and transmission dynamics of Campylobacter spp. in Africa, covering both humans and poultry.
Key words: Campylobacter, erythromycin, chicken, human
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Mesfin Worku","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Colombian Creole horse: Prevalence of oral and motor stereotypes","PresentationBio":null,"Title":"Miss","FirstName":"Natalia","LastName":"Uribe Corrales","Position":"Professor","Organization":"Corporación Universitaria Lasallista","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction: The current housing of horses has severe restrictions on locomotion, and feeding is a combination of high-energy concentrates and relatively little forage, potentially leading to some motor or oral stereotypies. Objective: The study reported the frequency of stereotypies in Colombian Creole horses in Girardota and some associated risk factors. Materials and methods: A prospective cross-sectional study was carried out in 2019 - 2020. One hundred two equines older than 28 months barned participated. A questionnaire was made to know the horses' daily barn routine. The horses were observed twice a day for two hours during three consecutive days to record information related to stereotypes. The chi-square test and the U Mann Whitney test were performed. Associations were considered statistically significant at a P< 0.05. Results: 32.35% of the horses presented at least one stereotype. The most common was cribbing, 17.65%. Age, weight, gender, type of feeding, visual contact between horses and natural lighting were associated with oral stereotypies. Cribbing was more common in young horses (U 1.36; p≤0.05); wind sucking more common in lighter animals (U 1.45; p= 0.01), tongue-tie more usual in stallions (X2 9.10; p≤0.01), feeding with bran, molasses and gopher, did not have visual contact and did not have natural lighting were associated with pica (X2 9.52; p≤0.02: X2 3.72; p≤0.05 and X2 3.72; p≤0.05 respectively). On motor stereotypies, kicking the wall was usual in young animals (U 1.54; p=0.03) and walking in circles in lactating mares (X2 13.20; p≤0.02).
Conclusion: Horses' housing conditions in our study had several risk factors. All these factors resulted in a higher frequency of stereotypes. Establishing risk factors for the presentation of abnormal behaviours will allow the implementation of good management practices in the production systems of the Creole Colombian horse and improve their welfare. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a40f7453-5dfa-4c22-bf36-4e487526f525","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Natalia Uribe Corrales","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Detection of risk areas and factors associated with the avian influenza H5 environmental contamination at live bird markets in Dhaka metropolitan local government areas, Bangladesh","PresentationBio":null,"Title":"Mr.","FirstName":"Shovon","LastName":"Chakma","Position":"Phd Candidate","Organization":"The University of Queensland","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b56f17ef23534c4cac7bdd9b60f0aab0","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background: Avian influenza (AI) H5 virus persistence at the live bird markets (LBMs) environment is primarily related to poor market-level biosecurity practices in Bangladesh.

Objective(s): This study aimed to characterize the differences in the proportion of AI(H5) environmental contamination in markets of two local government areas of Dhaka metropolitan, to quantify factors associated with the probability of market-level AI(H5) environmental contamination risk and work-zone specific (arrival, slaughtering and processing, and sales) contamination patterns.

Materials and Methods: We investigated 104 LBMs of Dhaka during January-March 2016 by univariable Fishers exact test to identify the significance differences by location of Dhaka markets. Furthermore, we ran bernoulli generalized linear models and multinomial logistic regression models to quantify factors associated with the probability of market-level AI(H5) environmental contamination and work-zone specific environmental contamination patterns, respectively.

Results: LBMs located in Dhaka North City Corporation are more vulnerable to AI(H5) environmental contamination than Dhaka South City Corporation markets. The probability of AI(H5) environmental contamination is equally likely in all market work zones investigated (Figure 1). Results showed higher environmental contamination in LBMs that have both wholesaler and retailer compared with retailer-only markets and in March compared with January.

Conclusion: The findings provide policy-relevant insights into AI(H5) environmental contamination risk areas in Dhaka metropolitan, which would be appropriate in designing a market-level biosecurity intervention to minimize the human H5 infection risk linked with LBMs.

Keywords: avian influenza, environmental contamination, live bird market, Bangladesh
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c6d7fce3704b462f99ec1359fb6a4753","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","502f57ff-3ea6-475b-858d-340ec3e1c6e4"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/chakmashovon","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/chakmashovon","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/chakmashovon","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/chakmashovon","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Shovon Chakma","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluating syndromic surveillance at farm level in aquaculture: outbreak detection of an endemic disease in Norwegian salmon production","PresentationBio":null,"Title":"Mrs.","FirstName":"Cecilie","LastName":"Walde","Position":"Phd-candidate/researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9c0c15f1da8e4613b4ff196f35461796","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To evaluate the performance of a syndromic surveillance system for detecting salmon pancreas disease (PD) outbreaks at farm-level.
Materials and methods: The study population consisted of marine farms producing Atlantic salmon in a PD-endemic area in Norway. We applied temporal aberration detection to data reported monthly by farmers. Using data from 2014-2017, we trained a generalized linear model with individual fish mortality for each farm-month as the outcome, and fish weight, salmon lice treatments, and temperature as predictors, along with an offset for the number of fish at risk. We included auto-regressive components for fish mortality to capture the temporal dependency within each cohort. We then used data from 2018-2021 to parameterize and validate the model performance prospectively against the current national PD surveillance programme (based on laboratory and clinical findings).
Results: The balance between sensitivity and specificity was optimized when alarms were defined as a fixed cut-off of 2% mortality per farm-month, observed mortality was above the 95% confidence interval for model predictions, and when potential outbreaks were defined as 3 consecutive months of alarms. Under these settings, alarms generated for the testing set (210 cohorts) were classified as: true positive = 70, false positive = 60, true negative = 67 and false negative = 13. Thus, the detection using the alarms had high sensitivity (0.84), low specificity (0.53) and a high false positive rate (0.47). Positive and negative predictive values were 0.54 and 0.84, respectively. Out of the 70 true positives, the median time to detection by alarms was one month after the current surveillance system (IQR -3 − 4 months).
Conclusion: Our results indicate that the system is useful for monitoring mortality at farm-level, but signals are unspecific if evaluated against an individual disease (PD).
Keywords: Syndromic surveillance, mortality, aquaculture, Salmo salar, pancreas disease
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","b838af4f-bddf-4b1b-84d6-642a51a831fd","33998207-8c57-4717-9114-ccf9182e92bf"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Cecilie Walde","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Estimating the true seroprevalence of Toxoplasma gondii in Danish pigs","PresentationBio":null,"Title":"Prof.","FirstName":"Lis","LastName":"Alban","Position":"","Organization":"Danish Agriculture & Food Council","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"EFSA has identified Toxoplasma gondii as a potential food safety hazard from eating pork. Before deciding on risk mitigating strategies, the true seroprevalence in different pig subpopulations should be estimated. Moreover, the possibility of identifying infected herds must be evaluated. Therefore, we investigated these issues of relevance to surveillance and control using Danish data.

Blood samples were obtained from different subpopulations and tested for T. gondii antibodies using PrioCHECK ELISA. Risk-factors were identified using a hierarchical model, and the time taken to detect seropositive indoor and outdoor finisher and sow farms was investigated. The optimum cut-off for the ELISA was evaluated using Bayesian latent class analysis using data from samples simultaneously tested with the ELISA, modified agglutination test and Western blot. Sensitivity and specificity estimates at the updated cut-off were used to calculate the true seroprevalence in each of the four pig subpopulations i.e., indoor- and outdoor-raised finishers and sows.

Our findings suggest that the manufacturer’s cut-off should be increased from 20.0 to 27.7PP to obtain sensitivity and specificity of 99% and 95%, respectively. The estimated true seroprevalence was 1% (95% CI = 0–4%) in conventional finishers, 7% (95% CI = 2–13%) in organic finishers, 16% in conventional sows (95% CI = 8–26%) and 58% (95% CI = 46–69%) in organic sows. The risk factor analysis identified animal-type (sows versus finishers) and production (conventional versus organic) as risk factors for T. gondii seroprevalence. Time-to-detection was longer in conventional finisher and sow herds than in organic finisher herds.

Our findings support EFSA’s recommendation of auditing for biosecurity in low-risk conventional finisher herds and monitoring of outdoor finishers. Though sows are more likely to carry tissue cysts, their meat is mainly used for making processed products that are considered safe for consumption.

Keywords: zoonoses, Toxoplasma, pigs, surveillance, risk-mitigation
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Lis Alban","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Development of evaluation methods for the vaccination policy against Classical Swine Fever at Japanese pig farms using a simulation model","PresentationBio":null,"Title":"Ms.","FirstName":"Makoto","LastName":"Ukita","Position":"","Organization":"Rakuno Gakuen University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f1f5128eb21647529c4d17941bf1be82","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":" The outbreak of classical swine fever (CSF) in a domestic pig farm occurred in Japan in 2019 after 26 years. CSF was spread to wild boar population, and even though CSF vaccination to domestic pig farms were conducted, farm outbreaks persisted. In this study, an individual-based model for the reduction of maternally-derived antibody (MDA) and increase of vaccine-induced antibody was established based on the S/P ratios of sows and piglets tested by enzyme-linked immunosorbent assay, in response to the needs of objective assessment tool of deciding the vaccination timing.
The model has components of estimating MDA based on S/P ratio of sows, reduction of MDA, and immune response to vaccine based on the level of MDA. A simulation was performed up to the 5th generation of reproduction, regarding the first vaccinated sow as the 1st generation (G1), and herd immunity situation was monitored every 0.5 year until 3.5 years after vaccination for sows.
The model found best-bet vaccination timing which conforms to current vaccination policy, but the level of protection particularly in weaning period was pessimistic. High titer of G1 sows after vaccination started was the reason for the high risk, and preferential culling of high titer G1 sows would stabilize herd immunity one year faster.
The model clarified the highest risk of infection with CSF in weaning period. This study offered evidence-based selection of appropriate timing of vaccination. High MDA in G1 sows are causing interference of immune response to CSF vaccine, and preferential culling of G1 sows with high antibody titer would shorten the risk period for a year. Time rag of start of vaccination according to prefectures would result in the heterogeneity in herd immunity status, thus herd immunity should be examined at farm level using this model.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Makoto Ukita","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling the spread and control of African swine fever in domestic and feral pig populations in Australia","PresentationBio":null,"Title":"Dr.","FirstName":"Richard","LastName":"Bradhurst","Position":"Senior Research Fellow","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1ab471f23e3f4f1ca6bd33588d97691c","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Title: Modelling the spread and control of African swine fever in domestic and feral pig populations in Australia

Keywords: ASF, AADIS, veterinary epidemiology, decision support tools

Objectives
The challenge of planning for emergency animal disease outbreaks can be compounded by the complex epidemiological interplay between livestock, wild animals, and the environment. If ASF were to enter the feral pig population in Australia it is unclear whether it would establish and pose an ongoing threat to domestic pigs. Epidemiological models can assist in the formation of animal health policy for emergency animal disease, especially where field studies are not possible or practical.

Materials and methods
The Australian Animal Disease Spread model (AADIS) is used by animal health authorities in Australia to support disease planning and preparedness. A new AADIS-ASF model was developed to represent the domestic and feral pig populations in Australia and simulate the potential spread and control of ASF in and between them.

Results
The degree of spillover transmission between domestic and feral pigs was dependent on production system characteristics, on-farm biosecurity, feral pig density, contact rates between feral pig groups and between domestic and feral pigs, and regional and seasonal influences on feral pig carcass decay.

Conclusion
AADIS-ASF is a new decision support tool to assist disease managers explore the potential spread and control of ASF in domestic pigs and the risk of transmission between domestic and feral pigs.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2ae6342681be459191d54ca81b5a1058","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":"Drcodehammer","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"Drcodehammer","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=Drcodehammer","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=Drcodehammer","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Richard Bradhurst","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"African swine fever in pigs slaughtered in central Uganda: Clinical, pathological, serological, and molecular findings ","PresentationBio":null,"Title":"Dr.","FirstName":"John Eddie","LastName":"Ekakoro","Position":"Postdoctoral Associate","Organization":"Cornell University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b22e92e82be742509c8ad0443f7c2f49","IsPresentingAuthor":false,"Order":9,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective

African swine fever (ASF) is an infectious disease of pigs caused by a DNA virus in the family Asfarviridae. Although ASF is endemic in Uganda, there is not a comprehensive understanding of its clinical and pathological presentation as well as its distribution there. The objective of this study is to compare the clinical and pathological presentation of ASF at the time of sample collection at pig slaughterhouses in central Uganda to the serological and molecular diagnostic findings.

Materials and methods

This study is ongoing and so far, 459 pigs out of 1200 have been systematically sampled from six slaughterhouses in Uganda. Clinical and pathological scoring algorithms capture the ASF clinical signs and lesions, and serum is tested for antibodies against ASFV using Ingenasa’s indirect ELISA and molecular testing with qPCR will be conducted. Appropriate statistical analyses will be conducted to assess agreement between the four diagnostic tools.

Results

Early results showed three out of 459 (0.65%, 95%CI: 0.13%, 2%) samples had antibodies against ASFV. Of the 459 samples, 332 have had clinical and pathological data compiled. 329 out of 332 pigs did not have antibodies to ASFV but did show clinical signs or lesions that are commonly found with ASFV infection. Ninety-six (31.2%) out of 308 pigs had skin discolorations, 43.3% of 328 had hemorrhagic spleens, and 48.5% of 328 had enlarged/hemorrhagic gastro-hepatic lymph nodes. There are no PCR results yet.

Conclusions

Early results show a low seroprevalence of ASFV in central Ugandan slaughterhouse swine. However, the clinical and pathological results show that more than 30% of pigs slaughtered may have clinical signs and lesions observed in ASF, suggesting low survival from ASF and potentially no chronic disease state. The molecular diagnostic testing and sequencing that will be conducted later will provide insights into the ASF situation in Uganda.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b","3c633f59-5da2-4213-a804-5e21f6f27422"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. John Eddie Ekakoro","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An investigation of the differential diagnoses of African swine fever in pigs slaughtered in central Uganda ","PresentationBio":null,"Title":"Dr.","FirstName":"John Eddie","LastName":"Ekakoro","Position":"Postdoctoral Associate","Organization":"Cornell University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b22e92e82be742509c8ad0443f7c2f49","IsPresentingAuthor":false,"Order":10,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective

African swine fever (ASF) is a highly infectious viral disease of pigs that is endemic in Uganda. Several pathogens like swine influenza virus (SIV), porcine reproductive and respiratory syndrome virus (PRRSV), classical swine fever virus (CSFV) and Salmonella spp., can cause clinical signs and lesions similar to those caused by African swine fever virus (ASFV) making the clinical diagnosis of ASF difficult. Little is known about the occurrence of SIV, PRRSV, CSFV and Salmonella spp. in pigs in Uganda. The objective of this study is to determine the prevalence of SIV, PRRSV, CSFV, and Salmonella spp. in slaughterhouse pigs in Uganda.

Materials and methods

At least 1200 pigs will be sampled from six abattoirs (Wambizzi, Lusanja, Budo, Katabi, Buwate and Kyetume) from May 2021 through June 2022. So far, 296 serum samples have been analyzed for the presence of antibodies against SIV and PRRSV using the Ingenasa’s SIV and PRRS indirect ELISAs respectively. For each pathogen, the ELISA positivity rate and 95% confidence interval was calculated. Culture of samples for Salmonella spp. and testing for CSFV using qPCR will be completed.

Results

Of the 296 pig sera analyzed, 258 (87.2%, 95%CI: 82.84%, 90.53%) had antibodies against SIV and six (2.03%, 95%CI: 0.83%, 4.5%) had antibodies against PRRSV. One pig that was seronegative to ASFV, was seropositive to PRRSV, and had clinical signs and lesions observed in ASF. Active infection by ASFV cannot be ruled out in this pig until further testing using qPCR is completed.

Conclusions

Early data suggests a high-level of exposure to SIV and low exposure to PRRSV. The presence of these viruses in Uganda could make early diagnosis of ASF difficult because in the early stages of ASF, clinical signs and lesions maybe non-specific and similar to those observed in infections with these viruses.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. John Eddie Ekakoro","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Mapping hotspots for emergence and inter-regional spread of contemporary PRRSV sub-lineages in the United States using phylogeography","PresentationBio":null,"Title":"Dr.","FirstName":"Nakarin","LastName":"Pamornchainavakul","Position":"PhD candidate","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f6477de5b9bb4656bb12df21f5890bf1","IsPresentingAuthor":false,"Order":11,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Porcine reproductive and respiratory syndrome costs the United States >$500 million annually. The repeated emergence of new genetic variants of PRRSV-Type 2, the disease-causing virus, reflects the failure of previous control efforts. Although it is hypothesized that immune-mediated selection underpins evolutionary dynamics, understanding spatiotemporal heterogeneity in selection pressures, variant emergence, and spread is critical to the prevention of future outbreaks. By conducting a comprehensive phylogeographic analysis, our objective was to investigate how the pace of evolutionary change varies across time and space, identify geographic hotspots for emergence of new variants, and map patterns of inter-regional spread of PRRSV Lineage 1 (L1), which has been the dominant phylogenetic lineage in the U.S. for the past 10 years. Over 45,000 PRRSV open reading frame 5 (ORF5) genetic sequences between 2002 and 2021 were obtained from public and private sources. After data filtration and stratified random sampling, five different subsets of L1 ORF5 sequences were assembled to construct discrete phylogeographic models. Preliminary findings show that the L1 ancestor emerged in 1990 (1987-1992 95%HPD) and its successors peaked in population growth every ~6.2 years on average. The timing of these peaks appears to coincide with the emergence of sub-lineages known to be atypically virulent. Most sub-lineage emergence events tended to occur in the Upper Midwest, an area characterized by high pig densities and numerous different production systems. Dispersal rates were highest between the Upper Midwest to the Central Midwest, followed by subsequent inter-regional dispersal events originating from the Central Midwest. These results suggest a contemporary shift in the geographical hub of PRRSV emergence and inter-regional spread, which contrasts with patterns observed in prior decades potentially reflecting new or altered epidemiological dynamics. Our study identifies key PRRSV circulation pathways across the country, which could help strategize disease control and containment of emerging variants.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a424daba-5d1a-4f4a-9bf5-d16c5f51514c","40011888-980a-402c-868e-27ff2aacbc1b","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Nakarin Pamornchainavakul","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Development and validation of animal welfare knowledge, attitude, and practice assessment tool among smallholder farmers in Ethiopia","PresentationBio":null,"Title":"Dr.","FirstName":"Gezahegn Alemayehu","LastName":"Ayalew","Position":"Research officer","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ffe31ec69e7b4d11828c251ee557f562","IsPresentingAuthor":false,"Order":12,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To develop and validate an assessment tool to measure knowledge, attitude, and practice (KAP) towards animal welfare among smallholder farmers in Ethiopia.
Materials and methods: This study was conducted among smallholder crop-livestock farmers and pastoralists in four districts of Ethiopia. The KAP questions covered a range of species and welfare topics including health and nutrition, resource availability, and behavioral and mental state dimensions of animal welfare. Item response theory models were fitted to the data from reliable items to estimate the probability of correctly answering an item as a function of the respondents’ KAP level. Graphs depicting the discriminating ability and precision of an item across different levels of the latent trait were plotted.
Results: A total of 197 respondents provided information on the set of 34 animal welfare KAP items. Overall, the highest correct mean score was recorded for the attitude section (77%) and the lowest was recorded for practice (25%). From the evaluation, the majority of the items from the Animal welfare KAP fit well with the scale. The discriminating ability of the scales was varied across the latent ability of the respondents. The knowledge and practice scale did well at identifying smallholder farmers with average and above-average trait levels while the attitude scale did well at discriminating between smallholder farmers with average and below-average trait levels. Crop-livestock farmers had a better animal welfare knowledge level than pastoralists (P<0.001). Many of the items in the knowledge section responded differently between crop-livestock farmers and pastoralists which shows the lack of an equal understanding of animal welfare among these groups.
Conclusion: The developed questionnaire had a satisfactory psychometric property for measuring animal welfare KAP in Ethiopian smallholder farmers. This tool will be used to measure the impact of current and future intervention.
Key Words: Animal welfare, Ethiopia, Unidimensional, Questionnaire
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","1304e690-d6da-410b-9c6d-a8c1adf431e9","19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gezahegn Alemayehu Ayalew","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Co-infection of pigs with Taenia solium cysticercosis and gastrointestinal parasites in Eastern and Western Uganda","PresentationBio":null,"Title":"Mr.","FirstName":"Nicholas","LastName":"Ngwili","Position":"Post-doctoral Fellow","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/57aead1b73ce4affbe95ac5d3292e45f","IsPresentingAuthor":false,"Order":13,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: A study was carried out in Kamuli and Hoima districts in Eastern and Western regions of Uganda to determine the Taenia solium porcine cysticercosis (PCC) and gastrointestinal (GI) parasites co-infection status in pigs.
Materials and Methods: One hundred and sixty-one households were selected randomly and visited between November and December 2019. A household questionnaire was administered, and fecal and blood samples were collected. Taenia spp. circulating antigen levels in the sample sera was tested using a commercial enzyme-linked immunosorbent assay kit, apDia™ cysticercosis Ag ELISA. The modified McMaster technique was used to identify and quantify the GI parasites.
Results: The apparent animal level seroprevalence for PCC was 4.8% (95% CI 2.7 – 7.1) and differed across the two districts (P = 0.018). At the pig herd level, the prevalence was 9.7% (5.5 – 14.4). The prevalence of the different nematode eggs and coccidian oocysts in the two districts were as follows: Strongyles 79.0% (95% CI 74.3 – 83.6), Coccidia 73.3% (95% CI 68.3 – 78.6), Trichuris spp. 7.4% (95% CI 4.9 – 10.6), Strongyloides ransomi 2.1 (95% CI 0.7 – 3.5), Ascaris spp. 4.9 (95% CI 2.8 – 7.4). Overall, across the two districts, the arithmetic mean for the oocysts per gram (OPG) for coccidia was 2042.2±5776.1 and eggs per gram (EPG) was highest in strongyles 616.1±991. Overall, 57.4% of the porcine cysticercosis seropositive pigs were also positive for at least one of the gastrointestinal helminths, which included strongyles, Strongyloides ransomi, Trichuris spp. and Ascaris spp.
Conclusion: The co-infection status of pigs with both PCC and GI parasites demonstrated by this study can provide an incentive for integrating the control and management of both parasites with oxfendazole.
Keywords: Taenia solium, porcine cysticercosis, gastrointestinal parasites, co-infection
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Nicholas Ngwili","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Thoroughbred racehorses moving to and from racing events in the 2017-2018 Australian racing season: Implications for biosecurity and animal welfare","PresentationBio":null,"Title":"Mr.","FirstName":"Kshitiz","LastName":"Shrestha","Position":"Phd Candidate","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/69c6726969194b10b9bd33e61d291003","IsPresentingAuthor":false,"Order":14,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s):
The aim of this study was to describe the movement of Thoroughbred horses from their place of training to racing events during the 2017-2018 Australian racing season to understand: (1) the frequency and destination of off-stable movement events, which in turn would inform biosecurity risk mitigation measures; and (2) how the ‘demand’ for meeting event race positions (as specified by racing authorities) is met by the movement of horses.

Methods:
Individual horse details, trainer details and meeting event details for the 2017-2018 season were provided by Racing Australia.

Results:
Of the 28,184 Thoroughbreds that were active in 2017-2018 78% (n = 21,937) attended races in the state in which they were domiciled. Almost a quarter of active Thoroughbreds travelled interstate to race (22%, n = 6,247).
The frequency of Thoroughbred movements was relatively constant throughout the year with a small number of postcode areas (i.e., those in which there were race tracks) having very high in-degree scores. A higher proportion of race meeting events in rural areas with relatively low prize money offerings were not fully subscribed, compared with those in urban areas.

Conclusion:
This study provides useful information to inform backward and forward tracing in the event of an infectious disease outbreak such as equine influenza. Our supply and demand analyses identify an opportunity for Racing Australia to adjust racing programmes to make them more attractive for horses greater than 5 years of age. This should assist to increase retention of horses within the industry, in turn reducing the likelihood of welfare issues arising when horses retire.

Key words: equine racing, social network analysis, animal welfare, biosecurity, Australia","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","19e01dc9-22cb-4850-9e42-985898b24c36","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","0c901ec5-8189-459e-b859-afcfb8a96f9b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Kshitiz Shrestha","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A systematic review and meta-analysis of the aetiological agents of non-malarial febrile illnesses in Africa","PresentationBio":null,"Title":"Ms.","FirstName":"Kristina","LastName":"Roesel","Position":"Scientist","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ff3b7b71227a4af3a29f44741ed69716","IsPresentingAuthor":false,"Order":15,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The awareness of non-malarial febrile illnesses (NMFIs) has been on the rise over the last decades. Therefore, we undertook a systematic literature review and meta-analysis of causative agents of non-malarial fevers on the African continent.

Materials and methods
We searched for literature in African Journals Online, EMBASE, PubMed, Scopus, and Web of Science databases to identify aetiologic agents that had been reported and to determine summary estimates of the proportional morbidity rates (PMr) associated with these pathogens among fever patients.

Results
A total of 133 studies comprising 391,835 patients from 25 of the 54 African countries were eligible. A wide array of aetiologic agents were described with considerable regional differences among the leading agents. Overall, bacterial pathogens tested from blood samples accounted for the largest proportion. The summary estimates from the meta-analysis were low for most of the agents. This may have resulted from a true low prevalence of the agents, the failure to test for many agents or the low sensitivity of the diagnostic methods applied. Our meta-regression analysis of study and population variables showed that diagnostic methods determined the PMr estimates of typhoidal Salmonella and Dengue virus. An increase in the PMr of Klebsiella spp. infections was observed over time. Furthermore, the status of patients as either inpatient or outpatient predicted the PMr of Klebsiella spp. infections.

Conclusion
The small number of epidemiological studies and the variety of NMFI agents on the African continent emphasizes the need for harmonized studies with larger sample sizes. In particular, diagnostic procedures for NMFIs should be standardized to facilitate comparability of study results and to improve future meta-analyses. Reliable NMFI burden estimates will inform regional public health strategies.

Key words: meta-regression, non-malarial febrile illnesses, pathogens, proportional morbidity rates, Africa","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fad4e092-eee7-46ed-b4a6-a335b0f641b7"],"SocialMedia":{"_twitterHandle":"kristinaroesel ilri ohreca_ilri","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/kristina-roesel-7a06b832","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"kristinaroesel ilri ohreca_ilri","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/kristina-roesel-7a06b832","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=kristinaroesel ilri ohreca_ilri","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/kristina-roesel-7a06b832","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=kristinaroesel ilri ohreca_ilri","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/kristina-roesel-7a06b832","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Kristina Roesel","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Health screening of tilapia (Oreochromis species) populations held at a tropical aquarium with particular focus on two specific pathogens: Mycobacteria spp. and Tilapia Lake Virus","PresentationBio":null,"Title":"Mr.","FirstName":"Nelson","LastName":"Matekwe","Position":"Chief State Veterinarian","Organization":"Veterinary Services","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/14deed413c074eecb24775be5caac9ba","IsPresentingAuthor":false,"Order":16,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives

This study focused on establishing the health status of tilapia (Oreochromis species) populations at a tropical aquarium with particular focus on two specific pathogens which are Tilapia Lake virus and mycobacteria species. The objectives of this study were;
- To determine the Mycobacterium species present in tilapia in the tropical aquarium.
- To determine if Tilapia Lake Virus is present in the tilapia cohorts of the tropical aquarium.

Materials and methods

Molecular and histological diagnostic techniques were employed in order to achieve the objectives of the study. This was done through gross examination, histopathological analysis of Haematoxylin and Eosin (H&E) and Ziehl -Neelsen stained (ZN stain) tissue sections as well as nested polymerase chain reaction (nPCR) and sanger genetic sequencing on sump swabs and fish tissue extracted DNA for Mycobacterium spp. For TiLV, in addition to gross and histopathological examination, real time quantitative PCR (RT-qPCR) was used to detect the presence of TiLV RNA in tilapia fish tissue extracted RNA.

Results

The results indicated that Mycobacterium spp. were present in the water systems and fish in the tropical aquarium while TiLV was not detected in the tilapia fish tested.

Conclusion

Mycobacteria species were present in the water systems of the tropical aquarium as well as in the fish species held in the aquarium, however Tilapia Lake Virus was absent in the tilapia population held at the tropical aquarium.

Key words: Mycobacterium, Tilapia Lake Virus, health screening
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","32b9e4fa-3def-4467-8cec-52826aa2104d","512e7a65-c837-49ce-8f06-827e25887293","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","df5d618c-3702-4d9c-95b6-0ad39c8b6184","3c19c60b-bf2c-4701-b93e-3b18208e3913","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Nelson Matekwe","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Porcine reproductive and respiratory syndrome virus 2 (PRRSV-2) genetic diversity and occurrence of wild type and vaccine-like strains in the United States swine industry","PresentationBio":null,"Title":"Dr.","FirstName":"Mariana","LastName":"Kikuti","Position":"","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cfd91bfecffe4a98937e5bb8e11773f8","IsPresentingAuthor":false,"Order":17,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Here, we describe porcine reproductive and respiratory syndrome virus genotype 2 (PRRSV-2) genetic diversity in the U.S. over the course of 10 years.
Materials and methods
A total of 26,831 ORF5 PRRSV-2 sequences obtained from 34 swine production systems routine monitoring and outbreak investigations between 2009-2019 were included in this analysis. Within group mean genetic distance (mean proportion of nucleotide differences) per year according to herd type was calculated. The percent nucleotide difference between each sequence and the ORF5 sequences from four commercially available PRRSV-2 vaccines (Ingelvac PRRS MLV, Ingelvac PRRS ATP, Fostera PRRS, and Prevacent PRRS) within the same lineage over time was used to classify sequences in wild-type or vaccine-like.
Results
The mean ORF5 genetic distance fluctuated from 0.09 to 0.13, being generally smaller in years in which there was a relative higher frequency of dominant lineage. Vaccine-like sequences comprised about one fourth of sequences obtained through routine monitoring of PRRS. We found that lineage 5 sequences were mostly Ingelvac PRRS MLV-like. Lineage 8 sequences up to 2011 were 62.9% Ingelvac PRRS ATP-like while the remaining were wild-type viruses. From 2012 onwards, 51.9% of lineage 8 sequences were Ingelvac PRRS ATP-like, 45.0% were Fostera PRRS-like, and only 3.2% were wild-type. For lineage 1 sequences, 0.1% and 1.7% of the sequences were Prevacent PRRS-like in 2009-2018 and 2019, respectively.
Conclusion
These results suggest that repeated introductions of vaccine-like viruses through use of modified live vaccines might decrease within-lineage viral diversity as vaccine-like strains become more prevalent. Overall, this compilation of private data from routine monitoring provides valuable information on PRRSV viral diversity.
Keywords
Porcine Reproductive and Respiratory Syndrome; Genetic Variation; Epidemiology; immunology; Vaccines, Virus-Like Particle","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mariana Kikuti","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"What can we learn from national surveillance data: Cross-sectional study on avian influenza in Denmark during the epidemic wave, June 2020 – May 2021","PresentationBio":null,"Title":"Miss","FirstName":"Yangfan","LastName":"Liu","Position":"Phd Student","Organization":"University of Copenhagen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":18,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Purpose:
Avian influenza (AI) is a highly contagious viral disease that can infect various bird species. Low-pathogenic AI (LPAI) is prone to mutate to Highly-pathogenic AI (HPAI) in viral circulation. In Denmark, at least three AI epidemic waves have been observed in the past decade. Therefore, identifying risk factors based on national surveillance data during the latest epidemic wave could be useful for early warning of AI. The objective was to evaluate potential risk factors of AI presence in Denmark during the epidemic wave, June 2020 – May 2021.

Method:
During the 1-year period, 1,638 wild birds were passively or actively collected, and 10,751 domestic birds were actively collected by the national AI surveillance programme. We aggregated the data over location and date, resulting in 831 and 1415 unique observations for wild birds at flock level and domestic birds at herd level, respectively. We then calculated distance from the bird locations to wetland and coast as well as the land cover type of the locations using ArcGIS. Multivariate logistic analysis was adopted to evaluate potential risk factors for AI presence in Denmark.
Results:
For wild birds only season was significant (P < 0.01), where autumn had the highest risk, followed by winter (OR = 0.034). In domestic birds, distance to coast was significant (P < 0.001), with an OR of 0.94 indicating that the risk of AI presence decreases as the distance further away (unit in km). Anseriformes (e.g. duck and mallard, OR = 1) were found in higher risk significantly (P < 0.001) than Galliformes (e.g. chicken, OR = 0.11).

Conclusion:
We identified potential risk factors for wild and domestic birds. The effect of these risk factors on AI presence during an epidemic wave are important to investigate, and can contribute to an AI early warning strategy. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","df5d618c-3702-4d9c-95b6-0ad39c8b6184","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","502f57ff-3ea6-475b-858d-340ec3e1c6e4"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Yangfan Liu","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Identification of potential risk factors for African swine fever through systematic literature review","PresentationBio":null,"Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Organization":"Friedrich-Loeffler-Institut","PhotoUrl":null,"IsPresentingAuthor":false,"Order":19,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: African swine fever [ASF] is an internationally spreading viral pig disease that severely damages agricultural pork production. Risk assessments are critical for the efficient control and management of complex infectious livestock diseases, such as ASF, and require a comprehensive understanding of underlying disease risk factors. The objective of this work was to identify all potential ASF risk factors that have previously been considered in the literature.

Materials and methods: We identified potential risk factors for ASF by systematically searching literature records, following the guidelines for Preferred Reporting Items for Systematic Reviews and Meta-Analysis [PRISMA]. ‘ASF’ and disease ‘risk’ related keywords formed the search string used to query eight literature databases, including PubMed (MEDLINE), Web of Science and Scopus, EFSA and FAO databases, as well as thesis and dissertation networks without specifying historic time limits. Two independent reviewers screened each identified record against pre-defined selection and exclusion criteria. During this process, the reviewers recorded all potential risk factors encountered, whether evidence based or not.

Results: The database searches retrieved 1311 de-duplicated records, of which 467 gave rise to potential risk factor information. Most records were published in the last 10 years. The identified factors could be grouped into risk categories related to ‘environment’, ‘movement’, ‘husbandry’, ‘biosecurity’, ‘surveillance’, ‘society’, ‘viral properties’, ‘disease control’, ‘pig properties’, ‘wildlife management’, networks’ and ‘immune status’. Factors in the ‘environment’, ‘movement’ and ‘husbandry’ categories were most abundant, particularly highlighting potential ASF risks linked to wild boar biology, geomorphology, pork product handling and sick pig management.

Conclusion: Strategic literature searching for potential ASF risk factors created a comprehensive and informative portfolio of possible drivers for transboundary disease causation to inform ASF-related problem solving and risk assessments.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773701.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","3c633f59-5da2-4213-a804-5e21f6f27422","3c19c60b-bf2c-4701-b93e-3b18208e3913"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Carola Sauter-Louis","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluating vaccine effectiveness for classical swine fever among wild boar considering their population dynamics","PresentationBio":null,"Title":"Dr.","FirstName":"Ryota","LastName":"Matsuyama","Position":"","Organization":"Rakuno Gakuen University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/edc92d1da4c74810bc1477d4ace37807","IsPresentingAuthor":false,"Order":20,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Since the re-emergence of classical swine fever (CSF) in domestic pigs and wild boar in September 2018, the epidemic of CSF has continued in Japan. To control CSF among wild boar, bait vaccine campaigns have been implemented since March 2019. While the reported number of immuned wild boar increased after the vaccination, the cause of their immunization has not been differentiated clearly, i.e., recovery (i.e., survival) from CSF or vaccination. It makes the estimation of vaccine effectiveness difficult. In this study, we aimed to estimate the morbidity, mortality and the impact of bait vaccination for CSF among Japanese wild boar by modelling the dynamics of CSF and the population dynamics of wild boar.
Materials and methods: Two different mathematical models were constructed. One was constructed to derive the relation between time series of infected (i.e., RT-PCR positive), immuned (i.e., RT-PCR negative ELISA positive), and total population size of wild boar before the vaccination. Another one was to derive the relation between the CSF transmission dynamics, population dynamics of wild boar, and the distribution of bait vaccines after vaccination. Fitting these models to observed data collected in Gifu prefecture during 2018-2019, i) case fatality ratio (CFR) of CSF and ii) the impact of vaccination were estimated.
Results: CFR was estimated to be approximately 95% by both models. By the second model, the increase in the proportion of immuned boar by vaccination in 2019 was estimated to be 20.2 % (95%CI: 12.9-27.5%).
Conclusion: Our results suggest that i) Japanese wild boar rarely recovered from CSF during 2018-2019 and ii) the bait vaccination increased the proportion of immunized boar. To optimize the control strategy against CSF, the persistence of CSF epidemic among wild boar and the cost-effectiveness of vaccination should be further considered.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","512e7a65-c837-49ce-8f06-827e25887293","76c84259-9a28-4ba9-a370-db4b00031911","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ryota Matsuyama","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Prevalence, serotypes and virulence characteristics of Shiga toxin-producing Escherichia coli isolates from goats grazing on communal rangelands in South Africa.","PresentationBio":null,"Title":"Prof.","FirstName":"Musafiri","LastName":"Karama","Position":"","Organization":"University of Pretoria","PhotoUrl":null,"IsPresentingAuthor":false,"Order":21,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"
Objectives. Shiga toxin-producing Escherichia coli (STEC) is a foodborne pathogen causing disease characterised by mild or severe bloody diarrhoea, hemorrhagic colitis and the haemolytic uremic. Despite its zoonotic importance, STEC remains poorly investigated in communal goat farming systems. The objective of the current study was to detect and characterise STEC isolates which were recovered from goats grazing on communal rangelands in South Africa.
Materials and Methods. A total of 289 goat faecal samples from four communal areas in South Africa were screened for STEC by culture and polymerase chain reaction. Furthermore, STEC isolates were characterised by serotype and virulence genes.

Results. Overall, PCR revealed that 80.28% (232/289) of goats carried STEC. STEC was detected in 75.3%, (116/154) of goats on rangeland A; 90.7%, (39/43) on B; 78.8%, (41/52) on C and 90%, (36/40) on D. Serotyping of 628 isolates revealed 63 distinct serotypes with 34 somatic (O) serogroups and 17 flagellar (H) types. Virulotyping revealed that 27.2% (171/628) isolates possessed stx1 only, 39.3% (247/628) had stx2 only; both stx1 and stx2 were detected in 33.5%, and hlyA in 78.0% (490/628). The eaeA gene was found in 22.1% (139/628) of isolates including five serotypes belonging to the major seven STEC serogroups, commonly associated with human disease: O157:H7, O157:H8, O103:H8, O26:H2 and O111:H8.

Conclusions. To our knowledge, this is the first documented report on the prevalence and characteristics of goat STEC isolates in South Africa. These findings are evidence that goats grazing on communal rangelands in South Africa are an important reservoir of virulent STEC including major serotypes, commonly incriminated in human STEC disease worldwide. However, further studies and enhanced STEC monitoring and surveillance programs are needed to better understand the epidemiology and public health risk posed by goat STEC in South Africa.

Keywords: Shiga toxin-producing Escherichia coli, goats, serotypes, virulence genes
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","7d91534a-2f2b-447f-830f-6178f301b1a3","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","e38fdbff-06ce-4925-a92e-8faaaf3278a6","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Musafiri Karama","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Understanding biosecurity and emergency animal disease preparedness in the pig industry in Australia","PresentationBio":null,"Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Organization":"Charles Sturt University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7779f4452f134313bf967a7fcb071c09","IsPresentingAuthor":false,"Order":22,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Appropriate on-farm implementation of biosecurity and animal health practices is crucial for the prevention of disease introduction and early disease detection and emergency animal disease preparedness. For the pig industry in Australia, this is particularly relevant given the increasing risk of African Swine Fever (ASF), due to the country’s proximity to regions impacted by this disease. This study investigated attitudes and behaviours of pig owners/producers around on-farm biosecurity planning, to identify gaps and barriers in biosecurity implementation and best strategies to improve biosecurity engagement.

Materials and methods: Using a human-centered design, a cross-sectional study using an online survey complemented by interviews to triangulate the results, was used to gather information on biosecurity behaviour and attitudes and ASF preparedness among pig owners/producers.

Results: The survey generated 187 responses, with 14 producers being interviewed. Based on their self-reported reason for keeping pigs, different types of pig owners/producers were identified, with most respondents keeping pigs for home consumption or as pets. Most participants (89.2%) were aware of biosecurity planning, however, only 30.7% had a written plan. The main barrier to developing a plan was their perception of already having good practices and the low biosecurity risk posed by their property. Engagement with other biosecurity practices, such as isolating incoming animals and visitor biosecurity, was low. Despite most reporting high level of ASF concern, awareness of the disease was low. Throughout the survey, lower biosecurity engagement was observed among those keeping pigs for non-commercial reasons.

Conclusions: This study provides insights into current ASF preparedness among the pig industry and identifies motivations for keeping pigs as a key driver for producers’ biosecurity practices and pig management. Understanding motivations and the needs of different producer types is crucial for any extension campaign to be successful.


Keywords: Biosecurity, pig producers, African Swine Fever preparedness, Australia

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["02f86f29-9eae-4d8d-b937-84e31f38e74d","40011888-980a-402c-868e-27ff2aacbc1b","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Marta Hernandez-Jover","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing the impact of behaviour change intervention strategies on biosecurity and African Swine Fever preparedness in the pig industry in Australia","PresentationBio":null,"Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Organization":"Charles Sturt University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7779f4452f134313bf967a7fcb071c09","IsPresentingAuthor":false,"Order":23,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: With the recent spread of African Swine Fever (ASF) in neighboring countries, strengthening Australia’s preparedness against this disease is key for protecting the pork industry. On-farm biosecurity significantly contributes to this preparedness. This study aimed to investigate the influence of government-led behaviour change strategies on producer biosecurity engagement across different sectors of the pig industry.

Materials and methods: A benchmark and an evaluation study, using cross-sectional online surveys and semi-structured interviews, were used, before (March 2020) and after (September 2021) the implementation of government-led intervention strategies. Strategies included one-on-one biosecurity management planning support, biosecurity awareness social media campaigns and producer workshops.

Results: A total of 187 and 77 responses were obtained in the benchmark and evaluation surveys, respectively. Most survey participants identified as non-commercial producers keeping pigs for home consumption or as pets. Just under half (46%) of evaluation survey respondents reported engagement with one or more of the intervention strategies. Despite a high level of biosecurity awareness, biosecurity understanding and practice were low, especially among non-commercial producers, and no significant differences were observed over time at a population level. However, over a third of evaluation survey respondents reported an increase in ASF concern and 20% of participants recorded a change in their biosecurity practices, with those keeping pigs for commercial reasons and those exposed to the intervention strategies more likely to report a change.

Conclusions: The intervention strategies had a positive impact on biosecurity practices of some individuals; however, the overall impact of these strategies to the population was low due to the limited initial engagement with these strategies. A better understanding of the reasons for the low population level engagement and the benefits of targeted strategies for high-risk sectors is needed to improve effectiveness of future intervention strategies.

Keywords: Biosecurity, behaviour change, African Swine Fever preparedness","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","40011888-980a-402c-868e-27ff2aacbc1b","02f86f29-9eae-4d8d-b937-84e31f38e74d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Marta Hernandez-Jover","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Swine Backyard Production Systems in Central Chile: Characterizing Animal Health Management, Biosecurity Measures and Production Value Chain","PresentationBio":null,"Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Organization":"Universidad de Chile","PhotoUrl":null,"IsPresentingAuthor":false,"Order":24,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Backyard production systems (BPS) are abundant in central Chile. Based on recent literature, zoonotic pathogens (such as influenza A virus and Salmonella spp.) are circulating in both poultry and pigs kept in BPS located in central Chile. However, swine BPS have not yet been thoroughly characterized.
The study objectives are to characterize swine BPS in the central zone of Chile, and to identify main inputs and outputs of the production by a value chain analysis.
A total of 358 farmers from central Chile were interviewed by face-to-face interviews between 2013 and 2015. Twenty-one questionnaire variables were used to characterized backyard farms in terms of animal management, biosecurity measures and the value chain of backyard swine production.
A low implementation of biosecurity measures was observed. A third of backyards did not have functional fences, 70% of the producers reported not performing hand washing after handling animals and it was common that BPS had neighboring backyards (30%) or nearby industrial farms (13%). Value chain of swine BPS identified feeding, products and veterinary visits, and replacement or breeding animals as the main inputs to the backyard. The most common origin of swine replacements was from outside the BPS (64%). Meat and live animals (piglets and breeding animals, mainly) were identified as the main outputs of the system. In 16% of BPS, breeding animals were lent to other BPS, indicating the existence of animal movement in and out of backyard farms.
Swine BPS constitute a human-animal interface with characteristics that represent a risk of emergence and dissemination of pathogens, therefore, epidemiological surveillance should be directed to these farms.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","40011888-980a-402c-868e-27ff2aacbc1b","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"chris_hwest","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"chris_hwest","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://chris_hwest","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://chris_hwest","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Christopher Hamilton-West","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The spread of the emerging Salmonella Muenchen in the poultry production system in Israel and possible implication on its control ","PresentationBio":null,"Title":"Dr.","FirstName":"Ehud","LastName":"Elnekave","Position":"","Organization":"The Hebrew University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":24,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Since 2017, Salmonella Muenchen, previously not common in Israel, has been increasingly identified in both human clinical cases, animal and food sources. However, its increase was poorly traced due to restricted serotyping of Salmonella from poultry origin since 2019. We aimed at developing a rapid and cost-effective method for its detection, and to estimate its prevalence in breeding chicken flocks in Israel. Moreover, we aimed at tracing its transmission between breeding and broiler flocks.
Materials and methods: Using unique genetic markers, a multiplex-PCR for S. Muenchen detection was designed. Sensitivity and specificity were determined by comparison to a dataset of 18,282 assemblies of 37 serotypes in-silico, and analysis of 105 isolates of 53 serotypes in-vitro. Serogroup C isolates recovered as part of the national sampling scheme in breeding flocks during 2021, were scanned for detection of S. Muenchen. Moreover, 43 and 35 broiler flocks originating from 13 and 9 breeding flocks positive to S. Muenchen (at least 2 consecutive tests) or negative to Salmonella (at least 3 consecutive tests), respectively, were sampled and tested for S. Muenchen presence.
Results: Test sensitivity of 99.21-100% and specificity of 88.89-100% were determined. S. Muenchen was detected in 411/511 (80.4% CI95%=76.2-83.8%) of the isolates belonging to serogroup C. Moreover, 26/43 (60.5% CI95%=44.4-75%) and 22/35 (62.9% CI95%=44.9-78.5%) of the broiler flocks originating from case and control breeding flocks, respectively, had at least one S. Muenchen isolate detected.
Conclusion: The designed test allows genetic-based, rapid and cost-efficient detection of S. Muenchen. We demonstrated that this emerging serovar have become the dominant serovar of serogroup C found in poultry breeding flocks. Moreover, the similar proportions of case and control infected broiler flocks may suggest of an environmental source of infection. This implies that controlling its spread by vaccination of breeder flocks may not be sufficient.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","8fc4d524-a96c-44ab-af7e-21be4a6db35f","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","e38fdbff-06ce-4925-a92e-8faaaf3278a6","df5d618c-3702-4d9c-95b6-0ad39c8b6184","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":"twitter.com/Vet_PubHealth?t=i1lfvZu88n9lvlwKdHdXXQ&s=09","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/ehud-udi-elnekave-88442b9b","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"twitter.com/Vet_PubHealth?t=i1lfvZu88n9lvlwKdHdXXQ&s=09","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/ehud-udi-elnekave-88442b9b","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=twitter.com/Vet_PubHealth?t=i1lfvZu88n9lvlwKdHdXXQ&s=09","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/ehud-udi-elnekave-88442b9b","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=twitter.com/Vet_PubHealth?t=i1lfvZu88n9lvlwKdHdXXQ&s=09","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/ehud-udi-elnekave-88442b9b","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ehud Elnekave","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quality of reporting of clinical trials in dogs and cats, Part 2: Introducing PETSORT reporting guidelines","PresentationBio":null,"Title":"Mx.","FirstName":"Audrey","LastName":"Ruple","Position":"Associate Professor","Organization":"Virginia Tech","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eff46a09b057466590a5c5a970cf257a","IsPresentingAuthor":false,"Order":25,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Comprehensive reporting of randomized clinical trials (RCTs) is essential for the reader to evaluate the methodological rigor of the trial and interpret the generalizability. The Consolidated Standards of Reporting Trials (CONSORT) statement and the REFLECT statement are available to provide guidance on reporting of published RCTs conducted in human and livestock populations, respectively. The objective of the PETSORT initiative is to create standardized guidelines to aid researchers in reporting RCTs conducted using dogs and cats.

Methods
A consensus group of 56 experts in clinical trial design, biostatistics, epidemiology, and subject matter specialists worked together to modify the CONSORT statement to reflect the unique aspects of reporting RCTs conducted in small animals. The guidelines were developed to be used for both parallel and cross-over trials.

Results
The consensus group work resulted in the production of the PETSORT statement for reporting RCTs in dogs and cats and a 25-item checklist that authors can use to ensure complete reporting. An accompanying explanation and elaboration document provides examples of complete reporting from dog or cat trials for each item, as well as detailed explanations of the importance of each item.

Conclusion
The use of the PETSORT statement, which addresses issues unique to companion animal trials, when designing and publishing RCTs should improve the quality of study design and reporting for trials conducted in dogs and cats.

Keywords: clinical trials, reporting guidelines, dogs and cats","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","21c6493c-d758-4b04-ada0-31630a7d6827","c0c76c20-a7ea-4e61-af24-1ffb79f9f561","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a"],"SocialMedia":{"_twitterHandle":"audreyruple","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/dr-audrey-ruple","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"audreyruple","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/dr-audrey-ruple","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=audreyruple","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/dr-audrey-ruple","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=audreyruple","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/dr-audrey-ruple","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mx. Audrey Ruple","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using SWOT analysis to evaluate potential controls strategies for African Swine Fever in the Dominican Republic","PresentationBio":null,"Title":"Dr.","FirstName":"Rachel","LastName":"Schambow","Position":"","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/400fd8a9b74f4243b1c4dc8bffbda79a","IsPresentingAuthor":false,"Order":26,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"“African swine fever”/“SWOT analysis”/“Dominican Republic”/control/strategies

The African swine fever (ASF) epidemic in pigs in the Dominican Republic (DR) has generated much discussion about the various measures for its control. Strategies range from complete depopulation of the swine population, as in 1978, to a system of passive surveillance with endemicity, with many in-between. Currently, ASF-decision makers need an evaluation of these potential strategies that incorporates both private and public perspectives.

To achieve this goal, we used strengths, opportunities, weaknesses, and threats (SWOT) analysis to evaluate theoretical control scenarios, including components of detection and elimination of ASF, with the aim of contributing to the discussion different alternatives to mitigate the epidemic’s impact.

Relevant experts from the DR private swine industry sector were identified through “snowball sampling\" techniques. First, stakeholders were asked to identify individuals that they would consider experts for ASF in the DR. Once an individual was identified over the threshold, they were contacted to participate. Experts that agreed to participate were administered a SWOT questionnaire for each scenario, with additional questions considering aspects of financial cost, social impact, feasibility, animal welfare, and regional policy. The responses were categorized and analyzed for common themes and summarized for an overall evaluation of each scenario.

The SWOT analysis highlighted that although there are certain benefits associated with each of the proposed strategies, there are also important drawbacks and disadvantages for all. This may explain in part why 6 months after the epidemic was first reported, there is still uncertainty about the most effective control strategy to be implemented.

This analysis is a tool for discussions at the private-public interface and facilitate cooperation between the DR government and swine industry. Ultimately, this work supports the development of strategies that will reduce ASF burden in the DR in a way suitable for all relevant stakeholders.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Rachel Schambow","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A mixed-methods study of stakeholders’ practices and attitudes on avian influenza H7N9 vaccination for the yellow broiler industry in Guangxi, China","PresentationBio":null,"Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":28,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"China introduced a H5/H7 bivalent inactivated vaccine for poultry and integrated into the existing compulsory national H5N1 vaccination program from September 2017. Although the vaccination program effectively reduced H7N9 infections in humans and poultry, there are ongoing arguments against continuing this long-term vaccination. However, the understanding of poultry industry stakeholders’ practices on and attitudes towards this vaccination is lacking. This study investigated H7N9 vaccination practices in the yellow broiler industry in Guangxi and stakeholders’ attitudes on H7N9 vaccination.

A convergent parallel mixed methods design was adopted in the study, using quantitative and qualitative methods given equal weight to answer the same research question. Online questionnaires and semi-structured interviews were conducted in two counties of Guangxi to collect quantitative and qualitative data, respectively. After independent analyses of the quantitative and qualitative data,
the results were compared and integrated into an overall interpretation of the issues of interest.

The study found H7N9 vaccination was well adopted in the yellow broiler industry in Guangxi regardless of the source of the vaccines. Most stakeholders believed vaccination was the best measure to control H7N9 and H5N1 AIVs, and they showed a strong willingness to continue with vaccination even without government subsidies or freely provided vaccines. The motivations by stakeholders for using vaccines to control H7N9 and H5N1 were different due to the epidemiological differences between the two strains.

To our knowledge, this is the first study to investigate H7N9 vaccination practices and to examine local stakeholders’ risk perceptions on H7N9 and their attitudes towards its vaccination in Guangxi, China. The findings provide unique evidence about the mandatory routine vaccination programmes for H7N9 and H5N1 in poultry in China. It has important practical implications in planning vaccination policies, particularly when considering the possibility of vaccination withdrawal.

Keywords: H7N9, avian influenza, vaccination policy, stakeholder attitudes, mix-methods

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","1304e690-d6da-410b-9c6d-a8c1adf431e9","502f57ff-3ea6-475b-858d-340ec3e1c6e4"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mieghan Bruce","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Analysis of the movement of live broilers in Guangxi, China and implications for avian influenza control ","PresentationBio":null,"Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":29,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Most Chinese provinces have a daily-updated database of live animal movements; however, the data are not efficiently utilised to support interventions to control H7N9 and other avian influenzas. This study assessed the spatio-temporal patterns of live broilers moved out of and within Guangxi in 2017 using official daily records.

Guangxi’s de-identified official broiler movements data of the year 2017 were used. The yearly and monthly networks were analysed for inter- and intra-provincial movements, respectively, using social network analysis method.

Approximately 200,000 movements occurred in 2017, involving the transport of 200 million live broilers from Guangxi. Although Guangxi exported to 24 out of 32 provinces of China, 95% of inter-provincial movements occurred with three bordering provinces. Within Guangxi, counties were highly connected through the live broiler movements, creating conditions for rapid virus spreading throughout the province. Interestingly, a peak in movements during the Chinese Lunar New Year celebrations, late January in 2017, was not observed in this study. Both intra- and inter-provincial movements in March 2017 were significantly higher than in other months of that year, suggesting that dramatic price changes may influence the movement’s network and reshape the risk pathways. However, despite these variations, the less than 20% of counties in the network exporting/importing more than 90% of inter- and intra- provincial movements remain the same throughout the year. Interventions, particularly surveillance and improving biosecurity, targeted to those counties are thus likely to be more effective for avian influenza risk mitigation than implemented indiscriminately.

The analysis of official movement data generates unique evidence on movement patterns and support the design of risk-based control interventions for H7N9 and all other avian influenza viruses in broiler value chains in Guangxi.

Keywords: H7N9, avian influenza, poultry movements, social network analysis, China
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","502f57ff-3ea6-475b-858d-340ec3e1c6e4"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mieghan Bruce","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evidence to Improve Veterinary Care and Reduce Cost as a Barrier: Canine Pyometra as an Example","PresentationBio":null,"Title":"Ms.","FirstName":"Margaret","LastName":"Slater","Position":"Vice President","Organization":"ASPCA","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8569cdbb88b24fd581c096aa0a4f507c","IsPresentingAuthor":false,"Order":29,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Survival of bitches after pyometra surgery was examined in three settings: outpatient, non-specialized and specialty veterinary practices. Demonstrating similar effectiveness and safety of pyometra surgery in these settings provides valuable evidence to support lower cost, high quality veterinary care for pet owners and animal shelters.
The ASPCA and the Cummings School of Veterinary Medicine at Tufts University conducted retrospective medical record reviews on surgically treated canine pyometra patients to identify potential risk factors for survival to discharge. Follow-up with clients was performed at the non-specialty clinic.
Survival of bitches with pyometra in the outpatient setting was 96% (86-100%), at the non-specialty 97% (95-99%), and at the specialty setting 93% (85%-97%). Most of the commonly reported risk factors for mortality were not statistically associated with survival. Elevated BUN and presence of heart murmurs were statistically associated but were poor predictors. Life expectancy of bitches after discharge at the non-specialty clinic was substantial and no bitches died after discharge from pyometra-related issues.
These results provide verification to support outpatient and non-specialized veterinary care for canine pyometras. Results provide real evidence about the costs and efficacy of treating common, life-threatening veterinary conditions, and improve veterinarians’ ability to confidently offer a spectrum of treatment options - from less costly and technologically advanced to more costly and advanced. Studies like this provide veterinarians with information that can be shared with clients to help make decisions while considering the risks and benefits of referral to specialty practices vs general practice or outpatient settings. Veterinary schools can reference this study to demonstrate to students the evidence base for a spectrum of care approach to conditions such as canine pyometra. Offering a spectrum of care options and excellent client communication are essential skills for future veterinarians to learn in order to increase clients’ access to veterinary care.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","978aef2c-117a-4e1c-b105-03f159c579de","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","df5d618c-3702-4d9c-95b6-0ad39c8b6184","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Margaret Slater","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Surveillance of equine strangles in the United Kingdom between 2015 and 2019 based on laboratory detection of Streptococcus equi ","PresentationBio":null,"Title":"Miss","FirstName":"Abigail","LastName":"McGlennon","Position":"Phd Student","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0cd9221886e742e8aa5885b7f137baf1","IsPresentingAuthor":false,"Order":31,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Strangles, a highly infectious bacterial disease caused by Streptococcus equi, remains a global problem in horses. Despite impacting equine populations and its ability to spread through international movement of horses, infection with Streptococcus equi is not recognised as a listed disease by the World Organisation for Animal Health. Control of strangles is challenging due to limited surveillance, lack of awareness and/or failure to comply with biosecurity recommendations and pre-movement testing. Improved knowledge of laboratory diagnoses integrated with temporo-spatial analysis would permit the optimisation of biosecurity protocols and help decrease disease incidence.
Objective: Describe epidemiological data gathered from laboratory-confirmed diagnoses of strangles based on the detection of Streptococcus equi across the UK between 1st January 2015 and 31st December 2019.
Materials and Methods: Seven UK laboratories reported strangles diagnoses within the study period based on identifying Streptococcus equi via agent detection assays from field-based practitioner-submitted samples. Associated clinical history and animal signalment were collected where provided, and descriptive analysis undertaken.
Results: Within the study period, 1617 laboratory-confirmed diagnoses from samples submitted by 315 veterinary practices were reported. Of these, 51.6% were from swab samples and 44.0% from guttural pouch lavages. Diagnoses were primarily based on qPCR alone (59.6%), qPCR and culture (35.8%), or culture alone (4.6%). A total of 1791 clinical signs were reported among 713 diagnoses; nasal discharge (31.3%) and pyrexia (20.5%) were most frequently reported. Regions with the highest number of positive diagnoses were North Yorkshire (n=75, 4.6%), Staffordshire (n=71, 4.4%) and West Sussex (Northeast) (n=63, 3.9%).
Conclusions: This study provides insights into clinical features of and veterinary approaches to laboratory diagnosis of strangles in UK horses and details the epidemiology of strangles on a level previously unreported, although limited and/or missing clinical history and signalment on laboratory submission forms restricts the completeness of the data.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a40f7453-5dfa-4c22-bf36-4e487526f525","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"LinkedIn.com/in/abigail-mcglennon","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"LinkedIn.com/in/abigail-mcglennon","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://LinkedIn.com/in/abigail-mcglennon","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://LinkedIn.com/in/abigail-mcglennon","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Miss Abigail McGlennon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Disease occurrence and medication usage in pregnant Thoroughbred broodmares and factors associated with early-life developmental orthopaedic disease in their offspring.","PresentationBio":null,"Title":"Dr.","FirstName":"Rebecca","LastName":"Mouncey","Position":"Phd Student","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4b7bbe09842e4dcebd4349b662d6d37b","IsPresentingAuthor":false,"Order":32,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Estimates of disease occurrence and medication usage in pregnant Thoroughbred broodmares are lacking. Developmental orthopaedic disease (DOD) is a common cause of early-life morbidity and mortality in Thoroughbreds and may be associated with mare- and pregnancy-related factors.
Objectives: (i) Describe disease and medication usage in pregnant Thoroughbred broodmares; (ii) Investigate associations between mare- and pregnancy-related factors and early-life DOD in foals.
Methods: Details of veterinary interventions for DOD in the first 6 months of life were recorded on a Thoroughbred birth cohort. Dams’ signalment, breeding history, details of veterinary-attended episodes of disease or injury and medication usage during pregnancy were retrieved from veterinary records. Associations between mare- and pregnancy-related factors and DOD in offspring were assessed using multivariable logistic regression.
Results: Records were available for 275 pregnancies in 235 mares on seven farms over two breeding seasons, during which 34% (n=70/203, 95% confidence interval (CI) 28-41) of mares (with complete veterinary records) suffered at least one veterinary-attended episode of disease or injury and 47% (n=95/203, 95%CI 40-54) received at least one medication. Of the resultant 272 live foals, 22% (n=59/272, 95%CI 17-27) required veterinary intervention for DOD in the first 6 months of life. Odds of DOD decreased by 4% per day increase in gestation length between 314 and 381 days (odds ratio 0.96, 95%CI 0.93-0.99, P=0.01), data were not significantly clustered by farm or mare.
Self-selection of participants may affect generalisability of findings. Use of only veterinary-attended episodes likely underestimates disease occurrence. A limited number of risk factors were evaluated due to missing data.
Conclusions: Disease occurrence and medication usage during pregnancy in Thoroughbred broodmares are common and warrant further investigation. Longer gestation length appears to reduce the odds of early-life DOD, however further work is required to elucidate biological mechanisms behind this association.
Broodmare; Disease; Foal; Gestation; Orthopaedic.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a40f7453-5dfa-4c22-bf36-4e487526f525","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Rebecca Mouncey","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Introduction and application of outcomes research in veterinary epidemiology.","PresentationBio":null,"Title":"Mrs.","FirstName":"Natalia","LastName":"Cernicchiaro","Position":null,"Organization":"Kansas State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":33,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Our objective is to introduce the discipline of outcomes research (OR) and its application to veterinary epidemiology. Through this conceptual analysis, we will translate OR principles and methodologies into the veterinary epidemiology field, discuss its applications, advantages and limitations, and make a case as to why integrating these concepts are advantageous as they aim to benefit veterinary epidemiology, medicine and society.

Materials and methods: There are many aspects of veterinary epidemiology and economics that could be considered under the heading of OR, but an intentional effort has yet to be made to harmonize the application of principles and methods into the veterinary field. Depending on the outcome of interest, different types of analyses can be performed within OR, including the assessment of follow-up care (risk-standardized survival rate analyses), cost-effectiveness analyses, quality of life analyses or mixture models/latent class analysis, among others.

Results: Outcomes research has been described as research concerned with the end results of public health interventions or services. Although developed and broadly applied in human health, its formal implementation for addressing animal health issues has been limited. With a goal of improving effectiveness and efficiency in animal health care and its associated impacts on human health, OR activities in veterinary medicine demonstrate the value of animal health interventions. Value is commonly determined by cost savings; however, non-monetary elements of value, such as ease of treatment administration, improved quality of life, and/or reduced labor can also be incorporated. Elements of value are determined by stakeholders’ perceptions and use of products or services that meet or exceed functional, emotional, life-changing, and/or societal needs.

Conclusion: By providing a comparative approach of the application of OR, we aim to relate and leverage similarities and differences across topics and species when applying OR methods to enhance veterinary epidemiology.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Natalia Cernicchiaro","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Farm internal biosecurity measures to reduce hepatitis E virus in fattening pigs","PresentationBio":null,"Title":"Ms.","FirstName":"Marina","LastName":"Meester","Position":"Phd Candidate","Organization":"Utrecht University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a484ad9c23d342239061933d3ffa1774","IsPresentingAuthor":false,"Order":34,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: zoonosis; risk factors; within-farm transmission
1.\tHepatitis E virus (HEV) can be transmitted from pigs to humans and cause liver infection. HEV circulates on most farms and almost every group (batch) of pigs at slaughter is HEV seropositive. Reducing the number of HEV shedding pigs at slaughter is necessary to lower human exposure but it is unknown how to realize this. Therefore, we aim to identify measures that aid HEV control on pig farms via a retrospective risk factor study.
2.\tM&M: The outcome of interest was the proportion of HEV negative batches delivered to slaughter, which was determined for 215 farms previously. Farms with the highest / lowest proportion of negative batches were approached. Information on farm management, with a focus on internal biosecurity, i.e. direct, indirect contact between pigs and cleaning and disinfection, as potential protective measures was gathered by an interview with the farmer, and audit (resp. 200; 80 questions), performed by the researcher. Both farmer and researcher were blind for the outcome. LASSO (least absolute shrinkage and selection operator) regression with cross-validation on 500 bootstrap samples was used to select variables associated with the outcome, when corrected for all other variables in the model.
3.\tResults: Rubber and steel floor material in fattening pens were selected by LASSO most often and increased the odds of an HEV negative batch with odds ratios (OR) 5.87 (95% confidence intervals (95%CI) 3.03-11.6) and 7.13 (95%CI 3.05-16.9), respectively. Cleaning driving boards frequently (OR 1.99 (95%CI 1.07-3.80)), fly control with predatory flies (OR 4.52 (95%CI 1.59-13.5)) and a fattening period shorter than 105 days were the other protective factors in the final model.
4.\tConclusion: Specific farm biosecurity measures need to be considered for HEV control on pig farms. Yet, the effects of implementation need validation in future intervention studies.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","e38fdbff-06ce-4925-a92e-8faaaf3278a6","33998207-8c57-4717-9114-ccf9182e92bf"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Marina Meester","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Initiating a conversation about decolonisation in animal health","PresentationBio":null,"Title":"Dr.","FirstName":"Polly","LastName":"Compston","Position":"","Organization":"Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":36,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The concept of decolonisation is complex and under-explored in animal health. We define decolonisation as an ongoing process that confronts and addresses negative influences driven by persistent historical imperial power structures. Recently scholars in global health, higher education and international development have increased their exploration of decolonisation. Decolonisation of established academic and professional practice has the potential to increase equity, equality and productivity.
Methods: In 2021 a group of animal health professionals met to discuss pathways towards decolonised animal health. Our analyses are structured around outputs from those conversations identifying where, and how, decolonisation can benefit our sector.
Results: The group identified agenda-setting of animal health initiatives from non-national actors as a structural enabler of power imbalance, acting through pathways established during colonial occupations. These asymmetries facilitate extractive research, benefiting researchers from the global north in preference to subjects of their enquiries and other professionals. Industrialised international animal health programmes reinforce foreign animal management and husbandry values and undermine indigenous knowledge and systems, further marginalising indigenous animal health professionals and owners. Animal agriculture is a key historical tool in exercising colonial power to disenfranchise particular communities; in sub-Saharan Africa distinctions between ‘improved’ cattle breeds from the global north and ‘local’ breeds risk framing communities as ‘progressive’ or ‘primitive'.
Conclusion: Decolonised practices are additive and inclusive. Change must be led from within our institutions through rethinking of veterinary curricula and research practices, and reconceptualisation of agriculture. We can learn from critical race and animal theories; humanities and social sciences will contribute to the imagining of future pathways. While power remains in veterinary institutes in the global north, most of the global animal health profession is left unheard. By valuing everybody’s contribution, our future will be not only more equitable, but result in significant advances in animal welfare and public health.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Polly Compston","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk factors for Antimicrobial use in British pig farms","PresentationBio":null,"Title":"Dr.","FirstName":"Sue","LastName":"Tongue","Position":"Senior Veterinary Epidemiologist","Organization":"Scotland's Rural College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":37,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Antimicrobial use (AMU) contributes to the development of antimicrobial resistance, which is a major threat for human and animal Health. This work aimed to identify risk factors for AMU in British pig production.

We studied the associations between AMU in British pig farms (total AMU per farm-year (mg/kg PCU)) and on-farm welfare measurements and carcass assessments (predictors). Data comprised the years 2015-2019. The association between each individual predictor and AMU was tested. A repeated measures mixed model to predict AMU was built using the risk factors that had been identified.

Factors that were individually associated with AMU were: year, farm type, county, vet practice, herd size, and several lesions recorded at slaughter (pneumonia, pleurisy, pleuropneumonia, lung abscesses, and liver milk spots). In the model, the group of risk factors that best predicted AMU were year, farm type, and the prevalence of pneumonia (EP-like lesions) at slaughter. Nursery-to-finisher herds and breeder-to-finisher herds had higher AMU than finisher-only herds.

Managing pig age groups in different locations (multi-site pig production) seems to be associated with a protective effect in terms of AMU and should be considered, where possible. Effective strategies for control of endemic diseases on-farm, (e.g. cleaning and disinfection and vaccination) are very likely to reduce AMU on British pig farms once they have led to prevention of infection, removing the need for treatment. Controlling or eliminating Mycoplasma hyopneumoniae could have a positive effect on the farm total annual AMU. Finally, controlling post-weaning disease is key to achieving further reduction in AMU in pig farms. With weaning being a very stressful time for the pig, the key to reducing the need for antibiotics is to minimise the stress through good stockperson skills, as well as ensuring that disease is identified early.

pigs, antimicrobial use, risk factors, post-weaning diarrhoea, respiratory disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Sue Tongue","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Supporting Livestock Keepers and Pastoralists During Humanitarian Emergencies ","PresentationBio":null,"Title":"Dr.","FirstName":"Shaina","LastName":"Craige","Position":"Science and Technology Policy Fellow","Organization":"American Association for the Advancement of Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":38,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"When livestock keepers are affected by disasters, it is important to save lives, reduce suffering, and save livelihoods by providing humanitarian assistance appropriate to the context of impacted pastoralists, agro-pastoralists, and smallholder farmers. This is increasingly important as conflict and climate change associated shocks such as droughts and floods more frequently and disproportionately affect livestock keepers in low- and middle-income countries. In FY2020, USAID’s Bureau for Humanitarian Assistance (BHA) responded to over 100 disasters in 84 countries and territories with $7.1 billion in funding. Using databases internal to BHA, we used descriptive statistics to review the types of livestock-related humanitarian assistance supported from 2018 through 2021.

The vast majority (75%) of the 680 livestock-related responses supported by BHA during that time were in Africa, with half (49%) concentrated in six countries: Sudan, South Sudan, Somalia, Nigeria, Yemen and Ethiopia. Of these, common interventions included water supply (59%), provision of livestock (23%), provision of feeds (22%), veterinary services (20%), capacity building for veterinary paraprofessionals (16%), provision of veterinary pharmaceuticals (12%), fisheries and aquaculture (11%), livestock structures (6%), and destocking (1%). While 18% were designed to improve child and maternal nutrition, the majority were to support livelihoods during the emergency and recovery phases. In terms of support to veterinary services, mass vaccination (40%) and mass treatment (21%) campaigns were the most widely supported interventions.

It is important for humanitarian livestock specialists to work closely with other sectors to ensure well designed and integrated interventions appropriate to livestock livelihood contexts For example, while water supply is the most frequent ‘livestock-related’ intervention, the humanitarian objective is most often to provide water for household consumption. In these multi-use contexts, it is up to livestock specialists to ensure that public health is protected and livestock needs are also met.

Keywords: Humanitarian Assistance, Livestock, Pastoralist, Animal Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Shaina Craige","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Date of birth and purchase price as foals or yearlings are associated with race performance in Thoroughbred flat racing","PresentationBio":null,"Title":"Mr.","FirstName":"Juan Carlos","LastName":"Arango Sabogal","Position":"Professor","Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/28295a70070c4023aa8bdb663a05b7e2","IsPresentingAuthor":false,"Order":39,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: To 1) assess the association between date of birth (DOB) and race performance by the end of the 2nd and 3rd year of life in Thoroughbreds racing in flat races in the United Kingdom (UK) and Ireland (IRE), and 2) determine if purchase price as a foal/yearling was associated with race performance.

Methods: In a retrospective cohort study, data on the entire 2014-2015 UK/IRE foal crops were analysed. Negative binomial and zero-inflated negative binomial models were built using directed acyclic graphs to assess the association between DOB and purchase price as foal/yearling, and their race performance by the end of the 2nd and 3rd year of life. The interaction between sex and DOB was explored in the models.

Results: In total 6,666 and 9,456 horses raced in UK/IRE flat racing by the end of their 2nd and 3rd year of life, respectively. Both, total prize money and prize money per start decreased by 3% with every day after January 1st of the corresponding year of birth (both β coefficient = -0.03; 95% CI:\t-0.04, -0.02; P < 0.001). Date of birth was not associated with total number of races by the end of the 2nd or 3rd year of life. Purchase price as foal and yearling was negatively associated with the number of races run, but positively associated with total prize money and prize money per start by the end of the 3rd year of life.

Conclusions: Foals born early in the season had higher earnings by the end of their 2nd and 3rd year of life than foals born later. Differences were more marked among males than females. The most expensive horses sold as foals or yearlings ran fewer races but earned more prize money and prize money per start than less expensive horses.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","a40f7453-5dfa-4c22-bf36-4e487526f525"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Juan Carlos Arango Sabogal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Trends on antimicrobial resistance in Rhodococcus equi and antimicrobial use in foals in Kentucky, US","PresentationBio":null,"Title":"Miss","FirstName":"Courtney","LastName":"Higgins","Position":"","Organization":"Auburn University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/24b1be0a629143babae8af0b1fe23068","IsPresentingAuthor":false,"Order":40,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Antimicrobial resistance (AMR) has become a major threat to the health of humans, animals, and the environment. One contributor to AMR is the prophylactic antimicrobial use (AMU) in animals. In the horse-breeding industry, antimicrobials have been used to prevent pneumonia in foals caused by Rhodococcus equi. Efforts have taken place to decrease AMU to mitigate AMR in horse-breeding farms since 2017. However, the impact of these efforts on the persistence of AMR on animals and the environment is unknown. The aim of this study was to determine the effect of AMU in foals over the last decade on AMR trends in R. equi clinical isolates.

Materials and Methods: AMU trends were determined by analyzing AMU data from questionnaires collected from 76 farms in 2017 (gathering data on AMU in foals from 2004-2017) and from 35 farms in 2021 (data from 2018-2021). AMR trends were determined by analyzing retrospective antimicrobial susceptibility testing results of R. equi isolated from foals between 1995-2020 from diagnostic laboratories in Kentucky.

Results: Preliminary analysis of AMR and AMU showed that macrolide use decreased since 2017, while overall AMU remained constant. AMR trends in R. equi isolated from foals increased for macrolides, tetracycline, gentamicin, sulfonamides, and rifampicin.

Conclusion: Despite decreasing the use of macrolides in foals, the trend in AMR in R. equi is increasing. This is likely due to the shift of AMU from macrolides to other antimicrobial classes, such as tetracyclines, in combination with rifampicin. It is known that the plasmids carrying both erm genes conferring macrolide resistance in R. equi also carry tetA and sul1 genes conferring resistance to tetracycline and sulfonamides. Therefore, the use of these antimicrobials has potentially contributed to the co-selection of multidrug-resistant isolates and to the failure of measures to mitigate AMR in R. equi.

Keywords: antimicrobials, resistance, one-health
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a40f7453-5dfa-4c22-bf36-4e487526f525","0c879798-e821-4cff-bf7e-791d4b78ec7f","43f42602-f380-4a8a-9da3-ce05b383dc09"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Courtney Higgins","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Portable solutions to Customized Computer Vision Models on Edge Devices – the Example of Detecting Digital dermatitis in Cattle","PresentationBio":null,"Title":"Mr.","FirstName":"Srikanth","LastName":"Aravamuthan","Position":"graduate student","Organization":"University of Wisconsin","PhotoUrl":null,"IsPresentingAuthor":false,"Order":41,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background, Objectives
Machine Learning and Artificial Intelligence are all around resulting in solutions to everyday tasks. Early automated detection of disease is one of the tasks that computer vision (CV) models can assist with, if well trained on meaningful image data sets and systematically evaluated for prediction performance. The challenge is to scale CV model deployments on portable edge devices, that function in environments challenged by heat, moisture and organic matter.
Digital dermatitis (DD), an endemic infectious claw disease affecting cattle around the globe, demands CV assisted early detection and prompt treatment of affected cattle to result in effective prevention and control measures.

Materials and Methods
Comparison of the prediction performance for multiple Edge devices, among which Raspberry Pi, Jetson Xavier NX, OAK devices (OAK-! And OAK-D-LITE), mobile phones and laptops, is achieved for SSDmobilenet, tiny-yolov4, tflite, and tensoRT models that detect 5 stages of DD: M0, M4H, M4P, M2 and M2P. Model performance is assessed using mAP and fps (frames per second). Comparisons are made visually by graphing the performance metrics and using Cohen’s kappa values computed to quantify the agreement between human investigator and the CV models.

Results
The different fps rates ranged from 5 fps for tiny-yolov4 on the Jeston Xavier NX to 40 fps for SSDmobilenet and object tracking models on the OAK-1 and OAK-D-LITE connected to Raspberry Pi 4B and zero. Implementation during a field trial is ongoing and kappa values will be generated. Kappa values are expected to be lowest for detection of M4H and highest for the detection of M2 and M2P stages of DD.

Conclusions
The portable devices and customized encasements implemented close to cattle, are water and dust resistant, while battery-driven and independent from WiFi, if necessary. Heat abatement of processors is feasible, resulting in devices functional in remote areas.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Srikanth Aravamuthan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Identification of new aquatic host species of the Avian Influenza Virus in Chile and determination of its interhemispheric gene flow ","PresentationBio":null,"Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Organization":"Universidad de Chile","PhotoUrl":null,"IsPresentingAuthor":false,"Order":42,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: avian-influenza, aquatic-birds, influenza, migratory-species, Chile

The naturals reservoir of IAV are wild aquatic birds, mainly those belonging to order Charadriiformes and Anseriformes. Despite of receive many migratory birds, only a few of species are recognized like reservoirs of IAV in Chile.
The aim of this study is to estimate new species of order Charadriiformes and non-Anseriformes and analized the flow of viral genes that could be spread by migratory-interhemispheric shorebirds or local movements.
Positive samples for IAV were perform by RNA extraction and real-time RT-PCR by Epidemiology Laboratory of Faculty of Veterinary Science, University of Chile. For the identification of the species were analized by Barcoding, using 648 base pairs of cytochrome c oxidase I (COI) mitocondrial gene. Two data base were used BOLD/BLAST to assign the species.
Of the 69 the process samples, 74% correspond to the most-common gull Larus dominicanus, in the second place with 10% we found Chroicephalus maculipennis. But the most remarkable result emerge from the data is that 2 species was found for the first-time host of influenza: Phoenicopterus chilensis and Lophonetta specularoides.
From the total of these samples we have determined 26 sequences, most prevalent H13N2 being all of them Larus dominicanus, except one Chroicocephalus maculipennis. In the case of Phoenicopterus chilensis the sequences was H7N3, and only one H5N3 was determined for a Larus dominicanus sample. The rest of the sequences are incomplete and continues its analyses in the Center of Excellence for Influenza Research and Response St. Jude Hospital.
These findings reinforces the importance of Charadriiformes order in the transmission and maintenance of the virus, and the case of Larus dominicanus their gregarious behavior makes it one of the most important hosts. Its very important continues searching more especies than can be involve in the emergence of a new pandemic strains.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","32b9e4fa-3def-4467-8cec-52826aa2104d","76c84259-9a28-4ba9-a370-db4b00031911","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"chris_hwest","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"chris_hwest","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://chris_hwest","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://chris_hwest","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Christopher Hamilton-West","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Case-control study of geographical risk factors for highly pathogenic avian influenza on chicken farms in Japan in 2020 to 2021","PresentationBio":null,"Title":"Dr.","FirstName":"Emi","LastName":"Yamaguchi","Position":"","Organization":"National Agriculture and Food Research Organization","PhotoUrl":null,"IsPresentingAuthor":false,"Order":43,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Outbreaks of highly pathogenic avian influenza (HPAI) virus subtype H5N8 were reported from 52 farms including 32 layers, 14 broilers, 4 breeders, and 2 duck farms in Japan from 2020 to 2021. A simulation-based case-control study was conducted to elucidate the geographical risk factors for HPAI infection in chicken farms.
Materials and methods
To identify the geographical characteristics of layer and broiler farms with HPAI case, matched case-control study was performed using 26 case farms (16 layers and 10 broilers). For the control farms, 1000 bootstrap sampling was performed for selecting up to 3 uninfected farms within a radius of 10km of each case farm. A conditional logistic regression model composed of geographical characteristics and flock size of the farms as explanatory variables was used for all combinations of case farms and 1000 bootstrap samples of control farms.
Results
Matched case-control analysis showed that a larger flock size, locating nearby waterbodies, and proximity to the poultry farms posed higher risk to be infected in layer farms. In broiler farms, locating nearby waterbody posed higher risk of infection.
Conclusion
Risk of HPAI infection was considered to be affected by flock size, and geographical characteristics of farms. Frequent access of farm staffs and instruments into premise in larger farms might lead to the higher risk. Migratory birds visiting waterbodies around farms are also possibly associated with infection risk. The results of this study will be valuable in strengthening biosecurity measures to prevent the virus invasion into farms with such conditions.

Keywords: Highly pathogenic avian influenza (HPAI), poultry farm, case-control study ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["502f57ff-3ea6-475b-858d-340ec3e1c6e4","6d2507a9-e756-4ab4-ae03-e679e391c7e6"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Emi Yamaguchi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemiology of West Nile virus in horses in Canada from 2003 to 2020: a look at the geographic distribution and vaccination coverage","PresentationBio":null,"Title":"Mr.","FirstName":"Antoine","LastName":"Levasseur","Position":"Student","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":44,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The objectives of the study were to describe the geographic distribution over time of cases of West Nile virus (WNV) in horses reported from 2003 to 2020 in Canada and to assess the regional association between the incidence of reported cases and WNV vaccination coverage.

Cases of WNV in horses included in this study were reported to the Canadian Food Inspection Agency (CFIA) between 2003 and 2020. Cases were defined as horses with compatible neurological signs and laboratory confirmation. Cases and horse population (based on the Census of Agriculture official numbers) data were localised by consolidated census subdivisions (CCS) and analyzed to assess geographic expansion. Provincial doses of equine WNV vaccine sold in Canada between 2016 and 2020 were shared by pharmaceutical companies. The vaccination coverage was calculated as the average annual doses sold by region over the 2016 horse population for the corresponding region and was compared to the average regional incidence rates.

Between 2003 and 2020, 848 WNV cases were reported to the CFIA. Preliminary analysis showed yearly geographical variations in affected CCS. The geographic trends will be presented. Preliminary results suggest a higher vaccination coverage in the eastern region than in the western region. In contrast, for the same period, the average incidence rate was lower in the eastern region (11.47 cases/100,000 horses) than in the western region (18.36 cases/100,000 horses).

This study is the first to describe WNV cases in horses in a Canada-wide multi-year perspective, to measure potential geographical expansion and to examine vaccination as a tool to prevent clinical disease on a nationwide scale. This research also highlights the challenges and impact of the availability of population data on descriptive epidemiologic studies.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a40f7453-5dfa-4c22-bf36-4e487526f525","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","43b008b2-8eab-460a-b708-b149b223981a","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Antoine Levasseur","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Pig farm vaccination against classical swine fever protects infection from wild boar","PresentationBio":null,"Title":"Dr.","FirstName":"Yoko","LastName":"Hayama","Position":"Senior Researcher","Organization":"National Institute of Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":46,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives
In 2018, classical swine fever (CSF) re-emerged in the Gifu Prefecture, central Japan, causing an ongoing outbreak among wild boars and pigs. To protect against infection from wild boar, compulsory vaccination for pig farms started in October 2019. This study aimed to evaluate the transmission risk from wild boars to pig farms, comparing pre-and post-vaccination periods.

2. Materials and methods
In the pre-vaccination period, epidemiological data in Gifu Prefecture from September 2018 to March 2019 were used, including 171 1-km grid-cells with wild boar infection and 13 infected and 34 uninfected farms. In the post-vaccination period, epidemiological data in Kanto and Kinki regions between October 2019 and April 2021 were used. In Kanto, 207 infected grid-cells and four infected and 416 uninfected farms were included, and in Kinki, 417 infected grid-cells and four infected and 112 uninfected farms. To reconstruct the transmission process from infected wild boar to a pig farm, transmission kernels were estimated by fitting the epidemiological data using the maximum-likelihood estimation.

3. Results
In the pre-vaccination period, the estimated kernel showed a higher probability of short-distance transmission from infected wild boar to pig farms. Transmission rates in the post-vaccination period were much lower than that in the pre-vaccination period; transmission rates in the pre-vaccination period decreased to almost 1% of that in the pre-vaccination period. When one infected grid-cell was detected within 1 km of a farm, the probability of infection within 300 days was almost 95% in the pre-vaccination period and less than 5% in the post-vaccination period.

4. Conclusion
Vaccination on pig farms effectively reduced the transmission risk from wild boar. However, considering the infection risk of weaning pigs unvaccinated on the farms, strict biosecurity measures and appropriate vaccination program are required to prevent CSF on pig farms.

keywords: CSF, wild boar, pig","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Yoko Hayama","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Impact of the fecal microbiome on subclinical Salmonella shedding in horses","PresentationBio":null,"Title":"Dr.","FirstName":"Emily","LastName":"Herring","Position":"Graduate Research Assistant","Organization":"University of Georgia","PhotoUrl":null,"IsPresentingAuthor":false,"Order":47,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Subclinical shedding of Salmonella in horses is more common than clinical disease and more likely to go undetected, posing a persistent biosecurity risk to equine facilities. Known risk factors for Salmonella positivity suggest that disruptions of the gastrointestinal microflora play a key role in initiating fecal Salmonella shedding; elucidating these microbial drivers is critical to developing targeted interventions to prevent transmission of Salmonella from subclinical horses. This study aimed to characterize the fecal taxonomic profile of horses with subclinical salmonellosis and correlate changes in Salmonella shedding status over time with shifts in the fecal microbiome.

Materials and methods: Six adult horses from a resident herd at a veterinary teaching hospital with fecal culture-confirmed subclinical salmonellosis were included. Samples from a prospective longitudinal study were selected for retrospective analysis. For each horse, serial Salmonella fecal cultures were performed weekly for 8 weeks. DNA was isolated from banked fecal samples (n = 48) and subjected to PCR amplification and 16S rRNA amplicon sequencing.

Results: Genus-level alpha diversity did not differ significantly over time or by Salmonella shedding status (linear mixed model ANOVA; P = 0.38, P = 0.14). Horses that resumed shedding Salmonella after ≥ 4 consecutive negative cultures (considered truly Salmonella-negative) experienced a simultaneous decrease in the relative abundance of Proteobacteria.

Conclusions: While microbial diversity of the fecal microbiome does not appear to drive fecal Salmonella shedding among subclinical horses, it is possible that a decrease in Proteobacteria creates an ecological niche that allows Salmonella to proliferate.

Keywords: equine, Salmonella, microbiome
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","8fc4d524-a96c-44ab-af7e-21be4a6db35f","a40f7453-5dfa-4c22-bf36-4e487526f525"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Emily Herring","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Coxiella burnetii shedding patterns on pregnant and post parturient ewes from Saint Kitts","PresentationBio":null,"Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7399650c1a0c4da0a3acc11bbbb5be70","IsPresentingAuthor":false,"Order":48,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"This study aimed to evaluate Coxiella burnetii occurrence and burden of shedding in pregnant (vaginal mucus and feces) and post parturient (vaginal mucus, feces and milk) meat ewes from Saint Kitts.

A cross-sectional study was conducted. Barbados Blackbelly ewes from the four biggest meat sheep flocks on the island were included in the study following a stratified sampling: pregnant ewes (n=96) and post-parturient ewes (n=91). Vaginal mucus, feces, and milk were subjected to a screening C. burnetii qPCR (IS1111 multi copy element) followed by a qPCR (single copy icd gene) for quantification shedding (DNA loads) on positive samples. For statistical analyses, Chi-square test (status comparison), McNemar test (route comparison) and Wilcoxon rank sum test (intensity of shedding) were used.

A total of 86.6% (162/187) of the animals shed C. burnetii by at least one route. No statistical difference was observed between pregnant (90.6%) and post parturient (82.4%) (p=0.2). However, shedding occurrence via vaginal and fecal routes was significantly higher in the pregnant ewes (74% and 65.9 %, respectively) compared to the post parturient (51.6% and 46.5%; p-value=0.003 and 0.01, respectively). There was no significant difference in the shedding burdens (median icd-copies/μL) between fecal (1.7), vaginal (2.0) or milk (1.0) routes, neither between pregnant and post-parturient (fecal or vaginal shedding). However, three post parturient were identified as super-spreaders via the fecal route, with a shedding over 290,000 icd-copies/μL.

High occurrence of C. burnetii shedding was detected within pregnant and post-parturient ewes in St. Kitts. Amounts of bacteria shed by vaginal, fecal and milk routes were similar, but with the observation of fecal super-spreaders. Our results are the first to detect shedding in pregnant meat sheep, and show a high risk of spreading of C. burnetii to other flocks and to humans.

Keywords:Q Fever, shedding, Caribbean, meat ewes","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3","1431029c-0cdf-4ff9-912e-8fee50ef8438","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Anne Conan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Expert consensus about effectiveness, ease of implementation, and economic feasibility of disease control strategies used to prevent infectious morbidity and mortality in pre-weaned beef calves ","PresentationBio":null,"Title":"Dr.","FirstName":"Virginia Margarita","LastName":"Sanguinetti","Position":"Graduate Student","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fad85480287b4bcb998cee9ec1112c5d","IsPresentingAuthor":false,"Order":48,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Bovine Respiratory Disease (BRD) and Neonatal Calf Diarrhea (NCD) negatively impact beef calf health. Disease control strategies are often implemented to prevent losses, but there is a gap in knowledge regarding their effectiveness, ease of implementation, and economic feasibility. Expert knowledge has been shown to be a valuable source of evidence given controversial or sparse findings; however, no study has before addressed this topic using this approach.

Objective: Describe consensus among experts regarding disease control strategies used to prevent BRD, NCD, and general mortality in pre-weaned beef calves.

Materials and methods: The modified Delphi method is a procedure used to convert personal opinions into group consensus. The preparatory phase comprises of conducting a systematic review of disease control strategies to be assessed, recruiting experts, and developing a questionnaire. For specific interventions, experts will be required to score the effectiveness, ease of implementation, and economic feasibility of practices for preventing clinical BRD, NCD, and general mortality, using a 6-point scale. Two rounds of questionnaires will be carried out, and feedback will be provided through reports of anonymized results. This iterative process will target consensus in a final workshop where participants will have the opportunity to disclose their opinions and discuss.

Results: The University of Calgary Conjoint Faculties Research Ethics Board has approved this study. A systematic review has been completed, the questionnaire developed, and potential experts selected to participate (i.e. five veterinary practitioners and five members of academia). Preliminary results are expected by the time of presentation.

Conclusion: The findings of this study will contribute to the development of a customized risk assessment tool that will aid in the decision-making process of disease control strategies to be applied on specific cow-calf operations.

Keywords: Delphi method, Bovine Respiratory Disease, Neonatal Calf Diarrhea, calf survival
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","0bb275db-dbe0-42d7-abe1-4ccfc61191ed"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Virginia Margarita Sanguinetti","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Investigating financial losses caused by ASF outbreaks on smallholder village households in Lao PDR","PresentationBio":null,"Title":"Ms.","FirstName":"Nina","LastName":"Matsumoto","Position":"PhD Candidate","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":49,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: African Swine Fever (ASF) is a deadly disease of pigs causing mass mortalities and severe herd losses in smallholder settings. The 2019 incursion of ASF into Lao People’s Democratic Republic (PDR) began amongst smallholder villages in the southern provinces of Salavan and Savannakhet. This study utilized outbreak investigation data and household-level financial data to estimate the financial burden of lost pigs caused by the July 2019 outbreak in two ASF-affected villages in the Thapangtong district of Savannakhet province.

Materials and methods: Lao Provincial and District Agriculture and Forestry Office (PAFO and DAFO) staff attended the ASF-affected villages of Densateung and Phouphanang-Khampia, alongside two unaffected but comparable villages in the same district. The PAFO and DAFO staff worked with n = 99 households to complete survey of 28 questions on smallholder knowledge, attitudes and practices regarding pig rearing and disease and the value of their herds. This was then combined with outbreak mortality data in a Monte-Carlo simulation over 10,000 iterations.

Results: In the ASF-affected villages, an average household herd size of 9 pigs died in the outbreak, with a mean herd value of USD 216.44, 95% CI (137.79 - 238.96). One outlier household owned 40 piglets and 4 sows, losing USD 3023.59. After Monte-Carlo simulation, the mean financial losses were estimated at USD 215.00, 95% CI (31.19 – 569.30) with SEM +/- USD 26.85.

Conclusions: This single ASF outbreak caused substantial financial losses at the household level amongst Lao smallholders. The data also demonstrated marked heterogeneity in herd size and value. Almost half of all households in Thapangtong district are affected by poverty, and financial losses at this scale present a significant threat to smallholder financial resilience and food security. ASF control in the region remains a priority for the protection of vulnerable populations against poverty.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","3c633f59-5da2-4213-a804-5e21f6f27422","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"nmatsu_epivet","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"nmatsu_epivet","GooglePlusUrl":null,"TwitterHandle":"nmatsu_epivet","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"nmatsu_epivet","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=nmatsu_epivet","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://nmatsu_epivet","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=nmatsu_epivet","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://nmatsu_epivet","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Nina Matsumoto","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessing the presence of spatial clustering of Lao African Swine Fever outbreaks in 2019","PresentationBio":null,"Title":"Ms.","FirstName":"Nina","LastName":"Matsumoto","Position":"PhD Candidate","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":50,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Spatial epidemiology, participatory epidemiology, African Swine Fever, Spatio-Temporal Permutation analysis

Objectives: In 2019 an outbreak of African Swine Fever (ASF) began in Lao People’s Democratic Republic (PDR). The epidemic spread across Laos causing severe losses, with particular impacts on vulnerable smallholder populations. By investigating the outbreak for spatiotemporal clustering, epidemiologists and policymakers can gain better understanding of the spread of ASF and future epizootics in the region.

Materials and methods: Spatial data were collected at the village level during a disease outbreak investigation in Thapangtong district of Savannakhet province, where ASF-affected villagers collaborated with Lao Department of Livestock and Fisheries staff to create maps of their villages, indicating the location of their pigs and resources such as watering points and forests with wild boar. National level data were collated from a list of all rt-PCR confirmed ASF outbreak reports between June-December 2019, matched to Lao Agricultural Census and DIVA-GIS Lao Gazeteer coordinate data. Due to the high probability of non-reporting bias, a spatio-temporal permutation cluster analysis identified unusually high numbers of cases in the absence of high quality control data.

Results: At the village level numerous significant multi-household clusters were present across the outbreak period in both the villages affected. Nationally there appeared to be three major groupings of village clusters in the South (early outbreak), Central (mid outbreak) and Northern (late outbreak) regions of Lao PDR, and all recorded village outbreaks occurred over the course of 188 days.

Conclusions: The village level data suggests that there is a spatial component to the spread of ASF among smallholder villager pigs, which should be accounted for in modelling. The national pattern of clustering suggests a trend of northward movement of ASF, which warrants further investigation of potential risk factors and regional pressures that may have facilitated this pattern of spread.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a424daba-5d1a-4f4a-9bf5-d16c5f51514c","3c633f59-5da2-4213-a804-5e21f6f27422","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"nmatsu_epivet","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"nmatsu_epivet","GooglePlusUrl":null,"TwitterHandle":"nmatsu_epivet","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"nmatsu_epivet","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=nmatsu_epivet","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://nmatsu_epivet","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=nmatsu_epivet","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://nmatsu_epivet","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Nina Matsumoto","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantitative insights in antimicrobial use in pigs in Europe","PresentationBio":null,"Title":"Mr.","FirstName":"Jeroen","LastName":"Dewulf","Position":"Professor","Organization":"Ghent University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1880a20fbeeb4682ada9298038dc145c","IsPresentingAuthor":false,"Order":53,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The goal of this study is to describe the current use of antimicrobials in the European pig industry based upon an extensive literature review.
Material and methods: An overview of results of national (n=15) and multicountry (n=2) crossectional and longitudinal (n=2) surveys that describe antimicrobial use in pigs is presented. Results are further linked to the outcome of the European Surveillance of Veterinary Antimicrobial Consumption (ESVAC) project.
Results and discussion: Overall it was found that weaned piglets received the most antimicrobials, followed by suckling piglets resulting in over 80% of the treatments being administered before the age of 10 weeks. Furthermore, it was observed that AMU was significantly associated across age categories, indicating that farms with high use in piglets also used more antimicrobials in their finishers. This may, among other things, be explained by farmers’ habits and behavior. But above all, the studies showed surprisingly large differences in AMU between the countries. These differences may be related to the differences in disease prevalence or differences in the level of biosecurity. However, they may also reflect variations in rules and regulations in the countries and/or a certain attitude towards AMU of farmers and veterinarians not necessarily linked to the true animal health situation. Furthermore, it was observed that already a substantial proportion of the European pig production is capable of raising pigs without any group treatments indicating that it is possible to rear pigs without systematic use of antimicrobials. Based upon the ESVAC data a decline in sales of antimicrobials for animals in Europe between 2011 and 2020 of 43.2% was observed. To enable efficient antimicrobial quantification and stewardship already 15 European countries have established systems for herd-level monitoring AMU in pigs.


Keywords: pig production – antimicrobial use – antimicrobial resistance –– quantification
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43f42602-f380-4a8a-9da3-ce05b383dc09","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"Jkdewulf","_facebookUrl":"Jeroen Dewulf","_linkedInUrl":"Jeroen Dewulf","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"Jkdewulf","FacebookUrl":"Jeroen Dewulf","LinkedInUrl":"Jeroen Dewulf","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=Jkdewulf","FullFacebookUrl":"http://Jeroen Dewulf","FullLinkedInUrl":"http://Jeroen Dewulf","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":4},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=Jkdewulf","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://Jeroen Dewulf","Font":"fab fa-facebook-square","Color":"#3b5998"},{"Link":"http://Jeroen Dewulf","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Jeroen Dewulf","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Investigating poultry trade patterns to improve disease surveillance: A cross-sectional study in Gujarat","PresentationBio":null,"Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7399650c1a0c4da0a3acc11bbbb5be70","IsPresentingAuthor":false,"Order":54,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Live bird trade is known to promote the spread of zoonotic pathogens. Although live bird shops (LBSs) are ubiquitous in India, poultry trading practices and their potential impact on disease risk are poorly understood. The objectives of this study were to characterise LBSs based on trading practices likely to increase disease risk, and to assess the connectivity between shops through live poultry trade.
A cross-sectional study was conducted in LBSs of Gujarat. LBSs were selected through multi-stage sampling. Eight cities were first purposively selected and, within each city, shops were identified using random spatial sampling. The standardised questionnaires focused on shop management characteristics, trading and hygiene practices, and details of their chicken suppliers. These suppliers were then contacted and asked about their trading practices. This procedure was repeated until the locations of supplying farms were identified.
A total of 72 shops were recruited. Preliminary descriptive analysis suggests a high heterogeneity in the scale of operations, with weekly sales ranging from 38 to 5,600 chickens. All shops reported to have unsold chickens at the end of the day, with the proportion of unsold chickens reaching up to 26%. The transport of chickens from farms to shops typically involves one (85.3%) or two intermediaries (10.3%). While each city obtained chickens only from one to four districts (out of the 33 districts of Gujarat), four districts supplied more than one city.
The described trade practices may promote pathogen amplification and persistence within LBSs in Gujarat. Moreover, the network shaped by poultry movements connect distant poultry populations, increasing the risk of pathogen spread in the region. Further investigation on risk pathways for disease transmission and identification of their geographical and socio-economic determinants are some of the next steps.

Keywords: Chicken, Live Bird Shop, Disease Risk, Production and Distribution Network, Network Analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","6d2507a9-e756-4ab4-ae03-e679e391c7e6","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","d12154ed-5a96-4eee-9b2d-d5985b20d3db"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Anne Conan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Effects of resistant starch on short chain fatty acids production and intestinal microbiota composition in weaned piglet969","PresentationBio":null,"Title":"Dr.","FirstName":"SeungWon","LastName":"Yi","Position":"Postdoctoral fellow, Ph.D.","Organization":"National Institute of Animal Science, Rural Development Administration","PhotoUrl":null,"IsPresentingAuthor":false,"Order":55,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Resistant starch (RS) is a dietary fiber resistant to digestion and absorption in small intestine, but fermented by intestinal microflora in the large intestine. In this process, short chain fatty acids (SCFAs) are formed, act as energy sources for intestinal bacteria, improving gut health. Hence, we aimed to evaluate the effect of RS on SCFAs production and intestinal microbiota composition in weaned piglets.

Materials and Methods: Fecal samples were collected from 10 castrated male weaned piglets (25-day-old, 7.16 ± 0.49 kg) fed with a corn/soybean-based control diet (CON, n = 2) and the diet supplemented with 5% RS (RS5, n = 4) or 10% RS (RS10, n = 4) for 21 days. The SCFAs concentration was determined using gas chromatography. The samples from 0 and 21 days post feeding (dpf) were analyzed by using 16S rRNA metagenomics after total genomic DNA extraction and library construction. The five phyla and 50 genera occupying over 0.5% of the reads in any of the three groups were used for further analysis.

Results: No significant differences between RS5/RS10 and CON in alpha diversity and microbiota composition at 0 and 21 day-post feeding (dpf). Nevertheless, the fecal SCFAs concentration significantly increase in RS5 and RS10; propionate (p < 0.001), isobutyrate (p < 0.001), butyrate (p = 0.003), isovalerate (p = 0.010), and valerate (p = 0.006) in RS10, and butyrate (p = 0.012), isovalerate (p = 0.030), and valerate (p = 0.007) in RS5, whereas only butyrate (p = 0.034) was upregulated in CON.

Conclusion: Feeding 10% RS to pigs altered microbiota composition and promoted the various SCFAs production. Therefore, 10% RS can be used as a potential feed additive to improve gut health and may prevent diarrhea in piglets during weaning period.

Keywords: Resistant starch; Piglet; Weaning; Intestine; Short fatty chain acids","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","d12154ed-5a96-4eee-9b2d-d5985b20d3db","cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. SeungWon Yi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Seeking Optimal Treatment Strategies in Salmonid Aquaculture","PresentationBio":null,"Title":"Mr.","FirstName":"Enrico Maria","LastName":"Trombetta","Position":"","Organization":"University of Glasgow","PhotoUrl":null,"IsPresentingAuthor":false,"Order":56,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Sea lice infestation represents a major barrier to the sustainability of salmonid aquaculture and, in the context of evolving resistance to treatment and environmental factors, treatment is highly regulated. We have developed a simulation model with the aim of investigating the complex economic-epidemiological-ecological interactions of sea lice, farmed and wild fish, and treatment decisions.

Objectives

We aim to determine how coordination and triggering of treatment alongside varying hydrological topology of farm connections affects the evolution of lice resistance, and thus optimise salmon quality within socio-economic and environmental constraints.

Materials and methods

We present a novel stochastic simulation of sea lice infestation including the lice life-cycle, genetic resistance to treatment, a wildlife reservoir, salmon growth and stocking practices in the context of infestation, and coordination of treatment between farms. Farms report infestation levels to a central organisation, and may then cooperate or not when coordinated treatment is triggered. Treatment practice then impacts the level of resistance in the surrounding sea lice population.

Our open-source model is freely available at https://github.com/resistance-modelling/slim

Results

Our simulation finds that treatment drives selection for resistance (Fig1a) and coordination between managers is key. We also find that position in the hydrologically-derived network of farms (e.g. Fig1b) can impact individual farm infestation levels and the topology of this network can impact overall infestation and resistance.

Conclusion

Network topology drives infestation levels in cages, treatments, and hence treatment-driven resistance. Thus farmer behaviour may be highly dependent on hydrologically position and local level of infestation.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3749e8e8f86b4fdfb0536dc0207797ed","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Enrico Maria Trombetta","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatial and movement network characteristics of British sports horses and the potential for pathogen spread","PresentationBio":null,"Title":"Dr.","FirstName":"Kelsey","LastName":"Spence","Position":"Assistant Professor","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fd526a79754946b3bba0c7811e241639","IsPresentingAuthor":false,"Order":58,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: To identify areas within Great Britain at highest risk of (i) local pathogen spread between racing and show venues due to spatio-temporal proximity and attendance; (ii) horse contact due to movement between venues and subsequent pathogen spread between disciplines.
Materials and methods: Publicly available 2018 British Horseracing Authority (BHA) and show attendance data were analysed. Spatial and network analysis techniques investigated risk of local and movement-related pathogen spread between disciplines. Kernel ratio maps identified regions with high venue densities. Kulldorff’s focal space-time scan statistic identified significant clusters of BHA and show venues attended within 1 and 3 days of one another. Network analysis identified connections between venues and venues acting as bridges between BHA and show venues.
Results: Highest venue density and highest risk clusters were in south-east England, and temporally significant (P<0.001) during the first half of the year (January-July). Connections between venues was approximately four times higher in summer (June-August) than winter (December-February). BHA and eventing networks had high density (0.96; 0.72) and clustering coefficients (0.96; 0.83), characteristic of small world networks. Dressage and endurance networks had weak densities (0.27; 0.34) but moderate clustering (0.55; 0.61), inclining toward scale-free topologies. Movements formed a single network for seven months (April-July, October-December). Three separate movement components were apparent in January-March and August-September: BHA, endurance, combined eventing-dressage. Two venues connected dressage-eventing and BHA components, and four venues connected the dressage-eventing and endurance components.
Conclusion: There appears to be a risk of pathogen transmission between BHA and other sport horse disciplines, particularly in SE England, and at several venues with direct connections between BHA and other disciplines. Risk-based surveillance and biosecurity practices should be implemented in these areas and venues. Analysis of leisure and other sports horse movement data will allow more detailed characterisation of equine contact networks in Great Britain.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","a40f7453-5dfa-4c22-bf36-4e487526f525","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kelsey Spence","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Co-occurrence of Sarcoptic Mange Lesions in Prince Edward Island Red Foxes (Vulpes vulpes) using Epidemiological Networking and Pattern Analysis Tools","PresentationBio":null,"Title":"Dr.","FirstName":"Kylee","LastName":"Graham","Position":"","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1c54588000f84c76837bff19dbe624ed","IsPresentingAuthor":false,"Order":59,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Sarcoptic mange, caused by the parasitic skin mite Sarcoptes scabiei, is a disease associated with pruritis, alopecia, crusting, and in severe cases, death. From 2016 to 2018, it was the most frequently-diagnosed cause of death in Prince Edward Island (PEI) red foxes, a previously naïve population. Though sarcoptic mange has been described in over 100 mammalian species, the factors that lead to outbreaks in wildlife populations, and the variability in species and individual disease presentation, progression and severity, are poorly understood.
Objectives: This study sought to uncover patterns of lesion presentation in individuals with sarcoptic mange in a naïve, insular, North American canid population through identifying groups of individuals based on co-occurrence of lesion distribution and severity.
Materials and methods: These data were collected through necropsy examination of 29 mange positive foxes obtained from fur trappers and opportunistic submission to the Canadian Wildlife Health Cooperative from 2019-2021. Severity and distribution of lesions were determined using modified lesion schemes on pictures of lesions, and both sketched and written necropsy descriptions. Cluster, network, and factor analyses were carried out in Stata to uncover lesion patterns and groups of individuals with like presentations based on co-occurrence data.
Results: Based on distribution and severity of lesions, three groups of like individuals were presented, potentially representing different stages in disease progression. As well, lesions identified as most likely to co-occur produced two main groups, a predominantly crusted and alopecic groups, that also suggested rare presenting lesions tend to co-occur.
Conclusion: This analysis provided potential presentation patterns and progressions of sarcoptic mange lesions in red foxes and helped uncover both differences within a naïve insular population and in comparison to endemic populations. These tools could be used for characterization of other emerging wildlife diseases where experimental studies are not feasible and disease presentations are unknown.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","76c84259-9a28-4ba9-a370-db4b00031911"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kylee Graham","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"KAP of Veterinary and Medical Practitioners on Dog-mediated Rabies","PresentationBio":null,"Title":"Dr.","FirstName":"Shivani","LastName":"Pradhan","Position":"Veterinary Officer","Organization":"Animal Husbandry And Veterinary Services, Government Of Sikkim","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1278cd0e33a84ffbb5a318c332cf94d5","IsPresentingAuthor":false,"Order":60,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"A KAP study was undertaken on dog-mediated rabies among veterinary and medical practitioners of government hospitals and private clinics, in and around Guwahati, Assam, India.
A non-interventional descriptive cross-sectional survey was conducted during February-June 2018 using a pre-validated pre-tested questionnaire via face-to-face and telephonic interview for a total of 75 medical and 55 veterinary practitioners.
Of these, 7 medical and 4 veterinary practitioners had undergone special training for management of bite wounds. Study revealed that all bite cases presented to the veterinary clinics were due to dogs, while it was 93.3% in medical hospitals. While 98.2% veterinary and 94.7% medical practitioners agreed that rabies spread through bite of an animal, all veterinarians agreed that rabies also spread through licks and scratches, but 16% medical practitioners disagreed. Regarding fatality after the development of clinical rabies, 87.3% veterinary and 56.0% medical practitioners agreed. While comparing the level of knowledge regarding prevention of rabies, the two groups were found to be at par with 89.1% veterinary and 86.7% medical practitioners. Regarding delivery of PEP as per WHO guidelines, 50.9% veterinarians delivered adequately, while 97.3% of the medical practitioners did not, and 2.7% gave no response to the query, implying an urgent intervention to meet the knowledge gaps in both the groups. Regarding availability of ARV and RIG in the veterinary dispensaries, 69.1% responded in the negative, while, 30.9% had provision for ARV only and 72% medical respondents had provision of ARV and 4% had both ARV and RIG. Regarding ARV PEP schedule, 92.7% veterinary and 80% medical practitioners had knowledge. The study on KAP regarding dog-mediated rabies revealed that average work experience(Mean±SE) of medical practitioners(15.77±1.35) was relatively lower than that of the veterinarians(21.53±1.57), p=0.01.
Lack of updated knowledge, vaccines and immunoglobulin were identified to be the major gaps.
Key words: KAP, PEP, ARV","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","1431029c-0cdf-4ff9-912e-8fee50ef8438","8fc4d524-a96c-44ab-af7e-21be4a6db35f","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Shivani Pradhan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Comparative analysis of the blood transcriptomes between the two age groups of dogs","PresentationBio":null,"Title":"Dr.","FirstName":"Kim","LastName":"Eunju","Position":"Veterinary researcher, D.V.M., Ph.D.","Organization":"National Institute Of Animal Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":61,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Blood is an important part of the immune system and the first line of the immune defense system. The blood contains many immune regulatory factors including microRNAs which regulate gene expression. In this study, we analyzed blood transcriptomes using high-throughput sequencing technologies to generate the data and the screen for differentially expressed genes in the test groups and control group.
Materials and Methods: We analyzed the blood transcriptome from the two groups of dogs which consists of eight eleven-years-old dogs (test group) and seven four-year-old dogs (control group) by using RNA-seq. We obtained a total of 21,801 genes and genes with zero count were excluded, leaving the 14,102 genes to be analyzed. Comparisons of transcriptome data revealed that 450 genes (p < 0.05) differentially expressed between the test and control groups.
Results: To observe the biological information of the highly expressed genes involved more clearly, we performed Gene Ontology (GO) analyses in the two groups of dogs. The results showed that regulation of the innate immune response and the response to virus were enriched in the test group. The genes related with positive regulation of cytokine production were less expressed in the test group compared to control group.
Conclusion: In this study, we explored the differences between the blood transcriptome of the two age groups of dogs. Functional classifications based on a GO analysis indicated that multiple biological processes related to the immune system enrich the innate immune response and the response to virus in the test group. We speculate that this response indicates the greater ability to resist some infectious diseases in the older dogs compare to younger dog. And it might also represent higher level of expression of the genes related to disease resistance after more frequent exposure to various pathogens and environments.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","c0c76c20-a7ea-4e61-af24-1ffb79f9f561","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kim Eunju","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"ASSESSING INTERVENTIONS BY USING DATA FROM THE 2001 FMD EPIDEMIC CURVE OF URUGUAY","PresentationBio":null,"Title":"Ms.","FirstName":"María Victoria","LastName":"Iriarte","Position":"Phd Student","Organization":"Wageningen University and Research","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fe4dd6a4fbb941a9b59a24ec589d998d","IsPresentingAuthor":false,"Order":62,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In 2001, a major FMD epidemic affected Uruguay. Between 24 and 30 April 2001, the control measures implemented were ban of animal and animal products movements, culling the sick and in contact FMD susceptible animals, biosecurity measures and emergency ring vaccination within a 10 km radius around outbreaks. On 1 May, stamping out was stopped and a mass vaccination of the entire cattle population was adopted on 5 May, with the second dose starting on 15 June.
The objective of this study was to assess the effectiveness of interventions by estimating the effective reproduction number (Re) during the course of the epidemic.
Herds were the unit of analysis. Simple log-linear models were used to estimate the growth and decay rates of the epidemic. Re was estimated taking into account the uncertainty around the serial interval distribution (discrete gamma distribution, mean 8.5 days, standard deviation 2 days).
The growth rate prior to the peak was 0.084 (95% CI 0.061 - 0.107), and the decay rate after the peak was -0.047 (95% CI -0.051 - -0.043). The R’s distribution estimated from these rates are showed in Figure 1.
Despite the fact that the Re started falling after implementing control measures once the first outbreak was detected, the goal to lower the Re to a value below 1 was only achieved on 19 May 2001, 14 days after starting mass vaccination.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/88f76a9f93d0495ab4f9b1df6383a2aa","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. María Victoria Iriarte","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Unravelling H9N2 and H5N1 avian influenza virus transmission along Bangladeshi poultry trading networks","PresentationBio":null,"Title":"Mr.","FirstName":"Lorcan","LastName":"Carnegie","Position":"PhD","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0bf81bc29a5544c791b089f3277f1c7f","IsPresentingAuthor":false,"Order":63,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Influenza A virus subtypes H9N2 and H5N1 are endemic in Bangladesh's poultry population, affecting poultry production and posing a zoonotic transmission risk. We aim to assess how the dissemination of these avian influenza viruses (AIVs) is shaped by the configuration of poultry production and distribution networks.

Materials and methods: We use phylodynamic approaches to investigate the spatial spread and transmission patterns of H9N2 and H5N1 viruses in Bangladesh’s poultry population, focusing on live-bird markets in the country’s two largest cities (Dhaka, Chattogram) and their respective supply networks.

Results: Molecular clock phylogenies reveal that whilst viral transmissions primarily occur between birds sold at the same major city, Dhaka and Chattogram sequences are often closely phylogenetically related. This apparent degree of “connectivity” between cities could either result from direct transmissions between locations or the same AIV lineages being introduced to each location from their catchment areas. We do not find strong evidence for long-duration, intra-market persistence of AIV lineages. Multiple, genetically diverse viral lineages of each subtype are often simultaneously present in live-bird markets within each city, likely indicating strong epidemiological connections between these markets, as suggested by the configuration of the trading network in which they are embedded. Phylogeny-trait correlation analyses imply that H9N2 viral transmissions are less frequent between the three different chicken types (broiler, sonali and deshi) sold in Chattogram than those sold in Dhaka, and discrete-trait analysis using generalized-linear-models indicate that the frequency of H9N2 transmissions between different chicken types in each city may be driven by degree of overlap between their catchment areas.

Conclusion: Overall, our study improves understanding of how AIV dispersal patterns vary within the poultry system. Our results can contribute to tailoring of surveillance and interventions to better account for local heterogeneity in AIV transmission.

Key Words: Avian Influenza, Bangladesh, Phylodynamics, H5N1, H9N2","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["502f57ff-3ea6-475b-858d-340ec3e1c6e4","6d2507a9-e756-4ab4-ae03-e679e391c7e6","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Lorcan Carnegie","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Coronavirus surveillance in wildlife in the UK","PresentationBio":null,"Title":"Dr.","FirstName":"Ruth","LastName":"Cox","Position":"","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":64,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Since the start of the SARS-CoV-2 pandemic, there have been several cases of human to animal transmission, including some instances of transmission to free living wildlife such as deer and mink, with other species likely to follow. Establishment of infection reservoirs in wild animals would create significant challenges to infection control in humans and pose a threat to the welfare and conservation status of wildlife. Identification of species that are infected, or are at high risk of infection, can inform disease surveillance and management strategies.
We collected samples (oropharyngeal swabs and/or blood) from a range of wildlife species in Great Britain. Sampling was opportunistic, occurring during the course of existing research or management activities. Species sampled included badgers, foxes, mink, stoats, squirrels, bats and deer. Samples were screened for the presence of SARS-CoV-2 RNA (swabs) and antibodies (sera). In addition a risk ranking tool was developed, to systematically rank wildlife species according to the risk of SARS-CoV-2 exposure, susceptibility, transmission and subsequent impact. The user-friendly Excel tool considered more than fifteen criteria to rank species and incorporated expert opinion where necessary.
To date no samples have tested positive, however sampling is ongoing. Results will be updated in real-time and will inform updates to the risk ranking tool. Species at risk of exposure include those in close contact with humans during management activities. Species that rank more highly for susceptibility include those that express the ACE2 receptor. Criteria that result in a high ranking for transmission include those that exhibit clinical signs and those where host distribution, abundance and social behaviour enable spread.
Opportunistic sampling, and risk ranking provide important tools to aid early detection, to inform future targeted surveillance and to synthesise information in a rapidly changing epidemiological setting.

Keywords: SARS-CoV-2, wildlife, risk ranking, surveillance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["76c84259-9a28-4ba9-a370-db4b00031911","7f76020c-d489-4456-9d83-b398a3eb966f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ruth Cox","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The process of creating a new veterinary curriculum in 6 months’ time","PresentationBio":null,"Title":"Dr.","FirstName":"Johanna","LastName":"Penell","Position":"Dean of Education, Faculty of Veterinary Medicine and Animal Science","Organization":"Swedish University Of Agricultural Sciences","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b2989ba549154ee5b5c8ce2e15554544","IsPresentingAuthor":false,"Order":65,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The Swedish University of Agricultural Sciences (SLU) received in December 2021 an assignment from the government to increase the intake of veterinary students. The current curriculum cannot fit the target intake, thus a new curriculum needs to be created and decided upon in May 2022 to adhere to national and university regulations for the launch in August 2023. The objective is to describe the process of creating a new veterinary curriculum in a very speedily manner.
Material and methods: Description of the process of creating a new curriculum that i) can accommodate a 45% higher student intake, ii) improve the study social environment and teaching and learning experience for both students and teachers, and iii) fulfill the requirements for European accreditation and national regulations for veterinary education.
Results: A steering committee chaired by the deputy vice chancellor leads the project. The operative work is delegated to the project leader who coordinates a project lead group and numerous satellite groups working through each part of the project. The process includes identification of bottleneck factors such as available teaching animals and facilities for clinical/practical teaching. Furthermore, development of teaching delivery methods, assessments, and professional skills are specific focus areas. Development of the teaching done in some key infrastructural units such as the university animal hospital, the ambulatory clinic and the on-site ruminant clinic will be necessary to ensure fit-for-purpose teaching and learning environments for the larger cohorts. Other areas of importance are competence planning and student involvement - student representatives are involved in all project groups.
Conclusions: We will present the process of creating the new veterinary curriculum in Sweden, highlighting key experiences and main challenges, and suggest recommendations for future curriculum development projects.
Key words: Curriculum, veterinary program, education, student learning, sustainable teaching and learning environment
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["cb344d68-5710-46be-a916-dd122f96ab66"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Johanna Penell","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A large scale, long term study of the impact of disturbance on behaviour and disease dynamics in a wild badger population. ","PresentationBio":null,"Title":"Dr.","FirstName":"Ruth","LastName":"Cox","Position":"","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":66,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Badgers are involved in the transmission of Mycobacterium bovis, the causative agent of bovine tuberculosis (TB), to cattle in the UK. They have been culled under license since 2013 in parts of England in an attempt to reduce risks to cattle. However, culls have been linked to negative effects on TB in both species because of the enhanced movement of surviving badgers, which may give rise to opportunities for disease spread amongst badgers and to cattle. However, there is a lack of detailed information about the behavioural and demographic processes that drive disease dynamics in badger populations during and after such disturbance. Understanding the responses of badger populations to disturbance could inform the development of more effective long-term disease management strategies.

At Woodchester Park, SW England, a long-term study of badgers, ongoing since the 1970s, has generated a database of unrivalled detail on individual life-histories, including their TB status. In 2018 a badger cull began in the vicinity of the study area and since then data has been collected to assess the responses of this population.

Bespoke radio/GPS/proximity collars have been deployed on >50 badgers to collect data on badger movements. The GPS automatically records the badger position eight times per night, while the proximity feature records the length of time an animal contacts another collared animal. Collars have recorded up to 3000 contacts and up to 1400 locations per badger per year. On completion of data collection in spring 2022, analysis will enable us to determine how disturbance has impacted badger movement distance, contact rates and subsequent disease dynamics.

This intensive epidemiological study contributes to our understanding of disease spread in a socially structured wildlife population and enables us to address policy relevant knowledge gaps about disease management.

Keywords: wildlife, disease dynamics, population disturbance, bovine tuberculosis, badger
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["76c84259-9a28-4ba9-a370-db4b00031911","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ruth Cox","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A controlled field experiment to explain amplification of avian influenza viruses along poultry marketing chains in Bangladesh","PresentationBio":null,"Title":"Ms","FirstName":"Lisa","LastName":"Kohnle","Position":"Scientific Officer","Organization":"EFSA","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/aea8393dd5b64871b77d7a11a2b23c9c","IsPresentingAuthor":false,"Order":67,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Although avian influenza viruses (AIVs) are highly prevalent in Bangladesh's live bird markets (LBMs), they are rarely detected in poultry farms. This study aimed to identify the stage of poultry marketing chains at which viral amplification occurs.
We implemented a controlled field experiment to assess whether reducing the risk of infection for chickens during transport and trade decreases their likelihood of shedding AIVs in LBMs. In Chattogram, Bangladesh, 64 batches of 10 chickens (340 backyard and 300 broiler chickens) were caged together in market stalls and followed over a period of 84 hours. For each batch, 5 chickens were purchased from farmers and subject to stringent biosecurity measures during storage and transport (intervention group), while another 5 chickens were purchased from traders and underwent conventional marketing chains (control group). We collected oropharyngeal swabs from chickens upon arrival at the LBM as well as 12, 36 and 84 hours later. Conditional logistic regression and discrete-time proportional hazard models were developed to analyse RT-qPCR results.
The effect of the intervention on the proportion of chickens shedding AIVs was only subtle upon arrival at the LBM but significant at the following time points. Backyard chickens subject to the intervention had lower odds of testing positive after 12 (OR=0.26[0.06-1.03, P=0.05) and 84 hours (OR=0.29[0.16-0.51], P<0.001). The similar was observed after 12 hours (OR=0.42[0.20-0.87], P=0.02) for backyard chickens, of which more than 99% were already shedding after 36 hours. Overall, transmission and infection events occured at a slower rate for backyard chickens (HR=0.09, P<0.001).
This study indicates that a substantial proportion of viral shedding in Bangladesh's LBMs results from infection of chickens during transport and trade. We demonstrate that interventions targeting the collection and dissemination of chickens along marketing chains are needed to reduce the prevalence of AIVs in LBMs.

Keywords: avian influenza, shedding, intervention","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["502f57ff-3ea6-475b-858d-340ec3e1c6e4","6d2507a9-e756-4ab4-ae03-e679e391c7e6","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms Lisa Kohnle","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Describing dairy producers’ perceptions towards antimicrobial use and animal welfare in Atlantic Canada","PresentationBio":null,"Title":"Dr.","FirstName":"Mariana","LastName":"Fonseca","Position":"PhD Student","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/70c188ca008a484fafb266716cef35a8","IsPresentingAuthor":false,"Order":68,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Antimicrobial use (AMU) is recognized as the main driver for antimicrobial resistance development. However, there is debate as to whether AMU contributes to better or worse welfare of dairy cattle. Although there is likely a link between AMU and welfare, there is no research to our knowledge assessing producer perspectives of this relationship.
The objective of this study was to describe dairy producers' definition of animal welfare (AW) and its relationship to AMU.
Material and Methods
An electronic questionnaire was distributed to dairy producers in Atlantic Canada. As part of a larger survey, three questions were asked: 1) did the producer think there was a relationship between AW and AMU; 2) how would the producer define AW, and 3) what was the producer’s perceived relationship between AW and AMU. The latter two questions were open-ended and responses were analyzed using thematic analysis to inductively identify patterns in the data.
Results
A total of 38 farmers answered the three questions. Most (94.7%) of the participants answered that there was a relationship between AW and AMU. The words used most frequently to define AW are illustrated in Figure 1. Two main themes were identified in the third question: some producers believed that prevention measures that improve AW are essential to avoid using antimicrobials, while others indicated that AMU is necessary to restore AW.
Conclusions
Producer perceptions about the link between AMU and AW varied, but almost all saw a link between the two. These findings are helpful to identify possible barriers encountered by producers to reducing AMU without negatively impacting AW.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2fa4af7f55754190bde4ae56de649336","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["19e01dc9-22cb-4850-9e42-985898b24c36","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Mariana Fonseca","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Temporal stability and risk factors for PRRSV spread in dynamic swine movement networks in the U.S.","PresentationBio":null,"Title":"Mrs.","FirstName":"Kimberly","LastName":"Vanderwaal","Position":"Associate Professor","Organization":"University of Minnesota","PhotoUrl":null,"IsPresentingAuthor":false,"Order":69,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Multi-site pig production in North America is characterized by dynamic farm contacts through animal movements which shape the risk and spread of Porcine Reproductive and Respiratory Syndrome virus type 2 (PRRSV2). Inferences from social network analysis (SNA) can inform the implementation of disease management strategies targeting highly connected farms.
We investigated the spread of a virulent sub-lineage of PRRSV2 (sub-lineage 1A [L1A]) and the temporal stability of pig movement networks in the US swine industry to estimate the contribution of animal movements to PRRSV2 spread and understand the structure of these dynamic networks.
Using temporal network autocorrelation modelling and SNA, we analyzed 282,807 animal movements from 2,724 farms and 1,761 PRRSV2 ORF5 sequences linked to 494 farms belonging to two production systems in a dense pig production area in the US, between 2014-17.
Networks stabilized after aggregating six months of movement data and using two-years-old data to identify target farms was as effective as using current data where simulated network fragmentation through vaccinating 10-15% of highly connected farms disrupted disease transmission. Conversely, random vaccination needed to include about 60% of the farms to achieve similar impact.
Primary and secondary farm contacts (2 steps away) of an L1A- positive farm increased the risk of PRRSV2 occurrence by 19 % and 23% (p <0.05), respectively. Additionally, vaccination on sow farms was associated with a 36% decrease in the risk of PRRSV2 occurrence in downstream farms (p=0.04).
Targeted disease management interventions, on superspreader farms identified from the six-month networks, can be reliably implemented to minimize disease spread with minimal stochastic variations in the networks. Using historical network data ≤ 24 months old is better for targeted intervention than random intervention. Additionally, vaccinations on sow farms have a carry-over effect on L1A occurrence in downstream farms.

Keywords: Outbreak risk; historical animal movements; Time-varying exposure
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Kimberly Vanderwaal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling of canine rabies transmission and vaccination in five villages of Cambodia using agent-base models","PresentationBio":null,"Title":"Dr.","FirstName":"Jerome","LastName":"Baron","Position":"Epidemiologist","Organization":"National Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":71,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background and objectives: Rabies is endemic in Cambodia where the transmission chained is maintained in free-roaming owned dogs. Due to the current lack of national vaccination program, there is a need to inform authorities on the best strategies for implementation. Recent pilot vaccination campaigns have surveyed the canine population of several Cambodian villages and collected detailed demographic information. We aimed to model the impact of population turnover on vaccination coverage and the effectiveness of different levels of annual vaccination drives on rabies transmission using locally specific dog demography data.

Methods: We used demographic and spatial data from pilot dog vaccination campaigns to parametrize and construct a spatially explicit agent-based model in five villages of Kandal Province, Cambodia. Infection parameters were sourced from the literature, with reported basic reproduction number (R0) values used to calibrate key transmission parameters, including probability and distance of infectious contact. Calibration was accomplished through 48,000 simulations testing a range of parameter values with a target R0 between 1 and 2. Another 75,000 simulations were used to test various vaccination coverage scenarios within this R0 range.

Results: We observed a 40% reduction in vaccination coverage one year after vaccination. Annual vaccination with a target coverage of 70% maintained the average coverage over six years at 65% and reduced the mean R0 under one in every infection scenario. However, 8% of simulations led to outbreaks of 10 dogs or more in higher R0 scenarios. A target coverage of 90% reduced the number of outbreaks of 10 dogs or more to below 1% of simulations with the same scenarios.

Conclusion: We provide evidence that dogs need to be vaccinated annually due to the impact of rapid population turnover, and that annual vaccination coverage should be at least 70% of the whole dog population to control rabies in this setting.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","512e7a65-c837-49ce-8f06-827e25887293","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jerome Baron","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modelling foot-and-mouth disease in Canada (CanDIS-FMD)","PresentationBio":null,"Title":"Dr.","FirstName":"Nancy","LastName":"deWith","Position":"Senior Veterinary Science Specialist","Organization":"Canadian Food Inspection Agency","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2c07d3103d7e4ef5bb6fc4ebde741962","IsPresentingAuthor":false,"Order":72,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Effective emergency planning, preparedness, and response is key to successfully responding to an animal disease incursion. Animal disease spread models provide one means to support outbreak planning. An existing foot-and-mouth disease (FMD) model framework, the Australian Animal Disease Spread model (AADIS) is being adapted for use in Canada (CanDIS-FMD). Using data about the Canadian livestock populations, geography, weather, animal movements, and disease control measures, CanDIS-FMD modelling results will be used to evaluate FMD contingency plans and the impact of control measures for the purposes of improving preparedness for emergencies.
Methods: The model inputs were developed using a collaborative approach with expertise from provincial and industry experts. The model schema includes 1) six livestock regions based on a combination of eco-zone, administrative boundaries and industry organization; 2) a synthetic farm dataset of 100,301 premises created using publicly available agriculture data and land use maps; 4) nine herd types representing 27,276,351 animals; 5) animal movement data; 6) indirect contact data; and 7) weather data from 8,319 weather stations located across Canada for modelling conditions suitable for FMD virus persistence and wind-borne disease spread. Disease control measures are consistent with the Canadian Food Inspection Agency’s emergency response plans.
Results: CanDIS-FMD is an individual-based model that can simulate the introduction of FMD virus into any susceptible Canadian herd at any time of the year. FMD may spread through live animal movements between farms, through sale yards, indirect contacts, local spread between adjoining premises and aerosol plumes. The model captures spatial and temporal heterogeneities in livestock production systems, marketing systems, and the environment. Simulated control measures are resource-constrained and costed.
Conclusion: CanDIS-FMD is a sophisticated support tool that can explore the risk of FMD establishment and spread; evaluate control approaches in terms of effectiveness and costs; and management of resources such as personnel.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","84b4edb4-71ea-4d85-9aa9-c6aaea9282ae","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Nancy deWith","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Twelve years of epidemiological analysis of African swine fever in the European Union and neighboring countries: recommendations for wild boar management.","PresentationBio":null,"Title":"Mrs.","FirstName":"Sofie","LastName":"Dhollander","Position":"Senior Scientific Officer","Organization":"European Food Safety Authority","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9cff58612b2e4bee9e97fa7cfb765a4c","IsPresentingAuthor":false,"Order":73,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Since African swine fever (ASF) virus Genotype-II entered Europe in 2007, the control of the disease in Eurasian wild boar (Sus scrofa) has been challenging, as shown by the slow but ongoing spread of the disease in the population over the past years. This study summarizes the knowledge on ASF prevention and control measures in wild boar populations based on scientific evidence gathered by EFSA over 12 years.
Methodology
Since 2010, EFSA has been mandated by the European Commission to collaborate with the ASF-affected countries in - and neighboring the EU, to provide scientific advice on prevention and control of the disease in wild boar. This resulted in 45 scientific outputs based on systematic reviews, surveillance data submitted by the affected countries and epidemiological models to evaluate the efficacy of specific measures to control the spread of the disease in wild boar populations and to understand the factors related ro risk of spill over to domestic pigs.
Results
The principles of the control measures in wild boar are similar to those in domestic pigs and are based on restriction of animal movements and culling infectious and susceptible animals to avoid further spread. However, there are nuances depending on: 1) the vicinity to the affected area (far away, neighboring or inside); 2) the type of ASF-virus introduction (focal, human-mediated introduction versus adjacent spread) and 3) the time passed since the index case (early detection versus endemic status). For each of the different combinations, recommendations have been developed for the prevention and control of ASF in wild boar.
Conclusions
Data on ASF surveillance submitted to EFSA by affected countries used to test the results of epidemiological models were an essential component to develop recommendations. More knowledge could be generated through further harmonizing trans-boundary data collection on susceptible populations and ASF surveillance.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Sofie Dhollander","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modeling the Ontario swine production flow to prepare for possible outbreaks of contagious diseases","PresentationBio":null,"Title":"Dr.","FirstName":"Maggie","LastName":"Henry","Position":"","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/69984d83026e456aa3aacff3deb41565","IsPresentingAuthor":false,"Order":74,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The SARS-CoV2 pandemic caused closures of swine packing plants and inconsistent labour availability, resulting in severe disruption to swine operations. These disruptions highlighted the sensitivity of swine flow to disturbances of human disease and created questions concerning the robustness of the Ontario and Canadian swine production system in the event of a foreign animal disease. A model was created to explore how to mitigate flow disruptions should another contagious disease emerge in human or swine populations in Canada.
Materials and Methods: Anylogic software was used to create a Ontario swine production flow system, using process modeling. All production stages are included from open sows to finishing pigs, and an abattoir flow with pork cuts terminates the model. Mitigation measures to reduce swine flow will be introduced to determine the impact of meat processing as well as numbers of animals that would be necessary to cull or diverge from the current system.
Results: The model begins with open sows, then, after confirmation of pregnancy, sows and their future progeny, flow through the model. Each stage of production has corresponding delay blocks; each representing one week in the life of the pig. An abattoir system, and the specific pork cuts are modeled to demonstrate the pork output in the current environment and hypothetical situations where export countries’ borders are closed to Canadian pork.
Conclusions: The model will allow hypothetical situations to be investigated in a risk-free environment. Once developed, the system could be used for situations due to contagious diseases in human populations, or emergence of a foreign animal disease in pigs. Both scenarios could result in severe disruptions of pork marketing, with implications for animal health and welfare, profitability of individual farms, livelihood of producers, and the social fabric of many rural communities in Ontario.

Keywords: modeling, swine flow, disruptions


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["5178adf1-eaeb-4d5b-8fce-b18677488f5a","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Maggie Henry","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The effect of limiting cross-fostering on influenza A transmission in the farrowing room of breeding swine herds","PresentationBio":null,"Title":"Dr.","FirstName":"Juan","LastName":"Sanhueza","Position":"Assistant Professor","Organization":"Universidad Catolica De Temuco","PhotoUrl":null,"IsPresentingAuthor":false,"Order":75,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To assess the effect of limiting cross-fostering activities in the farrowing room on influenza A transmission among pigs
Materials and methods: A field trial will be carried out at three swine breeding herds with PCR evidence of Influenza A circulation. Within each herd, two farrowing rooms will be randomly selected. On one of these rooms, pig movement among litters will be restricted after 24 hours from farrowing. In addition, farm workers will be instructed to change gloves and disinfect instruments when handling pigs from different litters. The other farrowing room will serve as control where no restriction on pig movement will be implemented. In each room, 15 litters will be randomly selected and all pigs within the litter will be sampled using nasal swabs at eight, thirteen and eighteen days of age. Samples will be sent to the veterinary epidemiology laboratory, Universidad de Chile.
Results: The study is fully funded and will be carried out on between March and June 2022. Results of the study will be presented at the conference.
Conclusion: The results of this study will inform veterinarians and pork producers about the role of pig movement among litters after the first 24 hours of age on influenza A transmission in the farrowing room. The benefits and cons of this type of intervention will allow swine veterinarians to advise producers on the control of IAV in breeding herds.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Juan Sanhueza","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Network analysis of live pig movements in the Republic of North Macedonia: pathways for disease spread ","PresentationBio":null,"Title":"Dr.","FirstName":"Kathleen","LastName":"O'Hara","Position":"Post-doctoral Scholar","Organization":"UC Davis","PhotoUrl":null,"IsPresentingAuthor":false,"Order":76,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives:
Globalization of trade, and the interconnectivity of animal production systems, continues to challenge efforts to control disease. A better understanding of trade networks supports development of more effective strategies for mitigation of transboundary animal diseases such as African swine fever (ASF). The Republic of North Macedonia reported its first cases of ASF in January 2022. This study aimed to describe the distribution of pigs and pig farms in North Macedonia, and to characterize the live pig movement network, informing areas of highest disease introduction risk and pathways for disease transmission through the movement of live animals.
Materials and Methods:
National pig census data from 2016-2020 was obtained from the Food and Veterinary Agency. Official live pig movement permit data for 2017-2019 was used to perform a national level social network analysis. Due to the high turnover of smallholder farms, each year was analyzed separately. Network parameters and node level characteristics were described using centrality measures, community detection, mapping and Jaccard index.
Results:
Network analyses consistently described weakly connected components with a few primary hubs that most nodes shipped to. Fragmentation of the network was observed in 2019, with a marked decrease in betweenness and increase in communities. Most shipments occurred within 50 km, with movements less than 6 km being the most common (22.5%). Nodes with the highest indegree and outdegree were consistent across years, despite a large turnover among smallholder farms. Movements to slaughter predominated (85.6%), with movements between farms (5.4%) and movements to market (5.8%) playing a lesser role.
Conclusions:
This description of North Macedonia’s live pig movement network should enable implementation of more efficient and cost-effective mitigation strategies in country, and inform targeted educational outreach, and provide data for future disease modeling, in the region.
Keywords: social network analysis, Republic of North Macedonia, transboundary animal disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kathleen O'Hara","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Seroprevalence and associated factors of trichinellosis in indigenous pigs and rural communities in Northern Vietnam","PresentationBio":null,"Title":"Mr.","FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/74bccc4b9d3746a7a87827e3adb83e18","IsPresentingAuthor":false,"Order":77,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The study aim was to identify seroprevalence of trichinellosis and associated factors of both indigenous pigs and humans in Northern communities in Vietnam.
Materials and methods: A cross-sectional study was conducted in 2021 in ten communes in Bac Yen district (Son La province) and Bat Xat district (Lao Cai provinces). A total of 1,000 serum samples (500 indigenous pigs and 500 community participants) was collected and tested using a commercial ELISA test kit (Priocheck, ThermoFisher). Structure questionnaires were also used to interview selected pig owners and sampled community members regarding pig raising practice, eating behavior and disease knowledge and prevention.
Results: The result shows that seroprevalence of trichinellosis in indigenous pigs and humans were 9.0% (45/500, 95%CI: 6.7-11.9) and 13.4% (67/500, 95%CI: 10.6-16.8), respectively. Trichinella seroprevalence in human was significantly higher in Son La (16.7%) compared to in Lao Cai (8.5%), but not for seroprevalence in pigs. Factors associated with trichinellosis seroprevalence in human were raising pigs’ activities (p=0.029, Fisher test) and eating raw vegetable behavior (p=0.007, Chi-square test). While factors associated with trichinellosis seroprevalence in pigs were farmer’s knowledge about trichinellosis (p=0.033, Chi-squared test).
Conclusion: Seroprevalence in both pigs and humans in northern Vietnam were relatively high, especially in the endemic province, which suggested the possibility of Trichinella spp. circulation in the community and indigenous pigs. Animal and public health awareness for the northern communities and pig farmers, i.e., using One health approach, are necessary to improve prevention and control this disease.
Keywords: Trichinellosis, Pork-borne zoonosis, Parasite, Indigenous pigs, Northern Vietnam
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","8fc4d524-a96c-44ab-af7e-21be4a6db35f","df5d618c-3702-4d9c-95b6-0ad39c8b6184","e38fdbff-06ce-4925-a92e-8faaaf3278a6","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"[email protected]","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"[email protected]","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"http://[email protected]","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://[email protected]","Font":"fab fa-facebook-square","Color":"#3b5998"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Fred Unger","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Longitudinal extraction of important outcomes from electronic patient records of cats with chronic kidney disease","PresentationBio":null,"Title":"Dr.","FirstName":"Marnie","LastName":"Brennan","Position":"Associate Professor In Epidemiology","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":78,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective:
Chronic kidney disease (CKD) is a common condition of geriatric cats. A prioritised core set of outcomes for feline CKD treatment trials was recently established by stakeholders. In the current study, clinical histories from electronic patient records (EPRs) were examined to extract core outcomes to ascertain the usefulness of EPRs as a future clinical trials data source.

Materials and methods:
Six months of EPRs for all patients at 282 UK practices, including free text clinical notes and predefined fields (e.g. breed) were exported and de-identified. Feline CKD cases were identified through key and partial terms in clinical notes. Cohort demographics and survival time were extracted. A sample of cases were identified to assess bodyweight and blood pressure measurements over time.

Results:
The dataset contained EPRs from 139,831 cats, of which 3,923 (2.8%) were identified with CKD. The median age at death for these patients was 15 (IQR 12-17). Cats with ongoing CKD were weighed infrequently; from an average 6.6 consultations, cats were weighed an average 2.3 times across the study period. Blood pressure measurements were taken from 306 cats; nine of these had measurements recorded on four or more dates. Multiple bodyweights from a small sample of cats with CKD were compared to their own average bodyweight longitudinally. Most cats who died decreased in bodyweight before death by 26-62% of their average weight. Overall variation in each cat’s bodyweight compared to their average identified a greater variation in cats who died (65-130%), than in cats who outlived the study period (85-115%).

Conclusion:
Feline CKD patients can be identified within EPRs and important outcomes tracked longitudinally; these methods could inform prospective data extraction for trials. Future work could evaluate the potential of graduated bodyweight loss as a prognostic indicator for CKD.

Keywords:
Cats, Chronic Kidney Disease, CKD, Clinical Notes, Trials","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","df5d618c-3702-4d9c-95b6-0ad39c8b6184","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a","21c6493c-d758-4b04-ada0-31630a7d6827"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Marnie Brennan","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The risk of disease introduction in breeding herds in Quebec, Canada: what about the visitors entering the units and the biosecurity at the entrance?","PresentationBio":null,"Title":"Miss","FirstName":"Marie-Eve","LastName":"Lambert","Position":null,"Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":79,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The objectives of the current study were to describe the visitor contacts with swine breeding units over a one-month period and to evaluate the association between the number of contacts and biosecurity practices.

Materials and methods
As part of a larger project, breeding sites having had a porcine reproductive and respiratory syndrome virus introduction between August 1, 2014 and July 31, 2017 were selected. Data on accesses to the unit by visitors and associated biosecurity practices were collected using a questionnaire and logbooks. The percentage of sites visited by different categories of visitors and the number of contacts defined as the number of entries in units by visitors over the one-month period were calculated. The associations between the median number of contacts and specific biosecurity practices at the entrance were evaluated using Wilcoxon rank sum tests.

Results
The 84 sites investigated had a 675 median sow inventory. Most were farrow-to-wean (74%) and half of them were from an integrated swine production system. A total of 73 (87%) sites received visitors. The median (Q1-Q3) and maximum number of distinct visitors was 3 (1-5) and 13, respectively. The percentages of sites visited by different categories of visitors were: technical services (73%), maintenance (51%), exterminator (48%), veterinarian (29%), teaching/training/research (14%), washing unit teams (12%), inspection/certification (8%) and others (8%). A higher number of contacts was observed for sites with larger sow inventory or from integrated production systems. Sites with >5 visitor contacts had better biosecurity at the entrance (main door looked, signed logbook, shower-in or delimited entrance with washing hands and changing coveralls and boots).

Conclusion
Biosecurity needs to be applied meticulously considering the significant traffic of visitors observed combined with the current threat of both endemic and exotic diseases.

Keywords
Biosecurity, Swine, Disease transmission, Disease prevention, Risk factors


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Marie-Eve Lambert","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluation of vaccination and control strategies of porcine reproductive and respiratory syndrome (PRRS) in US sow farms using an agent-based approach","PresentationBio":null,"Title":"Mr.","FirstName":"Jose Pablo","LastName":"Gomez-Vazquez","Position":"Postdoctoral Scholar","Organization":"UC Davis CADMS","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7ff1e3f46c334db68e74f61032330824","IsPresentingAuthor":false,"Order":80,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Porcine reproductive and respiratory syndrome (PRRS) is responsible for severe economic losses every year in swine production systems due to the impact on sow and finishing sites. Control and eradication of the disease is challenging because of the rapid spread and the capacity of the virus to quickly mutate making the vaccine effectiveness challenging. We propose a high-resolution within-farm disease spread agent-based model to simulate the impact of PRRS on a US swine farm and evaluate the effect of intervention strategies for disease control.
Our model recreates the reproduction dynamics in a typical US sow farm, evaluates the impact of the disease in the production, and the effect of different intervention strategies for disease control (i.e. vaccination, acclimation of replacement gilts, and herd closure). Our model is parametrized based on literature review and real-world PRRS outbreaks and production parameters goals. For parameters with high uncertainty, we evaluated our model using a global sensitivity analysis framework based on random forest and regression trees, which estimates the influence of different combinations of parameters on the model outcomes.
Using this model, we evaluate the impact of the disease under different scenarios. The expected cumulative sow incidence in our model ranged from 6.3% to 42%. Herd closure was the most influential intervention in our model, reducing the cumulative incidence of sows by 60% and the time to disease elimination by 46% when implemented. Other parameters with high influence included the vaccine efficacy and the probability of introduction.
Our model highlights the importance of a better understanding of the circulating viral strains and the vaccine development efforts when interventions such as herd closure cannot be implemented. We believe that our modeling framework enables better understanding and hypothesis testing about transmission dynamics and supports the implementation interventions to advance with PRRS prevention and control.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["9f2295d7-194f-44de-9cea-8eb77d958e64","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","40011888-980a-402c-868e-27ff2aacbc1b","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Jose Pablo Gomez-Vazquez","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Public Knowledge, Attitude and Practices towards Animal Welfare in Prince Edward Island, Canada","PresentationBio":null,"Title":"Dr.","FirstName":"Ibrahim","LastName":"Elsohaby","Position":"Veterinary Epidemiologist","Organization":"Government of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d3bf1b2a6ac64f378f06f31a26688cee","IsPresentingAuthor":false,"Order":81,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: To understand the public knowledge, attitudes, and practices towards animal welfare on Prince Edward Island (PEI) and to identify gaps in animal welfare laws and policies on PEI.
Material and Methods: An online survey was designed and distributed in 2021. The survey included 30 questions divided into four sections (knowledge about farm and companion animals’ welfare, attitudes toward reporting animal welfare concerns, opinion on who should enforce animal welfare laws on PEI and participants demographic).
Results: There were 10,319 views and/or openings of the survey link, with 3,946 participants completing the survey. Of those who completed the survey, 62.5% were living on PEI (Islanders), and 37.5% lived outside of PEI (Non-Islanders). More than three quarters of the survey participants were female. The majority of Islanders (71.4%) who completed the survey self-identified as general public. Almost all survey participants indicated that animal welfare is very to extremely important, the protection of animal welfare is very important, and would like to be more informed about the animal welfare laws on PEI. Approximately all Islanders and non-Islanders indicated they are somewhat to extremely likely to report a case of animal neglect or abuse. About 46.2% of Islanders and 64.6% of non-Islanders had made a call concerning animal welfare in the past. About 64.7% of Islanders indicated that they somewhat to strongly agree with prohibition of the sale, trade and exhibition of exotic animals on PEI. The majority of Islanders suggested additional interventions are needed for wildlife and puppy mills to help improve animal welfare on PEI.
Conclusion: Although, Islanders feel that animal welfare on PEI has improved over the last 10 years, the investigation identified gaps in Islanders knowledge, attitudes and practices toward animal welfare that stakeholders and policy makers can address.

Keywords: welfare, survey, attitudes, farm, companion and exotic animals
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["19e01dc9-22cb-4850-9e42-985898b24c36"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ibrahim Elsohaby","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Factors that are correlated with knowledge of African Swine Fever among emerging pig farmers in uThukela District, KwaZulu Natal Province, South Africa","PresentationBio":null,"Title":"Ms.","FirstName":"Keleabetswe","LastName":"Malepe","Position":"Veterinarian and Lecturer","Organization":"UNISA","PhotoUrl":null,"IsPresentingAuthor":false,"Order":82,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): We identified factors that are correlated with a high knowledge score for ASF among emerging pig farmers in uThukela District, KwaZulu Natal Province, South Africa.
Method and Materials: A prospective Cross-sectional study design was adopted for this study. All emerging pig farmers in the study area were invited to participate in the study. However, only 426 farmers consented to participate. A structured questionnaire was used to collect data on the socio-demographic characteristics and knowledge about ASF (cause of ASF, means of transmission, sign of disease, species affected by ASF). The knowledge score was thereafter converted into a binary variable (<60%=0 & ≥60%=1). A binary logistic regression model was fit to the data to assess factors significantly correlated with a high knowledge score (≥60%) for ASF. Statistical significance was assessed at P<5%.
Results:
The odds of obtaining a high knowledgeable score was lower among residents of Alfred Duma (Adjusted Odds Ratio (AOR) = 0.524) and Okhahlamba (AOR = 0.383) as compared to farmers from Inkosi Langalibalele. Male respondents had higher odds (AOR= 1.747) of being knowledgeable compared to their female counterparts. The odds of getting a higher knowledge score was higher among respondents aged 18-25 (AOR 1.434), 36-53 (AOR=1.386) and 54-71 (AOR= 1.797) years, as compared to older respondents (˃ 71 years). Farmers who reared pigs as a source of income and meat, had higher odds (AOR=4.061) of being more knowledgeable compared to those who reared pigs only as a source of meat for the family.
Conclusion: The present study highlights the important socioeconomic and demographic variables that are significantly associated with being knowledgeable about ASF. This information could be used to design farmers’ educational programmes. Given the limited nature of this study, larger studies are needed to further investigate the knowledge of the risk factors for ASF among farmers.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Keleabetswe Malepe","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Paratuberculosis in Québec Sheep Flocks: Prevalence and Associated Risk Factors","PresentationBio":null,"Title":"Mr.","FirstName":"William","LastName":"Donnelly","Position":"","Organization":"University Of Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":84,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Paratuberculosis is a chronic, enteric disease affecting ruminants. Caused by Mycobacterium avium subsp. paratuberculosis (MAP), it is responsible for important economic losses in the sheep industry having been associated with increased mortality and decreased overall productivity. Additionally, MAP has been linked with Crohn’s disease in humans, although its exact role is not yet known.
In Québec, the prevalence of paratuberculosis in ovine flocks is undocumented but suspected to be high. This lack of documentation and the slow progression of the disease do not favorize the implementation of effective control strategies.
We aim to characterize the prevalence of MAP in Québec sheep flocks, and to identify risk factors leading to inter- and intra-herd transmission of the pathogen.

Method
Fecal samples were collected on 3000+ ewes coming from 70 randomly selected sheep flocks (10 dairy and 60 meat) in the province of Québec using a combination of random and purposive sampling targeting ewes with clinical signs suggestive of paratuberculosis. Each sample was then analyzed using an in-house IS900 qPCR to assess for the presence or absence of MAP. A questionnaire about the management practices was submitted to each flock. True prevalence will be estimated after correction for diagnostic test performance and sampling design. Risk factors for the introduction of the disease based on a logistic regression and risk factors for the transmission within the herd based on a linear mixed model with herd as a random effect will be identified.

Results
The estimated true prevalence and risk factors will be presented.

Conclusion
The estimation of the prevalence of paratuberculosis in Québec sheep flocks and the identification of its associated risk factors are essential to document the productivity losses for the province ovine industry and to tailor effective diagnostic and control strategies.

Keywords: Paratuberculosis, Sheep, Prevalence, Risk factors","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","3c19c60b-bf2c-4701-b93e-3b18208e3913","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. William Donnelly","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Seroprevalence of human Taenia solium cysticercosis and associated demographic factors in central and southern, Tanzania","PresentationBio":null,"Title":"Mr.","FirstName":"George","LastName":"Makingi","Position":"Researcher","Organization":"Sokoine University of Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b57bd76d92c9461387ff00dce889ee96","IsPresentingAuthor":false,"Order":85,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: This study was performed to estimate seroprevalence of human cysticercosis and associated demographic factors in Kongwa and Songwe Districts, central and southern parts of Tanzania, respectively.

Methods: This cross-sectional study included 42 villages (28 from Kongwa, 14 from Songwe) randomly selected with probability proportion to pig population size. Blood samples were collected from 1552 participants (1040 from Kongwa, and 512 from Songwe), one per household and tested for human T. solium cysticercosis using antigen-ELISA and Western blot IgG-assay.

Results: Twenty-nine participants (1.9%) had circulating antigens for T.solium (active cysticercosis) while 32 (2.1%) had antibodies against T. solium cysticercosis (active cysticercosis or only exposure). A total of 19 (1.2%) individuals tested positive for both tests. Males had significantly higher prevalence of T. solium cysticercosis than female based on antigen-ELISA (OR 4.17; 95% CI: 1.25- 13.85), Westernblot IgG assay (OR 4.67; 95% CI: 1.42-15.5) and both tests (OR=8.64, 95%C.I.15-64.86). Participants in the age of 15-25 years had higher prevalence of antigen-ELISA seropositivity than older persons (OR 3.98; 95% C1: 1.51-10.01). This study has estimated prevalence of active as well as exposure to T. solium cysticercosis in Kongwa and Songwe districts.

Conclusion: Males and youth seem to be more prone to human cysticercosis, most likely because of their increased mobility, which may put them in higher chances of eating outside their homes and possibly in unhygienic situations in these remote settings with limited supply of safe water and sanitary facilities. Appropriate interventions, including health education, should be implemented to control the infection in central and southern highlands of Tanzania.

Keywords: Human; Taenia solium ; Cysticercosis; seroprevalence

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. George Makingi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Panel Study of Milk Production and Serological Status of Neospora Caninum in First Lactation Cows from an Infected Herd","PresentationBio":null,"Title":"Mr.","FirstName":"José","LastName":"Piaggio","Position":"Professor","Organization":"Facultad de Veterinaria UDELAR","PhotoUrl":null,"IsPresentingAuthor":false,"Order":86,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: It was to monitor the serology and the milk production in a group of first lactation cows on a monthly basis to evaluate its usefulness in warning of an eventual increase in abortions and the association between these variables.
Materials and methods: Serum samples were taken monthly from 75 first lactation cows during a 12-month period, from October 2020 to September 2021 from a dairy herd population with 12,000 milking cows with a history of N. caninum abortions. Serological diagnosis was performed using a commercial competition ELISA test (IDvet), and individual milk production was recorded every month. Categorical variables were tested using the Chi square test. Association between milk production and neospora serological status was evaluated by a mixed model, considering cow as a random effect, with an autoregression pattern of order 1 in time (month), and adjusted by lactation month.
Results: Daily milk production average of the 75 cows in the 10 months evaluated was 34.1 liters. Minimum seropositivity occurred in month 4 (25.33%) and maximum in month 10 (50.67%). Changes in serology went both ways and were significantly associated with the month of the year (p<0.01). The model showed a daily milk production negative associated with N. caninum serology (p<0.05) with a coefficient of -1.43. The linear prediction of average production for the negative and positive cows was respectively 34.58 and 33.15 liters.
Conclusions: The potential use of serological status of cows as indicators of risk for abortion could not be validated, since no outbreak of abortions occurred during the studied period. A potential big impact of serology on daily production was found, which showed a lower average production of -1.43 liter for positive serology for N.caninum. This association should be confirmed in future studies and we should understand the biological reasons of this effect. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. José Piaggio","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Number of larval tanks used to stock prawn (shrimp) ponds on a Queensland farm affects daily feed allocation 72","PresentationBio":null,"Title":"Mr.","FirstName":"Barry","LastName":"Robinson","Position":"Senior Veterinary Officer","Organization":"Queensland Government","PhotoUrl":null,"IsPresentingAuthor":false,"Order":87,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Number of larval tanks used to stock prawn (shrimp) ponds on a Queensland farm affects daily feed allocation
Key words: prawns shrimp Queensland hatchery productivity
A complicated throughput of brood-stock and larvae prior to stocking, a dynamic grow out environment and small sample size (n = 47) makes it difficult to identify upstream factors that may affect pond productivity.
Objective: The objective was to determine whether the number of larval tanks contributing to pond stocking affects daily feed allocated to a pond from day 57 to 105 days post stocking. The null hypothesis is that there is no difference.
Materials and methods: In this retrospective cohort study, data was routinely measured and recorded by farm staff. Analysis was performed in r using a linear mixed model utilising maximum likelihood with pond as a random variable and the output updated with a first order autoregressive correlation structure to account for daily repeat measures. Potential confounding variables included feed type, geographic source of brood-stock, age measured as days from stocking and stock date as a 3-way categorical variable. The exposure was dichotomised as 1 or 2 tanks or more than 2 tanks.
Results: After accounting for feed type, source of brood-stock and age, ponds with post larvae sourced from more than 2 larval tanks had less feed allocated to them daily (estimate = -22.9 kg, p = 0.02)
Conclusion: Where ponds are stocked from a wider source of larval tanks, the risk of one tank containing a factor that affects pond productivity increases. This significant finding encourages further investigation into hatchery level factors. A two-sample t test gave similar results, thus suggesting a simpler analytical approach is adequate. Pond feed allocation between the start of feed monitoring and before partial harvesting commences is an acceptable surrogate for pond productivity.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Barry Robinson","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A machine learning framework to predict direct and indirect between-farm contacts during pig transport tours","PresentationBio":null,"Title":"Mr.","FirstName":"Francesco","LastName":"Galli","Position":"PhD student","Organization":"Veterinary Public Health Institute - University Of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":88,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
We aimed to i) develop a methodological framework to predict which pig transports, and in which sequence, happen within the same lorry tour, and ii) define all types of direct and indirect contacts relevant for porcine disease spread that are generated by such tours.

Methods
We trained a gradient-boosted trees model by using lorry tour data from the two largest Swiss pig traders. For all pairs of transports, we predicted the probability of them belonging to the same lorry tour by using transports’ features, such as between-farm distances, types of transport (between-farm versus farm-to-slaughterhouse) and trader affiliation. We then clustered paired transports into tours based on these probabilities. Jaccard index was used to assess the accuracy of our predictions. The sequence of transports within a tour was defined deterministically when logic rules allowed for it, while traveling salesman-like algorithms were applied to the remaining tours to predict the most probable sequence.

Results
We obtained a Jaccard index of 0.71, indicating a good overlap between predicted and observed tours. After the prediction algorithms were applied to the Swiss national animal movement database, four types of trade-related between-farm contacts were defined as possible porcine infectious disease spread routes: i) direct introduction of pigs from farm A to farm B, ii) within-lorry direct contact between pigs from different farms, iii) within-lorry indirect contact between pigs via fomites, and iv) between-farm indirect contact via lorry tires.

Conclusion
We discuss which additional features and prediction methodology could improve the accuracy of prediction. The moderate accuracy may also suggest that the execution of lorry tours can be exposed to unforeseeable changes and does not always follow predictable patterns. Given their importance for defining between-farm contacts, lorry tour data should be systematically recorded into a national database.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Francesco Galli","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Post African swine fever outbreak biosecurity investigation in North West Province, Dr Kenneth Kaunda District in Potchefstroom: South Africa","PresentationBio":null,"Title":"Mrs.","FirstName":"Lebogang","LastName":"Mnisi","Position":"Animal health technician","Organization":"Department Of Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/29b24c684fbb49b2a2f745ec58d8ed83","IsPresentingAuthor":false,"Order":92,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"African swine fever (ASF) outbreak was declared in May 2021 around Potchefstroom area after being detected and confirmed from post mortem tissue samples. The virus spread through auction sales due to poor biosecurity protocols such as lack of movement control restrictions, lack of pre-quarantine facility, and absence of health declaration certification etc. This outbreak affected a total of 17,903 pigs, and left farmers, auction and abattoir managers devastated with economic losses estimated to R35,880,000. With the absence of proven vaccines and treatment against this virus, biosecurity is crucial and is the only effective control tool available.

This investigation report aimed at assisting affected farmers, auction and abattoir managers with the implementation of effective biosecurity protocols. The objective of this investigation report was to identify on-farm and national biosecurity program gaps and address them. Data was collected through systematic literature reviews, animal disease act and animal health act reviews and assessment of national biosecurity programs. The data analysed comprised biosecurity questionnaires and farmers, abattoir and auction managers’ interviews records. The results from ASF outbreak investigation were analysed to address biosecurity gaps.

This report identified biosecurity knowledge gaps and conducted individual on-farm biosecurity awareness campaigns about foot baths, and disinfecting of vehicle tyres etc. Although this report assisted these affected farmers and market sales managers to implement basic and effective biosecurity protocols in their premises, government needs to enforce animal disease acts for farmers to abide by the law. The South African government should hold law breakers accountable for their acts by introducing strict monetary fines in order to promote good biosecurity practices.
This report recommends new surveillance programmes like annual serological surveillance for African swine fever which currently does not exist. This will strengthen ASF and Classical Swine Fever (CSF) detection capabilities and enhance outbreak preparedness.

Keywords: African swine fever; biosecurity
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Lebogang Mnisi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Evaluation of meat-juice and muscle-swabs against spleen and spleen-swabs as alternative diagnostic samples for African Swine Fever testing using an OIE approved rt-PCR assay","PresentationBio":null,"Title":"Mr.","FirstName":"Rodney","LastName":"Okwasiimire","Position":"Research Assistant","Organization":"Makerere University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0aa8e1ae679d4ffa8c2dc3acb39258c0","IsPresentingAuthor":false,"Order":93,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"ASF, meat-juice, rt-PCR, spleen, swab

Evaluate the sensitivity of meat juice against the approved spleen and spleen-swab samples for ASF detection.
Evaluate the sensitivity of meat swabs against the approved spleen and spleen-swab samples for ASF detection.

Persistent ASF outbreaks usually result in panic sell-off of animals to slaughter houses in and around Uganda’s capital, Kampala. Pigs included in this study (321) were visually assessed for signs and lesions consistent with ASF at the slaughter house. This included evidence of diarrhea, skin discoloration, enlarged and hemorrhagic spleen or lymph nodes, and/or kidney petechiation. Samples collected included diaphragm and spleen muscles plus swabs that were vigorously rubbed on the cut muscle surfaces. Muscle juice was collected from thawed diaphragm muscles following overnight freezing at -20°C. DNA was extracted from the samples using Qiagen DNeasy kits and analyzed for ASF by real-time PCR.

Positive results were highest for meat juice (75.08%) and lowest for meat swabs (46.11%). Comparison of meat juice against spleen and spleen swabs showed higher proportions of false positives (40.95%, 38.08%) than negatives (39.39%, 30.88%). There were higher proportions of true positives (84.05%, 87.57%) relative to negatives (29.63%, 34.06%), with a higher positive predictive value for meat juice against spleen swabs (0.619) compared to the spleen (0.591). For meat swabs, higher false negative proportions (42.26%, 41.77%) than positives (30.28%,31.29%), having a slight difference in true positives (58.24%, 58.72%) and negatives (69.29%, 68.28%) were seen. Positive predictive values that were almost identical (0.697, 0.687) were observed.

Meat juice shows greater sensitivity than muscle swabs for ASF detection. Whereas this study shows meat juice as being more reliable, its use is limited by the need to freeze and thaw samples. Meat juice showed more positives than spleen and spleen swabs, thus an experimental study to correlate these findings should be undertaken.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Rodney Okwasiimire","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Enhanced African Swine Fever Surveillance: Establishment of a United States Protection Zone ","PresentationBio":null,"Title":"Mrs.","FirstName":"Oriana","LastName":"Beemer","Position":"Veterinary Epidemiologist","Organization":"USDA/APHIS/VS","PhotoUrl":null,"IsPresentingAuthor":false,"Order":95,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
The United States Department of Agriculture (USDA) established its first ever foreign animal disease protection zone (PZ) in Puerto Rico (PR) and the United States Virgin Islands (USVI) following the detection of African swine fever (ASF) in the Dominican Republic in July of 2021.

Materials and methods
Building on its historic classical swine fever program, the USDA implemented its first national surveillance program for ASF in 2019. The risk-based program strengthens detection capabilities through consistent surveillance at a nationwide network of laboratories. The program establishes a baseline of disease absence and supports claims of disease freedom through timely and targeted testing of higher-risk subpopulations of swine. To meet OIE PZ guidance, the USDA implemented comprehensive education campaigns, improved biosecurity and sanitary measures, enacted movement restrictions on swine and swine products, and enhanced surveillance activities within the PZ and the contiguous U.S. The USDA performed a pathways analysis to improve risk-based targeting of surveillance activities and expanded laboratory capacity to support additional testing in the PZ. Garbage fed swine, slaughter swine, clinically ill swine, feral swine, and swine on farms within 3 km of illegal boat landings are targeted.

Results
Enhancement of risk-based surveillance in the PZ has enabled consistent testing of populations with the highest risk of disease introduction, resulting in a greater than 50-fold increase in samples tested for ASF and a dramatic increase in the rate of initiation of Foreign Animal Disease investigations.

Conclusion
The enhancements implemented by USDA have supported the establishment of a robust PZ surveillance system. The PZ and surveillance enhancements are expected to mitigate the risk of ASF introduction to the U.S. and its territories and improve the ability of USDA to detect, control, and eradicate ASF should an incursion occur.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c901ec5-8189-459e-b859-afcfb8a96f9b","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","3c633f59-5da2-4213-a804-5e21f6f27422","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Oriana Beemer","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Where to look for ASF-infected wild boar carcasses: Identification of predilection sites in the landscape","PresentationBio":null,"Title":"Ms.","FirstName":"Lisa","LastName":"Rogoll","Position":"Doctoral Student","Organization":"Friedrich-Loeffler-Institut","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/45263f09ed584ec697fda17e8463d447","IsPresentingAuthor":false,"Order":96,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Removing carcasses of wild boar infected with African swine fever (ASF) is essential for the successful control of the disease. However, the search for carcasses is a resource-consuming activity. To examine if landscape characteristics influence the probability of finding ASF-positive carcasses and if the search can thus be focused on certain areas, we examined over 12,000 GPS coordinates of wild boar carcasses found in Latvia. The data were extracted from the CSF / ASF Wild Boar surveillance database.

GIS programs were used to determine the landscape type and composition at the finding sites and to measure distances of the carcasses to the nearest waterbodies, forest edges, roads, and settlements. To put the results into proportion to the general landscape composition of Latvia, 10,000 random geo-positions were created and analysed likewise. The methodology was validated by a manual analysis of a smaller sample.

Wild boar carcasses were found predominantly in forested areas and closer to waterbodies and forest edges than random positions. This corresponds to the habitat preferred by wild boar. ASF-positive carcasses were found statistically significantly more often in transitional areas between forest and scrub and at greater distances from roads and settlements than negative carcasses and random positions. These results indicate that ASF-infected animals seek shelter in calm areas further away from human activities. The comparison of the manual and automated method showed that the automated analysis is well suited for the analysis of larger samples, but a slight loss of detail must be considered.

Recommendations for a systematic and resource-saving search strategy can be derived from the results of this study. However, for a more accurate characterization of potential predilection sites for the carcass search, the environmental surroundings of carcass finding sites need to be documented.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","3c633f59-5da2-4213-a804-5e21f6f27422","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/lisa-rogoll-835b471a3","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/lisa-rogoll-835b471a3","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/lisa-rogoll-835b471a3","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/lisa-rogoll-835b471a3","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Lisa Rogoll","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Application of Computer Vision in Animal Experiments with Red Foxes","PresentationBio":null,"Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Organization":"Friedrich-Loeffler-Institut","PhotoUrl":null,"IsPresentingAuthor":false,"Order":97,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Computer vision, animal monitoring, animal behavior, animal activity, body posture

Animal activity and posture are indicators for its welfare and manual observation is time and cost intensive. To this end, the application of computer vision methods provides a means of automatically detect and monitor captive animals to determine its activity and posture, and use this to assess animal welfare (and health). We demonstrate that computer vision methods enable gap-less monitoring of red foxes in an experimental lab-setting including a classification into activity patterns and body posture.
Therefore, the animals are detected, i.e. localized, and the body posture is classified (here: lying, sitting or standing). The bounding boxes are used to measure the movements of the foxes and thus the activity level (highly active, active or inactive) of the animals. More specifically, we train the existing algorithm YOLOv4 to detect foxes and classify their posture. The trained detector is applied to video data from an experiment with foxes.
The detector has a mean average precision of 99.91%. The combined evaluation of activity and posture results in a behavioral monitoring. We have developed a decision tree for behavior classification for this purpose (see figure below).
Application of automatic detection of foxes can be used for detecting different movement patterns and overviews of the activity level, respectively postures. These, in turn, can be used for animal behavioral analysis, and thus animal welfare monitoring. Once established for a specific animal species, such systems could be used for animal monitoring in real-time under experimental conditions, or other areas of animal husbandry.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fed082c824f44e75abe30ed2fd6a0e4d","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["19e01dc9-22cb-4850-9e42-985898b24c36","cb344d68-5710-46be-a916-dd122f96ab66","76c84259-9a28-4ba9-a370-db4b00031911"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Carola Sauter-Louis","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Honeybee Pathogens and Risk of Winter Losses in Southwestern Quebec","PresentationBio":null,"Title":"Dr.","FirstName":"Julie","LastName":"Arsenault","Position":"Professor","Organization":"Université De Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b41712e9bac0404588d3195d2ea42704","IsPresentingAuthor":false,"Order":98,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Pathogens, management practices and environmental factors are known to be responsible for in honeybee colony winter losses, but their impacts and interactions at the population level are still poorly documented in North America. Our project aims to estimate the prevalence of honeybee pathogens and to explore their association with winter mortality in Southwestern Quebec, Canada.

Prevalences were estimated for Varroa destructor, Paenibacillus larvae, Melissococcus plutonius, Nosema spp., Acarapis woodi, Deformed wing virus type A (DWV), viruses of the acute bee paralysis/Kashmir bee/Israeli acute paralysis (AKI) complex, Black queen cell virus (BQCV) and Apocephalus borealis in 242 colonies of 31 apiaries of Southwestern Quebec in August 2017. Colony mortality (<4 frames of bees) was registered by beekeepers in May 2018. Impact on winter losses was modeled with logistic regression.

Varroa destructor was detected (alcohol wash) in 48% of colonies and 93% of apiaries, but only 16% of colonies and 49% of apiaries had significant infestation rates of at least 1 mite per 100 bees. Prevalence of positive colonies for other pathogens were: Nosema spp. 40%, M. plutonius 21%, A. borealis 0,4%, DWV 33%, AKI complex 9%, BQCV 95%, A. woodi 0% and P. larvae 0%. The incidence risk of winter mortality was 26.5% (95% Cl = 15.4–40.3). Upon modelling, only V. destructor was individually associated with winter mortality (P = 0.046). An interaction was detected between V. destructor and DWV: DWV-positive colonies with ≥1 varroas mite per 100 bees had 3.46 (95% CL: 1.35-8.90) higher odds of mortality than DWV-positive colonies with less than 1 mite per 100 bees. Population attributable fraction of winter mortality associated to V. destructor was 9%, assuming a causal relationship.

Our results demonstrate that V. destructor is the most important pathogen in southwestern Quebec. Consequently, effective monitoring and mitigation strategies should be continuously promoted.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ad0bbcc1-b4fd-4649-8742-3e2c59eedd41"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Julie Arsenault","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Improving pig disease surveillance in Timor Leste: a community engagement and learning approach83","PresentationBio":null,"Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":99,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective:
Strengthening passive animal health surveillance is needed for the Ministry of Agriculture and Fisheries (MAF) in Timor Leste to meet OIE requirements and MAF strategic goals. Given this need, our research evaluated best practice community engagement to support pig production and enhance case detection.

Materials and Methods:
Two villages (one close, one remote) in each of Bobonaro, Aileu and Liquica municipalities were selected. Using interviews and focus group discussions, we conducted a baseline evaluation of limitations and opportunities for case detection and investigation of pig diseases. Drawing on our findings and the literature, veterinary technicians were trained and implemented community engagement and disease investigation activities. Following implementation, further interviews and FGD were conducted.

Results:
The baseline FGDs involving 133 farmers (62 men, 71 women) found a low level of reporting to MAF (25/133 18.8%) with hindrances including no contact with and limited response from veterinary technicians. Of 16 technicians (11 men, 5 women), the majority stated that regular meetings to discuss husbandry were needed to improve farmer reporting, and several stated a lack of confidence to conduct disease investigation and requested post-mortem training.

These findings informed the technician training and the approach to community engagement. A significant increase in farmer motivation to report was achieved (% highly motivated to report increased from 13 to 83%), and reasons included the relationship with technician, the knowledge of the technician, and the realisation reporting can help to prevent disease spread. Furthermore, 27 reported cases of pig mortality were investigated (ASF virus detected in 19, suspected bacterial and/or parasitic aetiologies in 8).

Conclusions:
This study provides evidence of the importance of community engagement to establish relationships that enhance farmer motivation to report and to support disease investigation. The benefits realised by farmers and technicians included improved husbandry and disease detection.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Jenny-Ann Toribio","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk factors of complex gill disease in farmed Atlantic salmon in British Columbia, Canada","PresentationBio":null,"Title":"Dr.","FirstName":"Beibei","LastName":"Jia","Position":"Assistant Professor","Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":99,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Gill diseases challenge the growth performance of salmon aquaculture and often have multifactorial or complex etiologies. Our research is part of the Complex Gill Disease (CGD) Initiative. The CGD project joined the effort from industry, academic, and government agencies to tackle CGD in British Columbia (BC), Canada.
Objectives: The ongoing study is to identify risk factors contributing to the development of CGD.
Materials and methods: We targeted gill score information collected from feed trials in 2019 (two sites in company A), 2020 (two sites in Company B), and 2021 (four sites in Company B). Outcome of interest was fish-level gill health of normal (score 0), mild (score 1), medium (score 2), and severe (score 3) lesions. The following risk factors were included: (i) site-level biotic (e.g. plankton) and abiotic (water temperature DO, salinity, turbidity) and production factors (e.g. stocking, fallowing) (ii) pen-level population information (e.g. smolt source, stock type, daily biomass, and daily mortality); and (iii) cage-level fish health management factors (e.g. net washing, fish handling, and treatment). Graphical analyses were conducted to explore the annual and seasonal changes of gill lesions and predictor variables.
Results: Percentages of gill lesion (gill score>0) varied between 2- 90% of sampled fish for gill score. Seasonal variation of gill scores across sites. Mild lesions started late March and early April. Higher percentages of severe gill lesions occurred between June and September. We proposed the primary risk factors associated with the incremental changes of gill lesions, including fish genetics bakground, acute decrease of water salinity, and concurrent or predisposing fish handling stress.
Conclusions: Our current findings provided support for potential interaction of environmental factors and fish genetics on the gill health condition. The study reflects the pragmatic values of data-driven management in salmon aquaculture.

Keywords: Complex gill disease, farmed salmon, risk factors, British Columbia
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Beibei Jia","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantifying transmission parameters of SARS-CoV-2 in ferrets and hamsters from experimental transmission studies - a systematic review ","PresentationBio":null,"Title":"Ms.","FirstName":"Mariana","LastName":"Avelino de Souza Santos","Position":"","Organization":"Wageningen University & Research","PhotoUrl":null,"IsPresentingAuthor":false,"Order":100,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Assessing SARS-CoV-2 infection and transmission dynamics is possible through susceptible animal models, such as hamsters and ferrets. Currently available experimental infection studies have assessed transmission qualitatively, although they provide data that allows quantitative characterization of transmission through quantification of transmission parameters, i.e., the basic reproduction number (R₀), transmission rate (β), latent period (L) and infectious period (T).
With the aim of conducting a systematic review (PROSPERO registration: CRD42021265934) to collect transmission data and quantify transmission parameters, an electronic search was conducted in two databases and preprint repositories, along with backward and forward citation searches.
We followed PRISMA guidelines and included experimental infection studies in which the design included hamsters or ferrets as models for transmission assessment of SARS-CoV-2. 253 articles were screened, of which 44 were transmission experiments and 14 provided longitudinal data at an animal level.
We found that the β of direct transmission (RT-PCR) in ferrets is 0.60 day-1 (95%CI:0.24-1.46), whereas the β of indirect (RT-PCR) is 0.21 day-1 (95%CI:0.10-0.46). The R₀ is 13.0 (95%CI:3.3-51.5) for direct transmission and 4.0 (95%CI:1.3-12.5) for indirect. The median of the latent period for inoculated ferrets is 2.8 days post infection and for contacts is 5.4 days post exposure, via viral culturing. The median of the infectious period for inoculated ferrets is 11.4 and 6.7 days post infection, while for contacts is 13.0 and 11.2 days post exposure, via RT-PCR and viral culturing, respectively. Similar estimates are being generated for hamsters.
SARS-CoV-2 transmission in ferrets via direct contact occurs faster and is more effective than transmission via indirect contact. Furthermore, the median of the latent period is shorter for inoculated compared to contact animals via viral culturing and the median of the infectious period is also shorter for inoculated compared to contact animals via both RT-PCR and viral culturing.

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Background: The endemic status of ASF in some South African provinces pose a challenge to the pig industry.
Objective(s): We assessed the knowledge, attitude and practices towards ASF among emerging pig farmers.
Method and Materials: A cross-sectional study design with a structured questionnaire was use in this study. All qualifying emerging pig farmers were invited, but only 426 consented to participate. Data was analysed using descriptive statistics.
Results: Only 31.46% of the farmers identified ASF as a viral and contagious disease. While just under half (44.84%) of the farmers indicated that only pigs were susceptible to ASF, 39.67% identified pigs, wild pigs and warthogs. Very few farmers identified wild pigs (9.62%) and warthogs (5.87%) as the only animals susceptible to ASF. In terms of factors important for the spread of ASF, 39.91% mentioned only illegal movement of pigs, while 32.63% identified illegal movement of pigs, lack of foot bath or biosecurity, and feeding swill. On the other hand, a low proportion of farmers identified lack of foot bath (19.25%) and biosecurity (8.22%). In terms of the symptoms of ASF, 59.62% identified high fever, death occurring in 15-45 days, and ocular discharge, while a low number identified a high fever (12.44%), death in 15-45 days (12.44%) and ocular discharge (9.62%). With regard to attitude, 92.72% were aware that an outbreak of ASF would have a disastrous economic consequence, and 89.44% were aware that ASF is a notifiable disease. In event of an outbreak of ASF, all respondents would inform the responsible authorities. 57.28% of the respondents fed their pigs with swill and 38.50% hunted wild pigs.
Conclusion: Majority farmers displayed a good attitude towards ASF. However, educational campaigns to improve knowledge and enforce a positive attitude and good practices towards ASF are needed.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"WaNamwini","_facebookUrl":"www.facebook.com/james.w.oguttu","_linkedInUrl":"linkedin.com/in/oguttu- james-0b570722","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"WaNamwini","FacebookUrl":"www.facebook.com/james.w.oguttu","LinkedInUrl":"linkedin.com/in/oguttu- james-0b570722","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=WaNamwini","FullFacebookUrl":"http://www.facebook.com/james.w.oguttu","FullLinkedInUrl":"http://linkedin.com/in/oguttu- james-0b570722","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":4},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=WaNamwini","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.facebook.com/james.w.oguttu","Font":"fab fa-facebook-square","Color":"#3b5998"},{"Link":"http://linkedin.com/in/oguttu- james-0b570722","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Prof. James Oguttu","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Detection of Bovine Respiratory Disease Pathogens in On-Arrival Feedlot Calves by Nanopore Metagenomic Sequencing","PresentationBio":null,"Title":"Dr.","FirstName":"Emmanuel","LastName":"Donbraye","Position":"Graduate Student","Organization":"University Of Saskatchewan","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e2ebb6a78472427b977220b0268431d0","IsPresentingAuthor":false,"Order":103,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective - Bovine respiratory disease (BRD) is the costliest disease of beef cattle and respiratory viruses, and bacteria are an important cause of loss. However, current diagnostic methods involve a multi-step, costly and cumbersome process requiring individual PCR tests for each viral pathogen and culture and sensitivity testing for bacteria. Metagenomic sequencing is currently providing novel approaches to the surveillance, detection, and characterization of pathogens. This preliminary study sought to investigate the detection of BRD pathogens in calves on-arrival at the feedlot from deep nasopharyngeal swabs using Oxford Nanopore sequencing (ONT) GridION and PromethION platforms.
Materials and methods – Deep nasopharyngeal swabs were collected in the fall of 2021, at the time of arrival, from 800 high-risk calves purchased, housed, and sampled at the Livestock and Forage Center of Excellence (LFCE) Saskatoon. Nanopore metagenomic sequencing was carried out following previously described sample preparation and extraction protocols on 30 samples and nanopore sequence data was analyzed by an in-house bioinformatics pipeline. We multiplexed 6 and 24 samples respectively, for sequencing on single flow cells on the GridION and PromethION platforms.
Results – Multiple BRD pathogens were detected by both nanopore platforms in each sample. Bovine coronavirus, Bovine respiratory syncytial virus and Mannheimia haemolytica were detected in all 30 samples. Additionally, Influenza D virus was detected in all 6 GridION samples and Pasteurella multocida in all 24 PromethION samples. Other pathogens including Bovine herpesvirus 1 (67% and 92%), Histophilus somni (83% and 88%), and Mycoplasma bovis (67% and 63%) were also detected in most of the samples on the GridION and PromethION platforms.
Conclusion - We conclude that PromethION was successful in, detecting BRD pathogens in a timely, less expensive, and rapid manner in feedlot cattle in addition to the previously documented GridION platform.
Keywords: Nanopore sequencing, GridION, PromethION , BRD, calves
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Emmanuel Donbraye","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Antimicrobial resistance in Uruguay: prevalence estimation in beef cattle and farms in different production systems","PresentationBio":null,"Title":"Dr.","FirstName":"Federico","LastName":"Fernandez","Position":"","Organization":"Ministry of Livestock, Agriculture and Fisheries","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a2b72b27dcaa4f48a4013dd8ba07cff3","IsPresentingAuthor":false,"Order":105,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objetives
In Uruguay, the last prevalence study dates from 2006 with changes in the productive system. Therefore, the objective was to estimate the prevalence and study the profile of susceptibility to antimicrobial agents at the national level in beef cattle prior to slaughter.

Materials and methods
The study was carried out from a two stage sampling: 120 farms were selected from the different productive system (beef cattle based on pastures, dairy and feedlot); and then 10 steers within each herd. Antimicrobial susceptibility test were performed to 1180 individual fecal samples, using generic Escherichia coli, non-selective media, automatized equipment and interpreted using clinical cut-off point. Laboratory data were combined with survey information to categorize results. To estimate the prevalence based on the sampling design, the complex sampling routine of the STATA 15® software was used.

Results
90.4% of the animals were pansensitive; 8.3% of the resistances were simple and 1.3% multiple; 6% were of WHO critical importance antimicrobials, with higher resistances in strata feedlot. The most frequent resistance was for tetracycline, followed by colistin and ampicillin. At the farm level, the resistance values were higher due to dispersion; 35% of the farms were resistant to WHO critical importance antimicrobials and 51.6% presented some resistance, with no strata difference. 1.82% of the farms were multi-resistant.
Comparing the results with the previous study, they do not differ significantly which means that the production systems still have high sensitivity to antimicrobials.
Conclusions
Our results indicates the farm situation prior to slaughter is of a very low level of prevalence of antimicrobial resistance and with a dispersed distribution at the farm level, compatible with limited antimicrobial use. The update of the situation is essential for decision makers in public policies, to support and evaluate actions.

Key words: antimicrobial resistance, beef cattle, Uruguay.
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Lyme disease incidence has increased among humans and dogs. A previous study found that there were similar patterns between Google searches for Lyme disease symptoms and Lyme disease incidence among humans. The objective of this study was to validate the use of Google Trends search data for predicting Lyme disease incidence among humans and dogs by comparing models with varying search terms.

Materials and methods
Preliminary results for monthly human Lyme disease incidence data from 2010-onward were generated using 3 states. Google Trend data was downloaded using the ‘gtrends’ package in R version 4.0.2. Time series models were built using random-effects generalized least squares regression using the ‘xtreg’ command in Stata version 17.0. Monthly lags of searches were used as predictors (i.e., 1-month prior, 2-months prior) until statistical insignificance was achieved.

Results
In total, there were 360 observations from 3 states (CT, RI, and WA) used in preliminary analyses. The search terms most predictive of Lyme disease incidence included “Lyme,” “bone pain,” “tick bite,” and “tick rash.” The R2 for the most predictive models ranged from 19% to 69%. Interestingly, the predictive ability of terms for Lyme disease (“Lyme” versus “Lyme disease” versus “Lymes”) varied greatly. Other searches for conditions with symptoms similar to Lyme disease were not predictive of Lyme disease incidence, including “arthritis,” “bells palsy,” “chronic fatigue,” and “multiple sclerosis.” Additional results on dog Lyme disease will also be presented.

Conclusion
These results highlight that Google trends search data have potential as a predictive tool for human Lyme disease incidence and show specificity for Lyme disease incidence. However, there is a need for additional testing and standardization of search terms to ensure the models optimize the use of search data, are generalizable to other states, and are reproducible.

Keywords: Lyme disease, predictive modeling, Google Trends, zoonotic disease
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Antimicrobial resistance (AMR) is an important global problem that is being addressed from the One Health concept, associated factors could lead to identify and implement a control strategy. This study was conducted to identify the associated factors of AMR occurrence in each production sector.
Materials and methods
120 beef farms in the last stage prior to slaughter were selected with a sampling design that allows the projection of the results to the target population. Susceptibility to antimicrobial agents (ATM) were studied using generic Escherichia coli as indicator bacteria in fecal samples. Potential farms associated factors to AMR were collected using a survey with relevant information for the characterization of the farms. Farms were categorized using lab results and then used as the dependent variable for the regression models: multiresistance farm, and farm that had some antimicrobial resistance. The complex sampling routine of the STATA 15® software and logistic regression models were used for the analysis according to the sampling design.
Results
Using multivariable logistic regression models, associated factors were identified. In one model intensification (categorized number of bovines/hectare), was the unique statistically associated variable with farms that had some antimicrobial resistance. In the other model, antimicrobial administration and bovine/hectare were statistically associated with multiresistance farms. Other statistically significant associations were identified using univariable logistic regressions.
Conclusions
Our findings, therefore, are consistent with other studies, confirming an association with AMR.
Although certain factors were shown to be associated with the presentation of AMR, the epidemiology of AMR is clearly multifactorial. More epidemiological studies and in greater depth are necessary to identify other potential associated factors useful for a control strategy.
Key words: associated factors, antimicrobial resistance, Uruguay, beef cattle..
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Introduction
Tackling the challenge of antimicrobial resistance (AMR) requires changes in antimicrobial use (AMU) across human, animal and agricultural sectors. To trigger adequate changes, both at individual as at policy level, all actors in the system must be informed by integrated surveillance. Consequently, it is crucial to assess the impacts of the information produced by such integrated systems to provide evidence of their added value. In this context, we aimed at developing a matrix to assess the impacts of integrated surveillance of AMR and AMU.

Materials and Methods
A preliminary evaluation tool was developed using impact pathway analysis. Using evidence from previous research, evaluation attributes and their indicators were identified for each of the immediate, intermediate and ultimate outcomes. The preliminary tool will be then submitted to a panel of international experts for validation and prioritization according to the surveillance context.

Results
The evaluation matrix includes outcomes´ attributes to assess changes in surveillance performance, stakeholder awareness, knowledge and practices, cross-sectoral collaboration, systems knowledge, AMR risk management, surveillance costs, as well as health and economic impacts. Indicators are either observed or stated, and measured using both qualitative (eg. document analysis, key informant interviews) and quantitative methods (eg. epidemiological, economic analysis). The expert opinion elicitation will allow us to identify the adequate evaluation timeline, as well as the appropriateness of the attributes and indicators depending on the maturity of the evaluated system.

Conclusion
The developed evaluation matrix provides guidance to assess the impacts of integrated surveillance systems of AMR and AMU conducted in a One Health context. It can be used as a stand-alone tool to specifically assess the outcomes of the surveillance system, or in conjunction with existing surveillance tools to provide a comprehensive evaluation of the system.

Keywords

AMR, evaluation, impacts, One Health, integrated surveillance
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one of the most visited National Historic Sites in Canada!","Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#262626","AgendaTypeName":"Break Activity","BackgroundColor":"#DCE6F2","Location":"Halifax Citadel National Historical Site │5425 Sackville St, Halifax","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"464c4bbd-8eac-4ec7-9005-f4ceb8f7e7db","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-11T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"33126fa6-03b9-4731-af62-fdbd7ea42a13","StartTimeString":"6:30 PM","EndTimeString":"10:00 PM","StartToEndTimeString":"6:30 PM - 10:00 PM","StartToEndTimeSortString":"6:30 PM - 10:00 PM","DisplayDetails":"ISVEE Kitchen Party","DateString":"Thursday, August 11, 2022","ShortDateString":"Thu Aug 11, 2022","StartToEndTimeString2":"6:30 PM - 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4:00 PM","StartToEndTimeSortString":"8:00 AM - 4:00 PM","DisplayDetails":"Registration Desk open (Friday)","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"8:00 AM - 4:00 PM","StartTimeOverrideString":"8:00 AM","EndTimeOverrideString":"4:00 PM","StartToEndTimeOverrideString2":"8:00 AM - 4:00 PM","BaseStartDateTime":"2022-08-12T08:00:00+00:00","BaseEndDateTime":"2022-08-12T16:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T08:00:00+00:00","BaseEndDateTimeOverride":"2022-08-12T16:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T11:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T19:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T11:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T19:00:00.0000000+00:00"},{"Id":"212e8cba-ed97-48e0-8348-708e0542dea3","SessionBlockId":null,"Name":"KEYNOTE New Frontiers of Veterinary Epidemiology","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"08:30:00","EndTime":"09:30:00","StartTimeOverride":"08:30:00","EndTimeOverride":"09:30:00","Details":"","Overview":"Speaker: Dr. Annette O'Connor","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#DF2D46","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"New Frontiers of Veterinary Epidemiology","PresentationBio":"Dr. Annette O’Connor is Department Chair of Large Animal Clinical Sciences at Michigan State University, and a Fellow of the Australian College of Veterinary Scientists. Dr. O’Connor is a quantitative veterinary epidemiologist who works in food production, public health, food safety and uses of animals. She conducts primary research and synthesis research in these areas. This work involves combining research in transparent and comprehensive ways that ensure maximum value is obtained from society’s investment in research funding. She has worked in a diverse set of fields including food-borne pathogens of animal proteins, statistical approaches to antibiotic resistance data, food production, biomedical uses of animals, and veterinary public health. The main aim of Dr. O’Connor’s work is to help end-users better understand the results of research so decisions-makers such as industry bodies, veterinary practitioners and government officials can incorporate primary research into decisions (i.e. science supported decision-making). ","Title":"Ms.","FirstName":"Annette","LastName":"O'Connor","Position":"Professor","Organization":"MSU","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3ace5c79550c47fd99b62b35bc444eb7","IsPresentingAuthor":false,"Order":null,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Causal research is one foundational concept in epidemiology. Epidemiologists are taught observational study design, measures of disease frequency, measures of effect, and that association is not causation. How to use causal frameworks to conclude that B is caused by A is considered essential knowledge of epidemiologists. In this presentation I will discuss that in human epidemiology, there has been a renaissance of causal research in recent years associated with revisiting causation frameworks, a renewed understanding of bias mechanisms, and the essential role of an epidemiologist in knowledge translation to policy. This renaissance of causal research impacts how epidemiologists understand, conduct, and teach causation in veterinary science and agriculture. Focusing on observational research, we should think critically about our approaches to answering causal questions and whether we are achieving the best we can with the available resources. If causal research is a foundational concept in veterinary epidemiology, are we too focused on observational methods for causal research? Should we broaden our scope to include the full spectrum of causal research approaches, i.e., clinical trial and research synthesis? Epidemiologists are well suited to lead the profession in clinical trials, yet this is often a neglected area of training. Finally, the science of research synthesis is at the other spectrum of causal research. Systematic reviews, meta-analysis, clinical practice guidelines, and risk assessment should all be part of the causal research tool kit for epidemiologists. As we discuss the new frontiers of veterinary science, we have a unique opportunity to rethink what it means to be an epidemiologist with better observational research and embracing approaches beyond observational studies.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Annette O'Connor","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"212e8cba-ed97-48e0-8348-708e0542dea3","StartTimeString":"8:30 AM","EndTimeString":"9:30 AM","StartToEndTimeString":"8:30 AM - 9:30 AM","StartToEndTimeSortString":"8:30 AM - 9:30 AM","DisplayDetails":"KEYNOTE New Frontiers of Veterinary Epidemiology
Speaker: Dr. Annette O'Connor","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"8:30 AM - 9:30 AM","StartTimeOverrideString":"8:30 AM","EndTimeOverrideString":"9:30 AM","StartToEndTimeOverrideString2":"8:30 AM - 9:30 AM","BaseStartDateTime":"2022-08-12T08:30:00+00:00","BaseEndDateTime":"2022-08-12T09:30:00+00:00","BaseStartDateTimeOverride":"2022-08-12T08:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T09:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T11:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T12:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T11:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T12:30:00.0000000+00:00"},{"Id":"4ed590ca-4fdd-49ff-9223-8ee0847b7cba","SessionBlockId":null,"Name":"Friday AM Bio Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"09:30:00","EndTime":"10:00:00","StartTimeOverride":"09:30:00","EndTimeOverride":"10:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom Salon","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4ed590ca-4fdd-49ff-9223-8ee0847b7cba","StartTimeString":"9:30 AM","EndTimeString":"10:00 AM","StartToEndTimeString":"9:30 AM - 10:00 AM","StartToEndTimeSortString":"9:30 AM - 10:00 AM","DisplayDetails":"Friday AM Bio Break │ Exhibits","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"9:30 AM - 10:00 AM","StartTimeOverrideString":"9:30 AM","EndTimeOverrideString":"10:00 AM","StartToEndTimeOverrideString2":"9:30 AM - 10:00 AM","BaseStartDateTime":"2022-08-12T09:30:00+00:00","BaseEndDateTime":"2022-08-12T10:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T09:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T10:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T12:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T13:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T12:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T13:00:00.0000000+00:00"},{"Id":"a1e1cd1d-6619-4ecf-9d28-05e2eb0547c3","SessionBlockId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","Name":"Breakout Session 11.E - Epidemiologic Principles and Methods","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epigenetic analysis of a classical swine fever virus outbreak in Japan between 2018 and 2020","PresentationBio":null,"Title":"Mr.","FirstName":"Kotaro","LastName":"Sawai","Position":null,"Organization":"National Institute of Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: CSF, genome, SNV
1. Objectives
In September 2018, an outbreak of classical swine fever (CSF) re-emerged in Japan after 26 years of absence. Using the whole genome sequence data of CSFVs identified in Japan, this study aimed to clarify the date of the initial introduction of CSFV into Japan and to identify how the virus spread during this epidemic.
2. Materials and methods
Whole-genome sequences were obtained from 65 infected farms and 93 infected wild boars found until February 2020. A time-scale phylogenetic analysis was performed to estimate the introduction date of CSFV into Japan and spread to the two distant areas inside Japan (Saitama and Okinawa). To trace the geographical diffusion process of the CSFV during this epidemic, single-nucleotide variants (SNV) analysis was conducted among these isolates.
3. Results
Phylogenetic analysis showed that the most recent common ancestor (MRCA) of the Japanese lineage emerged 146 days (85–216 days) before the detection of the index case. MRCAs of the epidemics in Saitama and Okinawa, which are distant from the index area, were estimated to have emerged 93 days and 34 days before the date of the detection of the first case in each region, respectively. SNVs analysis revealed that a single infection source accounts for the CSF outbreaks in these two remoted areas, whereas multiple infection sources were assumed to be associated with outbreaks that occurred in the Atsumi Peninsula, where nine infected farms were found within a radius of 10 km.
4. Conclusion
This study is the first to reveal the time lag between the date of virus introduction into Japan and the date of detection of CSFV during the 2018 outbreak. Furthermore, by demonstrating the variety of transmission routes and the possibility of long-distance spread of the disease, the study will contribute to improving disease control measures.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Kotaro Sawai","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Comparison of herd-level Mycobacterium avium subsp. paratuberculosis prevalence by qPCR based on different target genes","PresentationBio":null,"Title":"Ms.","FirstName":"Larissa","LastName":"Martins","Position":"Msc Student","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Johne’s disease, diagnostic comparison, environmental samples

Abstract

Objectives. Detection of Mycobacterium avium subsp. paratuberculosis (MAP), the bacterium causing Johne’s disease, based on quantitative PCR (qPCR) from DNA extracted from environmental fecal samples is a cost-effective detection method with. The sensitivity of this method partly depends on the genetic target. The commonly used F57 gene is MAP-specific but only one copy of this gene is present in the MAP genome. Therefore, the aim of the study was to compare the test the sensitivity of a qPCR assay targeting the ISMAP02 gene, which has 6 copies, with an assay targeting the F57 gene to detect MAP in environmental fecal samples.

Materials and methods. Samples from the barn environment were collected on 22 Alberta dairy farms. At each farm, 3 samples were collected from lactating cow and manure storage areas. DNA was extracted followed by qPCR targeting F57 and ISMAP02 genes.

Results. Of the 22 farms, 13% of farms were MAP-positive for both genes with an additional 68% of farms were also ISMAP02-positive. Test agreement existed in all 18 out of 132 environmental samples that tested positive in qPCR using F57 and also using ISMAP02. However, an additional 93 samples only tested positive using ISMAP02. Finally, 21 samples tested negative in both qPCR targets. Additional results will be presented using USDA panel samples with known status to exclude false positive and false negative test results.

Conclusions. The ISMAP02 target-gene was more sensitive to detect MAP in environmental samples compared to F57 target gene. To further optimize prevalence estimations based on direct PCR of environmental samples, additional MAP-specific genes will be included in the final analysis to select the most sensitive and specific target for MAP detection.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Larissa Martins","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Exploring the impacts of a BVD eradication programme using spatial cluster analyses","PresentationBio":null,"Title":"Mr.","FirstName":"Jude","LastName":"Eze","Position":"Quantitative Scientist","Organization":"Scotland's Rural College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Persistent infection of farms with Bovine Viral Diarrhoea Virus (BVDv) may depend on the spatial distribution of the farms. Herds in proximity are more likely to experience similar infections compared to those more distant. Spatial correlation can indicate the degree of proximity of infected farms and its variation over time may show the effects of targeted efforts towards elimination. As eradication schemes progress, clusters are expected to change as more and more farms become disease free. We examine the systematic spatial variation among herds in a BVD eradication scheme, identify clusters of infection, how clusters changed over time and likely risk factors associated with herd infection.

Materials and methods: The Scottish BVD eradication scheme started as a voluntary programme in 2010 becoming mandatory in 2013. Data recorded by the Scottish Electronic Identification Livestock Traceability Research (ScotEID), comprising all cattle herds with at least one virus test from the inception of the programme till 2020 were used for this study. Using spatial point patterns techniques, we investigated the existence of BVD spatial clusters, estimated average nearest neighbour distance and the association between herd size and clusters. Global and local indices of spatial autocorrelation were examined for each year to help understand changes in clusters over time.

Results: Results show far more clustered patterns of BVDv positive farms than expected under complete spatial randomness. Changes in the slopes of Moran’s I and nearest neighbour distances reflect likely influence of the eradication scheme on the clusters. Herd size was strongly associated with clustering.

Conclusion: Knowledge of the clustering of disease can provide insight on the dynamics of infection and potentially assist targeted control measures. Future BVD surveillance will benefit from the results of this study including derivation of sample size and selection of sampling units.

Keywords: Spatial clusters, BVDV, Point pattern, autocorrelation
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","33998207-8c57-4717-9114-ccf9182e92bf","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Jude Eze","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Mapping trends in antimicrobial resistance in food animals in Europe between 2000 and 2021","PresentationBio":null,"Title":"Miss","FirstName":"Ranya","LastName":"Mulchandani","Position":"","Organization":"ETH Zürich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
Antimicrobial resistance (AMR) is a growing threat to animal and human health. In Europe systematic surveillance networks have been in place for decades but only provide an overview of AMR trends at national level. Sub-national maps could help identify geographic patterns of resistance between regions or within countries. Here, we disaggregate trends in AMR in animals at 10 x 10 kilometers in 32 European countries.

Materials & Methods
We mapped AMR prevalence in non-typhoidal Salmonella, Campylobacter and Escherichia coli in cattle, pigs, and poultry. We combined the prevalence of AMR estimated at country-level (European Food Safety Authority) with prevalence of AMR sampled at individual locations. Prevalence of AMR at individual locations were extracted from point prevalence surveys. A map of AMR prevalence was generated by stacking predictions from boosted regression trees, LASSO regression, and generalized additive model. Trends in AMR were summarized using P50: the proportion of antimicrobial compounds with resistance higher than 50%.

Results
We identified 348 point prevalence surveys reporting 7,911 AMR prevalence estimates at individual locations, and 29,967 AMR rates at country-level. The highest AMR levels were identified in North-Eastern Spain (Aragon, Navarra, Castilla la Mancha), Eastern and Western Romania (Crișana, Moldova), and Northern Hungary (Figure 1).

Conclusion
Combining country-levels estimates with point prevalence surveys showed contrasted geographic patterns of AMR within countries and between regions.

Figure 1. a) Locations of point prevalence surveys, with size of circles representing number of isolates (log10) and colour depicting P50. b) Predicted distribution of P50 across 32 European countries.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fe3824fed35144babad87c36eedfae5f","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Ranya Mulchandani","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Use of CRISPR-SeroSeq to detect multiple Salmonella serotypes in equine fecal samples","PresentationBio":null,"Title":"Dr.","FirstName":"Emily","LastName":"Herring","Position":"Graduate Research Assistant","Organization":"University of Georgia","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: By convention, Salmonella shedding status among horses is characterized using a single isolate per sample. However, in a recent longitudinal study, we found that 18% of horses shed multiple serotypes and that the majority of these horses were subclinically affected, suggesting a healthy gastrointestinal microbiome may restrict proliferation of a single serotype. CRISPR-SeroSeq is a novel sequencing technology that can identify multiple Salmonella serotypes in a single sample. The objective of this study was to employ CRISPR-SeroSeq to compare serotype diversity between horses with clinical and subclinical salmonellosis.

Materials and methods: Thirty-five Salmonella-positive horses (12 clinical, 23 subclinical) identified through a network of veterinary hospitals in the U.S. were included. DNA was isolated from frozen Salmonella-positive tetrathionate-enriched fecal cultures (n = 35) derived from a prospective longitudinal study. Salmonella CRISPR sequences were PCR-amplified, barcoded for indexing, and pooled libraries were sequenced to determine serovar diversity.

Results: Among 35 horses included in this study, multiple serotypes were detected in enriched cultures from 7 horses (20%). Serotypes most commonly found in combination with others included Oranienburg, Javiana, Newport, and Typhimurium. CRISPR sequences were successfully amplified in 69% of samples (24/35); PCR cycles ranged from 25-28 indicating a low level of Salmonella shedding among these horses.

Conclusions: Horses, particularly those with subclinical infections, can shed multiple Salmonella serotypes. CRISPR-SeroSeq may provide a more sensitive method to identify serotypes shed at low levels within a fecal sample and an opportunity to determine the clinical significance of multi-serotype infections in horses.

Keywords: equine, Salmonella, diagnostic testing
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","a40f7453-5dfa-4c22-bf36-4e487526f525","df5d618c-3702-4d9c-95b6-0ad39c8b6184","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Emily Herring","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Filling the knowledge gap: the development and success of the Surveillance of Equine Strangles network in the United Kingdom","PresentationBio":null,"Title":"Miss","FirstName":"Abigail","LastName":"McGlennon","Position":"Phd Student","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0cd9221886e742e8aa5885b7f137baf1","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The Surveillance of Equine Strangles (SES) network, initiated in the UK in 2018, monitors strangles, a bacterial disease of horses caused by Streptococcus equi (S. equi), through laboratory confirmations based on agent detection assays. Improved awareness and knowledge of diagnoses facilitates improved biosecurity, decreasing the prevalence of strangles.
Objective(s) Investigate the occurrence of strangles across the UK through a veterinary diagnostic laboratory network and conduct molecular surveillance through whole genome sequencing (WGS) of bacterial isolates, facilitating phylogenetic analysis and presumptive outbreak linking.
Materials and Methods An online reporting system was developed to enable laboratories to report positive diagnoses based on detection of S. equi by culture and/or molecular assays on practitioner-submitted samples. Epidemiological data associated with samples are reported concurrently and, where possible, bacterial isolates undergo WGS. Population structure, based on core-genome alleles, is inferred using Bayesian Analysis of Population Structure (BAPS).
Results Between 01/01/2018 and 31/12/2021, 1103 laboratory-confirmed strangles diagnoses were made from samples submitted by 290 veterinary practices across all UK countries, with 58% (n=97/167) of UK regions affected. Sixty-one percent (n=676) of diagnoses had reasons for sampling provided, including ‘clinically ill’ (35%), ‘post-infection screening’ (24%), ‘strangles specifically suspected’ (11%) and ‘post-seropositive ELISA’ (9%). WGS was completed for 170 isolates recovered in 2018 and 2019, with 164 isolates belonging to BAPS-2, the predominant genetic lineage in Europe, and 6 isolates belonging to BAPS-5, a more historic European genetic lineage. Phylogenetic analyses also revealed presumptive, previously unknown links between UK strangles outbreaks.
Conclusion SES has established a laboratory reporting network for strangles in UK horses. Access to collated diagnostic and epidemiological data has greatly improved awareness of key features of strangles in the UK. WGS applied to recovered S. equi isolates is also providing additional novel insights into the evolution of S. equi and transmission pathways between horses.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","a40f7453-5dfa-4c22-bf36-4e487526f525","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"LinkedIn.com/in/abigail-mcglennon","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"LinkedIn.com/in/abigail-mcglennon","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://LinkedIn.com/in/abigail-mcglennon","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://LinkedIn.com/in/abigail-mcglennon","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Miss Abigail McGlennon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemiology of exit and outcomes for Thoroughbred racehorses participating in the 2017–2018 Australian racing season","PresentationBio":null,"Title":"Mr.","FirstName":"Kshitiz","LastName":"Shrestha","Position":"Phd Candidate","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/69c6726969194b10b9bd33e61d291003","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s):
The destinations of Thoroughbred racehorses exiting the racing industry is a high-profile issue with ethical and welfare implications of interest to both animal welfare groups and racing regulators. This cross-sectional study investigated the reasons that Thoroughbreds temporarily or permanently exited racing and training in Australia in the 2017-2018 racing season and the outcomes for these horses post-racing.

Materials and methods:
An online questionnaire was sent to the last registered trainers of a representative sample of 2,509 ‘inactive’ Thoroughbreds. Inactive horses were defined as those horses that were recorded as ‘active’ but had not trialled or raced in the last 6 months of the racing season or had an inactive status recorded in the Racing Australia database. The Generalized Random Tessellation Stratified sampling method was used to obtain a sample of a true representative of the horse population over the region.

Results:
Of the 1,750 responses received, the largest group of inactive Thoroughbreds had permanently exited the racing industry (45% retired, 5.3% deceased). A relatively large group exited racing temporarily (43%) but participated in the racing industry in the following season.
The reasons for retirement were predominantly voluntary, such as poor performance or owner’s request. Almost one third of retirements were due to injuries with tendon or ligament problems the most frequently conditions listed. The median age at retirement was five (Q1 4; Q3 7) years.
Extrapolation of the survey results to the population of horses racing or training in Australia in 2017-2018 (n = 37,750) show that that 17% of the population retire each year and 2.1% die.

Conclusion:
These estimates provide benchmarks for industry and animal welfare organisations to resource and measure the effectiveness of interventions.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a6e18364-9d10-4a4d-b5a9-4f87ce64492c","a40f7453-5dfa-4c22-bf36-4e487526f525","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Kshitiz Shrestha","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Clustering of American foulbrood in managed honey bees (Apis mellifera) in Ontario, 2015-2020","PresentationBio":null,"Title":"Dr.","FirstName":"Britteny","LastName":"Kyle","Position":"","Organization":"Ontario Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":" American foulbrood (AFB) is a highly virulent bacterial disease of managed honey bee colonies. The objectives of this study were to analyze retrospective honey bee inspection records to summarize the descriptive epidemiology of AFB inspection data in Ontario, examine temporal trends of AFB prevalence, and assess the geographic distribution of AFB cases at the colony, apiary, and operation level.

Analysis was performed on 2,789 records collected by the Ontario Ministry of Agriculture, Food and Rural Affairs apiary program on registered honey bee colony inspections during the 2015 through 2020 beekeeping seasons. Observed prevalence was calculated at the colony, apiary, and operation level; within hobbyist and commercial beekeeping operations; and for each year. Smoothed prevalence data using Bayesian estimation was used for choropleth mapping and Moran’s I analysis. The data was examined for high and low disease prevalence clusters using the flexible spatial scan test.

Prevalence of AFB was 1.6%, 4.2%, and 5.8% at the colony, apiary, and operation levels, respectively. There were no apparent temporal or spatial trends in disease occurrence. Moran’s I correlation coefficient was 0.09, 0.13 and -0.01 at the colony, apiary, and operation level, respectively. The flexible spatial scan test identified two disease clusters at the colony level with standardized mortality ratios (SMRs) of 4.54 (95% CI=3.62-5.57) and 2.42 (95% CI=2.03-2.85). One disease cluster was detected at the apiary level with a SMR of 3.14 (95% CI=2.08-4.41).

\tThe findings were consistent with low levels of endemic AFB within the Ontario honey bee population. Spatial analysis was supportive of the main mode of AFB transmission occurring within beekeeping operations as a result of management practices. These results will be useful for veterinarians working on AFB management protocols within operations, and to inform research on AFB mitigation and surveillance strategies.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ad0bbcc1-b4fd-4649-8742-3e2c59eedd41","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","df5d618c-3702-4d9c-95b6-0ad39c8b6184","7ad72e1b-a5f9-421e-92c3-1df731c30fd2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Britteny Kyle","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 11.E - Epidemiologic Principles and Methods","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-12T10:00:00+00:00","BaseEndDateTime":"2022-08-12T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-12T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T15:00:00.0000000+00:00"},{"Id":"a2e9d146-090f-4806-9173-28a92bbc0dfd","SessionBlockId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","Name":"11_Special Session: Animal Disease Spread Modelling","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":"Modelling disease spread in animals can give insights into the epidemiology and impact of diseases of animal and public health importance, and consequently, is well established as a tool to enhance decision-making for disease prevention and control. Development methods\r\nand concurrent advances in computational capacity have provided further opportunities, as well as challenges, in this field. In this special session, cutting-edge methods and their application are presented to highlight advances in several areas including ensemble modelling, parameterisation of models (data-scarce environments versus ‘big data’ environments), the challenges of incorporating social, economic and political constraints in\r\nmodels, advances in sensitivity analysis and model validation, and communication of model outcomes with stakeholders.

\r\n","Overview":"Chairs: Michael Ward, Victoria Brookes, Carsten Kirkeby & Tariq Halasa","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatial epidemic models for SARS-CoV-2 in the UK: linking probability and applied statistics.","PresentationBio":"Chris works at the interface between epidemiology, infectious disease modelling, statistics, and high performance computing. He originally trained as a veterinary surgeon, but became interested in epidemics through his experience working on the foot and mouth disease outbreak in the UK in 2001. He believes strongly in application-focused statistical research and in effective communication of scientific outputs.

As a trained vet, Chris' interests lie in decision support systems for disease outbreak response, public health and zoonotic diseases. He has applications in communicable diseases such as foot and mouth disease, vector-borne diseases such as theileriosis, and zoonoses such as campylobacteriosis. In computational statistics, he works on MCMC methods for inference on stochastic dynamical models. He has a particular interest in high performance computing techniques for applying modern statistical methods to real-time inference on large population datasets.","Title":"Dr.","FirstName":"Chris","LastName":"Jewell","Position":"Senior Lecturer In Epidemiology","Organization":"Lancaster University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
=========
During an epidemic, accurate situational awareness is required for informing adaptive control policy and for basing reliable quantitative forecasts of ongoing disease spread. Detailed epidemic models which incorporate population heterogeneity, such as spatial relationship and individual-level covariates, provide an opportunity to do this. However, their parameters must be estimated in a rigorous and unbiased way by formally fitting the model to the past history of the epidemic. Doing this is difficult due to censored epidemiologically-relevant events, such as infection times or the onset of infectiousness. For medium-sized populations -- such as a national population of farms -- data-augmentation MCMC provides an inferential technology for unbiased parameter estimation. For much larger populations, particle filtering promises much, but fails rapidly as model complexity increases. To address this issue, we provide a new approach to data-augmentation MCMC in large populations, using the example of a discrete-time spatial epidemic model for SARS-CoV-2 in the UK.

Materials and methods
==================
A discrete-time metapopulation epidemic model is constructed in which spatial administrative units are coupled using human-mobility data taken from UK Census 2011 data. A MCMC algorithm is then proposed which respects the ordering of epidemiological events demanded by the underlying epidemic model. The model is written in Python using `gemlib`, a new computational library for epidemics based on TensorFlow and TensorFlow Probability for GPU performance, modularity, and reuse.

Results
======
We present examples of model-based spatial epidemic nowcasts and projections that were passed to the UK government during the SARS-CoV-2 pandemic.

Conclusion
=========
Our work shows the potential of toplogically-aware MCMC methods for fitting epidemic models to large populations of millions of individuals. We also demonstrate the power of modern machine-learning tooling to modularise and ultimately translate cutting edge statistical developments into applied epidemiological use rapidly in emergency situations.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:05:00","EndTime":"10:20:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Chris Jewell","TimeDisplay":"10:05 AM - 10:20 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Real Time Decision Making for Livestock Disease Outbreaks","PresentationBio":"Michael Tildesley is a Professor in the Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research at the University of Warwick. He completed his Ph.D. in Astrophysical Fluid Dynamics at the University of Cambridge in 2003, but has been working in the field of mathematical epidemiology since then. His research focuses upon the development of models of infectious diseases and their utility as predictive tools. He has a particular interest in the predictive power of models in the early stages of disease outbreaks, when there is significant uncertainty regarding the spread of disease.

Prof Tildesley has strong links with policy makers, working closely with the Department for the Environment, Food and Rural Affairs, the US Department of Agriculture (USDA), the World Organisation for Animal Health (OIE) and the Food and Agriculture Organisation (FAO) upon strategies for disease control.

During the COVID-19 pandemic, Prof Tildesley has been a member of the Scientific Pandemic Influenza Modelling group (SPI-M), the modelling subgroup of the Scientific Advisory Group for Emergencies in the UK, and has been working throughout the COVID-19 pandemic upon the development of models to inform a range of policy questions in the UK.","Title":"Prof.","FirstName":"Michael","LastName":"Tildesley","Position":null,"Organization":"University Of Warwick","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a341707d6d8744e08dc33bc6e16a8ea6","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction

Mathematical Models are often used for infectious disease outbreaks to inform contingency planning and to advise policy makers during ongoing outbreaks. However, in emerging outbreaks, there is significant uncertainty in how a disease may spread and limited data may be available. Whilst models play a role in planning, it is important to explore what a model can do, as well as what a model can’t do. In regions where foot-and-mouth disease is actively circulating, models can be used to investigate what is driving transmission. In such settings, data are often incomplete and models can establish how resources may be targeted to rapidly collect data and reduce uncertainty in future predictions.

Methods

In this presentation, we explore the predictive power of models during outbreaks and how uncertainty affects the impact of intervention policies. We also discuss the importance of defining the objective of control – the optimal policy may be highly dependent upon what a policy maker is intending to achieve. By analysing the spatiotemporal pattern of outbreaks and livestock movements in endemic settings, we construct maps that can be used for determining future risk.

Results and Discussion

We show that during the early stages of FMD outbreaks, the uncertainty in spread results in an inability to accurately predict the impact of interventions. This uncertainty is resolved after the first 2-3 weeks of an outbreak. We show that reinforcement learning can be used to determine an optimal control policy dependent upon the current state of the outbreak. By analysing outbreak data, we show that modelling can be used to determine future risk and inform monitoring campaigns. Recording of livestock movements can have a significant effect upon predicting risk – community analysis of movement networks can enable future targeting of surveillance policies that take into account transmission risk through livestock movements.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:20:00","EndTime":"10:35:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Michael Tildesley","TimeDisplay":"10:20 AM - 10:35 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using multi-model ensembles to forecast foot and mouth disease outbreaks","PresentationBio":"Dr. Colleen Webb is a Professor of Biology at Colorado State University. She currently serves as the Associate Dean for the Graduate School. Her lab addresses how heterogeneity in contact patterns impacts the spread and persistence of diseases with a particular focus on zoonotic diseases at the wildlife-livestock -human interface. The Webb lab uses data-driven modeling techniques to address these questions by developing models incorporating potential mechanisms of spread and associated data sets that can be used to test hypothesized mechanisms. Her group has worked on diseases of concern for livestock like bovine tuberculosis, foot and mouth disease and avian influenza, as well as zoonotic diseases in their wildlife reservoirs such as rabies in bats and plague in prairie dogs.

","Title":"Dr.","FirstName":"Colleen","LastName":"Webb","Position":null,"Organization":"","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective

Mathematical models are increasingly used as tools for policy makers to understand, study, and forecast infectious disease outbreaks. However, it can be challenging to select a single model on which to base decisions, particularly when multiple, high-quality models provide different predictions. This problem is exacerbated by limited outbreak data, e.g., when the outbreak is ongoing. Multi-model ensemble methods provide a standardized and transparent way of producing a single, interpretable projection from multiple model outputs. This methodology, frequently and successfully used in other fields, has rarely been applied to veterinary epidemiology. Foot and mouth disease (FMD) is a major transboundary animal disease of interest to policy makers. Here we use FMD outbreaks to explore the use of an ensemble modeling method in veterinary epidemiology.

Materials and Methods

We developed the Bayesian Reliability Ensemble Average method (BREA) for use in epidemiological forecasting. The multiple models used in the ensemble are all well-established, and independently developed FMD simulation models that have been used in a policy context globally. With these models and data from multiple FMD outbreaks, we explored whether the BREA methodology improves the accuracy of forecasts early in FMD outbreaks before the outcome is known and when data are limited.

Results

Our results show that the BREA method can capture the observed data from multiple different FMD outbreaks and performs better than any single model alone. We also find that this result holds even when the models are provided with only the first two weeks of outbreak data.

Conclusion

These results suggest that the BREA method is a powerful tool for epidemiological applications where outbreak data are limited, reducing confusion by presenting a single, interpretable prediction. Ensemble modeling could therefore provide a rigorous approach to preparedness and response planning, which would benefit animal health globally.

Keywords: ensemble modeling, forecast, epidemiology","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:35:00","EndTime":"10:50:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Colleen Webb","TimeDisplay":"10:35 AM - 10:50 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Increasing realism in modelling pathogen transmission in poultry production and distribution networks: a novel agent-based modelling framework.","PresentationBio":null,"Title":"Dr.","FirstName":"Francesco","LastName":"Pinotti","Position":null,"Organization":"University of Oxford","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Poultry farming, transportation and trading activities are known to provide opportunities for transmission and rapid dissemination of infectious agents, with serious implications for food safety and risk of spillover into humans. However, the inherent complexity of such systems limits our ability to disentangle the relative contribution of individual key actor types to epidemic risk. Here, we aim to fill this gap by presenting a novel, detailed agent-based model (ABM) of poultry production and distribution.

Methods: The model involves multiple types of actors and settings, including farms, mobile traders and live-bird markets, and synthesises a wealth of poultry trade data collected in the context of a large-scale interdisciplinary research initiative. In addition, the ABM allows to simulate the spread of one or more pathogens within and between flocks, through direct and/or environmental transmission.

Results: Using avian influenza in Bangladesh as a case study, we show that our model is able to reproduce realistic networks of poultry movements, over a range of demographic and behavioural assumptions about key actors. We then illustrate how our ABM can be used to characterise chicken mixing patterns across the country, evaluate transmission risk in different settings, and re-construct simulated transmission chains which are then compared to phylogenetic analytical outputs. Finally, we assess the potential impact of the underlying network on persistence and dissemination of individual viral strains and on the co-circulation dynamics of multiple lineages in the same population.

Conclusion: Our ABM provides a novel framework that allows practitioners to characterise a wide variety of eco-epidemiological scenarios, including the emergence of novel pathogens and the introduction of public health interventions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"10:50:00","EndTime":"11:05:00","KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","502f57ff-3ea6-475b-858d-340ec3e1c6e4","5178adf1-eaeb-4d5b-8fce-b18677488f5a","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Francesco Pinotti","TimeDisplay":"10:50 AM - 11:05 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Epidemix – an online tool to make modelling more accessible","PresentationBio":"Guillaume Fournié is a veterinarian and an epidemiologist, currently based at the Royal Veterinary College (United Kingdom). With a strong interest in disease modelling and network analysis, Guillaume is exploring the way in which the configuration of livestock production systems shape the emergence, spread and maintenance of infectious diseases. He is experienced in conducting research at the interface between epidemiology and other disciplines, including virology, anthropology, economics, and archaeology. He has also a strong interest in the translation of science into policy.","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Organization":"The Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): The objective of this work was to develop an open-access teaching tool allowing users without specialist mathematical or software knowledge to learn about key concepts of infectious disease dynamics.

Materials and methods: The tool was developed to be available via the internet with a standard browser software, and to be used with any operating system, including Android, Apple IOS, Windows.

Results: Epidemix provides a visual interface for a suite of eight generic and three disease-specific models. The former allow user to explore different types of models while the later provide insight into specific features of diseases of global importance, namely African Swine Fever, avian influenza and COVID-19. Users can develop an understanding of the impact of various modelling assumptions – especially mixing patterns – on the trajectory of an epidemic and the impact of control interventions, without having to directly deal with the complexity of mathematical equations and programming languages. Models are compartmental or individual-based, deterministic or stochastic, and assume homogeneous or heterogeneous-mixing patterns (with the probability of transmission depending on the underlying structure of contact networks, or the spatial distribution of hosts). The step-by-step specification of model structure and parameters do not necessitate learning how to use the application or the reading of a user manual. Outputs are visualized as line charts, data matrices, network diagrams and tables, all of which can be exported in pdf and/or csv file format.

Conclusions: The easy-to-use interactive interface of Epidemix allows users to compare assumptions, parameters, and differences between outputs based on different assumptions. Such tools can greatly support the teaching of mathematical modelling to non-specialists – including policy makers, public and animal health professionals, students – by demonstrating key concepts of disease dynamics and control in a hands-on and accessible way.

Keywords: Application software; Infectious disease dynamics; Mathematical modelling; Teaching","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"11:05:00","EndTime":"11:20:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Guillaume Fournie","TimeDisplay":"11:05 AM - 11:20 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Tips for communicating modelling results to decision makers","PresentationBio":"Simon is an Associate Professor in Veterinary Epidemiology and Public Health in the Faculty of Veterinary and Agricultural Sciences, The University of Melbourne. He teaches epidemiology into the Doctor of Veterinary Medicine, One Health breadth subjects and the Animal Disease Biotechnology stream of the Science degree. His research focuses on modelling infectious disease outbreaks, Bayesian diagnostic test validation, zoonoses surveillance, outbreak investigation and control, with projects on COVID-19, Q fever, foot-and-mouth disease, African swine fever, Mycoplasma bovis, foodborne disease, influenzas and arboviruses. Before heading into academic, Simon worked as a consultant for the World Health Organisation and Vets without Borders in Southeast Asia, and is a founding member of an OIE Collaborating Centre for Diagnostic Test Validation Science in the Asia-Pacific Region.

","Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Organization":"Melbourne Veterinary School","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Fit-for-purpose disease models can be used to assist a range of outbreak management decisions. While the ability to estimate the likely spread of disease is the most obvious use of a model, other uses include the ability to guide decisions around when to change a control policy, how best to distribute resources (e.g., vaccination) and assessment of surveillance strategies to detect disease once eradication is believed to have been achieved.

Communication of modelling results to decision makers is an issue that deserves just as much attention as model development itself. Most would agree that implicit ‘trust’ in modelling outputs is rarely advised. At the other end of the spectrum complete distrust of modelling outputs can lead to missed opportunities for better outbreak control. The challenge for the disease modelling community is how to ensure that decision makers: (1) have confidence in modelling outputs; and (2) fully understand the impact of data quality, parameter uncertainty and stochastic variability on model outputs.

We propose three principles for communicating modelling results to decision makers. Firstly, take the time to establish an effective working relationship with your decision maker. As a modeller you play an important role ‘educating’ your colleague around the finer points of infectious disease, epidemiology, biostatistics and (sometimes) computer science. You can’t expect these complexities to be communicated or fully understood after a single meeting or email exchange. Secondly, communicate uncertainty in model outputs using graphical methods, wherever possible. Finally, encourage your decision maker to focus on broadscale model behaviours rather than place and time detail. Graphical summaries showing how the outcome of interest (e.g., number of infected places, outbreak duration) vary in response to changes to two to three key inputs parameters provide a deeper understanding of the combined (and often interacting) impact of different control measures on disease outcomes.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"11:20:00","EndTime":"11:35:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Simon Firestone","TimeDisplay":"11:20 AM - 11:35 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Panel discussion: Peeking inside the Black Box ","PresentationBio":null,"Title":"Mr.","FirstName":"Matthew","LastName":"Denwood","Position":"Associate Professor","Organization":"University of Copenhagen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Panelists
Simon Firestone
Mark Stevenson
Giles Innocent
Jessica Enright
Chris Jewell
Carsten Kirkeby
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"11:35:00","EndTime":"11:55:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Matthew Denwood","TimeDisplay":"11:35 AM - 11:55 AM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Panel discussion: Peeking inside the Black Box","PresentationBio":null,"Title":"Ms.","FirstName":"Victoria","LastName":"Brookes","Position":"Lecturer Evidence-based Practice","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[],"CoAuthors":[],"StartTime":"11:35:00","EndTime":"11:55:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Victoria Brookes","TimeDisplay":"11:35 AM - 11:55 AM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"11_Special Session: Animal Disease Spread Modelling
Chairs: Michael Ward, Victoria Brookes, Carsten Kirkeby & Tariq Halasa","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-12T10:00:00+00:00","BaseEndDateTime":"2022-08-12T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-12T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T15:00:00.0000000+00:00"},{"Id":"b3e517fe-cf58-4f9a-a3db-4c88394d0e77","SessionBlockId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","Name":"Breakout Session 11.B - One Health","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Integrating evidence from epidemiological studies and systematic risk ranking to inform prevention of zoonotic transmission of Brucella abortus. ","PresentationBio":null,"Title":"Ms.","FirstName":"Hannah","LastName":"Holt","Position":null,"Organization":"Royal Veterinary College/London School of Hygiene and Tropical Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective:
Brucellosis is a zoonotic disease imposing significant global impacts on livestock production and public health. A key-question critical to inform public health measures to prevent zoonotic transmission is the relative contribution of direct contact vs. foodborne (mostly milk-borne) routes. Our objective was to assess the extent to which prevention of zoonotic transmission of Brucella abortus should focus on milk safety vs. occupational exposure in two states of India.

Methods:
We combined cross-sectional studies of interacting human and livestock populations involving 822 dairy produces in Punjab and 300 in Andhra Pradesh with systematic risk ranking of pathogens in milk/dairy products. Risk ranking integrated existing data on pathogen survival, milk and dairy product contamination with context specific information on food safety regulations, supply chains and consumer behaviours gathered via stakeholder consultation. In Punjab, we used estimates of the incidence of brucellosis in the general rural population to calculate Disability-adjusted live years (DALY’s).

Results
In Punjab, a third of dairy producers and 9.7% of occupationally exposed people were seropositive for Brucella. Persons assisting with calving/abortion in farms with serological evidence of infection in cattle had increased odds of exposure compared to those that did not. Despite its widespread presence in dairy cattle (at high levels in Punjab), risk ranking identified B. abortus in milk as a low-medium food safety priority due to heat treatment of milk and dairy products. Brucellosis was responsible for an estimated 0.33 (95% CI: 0.12-0.69) DALYs per 1000 persons per year in rural Punjab.

Conclusions
By integrating estimates of frequency of infection and strength of association with systematic risk assessment we were able to predict that B. abortus is primarily an occupational zoonosis in both AP and Punjab State. The evidence generated here is timely given that a National Control Programme for brucellosis has been established in India.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","1431029c-0cdf-4ff9-912e-8fee50ef8438"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Hannah Holt","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Seroprevalence and associated risk factors of brucellosis, Rift Valley fever and Q fever among Chadian agro-pastoralists and their livestock","PresentationBio":null,"Title":"Dr.","FirstName":"Ranya","LastName":"Özcelik","Position":"","Organization":"Veterinary Public Health Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/30571a4162794a6fbeb62d17c790da78","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Brucellosis, Rift Valley Fever (RVF) and Q fever are endemic in most developing countries, causing high burden on human and animal health. Only few studies are available on these three zoonoses among agro-pastoralist communities and their livestock in Chad.
The objective of our study was to estimate brucellosis, RVF and Q fever seroprevalence among Chadian agro-pastoralist communities and their livestock, as well as investigate possible risk factors for seropositivity.
We conducted a multi-stage cross-sectional serological survey in two rural health districts in Chad, Yao and Danamadji. Human, cattle, sheep, goat and equine sera were collected and analyzed for seropositivity for the three diseases. The true prevalence was calculated applying a Bayesian framework for adjusting for imperfect diagnostic tests and accounting for clustering study design. Risk factors were estimated using a mixed effects logistic regression model.
The overall prevalence for brucellosis, Q fever and RVF for both regions combined was estimated at 0.1% (95% credibility Interval: 0-0.9), 49.2% (38.6-59.2) and 28.4% (23.4-33.5) in humans, and 0.5% (0-2.8), 11.0% (1.8-18.7) and 9.5% (5.3-12.7) in animal species combined. Risk factors correlating significantly with the respective disease seropositivity were sex for human brucellosis, sex and Q-fever co-infection for animal brucellosis, age for human Q fever, species and brucellosis co-infection for animal Q fever, age and herd-level animal RVF seroprevalence for human RVF, and human RVF seroprevalence for animal RVF.
In Danamadji and Yao, Q fever and RVF are notably prevalent among agro-pastoralist human and animal communities, while brucellosis rarely seems to occur. Correlation between the presence of RVF in humans and animals was detected. The outcome of this study can be used for guiding future surveillance programs and interventions aiming at enhancing the health of humans and their livestock with an integrative One Health approach.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43b008b2-8eab-460a-b708-b149b223981a","fad4e092-eee7-46ed-b4a6-a335b0f641b7","a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ranya Özcelik","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Impact of commercial poultry trading networks on zoonotic disease transmission ","PresentationBio":null,"Title":"Dr.","FirstName":"Jinnat","LastName":"Ferdous","Position":"PhD student","Organization":"The University of Queensland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives: The study aimed to assess poultry traders’ movement patterns and practices and identify how these patterns influence the occurrence of avian infection viruses (AIVs) in poultry.
2. Materials and methods: A longitudinal study was conducted in Bangladesh with 15 live poultry traders supplying Chattogram. A mixed method approach was adopted. Traders’ movements were recorded with a bespoke phone app over 3 consecutive days, thus comprising of 87 daily traders’ trips. Survey questions incorporated in the App captured details of the transactions, while oro-pharyngeal swabs collected from chickens at farms and transport endpoints, and environmental samples from vehicles were screened for AIVs. In-depth qualitative interviews with traders and employed staff provided data on perceptions, behaviors and barriers of poultry trading. Network analysis was used to describe movement patterns, and regression models to identify AIV risk factors, while thematic analysis was applied to the qualitative data.
3. Results: The median distance travelled by traders per trip was 107 km. During each trip, traders visited 1-3 farms (purchasing between 160 to 1,600 birds per farm and transporting in average 820 chicken per truck load) and supplied birds to 6-14 live bird markets or roadside trading shops. In each market, they supplied about 8 vendors. An individual market vendor would purchase a minimum of 20 and a maximum 445 chickens at a time. While all birds tested negative for AIVs on farms, some had become AIV-positive when tested at the trading endpoints. Qualitative interviews highlighted that employed staff merely follow the instructions provided by traders, including inconsistent adherence to biosecurity measures during loading and unloading of chickens.
4. Conclusions: Traders’ movement patterns and some of their practices were associated with the occurrence of AIV infection in their poultry and need to be addressed to achieve an effective mitigation of zoonotic disease risk.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","8fc4d524-a96c-44ab-af7e-21be4a6db35f","502f57ff-3ea6-475b-858d-340ec3e1c6e4","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a"],"SocialMedia":{"_twitterHandle":"mobile.twitter.com/JinnatLubna","_facebookUrl":"www.facebook.com/jinnat.ferdous.5","_linkedInUrl":"www.linkedin.com/in/jinnat-ferdous-4b4168a7","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"mobile.twitter.com/JinnatLubna","FacebookUrl":"www.facebook.com/jinnat.ferdous.5","LinkedInUrl":"www.linkedin.com/in/jinnat-ferdous-4b4168a7","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=mobile.twitter.com/JinnatLubna","FullFacebookUrl":"http://www.facebook.com/jinnat.ferdous.5","FullLinkedInUrl":"http://www.linkedin.com/in/jinnat-ferdous-4b4168a7","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":4},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=mobile.twitter.com/JinnatLubna","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.facebook.com/jinnat.ferdous.5","Font":"fab fa-facebook-square","Color":"#3b5998"},{"Link":"http://www.linkedin.com/in/jinnat-ferdous-4b4168a7","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jinnat Ferdous","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A qualitative study of British horse owners’ attitudes and perceptions of biosecurity","PresentationBio":null,"Title":"Dr.","FirstName":"Kelsey","LastName":"Spence","Position":"Assistant Professor","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fd526a79754946b3bba0c7811e241639","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Equine infectious diseases pose a significant health and economic threat to the British horse industry. While horse owners play a critical role in mitigating the risk of outbreaks, little is known about what motivates or prevents them from doing so. The aim of this study was to explore horse owners’ attitudes, perceptions, and experiences of infectious diseases and biosecurity.

Materials and methods: Semi-structured qualitative interviews were conducted with 23 horse owners within the leisure and competition sector across the United Kingdom. Participants were purposively selected to include perspectives from those in different geographic regions, with different management arrangements (e.g., private or shared yards), and length of horse ownership experience. Interviews were audio-recorded, transcribed verbatim, and analyzed using reflexive thematic analysis.

Results: Biosecurity tended to be perceived to be an all-or-nothing approach, with anything less than perfect compliance viewed as ineffective or worthless. Individual actions, such as boot dipping or sanitizing equipment, were regarded as more effort than they were worth in mitigating the risk of pathogen spread. The efficacy of a biosecurity strategy largely depended on actions of others, as individual actions could not counteract poor compliance of other horse owners. Participants attributed others’ lack of biosecurity measures to their questionable morals, describing those who did not comply with biosecurity as careless or selfish. Equating biosecurity with being a ‘good’ horse owner made it difficult for some participants to discuss poor biosecurity with others, since they did not want to be perceived as judging them.

Conclusions: This study provides new insights into horse owners’ perceptions of biosecurity, and how those perceptions may influence the uptake of recommended biosecurity practices. The findings highlight several challenges that could be addressed to improve disease preparedness within the horse industry.

Keywords: Biosecurity; Disease preparedness; Qualitative research; Equine infectious diseases; Knowledge translation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a40f7453-5dfa-4c22-bf36-4e487526f525","02f86f29-9eae-4d8d-b937-84e31f38e74d","8fc4d524-a96c-44ab-af7e-21be4a6db35f","3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Kelsey Spence","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Data gaps in antimicrobial resistance (AMR) estimates between livestock and humans in low- and middle-income countries (LMICs)","PresentationBio":null,"Title":"Ms.","FirstName":"Narmada","LastName":"Venkateswaran","Position":"Researcher","Organization":"University Of Washington","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Antimicrobial resistance; burden; surveillance gaps

Objectives: AMR is a global concern for livestock and human populations, especially in LMICs with limited surveillance. Many have identified the role of zoonosis in AMR transmission, yet few have considered how animal surveillance and human health outcomes data intersect. Our objective is to identify data gaps in human and livestock AMR burden in LMICs, using disability-adjusted life years (DALYs) to evaluate human AMR burden. By evaluating data completeness of human and livestock AMR burden, we can strengthen livestock surveillance in burdened locations.

Materials and Methods: We sourced regional estimates of DALYs due to AMR from the Global Burden of Disease. Livestock AMR surveys were sourced from resistancebank.org. We focused our analysis on resistance in Escherichia coli, Salmonella spp., and Staphylococcus aureus. Livestock species analyzed were chickens, cattle, pigs and sheep. We generated bivariate maps looking at the intersection of DALYs with livestock data availability by livestock and pathogen species, and the intersection of DALYs and livestock AMR hotspots.

Results: South Asian countries overall estimated 1.8 million DALYs globally due to AMR with significant overlap with AMR hotspots, and had high livestock data availability. Certain Sub-Saharan countries estimated high DALYs of 60,000 due to AMR but had low livestock data availability. Contrastingly, Latin American countries estimated 27,000 DALYs due to AMR but high livestock data availability. Pathogen-specific analyses showed that LMICs maintained livestock data availability despite a large drop in Salmonella spp. burden.

Conclusion: We identified data gaps in human and livestock AMR burden in LMICs, specifically highlighting countries with high DALYs and low livestock data availability. Future livestock surveillance and data collection can be strengthened in these locations. Source attribution work in analyzing zoonotic transmission potential is concurrently needed in fully understanding which livestock reservoirs and pathogens contribute towards AMR burden.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","f3a1f750-ccc7-4a27-8389-07ca6fe98821","0c879798-e821-4cff-bf7e-791d4b78ec7f","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Narmada Venkateswaran","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"One Health Field Epidemiology Competency development: a survey on Field Epidemiology Training Programmes in public health and veterinary public health","PresentationBio":null,"Title":"Mrs.","FirstName":"Barbara","LastName":"Alessandrini","Position":"Head, Capacity Building Department","Organization":"World Organisation for Animal Health","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2917bde6d06f4a3e8e5fc7f16c75598e","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
One Health (OH) field epidemiology competencies for public, animal, and environment health sectors at the frontline, intermediate, and advanced levels, were developed by an FAO/OIE/WHO (Tripartite) project. The competency framework includes fourteen domains covering knowledge, skills, and competencies needed by epidemiologists working in a OH context at district, regional, and national/international level. In parallel, a desk-review survey was carried out to compare the new OH competencies to the existing programmes, to identify overlaps and gaps.

Materials and methods
An online survey was proposed to 116 stakeholders from all the world, representing Field Epidemiology Training Programs (FETP) and FETP for Veterinarians (FETPV) at regional, national, or local level. The on-line survey was structured into the 14 domains of the Tripartite Field Epidemiology Competency Framework. Participants were asked to identify the subdomains under each domain available in the training programmes they represented and for which level (i.e. frontline, intermediate, and advanced). They were also asked to identify the new competencies they wished to add to the existing programmes.

Results
Eighty-five respondents from 47 countries completed the survey; 56% represented national and 14% regional FETP/V. Surveillance systems, field investigations, epidemiological studies, and data management and biostatistics were the most common domains. Covid surveillance, public health management, project management, scientific communication, risk assessment, risk communication, outbreak and case investigation, molecular epidemiology, software application, risk-based surveillance, public health emergency management, economics, epidemic analysis for response decision making, emerged as desired sub-domains.

Conclusion
The investigation highlighted the strengths of existing FETP/FETPV, but also the critical capacity of programme managers to identify opportunities and areas for training improvement. The Tripartite One Health Field Epidemiology Competency Framework will therefore provide a robust basis for FETP/FETPV re-design and a unique and comprehensive scheme for a new OH field epidemiologists’ generation.

Key words
Training, field epidemiology, one health, competency
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["978aef2c-117a-4e1c-b105-03f159c579de","8fc4d524-a96c-44ab-af7e-21be4a6db35f","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","1431029c-0cdf-4ff9-912e-8fee50ef8438","02f86f29-9eae-4d8d-b937-84e31f38e74d","07442f92-20d6-40eb-b297-c4897bc5781e"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Barbara Alessandrini","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 11.B - One Health","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-12T10:00:00+00:00","BaseEndDateTime":"2022-08-12T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-12T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T15:00:00.0000000+00:00"},{"Id":"a16a66a7-b71c-46e1-924e-61f777a167f6","SessionBlockId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","Name":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A study to identify and evaluate factors associated with sheep scab control by sheep farmers in Great Britain ","PresentationBio":null,"Title":"Miss","FirstName":"Alice","LastName":"Smith","Position":"Phd Student","Organization":"School of Veterinary Medicine and Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Sheep scab is one of the most important ectoparasitic diseases of sheep in Great Britain. The effective management of sheep scab has proved to be a challenge despite several industry-led initiatives to manage the disease. Little is known about sheep farmers’ practices and opinions on sheep scab control.

Objective
This study aims to gain an understanding on beliefs and decisions made by farmers when managing sheep scab in their flocks.

Materials and Methods
An online survey on management practices and farmers beliefs associated with sheep scab control was developed. The survey was publicly available on social media and was also sent to sheep farmers by various sheep farming groups. Exploratory factor analysis (EFA) was used on the farmers’ belief statements to identify latent constructs within the data. Item response theory (IRT) models were then applied to evaluate how well the items contributed to the scales. Associations between farmer practices and their beliefs were explored using multivariable logistic regression.

Results and conclusions
A total of 725 sheep farmers completed the survey. Nearly 53% (314/725) of respondents had experienced sheep scab in their flocks before and nearly 22% (157/725) of respondents had experienced their last outbreak of sheep scab in 2020 or 2021. One fifth (151/725) of respondents agreed or strongly agreed that getting sheep scab in their flock sooner or later was unavoidable.

The EFA identified five factors expressing farmers beliefs: luck, control, responsibility, governance, and trust. The analysis identified novel factors that might influence farmer decision making when controlling scab. IRT analysis indicated that the scales were good at discriminating those respondents with high perceptions of luck and low perceptions of control and responsibility, which may be beneficial to target those respondents to have the most impactful progress to reducing sheep scab prevalence.

Key words: sheep scab survey beliefs decisions
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The economic impact of the disease was estimated from outbreak investigation and interviews of 233 smallholder farmers in PPR affected sub-districts. The cost of PPR vaccination was obtained from vaccination programs in six sub-districts and from secondary data from the district veterinary office. In investigated PPR outbreak, animal level PPR morbidity and mortality were, respectively, 50.7% and 21.6% in sheep and 51.3% and 25.1% in goats. In the sub-district 82.7% of sheep flocks and 87% of goat flocks had PPR. The mean flock level loss for affected sheep flocks was USD 329 (95%CI: 250 -408) and USD 300 (95%CI: 247-353) for affected goat flocks. The losses in all study flocks (including those without cases) during the outbreak equated to USD13.4 per sheep and USD12.9 per goat. Mortality accounted for more than 70 % of the total losses in both sheep and goat flocks. Vaccination costs for PPR was estimated at USD 0.13 per correctly vaccinated animal, with delivering the vaccine to the animal accounting for 44% of vaccination costs. Based on the estimated animal level economic losses from PPR and vaccination cost, it can be conjectured that vaccination will pay if outbreaks of PPR in the district occur more often than once every 13 years, without considering the sizeable long-term and indirect benefits of PPR control.
In conclusion, PPR causes high morbidity and mortality resulting in high economic loss, significantly reducing the income and livelihoods of sheep and goat producers, and other value chain actors. Vaccination reduces PPR impact in a cost-effective way and strengthening vaccination programs is likely to reduce economic impact and improve livelihoods.
Keywords: Peste des petits ruminants, Economic, Ethiopia, Outbreak, Small ruminants, Vaccination.
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Peste des petits ruminants (PPR) is a highly contagious disease with morbidity and mortality in small ruminants. Information about its epidemiological patterns is currently insufficient to develop appropriate control strategies in Plateau, Nigeria. This study aimed at identifying the distribution of the disease and the prevalence in sheep and goats, as well as at investigating the potential risk factors.

Material and methods
A sample of 200 villages were investigated across the 17 Local government areas (LGA) of Plateau. In each village, serum samples were collected from 10 animals in two different herds. Presence of antibodies was evaluated using ELISA test. We considered a village positive if at least one animal was positive. We applied a mix model with nested random effects of LGA, villages and herds to account for the aggregation structure of the sampled animals.

Results
In total, we sampled 2000 animals, 766 sheep and 1234 goats. The prevalence of positive villages was 84% with no significant difference across the LGA. Seroprevalence was higher in sheep (38.2%) than in goats (29.7%), and in adults (36.7%) than in young animals (29.3%). However, there is no significant difference between males and females. Lowest seropositivity level was observed in the local breed for goats and in Yankasa breed for sheep. Herds with a large size and made up exclusively of sheep were associated with higher seroreprevalence.


Conclusion
The findings of this extensive seroprevalence survey imply that there is a widespread occurrence of PPR among small ruminants in Plateau. They also suggest that PPR is one of the major disease militating against sheep and goat production that call for effective control measures. Combined with other data generated by mobility, participatory epidemiological and socio-economics surveys, these results will support the development of effective preventive and control measures.

Keywords
PPR, Nigeria, seroprevalence.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","24501ada-9012-4768-b364-fce65f237042","7d91534a-2f2b-447f-830f-6178f301b1a3"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Marion Bordier","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An episystem approach for the Peste des Petits Ruminants global eradication program","PresentationBio":null,"Title":"Dr.","FirstName":"Laura","LastName":"Falzon","Position":"","Organization":"FAO","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Following the successful eradication of rinderpest in 2011, efforts are currently underway for the global eradication of Peste des Petits Ruminants (PPR) by 2030. PPR is a widespread and devastating disease that primarily affects sheep and goats; wild small ruminants, buffaloes, cattle, camels and pigs may also be infected but these usually act as dead-end hosts. Globally, there are 69 countries and 1 zone that are officially free of PPR; another 70 countries have never reported the disease while 69 countries are currently infected. These infected countries are primarily found in Africa, Asia, and the Middle East, and are grouped together in nine sub-regions. Over the past year, regional workshops have been organized to evaluate the first phase (2017-2021) of the global eradication program and plan the next steps. During these workshops, the formal and informal movement of animals, both locally and across national borders, was highlighted as one of the impediments to controlling the disease. Recognizing that PPR epidemiology usually goes beyond national borders or regional groupings, adopting an episystem approach for controlling and eradicating PPR has been suggested. A disease episystem is defined as an interconnected host (sheep and or goat) population capable of maintaining circulation and transmission of a virus indefinitely. This may comprise one large population or, more frequently, smaller populations that are inter-linked through pastoral movements or value chain activities. Defining the episystems present in a region therefore requires an understanding of the host population and their contact patterns, mapping the small ruminant value chain and the actors involved. This needs to be supplemented by genome sequencing to identify the circulating viral lineages and their linkages across populations. Such an integrated approach based on descriptive, participatory, and molecular epidemiology will allow for the design of more targeted and coordinated efforts towards achieving PPR eradication globally.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["24501ada-9012-4768-b364-fce65f237042","7d91534a-2f2b-447f-830f-6178f301b1a3"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Laura Falzon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Environmental, productive and animal associated factors influencing the presence of high strongylus eggs per gram counts in sheep","PresentationBio":null,"Title":"Dr.","FirstName":"Luis Pablo","LastName":"Herve Claude","Position":"","Organization":"Ross University School Of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/60d8632643d94c52aa8373fdfa271698","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction
Sheep strongylus infestations are a major burden worldwide, especially grazing animals. In southern Chile, there is a relevant population of sheep, that provides source of income through meat, wool and, in a minor extent, milk and cheese to a large segment of rural indigenous people. This study used a targeted convenience sample of indicator farms in the Araucanía region, to identify risk factors associated with higher strongylus infestations.

Materials and methods
Ten sheep farms were sampled for a 3-year period, once per season (4 times a year), totaling 12 sampling events per farm. A group of between 20 to 30 sheep were sampled through rectal stimulation and coprological analyses were performed using McMaster to calculate the eggs per gram (EPG) count. General productive information, plus local weather data was collected. A logistic regression model using PROC GLIMMIX in SAS was developed (Backward selection) considering the sampling event and the farm and random factors, to identify risk factor associated with high EPG (>200 eggs per gram count) in adult sheep.

Results
Results indicated an average of between 88 and 244 strongylus EPG per farm. Winter was the season were higher infestation levels were observed in average with 373 EPG. In contrast, Summer showed much lower levels with only 173 EPG. Body Score Condition indicated significant differences with BCS 2 showing the highest infestation levels (373 EPG) vs BCS 4 with the lowest (173 EPG). Modelling indicated that main risk factors for >=200 EPG strongylus infestation levels were Season, body score condition and humidity.

Conclusions
Main conclusions are that, although season and humidity cannot be controlled, management to ensure proper BCS when in that period may prove a major component on reducing strongylus infestations and its negative consequences in grazing sheep in southern Chile.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3","26b4b891-ec44-4aba-abc6-e9254d87df53"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Luis Pablo Herve Claude","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Managing fasciolosis and triclabendazole resistance in hill sheep through a participatory process","PresentationBio":null,"Title":"Ms.","FirstName":"Bryony","LastName":"Jones","Position":"Senior Epidemiologist","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background: Fasciolosis (liver fluke infection) is an important disease of hill sheep in Great Britain. Disease management is complicated by the emergence of resistance to the important flukicide, triclabendazole.
Objectives: This project aimed to develop a participatory approach for hill sheep farmers to combine their knowledge and expertise with that of veterinarians and specialists, to explore, implement and evaluate solutions for fasciolosis control.
Methods: The project was led by the Farmer Scientist Network (Yorkshire Agricultural Society) in collaboration with The Farmer Network, with expertise from the Animal and Plant Health Agency, University of Liverpool, and Royal Veterinary College. Two groups were formed of farmers interested in managing fasciolosis in Cumbria and Yorkshire Dales. Facilitated by The Farmer Network, the farmers met regularly during the three-year project, in-person and via Zoom, to discuss their experiences of fasciolosis impact and its management. Specialists and the farmers’ veterinarians were invited to share the latest knowledge on managing liver fluke. The farmers recorded their flukicide use on a mobile phone App, and were offered free diagnostic testing for liver fluke and triclabendazole efficacy.
Results: The farmers improved their understanding of the fluke life cycle and control through grazing management and appropriate use of flukicides. App data showed a reduction in flukicide use during the project due to more strategic dosing with the correct type of flukicide. The farmers used diagnostic test results to make better decisions about timing of fluke treatments, saving the cost of unnecessary dosing and avoiding overuse of flukicides.
Conclusion: Farmer-led groups were effective for complex problem solving and promoting sustainable fasciolosis management. This approach could be adapted to address other disease problems. The process strengthened relationships between farmers and their vets by bringing them together to share knowledge and experience to develop feasible solutions.
Key words: fasciolosis, participatory, anthelmintic resistance","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3","43f42602-f380-4a8a-9da3-ce05b383dc09","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Bryony Jones","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Seroprevalences and risk factors for abortion causing zoonotic agents in small ruminant production systems in Ethiopia","PresentationBio":null,"Title":"Dr.","FirstName":"Gezahegn Alemayehu","LastName":"Ayalew","Position":"Research officer","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ffe31ec69e7b4d11828c251ee557f562","IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: To estimate seroprevalence and risk factors for key zoonotic abortion-causing pathogens in small ruminants in three production systems in Ethiopia.
Material and methods: A cross-sectional study were conducted between July 2018 to February 2019 in five districts of Ethiopia representing three different production systems (Pastoral, Agropastoral, Mixed crop-livestock). A total of 1,402 serum samples were collected and tested for the presence antibodies for four abortion causing pathogens (Coxiella burnetii, Brucella spp., Chlamydia abortus and Toxoplasma gondii). These pathogens cause a range of symptoms in humans including fever, abortion, respiratory disease, encephalitis and death.
Results: From the samples tested there were 231 (16 %) seropositive for C. burnetii, 95 (7%) for Brucella spp., 124 (9%) for C. abortus and 137 (11%) for T. gondii. Multilevel mixed-effects logistic regression modelling showed an animal’s risk of C. burnetii seropositivity increased by 4.16(P≤0.001) time in agropastoral production system than mixed crop-livestock. Agroecology, housing type and birth product disposal practices significantly affected odds of Brucella spp. seropositivity. The presence of dogs in the household and housing type were risk factors C. abortus infection. Seroprevalence of T. gondii was significantly affected by age of the animals, flock mix and grazing pastureland ownership. This study found three-quarters of animals were seropositive for more than one of the four pathogens tested.
Conclusion: Infectious causes of zoonotic abortion are highly prevalent in Ethiopian sheep and goats and will cause major losses across the major production systems. As well as production losses through abortion and impaired reproductive performance these pathogens pose a major public health risk to producers and their households, as well as to consumers and the wider community.
Key words: Abortion; Co-infection; Goat; Multi-pathogens; Risk factors, Sheep

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gezahegn Alemayehu Ayalew","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A pilot study to determine Coxiella burnetii environmental contamination in and around a Coxiella burnetii-positive dairy goat farm","PresentationBio":null,"Title":"Dr.","FirstName":"Hasanthi Abeykoon","LastName":"Abeykoon Mudiyanselage","Position":"Graduate Student","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/120b5202f42c48feb2f0ed58b0a334ae","IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Key words: Coxiella burnetii, environmental microbiology, Q fever, dairy goat, PCR

Objectives
The risk that intensively managed Coxiella burnetti positive dairy goat herds pose to nearby residents in an Australian context is largely unknown. The objective of this study was to establish sampling protocols for a larger study to comprehensively assess the level of C. burnetii environmental contamination in and around an intensively managed Coxiella burnetti positive dairy goat herd.

Materials and methods
Environmental samples were collected from inside kidding sheds and were tested with the com1 qPCR. Air, soil, and water samples were taken from sites immediately adjacent to the kidding sheds while soil was collected along transects from 500 m to 3 km from the kidding shed boundaries. Soil samples were screened with the IS1111 qPCR. The soil DNA extraction and com1 qPCR protocol was validated to determine the limits of detection (LoD) and the limit of quantitation (LoQ).

Results
The environment inside the kidding shed was highly contaminated with C. burnetii. C. burnetii concentrations markedly reduced once outside of the kidding sheds and a low level of contamination was seen just inside the farm border. The soil DNA extraction and com1 qPCR was 0.47% efficient with LoD of 10^6.12 and LoQ of 10^8.65 GE/g.

Conclusion
This study demonstrates a high level of C. burnetii contamination adjacent to kidding sheds which reduces in proportion to the distance from kidding shed boundaries. The intermittent weak positives beyond the farm border could be due to soil contamination by wildlife. Investigations are ongoing to understand the drivers and persistence of C. burnetii contamination on this farm.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a424daba-5d1a-4f4a-9bf5-d16c5f51514c","8fc4d524-a96c-44ab-af7e-21be4a6db35f","7d91534a-2f2b-447f-830f-6178f301b1a3"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Hasanthi Abeykoon Abeykoon Mudiyanselage","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-12T10:00:00+00:00","BaseEndDateTime":"2022-08-12T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-12T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T15:00:00.0000000+00:00"},{"Id":"59a6345c-0a5e-4145-929d-90dd09b5ca21","SessionBlockId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","Name":"Breakout Session 11.A - ISESSAH","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Fertility lags behind to be perceived a problem in farms affected by extreme weather – A qualitative study ","PresentationBio":null,"Title":"Dr.","FirstName":"Gabriela","LastName":"Olmos Antillón","Position":"Researcher","Organization":"SLU","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4ffa7f27e28f4d888231ceb5c61f09c9","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In Sweden, the \"extreme\" summers (e.g. warm, dry) are becoming the new normal and adaptation is necessary due to the severe impact on dairy farmers. As the perception of a situation impacts decision-making, farmers' recognition of issues associated with extreme weather, e.g. heat stress, will impact mitigation actions and thereby future resilience. This study aimed to increase the understanding of these perceptions.

We used data from the Swedish milk and disease recording system from 2016-2019 to map seasonal dairy cow health and productivity trends. Using somatic cell count (SCC) and fertility measures, 45 farmers located in different regions, including farms heavily (cases) and less (controls) impacted by summer, were recruited and surveyed twice. Also, in-depth conversations with 18 participating farmers were voice-recorded, transcribed and thematically analyzed.

Summer was associated with reduced milk production and increased SCC on a national level. The impact on the herd fertility was most clearly observed as shift in the calving pattern with an increase in calvings during spring. In conversations, farmers perceived and described a direct connection between heat/dry weather and increased SCC and refered to immediate actions that could be applied. However, although farmers also described fertility issues, like animals not showing heat or calving out of time, they did not associate these with extreme weather events, nor mentioned defined actions that could aid them. In addition, farmers failed to associate impaired fertility and long term farm consequences resulting from uneven calvings, which farmers often mentioned as a problem that increased workload and shifted farmers priorities during summer.

Our study suggests that dairy farmers oversee the impacts extreme weather can have on fertility due to the lag between events and consequences. Thus, we propose increasing awareness about heat and fertility impacts and discussing tools/actions that may improve farm readiness. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","26b4b891-ec44-4aba-abc6-e9254d87df53"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Gabriela Olmos Antillón","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"What is the gap between achieved and ideal production in livestock? A swine example","PresentationBio":null,"Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/633f255b1eb34590beab552af459b91d","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Livestock provide animal source protein, nutritional, social and economic security for people across the globe, particularly for those living in low-and-middle-income countries and marginalised communities. Despite this reliance on livestock, animal health infrastructure and services in these communities remain inadequate and underfunded. The Global Burden of Diseases (GBADs) programme will provide evidence to support investment decision-making for livestock health, ensuring efficient resource use. Within the GBADs analytical framework, the Animal Health Loss Envelope (AHLE) is calculated to establish production loss in livestock sectors, relative to an ideal scenario and once calculated it can be attributed to health issues and accidents, providing a tool to estimate their impacts across the economy.

Materials and methods
Data from intensive USA and UK swine and poultry growing units were collected and fitted into multivariable mixed regression models to begin estimating the AHLE in these systems. Production rates including growth, food conversion and mortality were estimated using management (month of placement etc) and health (vaccine status, antimicrobial use, lesions etc) variables, with year and producer fitted as random effects.

Results
Fitted models were used to predict ideal livestock production-levels for these populations and current performance-levels relative to ideal. Variables explaining the largest proportion of production variation were then be used to identify where investments should be made to improve production. Month of placement and porcine reproductive and respiratory syndrome status of sow herds contributed most to variability in average daily gain and food conversion.

Conclusion
Intensive production data can be used to estimate losses in production across industries, between producers and between batches within producers. The more data we have made available on management and health related factors that affect production, the closer we can get to estimating optimal production levels for these systems, and most importantly, the major factors causing deviation from optimal.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Jonathan Rushton","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Ensembling value chain and trade networks as a basis for cost effective surveillance in rural chickens in the Eastern Cape Province of South Africa","PresentationBio":null,"Title":"Dr.","FirstName":"Vincent","LastName":"Simbizi","Position":"State Veterinarian","Organization":"University of Pretoria and James Cook University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d6828fee2a9d4b67a7db400e64e577cf","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Despite the benefits of rural chickens in the Eastern Cape Province (ECP) of South Africa, this sector is still underdeveloped and poorly surveyed for poultry diseases. The lack of a sustainable disease surveillance system coupled with communities and practices where the interactions between birds are high, emphasize the need for targeted surveillance.
1. Objectives
To evaluate the possibility of combining rural chicken value chain and social network analysis (SNA) for informing targeted surveillance within rural ECP where scarce resources constitute a big challenge.
To use the value chain analysis (VCA) to understand the barriers to market entry for rural chicken farmers.
2. Materials and methods
A survey which involved a rural chicken VCA that also included an assessment of trading practices to identify biosecurity hot spots and an identification of barriers to market entry for rural farmers was conducted. Secondly, a SNA of chicken movements in the province was carried out to identify trade hubs that could be targeted for disease surveillance based on their centrality within the network and their size and influence within their ego networks.
3. Results
Traders and their transport vehicles were identified as biosecurity risk hotspots that could be targeted for disease surveillance within the chain. SNA identified three municipalities as trade hubs where interaction between rural chickens occurs and resources can be focused. The main barriers to market entry included production constraints and current policy.
4. Conclusion
This is the first study to formally describe chicken trade networks within the ECP and the surrounding region. It provides a model for cost effective targeted surveillance in the ECP and similar resource poor regions. It also describes the barriers to market entry for farmers and factors hampering the profitability and expansion of this sector.
Keywords: targeted surveillance, hot spots, value chain analysis, rural chicken, trade networks
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","394ab6d0-b3d6-4faa-b3ad-cc79e56f219f","3c19c60b-bf2c-4701-b93e-3b18208e3913","978aef2c-117a-4e1c-b105-03f159c579de"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Vincent Simbizi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Factors associated with vaccination uptake in UK companion animals ","PresentationBio":null,"Title":"Ms.","FirstName":"Shona","LastName":"Bloodworth","Position":"","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/08094a7cd90440099a67f17b561acd6d","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
This study aimed to estimate vaccination uptake in UK cat and dog populations. It also explores the temporal, spatial and human socioeconomic factors that may be associated with vaccination uptake in companion animals, with the aim of improving understanding of the rationale behind owner’s choice to accept or reject vaccinations on behalf of their animals.

Materials and methods
Electronic health records from approximately 10% of UK first opinion veterinary practices were used to gather the vaccination records of 294,888 cats and 617,740 dogs.
Animals who had at least one record of a vaccination event were considered to be vaccinated. To explore factors associated with vaccination uptake, a generalised additive mixed model approach was used. Neutering, sex, index of multiple deprivation associated with owner postcode and year of birth were included as fixed effects, whereas veterinary practice was included as a random effect.

Results
Vaccination rates were higher in dogs than cats; 80.6% (CI 80.5-80.7%) of dogs and 72.3% (CI 72.2-72.5%) of cats had a record of a vaccination event. In both cats and dogs, neutering was positively associated with an animal having a vaccination recorded, dogs (OR 1.82, 95% CI 1.81- 1.83); cats (OR 2.17, 95% CI 2.17 - 2.17).
Animals of owners living in the most deprived quintile were less likely to have a record of vaccination. Exploration of vaccination uptake over time found animals born more recently to be more likely to have a vaccination recorded.

Conclusion
Despite guidelines recommending all companion animals receive at least one core vaccination, over 20% of animals in this study had no record of a vaccination event. Factors associated with vaccine uptake reported will be used to inform ongoing qualitative research in this area, along with development of targeted information to encourage uptake of vaccination in companion animals across the UK.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["c0c76c20-a7ea-4e61-af24-1ffb79f9f561","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Shona Bloodworth","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Being insured promotes riskier behaviour – how animal health interventions for village chickens influence farmers’ perceptions on the prevention of poultry diseases","PresentationBio":null,"Title":"Dr.","FirstName":"Suman Das","LastName":"Gupta","Position":"Post-doctoral Research Fellow","Organization":"The University of Queensland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives: The objective of this research was to evaluate farmers’ perceptions before and after interventions were introduced to improve health of village chickens.
2. Materials and methods: A 12-month intervention study was conducted in Myanmar to overcome constraints to village chicken production. Interventions included Newcastle disease (ND) vaccination and improved chick management. Following Health Belief Model (HBM) framework, 81 village chicken farmers were surveyed before and after interventions to determine the level of change in farmers’ knowledge and perceptions about ND. Marginal homogeneity tests were used to compare level of change in farmers' matched responses to individual survey questions. Confirmatory factor analysis and Structural Equation Modelling were used to identify and compare HBM latent variables describing farmers’ perceptions before and after interventions.
3. Results: Interventions resulted in 33% more chicks surviving, which resulted in increased sales of birds after they had reached market age. Farmers acknowledged value of protecting birds from ND after the interventions to increase their income (p=0.0002). Farmers were also more willing to overcome barriers to vaccination (i.e. ‘catching’ birds for ND vaccinations) after the interventions (p=0.0388). Surprisingly, farmers became ‘less active’ in ensuring good biosecurity practices after the interventions: fewer farmers were willing to observe disease signs in village chickens (p<0.001) and fewer farmers buried dead birds (p<0.001). Interestingly, after interventions, fewer farmers were concerned about the risk of birds becoming infected with ND virus. The HBM component “perceived susceptibility of birds” was significantly reduced (p=0.014) after interventions: thus, less farmers were concerned about ND when using management practices associated with high risk of ND transmission (e.g. cock fights, no confinement).
4. Conclusion: Our results highlight the importance of implementing information campaigns alongside animal health interventions to ensure farmers maintain a high level of biosecurity.

Keywords: village chicken, Newcastle Disease, perception, Health Belief Model, intervention

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["6d2507a9-e756-4ab4-ae03-e679e391c7e6","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Suman Das Gupta","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The veterinary profession’s contribution to animal health surveillance in Australia","PresentationBio":null,"Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Organization":"Charles Sturt University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7779f4452f134313bf967a7fcb071c09","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Animal health surveillance is crucial for early detection of emergency animal diseases and a rapid and effective responses. Surveillance systems are however complex and rely on actions of several animal health stakeholders. Veterinarians are a key stakeholder of this system, given their role and skills in diagnosing and investigating disease and their interactions with producers, who considers them a trusted and influential stakeholder. This study investigated the contribution of the veterinary workforce to the Australian animal health surveillance system and the opportunities for future involvement.
Materials and methods: This study used an online cross-sectional study and semi-structured qualitative interviews among the veterinary profession. Descriptive statistics and regression analyses were conducted with survey data, to provide an overview and drivers of practices and attitudes of veterinarians in relation to animal health surveillance. Thematic qualitative analyses were used for the interview data.
Results: A total of 311 veterinarians participated in the cross-sectional study and 17 private veterinarians were interviewed. Results demonstrate that private veterinarians are aware of their responsibilities and engaged in some surveillance activities. Approximately 40% of veterinarians had taken samples for diagnosis where a notifiable disease was suspected in the last year, with just over 20% reporting a notifiable disease. Almost half (49.5%) of respondents were awareness of current surveillance programs available for veterinarians. In addition, approximately half of survey participants reported being interested and available to undertake surveillance work on behalf of the government. However, key challenges identified were related to workload, remuneration, conflicts of interest and shared responsibility.
Conclusion: The study suggests while the veterinary profession contributes significantly to the surveillance system; their capacity and willingness to increase involvement is dependent on clearly addressing an already heavy workload, adequate remuneration and providing clarity on their role and responsibilities within this space.

Keywords: Veterinary profession, animal health surveillance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["978aef2c-117a-4e1c-b105-03f159c579de","02f86f29-9eae-4d8d-b937-84e31f38e74d","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Marta Hernandez-Jover","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Simulating the economic effects of infectious salmon anaemia outbreak management in expanding salmon aquaculture operations","PresentationBio":null,"Title":"Dr.","FirstName":"João","LastName":"Romero","Position":null,"Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The objective of this research was to assess the cost and effectiveness of viral outbreak mitigation approaches in salmon aquaculture at different production capacity levels. Specifically, we aimed to determine (i) how stocking options in marine aquaculture contribute to viral infection transmission and (ii) the costs incurred by potential viral outbreaks and subsequent management interventions.
Material and methods: We simulated the waterborne spread of a highly virulent infectious salmon anaemia virus (ISAv) variant among a population of farmed Atlantic salmon (Salmo salar L.) in Newfoundland and Labrador (NL), Canada. The model incorporated ISAv management interventions, reflecting protocols implemented in NL. Different scenarios of varying production capacity were explored, as per (i) 25% and 50% increase in fish stocking levels in existing farms and (ii) 20% and 40% increase in active farms in the region. Magnitudes of simulated ISAv outbreaks were quantified in terms of number of infected farms and net-pens. Costs associated with ISAv surveillance and detection, and depopulation of infected stocks were tallied for each scenario.
Results: This research quantifies the economic implications of potential outbreaks and their eradication. Comparisons between model scenario results are expected to demonstrate that magnitudes of ISAv outbreaks and costs thereof increase with increasing aquaculture production capacity, under the same disease mitigation approach. We hypothesize that adding new active farms will contribute to ISAv spread at a greater extent than the increment in fish stocking levels in existing farms.
Conclusion: Simulation modelling provides a resource-sparing tool to explore hypothetical scenarios and support decision-making in the planning of new options for aquaculture operations. Intensification of production capacity in aquaculture requires careful planning and matching reinforcements for disease prevention and control to safeguard investments and prevent costs associated with outbreak mitigation. Here we identify a cost-effective approach to minimize infection spread when increasing aquaculture production.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["32b9e4fa-3def-4467-8cec-52826aa2104d","5178adf1-eaeb-4d5b-8fce-b18677488f5a","d3066121-1fde-4a88-a77e-f435960ef4f2","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. João Romero","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantitative assessment of Eudaimonia and Hedonia as protective factors on veterinary mental health in a longitudinal, Canada-wide study","PresentationBio":null,"Title":"Ms.","FirstName":"Emily","LastName":"Morabito","Position":null,"Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Compared to the general population, veterinarians have demonstrated a higher risk of suicide, suicidal thoughts, stress, and burnout, among other negative mental health outcomes. The risk of negative mental health outcomes is highest during the “transition period” (the first few years post-graduation). As there is a well-documented understanding of risk factors for poor veterinarian mental health during the transition period, the focus of this project explores specific elements of positive psychology and their potential to be protective factors. In particular, this study targets the positive psychology outcomes eudaimonia (including self-acceptance, valuable relationships, environmental mastery, autonomy, having a strong sense of purpose in life, and personal growth) and hedonia (including life satisfaction, positive affect, and negative affect). The objectives of this study are to: 1) develop an understanding of how measures of eudaimonia and hedonia change through the veterinary transition period; 2) investigate whether eudaimonic and hedonic measures are protective factors in veterinary mental health; and 3) develop a longitudinal understanding of the relationship between eudaimonia and hedonia. All final-year students from the five veterinary schools in Canada will be asked to take an online survey composed of validated questionnaires measuring eudaimonic (Psychological Wellbeing Scale; Flourishing Scale) and hedonic (Satisfaction with Life Scale) outcomes, along with other mental health outcomes (e.g. burnout and resilience). This questionnaire will be distributed at the time of graduation (Spring 2022) and will be readministered 6, 12, and 24 months into the participants’ careers. Data will be analyzed using descriptive statistics for each time point, and multivariable regression models accounting for repeated measures will determine factors associated with mental health outcomes (related to hedonia, eudaimonia, resilience, and burnout). The results of this study will contribute insight into these potential protective factors associated with veterinary mental health, providing opportunities for further research and intervention development. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["cb344d68-5710-46be-a916-dd122f96ab66","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Emily Morabito","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","StartTimeString":"10:00 AM","EndTimeString":"12:00 PM","StartToEndTimeString":"10:00 AM - 12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 11.A - ISESSAH","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-12T10:00:00+00:00","BaseEndDateTime":"2022-08-12T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-12T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T15:00:00.0000000+00:00"},{"Id":"fb4e9c00-839f-4ce3-a0c7-98491f948e9f","SessionBlockId":"16370c51-04a4-4f8f-ab11-d2e144b51ed3","Name":"Breakout Session 11.D - Epidemiology of African Swine Fever","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","StartTimeOverride":"10:00:00","EndTimeOverride":"12:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Eighteen months of African swine fever in Germany, challenges and achievements","PresentationBio":null,"Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Organization":"Friedrich-Loeffler-Institut","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
African swine fever (ASF) has been confirmed in a wild boar for the first time in Germany in September 2020. The objective is to describe the spatial and temporal spread of ASF-cases in wild boar in Germany over a period of 12 months and compare it to other countries that have experienced ASF in wild boar, especially Belgium and the Czech Republic.

Material and Methods
Outbreak data were extracted from the German national animal disease data base (‘TSN’). Data extracted included the date of detection, the date of confirmation, the location and the species of suids (domestic pigs and wild boar). Equivalent data for other affected countries were extracted from the European disease notification systems (ADNS, now ADIS). Cluster analysis was conducted to identify different spatial clusters in each of the countries and areas affected were estimated using the minimum convex polygon method.

Results
Several independent spatial clusters could be identified in Germany. Within these clusters, the disease spread differently over the time period of one year. The affected areas within the clusters showed similarities amongst each other and also with clusters from other countries. The implementation of different control measures resulted in the spread slowing down and leading to elimination of ASF in certain areas.

Conclusion
The occurrence of ASF in distinct spatial clusters was a challenge, indicating several independent introductions from Poland into Germany. This is different to Belgium and the Czech Republic, where only single point introduction occurred in each country. Despite this, achievements could be reached in some areas, where it seems that the disease has been brought under control.

Keywords
African swine fever, spread, surveillance, wild boar
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40011888-980a-402c-868e-27ff2aacbc1b","3c633f59-5da2-4213-a804-5e21f6f27422","76c84259-9a28-4ba9-a370-db4b00031911"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Carola Sauter-Louis","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Quantitative risk factors associated with African Swine Fever occurrence and spread in pig and wild boar populations: a systematic literature review","PresentationBio":null,"Title":"Mrs.","FirstName":"Sofie","LastName":"Dhollander","Position":"Senior Scientific Officer","Organization":"European Food Safety Authority","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9cff58612b2e4bee9e97fa7cfb765a4c","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Since African Swine Fever (ASF) genotype II reached Europe in 2007, it has widely spread causing huge economic losses to the pig production sector. To guide policy and management actions, robust quantitative evidence about risk factors associated with ASF in domestic pigs and Eurasian wild boar (Sus scrofa) is needed.

Materials and methods
To this aim, a systematic literature review of the scientific evidence available on ASF risk factors analyzed through quantitative methods was carried out. Information on article metadata, study settings, and details of the risk factors analyzed were extracted from the identified articles. Risk factors were structured in categories, and the frequency of categories with significant risk factors was evaluated.

Results
The literature search retrieved 348 articles, resulting in 31 inclusions in the review after application of the selection criteria. The categories of factors most frequently significantly associated with the occurrence of ASF in domestic pigs were related to pig farming, in particular pig population density and factors related to biosecurity practices, and socio-economic factors, especially those related to population and farmers’ demographics. Wild boar abundance, vegetation characteristics, human population demographics, and the presence of ASF virus infection in the area were the factors most frequently found to be significantly associated with the occurrence of ASF in wild boar.

Conclusions
A substantial number of factors (195) were assessed in the scientific literature as significant in relation to the occurrence and spread of ASF in pigs and wild boar. However, while certain types of factors have been frequently analyzed, others need further investigation, such as those related to the role of arthropod vectors. The results of this review can guide policy and management actions as well as research activities to focus on those factors with knowledge gaps.

Keywords:
ASF, risk factors, systematic literature review, pigs, wild boars","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","a0cfebb2-ab7f-4d40-96ed-c7d52cad121a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Sofie Dhollander","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An ecological process-based model of wild boar","PresentationBio":null,"Title":"Mr.","FirstName":"Mossa Merhi","LastName":"Reimert","Position":"PhD Fellow","Organization":"University of Copenhagen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Models of disease spread in livestock must take into account the influence of wildlife in order to provide a realistic estimate of the expected size of an epidemic. Existing models of ASF are predominantly outcome focused, meaning that model parameters are calibrated to match population-wide statistics estimated from field studies. However, this approach may not fully capture the necessary features of the underlying system.

Materials and Methods: We use an entity-component system in the low-level programming language Rust to implement a process-oriented ecological model of wild boar breeding, mortality and dispersal. We include both seasonality and effects of density in order to more closely follow the biological drivers of the underlying ecological processes. We consider the impact of this alternative configuration on the spread of a simplified ASF-like disease. Danish land cover data is used to generate indicators of habitable regions and their corresponding carrying capacity for wild boar, and the spatial structure is represented by dividing the landscape into 3.5 km2 hexagons with an associated network structure representing adjacency.

Results: The duration of the epidemic and the extent of the potentially affected region are strongly influenced by the modelled ecological processes. The relative contribution of each aspect of the ecological process is quantified using sensitivity analysis.

Discussion: Differing approaches to modelling wild boar breeding and dispersal can have a large effect on the estimated spread of disease over a geographical area. Careful consideration of the underlying biology of these processes is therefore needed in order to ensure that the inference in terms of risk of transmission to domestic pigs is reasonable. The use of entity-component systems to model these processes provides substantial benefits in terms of computational burden and adaptability of the overall model.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["76c84259-9a28-4ba9-a370-db4b00031911","5178adf1-eaeb-4d5b-8fce-b18677488f5a","3c633f59-5da2-4213-a804-5e21f6f27422"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Mossa Merhi Reimert","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The incursion risk of African swine fever for The Netherlands by human-mediated routes","PresentationBio":null,"Title":"Ms.","FirstName":"Mariana","LastName":"Avelino de Souza Santos","Position":"","Organization":"Wageningen University & Research","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"African swine fever (ASF) is a viral disease with serious health effects for both domestic pigs and wild boar. So far (January 2022), ASF has not been detected in pigs or wild boar in The Netherlands, but the risk of introduction is deemed to increase with more countries in Europe reporting ASF outbreaks. More insight into the potential introduction routes of ASF in new areas, especially via human action, is needed to take effective measures to prevent introduction of ASF. The current study was initiated with the aim to assess the risk of exposure of domestic pigs and wild boar in The Netherlands, via four human-mediated introduction routes: (1) Hunters hunting in ASF-infected countries and returning with a wild boar carcass or meat, (2) travelers taking pork products from ASF-infected countries, (3) truck drivers discarding pork products from ASF-infected countries on parking places, and (4) farm workers at pig farms carrying pork products from ASF-infected countries.

A quantitative risk model was built, that estimated the expected annual number of entries of ASF-infected pork products into The Netherlands, and the expected annual number of exposures of domestic pigs and wild boar to these products for each introduction route. Results of the model indicate which introduction route is most important for introduction of ASF and which pig populations are most at risk. The model can also be used to estimate the effectiveness of preventive measures.

First results show that truck drivers and travelers pose a higher risk for entry and exposure of ASF in the Netherlands than farm workers and hunters. The majority of the exposures is expected in wild boar. Uncertainty analysis indicated that the model output was robust in ranking the introduction routes.

We therefore conclude that the model is a useful tool to prioritize introduction routes for risk management.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Mariana Avelino de Souza Santos","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"African Swine Fever Preparedness in Canada: A model of disease transmission and government - industry collaboration","PresentationBio":null,"Title":"Dr.","FirstName":"Pascale","LastName":"Aubry","Position":"","Organization":"Canadian Food Inspection Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"OBJECTIVE: Intense efforts have been deployed in recent years to prepare for a potential incursion of African swine fever (ASF) in Canada. The objective of this project was to build a disease spread model for a hypothetical outbreak in the domestic swine population, that could be used to study the potential silent spread of the disease until its first detection and assess the effect of various control strategies proposed by government or industry.
METHODS: A working group comprised of experts from the federal and provincial governments as well as industry was created. The province of Manitoba was chosen as a case-study because it is the largest pig producing and exporting province in Canada, it also has the most data available on swine production. Working group meetings are held at least twice monthly, during which members discuss and provide input on all aspects of the model: herd and movement data, within-herd transmission parameters, between-herd transmission via direct and indirect contacts and local spread, disease detection and control measures. The model is implemented in InterSpread Plus®, a software designed to simulate the spread of infectious disease among populations.
RESULTS: A successful collaboration was established between veterinary epidemiologists from the federal government, provincial government, and industry experts. Unpublished data that the modeller was unaware of, or that would have otherwise been unavailable or very difficult to obtain, was used to parameterize the model. The animal movement database was used not only to model direct transmission but also to parameterize indirect transmission pathways via rendering trucks movements for example. Data from the on-farm certification program was also used.
CONCLUSION: This collaborative effort resulted not only in an ASF model for Manitoba but also in a greater understanding by all parties of the challenges that disease control represents to both government and industry.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","5178adf1-eaeb-4d5b-8fce-b18677488f5a"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Pascale Aubry","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Simulated Transmission of African Swine Fever virus between Premises of a US Swine Production Company","PresentationBio":null,"Title":"Mr.","FirstName":"Sasidhar","LastName":"Malladi","Position":null,"Organization":null,"PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1.Objective
This study's objective was to produce a between premises, African Swine Fever virus (ASFV) transmission model, allowing for a better understanding of likely routes of transmission of ASFV between farms and explore potential surveillance options to limit said transmission.

2.Materials and Methods
Data regarding movement of animals and fomites between premises was collected from one US swine production company. The collected data was used to inform an InterSpread Plus (ISP) model scenario for ASFV transmission between farms. ISP uses a state transmission model to simulate disease transmission between premises. Premises level disease state durations and the probabilities of transmission via movements were estimated using a stochastic heterogeneous within-farm ASFV transmission model. Using a randomly selected single premises for introduction, our model simulated transmission over 150days. One-thousand model iterations were performed identifying the proportion of farms infected and the common routes of infection.

3.Results
In the current model baseline scenario, 26.9% (95% P.I., 6.9-51.7%) of all sow farms became infected. The main transmission mechanisms or movements resulting in sow farm infection in the current model were cull sow pick up, and people or fomite contact with other farms. Further analysis of network derived surveillance techniques is underway, such as routine surveillance in high network centrality premises to reduce the transmission of ASFV within the system.

4.Conclusion
This simulation of between herd transmission of ASFV within a swine production company holds great potential when further developing mitigation practices to reduce the risk of ASFV introduction and dissemination between swine farms. Due to the granularity of industry data used, we believe the model can encompass the complexities of the current swine production systems and inform ASF outbreak response planning by aiding in the evaluation of enhanced biosecurity measures and surveillance protocols.

Keywords
African Swine Fever; network; mathematical modelling; disease transmission
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b","3c633f59-5da2-4213-a804-5e21f6f27422"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Sasidhar Malladi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Modeling African swine fever transmission in commercial pig populations in the United States","PresentationBio":null,"Title":"Ms.","FirstName":"Abagael","LastName":"Sykes","Position":"Phd Student","Organization":"North Carolina State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":7,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"As the risk of ASF introduction into the U.S. rises, a better understanding of ASF dynamics is vital. Here we incorporate industry data and a farm-level transmission model to simulate the dissemination of ASF between commercial pig populations in the U.S.
Using real farm-level population data, and animal and vehicle movement data, we developed a farm-level stochastic SEIR model for the transmission of ASF over 120 days, considering multiple transmission routes: i) animal movements; ii) local transmission; and iii) four vehicle movement types. As the U.S. is uninfected, we used historic porcine epidemic diarrhea virus (PEDV) data from the 2013 epidemic in the study region (2,294 farms) to calibrate model parameters. The model outcomes include epidemic duration, incidence of secondary infections, spatial spread and transmission route contribution.
Our calibrated model estimates the mean cumulative incidence after 30, 60 and 120 days at 5 (± 3.1), 54 (± 34.9) and 318 farms (± 68.6) respectively, with a mean daily incidence of 2.65 farms (Figure 1A). Nursery and finisher farms accounted for 33% and 47% of infections, respectively, and the average distance between two individual cases was 47.5km (± 4.3km). We demonstrated that feed and pig truck movements, and local spread account for 47% of ASF secondary infection in sow and nursery farms, and 40% of infection in finisher farms (Figure 1B).
The results highlight the impact of vehicle networks and local spread on transmission and the potential for widespread disease.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fd0e7b2216944ee5b0dd9de1b6498a90","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3c633f59-5da2-4213-a804-5e21f6f27422","5178adf1-eaeb-4d5b-8fce-b18677488f5a","40011888-980a-402c-868e-27ff2aacbc1b"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Abagael Sykes","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A simulation-based evaluation of the time to detect moderately virulent African Swine Fever virus in finisher swine herds via increased morbidity ","PresentationBio":null,"Title":"Mr.","FirstName":"Sasidhar","LastName":"Malladi","Position":null,"Organization":null,"PhotoUrl":null,"IsPresentingAuthor":false,"Order":8,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
African Swine Fever (ASF) is a devastating disease that causes an important socio-economic impact in ongoing outbreaks across the globe. We estimated transmission model parameters for moderately virulent ASF virus strains and predicted the time to disease detection via increased morbidity under homogenous and heterogeneous transmission model assumptions.
Materials and Methods
We estimated the transmission model parameters using individual pig level experimental data for moderately virulent strains in de Carvalho Ferreira et al. (2013). The adequate contact rate was estimated using an Approximate Bayesian Computation algorithm and we accepted those parameter values from iterations where the model output was consistent with experimental data. We then simulated ASF spread within a 2400 finisher pig barn under homogeneous and heterogeneous mixing assumptions. The homogeneous formulation assumes that all pigs in the barn have an identical chance of contact with each other. In contrast, the heterogeneous model formulation incorporates the barn and pen layout and assumes different transmission rates within and between pens. Thresholds for the fraction of pigs with clinical signs to help identify increased morbidity (i.e. trigger thresholds) were based on expert opinion. The time to detection was then calculated as the earliest day when morbidity exceeded the trigger threshold in simulation output.
Results
Based on the homogeneous model, the predicted time to detection in finisher pig barns via mild clinical signs was 20 (95% P.I., 16 - 25) days using a daily trigger threshold of nine percent of the herd. The time to detection was significantly longer in heterogeneous model scenarios where the between pen transmission mainly occurred via direct contact with pigs in adjacent pens.
Conclusion
The transmission model parameter estimates and predicted time to ASF detection provide valuable information that can inform emergency preparedness and design surveillance sampling protocols.
Keywords
African Swine Fever; mathematical modeling; morbidity triggers

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12:00 PM","StartToEndTimeSortString":"10:00 AM - 12:00 PM","DisplayDetails":"Breakout Session 11.D - Epidemiology of African Swine Fever","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"10:00 AM - 12:00 PM","StartTimeOverrideString":"10:00 AM","EndTimeOverrideString":"12:00 PM","StartToEndTimeOverrideString2":"10:00 AM - 12:00 PM","BaseStartDateTime":"2022-08-12T10:00:00+00:00","BaseEndDateTime":"2022-08-12T12:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T10:00:00+00:00","BaseEndDateTimeOverride":"2022-08-12T12:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T15:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T13:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T15:00:00.0000000+00:00"},{"Id":"2b597cc3-118c-4408-9c16-0a8fd8617bd4","SessionBlockId":null,"Name":"Friday Lunch Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"12:00:00","EndTime":"13:30:00","StartTimeOverride":"12:00:00","EndTimeOverride":"13:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":"Halifax Convention Centre │Ballroom B3","Track":null,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"2b597cc3-118c-4408-9c16-0a8fd8617bd4","StartTimeString":"12:00 PM","EndTimeString":"1:30 PM","StartToEndTimeString":"12:00 PM - 1:30 PM","StartToEndTimeSortString":"12:00 PM - 1:30 PM","DisplayDetails":"Friday Lunch Break │ Exhibits","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"12:00 PM - 1:30 PM","StartTimeOverrideString":"12:00 PM","EndTimeOverrideString":"1:30 PM","StartToEndTimeOverrideString2":"12:00 PM - 1:30 PM","BaseStartDateTime":"2022-08-12T12:00:00+00:00","BaseEndDateTime":"2022-08-12T13:30:00+00:00","BaseStartDateTimeOverride":"2022-08-12T12:00:00+00:00","BaseEndDateTimeOverride":"2022-08-12T13:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T15:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T16:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T15:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T16:30:00.0000000+00:00"},{"Id":"00fbcd54-1337-4964-92aa-173af53dc07a","SessionBlockId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","Name":"Breakout Session 12.D - Epidemiologic studies in specific species (Companion animals)","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Longevity of Companion Dog Breeds: Those at Risk from Early Death","PresentationBio":null,"Title":"Dr.","FirstName":"Kirsten","LastName":"McMillan","Position":"Data Manager","Organization":"Dogs Trust","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b0460500a90a49dcbde58a785b69e14d","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s)
Variability between dog breeds extends not only to morphology and aspects of behaviour, but also to longevity. An array of heritable conditions have established within purebred dogs, affecting quality of life and longevity. Nevertheless, little research has (1) assessed life expectancy variation between breeds, and (2) investigated phylogenetic characterisation of longevity.

Materials and methods
Kaplan-Meier survival curves, pairwise log-rank tests and multivariable Cox proportional hazards regression models were applied to a dataset of 4,258,704 dogs, including 284,744 deceased, to present variation in longevity estimates between: parental lineage (purebred=1, known cross=2, mixed≥ 2), breed (n=155), body size and cephalic index. Heterogeneity between survival estimates were partitioned amongst phylogenetic clades to identify breed groupings most at risk from early death.

Results
Longevity varied between breeds (p<0.001): those most at risk from early death included Presa Canario (x̃=7.7, HR 3.0), Cane Corso (x̃=8.1, HR 2.4), Mastiff (x̃=9.0, HR 2.3), Affenpinscher (x̃=9.3, HR 1.7) and Bulldog (x̃=9.8, HR 1.8). Whilst purebred and mixed individuals exhibited similar estimates at 12.7 (95% CI 12.6-12.7) and 12.5 (95% CI 12.4-12.6) years respectively, known crosses displayed an accelerated time to death at 10.1 years (95% CI 10.0-10.3, HR 1.65, p<0.001). Known crosses most at risk from early death included Bullmastiff x Dogue de Bordeaux (x̃=7.0, HR 5.1), Bulldog x Staffordshire Bull Terrier (x̃=8.2, HR 3.7) and Great Dane x Mastiff (x̃=8.5, HR 3.4). Longevity varied amongst cephalic index (p<0.001) with accelerated time to death for brachycephalic breeds (x̃=11.2, HR 1.4). An interaction between cephalic index and body size was evident: with increased disparity observed within medium sized dogs of brachy and non-brachy status (p<0.001). Strong phylogenetic signal was evident, highlighting sister clades with lower survival probability due to ancestral ties (p<0.001).

Conclusions
This information scientifically informs the canine pedigree health debate. Further research is needed to incorporate reason for death to better understand lineage differences.

Keywords
Canine, Survival Analysis, Phylogeny, Cephalic Index, Lineage
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Raw meat diets (RMD) are increasingly popular for UK-owned dogs. This study investigated carriage of antimicrobial resistant (AMR) E. coli in faeces of dogs fed either RMD or non-raw meat diets (NRMD).

Materials and methods:
Faecal samples from UK-owned dogs were collected October 2020-August 2021. Samples were enriched then plated on Harlequin E. coli/Coliform Agar (HECA) +/- 1µg/ml cefotaxime. Typical E. coli colonies underwent antimicrobial susceptibility testing according to EUCAST guidelines. Extended-spectrum beta-lactamase (ESBL)-producing E. coli were confirmed phenotypically and ESBL resistance genes were identified using PCR and RT-PCR assays.

Results:
In total, 432 faecal samples were tested (193 RMD, 239 NRMD).
There were significant differences (p <0.05) in the presence of E. coli resistant ≥1 antibiotic class, as well as ESBL-producing E. coli, including those with a multidrug-resistant phenotype (MDR, resistance to ≥3 antibiotic classes), between RMD-fed and NRMD-fed dogs. Furthermore, ESBL-producing E. coli carrying bla↓CTX-M, bla↓CTX-M-1 and bla↓CTX-M-15 resistance genes were isolated from a significantly higher proportion of RMD-fed than NRMD-fed dogs (Table 1).

Conclusion:
A significantly higher percentage of ESBL-producing and MDR E. coli were isolated from RMD-fed than NRMD-fed dogs. A quarter of RMD-fed dogs carried ESBL-producing E. coli. Therefore, RMD-fed dogs could present a risk for transmission of zoonotic AMR bacteria, impacting animal and human health. Further work investigating additional risk factors for AMR bacteria carriage/transmission is required. Efforts should be made to increase owner, veterinary and medical staff awareness of the public health concerns regarding RMD.

Keywords: raw, dog, zoonosis, E. coli, AMR


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Methods: The search included specific and generic terms for bacteria, resistance, transmission, pets, and humans. Searches were conducted through PubMed, Scopus, Web of Science, CABI Global Health, Networked Digital Library of Theses and Dissertations, Google Scholar. All studies published in English and Mandarin that isolated bacteria from pets (cats and dogs) and humans who had contact with the pets, and reported phenotypic or genotypic antimicrobial sensitivity tests, were included in this review. In cases of bacterial species that are commonly associated with pets, such as Staphylococcus pseudintermedius and Pasteurella multocida, we also included studies that only isolated bacteria from humans.

Results: The search captured 9,355 unique studies. A total of 1,098 papers were screened in the full-text review, and 462 studies, published between 1973 and 2021, were identified as eligible according to our inclusion criteria. The primary reason for exclusion was lack of sensitivity testing. The most common study location was the United States (n=130, 28.14%), followed by Japan (n=24, 5.19%), and Canada (n=21, 4.55%). Most of the included studies were case reports (n=277, 59.96%) or cross-sectional/prevalence studies (n=112, 24.24%). The most common bacteria were P. multocida (n=156), Staphylococcus aureus (n=84), and S. pseudintermedius (n=52).

Conclusion: Transmission can occur in both directions: pets to humans (e.g., S. pseudintermedius, P. multocida) and humans to pets (e.g., S. aureus). The majority of studies provide a low level of evidence (e.g., case reports), suggesting that more rigorous longitudinal, cohort, or case-control studies are needed to fully understand the risk of human-pet bacterial transmission.

Keywords: antimicrobial resistance, One Health, pets, scoping review
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","c0c76c20-a7ea-4e61-af24-1ffb79f9f561","0c879798-e821-4cff-bf7e-791d4b78ec7f"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Mu Jin","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Canine leptospirosis clusters during an outbreak in Sydney and the role of population demographics","PresentationBio":null,"Title":"Prof.","FirstName":"Michael","LastName":"Ward","Position":"Chair, Veterinary Public Health","Organization":"Sydney School of Veterinary Science","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/80277f5d9d15439aa3fa97709092ff20","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
To determine if clusters of canine leptospirosis occurred during an outbreak in the City of Sydney, 2017-2020.

Methods
Administrative data on the canine population were collected via registrations and mapped. Clusters of leptospirosis cases were detected using a retrospective space-time analysis using the discrete Poisson probability statistical model.

Results
The Sydney dog population had a significantly lower registration rate (55.6%, 95% CI 51.8-58.1%) than the Australian national average (80%). The distribution of dog types was significantly (P<0.0001) different to that of the national profile (with a distinct preference for companion dogs) and the age distribution was relatively uniform. A total of 13 cases of canine leptospirosis was reported. A primary disease cluster (radius 1.1 km, see Figure) in the eastern area of Sydney was identified (4 cases observed between 24 May and 9 August 2019 versus 0.10 cases expected, P = 0.0450). When adjusted for the age, breed type and sex distribution of the population, similar or larger clusters (in the case of age adjustment, seven cases observed between 28 June and 11 November 2019 versus 0.34 cases expected, P = 0.0025) were identified.

Conclusions
The presence of clusters of canine leptospirosis in the City of Sydney during this outbreak, which persisted after adjustment for demographic factors (age, sex, breed type), suggest that other factors - such as environmental factors - might be responsible for the emergence of leptospirosis. There are several potential reservoir hosts of Leptospira which inhabit this area, and their Leptospira status should be investigated.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/19e032a8b6f14e759e139e2b064742c0","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a3bd9d30-cc0b-4b6d-9aed-4a8a6b82226b","c0c76c20-a7ea-4e61-af24-1ffb79f9f561","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Prof. Michael Ward","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Species-specific infestation patterns of ticks parasitizing Canadian companion animals, and preventative behaviours","PresentationBio":null,"Title":"Ms.","FirstName":"Sydney","LastName":"Dewinter","Position":"","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ef23eae779d24171ac0b4fed6586dd89","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Due to recent climatic and land use changes, Canada has experienced drastic changes in tick populations, leading to an increased risk of tick bites and tick-borne pathogen exposure. Despite these changes in tick populations through recent years, national monitoring programs of ticks on companion animals no longer exist. Recommendations from veterinary professionals include conducting tick checks and using acaricides. However, species-specific infestation patterns are largely understudied. Current information regarding tick infestation patterns and preventative practices is needed.

The objectives of this study were to identify tick species-specific infestation patterns on Canadian companion animals and describe the use of preventative behaviours.

Ticks were collected for one year (April 2019 – March 2020) from 94 veterinary clinics across Canada as part of the Canadian Pet Tick Survey. All ticks were identified to species. Data on location of attachment, use of acaricides and frequency of tick checks was ascertained with each submission. To examine the association between location of attachment and tick species, mixed effects univariable models were built. To examine the relationship between preventative behaviours and the animal’s demographics, uni- and multi-variable, mixed effects logistic regression models were built.

We received approximately 2800 submissions from companion animals across Canada, totalling over 4500 ticks. Of these submissions, ~1800 were Ixodes spp., and ~930 were Dermacentor spp., ticks. Clear tick species-specific infestation patterns are present, along with tick prevention behaviours and their relationship to companion animal demographics.

Up-to-date information on infestation patterns will be used to inform veterinary professionals and pet owners of common attachment sites based on established ticks in their region. In addition, information regarding use of tick checks and acaricides allows veterinary professionals to determine which animals are not receiving preventative care and create educational materials for pet owners.

Keywords: Climate change; Epidemiology; Ixodes scapularis; One Health; Passive surveillance
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A total of 79 MAP isolates were successfully typed by the VNTR method, where 19 different subtypes were described. Those subtypes were divided into 3 groups (according to their frequency): “1st dominant (1D)”, “2nd dominant (2D)” and “Non-dominants subtypes (ND)”. A generalized mixed linear model was used, where the SSS was used as response variable and the subtype group as a predictor. Farm of origin was used as a random effect. After adjusting the model for animal age, it was observed that “1D” and “2D” presented statistically higher SSS scores than “ND”. These results indicate potential differences in pathogenicity between MAP subtype, where dominant subtypes tend to generate more severe lesions. This could enhance their capacity to cause disease and being shed into the environment in larger amounts than ND subtypes, increasing their chances of transmission.

Key words:Mycobacterium avium subspecies paratuberculosis , VNTR, histopathological lesions ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Cristobal Verdugo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Disentangling the dynamic of Mycobacterium bovis in Cameroon using whole genome sequencing","PresentationBio":null,"Title":"Mr.","FirstName":"Gianluigi","LastName":"Rossi","Position":"Senior Research Fellow","Organization":"University of Edinburgh","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In recent years, the increased availability, efficiency and reliability of genomic reading techniques, such as whole-genome sequencing (WGS), has significantly increased the amount of information we can use to study infectious diseases. Currently, such techniques allow us to detect most pathogens and identify their measurably evolving populations. Furthermore, to study their DNA/RNA mutations from which transmission events between individual hosts, farms, locations or species can be inferred, both at the within-population and landscape scales. Taken together, this level of granularity provides the evolutionary trajectory of a pathogen to inform preparedness.

Given that inferences on transmission events are based on the genomic diversity of a pathogen, clonal bacterial species, such as Mycobacterium bovis with limited recombination, present specific challenges as the diversity of clones only change slowly with time. We examine these challenges and utility of genomic sequencing using Cameroon as an exemplar for a developing country setting. We use over 100 genomes from samples collected in abattoirs in two regions. We then matched these data with environmental, demographic, climatic and ecological factors, as well as a previously collected animal movements dataset in a phylodynamic model, in order to understand the dynamic of M. bovis in the country.

We show how transmission patterns and infection dynamics at the local and regional spatial scales can be revealed by integrating genomic data with the other predictive factors, even when there are limited numbers of mutations, limited sampling efforts and sparse metadata.

Finally, we make the case for the implementation of genomic surveillance in endemic infected population, both animals and humans, as well as for emerging outbreaks. While clear individual infection events might be still difficult to disentangle, these datasets offer a variety of insights which can be crucial to design effective control strategies.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","fad4e092-eee7-46ed-b4a6-a335b0f641b7","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":"EpiGianRos","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"EpiGianRos","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=EpiGianRos","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=EpiGianRos","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Gianluigi Rossi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Molecular Characterization and Mapping of Trichomonas Isolates from Bovine in the North West Province, Republic of South Africa","PresentationBio":null,"Title":"Mr.","FirstName":"Afaque","LastName":"Syed","Position":"","Organization":"University Of North West","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/bca0d180197649f382bf2e9e77e97b54","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The objectives of the analysis were to: Isolate and identify trichomonas species based on morphological characteristics and confirm its identity by PCR methods. Furthermore, to determine the incidence of T. foetus in the Dr Segomotsi Ruth Mompati district of South Africa. Subsequently, compare the two methods of detection (rtPCR and conventional PCR) based on statistical evaluation and establish a phylogenetic relationship among the T. foetus isolates with previously existing isolates in the NCBI database.
Materials and methods
This cross-sectional study involved the positive trichomonas cultures initially isolated from sheath wash samples of bulls received at the Vryburg provincial veterinary laboratory. The genomic DNA was purified using Zymo-Research Fungal/Bacterial kit following manufacturer instructions for PCR analysis and DNA sequencing. Furthermore, frequency tables and pie charts were used to summarise the results.
Results
51 isolates were positively identified as trichomonas species and were subjected to molecular PCR methods. The real-time PCR screening of all (n=51) positively identified isolates revealed 41/51 isolates positive for T. foetus, 6 negative isolates for T. foetus, and 4 inconclusive. Further, a conventional PCR was performed utilising TFR1 and TFR2 primers to amplify the 5.8S rRNA gene and ITSRs. This revealed 12/51 positive amplifications which were then subjected to DNA sequencing and identification based on the strain most closely related in the NCBI database. The phylogenetic analysis revealed 80- 99% identity to the isolates from Namibia, Japan, Thailand, Spain and Australia and Turkey.
Conclusion
There is evidence from the analysis of this study that trichomonas infestation, particularly with T. foetus is widespread from bulls in the North-West province of South Africa and may be an important cause of economic impact on the beef industry of South Africa.
Keywords: Bovine trichomonosis, T. foetus, mapping, phylogenetic analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["83ed3dfd-81d4-4ee5-a11b-a287dbe3f4a7","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","df5d618c-3702-4d9c-95b6-0ad39c8b6184","0c901ec5-8189-459e-b859-afcfb8a96f9b"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"Ashcatchem","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"Ashcatchem","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"http://Ashcatchem","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://Ashcatchem","Font":"fab fa-facebook-square","Color":"#3b5998"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Afaque Syed","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Using phylogeography as a proxy for population connectivity for spatial modeling of outbreak data for foot and mouth disease outbreaks in Vietnam","PresentationBio":null,"Title":"Mrs.","FirstName":"Kimberly","LastName":"Vanderwaal","Position":"Associate Professor","Organization":"University of Minnesota","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Foot-and-mouth disease virus (FMDV) is endemic in South East Asia (SEA), and Vietnam’s central location makes it a hub for animal movements. However, a lack of data on livestock movement and population connectivity hinders the application of space-time regression models that inform disease control. Bayesian spatio-temporal regression models are used to identify risk factors and delineate high-risk areas for infectious diseases. In these models, structured, unstructured spatial and temporal effects account for various forms of non-independence amongst case counts reported in the spatial units. For highly mobile livestock populations across SEA, spatial adjacency is an imperfect measure of connectivity. It may be possible to use phylogeographic models to infer routes of viral dissemination across a region, with model outputs serving as a proxy for historical patterns of host movement. The objective of this study was to investigate if the distribution of reported clinical FMD outbreaks in Vietnam across space and time is better explained by models that incorporate population connectivity based upon FMDV movement (inferred by discrete phylogeographic analysis) as opposed to spatial adjacency. Phylogeographic matrices were incorporated into Bayesian space-time regression models. Based on comparing DIC values, models that incorporated population connectivity via phylogeographic matrices better explained the observed outbreak data than models utilizing spatial adjacency. Both the spatial adjacency and phylogeographic versions of the regression model were used to identify high-risk areas and risk factors related to movement and population demographics; relative risk of reported outbreaks was increased in provinces with high inferred rates of transboundary FMDV movement from adjacent countries. We conclude that accounting for FMDV movement inferred from phylogeographic analysis serves as a useful proxy for population connectivity in space-time regression models. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a424daba-5d1a-4f4a-9bf5-d16c5f51514c","84b4edb4-71ea-4d85-9aa9-c6aaea9282ae","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","df5d618c-3702-4d9c-95b6-0ad39c8b6184","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","c54f9b9d-8dfb-410e-9187-f32dd54c71fc"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Kimberly Vanderwaal","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Multi-strain dynamics of PRRSV type-2 in U.S. pig populations","PresentationBio":null,"Title":"Dr.","FirstName":"Igor","LastName":"Paploski","Position":"Post-doctoral researcher","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6414ffdd5bdf47dea911ae2218056cbf","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"PRRS, epidemiology, multi-strain dynamics, emergence, immunology

Objectives
Interactions between different variants or strains of a pathogen may occur if there is partial cross-immunity between strains, thus potentially allowing immune-mediated competition amongst co-circulating viruses. Porcine reproductive and respiratory syndrome virus (PRRSV) type-2 is characterized by extensive genetic diversity and frequent variants emergence, leading to inadequate disease control and economic losses for the U.S. swine industry. Despite this, drivers of multi-strain dynamics of PRRSV remain poorly understood. Our objective was to phylogenetically classify co-circulating PRRSV variants in the U.S., quantify evolutionary dynamics of variant emergence, and describe potential antigenic differences among variants.
Methods
We used >12,000 orf5 sequences obtained from the University of Minnesota Veterinary Diagnostic Laboratory and sub-divided them into lineages and sub-lineages. We estimated each sub-lineage’s effective population size over time using Bayesian coalescent SkyGrid models, also used to estimate time between emergence and peak of each sub-lineage. Amino acid consensus of each sub-lineage were built to contrast differences between sub-lineages.
Results
We subdivided the most prevalent strain (Lineage 1, responsible for ~60% of sequences) into eight sub-lineages. We identified a pattern of sequential dominance of sub-lineages, with a new one replacing its predecessor approximately every three years. New sub-lineages emerged every 1 to 4 years and the time between emergence and peak population size was 4.5 years on average (range: 2–8 years). Each sub-lineage’s consensus amino acid sequences differed in key GP5 sites related to immunity response.

Conclusions
Our results suggests sub-lineage turnover may be linked to immune-mediated competition. This has important implications for understanding drivers of genetic diversity and emergence of new PRRSV variants in the U.S. Our results suggest that PRRSV may be an interesting model to study the evolution of diversity and sequential dominance of viral variants in a system where immune-mediated strain selection may occur.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","40011888-980a-402c-868e-27ff2aacbc1b","df5d618c-3702-4d9c-95b6-0ad39c8b6184","c54f9b9d-8dfb-410e-9187-f32dd54c71fc"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Igor Paploski","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Population genomics of Escherichia coli in livestock-keeping households across a rapidly developing urban landscape","PresentationBio":null,"Title":"Mr.","FirstName":"Dishon","LastName":"Muloi","Position":"Research Fellow","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Background and objectives
The keeping of livestock has been posited as a risk factor for the emergence of zoonoses and the spread of antimicrobial resistance. However, quantitative evidence regarding the major sources of pathogenic and drug-resistant bacteria and transmission routes between hosts remains lacking.
Materials and methods
In the largest epidemiological study of this nature to date, we sampled Escherichia coli from humans, livestock and peri-domestic wildlife in 99 households across Nairobi, Kenya to gain a deeper understanding of sharing of bacteria among hosts and potential reservoirs. By analysing whole genome sequencing data from 1,338 E. coli isolates, we reconstruct sharing patterns for the sampled E. coli and its antimicrobial resistance determinants.
Results
We find that the diversity and sharing patterns of E. coli is heavily structured by household, which is the primary epidemiological interface for bacterial strain sharing. Strain sharing within households was strongly shaped by host type. We also find evidence for inter-household and inter-host sharing, and importantly, between humans and animals, although this occurs much less frequently. We find similar strain sharing patterns for the E. coli accessory genome, suggesting that it is shaped by recent evolutionary history and is strongly associated with the core genome. Resistome similarity, however, were quite differently distributed across host and household, consistent with their being driven by shared exposure to antimicrobials. Our results indicate that a large, epidemiologically structured sampling framework such as the one employed in this study is needed to uncover strain sharing events between humans and livestock.
Conclusion
We demonstrate that the use of large-scale whole genome sequencing of bacteria can indicate the pathways that contribute the most to the exchange of microbes between different host populations in complex environments, pathways that ultimately drive the emergence of zoonoses and the spread of antimicrobial resistance.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","0c879798-e821-4cff-bf7e-791d4b78ec7f","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Dishon Muloi","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 12.A - Molecular Epidemiology","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-12T13:30:00+00:00","BaseEndDateTime":"2022-08-12T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T18:00:00.0000000+00:00"},{"Id":"3dd96aae-c056-47a7-845d-58850ffa093f","SessionBlockId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","Name":"Breakout Session 12.C - Epidemiologic studies in specific species (Goats and sheep)","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 503","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An outbreak of maedi in Trøndelag, Norway, in 2019-2020","PresentationBio":null,"Title":"Mr.","FirstName":"Grim","LastName":"Rømo","Position":"Researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Maedi, outbreak, prevalence, management, eradication.

Objectives
Maedi is a notifiable disease in Norway, and eradicating the disease is a national goal. A national maedi surveillance programme was established after the first official report in 1972. Several outbreaks have occurred between this first detection and 2005. In July 2019, a new case of maedi was detected in a sheep herd in Central Norway that resulted in an outbreak investigation. Our objective was to describe the diagnosis and management response to this outbreak.

Materials and methods
Serum samples were examined for antibodies against small ruminant lentivirus using commercial ELISA kits. Lungs and lymph node samples of sheep in seropositive herds were examined. A nested PCR for the gag and env genes of small ruminant lentivirus with subsequent sequencing was performed on selected lungs.

Results
More than 30.000 blood samples were serologically investigated for lentivirus between 2019 and 2021. Nine herds were diagnosed with maedi. All the infected herds were located in the same county and had had contact through animal trade practices. The maedi/visna virus was confirmed with PCR in six of the herds. Sequencing and phylogenetic analysis of the virus showed a close genetic similarity to the virus found in the outbreak in the same area in 2002-2005. Within-herd seroprevalence showed large variation among the study herds. In total, 88 herds had restrictions imposed due to maedi from 2019 to 2020. Six herds with more than 5% seropositive animals were stamped out. In three affected herds with less than 5% seropositive animals, only the positive animals and their offspring were slaughtered.

Conclusions
To eradicate maedi a more sensitive and specific diagnostic method, and an improved and more targeted surveillance are needed. We highlight the need to explore biosecurity practices in the affected herds that could be associated with the outbreak.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Grim Rømo","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Cache Valley Virus: prevalence and risk factors associated with seropositivity in Ontario sheep","PresentationBio":null,"Title":"Ms.","FirstName":"Michele","LastName":"Bergevin","Position":"PhD Candidate","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8c076ba611574749a6f5544c66c8469a","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Cache Valley virus (CVV) disease is a mosquito-borne zoonotic infection endemic to North America. CVV disease causes meningoencephalitis in humans and lethal congenital deformities in ungulates, primarily sheep. No vaccine against, or treatment for, CVV exists in humans or animals. Numerous CVV outbreaks in sheep flocks in Ontario, Canada have occurred in the past decade, but contributing factors remain unknown. Overall, there is a scarcity of CVV prevalence data for Canadian livestock, compounded by misdiagnosis and underreporting of cases in both sheep and humans.

Objective: To evaluate CVV seroprevalence in Ontario sheep and identify exposure risk factors.

Methods: A cross-sectional study was conducted to investigate the association between flock CVV seroprevalence and farm characteristics and management practices. Serum samples were collected from 20 mature ewes at each of the 18 farms randomly selected across southern Ontario in summer 2021 and tested for CVV antibodies using a virus neutralization assay. A questionnaire was conducted with the shepherd at each farm collecting data on nearby ecological conditions and management factors including housing, breeding schedule, flock and facility conditions. Mixed logistic regression with farm as a random effect was used to identify risk factors for and protective measures against sheep CVV seropositivity.

Results: Flock samples represented five sheep districts in the province, including the four largest in terms of ewes per district. Sixteen flocks (88.9%) were CVV seropositive, with sheep seropositivity ranging from 5% to 90% (mean= 38%, median= 35%) per positive flock. Preliminary regression analyses indicate important associations between sheep CVV seropositivity, age and housing factors.

Conclusion: CVV exposure is widely distributed across southern Ontario.

Keywords: Cache Valley virus, mosquito-borne disease, seroprevalence, risk analysis, One Health
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["43b008b2-8eab-460a-b708-b149b223981a","df5d618c-3702-4d9c-95b6-0ad39c8b6184","7d91534a-2f2b-447f-830f-6178f301b1a3"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Michele Bergevin","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Preliminary validation of a single-spot solid-phase competition ELISA for the diagnosis of southern African territories 1 foot-and-mouth disease serotype exposure in goats","PresentationBio":null,"Title":"Mr.","FirstName":"Geoff","LastName":"Fosgate","Position":"Professor","Organization":"University of Pretoria","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective
Perform a preliminary validation of a solid-phase competition ELISA (SPCE) in goats vaccinated and infected with foot-and-mouth disease virus (FMDV) southern African territories 1 (SAT1) serotype.

Materials and methods
Forty goats were vaccinated twice with a pentavalent FMDV vaccine and subsequently challenged with a SAT1 serotype virus. Blood was collected every seven days until termination at 14 days post-challenge. Both a single-spot and a half-titration SAT1 serotype FMD SPCE was performed in duplicate at two time points. Coefficient of variation (COV) and kappa were estimated as measures of repeatability and agreement, respectively. Accuracy of the single-spot SPCE was estimated relative to a SPCE log10 titer of 1.6 using mixed-effect logistic regression and receiver-operating characteristic (ROC) curves. Additionally, specificity and sensitivity were estimated based on serological results at study enrolment and 14-days post-challenge, respectively.

Results
Three hundred and forty-two serum samples were tested in duplicate on two non-consecutive days. The median (interquartile range (IQR)) COV for the single-spot SPCE was 2.1% (0.5, 14.3) and 2.5% (0.6, 12.8) for the two testing days. Median (IQR) inter-assay COV was 10.6% (2.5, 42.5). Kappa (95% CI) was 0.592 (0.516, 0.668) when evaluating agreement at the standard cut-off values. The single-spot SAT1 SPCE had an area under the ROC curve of 0.98 (0.97, 0.99) and a 70% percentage inhibition (PI) was the optimal cut-off. Specificity and sensitivity of the single-spot SPCE at the 70% PI cut-off were 83.4% (77.7, 87.9) and 95.8% (90.7, 98.2), respectively. Specificity was estimated as 100% (92.6, 100) and sensitivity as 97.3% (87.4, 99.9) when only considering serum tested at the beginning and end of the study, respectively.

Conclusion
The single-spot SAT1 FMDV SPCE is accurate for determining serological status in goats but a higher serum dilution or cut-off is recommended.

Key words: FMD, goats, serology, vaccination, validation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["e9fc4102-bbd6-4cbf-9b8a-cdce30ffbb88","7d91534a-2f2b-447f-830f-6178f301b1a3","fad4e092-eee7-46ed-b4a6-a335b0f641b7","84b4edb4-71ea-4d85-9aa9-c6aaea9282ae"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Geoff Fosgate","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Factors and impact associated with sheeppox and goatpox seroprevalence, identification of high-risk areas and economic viability of vaccination in northern Nigeria","PresentationBio":null,"Title":"Dr.","FirstName":"Georgina","LastName":"Limon","Position":"","Organization":"The Pirbright Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Sheeppox and goatpox (SGP) are widespread in Asia, Africa and Middle East, affecting considerable number of small ruminants kept by subsistence producers. There are important knowledge gaps on the epidemiology and economic viability of SGP vaccination programmes in endemic countries. We conducted a series of field studies in three states of Northern Nigeria to (i)assess the extent and geographic distribution of SGP seropositivity in backyard small ruminant flocks, (ii)identify risk factors for SGPV exposure at animal and herd level and (iii)estimate the financial impact and economic viability of SGP vaccination. Older animals and small ruminants with a history of clinical SGP had higher odds of being seropositive (OR=8.0, p=0.008 and OR=16.9, p=0.01 respectively). Bringing new small ruminants into the household and having a history of SGP in the flock were the main factors identified at household level. Households were less likely to be sero-positive if the time between bringing animalsinto the household and sampling was over a year (PR = 0.31, p = 0.05), while households with a history of SGP were more likely to be sero-positive regardless of the timeframe. Importantly, spatial heterogeneity was found across local government areas (LGA) (Morans’ I 0.2, p=0.005), with LGA in the north-east and north-west of the study area identified as hot-spots for SGPV exposure.Median SGP losses per reproductive female were £27 (90%C.I. £22-£31) in sedentary and £30 (90%C.I. £21-£41) in transhumance herds. SGP vaccination was determined to be economically viable at the herd and regional level for most scenarios considered. Median benefit-cost ratio (BCR) for a regional SGP vaccination standalone programme range from 6-27 depending on the proportion of subsidies. Results from these studies shed new light on the epidemiology of SGP and the economic benefit of vaccination, providing evidence for policy makers to use when designing SGP intervention programmes. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7d91534a-2f2b-447f-830f-6178f301b1a3","df5d618c-3702-4d9c-95b6-0ad39c8b6184"],"SocialMedia":{"_twitterHandle":"g_limonv","_facebookUrl":"","_linkedInUrl":"uk.linkedin.com/in/georgina-limon-32b3ab40","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"g_limonv","FacebookUrl":"","LinkedInUrl":"uk.linkedin.com/in/georgina-limon-32b3ab40","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=g_limonv","FullFacebookUrl":"","FullLinkedInUrl":"http://uk.linkedin.com/in/georgina-limon-32b3ab40","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=g_limonv","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://uk.linkedin.com/in/georgina-limon-32b3ab40","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Dr. Georgina Limon","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatio-temporal cluster analysis and transmission drivers for Peste des Petits Ruminants in Uganda","PresentationBio":null,"Title":"Ms.","FirstName":"Kristina","LastName":"Roesel","Position":"Scientist","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ff3b7b71227a4af3a29f44741ed69716","IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Peste des Petits Ruminants (PPR) is a transboundary, highly contagious, and fatal disease of small ruminants. PPR causes global annual economic losses of between USD 1.5-2.0 billion across more than 70 affected countries. Despite the commercial availability of effective PPR vaccines, lack of financial and technical commitment to PPR control coupled with a dearth of refined PPR risk profiling data in different endemic countries has perpetuated PPR virus transmission. In Uganda, over the past five years, PPR has extended from north-eastern Uganda (Karamoja) with sporadic incursions in other districts.

To identify disease cluster hotspot trends that would facilitate the design and implementation of PPR risk-based control methods (including vaccination), we employed the space-time cube approach to identify trends in the clustering of outbreaks in neighbouring space-time cells. We also used negative binomial and logistic regression models.

We identified high small ruminant density, extended road length, low annual precipitation and high soil water index as the most important drivers of PPR in Uganda. The study identified (with 90 - 99% confidence) five PPR disease hotspot trend categories across subregions of Uganda. Diminishing hotspots were identified in the Karamoja region whereas consecutive, sporadic, new, and emerging hotspots were identified in central and southwestern districts of Uganda.

Inter-district and cross-border small ruminant movement facilitated by longer road stretches and animal comingling precipitate PPR outbreaks as well as PPR virus spread from its initial Karamoja focus to the central and south-western Uganda. There is therefore urgent need to prioritize considerable vaccination coverage to obtain the required herd immunity among small ruminants in the new hotspot areas to block transmission to further emerging hotspots. Findings of this study provide a basis for more robust timing and prioritization of control measures including vaccination.

Key words: Peste des Petits Ruminants, Uganda, Hotspots, Transmission drivers, Regression models, ArcGIS
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["24501ada-9012-4768-b364-fce65f237042","512e7a65-c837-49ce-8f06-827e25887293","7d91534a-2f2b-447f-830f-6178f301b1a3","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":"kristinaroesel ilri ohreca_ilri","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/kristina-roesel-7a06b832","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"kristinaroesel ilri ohreca_ilri","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/kristina-roesel-7a06b832","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=kristinaroesel ilri ohreca_ilri","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/kristina-roesel-7a06b832","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=kristinaroesel ilri ohreca_ilri","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/kristina-roesel-7a06b832","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Kristina Roesel","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 12.C - Epidemiologic studies in specific species (Goats and sheep)","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-12T13:30:00+00:00","BaseEndDateTime":"2022-08-12T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T18:00:00.0000000+00:00"},{"Id":"f002cad3-f498-4110-84d2-a3d16319c66f","SessionBlockId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","Name":"Breakout Session 12.B - Disease Control and Eradication Programs","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Examining decision making in the vaccine value chain for foot-and-mouth disease in Kenya","PresentationBio":null,"Title":"Ms.","FirstName":"Barbara","LastName":"Haesler","Position":null,"Organization":"Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Describe and assess the vaccine value chain (VVC) for foot-and-mouth disease (FMD) in Kenya.

Methods: Key-informant interviews were conducted with public and private actors, including from national and county government, the pharmaceutical industry, UN agencies, farmers and private animal healthcare providers to gather information on their role in FMD, its control and vaccination, and perceptions of strengths and weaknesses in the FMD VVC. These qualitative data were analysed using framework analysis, and integrated with descriptive statistics calculated from primary data on vaccine use, collected from 159 randomly-selected smallholder dairy households in areas known to have experienced recent FMD outbreaks in Nakuru County, Kenya.

Results: Inactivated quadrivalent FMD vaccine is produced in Kenya by a parastatal organisation for the Kenyan market. Production is linked to demand from veterinary departments in Kenya’s devolved county system through a government procurement system; private-market demand is limited and not linked to production. County-level demand is not coordinated nationally and can fluctuate with outbreaks, impacting disease coordination between neighbouring counties and applying unpredictable production pressure on the vaccine-producing institute. Strategic direction for FMD vaccination originates from the central Directorate for Veterinary Services, and is separate from county-level government operations and budgets, which usually have different priorities. 78% of households reported cattle had been vaccinated against FMD; 47% in the preceding six months. 77% of FMD vaccines in Nakuru were delivered free-of-cost through the public system; vaccination is often reactive not proactive due to under-resourcing. Farmers understand vaccination as a government role. Private-sector actors were supportive of disease control efforts but often found it difficult to engage in the VVC because of insufficient resourcing or communication pathways.

Conclusion: Opportunities exist for public-private-partnerships to strengthen the VVC. Integration of private actors at production, allocation and distribution points in the VVC will require systemic political support and realignment.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Barbara Haesler","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Assessment of effectiveness of a foot and mouth disease vaccine in Ethiopia ","PresentationBio":null,"Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Organization":"Ilri","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"This study was aimed at evaluating the field effectiveness of a trivalent foot and mouth disease (FMD) vaccine (containing serotypes O, A and SAT 2), produced and widely used in Ethiopia, in terms of preventing clinical infection and severe disease.

A randomized controlled trial design was employed in the study in which the attack rate of clinical FMD infection in vaccinated cattle was compared with the attack rate in unvaccinated controls in cattle population of 16 villages in Gondar Zuria district, Northwest Ethiopia. The vaccine was administered as a single dose course in the face of an impending FMD outbreak and the trial groups were monitored for clinical infection until the end of the outbreak.

The attack rate of clinical FMD in the vaccinated cattle (34%) was significantly lower than the attack rate in unvaccinated controls (49%) (p< 0.001). However, the effectiveness of the vaccine was only 31% (95%CI: 20 - 40%). The proportion of severely affected cattle in the vaccinated group (5.7%) was significantly lower than in the unvaccinated group (9.4%) (p< 0.001), resulting in 39% (95%CI: 18-55%) vaccine effectiveness against severe disease.

The observed level of vaccine effectiveness was lower than the internationally recommended 70% expected percentage of protection for a standard potency 3PD50/dose FMD vaccine. Moreover, the level of effectiveness was insufficient to provide herd immunity to control the disease at the population level. Nevertheless, given the significant difference in the incidence of clinical disease between vaccinated and unvaccinated cattle, it might still be cost-effective to use the current vaccine to reduce production losses. Factors that cause low effectiveness of the vaccine need to be identified and addressed for effective control of the disease at population level.
Keywords: Clinical trial, Effectiveness, Ethiopia, Foot and mouth disease, Vaccine
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["21c6493c-d758-4b04-ada0-31630a7d6827","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Theo Knight-Jones","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"An analysis of the impact of badger control on bovine tuberculosis in England","PresentationBio":null,"Title":"Dr.","FirstName":"Colin","LastName":"Birch","Position":"Lead Statistician","Organization":"Animal And Plant Health Agency","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e6bbcf4270954b36a489de0b8d2fb2b2","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Bovine tuberculosis (bTB) resulting from infection by Mycobacterium bovis causes substantial losses of cattle in England, particularly across the South West and West Midlands. The European badger (Meles meles) is one source of infection. Since 2013, a badger culling policy (BCP) has been applied to reduce the incidence of bTB in cattle. Widespread systematic culling by industry has been licenced in areas of 200 to 1300 km² for a minimum of four years. We present an analysis of the effects from the BCP to the end of 2020.

Materials and Methods: By 2019 the assignment of land to BCP measures left insufficient unaffected area for a cross-sectional comparison of bTB in cattle between cull areas and non-culled areas. Instead, effects were estimated using a linear model of bTB incidence in 42 areas subject to BCP by 2019. The model compared confirmed bTB incidence rates within each area before and after culling started, and between areas that started culling in different years. The model factor variables were area identity, year, and 6 levels for a management factor: before culling and the 1st, 2nd, 3rd, 4th, and later years after culling started.

Results:
Figure 1. Marginal effects on confirmed bTB incidence rate associated with duration of badger control. Error bars indicate 95% confidence intervals.

Conclusion: Within the large area under BCP measures by 2019, reduced bTB incidence at a local level was significantly associated with time after the start of badger culling.

Keywords: Bovine tuberculosis, Badger, Wildlife reservoir, Mycobacterium, Linear model
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Methods: CWD surveillance relies on testing cervids, including reindeer, found dead, hunted, or at regular slaughter with ELISA rapid test for screening and Western Blot for confirmation. We used scenario trees to model the probability of disease and diagnostic test sensitivity in individual sampled reindeer and estimate herd level and system-wide sensitivity. We then used these parameters to calculate probability of disease freedom in individual Sami villages and at the national level with yearly temporal discounting. We ran multiple simulations using a range of values for key parameters as a sensitivity analysis.

Results: Sampling is highly variable between villages each year (0 to 588), causing a wide range of village freedom probabilities (49% to 99%). This heterogeneous sampling led to a national probability of freedom of 52% to 77% for 2021 with current parameter assumptions. Sensitivity analysis showed that key parameters for which information is poor, such as probability of introduction and design prevalence, had a strong influence on model output.

Conclusion: To date, CWD has not been identified in Swedish reindeer. Current surveillance needs to be increased, sustained, and more evenly distributed to ensure high level of confidence in continued CWD absence in Swedish reindeer.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","ad0bbcc1-b4fd-4649-8742-3e2c59eedd41"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jerome Baron","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Committed, co-dependent or cautious? Shared perceptions of biosecurity among Bangladesh's chicken producers","PresentationBio":null,"Title":"Ms","FirstName":"Lisa","LastName":"Kohnle","Position":"Scientific Officer","Organization":"EFSA","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/aea8393dd5b64871b77d7a11a2b23c9c","IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"In Asia, intensive poultry production is increasing and at constant risk of infectious disease transmission. Major risk factors include varying levels of biosecurity implementation, which typically depend on each individual's perception. This study aimed to explore the range of perceptions of common farming practices shared among broiler chicken farmers in Bangladesh in 2019.
Combining qualitative and quantitative approaches, we used the Q-methodology to identify and characterise groups of farmers with similar perceptions of biosecurity and farm management. First, 40 opinion statements were generated based on 16 semi-structured interviews and a focus group discussion. Topics included advantages and disadvantages of farming practices, their feasibility and cost-effectiveness, and sources of information. Another 30 farmers were then invited to distribute these opinion statements on a sorting grid (ranging from 'not at all like me' to 'very much like me'), depending on how much they identified with each of them. Finally, principal component and factor analysis were applied to group farmers according to the sorts obtained.
Three factors, representing 54% of the total variance, were extracted and used to characterise 3 groups of farmers. The first group comprised 11 participants who appreciated the benefits of biosecurity and were happy to invest both time and money (the 'Committed'). The 8 participants contributing to the second group were less confident and relied mostly on external sources of advice. They did not consider themselves better decision-makers and were easily influenced by other stakeholders, especially through patron-client relationships with feed dealers (the 'Co-dependent'). The last group included 6 participants who were very concerned about infectious diseases and refused any interference by feed dealers (the 'Cautious').
This study identified 3 groups of farmers with differing perceptions, for which tailored interventions, addressing group-specific needs, can be designed to improve biosecurity and farm management in Bangladesh's poultry production.

Keywords: biosecurity, perceptions","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["3f8f17d1-2efe-478a-afcb-b2bbc3fe92bc","d12154ed-5a96-4eee-9b2d-d5985b20d3db","1304e690-d6da-410b-9c6d-a8c1adf431e9"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms Lisa Kohnle","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Habitat Selection by Free-Roaming Domestic Dogs in Rabies Endemic Countries ","PresentationBio":null,"Title":"Miss","FirstName":"Laura","LastName":"Cunha Silva","Position":"Ecvph Resident","Organization":"Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Switzerland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":6,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Domestic dog bites are the source for 99% of human rabies cases worldwide, and these occur in resource-poor countries where dogs are predominantly kept free-roaming. Understanding how dogs roam and their preferred locations to inhabit, can inform decision-makers about possible high-risk locations for rabies spread, and allow targeting these habitats to locate the dogs during parenteral or oral vaccination campaigns.
In the current study, we analysed habitat selection of 321 free-roaming domestic dogs (FRDD) from five study sites (two urban and three rural areas) in Indonesia and Guatemala, two countries where canine rabies is still endemic. We used GPS telemetry devices to track most preferred locations of FRDD over time, and applied spatial mixed effects logistic regression models to identify their pattern of habitat selection in relation to anthropogenic (e.g. buildings, roads) and geographical characteristics (e.g. vegetation coverage, slope) in a rural and urban landscape.
The results disclosed a similar pattern of habitat selection by FRDD, independent of country and landscape. The most preferred locations were buildings and roads. FRDD were significantly less often present in vegetation compared to buildings and roads. We also investigated how the slope of the area influences presence of dogs and found that FRDD clearly avoid steep terrains, favoring flatter topography.
This study can inform the planning of campaigns for oral vaccination of FRDD, a strategy recently presenting efficiency to target dogs inaccessible for parenteral vaccination, and that may be required to sustainably eradicate canine rabies by 2030. Our findings also contribute to the understanding of FRDDs' choices within their living area and can be employed to better planning of both oral and parental vaccination campaigns, leading to more efficient resource allocation in rabies afflicted countries, and higher vaccination coverage.

Keywords: Free-roaming domestic dogs; Dog-mediated rabies; Habitat selection; GPS telemetry","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fad4e092-eee7-46ed-b4a6-a335b0f641b7","33998207-8c57-4717-9114-ccf9182e92bf","a424daba-5d1a-4f4a-9bf5-d16c5f51514c","512e7a65-c837-49ce-8f06-827e25887293"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Laura Cunha Silva","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 12.B - Disease Control and Eradication Programs","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-12T13:30:00+00:00","BaseEndDateTime":"2022-08-12T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T18:00:00.0000000+00:00"},{"Id":"159ceae0-0007-4d59-844f-a4d29ba5ae8c","SessionBlockId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","Name":"12_Special Session Part 1: Randomized control trials and the reality of impact evaluations","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":"Many promising interventions have been rolled out without rigorous evaluation and many have failed to deliver expected impacts. As a result, interest has grown in rigorous evaluation of interventions. Randomized control trials offer the highest level of scientific evidence and are the only study type that provide unquestionable evidence of causality. RCTs are the gold standard in the pharmaceutical industry to provide evidence on the effect of a new drug or product. RCT are also a common study design in the medical field to test the effect and efficacy of health treatments or public health interventions. Their use in the veterinary public health and economics fields is growing rapidly; however, their practical application in low- and middle-income countries presents some challenges. The session has two parts:

\r\n\r\nA)\tDesign of RCTs. This will discuss key principles underpinning the design of RCTs and examples of their use in evaluations of relevance in veterinary epidemiology and economics.
\r\nB)\tRCTs in action. This will describe challenges, successes, and disappointments in the use of RCTs to assess food safety interventions in LMICs, an emerging area of investigation.

\r\n\r\nThe session will present and discuss a wide range of case studies, from station-based trials to field trials of complex interventions, engaging the audience in a conversation around design and compliance, as well as the wider aspects of evidence generation and use.

\r\n\r\n13:30 - 13:35 Welcome
\r\n13:35 - 13:45 Keynote Silvia Alonso
\r\n13:45 - 13:55 Keynote Delia Grace Randolph
\r\n14:05 - 14:15 RCT Case 1
\r\n14:15 - 14:25 RCT Case 2
\r\n14:25 - 14:35 RCT Case 3
\r\n14:35 - 15:00 Discussion\r\n","Overview":"Chairs: Silvia Alonso & Delia Grace Randolph","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Critical elements in the design and implementation of RCTs of complex interventions in animal health and public health ","PresentationBio":"Silvia Alonso is a senior scientist at the International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia. She is a veterinarian with postgraduate training in epidemiology and public health. She holds a MSc in Epidemiology from the London School of Hygiene and Tropical Medicine, a PhD in veterinary public health and is a Diplomate of the European College of Veterinary Public Health. Silvia worked for 5 years as a lecturer at the Royal Veterinary College where she gained experience in teaching and training at undergraduate and postgraduate level, both nationally and internationally. She has more than 15 years of experience in public health research, both in Europe and internationally. Her research looks at the interface between livestock production and human health, including nutrition. During her time at ILRI she has been involved in a range of projects looking at the epidemiology and control of different zoonoses, mainly foodborne, and on strategies for sustainable food safety in informal markets. Her current research explores how to leverage livestock value chains to improve health and nutrition. She is leading the first large-scale field trial of an intervention in informal markets to improve food safety and child nutrition in peri-urban Nairobi. She is a Diplomate of the European College of Veterinary Public Health.

","Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/237ad80304a445dfbf4773d8e5455fa9","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Many promising interventions have been rolled out without rigorous evaluation and many have failed to deliver expected impacts. As a result, interest has grown in rigorous evaluation of interventions. Randomized control trials offer the highest level of scientific evidence and are the only study type that provide unquestionable evidence of causality. RCTs are the gold standard in the pharmaceutical industry to provide evidence on the effect of a new drug or product. RCT are also a common study design in the medical field to test the effect and efficacy of health treatments or public health interventions. Their use in the veterinary public health and economics fields is growing rapidly; however, their practical application in low- and middle-income countries presents some challenges. This keynote presentation will discuss key principles underpinning the design of RCTs and examples of their use in evaluations of relevance in veterinary epidemiology and economics.
The keynote will be followed by a panel where experts will present and discuss a wide range of case studies, from station-based trials to field trials of complex interventions, engaging the audience in a conversation around design and compliance, as well as the wider aspects of evidence generation and use.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"13:35:00","EndTime":"13:45:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Silvia Alonso","TimeDisplay":"1:35 PM - 1:45 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Impact of market-based food safety interventions from in low- and middle-income countries","PresentationBio":"Delia Grace is a veterinarian and epidemiologist who has worked in developing countries for twenty five years in NGOs, donor organisations and most recently research. Her main speciality is food safety in informal markets, but she also researches other One Health issues including emerging diseases and zoonoses. She also has worked on animal diseases, gender and livestock, and animal welfare. She is currently a Professor of Food Safety Systems at the Natural Resources Institute and a joint appointed Senior Scientist at the International Livestock Research Institute in Kenya.

","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Organization":"University of Greenwich","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f3b3946d57244ad8b2d2bd285c1f3cec","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The last decade has seen increasing interest in interventions to improve food safety in informal markets driven by the realisation of the huge health and economic burden attributable to food sold in these markets, along with the many benefits they provide to nutrition and livelihoods. However, market-based interventions lack long term evaluation. To fill this gap, we are evaluating a portfolio of market-based projects in Africa and Asia, involving or led by ILRI, that aimed to improve the safety of highly nutritious but highly risky foods.

Materials and Methods: We developed a framework on factors influencing sustainability and scalability of interventions and applied it to 12 completed or ongoing projects in Kenya (3), Nigeria (2), Ethiopia (2), India, Cambodia, Vietnam, Senegal and Uganda.

Results: Project evaluation showed a range of results. Most had positive short term outcomes but only a minority showed long-term impacts. This was largely explained by the factors we had identified as important for effectiveness, sustainability and scalability. These factors which could be grouped under three domains: enabling governance environment; capacity building for actors (workers and consumers); and, motivation for behaviour change (the three-legged stool).

Conclusions: Understanding the requirements for intervention success can help in planning and implementation of food safety interventions in informal markets.

Key words: intervention, behaviour change, food safety, informal markets, developing countries","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"13:45:00","EndTime":"13:55:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Delia Grace Randolph","TimeDisplay":"1:45 PM - 1:55 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Design and implementation of RCTs of prophylactic and therapeutic interventions relevant to food production","PresentationBio":"Dr. Jan M. Sargeant has a DVM degree and an MSc and PhD in Epidemiology from the Ontario Veterinary College University of Guelph. After working at Kansas State University in the US and McMaster University in Canada, she has been on faculty at the University of Guelph since 2007; she a professor of Epidemiology in the Department of Population Medicine at the Ontario Veterinary College, the founding Director of the Centre for Public Health and Zoonoses (2007-2019), and a Fellow of the Canadian Academy of Health Sciences. Jan’s current research interests are the epidemiology of zoonotic pathogens (including foodborne pathogens and antibiotic-resistance), linking research across disciplines and among animal health and human health communities, and evidence-informed decision-making in agri-food public health. She is a co-lead and co-author of the REFLECT and STROBE-Vet reporting guidelines for clinical trials and observational studies in animal populations. ","Title":"Dr.","FirstName":"Jan","LastName":"Sargeant","Position":"Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Randomized controlled trials (RCTs) provide the highest level of evidence for the efficacy of interventions when study subjects can be randomly allocated to groups. However, to be useful, RCTs must be well conducted and well-reported. The important features for high methodological rigour in RCTs are known, although not always implemented. The REFLECT statement provides guidance on comprehensive reporting of RCTs in livestock populations and food safety and there is some evidence that reporting has improved since its publication in 2010. However, less attention has been focused on the selection of interventions and outcomes to maximizes the usefulness of trial results. Results across multiple trials on the same intervention and with the same outcome should be considered when making decisions on whether to use an intervention, because the results of a single trial are subject to sampling error and don’t reflect biological variability. Systematic reviews on RCTs in beef cattle, dairy cattle, and swine have illustrated that there is little replication of interventions addressing the same clinical question. Some trials did not include an intervention arm that was common to any other published trial, precluding a comparison of the results across the body of literature on that clinical question. There also was large variation in the outcomes that were measured among trials on the same topic, both in terms of case definition and time at risk. To build a body of evidence, researchers should ensure that at least one of the interventions groups in their trial has been used previously, to allow results to be linked and compared across studies. The use of core outcome sets would ensure that at least some outcomes are common across trials. This will allow a body of evidence on intervention efficacy to be built over time, maximizing the research investment.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"14:05:00","EndTime":"14:15:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jan Sargeant","TimeDisplay":"2:05 PM - 2:15 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"RCTs amidst political controversy – lessons learned","PresentationBio":null,"Title":"Dr.","FirstName":"Paul","LastName":"Morley","Position":"Professor and Research Director","Organization":"Texas A&M University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/514a7f0ee1414172922c811c75dd5363","IsPresentingAuthor":false,"Order":4,"Documents":[],"CoAuthors":[],"StartTime":"14:15:00","EndTime":"14:25:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Paul Morley","TimeDisplay":"2:15 PM - 2:25 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Vaccine research and the pathway to implementation in East Africa","PresentationBio":"Elizabeth Cook is a veterinary epidemiologist at the International Livestock Research Institute. Her research focus is the epidemiology of zoonoses and she is involved with a number of One Health research projects in East Africa.

","Title":"Ms.","FirstName":"Elizabeth","LastName":"Cook","Position":null,"Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
The objectives are to give an overview of the approach and challenges of implementing field based randomised control trials (RCTs) for animal products and then taking products to market in East Africa.

Materials and methods
The presentation will focus on the implementation of a field trial for a novel Rift Valley fever (RVF) vaccine. The trial was conducted using good clinical practice (GCP) guidelines. It was a blinded, non inferiority trial comparing the novel RVF vaccine to a currently available commercial product. The vaccine trial was conducted in cattle, sheep, goats and camels.

Results
The trial was conducted at Kapiti Research Station between 2019 and 2021. Research compliance included institutional ethics approval, a research license from the Kenyan Government, and regulatory authorisation from the Kenyan National Biosafety Authority since the product was genetically modified. There were 674 animals in the trial (180 cattle, 180 sheep, 180 goats and 134 camels). There were three treatment groups for the novel vaccine, commercial vaccine and placebo. The trial generated 24,264 samples and 4,500 data clarification forms. Personnel included 3 veterinarians, 2 statisticians, 20 animal handlers and 6 laboratory staff.

Conclusion
The presentation will outline the physical and technical requirements for conducting a field based RCT, the regulatory challenges, and the process of taking the product to market. The approach will be compared to other recent vaccine developments to highlight common challenges in evaluation and the regulatory processes.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"14:25:00","EndTime":"14:35:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Elizabeth Cook","TimeDisplay":"2:25 PM - 2:35 PM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"12_Special Session Part 1: Randomized control trials and the reality of impact evaluations
Chairs: Silvia Alonso & Delia Grace Randolph","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-12T13:30:00+00:00","BaseEndDateTime":"2022-08-12T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T18:00:00.0000000+00:00"},{"Id":"328192c0-d1c8-4b2b-9f4c-b578cfe52b34","SessionBlockId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","Name":"Breakout Session 12.E - Epidemiologic Principles and Methods (Bias)","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","StartTimeOverride":"13:30:00","EndTimeOverride":"15:00:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The Burden of Comparison: The implications of discrepancies across livestock data sources","PresentationBio":null,"Title":"Ms.","FirstName":"Deborah","LastName":"Stacey","Position":"Associate Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
All models of livestock production and health as well as the impact of animal agriculture on climate rely on representative counts for different species. The number of animals and their live/slaughter weights are integral to the calculation of biomass, which is an important part in many models. It would seem to be a simple process to obtain the numbers of a particular species in countries all over the globe. Unfortunately, there are a limited number of data sources for these statistics and upon examination these numbers rarely agree.

The Informatics theme of the Global Burden of Animal Diseases (GBADs) examined a number of data sources for population counts and weights including FAOSTAT, OIE, and reports on livestock from the Central Statistical Agency of Ethiopia.

Methods
A data analysis tool, which analyzes categories of livestock species, was created by our team. The tool was used to study data from the Ethiopian livestock reports and analyze animal categories across selected countries.

Results
Data analysis with our comparison tool revealed that there are varying degrees of disagreement between numbers from different data sources. Causes for discrepancies were analyzed, revealing a lack of standard definitions and metadata, changes in categorization of animal species over time, and changes in the calculation of statistics (national estimates versus imputation by an international agency). Furthermore, the analysis of Ethiopian statistics demonstrates heterogeneity in data collection across the country.

Conclusion
The accuracy of models is dependent on the data used. Our analysis demonstrates the importance of analyzing the quality of data through the identification of variability between multiple data sources. There is even a need to analyze a single data source longitudinally. Proper analysis and provenance of foundational data is crucial to the confidence we have in modelling outputs.

Keywords: data analysis, livestock, GBADs","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d3066121-1fde-4a88-a77e-f435960ef4f2","9f2295d7-194f-44de-9cea-8eb77d958e64","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Deborah Stacey","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Bovine tuberculosis outbreak reconstruction in a multi-host system: conclusions drawn from simulated data reflecting the inherent sampling bias ","PresentationBio":null,"Title":"Ms.","FirstName":"Hélène","LastName":"Duault","Position":"Phd Student","Organization":"Anses Laboratory For Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objective: Previous studies on bovine tuberculosis (bTB) outbreaks involving both cattle and wildlife have identified biases inherent in multi-host data collection. Indeed, contrary to cattle, sampling wildlife is difficult and in France, wildlife surveillance was implemented late. The aim of our study was to clarify the impact of these biases on outbreak reconstruction methods that use genomic and epidemiological data.
2. Materials and methods: We simulated a bTB outbreak involving cattle, badgers and wild boars using an existing transmission model. We simulated genetic sequences along the transmission tree according to a Jukes Cantor substitution model, a fixed mutation rate and while accounting for within-host diversity. We then implemented four sampling strategies: 1) all animals, 2) all epidemiological units (badger social groups, farms and wild boars), 3) no wild boars, and 4) wildlife only after a given date. Using the sampled sequences, we reconstructed outbreak with two methods: seqTrack and outbreaker2. We were interested in comparing the number of inter-species transmission events in the simulated outbreak to those estimated by the methods.
3. Results: Overall, outbreaker2 performed better than seqTrack and sampling strategies 1 and 2 provided the best results. When wild boar sequences were not sampled (sampling strategy 3), the proportion of badger-to-cattle and cattle-to-badger transmission increased as expected and their ratio was inversed with seqTrack. Finally, a late implementation of wildlife sampling (sampling scenario 4) also altered the results with increased transmission being predicted from cattle to wildlife for seqTrack and decreased transmission between wildlife and cattle for outbreaker2.
4. Conclusion: We demonstrate that ignoring sampling bias can lead to erroneous conclusions when reconstructing transmission trees and therefore, sampling bias should be taken into account.

Keywords: multi-host system/bovine tuberculosis/genomic epidemiology/transmission tree/sampling bias","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["df5d618c-3702-4d9c-95b6-0ad39c8b6184","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","f7f3eedb-116f-47e6-9ba9-0a85ef4089fc","76c84259-9a28-4ba9-a370-db4b00031911","a6e18364-9d10-4a4d-b5a9-4f87ce64492c","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Ms. Hélène Duault","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"A simulation-based approach to determine sample sizes in stochastic scenario tree models for freedom of disease","PresentationBio":null,"Title":"Mr.","FirstName":"Henrik","LastName":"Stryhn","Position":"Professor","Organization":"Atlantic Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/18e8b4fec5ec4922a0b7f59319aafc2c","IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: For complex scenario trees, explicit sample size formulas are rare. This study aims to describe how simulations can be organized to determine suitable sample sizes, and additionally to illustrate the impact of key parameters in scenario trees.

Methods: Scenario tree models to quantify the probability of freedom of disease (PFD) are relatively easy to explore by simulation because calculations are conditional on all test results being negative, utilizing the specific tree structure, its nodes and the design prevalence(s). Having drawn values for any quantitative nodes from their respective distributions, models are sequentially updated across the time steps of interest. Looping over candidate sample sizes can determine minimal values to achieve (say) the mean posterior distribution of PFD, aggregated across simulations, to exceed any desired level.

Results: The figure depicts minimal (fixed across periods) sample sizes for a two-level scenario tree model with animal and herd design prevalences both at 0.01, and stochastic nodes for test sensitivity and probability of introduction: PERT(0.40,0.95,0.99) and PERT(0.001,0.030,0.070). Allowing a few time periods to achieve the desired PFD level reduces sample size requirements in each period and only moderately increases the total number of animals. Sampling multiple animals per farm reduces the required number of farms, but may increase the total number of animals substantially.

Conclusion: Scenario tree models allow simulation-based sample calculations targeted to any specific model characteristics.

Keywords: Scenario tree, Simulation, Two-level structure

Figure. Required sample sizes to achieve posterior mean 90% PFD in different time horizons and across different sampling scenarios.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/bb096e0fd82a4c75a5c5932e1e6e5f44","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a6e18364-9d10-4a4d-b5a9-4f87ce64492c","b0bd2f55-d3c8-46a5-98db-b9f944eb8d0f","c54f9b9d-8dfb-410e-9187-f32dd54c71fc","33998207-8c57-4717-9114-ccf9182e92bf"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Henrik Stryhn","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Urban Rift Valley Fever Virus as a New Ecological Niche: Continuous Introduction from Animal Products?","PresentationBio":null,"Title":"Dr.","FirstName":"Keli","LastName":"Gerken","Position":"Post-doctoral Researcher","Organization":"Stanford University School of Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/003f91db47bd489ba38dd24f2c78aa68","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Key words: urban zoonotic Rift Valley Fever, livestock movement, slaughterhouse

Objective
Rift Valley Fever virus (RVFV) is a globally important mosquito-transmitted virus that is endemic across Africa and can cause severe disease in domestic ruminants and humans. Spread is driven by livestock movement and despite high urban demand for meat, RVFV has not been identified in urban centers.
The objectives of this mixed methods study were to assess risk by testing slaughtered livestock for RVFV exposure and map origins and routes of animals take to enter the urban food chain.

Materials and methods
This study was carried out in Kisumu, Kenya, at the main urban slaughterhouse. Blood was collected from cattle, sheep, and goats directly after slaughter and tested for RVFV exposure using a commercially available IgG kit. Slaughterhouse businessmen responded to a questionnaire about the animals’ origin, marketplace, and transport. Livestock flow from origin to slaughterhouse was mapped using participatory mapping techniques in focus group discussions. Qualitative data on route influences and challenges with livestock movement was then integrated into the map for context.

Results
A total of 304 blood samples were collected from slaughtered livestock. 99% of animals were purchased from 28 different markets across eight counties in Kenya. A 9% overall seroprevalence was identified and seroprevalence in cattle alone was 18%. Migori county that shares a border with Tanzania had a 25% seroprevalence and 80% of all positive cows came from one marketplace in this county. Road quality influenced decisions for transporting animals and marketplace choice was driven by price.

Conclusion

This study provided proof of concept for a novel sampling framework that can be locally implemented and rapidly deployed in response to increased regional risk. This information can be used in conjunction with participatory maps to improve livestock surveillance in urban centers of RVFV endemic regions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1304e690-d6da-410b-9c6d-a8c1adf431e9","a6e18364-9d10-4a4d-b5a9-4f87ce64492c","d56d78e6-05a3-4b3a-99ad-b8900abe5d94","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","43b008b2-8eab-460a-b708-b149b223981a"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Keli Gerken","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Use of environmental samples to maximize surveillance efficiency for avian influenza viruses circulating in wild waterfowl","PresentationBio":null,"Title":"Dr.","FirstName":"Michelle","LastName":"Coombe","Position":"","Organization":"University of British Columbia / BC Ministry of Agriculture, Food, and Fisheries","PhotoUrl":null,"IsPresentingAuthor":false,"Order":5,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: Avian influenza viruses (AIV) can cause devastating disease in domestic poultry. Wild waterfowl—the natural reservoir for AIV—are the focus of surveillance efforts. Traditionally, surveillance focuses on testing individual waterfowl, which is limited by the difficulty in collecting a representative sample of birds. Environmental samples, particularly wetlands sediments where AIV-laden waterfowl feces accumulate, pose a promising alternative. Our objectives were to determine (i) optimal locations for environmental sample collection and (ii) if wetland sediment can match the genetic diversity detected in conventional surveillance.

Methods: Both conventional surveillance (N = 580 hunted waterfowl) and environmental surveillance (N = 701 sediment samples) took place in the lower mainland of British Columbia, Canada, during fall of 2016 and 2017. Presence of AIV was detected by qPCR for matrix gene. A Bernoulli GAM evaluated the association between environmental factors and presence of AIV in wetland sediment. Positive samples were characterized through capture-enrichment sequencing (sediment) or viral isolation and next generation sequencing (birds).

Results: The rate of AIV detection was 18.4% (129/701) in sediment and 11.4% (66/580) hunted birds. The odds of detecting AIV in a sediment sample was positively associated with presence of nearby waterfowl feces (5.00, 95%CI: 1.91 – 11.00) and associated as a non-linear function with pH. The total number of HA and NA subtypes detected in sediment was greater than those detected in hunted birds (n HA subtypes = 13 in sediment vs 6 in birds; n NA subtypes = 9 in sediment vs 6 in birds). All subtypes detected in hunted birds were also detected in sediment.

Conclusions: The probability of detecting AIV in sediment can be maximized by considering waterfowl and abiotic factors during sample collection. Including environmental samples in AIV surveillance programs has potential to yield greater subtype diversity than from wild birds alone.

Keywords: AIV, surveillance, environment
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["a6e18364-9d10-4a4d-b5a9-4f87ce64492c","502f57ff-3ea6-475b-858d-340ec3e1c6e4","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Michelle Coombe","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"4a07a0e2-38cf-45a2-a148-4fbf481e5d8d","StartTimeString":"1:30 PM","EndTimeString":"3:00 PM","StartToEndTimeString":"1:30 PM - 3:00 PM","StartToEndTimeSortString":"1:30 PM - 3:00 PM","DisplayDetails":"Breakout Session 12.E - Epidemiologic Principles and Methods (Bias)","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"1:30 PM - 3:00 PM","StartTimeOverrideString":"1:30 PM","EndTimeOverrideString":"3:00 PM","StartToEndTimeOverrideString2":"1:30 PM - 3:00 PM","BaseStartDateTime":"2022-08-12T13:30:00+00:00","BaseEndDateTime":"2022-08-12T15:00:00+00:00","BaseStartDateTimeOverride":"2022-08-12T13:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T15:00:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T18:00:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T16:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T18:00:00.0000000+00:00"},{"Id":"98f70c95-99f4-473a-b5e1-27e4933be5c2","SessionBlockId":null,"Name":"Friday PM Bio Break │ Exhibits","IsSession":false,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"15:00:00","EndTime":"15:30:00","StartTimeOverride":"15:00:00","EndTimeOverride":"15:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Break Activity","BackgroundColor":"#333333","Location":null,"Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":false,"MergedSessionId":"98f70c95-99f4-473a-b5e1-27e4933be5c2","StartTimeString":"3:00 PM","EndTimeString":"3:30 PM","StartToEndTimeString":"3:00 PM - 3:30 PM","StartToEndTimeSortString":"3:00 PM - 3:30 PM","DisplayDetails":"Friday PM Bio Break │ Exhibits","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"3:00 PM - 3:30 PM","StartTimeOverrideString":"3:00 PM","EndTimeOverrideString":"3:30 PM","StartToEndTimeOverrideString2":"3:00 PM - 3:30 PM","BaseStartDateTime":"2022-08-12T15:00:00+00:00","BaseEndDateTime":"2022-08-12T15:30:00+00:00","BaseStartDateTimeOverride":"2022-08-12T15:00:00+00:00","BaseEndDateTimeOverride":"2022-08-12T15:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T18:00:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T18:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T18:00:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T18:30:00.0000000+00:00"},{"Id":"c4bcecfd-5953-4a5c-9d0c-254c3d6bae5f","SessionBlockId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","Name":"Breakout Session 13.A - Molecular Epidemiology","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 501","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Genomic recombination and the epidemiological emergence of novel PRRSV-2 variants: a genome-based phylodynamic approach","PresentationBio":null,"Title":"Dr.","FirstName":"Nakarin","LastName":"Pamornchainavakul","Position":"PhD candidate","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f6477de5b9bb4656bb12df21f5890bf1","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Recombination, an exchanging of genomic portions between viruses, has been reported in porcine reproductive and respiratory syndrome virus 2 (PRRSV-2), though its frequency and ramifications for the disease’s epidemiology remain unclear. In 2020-2021, a novel and virulent PRRSV-2 variant was responsible for PRRS outbreaks in the Midwestern U.S., bringing atypical losses across pig production systems. Initial whole genome sequence (WGS) analysis suggested that the variant’s genomic parts were derived from two different lineages that have co-circulated in the U.S. Such an example led us to two questions: 1) does recombination contribute to variant emergence? and 2) how frequently does inter-lineage recombination occur in the U.S.?
To answer these questions, we performed recombination detection on a set of WGSs including the recent outbreak variant (n = 19) and publicly available isolates collected in the U.S. over the past two decades (n = 232). Sequences were classified into lineages (L1A-H) according to their open reading frame 5 (ORF5) gene phylogeny. Four WGS fragments, divided according to recombination hotspots, were used to estimate the virus’s evolutionary history and ancestral inter-lineage recombination via Bayesian phylodynamics with discrete trait analysis (DTA).
Phylodynamic models confirmed that the novel variant was a recombinant virus with a L1C-like genomic backbone. The variant diverged in late 2018 to early 2019, acquiring a non-structural protein 2 coding region from L1A viruses through recombination. The closest relative was a virus collected in 2018 that had a different recombination history than the novel variant. However, DTA suggests that inter-lineage recombination events resulting in widespread transmission (i.e., those that leave detectable numbers of progeny) were relatively uncommon (< 0.5 events/year).
Co-circulation of distinct lineages likely increases the chances that recombination will occasionally result in novel variants that potentially harbor combinations of traits that increase their capabilities to infect and spread in host populations.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","df5d618c-3702-4d9c-95b6-0ad39c8b6184","40011888-980a-402c-868e-27ff2aacbc1b","7ad72e1b-a5f9-421e-92c3-1df731c30fd2","e3124ed4-dfad-4d18-9ba5-4e591a19fcc2","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Nakarin Pamornchainavakul","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Application Bayesian phylogeography and balanced sub-sampling for investigation of cross-regional spread and evolution of equine influenza H3N8 at US and global scales","PresentationBio":null,"Title":"Mr.","FirstName":"Kyuyoung","LastName":"Lee","Position":"Postdoctoral Researcher","Organization":"University of California","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0b9bebb331ae4fb2a68ba6550ace9de4","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective(s): The present study aimed to identify the cross-regional spread and molecular evolution of equine influenza virus (EIV) H3N8 at US and global scales using Bayesian phylogeography coupled with balanced subsampling.
Materials and methods: A total of 297 haemagglutinin (HA) genomes of EIV H3N8 were included in the study. Balanced subsampling of HA genome sequences was performed based on five global and four US regional horse population size. Bayesian phylogeographic analyses were performed to estimate raw global (n=297), subset global (n=67), raw US (n=100) and subset US (n=44) phylogeography. The study also estimated global and local selection pressure of the HA genome sequences composed of 508 amino acids.
Results: This study found multiple cross-regional EIV H3N8 spread at US and global scales and the antigenic drift in key antigenic sites of the HA gene. Globally dominant EIV variants were mostly emerged from the North American region and spread to other four global regions. US EIV strains generally spread from Southern or Midwestern regions to other regions. The HA gene of EIV H3N8 accumulated approximately three nucleotide substitutions per year under heterogenous local positive selection.
Conclusions: This study provides a better understanding of global and US spread and evolutionary characteristics of EIV H3N8 in order to perform cost-effective target intervention and surveillance and help to apply the genomic epidemiology to the US and global equine industry.
Key words: equine influenza; phylogeography; evolution; balanced subsampling; selection pressure","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e68d0ac5c042461cb0ed3f09bd204c54","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","a6e18364-9d10-4a4d-b5a9-4f87ce64492c","a40f7453-5dfa-4c22-bf36-4e487526f525","d56d78e6-05a3-4b3a-99ad-b8900abe5d94"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Kyuyoung Lee","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Transmission analysis of multiple spillovers of SARS-CoV-2 from humans to white-tailed deer","PresentationBio":null,"Title":"Dr.","FirstName":"Katriina","LastName":"Willgert","Position":"Phd Student","Organization":"University of Cambridge","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"The emergence of a novel pathogen in a susceptible population can result in rapid spread of infection within the population. High prevalence of SARS-CoV-2 infection in white-tailed deer has been reported in multiple locations, likely resulting from several human-to-deer transmission events followed by deer-to-deer transmission. Knowledge of the risk and direction of SARS-CoV-2 transmission between humans and potential reservoir hosts is essential for effective disease control and prioritisation of intervention measures. Using genomic data, we set out to reconstruct the transmission history of multiple spillovers of SARS-CoV-2 from human to deer to assess transmission within and between species.

Samples of retropharyngeal lymph nodes from white-tailed deer in Iowa, United States, were tested for presence of SARS-CoV-2 RNA. Whole-genome sequences of positive deer isolates and publicly available human SARS-CoV-2 sequences from Iowa were combined with epidemiological parameters to reconstruct the transmission history and infer who infected whom.

The results of the study indicated multiple spillover events from human to deer with likely onward transmission within deer populations. We found no evidence of direct transmission from deer to human. However, with an extremely low estimated case finding rate, the number of unsampled cases was high in both deer and human populations and spillback to humans cannot be ruled out.

The extensive transmission of SARS-CoV-2 in deer populations and the large number of unsampled cases highlights the need for increased surveillance at the human-animal interface. Without active surveillance in susceptible wildlife populations, the virus could circulate and evolve undetected for extended periods of time. Extant disease surveillance programmes in deer could be extended to monitor SARS-CoV-2. However, for reliable inference of transmission events at the human-animal interface, surveillance in wildlife needs to be complemented by identification of human cases and data being shared between relevant stakeholders.

Keywords: SARS-CoV-2, white-tailed deer, transmission analysis
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["8fc4d524-a96c-44ab-af7e-21be4a6db35f","7f76020c-d489-4456-9d83-b398a3eb966f","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1","76c84259-9a28-4ba9-a370-db4b00031911"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Katriina Willgert","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Genomic epidemiology, virulence and antimicrobial resistance of the multi-host pathogen Streptococcus canis","PresentationBio":null,"Title":"Mr.","FirstName":"Davide","LastName":"Pagnossin","Position":"","Organization":"University of Glasgow","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e1efe1143a4343b0bc875a7c782d65aa","IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Streptococcus canis, a multi-host pathogen commonly isolated from dogs and cats, has been occasionally reported in severe cases of human infection. To address the gap in knowledge on antimicrobial resistance (AMR), virulence mechanisms and host tropism, we investigated, for the first time, S. canis genomic epidemiology.

We analysed 59 S. canis whole genome sequences (WGS) from multiple hosts, including 39 isolates from the UK and all publicly available genomes (n=20). AMR was determined for the available isolates and genetic AMR determinants were detected in most genomes. Homologs of known virulence genes were identified. A core single nucleotide polymorphism (SNP) phylogeny was generated to compare strain clustering according to two genotyping schemes, MLST and S. canis M-like protein (SCM) typing. Signs of host adaptation were investigated using phylogenetic analysis, accessory genome clustering and pan-genome wide association analysis.

A total of 23% (9/39) isolates expressed phenotypic resistance to tetracyclines and/or lincosamides and macrolides. This was complemented by the identification of AMR encoding genes tetO (15%, 8/55), tetM (7%, 4/55) and ermB (7%, 4/55). Phenotypic AMR was more common in human (36%, 4/11) compared to pet (18%, 5/28) isolates. Across all genomes, we identified 19 virulence gene homologs, most of which are also present in Streptococcus pyogenes. MLST and SCM genotyping failed to represent the core SNP-based genomic diversity of S. canis. Host adaptation was not detected.

In conclusion, first line antimicrobials are still a suitable option for the treatment of S. canis infections. Virulence mechanisms of S. canis share similarity with those of S. pyogenes. Both MLST and SCM genotyping lack sufficient resolution for fine typing such as outbreak scenarios. S. canis inter-species transmission, including zoonotic transfer, is strongly supported by the lack of genomic signs of host adaptation.


Keywords: Streptococcus canis, AMR, virulence, epidemiology, zoonosis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["0c879798-e821-4cff-bf7e-791d4b78ec7f","c0c76c20-a7ea-4e61-af24-1ffb79f9f561","ba10b72c-bfaa-4a06-a89b-8bd64a64edd1"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Davide Pagnossin","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 13.A - Molecular Epidemiology","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-12T15:30:00+00:00","BaseEndDateTime":"2022-08-12T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-12T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T19:30:00.0000000+00:00"},{"Id":"7082b1df-8fb3-4669-8939-cc0d9df1a51e","SessionBlockId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","Name":"Breakout Session 13.B - Complex Systems Approach","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 502","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"FMD Ready: Using Agricultural Innovations Systems to improve Australia’s preparedness for emergency animal disease incursions","PresentationBio":null,"Title":"Dr.","FirstName":"Jennifer","LastName":"Manyweathers","Position":"Senior Lecturer In Epidemiology And Ruminant Health","Organization":"Charles Sturt University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6b69e1117b3d44e588437d71e2b5d9ff","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Agricultural Innovations Systems, FMD, Australian livestock, disease surveillance

Objectives
Traditional approaches to animal disease surveillance typically follow linear research-extension-adoption models and have limited success in addressing complex issues involving multiple stakeholders with conflicting priorities. By promoting mutual trust and including multiple sources of knowledge and experience, the Agricultural Innovation Systems (AIS) framework has potential to transform animal disease surveillance systems and interactions with livestock industry stakeholders. A four-year AIS pilot in Australia aimed at enhancing preparedness for a foot and mouth disease (FMD) outbreak, with innovation arising from research, on-farm expertise and knowledge, and stakeholder relationship building.

Materials and Methods
The project used an AIS framework to reverse the traditional top-down, information deficit model approach and improve disease surveillance and create a model for transforming how knowledge is co-created, valued and shared. Nationwide, five pilot groups, working with FMD susceptible livestock industries (beef cattle, dairy cattle, sheep, pigs and goats) were established. The groups developed and tested solutions to locally identified surveillance system problems.

Results
The five pilot groups met a combined total of 37 times over four years and included 65 stakeholders. Changes in biosecurity practice, attitudes and the strengthening of networks and relationships were captured in base/end line surveys and interviews. The importance of investing in relationships and networks, the benefits that come from integrating multi-stakeholder perspectives, and using a partnership approach to biosecurity and surveillance were highlighted as significant achievements.

Conclusion
This project has illustrated that strong, trusting relationships and shared knowledge and solution creation will contribute to strengthening surveillance systems and an enhanced response to animal disease outbreaks. By bringing together locally relevant expertise and knowledge, the project made considerable contribution towards tackling complex issues around animal disease monitoring and reporting and highlighted the significant role of building relationships in effective animal disease surveillance systems.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["1431029c-0cdf-4ff9-912e-8fee50ef8438","9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Jennifer Manyweathers","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Understanding Knowledge, Attitudes and Practices regarding Dog bites in Indigenous Northern Communities: A Mixed-Methods Study","PresentationBio":null,"Title":"Miss","FirstName":"Laurence","LastName":"Daigle","Position":"","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Context: The singular relationship developed over the years between northern Indigenous peoples and dogs has been profoundly changed through historical trauma, settlement and democratization of snowmobiling. Issues related to dogs have become increasingly complex and worrisome with the endemic presence of rabies virus among arctic fox populations and given that northern Indigenous people may have a higher risk of dog bites than the rest of the population.

Objective: This study aims to characterize and quantify factors that have an impact on dog bites in the context of Naskapi and Innu communities located in northern Quebec (Canada).

Methods: A mixed-methods study design that combined an explanatory observational cross-sectional survey and individual interviews was used in the Naskapi and in an Innu communities in Northern Quebec. The survey collected data on knowledge, attitudes and practices regarding dogs and dog bites amongst 122 inhabitants. Individual interviews (n=37) were then conducted with three groups of inhabitants: victims of dog bites, owners of dogs that have bitten a person before, and health professionals.

Results: Results highlighted that 21% of respondents have had a dog bite in their lifetime. A majority of respondents did not know whether they were at risk of contracting rabies or not. The odds of being more knowledgeable of rabies were higher (OR = 1.073, 95% CI = 1.071-7.979) among young adults. Interviews have showed that people consider the children more at risk of being bitten, and revealed the need for more veterinary services and educational programs about dogs not only for children, but also for adults.

Conclusion: This study provides important knowledge key to prioritize measures to reduce public health risks of dogs in northern Quebec. More broadly, it provides essential knowledge for the development of interventions adapted to the particularities of northern Indigenous communities.

Dog bites, epidemiology, Indigenous, northern community","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["40778fbd-2c10-4cf0-bb5d-48c60b3f57f9","9f2295d7-194f-44de-9cea-8eb77d958e64","8fc4d524-a96c-44ab-af7e-21be4a6db35f"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Laurence Daigle","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The epidemiology of interactions between snakes and their anthropogenic environment","PresentationBio":null,"Title":"Mrs.","FirstName":"Constanza","LastName":"Fellenberg","Position":"","Organization":"The University of Queensland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objective: Our aim was to identify anthropogenic pressures and ecological factors that influence the spatial-temporal characteristics of snake abundance and snake envenomation of pets and humans in Australia.

2. Materials and methods: Four datasets were used to describe the epidemiology of interactions between snakes and the anthropogenic environment in which they live. The first comprised details of submissions of injured snakes to wildlife hospitals (~20,000 records), while a second comprised veterinary medical records of snake envenomation in small animals (~50,000 records). In addition, de-identified records of snake envenomation in humans where used, while the fourth dataset was compiled through interviews with snake catchers. Regression and time series analysis was used to describe the frequency of snake envenomation and ecological factors that influence spatial and temporal patterns of snake abundance and snake envenomation.

3. Results: We identified strong spatial and temporal patterns for both snake envenomation events and snake abundance. Interactions between snakes, pets and humans (as reflected by the date and location of snake envenomation events) were associated with vegetation cover, population density and distance to populated areas. The strength of these associations was sufficient to provide the general public with information about snake bite risk periods and snake bite risk locations.

4. Conclusion: Based on the results of this project, risk maps can be developed to quantify the risk of snake envenomation in humans. These maps will inform the development of a surveillance system to alert humans of the risk of snake envenomation in high-risk areas.
Keywords: snake, envenomation, spatial-temporal, one-health, Australia
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["9f2295d7-194f-44de-9cea-8eb77d958e64"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mrs. Constanza Fellenberg","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 13.B - Complex Systems Approach","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-12T15:30:00+00:00","BaseEndDateTime":"2022-08-12T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-12T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T19:30:00.0000000+00:00"},{"Id":"4c742a26-db6c-4465-98ff-d5984b272607","SessionBlockId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","Name":"Breakout Session 13.D - Epidemiologic studies in specific species (Companion animals)","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 506+507","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Spatial distribution and cluster detection of dog zoonotic endoparasites in public parks from Gran Santiago, Chile","PresentationBio":null,"Title":"Dr.","FirstName":"Galia","LastName":"Ramírez-Toloza","Position":"Assistant Professor","Organization":"Universidad de Chile","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/38157481f8e24a8b988dba6e21619797","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: The aim of this study was to characterize the presence and spatial distribution of zoonotic-endoparasites in dog faeces from the main urban parks of Gran Santiago

Material and methods: A total of 468 stool samples were collected from 26 urban parks from Gran Santiago and analyzed by modified Telemann method and Ziehl-Neelsen stain. Choropleth maps were generated to describe parasite spatial distribution. Spatial autocorrelation (SA) was estimated using the Moran’s I index of the Local Indicators of Spatial Association (LISA), and Local clustering of cases assessed by means of the Bernoulli model of the spatial scan statistic, considering a purely spatial cluster analysis for each detected parasite specie, registering cluster composition, location, relative risk, and significance (p < 0.05). Seasonality was assessed by differences between prevalence.

Results: Endoparasites were identified in 145 samples (30.98%). Helminth eggs: T. canis (45/468, 9.62%), T. leonina (15/468, 3.21%), Ancylostomatidae-like eggs (8/468, 1.71%), Taenia spp. (12/468, 2.56%), D. caninum (4/468, 0.85%). Protozoa: cysts of Giardia sp. (57/468 samples, 12.18%) and Cryptosporidium spp. oocysts (29/468, 6.20%). Positive SA was observed for Cestode-like eggs (p = 0.028; Moran’s I = 0.273), Giardia sp. (p = 0.023; Moran’s I = 0.030) and Cryptosporidium spp. (p = 0.003; Moran’s I = 0.373) and negative SA for Dipylidium caninum (p = 0.006; Moran’s I = -0.173). Two statistically significant spatial cluster were detected, one for Giardia sp. (Population = 35; Nº of cases = 11; RR = 2.96; p = 0.049) and one for Cryptosporidium spp. (Population = 24; Nº of cases = 24; RR = 6.6; p = 0.0044). No statistically significant difference (p > 0.05) was observed for seasonality.

Conclusion: There is a wide distribution of resistance parasitic elements with zoonotic potential in urban parks of Gran Santiago hot-spot of human-animal urban contact.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["d56d78e6-05a3-4b3a-99ad-b8900abe5d94","1431029c-0cdf-4ff9-912e-8fee50ef8438","8fc4d524-a96c-44ab-af7e-21be4a6db35f","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Galia Ramírez-Toloza","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Risk Factors for Acute Adverse Events in Dogs Following Vaccination and/or Injectable Heartworm Preventive","PresentationBio":null,"Title":"Dr.","FirstName":"Emi","LastName":"Saito","Position":"Senior Manager, Patient Outcome Improvement","Organization":"Banfield Pet Hospital","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6af99a11ba2e48dba781d1306bce0ee7","IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"1. Objectives: Determine incidence rates and potential demographic risk factors for adverse events (AEs) recorded within 3 days of vaccines or injectable heartworm preventive administration in dogs.

2. Materials and methods: Electronic medical records from 2016-2020 were used in a retrospective cohort study identifying all dogs receiving vaccinations and/or injectable heartworm preventive at Banfield Pet Hospitals. Records were assessed for potential AEs occurring within 3 days following preventive care measures. Incidence rates for AEs per 10,000 dog-visits were calculated, and associations for potential risk factors were assessed by logistic regression.

3: Results: There were 4,954,565 dogs vaccinated/treated at 21,103,149 office visits in the 5-year period. The overall documented AE rate was 0.001845 (0.1845%, or 18.45 AE/10,000 dog-visits), or < 1 AE per 500 dog-visits. Breed, younger ages, smaller body weights, and increasing the number of injections at a visit were significantly associated with greater AE rates. AE rates were greatest in dogs <5kg (25.28 AE/ 10,000 dog-visits) and declined to 9.65 AE/10,000 dog-visits in dogs >45kg. AE rates for DAPP, leptospirosis, rabies, or Borrelia vaccines administered alone were similar (19.22-21.31 AE/10,000) but slightly greater than for individual administration of Bordetella vaccine or ProHeart® 6 injection (10.40 and 13.48 AE/10,000, respectively).

4. Conclusion: AE rates were low overall, attesting to the general safety of canine preventive measures against infectious diseases. Genomic investigation in breeds with higher AE rates may produce insights into increased risk.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["fd99ecbf-8a4c-4d96-aaf6-a65c9f7d09a7","cb344d68-5710-46be-a916-dd122f96ab66","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Emi Saito","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Descriptive epidemiology of canine and feline cancer in California, United States from 2000 to 2019","PresentationBio":null,"Title":"Dr.","FirstName":"Ruwini","LastName":"Rupasinghe","Position":"","Organization":"University of California","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Cancer is a leading cause of disease and death in middle to old-aged dogs and cats. Our objective was to document the epidemiological characteristics of major cancer types in a defined dog and cat population in California.

We assessed nine major cancer types, utilizing a subset of hospital records from the UC Davis Veterinary Medical Teaching Hospital from 2000 to 2019. Sarcoma, carcinoma, lymphoid neoplasia (LN), mast cell tumor (MCT), and melanoma were statistically evaluated by multivariable logistic regression with a p-value ≤ 0.05 considered statistically significant.

Our dataset contained 150,063 total patients (79.9% dogs and 20.1% cats) with 26,883 patients diagnosed with cancer, representing 18.1% and 17.0% of the total dog and cat hospital populations, respectively. Cancer incidences were highest in neutered and old animals but, the incidence was similar across breeds (purebred and mixed-breed) and genders in both species. LNs (34.1% versus 14.6%) and carcinomas (30.4% versus 20.7%) were more common in cats compared to dogs, while sarcomas were less common in cats (42.2%) than dogs (61.6%). Older age in both species and being spayed/neutered in dogs (except carcinomas) were important risk factors for any cancer. Furthermore, being male increased odds for sarcomas (OR=1.69;95%CI=1.44,1.98) and LNs (OR=1.59;95%CI=1.27,1.99) development in dogs. Mixed-breed cats were more likely to develop MCT (OR=2.04;95%CI=1.14,3.67). Odds ratios between spayed/neutered and intact dogs were higher in females than males with sarcomas (OR=1.38;95%CI=1.25,1.54 versus OR=1.10;95%CI=1.02,1.17), LNs (OR=1.43;95%CI=1.17,1.75 versus OR=1.04;95%CI=0.91,1.18), and MCT (OR=1.92;95%CI=1.46,2.54 versus OR=1.22;95%CI=1,1.48). However, male dogs were more likely to develop sarcomas (OR=1.69;95%CI=1.44,1.98) and LNs (OR=1.59;95%CI=1.27,1.99) if intact.

Our study contributed valuable insights into cancer distribution in cats and dogs in California. The data was limited to a single veterinary hospital; thus, a cancer registry would provide a more comprehensive picture of cancer epidemiology in dogs and cats.

Keywords: cancer incidence, logistic regression, dogs, cats","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","df5d618c-3702-4d9c-95b6-0ad39c8b6184","33998207-8c57-4717-9114-ccf9182e92bf","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Dr. Ruwini Rupasinghe","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The impact of state cannabis legislation, county-level socioeconomic and dog-level characteristics on reported cannabis poisonings of companion dogs in the USA (2009–2014)","PresentationBio":null,"Title":"Mr.","FirstName":"Mohammad","LastName":"Howard-Azzeh","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":4,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Introduction: With current trends in cannabis legalization, large efforts are being made to understand the effects of less restricted legislation on human consumption, health, and abuse of these products. Little is known about the effects of cannabis legalization and increased cannabis use on vulnerable populations, such as dogs.

Objective: This study aimed to examine the effects of state-level cannabis legislation, county-level socioeconomic factors, and dog-level characteristics on dog cannabis poisoning reports to an animal poison control center (APCC).

Methods: Data were obtained concerning reports of dog poisoning events, county characteristics, and state cannabis legislation from the American Society for the Prevention of Cruelty to Animals’ APCC, the US Census Bureau, and various public policy-oriented and government websites, respectively. A multilevel logistic regression model with random intercepts for county and state was fitted to investigate the associations between the odds of a call to the APCC being related to a dog being poisoned by a cannabis product and the following types of variables: dog characteristics, county-level socioeconomic characteristics, and the type of state-level cannabis legislation.

Results: There were significantly higher odds of a call being related to cannabis in states with lower penalties for cannabis use and possession. The odds of these calls were higher in counties with higher income variability, higher percentage of urban population, and among smaller, male, and intact dogs. These calls increased throughout the study period (2009–2014). Reporting of cannabis poisonings were more likely to come from veterinarians than dog owners. Reported dog poisonings due to cannabis appear to be influenced by dog-level and community-level factors.

Conclusion: This study may increase awareness to the public, public health, and veterinary communities of the effects of recreational drug use on dog populations. This study highlights the need to educate dog owners about safeguarding cannabis products from vulnerable populations.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","1431029c-0cdf-4ff9-912e-8fee50ef8438","cb344d68-5710-46be-a916-dd122f96ab66","c0c76c20-a7ea-4e61-af24-1ffb79f9f561"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Mohammad Howard-Azzeh","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 13.D - Epidemiologic studies in specific species (Companion animals)","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-12T15:30:00+00:00","BaseEndDateTime":"2022-08-12T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-12T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T19:30:00.0000000+00:00"},{"Id":"5ecb13dc-cd09-43c3-84ba-e86914a52825","SessionBlockId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","Name":"Breakout Session 13.E - Epidemiologic Principles and Methods (Statistical analysis)","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":null,"Overview":null,"Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#FFFFFF","AgendaTypeName":"Session","BackgroundColor":"#00708C","Location":"Halifax Convention Centre │Room 612+613","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"How many more times: Another contribution to the Statistical Significance debate with an example from spatial epidemiology","PresentationBio":null,"Title":"Mr.","FirstName":"Olaf","LastName":"Berke","Position":"Professor","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/57106453836c4b508a7f57b93071c960","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Keywords: Statistical epidemiology, p-value, reproducibility, spatial scan test, dog bites

1. Objective(s)
For decades the concepts of statistical hypothesis testing and the p-value have been critically discussed. The reproducibility crisis has put a new spotlight on the meaning of statistical significance and p-values in epidemiological research. The goal of this presentation is to clarify some relevant concepts, identify misconceptions, and advocate for a more reflective use of p-values and propose confidence intervals as an alternative. An example will focus on spatial cluster detection.

2. Materials and methods
The history of statistical hypothesis testing is briefly traced back. The principles of statistical significance testing as part of study design are revisited and contrasted with typical arguments against their use in practise. With reference to scientific inference (inductive versus deductive) different types of test situations will be identified. The circular spatial scan test was applied to incidence of dog bites in 75 regions of Nepal.

3. Results
Misuse of the statistical test concept led to criticism of statistics, epidemiology and the entire scientific enterprise. There is a distinction between exploratory and confirmatory statistical tests. Exploratory testing is less meaningful. While spatial dog bite clusters were identified as significant, their relevance remains questionable. Confidence intervals for the incidence risk ratio provided a useful alternative to p-values.

4. Conclusion
Tests provide an answer to a single decision problem in designed studies. Scientific progress is based on replication and triangulation and is a process. Tests contribute to this process but can not alone answer the fundamental question of cause-effect relations in epidemiology. Disease cluster detection is a spatial epidemiological study goal in its own right, but its use is restricted and should be more reflected upon.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","a424daba-5d1a-4f4a-9bf5-d16c5f51514c"],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Olaf Berke","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Comparison of the univariate and bivariate meta‐analyses for evaluating the teat sealant efficacy on the incidence and prevalence of intramammary infections ","PresentationBio":null,"Title":"Mr.","FirstName":"Mohamed","LastName":"Afifi","Position":"","Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Bivariate meta‐analysis (BMA) jointly synthesizes treatment effects for two correlated outcomes, borrowing strength across them to yield more precise estimates. This study aimed to assess the impact of applying BMA, compared to the univariate meta-analysis, to the incidence and prevalence of intramammary infections (IMIs) post-calving in a systematic review (SR) addressing the efficacy of adding a teat sealant to antimicrobial treatments in dairy cows at dry-off.
Methods: The structural relationship between each study's prevalence and incidence, as the new (incidence) and persistent (non-cure) infections are making up the prevalence, allowed for approximating a variance-covariance matrix that models the correlations between the two outcomes both within and across studies. Random-effects univariate and bivariate meta-analyses were fitted to the extracted log odds ratios (LORs) for treatment versus control groups. Estimates and their precisions were empirically compared and a borrowing of strength (BoS) statistic was computed to quantify the gained indirect evidence using the BMA.
Results: A total of 17 trials providing either one (n=6) or both (n=11) of the outcomes were identified. For the overall IMI incidence, average LORs (95%CI) obtained from the bivariate and univariate models were -0.36 (-0.53, -0.19) and -0.39 (-0.57, -0.20), respectively, and the corresponding estimates for E. coli were -0.48 (-0.76, -0.20) and -0.5 (-0.82, -0.18), respectively. A BoS of 24-25% indicated that about a quarter the studies’ contributions to incidence estimates were gained from studies reporting prevalence outcome.
Conclusion: We demonstrated the BMA methods using data from an ongoing SR. Our results illustrated that BMA can give similar estimates but with narrower confidence intervals than the univariate counterparts. This can be explained with the additional indirect evidence gained by utilising the strong within-study and between-study correlations. However, if discrepancies between the two models occur, further investigations are needed.

Keywords: Bivariate meta-analysis, Intra-mammary infection, Incidence, Prevalence","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["7ad72e1b-a5f9-421e-92c3-1df731c30fd2","33998207-8c57-4717-9114-ccf9182e92bf"],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Mr. Mohamed Afifi","TimeDisplay":null},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Developing a Bayesian model for the prevalence of antimicrobial resistance in the farm environment","PresentationBio":null,"Title":"Ms.","FirstName":"Lucy","LastName":"Vass","Position":"Phd Student","Organization":"University of Bristol","PhotoUrl":null,"IsPresentingAuthor":false,"Order":3,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives
Sampling the farm environment is a time- and cost-effective method of assessing the prevalence of phenotypic profiles of antimicrobial resistance (AMR) in livestock. Currently data are binarized for analysis into resistant/not resistant samples and modelled using logistic regression. This approach, however, doesn’t account for the varying limit of detection across samples with differing bacterial abundances and is poor at identifying risk factors. We developed an approach that models varying uncertainties and gives less biased estimates of variables in comparison to logistic regression.

Materials and methods
Environmental samples from 52 dairy farms were cultured for E. coli; the number of AMR colonies and bacterial abundance in each sample was measured using colony counting. A Bayesian model based on a generalised linear model with Poisson likelihood and a log-link was developed in RStan and sampled using MCMC. Estimates for the pairs of colony counts from each sample were combined and an inverse-logit transform was applied to give an estimate of the proportion of AMR isolates. The model was validated using posterior predictive checking and compared to a logistic regression model using synthetically generated data.

Results
The proposed Bayesian model produced a robust estimate of the proportion of AMR in each sample with uncertainty scaling appropriately with bacterial abundance. When applied to synthetically generated data, this model had the power to resolve effect sizes up to 50 times smaller than those resolved by logistic regression. Additionally, the variables effect size was less biased by the addition of variables that were correlated with both AMR and bacterial abundance.

Conclusion
The proposed Bayesian model is a more powerful and less biased approach to risk factors for AMR in heterogeneous environmental samples. Additionally, as this approach uses standard modelling tools, the model can be easily adapted to a range of applications in veterinary epidemiology.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":null,"EndTime":null,"KeywordIds":["33998207-8c57-4717-9114-ccf9182e92bf","c54f9b9d-8dfb-410e-9187-f32dd54c71fc"],"SocialMedia":{"_twitterHandle":"lucyjvass","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"lucyjvass","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=lucyjvass","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=lucyjvass","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[],"DisplayName":"Ms. Lucy Vass","TimeDisplay":null}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"Breakout Session 13.E - Epidemiologic Principles and Methods (Statistical analysis)","DateString":"Friday, August 12, 2022","ShortDateString":"Fri Aug 12, 2022","StartToEndTimeString2":"3:30 PM - 4:30 PM","StartTimeOverrideString":"3:30 PM","EndTimeOverrideString":"4:30 PM","StartToEndTimeOverrideString2":"3:30 PM - 4:30 PM","BaseStartDateTime":"2022-08-12T15:30:00+00:00","BaseEndDateTime":"2022-08-12T16:30:00+00:00","BaseStartDateTimeOverride":"2022-08-12T15:30:00+00:00","BaseEndDateTimeOverride":"2022-08-12T16:30:00+00:00","Offset":"-03:00:00","StartDateTimeUtc":"2022-08-12T18:30:00.0000000+00:00","EndDateTimeUtc":"2022-08-12T19:30:00.0000000+00:00","StartDateTimeOverrideUtc":"2022-08-12T18:30:00.0000000+00:00","EndDateTimeOverrideUtc":"2022-08-12T19:30:00.0000000+00:00"},{"Id":"53d14c51-98b9-4e1e-86cb-ea478421e8a6","SessionBlockId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","Name":"13_Special Session Part 2: Randomized control trials and the reality of impact evaluations","IsSession":true,"ShowTimes":true,"Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","StartTimeOverride":"15:30:00","EndTimeOverride":"16:30:00","Details":"Many promising interventions have been rolled out without rigorous evaluation and many have failed to deliver expected impacts. As a result, interest has grown in rigorous evaluation of interventions. Randomized control trials offer the highest level of scientific evidence and are the only study type that provide unquestionable evidence of causality. RCTs are the gold standard in the pharmaceutical industry to provide evidence on the effect of a new drug or product. RCT are also a common study design in the medical field to test the effect and efficacy of health treatments or public health interventions. Their use in the veterinary public health and economics fields is growing rapidly; however, their practical application in low- and middle-income countries presents some challenges. The session has two parts:

\r\n\r\nA)\tDesign of RCTs. This will discuss key principles underpinning the design of RCTs and examples of their use in evaluations of relevance in veterinary epidemiology and economics.
\r\nB)\tRCTs in action. This will describe challenges, successes, and disappointments in the use of RCTs to assess food safety interventions in LMICs, an emerging area of investigation.

\r\n\r\nThe session will present and discuss a wide range of case studies, from station-based trials to field trials of complex interventions, engaging the audience in a conversation around design and compliance, as well as the wider aspects of evidence generation and use.

\r\n\r\n15:30 - 15:40 RCT Case 4
\r\n15:40 - 15:50 RCT Case 5
\r\n15:50 - 16:00 RCT Case 6
\r\n16:00 - 16:20 Q&A / Discussion
\r\n16:20 - 16:30 Final Remarks\r\n","Overview":"Chairs: Silvia Alonso & Delia Grace Randolph","Bold":false,"Tracks":[1],"SessionName":null,"TextColor":"#000000","AgendaTypeName":"Session","BackgroundColor":"#7FCFE7","Location":"Halifax Convention Centre │Ballroom B2","Track":1,"SpanToTrack":null,"AdditionalTracks":[],"Speakers":[{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"The first large scale RCT in Cambodia animal sourced food systems: rationale and process","PresentationBio":"Fred Unger is a veterinarian for more than two decades of working experience in veterinary epidemiology and veterinary public health gained predominantly in developing/emerging countries of Africa and Southeast Asia (SEA). After graduation in veterinary medicine at the Humboldt University Berlin he joined a Postgraduate Seminar for Tropical Veterinary Medicine and Animal Health Management at the Freie Universität Berlin (FUB). He continued with his Doctoral degree/PhD which he received in March 2000 (FUB) doing research on tick borne diseases in dairy cattle in Uganda. From 2000 to 2005 he led the Consumer Safety and Public Health Unit at the International Trypanotolerance Centre (The Gambia). This was followed by a post doc position at the Institute for Epidemiology (Friedrich Loeffler Institute) in Germany being responsible for animal disease monitoring and outbreak response related to avian influenza and hog cholera. Since 2007 he works as a senior scientist for the International Livestock Research Institute (ILRI Thailand and Vietnam). Recent work in SEA focuses on risk assessments and management along traditional livestock value chains (Food borne diseases, AMR) and mentoring on One Health approaches. Since October 2020 Fred holds the position of the Regional Representative for East and SE Asia of ILRI in Hanoi. ","Title":"Mr.","FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/74bccc4b9d3746a7a87827e3adb83e18","IsPresentingAuthor":false,"Order":1,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objectives: The aim of the abstract is to share rationale, processes, experiences including challenges made during the implementation of a RCT to improve food safety in traditional pork retail in Cambodia.
Material and methods:
The RCT was part of an operational research conducted under the framework of the Safe Food Fair Food Cambodia Project implemented by the International Livestock Research Institute in partnership with Cambodian and international partners. It is considered as the first large scale RCT in Cambodia animal sourced food systems. The RCT was implemented across six provinces, each province two control and treatment markets and up to fifteen retailers per selected market.
Results:
The RCT was designed over a period of approximately six months. This included an in-depth participatory diagnostic with national partners on feasible intervention, selection of provinces and markets, required training and staff needed. In consecutive steps training materials were designed, low-cost equipment agreed and procured (value 25-30 USD). Implementers at provincial level included market managers and local veterinary services. In each of the six province 6-8 local staff was identified consisting of market manager and vets in addition to members of the research team. The RCT was conducted over a period of 6 weeks, this included training, observations of hygienic practice and use of hygienic indicators. Challenges included variations of markets in terms infrastructure, limited information of operating retailers per market and some delayed analysis of RCT results.
Conclusions:
Important for the success of the RCT (significant hygienic improvements) was the profound preparation (participatory diagnostic) and dedicated support of local authorities prior and throughout the trail. Intervention packages were taken up by national authorities in form of modified guidelines.
Keywords: RCT, informal markets, foodborne disease, intervention
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"15:30:00","EndTime":"15:40:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":"","_facebookUrl":"[email protected]","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"[email protected]","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"http://[email protected]","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://[email protected]","Font":"fab fa-facebook-square","Color":"#3b5998"}],"Bio":null,"Presentations":[],"DisplayName":"Mr. Fred Unger","TimeDisplay":"3:30 PM - 3:40 PM"},{"ContactId":"00000000-0000-0000-0000-000000000000","PresenationTitle":"Pull-Push: Market and consumer interventions to improve food safety in Ethiopia and Burkina Faso","PresentationBio":"Theo specialised in veterinary epidemiology and public health working in Europe, Africa and Central Asia in government, international animal health and research. He now works as Principal Scientist for the International Livestock Research Institute (ILRI) working mostly in East Africa where he leads their work on Herd Health. He also leads research projects on food safety and One Health. His areas of interest are epidemiology, economics and policy for Transboundary Animal Diseases and zoonoses.

","Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Organization":"Ilri","PhotoUrl":null,"IsPresentingAuthor":false,"Order":2,"Documents":[{"PresentationId":"00000000-0000-0000-0000-000000000000","Html":null,"PlainText":"Objective: Working in informal food markets in Africa we test if consumer demand for safe food can be generated and utilised to drive improved standards of hygiene and safety up the value chain.
Materials and methods: Following food safety value chain assessments and KAP surveys, large consumer awareness campaigns were launched in Ouagadougou, Burkina Faso (chicken) and Harar, and Dire Dawa, Ethiopia (tomato). These multimedia campaigns are implemented by commercial advertising/communication agencies, and comprise TV and radio adverts, door-to-door household visits and social media, including using social influencers to promote food safety messages. The messages focus on purchasing quality, hygienic foods and following basic food safety rules.
Baseline consumer surveys were conducted to assess consumer consideration of food safety when making food purchases. This will be compared to endline surveys to be conducted in 2023.
This work is performed within the Pull-Push project.
Results: Hygiene standards in the target food value chains have major weaknesses. Before the campaign consumer consideration of food safety was variable in Ethiopia and Burkina Faso, with greater concern in high income groups. There was a disproportionate concern about chemical hazards in vegetables and to a lesser extent chicken. Results of the communications campaign’s impact on food choice will be available in 2023.
Conclusion: Although foodborne disease exerts a massive health and economic burden on developing countries, there is a lack of application of food safety standards. Furthermore, consumers continue to source food from outlets with poor hygiene. If a communications campaign can influence consumers so they purchase safer foods, forcing suppliers to improve standards, this will provide a way of improving food safety in the informal sector where most people in Sub-Saharan Africa source their food, and where efforts to improve food safety have so far had limited impact.
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In Kenya, like most developing countries, majority rely on informal milk markets to meet their dairy needs. In those markets, there are food safety concerns that elicit interventions ranging from policy change to research, aimed at improving the food safety in the value chain. Moremilk project employs cRCT study design to estimate the impact of an intervention on improving food safety on informal dairy markets and promoting increased dairy intake by children.
Methods
Moremilk intervention is a two-arm cluster-randomized control trial. Study clusters were randomly assigned to: Treatment arm (Training, certification, and marketing scheme for vendors); Control arm: Delayed intervention. A baseline survey was conducted and an endline survey will be done for each arm after 12 months targeting same vendors and households. The unit of randomization is a cluster of 1-4 vendors and the households consuming milk from those vendors. The study aims at measuring the effect of the intervention on two primary outcomes: microbiological quality of milk sold by vendors, measured as total bacterial counts (TBC) per mL of milk, and mean dietary adequacy of protein, Ca, and vitamin B12. The vendor surveys include questionnaire modules on operations, milk handling practices, and business performance. The household surveys assess milk and food expenditure, milk handling and consumption practices, and a 24hr dietary recall for an index child.
Impact
A nutrition-sensitive approach to a market-based intervention could potentially increase the consumption of safe, nutritious foods leading to better health outcomes for children. Moremilk intervention is envisaged to reduce TBC in the milk of the vendors offered the intervention compared to a control group. It also envisages increasing the mean adequacy of three micronutrients (calcium, protein and vitamin B12) in the households buying milk from a vendor offered the intervention compared to households buying milk from control group vendors.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"CoAuthors":[],"StartTime":"15:50:00","EndTime":"16:00:00","KeywordIds":[],"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[],"DisplayName":"Miss Silvia Alonso","TimeDisplay":"3:50 PM - 4:00 PM"}],"Chairpersons":[],"Sponsors":[],"TrackHeadings":[{"Id":"1030db19-d7bc-44d6-95c6-f833913ed738","EventId":"80f56243-76ba-45d4-8f70-d23174bd5a91","Name":"Session","UniqueCode":null,"Date":"2022-08-12T00:00:00+00:00","Track":1,"Bold":false,"TextColor":"#FFFFFF","BackgroundColor":"#FFFFFF"}],"Keywords":[],"TimeZoneId":"Atlantic Standard Time","HasExtraDetails":true,"MergedSessionId":"05c507ca-34bd-435a-a381-7c1cb18f4e7e","StartTimeString":"3:30 PM","EndTimeString":"4:30 PM","StartToEndTimeString":"3:30 PM - 4:30 PM","StartToEndTimeSortString":"3:30 PM - 4:30 PM","DisplayDetails":"13_Special Session Part 2: Randomized control trials and the reality of impact evaluations
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Commingled dairy calves undergo different health problems which lead to a high antimicrobial treatment rate specially in calves with inadequate transfer of passive immunity (ITPI). The aim was to describe, in multi-source commingled dairy calves raised for veal or other purposes, the association between ITPI and important health outcomes, including mortality, bovine respiratory disease complex (BRD), and diarrhea.

2.Materials and methods:
We searched CAB abstracts, PubMed, and Web of Science for observational studies and randomized trials exploring the associations between ITPI and any of the selected outcomes. The definition of ITPI, diseases as well as specific descriptive characteristics of the studies were recorded. Random effect meta-analyses were used to summarize associations.

3.Results:
Nineteen studies were selected from 6,221 abstracts. Multiple definitions for transfer of passive immunity, and outcomes were reported. The production systems were limited to described. We observed higher odds for mortality in calves with ITPI compared with those with successful immunity transfer (OR 2.46, 95CI: 1.43–4.22, n=8 studies). The same was reported for diarrhea (OR 3.03, 95CI: 1.2-7.62, n=7 studies). A significant publication bias was found in BRD selected studies (n=5 studies) which revealed a non-significant association (OR 1.40, 95CI 0.77-2.6). In the models adjusted for the type of raising system (veal vs other purposes) as moderator, calves raised for other purposes had nonsignificant higher odds for mortality and diarrhea, OR 2.06 (95% CI: 0.71-5.98) and 3.39 (95% CI: 0.53-21.54), respectively.

4.Conclusion:
ITPI was found to be associated with mortality and diarrhea in finishing facilities for commingled dairy calves raised for veal or other purposes. Standardized definitions for transfer of passive immunity, and main calves’ health outcomes are recommended, as well as a better description of raising systems used for commingled dairy calves raised for meat production.

Key words: Mortality, diarrhea, odds ratio, publication bias, raising system
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5d659feb-3ce8-4fa8-a0e3-729879caf10e","Title":"Dr.","FirstName":"Abdelmonem","LastName":"AbdAllah","Position":"Student","Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"AbdAllah A"},{"PresentationId":"5d659feb-3ce8-4fa8-a0e3-729879caf10e","Title":"Prof. Dr.","FirstName":"David","LastName":"Francoz","Position":"Vice-Dean for Teaching Staff","Affiliations":"1,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Francoz D"},{"PresentationId":"5d659feb-3ce8-4fa8-a0e3-729879caf10e","Title":"Dre","FirstName":"Julie","LastName":"Berman","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Berman J"},{"PresentationId":"5d659feb-3ce8-4fa8-a0e3-729879caf10e","Title":"Prof.","FirstName":"Simon","LastName":"Dufour","Position":"Professor of Epidemiology","Affiliations":"3,4","IsPresenting":false,"SortOrder":4,"DisplayName":"Dufour S"},{"PresentationId":"5d659feb-3ce8-4fa8-a0e3-729879caf10e","Title":"Prof. Dr.","FirstName":"Sébastien","LastName":"Buczinski","Position":"Director of the Center of Expertise and Clinical Research in Animal Health and Welfare Full Professor, Bovine Ambulatory Clinic","Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Buczinski S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d659feb-3ce8-4fa8-a0e3-729879caf10e","Number":1,"Affiliation":"Department of Clinical Sciences, Faculty Of Veterinary Medicine, Montréal University","City":"Saint Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Department of Clinical Sciences, Faculty Of Veterinary Medicine, Montréal University, Saint Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d659feb-3ce8-4fa8-a0e3-729879caf10e","Number":2,"Affiliation":"Department of Animal Medicine, Faculty Of Veterinary Medicine, Zagazig University","City":"Zagazig","State":"Sharkia","Country":"Egypt","AffiliationDisplay":"Department of Animal Medicine, Faculty Of Veterinary Medicine, Zagazig University, Zagazig Sharkia, Egypt"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d659feb-3ce8-4fa8-a0e3-729879caf10e","Number":3,"Affiliation":"Op+lait Group","City":"Saint Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Op+lait Group, Saint Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d659feb-3ce8-4fa8-a0e3-729879caf10e","Number":4,"Affiliation":"Department of Pathology and Microbiology, Faculty Of Veterinary Medicine, Montréal University","City":"Saint Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Department of Pathology and Microbiology, Faculty Of Veterinary Medicine, Montréal University, Saint Hyacinthe QC, Canada"}],"AuthorsHtml":"AbdAllah A1,2,3, Francoz D1,3, Berman J1, Dufour S3,4, Buczinski S1,3","AffiliationsHtml":"

1Department of Clinical Sciences, Faculty Of Veterinary Medicine, Montréal University, Saint Hyacinthe QC, Canada
2Department of Animal Medicine, Faculty Of Veterinary Medicine, Zagazig University, Zagazig Sharkia, Egypt
3Op+lait Group, Saint Hyacinthe QC, Canada
4Department of Pathology and Microbiology, Faculty Of Veterinary Medicine, Montréal University, Saint Hyacinthe QC, Canada
"}],"DisplayName":"Abdelmonem AbdAllah","TimeDisplay":null},{"ContactId":"8e658ce8-514e-485a-a752-9f6b5ee3d4ea","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Hasanthi Abeykoon","LastName":"Abeykoon Mudiyanselage","Position":"Graduate Student","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/120b5202f42c48feb2f0ed58b0a334ae","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Performance evaluation and validation of air samplers to detect aerosolized Coxiella burnetii","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8f07ee7a-8abc-4dc8-8355-7350265ce22e","Html":null,"PlainText":"Keywords: Coxiella burnetii, Q fever, air sampler, Limit of Detection, Limit of Quantification

Coxiella burnetii is the causative agent of Q fever. It is a zoonotic disease transmitted by inhalation of as little as a single bacterium and can be fatal if left untreated. Therefore, knowing if and how abundantly C. burnetii are present in air around putative sources such as infected farms or abattoirs is important. The objective of this study was to evaluate and validate three air samplers (AirPort MD8, BioSampler and Coriolis micro) for their ability to detect a range of concentrations of aerosolized C. burnetii; the time and duration of sampling; and ease of operation in the field.

High, intermediate, and low C. burnetii concentrations were nebulized into a testing chamber placed inside a Class II biosafety cabinet. The devices sampled 500 Litres of air in replicate (n=6). The two liquid impingers were tested with phosphate buffered saline (PBS) and alkaline polyethylene glycol (aPEG). All starting suspensions and air samples were tested with com1 and IS1111 qPCR. The com1 qPCR was validated for three substrates (PBS, aPEG, and dissolved gelatine) used in this study.

Performance of all air samplers was mostly similar across the concentrations tested. AirPort demonstrated the highest recovery at high contamination; however, there was considerable variance in detected concentrations. Even though the BioSampler and Coriolis had lower recovery probabilities, their replicates demonstrated higher repeatability. At low and intermediate contamination, detection and quantification was hindered by the limits of detection and quantification of the qPCR assay. The AirPort sampler had consistently higher recovery probabilities and ease of handling.

This first study of validating air samplers for detection of airborne C. burnetii observed that while all samplers performed well, their performance was not equal. It is recommended to further support these results under field conditions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8f07ee7a-8abc-4dc8-8355-7350265ce22e","Title":"Dr.","FirstName":"Hasanthi Abeykoon","LastName":"Abeykoon Mudiyanselage","Position":"Graduate Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Abeykoon Mudiyanselage H"},{"PresentationId":"8f07ee7a-8abc-4dc8-8355-7350265ce22e","Title":"Ms","FirstName":"Megan","LastName":"Poon","Position":"DVM student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Poon M"},{"PresentationId":"8f07ee7a-8abc-4dc8-8355-7350265ce22e","Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Firestone S"},{"PresentationId":"8f07ee7a-8abc-4dc8-8355-7350265ce22e","Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Stevenson M"},{"PresentationId":"8f07ee7a-8abc-4dc8-8355-7350265ce22e","Title":"Ms.","FirstName":"Anke","LastName":"Wiethoelter","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Wiethoelter A"},{"PresentationId":"8f07ee7a-8abc-4dc8-8355-7350265ce22e","Title":"Dr.","FirstName":"Gemma","LastName":"Vincent","Position":"Medical Scientist","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Vincent G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f07ee7a-8abc-4dc8-8355-7350265ce22e","Number":1,"Affiliation":"University Of Melbourne","City":"Parkville","State":"VIC","Country":"Australia","AffiliationDisplay":"University Of Melbourne, Parkville VIC, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f07ee7a-8abc-4dc8-8355-7350265ce22e","Number":2,"Affiliation":"Australian Rickettsial Reference Laboratory","City":"Geelong","State":"VIC","Country":"Australia","AffiliationDisplay":"Australian Rickettsial Reference Laboratory, Geelong VIC, Australia"}],"AuthorsHtml":"Abeykoon Mudiyanselage H1, Poon M1, Firestone S1, Stevenson M1, Wiethoelter A1, Vincent G2","AffiliationsHtml":"
1University Of Melbourne, Parkville VIC, Australia
2Australian Rickettsial Reference Laboratory, Geelong VIC, Australia
"},{"Title":"A pilot study to determine Coxiella burnetii environmental contamination in and around a Coxiella burnetii-positive dairy goat farm","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a16a66a7-b71c-46e1-924e-61f777a167f6","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"03da06a5-4ba1-41c9-93b7-9942a8bdab39","Html":null,"PlainText":"Key words: Coxiella burnetii, environmental microbiology, Q fever, dairy goat, PCR

Objectives
The risk that intensively managed Coxiella burnetti positive dairy goat herds pose to nearby residents in an Australian context is largely unknown. The objective of this study was to establish sampling protocols for a larger study to comprehensively assess the level of C. burnetii environmental contamination in and around an intensively managed Coxiella burnetti positive dairy goat herd.

Materials and methods
Environmental samples were collected from inside kidding sheds and were tested with the com1 qPCR. Air, soil, and water samples were taken from sites immediately adjacent to the kidding sheds while soil was collected along transects from 500 m to 3 km from the kidding shed boundaries. Soil samples were screened with the IS1111 qPCR. The soil DNA extraction and com1 qPCR protocol was validated to determine the limits of detection (LoD) and the limit of quantitation (LoQ).

Results
The environment inside the kidding shed was highly contaminated with C. burnetii. C. burnetii concentrations markedly reduced once outside of the kidding sheds and a low level of contamination was seen just inside the farm border. The soil DNA extraction and com1 qPCR was 0.47% efficient with LoD of 10^6.12 and LoQ of 10^8.65 GE/g.

Conclusion
This study demonstrates a high level of C. burnetii contamination adjacent to kidding sheds which reduces in proportion to the distance from kidding shed boundaries. The intermittent weak positives beyond the farm border could be due to soil contamination by wildlife. Investigations are ongoing to understand the drivers and persistence of C. burnetii contamination on this farm.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"03da06a5-4ba1-41c9-93b7-9942a8bdab39","Title":"Dr.","FirstName":"A M Hasanthi","LastName":"Abeykoon","Position":"Graduate Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Abeykoon A"},{"PresentationId":"03da06a5-4ba1-41c9-93b7-9942a8bdab39","Title":"Mr","FirstName":"Kangwei","LastName":"Hou","Position":"Graduate Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Hou K"},{"PresentationId":"03da06a5-4ba1-41c9-93b7-9942a8bdab39","Title":"Dr.","FirstName":"Anke","LastName":"Wiethoelter","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Wiethoelter A"},{"PresentationId":"03da06a5-4ba1-41c9-93b7-9942a8bdab39","Title":"Dr.","FirstName":"Gemma","LastName":"Vincent","Position":"Medical Scientist","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Vincent G"},{"PresentationId":"03da06a5-4ba1-41c9-93b7-9942a8bdab39","Title":"Prof.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Stevenson M"},{"PresentationId":"03da06a5-4ba1-41c9-93b7-9942a8bdab39","Title":"Associate Prof","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Firestone S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"03da06a5-4ba1-41c9-93b7-9942a8bdab39","Number":1,"Affiliation":"University Of Melbourne","City":"Parkville","State":"VIC","Country":"Australia","AffiliationDisplay":"University Of Melbourne, Parkville VIC, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"03da06a5-4ba1-41c9-93b7-9942a8bdab39","Number":2,"Affiliation":"Australian Rickettsial Reference Laboratory","City":"Geelong","State":"VIC","Country":"Australia","AffiliationDisplay":"Australian Rickettsial Reference Laboratory, Geelong VIC, Australia"}],"AuthorsHtml":"Abeykoon A1, Hou K1, Wiethoelter A1, Vincent G2, Stevenson M1, Firestone S1","AffiliationsHtml":"
1University Of Melbourne, Parkville VIC, Australia
2Australian Rickettsial Reference Laboratory, Geelong VIC, Australia
"}],"DisplayName":"Hasanthi Abeykoon Abeykoon Mudiyanselage","TimeDisplay":null},{"ContactId":"cd805c27-f1ef-44cd-b47f-519d716fc6a9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jennifer","LastName":"Abi Younes","Position":"PhD Student","Organization":"Western College Of Veterinary Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Changes in the susceptibility of Mannheimia haemolytica isolates to macrolide antimicrobials after metaphylactic tulathromycin use in feedlot calves","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"343b45b4-f942-4991-a36e-531eebab75fe","Html":null,"PlainText":"Objectives

Cattle at high-risk for bovine respiratory disease on entry to western Canadian feedlots are often treated metaphylactically with macrolide class antimicrobials. The objective of this work was to describe near-term (<40 days on feed (DOF)) changes in the recovery and susceptibility of Mannheimia haemolytica isolates from healthy feedlot calves after metaphylactic exposure to tulathromycin.

Materials and methods

Recently weaned steers of various beef breeds were sourced from a local auction market and shipped to a research feedlot. Eight cohorts of 100 calves (n=800) were sampled via deep nasopharyngeal swab at entry processing (i.e., prior to metaphylaxis, at 1 DOF) and again at 13 DOF. Ten calves from each cohort (n=80) were randomly sampled a third time at 36 DOF. Samples were submitted to Prairie Diagnostic Services, Inc. for bacterial culture and susceptibility testing.

Results

The recovery of M. haemolytica isolates across all cohorts increased over the study period, from 33% (26.5 – 40.2%) at 1 DOF to 75% (71.4 – 78.3%) at 36 DOF. A significant shift in the minimum inhibitory concentration (MIC) distribution of tulathromycin from 1 DOF (MIC90 < 8 µg/mL) to 13 DOF (MIC90 > 64 µg/mL) was observed. This trend was present to a lesser extent for tilmicosin, and is captured by the unimodal shift from 1 DOF (MIC50 = 4 µg/mL) to 13 DOF (MIC50 = 16 µg/mL). A subset of 36 isolates from 13 DOF screened for macrolide resistance genes via multiplex polymerase chain reaction all harboured the msrE and mphE genes.

Conclusion

Metaphylactic tulathromycin did not appear to inhibit the recovery of M. haemolytica at 13 or 36 DOF. Conversely, these data suggest the potential for rapid inter-pen spread of a macrolide-resistant clone by 13 DOF in six of eight cohorts under selective pressure from antimicrobial use.

Keywords
feedlot, metaphylaxis, AMU, AMR","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"343b45b4-f942-4991-a36e-531eebab75fe","Title":"Ms.","FirstName":"Dana","LastName":"Ramsay","Position":"PhD Candidate","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Ramsay D"},{"PresentationId":"343b45b4-f942-4991-a36e-531eebab75fe","Title":"Ms.","FirstName":"Jennifer","LastName":"Abi Younes","Position":"PhD Student","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Abi Younes J"},{"PresentationId":"343b45b4-f942-4991-a36e-531eebab75fe","Title":null,"FirstName":"Darien","LastName":"Deschner","Position":"MSc candidate","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Deschner D"},{"PresentationId":"343b45b4-f942-4991-a36e-531eebab75fe","Title":"Dr.","FirstName":"Janet","LastName":"Hill","Position":"Department Head/professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Hill J"},{"PresentationId":"343b45b4-f942-4991-a36e-531eebab75fe","Title":"Dr.","FirstName":"John","LastName":"Campbell","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Campbell J"},{"PresentationId":"343b45b4-f942-4991-a36e-531eebab75fe","Title":"Dr.","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Waldner C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"343b45b4-f942-4991-a36e-531eebab75fe","Number":1,"Affiliation":"Department of Large Animal Clinical Sciences, Western College Of Veterinary Medicine","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Department of Large Animal Clinical Sciences, Western College Of Veterinary Medicine, Saskatoon SK, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"343b45b4-f942-4991-a36e-531eebab75fe","Number":2,"Affiliation":"Department of Veterinary Microbiology, Western College of Veterinary Medicine","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Department of Veterinary Microbiology, Western College of Veterinary Medicine, Saskatoon SK, Canada"}],"AuthorsHtml":"Ramsay D1, Abi Younes J1, Deschner D2, Hill J2, Campbell J1, Waldner C1","AffiliationsHtml":"
1Department of Large Animal Clinical Sciences, Western College Of Veterinary Medicine, Saskatoon SK, Canada
2Department of Veterinary Microbiology, Western College of Veterinary Medicine, Saskatoon SK, Canada
"},{"Title":"Evaluating the potential of third generation metagenomic sequencing for the detection of BRD pathogens and genetic determinants of resistance in chronically ill feedlot cattle","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8d6829cb-095c-4f27-b3b4-1bc11dc02a01","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Html":null,"PlainText":"Objective: Traditional bacterial culture and antimicrobial susceptibility testing (AST) has a turnaround time of several days, limiting its benefit to therapeutic decisions for management of bovine respiratory disease (BRD). Nanopore metagenomic sequencing can potentially identify pathogen biomarkers and antimicrobial resistance genes in a shorter time frame. This study’s objective is to compare the diagnostic performance of nanopore metagenomic sequencing to culture and sensitivity methods as applied to nasopharyngeal samples from chronically ill commercial feedlot cattle.
Materials and Methods: Two pens of steers with chronic, unresponsive BRD and/or lameness (n=25) from a commercial feedlot in Saskatchewan were sampled via deep nasopharyngeal swabs. The swabs were placed into Amies transport medium, vortexed, and the liquid separated into two aliquots. One aliquot was submitted for culture of common bacterial BRD pathogens followed by AST. The second aliquot underwent Oxford Nanopore-based metagenomic sequencing and bioinformatic analysis. The results of culture and sensitivity were compared to metagenomic sequencing.
Results: BRD pathogens were isolated from most samples and a variety of resistance profiles were observed across isolates. The sequencing data indicated the samples were dominated by Moraxella bovoculi, Mannheimia haemolytica, Mycoplasma dispar, and Pasteurella multocida, and included a wide range of antimicrobial resistance genes (ARGs). Metagenomic sequencing detected BRD pathogens of interest more often than did culture, but there was limited concordance between phenotypic resistance to antimicrobials and the presence of relevant ARGs.
Conclusions: Metagenomic sequencing can reduce turnaround time from sampling to results, detect pathogens missed by bacterial culture, and identify genetically encoded determinants of resistance. Increasing target sequencing coverage will be an essential component of improving the reliability of this technology, such that it can be better used for the surveillance of pathogens and genetic determinants of resistance, and to inform diagnostic decisions.
Keywords: bovine respiratory disease, antimicrobial resistance, metagenomics, Oxford Nanopore Technology","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Title":"Dr.","FirstName":"Claire N.","LastName":"Freeman","Position":"Postdoctoral Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Freeman C"},{"PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Title":"Dr.","FirstName":"Emily K.","LastName":"Herman","Position":"Postdoctoral Fellow","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Herman E"},{"PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Title":"Dr.","FirstName":"Jennifer","LastName":"Abi Younes","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Abi Younes J"},{"PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Title":null,"FirstName":"Dana E.","LastName":"Ramsay","Position":"PhD Candidate","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Ramsay D"},{"PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Title":"Dr.","FirstName":"Nathan","LastName":"Erikson","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Erikson N"},{"PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Title":"Dr.","FirstName":"Paul","LastName":"Stothard","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Stothard P"},{"PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Title":"Dr.","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Waldner C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Number":1,"Affiliation":"Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon SK, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"45aa7d39-dd56-476b-b5a2-e6ce69a85671","Number":2,"Affiliation":"Department of Agricultural, Food, and Nutritional Science, Faculty of Agricultural, Life, and Environmental Sciences, University of Alberta","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Agricultural, Food, and Nutritional Science, Faculty of Agricultural, Life, and Environmental Sciences, University of Alberta, Edmonton AB, Canada"}],"AuthorsHtml":"Freeman C1, Herman E2, Abi Younes J1, Ramsay D1, Erikson N1, Stothard P2, Waldner C1","AffiliationsHtml":"
1Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon SK, Canada
2Department of Agricultural, Food, and Nutritional Science, Faculty of Agricultural, Life, and Environmental Sciences, University of Alberta, Edmonton AB, Canada
"}],"DisplayName":"Jennifer Abi Younes","TimeDisplay":null},{"ContactId":"dbb18448-604d-4cf6-81e1-18313ee6bde1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kamal","LastName":"Acharya","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessment of the antimicrobial resistance profile of major mastitis pathogens isolated from bovine milk samples in Ontario, Canada between 2008 and 2017 ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fd060aa9-cb01-4fd4-a88f-87ada9e19561","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"24d8c9b9-f25d-4622-aced-49431cba39bb","Html":null,"PlainText":"
Passive surveillance data from diagnostic laboratories can be used to improve the understanding of temporal changes in the antimicrobial resistance profiles of mastitis pathogens. The objective of this study was to describe the observed temporal patterns of antimicrobial resistance (AMR) among mastitis pathogens between 2008-2017 in Ontario, Canada


Data on the antimicrobial susceptibility of pathogens isolated from bovine milk samples were retrieved from the database of the Animal Health Laboratory at the University of Guelph in Ontario, Canada. The AMR profile of each of the major mastitis causing bacteria against critically important antimicrobials was aggregated and presented as the proportion of isolates resistant to an antimicrobial. The AMR profile was defined for each bacteria and antimicrobial pair as the proportion of the resistant isolates relative to the total number of isolates tested. The temporal trend of AMR was evaluated by a time series analysis using the generalized linear autoregressive moving average model.



The sample (n = 16,399) included major mastitis pathogens like non-aureus staphylococci (16.2%), Escherichia coli (15.2%), Streptococcus uberis (12.9%), Staphylococcus aureus (9.8%), and Streptococcus dysgalactiae (8.5%). More than half of non-aureus staphylococci and E. coli isolates and more than 90% of Streptococcus uberis, Staphylococcus aureus, and Streptococcus dysgalactiae were susceptible to ampicillin. Likewise, most of the non-aureus staphylococci (84.8%) and E coli isolates (95.99%) were susceptible to ceftiofur. However, 16.7% of E coli isolates, 11.4% of non-aureus staphylococci, 9.8% of Streptococcus uberis, 3.2% of Streptococcus dysgalactiae, and 2.1% of Staphylococcus aureus exhibited multidrug resistance. Furthermore, time series analysis demonstrated an increasing trend in resistance of pathogens against critically important antimicrobials including erythromycin and ampicillin (P = <0.01).



Although the prevalence of antimicrobial resistance in the five major bovine mastitis pathogens was low, an increasing trend of resistance towards critically important antimicrobials needs further examination.


Kerwords:
Surveillance, antimicrobial-resistance, temporal-trend
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"24d8c9b9-f25d-4622-aced-49431cba39bb","Title":"Dr.","FirstName":"Kamal","LastName":"Acharya","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Acharya K"},{"PresentationId":"24d8c9b9-f25d-4622-aced-49431cba39bb","Title":"Ms.","FirstName":"Gabrielle","LastName":"Brankston","Position":"PHD candidate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Brankston G"},{"PresentationId":"24d8c9b9-f25d-4622-aced-49431cba39bb","Title":"Dr.","FirstName":"Olaf","LastName":"Berke","Position":"Associate Professor of Statistical Epidemiology and Graduate Exam Coordinator","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Berke O"},{"PresentationId":"24d8c9b9-f25d-4622-aced-49431cba39bb","Title":"Dr.","FirstName":"Amy","LastName":"Greer","Position":"Canada Research Chair in Population Disease Modeling and Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Greer A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"24d8c9b9-f25d-4622-aced-49431cba39bb","Number":1,"Affiliation":"Department of Population Medicine, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Acharya K1, Brankston G1, Berke O1, Greer A1","AffiliationsHtml":"
1Department of Population Medicine, University Of Guelph, Guelph ON, Canada
"}],"DisplayName":"Kamal Acharya","TimeDisplay":null},{"ContactId":"f1161bb2-b3bc-42de-ab99-b04674b22bcc","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Julie","LastName":"Adamchick","Position":null,"Organization":"World Wildlife Fund","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Julie Adamchick completed her PhD from the University of Minnesota in 2021 with studies that focused on risk analysis, trade, and veterinary interventions related to the control of foot and mouth disease in East African cattle systems. She holds a bachelor’s degree (Animal Science and International Agriculture) and DVM from Cornell University. She believes the relationships between livestock, food, livelihoods, and ecosystems are complex and critical to human and planetary thriving. She grew up in upstate New York on a 120-cow dairy and worked for 3 years as a managing veterinarian on a large commercial dairy farm. She is now working on the Sustainable Protein Systems team at WWF-US. ","Presentations":[{"Title":"Scenario trees and risk analysis applied to FMD in an endemic setting","Bio":"Julie Adamchick completed her PhD from the University of Minnesota in 2021 with studies that focused on risk analysis, trade, and veterinary interventions related to the control of foot and mouth disease in East African cattle systems. She holds a bachelor’s degree (Animal Science and International Agriculture) and DVM from Cornell University. She believes the relationships between livestock, food, livelihoods, and ecosystems are complex and critical to human and planetary thriving. She grew up in upstate New York on a 120-cow dairy and worked for 3 years as a managing veterinarian on a large commercial dairy farm. She is now working on the Sustainable Protein Systems team at WWF-US. ","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"3c6a5399-9575-44e3-b9b2-a2a51e8561a1","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"9_Special Session Part 1: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"79655547-f10d-4956-9771-935c6c5f1c4b","Html":null,"PlainText":"Risk assessment is an essential tool for demonstrating the fitness of one’s goods for the international marketplace and for improving animal health. Our objective was to characterize the probability of FMD infection among cattle at slaughter in Kenya and Uganda.

We partnered with veterinarians from the National Veterinary Services of Kenya (n = 13) and Uganda (n = 10) enrolled in a capacity-building program to systematically collect rich, local knowledge in a format appropriate for formal quantitative analysis. Participants mapped pathways and quantified variables that determine the risk of infection among cattle at slaughter originating from four beef production systems in each country. We translated the conceptual relationships into a stochastic model to estimate the probability that beef cattle reach slaughter while infected with FMD virus.

Findings highlighted that risk processes differ between management systems, disease and sale are not always independent events, and events on the risk pathway are influenced by the actions and motivations of value chain actors. The risk of FMD infection at slaughter was substantially lower for cattle from Kenyan feedlots and ranches compared to the other six systems evaluated. Reduction or elimination of commingling before slaughter was the most effective intervention to reduce risk of infection at slaughter for most systems.

These results give insight into factors that could be leveraged by potential interventions to lower the probability of FMD among beef cattle at slaughter. Such interventions should be evaluated to inform resource investment that is grounded in the values and capacity of each country. The framework of incremental progress with a focus on risk of the final commodity may serve as an alternative to the zoning-based Progressive Control Pathway for FMD because it may facilitate safe trade and access to regional markets and funding, providing a way to benchmark slow and steady forward motion.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"79655547-f10d-4956-9771-935c6c5f1c4b","Title":"Dr.","FirstName":"Julie","LastName":"Adamchick","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Adamchick J"},{"PresentationId":"79655547-f10d-4956-9771-935c6c5f1c4b","Title":"Prof","FirstName":"Andres","LastName":"Perez","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Perez A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"79655547-f10d-4956-9771-935c6c5f1c4b","Number":1,"Affiliation":"World Wildlife Fund","City":"Washington","State":"DC","Country":"USA","AffiliationDisplay":"World Wildlife Fund, Washington DC, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"79655547-f10d-4956-9771-935c6c5f1c4b","Number":2,"Affiliation":"University of Minnesota College of Veterinary Medicine","City":"St. Paul","State":"MN","Country":"USA ","AffiliationDisplay":"University of Minnesota College of Veterinary Medicine, St. Paul MN, USA "}],"AuthorsHtml":"Adamchick J1, Perez A2","AffiliationsHtml":"
1World Wildlife Fund, Washington DC, USA
2University of Minnesota College of Veterinary Medicine, St. Paul MN, USA
"}],"DisplayName":"Julie Adamchick","TimeDisplay":null},{"ContactId":"75917f54-0ae3-4243-8e3c-3ea8c2164a17","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Olufunto","LastName":"Adewusi","Position":"Graduate Student","Organization":"University of Alberta","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/aafbb69c17b247f8974203e928c8ef0d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Genomic ASSETS for Livestock: Changing the face of antimicrobial use decisions for livestock, a scoping review","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"1410ca0d-b8f8-4891-ba3d-4007cd4e8b2d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.B - AMU","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Html":null,"PlainText":"Objective
Genomic ASSETS (Antimicrobial Stewardship Systems from Evidence-based Treatment Strategies) for Livestock aims to use rapid genomic technology to inform antimicrobial use (AMU) in livestock. A metagenomics-based diagnostic system will provide timely results to practicing veterinarians.

The objective of this scoping review is to synthesize available knowledge on the application of metagenomic sequencing compared to polymerase chain reaction, loop-mediated isothermal amplification, and recombinase polymerase amplification for the direct detection of bacterial respiratory pathogens and antimicrobial resistance genes in diagnostic specimens.

Materials and methods
We designed the protocol with the Genomic ASSETS team and a librarian following Joanna Briggs Institute and PRISMA guidelines. The January 15, 2021 search was updated on January 19, 2022, using five databases – MEDLINE®, AGRICOLA™, BIOSIS Previews®, CABI and EMBASE®. Inclusion criteria comprised studies of metagenomics applied to bacterial respiratory pathogens that reported the (meta)genomic Experiments (MIMS) or Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) without the restriction of language or study location.

Results
Two reviewers screened 4,574 deduplicated articles (Fig. 1). Currently, there are 271 full articles for data extraction, and screening is ongoing based on the updated search. We will report on specific indications, populations, techniques, test comparisons, and current challenges.

Conclusion
Genomic ASSETS will change how we make AMU decisions for livestock by providing rapid, robust diagnostic information to end-users. This review will inform the ongoing development of genomic methods for this system.

Keywords: diagnostic testing, antimicrobial use/stewardship, (meta)genomics","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c1f39bf5c4f5492d9a98f90f35b928f2","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Title":"Dr.","FirstName":"Olufunto","LastName":"Adewusi","Position":"Graduate student (Ph.D.)","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Adewusi O"},{"PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Title":"Ms.","FirstName":"K.","LastName":"Robertson","Position":"Project manager","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Robertson K"},{"PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Title":"Prof.","FirstName":"C.L.","LastName":"Waldner","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Waldner C"},{"PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Title":"Dr.","FirstName":"P.","LastName":"Hannington","Position":"Associate Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Hannington P"},{"PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Title":"Professor","FirstName":"J.E.","LastName":"Hill","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Hill J"},{"PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Title":"Dr.","FirstName":"S.J.G.","LastName":"Otto","Position":"Assistant Professor","Affiliations":"5","IsPresenting":false,"SortOrder":6,"DisplayName":"Otto S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Number":1,"Affiliation":"HEAT-AMR, University of Alberta, School of Public Health","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"HEAT-AMR, University of Alberta, School of Public Health, Edmonton AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Number":2,"Affiliation":"University of Saskatchewan, Western College of Veterinary Medicine, Department of Large Animal Clinical Sciences","City":"Saskatchewan","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"University of Saskatchewan, Western College of Veterinary Medicine, Department of Large Animal Clinical Sciences, Saskatchewan Saskatchewan, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Number":3,"Affiliation":"University of Alberta, School of Public Health","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"University of Alberta, School of Public Health, Edmonton Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Number":4,"Affiliation":"University of Saskatchewan, Western College of Veterinary Medicine, Department of Veterinary Microbiology","City":"Saskatchewan","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"University of Saskatchewan, Western College of Veterinary Medicine, Department of Veterinary Microbiology, Saskatchewan Saskatchewan, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c7cad129-c55d-4602-83df-5b1066cdcf76","Number":5,"Affiliation":"Healthy Environment, Thematic Area Lead, Centre for Healthy Communities, University of Alberta, School of Public Health","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"Healthy Environment, Thematic Area Lead, Centre for Healthy Communities, University of Alberta, School of Public Health, Edmonton Alberta, Canada"}],"AuthorsHtml":"Adewusi O1, Robertson K1, Waldner C2, Hannington P3, Hill J4, Otto S5","AffiliationsHtml":"
1HEAT-AMR, University of Alberta, School of Public Health, Edmonton AB, Canada
2University of Saskatchewan, Western College of Veterinary Medicine, Department of Large Animal Clinical Sciences, Saskatchewan Saskatchewan, Canada
3University of Alberta, School of Public Health, Edmonton Alberta, Canada
4University of Saskatchewan, Western College of Veterinary Medicine, Department of Veterinary Microbiology, Saskatchewan Saskatchewan, Canada
5Healthy Environment, Thematic Area Lead, Centre for Healthy Communities, University of Alberta, School of Public Health, Edmonton Alberta, Canada
"}],"DisplayName":"Olufunto Adewusi","TimeDisplay":null},{"ContactId":"80b28759-c449-417f-b603-b72db5855b89","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Professor","Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c05c13269af04c8b89bd3daae8f29388","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A system approach to evaluate the added value of One Health surveillance for antimicrobial resistance based on the Canadian experience","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"ed4700f7-6271-44a5-b203-964660bc4356","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"2_Special Session Part 1: Systems Approaches to Promote Better Health for Animals, People and Ecosystems","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[],"Authors":[{"PresentationId":"2d522c04-49b3-4b00-8c97-f832adc3a19b","Title":"Mx.","FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Professor","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Aenishaenslin C"}],"Affiliations":[],"AuthorsHtml":"Aenishaenslin C","AffiliationsHtml":""},{"Title":"Frequent seroconversion, but low virus excretion in domestic cats after exposure to SARS-CoV-2 in their households ","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Html":null,"PlainText":"The COVID-19 pandemic likely originated from SARS-CoV-2 circulating in an animal reservoir. To date at least 29 animal species have been reported as susceptible to infection e, most often through contact with infected humans. This study investigated the risk of SARS-CoV-2 infection in domestic cats residing in households with at least one recently laboratory-confirmed human COVID-19 case.

The study was conducted in Quebec (Qc) and British-Columbia (BC) between January and December 2021. Forty-two cats from 31 households (Qc) and 14 cats from 8 households (BC) with one or more human COVID-19 cases laboratory-confirmed in the prior 9 days were recruited. Oronasal and rectal swabs, as well as sera were collected from cats as soon as possible after human case confirmation and after one week. RT- qPCR was used to detect SARS-CoV-2 RNA in swabs (Ct values< 35 were considered positive) and a conventional ELISA developed at Guelpĥ University was used to detect IgG antibodies in sera.

The delay between human case confirmation and first sampling in each cat varied from 1 to 9 days (mean: 4 days in Qc and 7 days in BC). Overall, 10/56 (17.9%) cats had at least one RT-qPCR positive sample (7 from Qc and 3 from BC). In SARS-CoV-2 positive cats, Ct values ranged from 26.5 to 34.1 (median 33.4). More than two-thirds of cats (36/52; 69.2%) had at least one positive serology result. The probability of a positive RT-qPCR result was 5.6 times higher in cats with clinical signs compatible with COVID-19 (including lethargy, sneezing, coughing, nasal and eye discharge and/or vomiting) reported by their owners.

This study suggests that infection of domestic cats with SARS-CoV-2 in households with human COVID-19 cases is frequent but that virus excretion is generally low, even if sampled shortly after confirmation of exposure.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Title":"Mx.","FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Professor","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Aenishaenslin C"},{"PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Title":"Dr","FirstName":"L.","LastName":"Daigle","Position":"Student","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Daigle L"},{"PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Title":"Dr","FirstName":"H.","LastName":"Khalid","Position":null,"Affiliations":"3,4","IsPresenting":false,"SortOrder":3,"DisplayName":"Khalid H"},{"PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Title":null,"FirstName":"C.","LastName":"Nury","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Nury C"},{"PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Title":"Dr","FirstName":"E.","LastName":"Fraser","Position":null,"Affiliations":"3,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Fraser E"},{"PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Title":"Dr","FirstName":"H.","LastName":"Carabin","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Carabin H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Number":1,"Affiliation":"Groupe de recherche en épidémiologie des zoonoses et santé publique - Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Groupe de recherche en épidémiologie des zoonoses et santé publique - Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Number":2,"Affiliation":"Centre de recherche en santé publique de l’Université de Montréal et du CIUSSS du Centre-Sud-de-l’île-de-Montréal","City":"Montréal","State":"QC","Country":"Canaca","AffiliationDisplay":"Centre de recherche en santé publique de l’Université de Montréal et du CIUSSS du Centre-Sud-de-l’île-de-Montréal, Montréal QC, Canaca"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Number":3,"Affiliation":"BC Centre for Disease Control","City":"Vancouver","State":"BC","Country":"Canada","AffiliationDisplay":"BC Centre for Disease Control, Vancouver BC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dcae9c81-a4af-4f18-83a8-b2b92130084b","Number":4,"Affiliation":"School of Population and Public Health, University of British Columbia","City":"Vancouver","State":"BC","Country":"Canada","AffiliationDisplay":"School of Population and Public Health, University of British Columbia, Vancouver BC, Canada"}],"AuthorsHtml":"Aenishaenslin C1,2, Daigle L1,2, Khalid H3,4, Nury C1, Fraser E3,4, Carabin H1,2","AffiliationsHtml":"
1Groupe de recherche en épidémiologie des zoonoses et santé publique - Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada
2Centre de recherche en santé publique de l’Université de Montréal et du CIUSSS du Centre-Sud-de-l’île-de-Montréal, Montréal QC, Canaca
3BC Centre for Disease Control, Vancouver BC, Canada
4School of Population and Public Health, University of British Columbia, Vancouver BC, Canada
"}],"DisplayName":"Cécile Aenishaenslin","TimeDisplay":null},{"ContactId":"738024e9-6700-4773-9dcf-94aaa7a13ba6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mohamed","LastName":"Afifi","Position":"","Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Comparison of the univariate and bivariate meta‐analyses for evaluating the teat sealant efficacy on the incidence and prevalence of intramammary infections ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"5ecb13dc-cd09-43c3-84ba-e86914a52825","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.E - Epidemiologic Principles and Methods (Statistical analysis)","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"992d7bf9-baea-4b8d-9d95-917a8d28ba5e","Html":null,"PlainText":"Objective: Bivariate meta‐analysis (BMA) jointly synthesizes treatment effects for two correlated outcomes, borrowing strength across them to yield more precise estimates. This study aimed to assess the impact of applying BMA, compared to the univariate meta-analysis, to the incidence and prevalence of intramammary infections (IMIs) post-calving in a systematic review (SR) addressing the efficacy of adding a teat sealant to antimicrobial treatments in dairy cows at dry-off.
Methods: The structural relationship between each study's prevalence and incidence, as the new (incidence) and persistent (non-cure) infections are making up the prevalence, allowed for approximating a variance-covariance matrix that models the correlations between the two outcomes both within and across studies. Random-effects univariate and bivariate meta-analyses were fitted to the extracted log odds ratios (LORs) for treatment versus control groups. Estimates and their precisions were empirically compared and a borrowing of strength (BoS) statistic was computed to quantify the gained indirect evidence using the BMA.
Results: A total of 17 trials providing either one (n=6) or both (n=11) of the outcomes were identified. For the overall IMI incidence, average LORs (95%CI) obtained from the bivariate and univariate models were -0.36 (-0.53, -0.19) and -0.39 (-0.57, -0.20), respectively, and the corresponding estimates for E. coli were -0.48 (-0.76, -0.20) and -0.5 (-0.82, -0.18), respectively. A BoS of 24-25% indicated that about a quarter the studies’ contributions to incidence estimates were gained from studies reporting prevalence outcome.
Conclusion: We demonstrated the BMA methods using data from an ongoing SR. Our results illustrated that BMA can give similar estimates but with narrower confidence intervals than the univariate counterparts. This can be explained with the additional indirect evidence gained by utilising the strong within-study and between-study correlations. However, if discrepancies between the two models occur, further investigations are needed.

Keywords: Bivariate meta-analysis, Intra-mammary infection, Incidence, Prevalence","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"992d7bf9-baea-4b8d-9d95-917a8d28ba5e","Title":"Mr.","FirstName":"Mohamed","LastName":"Afifi","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Afifi M"},{"PresentationId":"992d7bf9-baea-4b8d-9d95-917a8d28ba5e","Title":"Dr","FirstName":"Henrik","LastName":"Stryhn","Position":"Professor of Statistics","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Stryhn H"},{"PresentationId":"992d7bf9-baea-4b8d-9d95-917a8d28ba5e","Title":"Dr","FirstName":"Javier","LastName":"Sanchez","Position":"Professor of Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Sanchez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"992d7bf9-baea-4b8d-9d95-917a8d28ba5e","Number":1,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"992d7bf9-baea-4b8d-9d95-917a8d28ba5e","Number":2,"Affiliation":"Department of Animal Wealth Development, Biostatistics Section, Faculty of Veterinary Medicine, Zagazig University","City":"Zagazig","State":"Ash Sharqia Governorate","Country":"Egypt","AffiliationDisplay":"Department of Animal Wealth Development, Biostatistics Section, Faculty of Veterinary Medicine, Zagazig University, Zagazig Ash Sharqia Governorate, Egypt"}],"AuthorsHtml":"Afifi M1,2, Stryhn H1, Sanchez J1","AffiliationsHtml":"
1Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
2Department of Animal Wealth Development, Biostatistics Section, Faculty of Veterinary Medicine, Zagazig University, Zagazig Ash Sharqia Governorate, Egypt
"}],"DisplayName":"Mohamed Afifi","TimeDisplay":null},{"ContactId":"745b933d-5328-41a0-9476-94d5da7629ff","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Samuel","LastName":"Agbese","Position":"Msc student","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/339f5babcdd245678e4032316a09774f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Systematic review of the effectiveness of pharmaceutical interventions on cow-calf operations to treat or control gastrointestinal nematodes in pre-weaned beef calves","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9199f9b9-8148-4caa-ac7d-cbec70911211","Html":null,"PlainText":"Background: Cattle producers currently rely almost exclusively on the use of pharmaceutical interventions to control parasites, largely because of their remarkable efficacy, safety, spectrum of activity, and relatively low cost. However, there is a need for summarized information on the current scientific knowledge on their effectiveness as measured by a reduction in fecal egg count.

Objective: To identify, evaluate, and synthesize the primary literature on the effectiveness of pharmaceutical interventions used in pre-weaned beef calves to control or treat gastrointestinal nematodes (GIN).

Materials and Methods: A systematic literature search was conducted in Medline on the Ovid platform, Web of Science Core Collection, CAB Abstracts on the Ebsco platform, Scopus, and ProQuest Dissertations. Titles and abstracts of articles were checked for relevance using a set of inclusion criteria, the full text of those articles was read, and eligible articles were retained in the final review. Information on publication details, study design, population of animals (i.e., pre-weaned beef calves), population characteristics, pharmaceutical intervention (i.e., product, route, dosage), and outcome of interest (i.e., GIN genera, fecal egg counts) was extracted.

Results: Initial screening was composed of 1654 publications. After title and abstract screening, 123 articles were deemed relevant for full publication review. Of these, 91 were excluded for the following reasons: wrong population of interest (n=57), age of population of interest undefined (n=10), wrong outcome of interest (n=1), no pharmaceutical intervention of interest (n=1), full text in English not available (n=19), and use of an experimental infection (n=3). This resulted in a total of 32 studies retained for data extraction and risk of bias assessment.

Conclusions: The results of this study will provide information to help veterinarians and producers make evidence-based decisions to improve GIN control by more effectively using pharmaceutical interventions.

Keywords: literature review, anthelmintics, parasites, fecal egg counts, beef calves
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9199f9b9-8148-4caa-ac7d-cbec70911211","Title":"Dr.","FirstName":"Samuel","LastName":"Agbese","Position":"Msc student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Agbese S"},{"PresentationId":"9199f9b9-8148-4caa-ac7d-cbec70911211","Title":"Dr.","FirstName":"Virginia Margarita","LastName":"Sanguinetti","Position":"Graduate Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Sanguinetti V"},{"PresentationId":"9199f9b9-8148-4caa-ac7d-cbec70911211","Title":"Dr.","FirstName":"John","LastName":"Gilleard","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Gilleard J"},{"PresentationId":"9199f9b9-8148-4caa-ac7d-cbec70911211","Title":"Mrs.","FirstName":"Heather","LastName":"Ganshorn","Position":"Librarian","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Ganshorn H"},{"PresentationId":"9199f9b9-8148-4caa-ac7d-cbec70911211","Title":"Dr.","FirstName":"Claire","LastName":"Windeyer","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Windeyer C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9199f9b9-8148-4caa-ac7d-cbec70911211","Number":1,"Affiliation":"Department of Production Animal Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada ","City":null,"State":null,"Country":null,"AffiliationDisplay":"Department of Production Animal Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9199f9b9-8148-4caa-ac7d-cbec70911211","Number":2,"Affiliation":"Department of Comparative Biology and Experimental Medicine, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Department of Comparative Biology and Experimental Medicine, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9199f9b9-8148-4caa-ac7d-cbec70911211","Number":3,"Affiliation":"Libraries and Cultural Resources, University of Calgary, Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Libraries and Cultural Resources, University of Calgary, Canada"}],"AuthorsHtml":"Agbese S1, Sanguinetti V1, Gilleard J2, Ganshorn H3, Windeyer C1","AffiliationsHtml":"
1Department of Production Animal Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada
2Department of Comparative Biology and Experimental Medicine, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada
3Libraries and Cultural Resources, University of Calgary, Canada
"}],"DisplayName":"Samuel Agbese","TimeDisplay":null},{"ContactId":"399c0335-9a8f-4b25-9caa-e738ce2b7130","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Isha","LastName":"Agrawal","Position":"Graduate Research Assistant","Organization":"University of Illinois","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ce56cda06d30481d9d21a0cf28b12fac","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessing biosecurity knowledge and practices among Illinois veterinarians","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"691eb95b-8e83-4402-9e57-b3af198eba14","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"5a1e5282-50fd-4655-bfd8-5c2ac67d9ca9","Html":null,"PlainText":"Effective biosecurity practices are important to protect animals and humans against infectious diseases. Veterinarians play an important role in implementing and communicating biosecurity knowledge and practices. No previous study has investigated the biosecurity perception, knowledge, and practices of Illinois veterinarians.

The study objectives are to assess the biosecurity practices of Illinois veterinarians working in clinical practice and compare their biosecurity perception and knowledge to Illinois veterinarians working in non-clinical settings.

An online questionnaire was designed using Qualtricsxm software and sent to all veterinarians registered with Illinois State Veterinary Medical Association. The survey was open for 2 months between October- November 2021. Logistic regression was used to identify the differences in Illinois veterinarians’ biosecurity knowledge and practices. A statistically significant association was demonstrated using the Wald χ2 test with a P-value ≤0.05.

In total, 104 veterinarians completed the questionnaire of which 88% were veterinarians in clinical practice, and 12% were in other work sectors. Among clinical veterinarians, 88% worked with companion animals and 12% with farm animals (bovine and swine). Sixty-five percent of the respondents were females. Seventy percent of the clinical veterinarians had more than 15 years of experience. The odds of having biosecurity training (OR=5.75; 95 % CI = 1.69-19.56) and knowledge of biosecurity guidelines (OR=4.81; 95% CI= 1.37-16.92) was significantly higher in non-clinical veterinarians. Within clinical veterinarians, the odds of having biosecurity training (OR=15.31; 95% CI=3.67-63.97) and knowledge of biosecurity guidelines (OR=7.49; 95% CI = 1.82-30.91) was significantly higher in farm animal veterinarians compared to companion animal veterinarians.

Based on the study results, a gap in biosecurity knowledge was evident among companion animal veterinarians, suggesting a need for biosecurity training and educational program.

Keywords: Veterinarian, Biosecurity, Infectious Disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5a1e5282-50fd-4655-bfd8-5c2ac67d9ca9","Title":"Dr.","FirstName":"Isha","LastName":"Agrawal","Position":"Graduate Research Assistant","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Agrawal I"},{"PresentationId":"5a1e5282-50fd-4655-bfd8-5c2ac67d9ca9","Title":"Dr.","FirstName":"Csaba","LastName":"Varga","Position":"Assistant Professor of Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Varga C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5a1e5282-50fd-4655-bfd8-5c2ac67d9ca9","Number":1,"Affiliation":"Department of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign","City":"Urbana ","State":"IL","Country":"USA","AffiliationDisplay":"Department of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign, Urbana IL, USA"}],"AuthorsHtml":"Agrawal I1, Varga C1","AffiliationsHtml":"
1Department of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign, Urbana IL, USA
"}],"DisplayName":"Isha Agrawal","TimeDisplay":null},{"ContactId":"25c5482b-7087-4215-a18a-4a9a3fe400e8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Johan","LastName":"Åkerstedt","Position":"Senior researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Reporting diagnostic and contact data – example from a maedi outbreak in Norway","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d6a63110-2db2-480d-946f-9ef55d940da1","Html":null,"PlainText":"Objective: The Norwegian Veterinary Institute is the national diagnostic laboratory, and has an advisory role in cases of disease outbreaks in animals. NVI also supports outbreak teams with epidemiological data by producing outbreak reports. The information should be: a) timely, b) complete, and c) accurate. To meet this need, we developed a system for automated outbreak reporting and utilized it during an outbreak of maedi in Trøndelag, Norway in 2019.
Materials and methods: We gathered population data, contact and movement data, and test results from various sources. After cleaning the data, we combined them to produce descriptive statistics and analyses. We performed all data management and analyses in R, with version control on GitHub. The code was designed to be modular so that different modules can be called depending on the needs for different outbreaks. Automatic running of the report was set up using Scheduler in Windows.
Results: Since 2018, this platform has been used to develop six different outbreak reports for terrestrial animals. The outbreak report for maedi contains an overview of the current situation and its development, maps and contact networks, as well as lists of farms, either contacts with aggregated information, or farms to monitor in an outbreak zone. The outbreak report is also a source of data for research activities.
Conclusion: The outbreak reports have the advantage of giving all recipients the same information. They generate data that various actors cannot produce by themselves, or that need lot of resources. Close contact with the outbreak investigation team ensures continual feedback and it is easy to change or add new features. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d6a63110-2db2-480d-946f-9ef55d940da1","Title":"Dr.","FirstName":"Johan","LastName":"Åkerstedt","Position":"Senior researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Åkerstedt J"},{"PresentationId":"d6a63110-2db2-480d-946f-9ef55d940da1","Title":"Dr.","FirstName":"Katharine","LastName":"Dean","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Dean K"},{"PresentationId":"d6a63110-2db2-480d-946f-9ef55d940da1","Title":null,"FirstName":"Petter","LastName":"Hopp","Position":"Senior researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Hopp P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d6a63110-2db2-480d-946f-9ef55d940da1","Number":1,"Affiliation":"Norwegian Veterinary Institute","City":"Ås","State":null,"Country":"Norge","AffiliationDisplay":"Norwegian Veterinary Institute, Ås, Norge"}],"AuthorsHtml":"Åkerstedt J1, Dean K1, Hopp P1","AffiliationsHtml":"
1Norwegian Veterinary Institute, Ås, Norge
"}],"DisplayName":"Johan Åkerstedt","TimeDisplay":null},{"ContactId":"ab6c4434-4298-40c6-8e1e-b9e2d3a071ee","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Cyril","LastName":"Akwo","Position":null,"Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Spatial and temporal patterns of the blacklegged tick (Ixodes scapularis) and Lyme disease in Ontario, Canada: Making a case for a One Health surveillance approach","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c2f55ac8-98f3-4425-a787-955e6447d0eb","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Html":null,"PlainText":" Evidence suggests a concurrent geographic and temporal increase in the number of blacklegged tick (Ixodes scapularis) in the environment, the incidence of human LD cases, and canine LD seroprevalence across Ontario. The connectedness of humans, canines, and their environment suggests an integrated (One Health) surveillance strategy. The objective of this study was to assess the temporal trend, seasonality, and spatial distribution of the blacklegged tick and Lyme disease in Ontario.

We used active tick, passive tick, and human LD surveillance data and canine serological testing data. Exploratory time-series analyses were applied to the data to detect and describe trends and seasonality. Poisson and Negative Binomial Generalized Linear Autoregressive Moving Average models with annual and semi-annual, sine and cosine harmonic components were fit to the data to confirm and quantify any trend and seasonal effects. Data were mapped to visualize and compare the spatial patterns.

From 2010-2019, 29291 I. scapularis ticks were submitted from passive surveillance, and from 2015-2019, 3067 were from active surveillance. From 2010-2019, 4603 human LD cases were reported, and from 2007-2016, 12677 dogs were LD seropositive. We found an increasing trend in monthly counts of human cases, tick submissions, and canine seropositivity. Marked seasonality was observed. Tick counts from both passive and active surveillance peaked in May and October. Most human cases were reported between May and August with a peak in July. Counts, and incidence of human cases, canine seroprevalence, and rate of tick submissions were highest in Eastern Ontario.

We confirmed similar spatial and temporal aggregation patterns for I. scapularis, human LD cases, and canine seropositivity in Ontario. Thus, a One Health surveillance approach that entails the collection and integration of animal, human, and environmental data will greatly enhance our ability to monitor, prevent, and treat LD and other tick-borne diseases in humans and animals.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Title":"Mr.","FirstName":"Cyril","LastName":"Akwo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Akwo C"},{"PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Title":"Dr.","FirstName":"Scott","LastName":"Weese","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Weese S"},{"PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Title":"Dr.","FirstName":"Olaf ","LastName":"Berke","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Berke O"},{"PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Title":"Dr.","FirstName":"Mark","LastName":"Nelder","Position":"Senior Program Specialist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Nelder M"},{"PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Title":"Dr.","FirstName":"Claire","LastName":"Jardine","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Jardine C"},{"PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Title":"Dr.","FirstName":"Katie","LastName":"Clow","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Clow K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Number":1,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University Of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Number":2,"Affiliation":"Department of Pathobiology, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c8871928-af8b-408b-b1e1-2f844b7c8ff7","Number":3,"Affiliation":"Enteric, Zoonotic and Vector-Borne Diseases, Public Health Ontario","City":"Toronto","State":"Ontario","Country":"Canada","AffiliationDisplay":"Enteric, Zoonotic and Vector-Borne Diseases, Public Health Ontario, Toronto Ontario, Canada"}],"AuthorsHtml":"Akwo C1, Weese S2, Berke O1, Nelder M3, Jardine C2, Clow K1","AffiliationsHtml":"
1Department of Population Medicine, Ontario Veterinary College, University Of Guelph, Guelph ON, Canada
2Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada
3Enteric, Zoonotic and Vector-Borne Diseases, Public Health Ontario, Toronto Ontario, Canada
"}],"DisplayName":"Cyril Akwo","TimeDisplay":null},{"ContactId":"33efa6fc-669b-4662-b88e-f326cd4c9ac0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Shumoos","LastName":"Al Riyami","Position":"Senior Epidemiologist","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/98aa34d4a60645dc9d756d877bd8a8f1","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The effect of climate change on the spread of bluetongue in Australian livestock","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"ed44d921-18b5-415b-996b-9f60fc06a350","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.A - Capacity building in national veterinary service/ Climate Change Impacts and Policy","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ee6411d6-6404-4884-b0c8-0ee142ccd641","Html":null,"PlainText":"* Corresponding author email: [email protected]

Keywords: vector-borne disease, simulation modelling, climate change

Objective
We investigated the effect of climate change on the expected spread of bluetongue in Australia using the Australian Animal Disease Spread model (AADIS).

Materials and methods
Estimates of average daily temperature across Australia for 2015 were obtained from the Australian Bureau of Meteorology. Predicted average daily temperatures using the CanESM2 model (emission scenario RCP 8.5) for 2025 and 2035 were obtained from the Australian Climate Futures decision-support tool. Two study areas were selected: North Queensland and Northern New South Wales. A total of 24 virulent bluetongue outbreak scenarios were run: mid-summer and mid-winter incursions for each study area for 2015, 2025 and 2035, with direct animal movements disabled and enabled for each.

Results
There were marked increases in the predicted number of bluetongue positive herds as a function of simulation year in the North Queensland outbreaks when live animal movements were included. For Northern New South Wales, this trend was not as distinct, but the variability of predicted outbreak sizes for the 2035 incursions were greater than the variability of predicted outbreak sizes for the 2015 incursions.

Conclusions
Climate change will result in a greater portion of the land area of Australia with conditions suitable for Culicoides midges. Our findings show that under conditions of climate change and an outbreak of virulent bluetongue in Australia, the rapid imposition of effective restrictions of animal movement will be the single most important control measure to limit further spread of disease.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ee6411d6-6404-4884-b0c8-0ee142ccd641","Title":"Dr.","FirstName":"Shumoos","LastName":"Al Riyami","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Al Riyami S"},{"PresentationId":"ee6411d6-6404-4884-b0c8-0ee142ccd641","Title":"A/Prof","FirstName":"Simone","LastName":"Firestone","Position":"Assoc Professor (Vet Epidemiology & Public Health)","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Firestone S"},{"PresentationId":"ee6411d6-6404-4884-b0c8-0ee142ccd641","Title":"Dr","FirstName":"Richard","LastName":"Bradhurst","Position":"Senior Research Fellow","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Bradhurst R"},{"PresentationId":"ee6411d6-6404-4884-b0c8-0ee142ccd641","Title":"Dr","FirstName":"Debbie","LastName":"Eagles","Position":"Deputy Director","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Eagles D"},{"PresentationId":"ee6411d6-6404-4884-b0c8-0ee142ccd641","Title":"Prof","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Stevenson M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ee6411d6-6404-4884-b0c8-0ee142ccd641","Number":1,"Affiliation":"Asia-Pacific Centre for Animal Health, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne","City":"Parkville ","State":"VIC 3010","Country":"Australia","AffiliationDisplay":"Asia-Pacific Centre for Animal Health, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville VIC 3010, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ee6411d6-6404-4884-b0c8-0ee142ccd641","Number":2,"Affiliation":"Centre of Excellence for Biosecurity and Risk Analysis, The University of Melbourne","City":"Parkville ","State":"VIC 3010","Country":"Australia","AffiliationDisplay":"Centre of Excellence for Biosecurity and Risk Analysis, The University of Melbourne, Parkville VIC 3010, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ee6411d6-6404-4884-b0c8-0ee142ccd641","Number":3,"Affiliation":"CSIRO Australian Centre for Disease Preparedness","City":"5 Portarlington Rd, East Geelong ","State":"VIC 3220","Country":"Australia","AffiliationDisplay":"CSIRO Australian Centre for Disease Preparedness, 5 Portarlington Rd, East Geelong VIC 3220, Australia"}],"AuthorsHtml":"Al Riyami S1, Firestone S1, Bradhurst R2, Eagles D3, Stevenson M1","AffiliationsHtml":"
1Asia-Pacific Centre for Animal Health, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville VIC 3010, Australia
2Centre of Excellence for Biosecurity and Risk Analysis, The University of Melbourne, Parkville VIC 3010, Australia
3CSIRO Australian Centre for Disease Preparedness, 5 Portarlington Rd, East Geelong VIC 3220, Australia
"}],"DisplayName":"Shumoos Al Riyami","TimeDisplay":null},{"ContactId":"4f54e060-b6c1-4d0a-bfe6-c432cfcc293c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Erika","LastName":"Alandia Robles","Position":"Projects Coordinator","Organization":"Teko Kavi Foundation","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/dfa33d5da76346d283954413d3369aee","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Promoting participatory research and the One Health approach to improve health in rural communities from the Bolivian Amazon","Bio":null,"PresentationTypeName":"Special Session - Panel","Session":{"Id":"37900a0f-28bf-4055-9139-9e6300423525","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"3_Special Session Part 2: Systems Approaches to Promote Better Health for Animals, People and Ecosystems","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[],"Authors":[{"PresentationId":"ec366967-0ee4-4c20-b5b0-092b7ef01821","Title":"Miss","FirstName":"Erika","LastName":"Alandia Robles","Position":"Projects Coordinator","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Alandia Robles E"}],"Affiliations":[],"AuthorsHtml":"Alandia Robles E","AffiliationsHtml":""}],"DisplayName":"Erika Alandia Robles","TimeDisplay":null},{"ContactId":"3ec139b9-57ff-4131-909b-7a05288e6b9d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Laura Valeria","LastName":"Alarcon","Position":"","Organization":"Facultad De Ciencias Veterinarias Unlp","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a92815a61e3542fdb378051639ce21cc","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The pig transport network analysis to identify the key vehicles involved in diseases transmission in Argentina.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0d26653-f709-407c-9650-59c5bc9c5f5e","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.C - Network Analysis","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"94d46d73-0bb4-4d8f-b498-76eaa6a6352e","Html":null,"PlainText":"Objective. The goal of our study was to characterize the network of pig movements in Argentina during 2020-21 for identification of key movements and vehicles involved in swine transport.
Materials and methods. We collating the electronic transport documents (origin, destination, quantity-category animal, truck license plate) from 2020-2021. The challenge of identifying the riskiest vehicles was solved by network analysis. We built and operated on a directed graphs weighted by the total number of pigs moved among farms (farm-net), and between farms and slaughterhouses (slaughter-net). To find which edges (and vehicles) in each network are most between other pairs of vertices, we calculated the edge-betweenness centrality score and aggregated mean of edge-betweenness for each recorded vehicle.

Results. The movement network of 2020/2021 among farms has 5085 nodes, 33442 movements and 5926 vehicles, while the slaughter net has 4232 nodes, 244735 movements and 19627 vehicles. The edge-betweenness distribution from farms net was highly skewed (minimum:0, maximum:413903, median=1, mean=268.5, standard deviation(SD):5967.04). But the same distribution from slaughter-net was more even and varied from 0 to 7.5 (median:0, mean:0.041, SD:0.229). We find 876 vehicles of swine transport between farms(14.8%) with a betweenness higher than the average, 65 used for slaughterhouses to, and 34(0.6%) higher than the average+1SD. We find 3689 vehicles of swine transport for slaughterhouses(18.79%) with a betweenness higher than the average, 422 used between farms to, and 1713(8.73%) higher than the average+1 SD.

Conclusion. The transmission of diseases among farms through vehicles for animals transporting is one of the most effective routes. Network analysis allowed us to identify key movements and vehicles related to the potential spread of diseases. This would make it possible to design risk-based surveillance and control before an epidemic, in the context of the transboundary spread of African Swine fever.

Keywords: network analysis; surveillance of transport; swine movements
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"94d46d73-0bb4-4d8f-b498-76eaa6a6352e","Title":"Dr.","FirstName":"Laura Valeria","LastName":"Alarcon","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Alarcon L"},{"PresentationId":"94d46d73-0bb4-4d8f-b498-76eaa6a6352e","Title":"Veterinarian","FirstName":"Alejandro ","LastName":"Perez","Position":"Swine Program Coordinator","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Perez A"},{"PresentationId":"94d46d73-0bb4-4d8f-b498-76eaa6a6352e","Title":"Dr ","FirstName":"Pablo","LastName":"Cipriotti","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Cipriotti P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94d46d73-0bb4-4d8f-b498-76eaa6a6352e","Number":1,"Affiliation":"Facultad De Ciencias Veterinarias UNLP","City":"La Plata","State":"Buenos Aires","Country":"Argentina","AffiliationDisplay":"Facultad De Ciencias Veterinarias UNLP, La Plata Buenos Aires, Argentina"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94d46d73-0bb4-4d8f-b498-76eaa6a6352e","Number":2,"Affiliation":"National Food Safety Service of Argentina","City":"Cuidad Autonoma de Buenos Aires","State":"Buenos Aires","Country":"Argentina","AffiliationDisplay":"National Food Safety Service of Argentina, Cuidad Autonoma de Buenos Aires Buenos Aires, Argentina"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94d46d73-0bb4-4d8f-b498-76eaa6a6352e","Number":3,"Affiliation":"Department of Quantitative Methods and Information Systems, School of Agriculture, University of Buenos Aires.","City":"Buenos Aires ","State":"Buenos Aires ","Country":"Argentina","AffiliationDisplay":"Department of Quantitative Methods and Information Systems, School of Agriculture, University of Buenos Aires., Buenos Aires Buenos Aires , Argentina"}],"AuthorsHtml":"Alarcon L1, Perez A2, Cipriotti P3","AffiliationsHtml":"
1Facultad De Ciencias Veterinarias UNLP, La Plata Buenos Aires, Argentina
2National Food Safety Service of Argentina, Cuidad Autonoma de Buenos Aires Buenos Aires, Argentina
3Department of Quantitative Methods and Information Systems, School of Agriculture, University of Buenos Aires., Buenos Aires Buenos Aires , Argentina
"},{"Title":"Network analysis of cattle movement to optimize surveillance and control of bovine brucellosis in Argentina.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e8cccfcc-1f34-458c-b1eb-9bdf0b0ee30a","Html":null,"PlainText":"Objective: Use network analysis in combination with laboratory diagnostic data to identify cattle farms with positive and/or unknown status for Brucellosis, that have a key role in the spread of the disease to optimize the current surveillance and intervention in Argentina.

Material and methods: The databases required combining the electronic transfer documents (DT-e) of 2021 and data (2014-2018) of serological diagnoses of Brucella sp. produced by the laboratory of the National Animal Health and Food Quality Service. Network analysis allowed us to build and operate on a directed graph weighted by the number of bovine breeders moved (contact) between farms (nodes). From the computation of total degree and betweenness for each node, we calculate the Basic Reproductive Number (R0) at the network level. Then, the farms were ordered in descending way according to the degree and betweenness, successive R0’s were calculated iteratively for the entire network, eliminating one farm at once. The relative contribution to R0 of each farm was calculated. Those farms involved in reducing R0 by 80% were identified as \"super-spreaders.\" Among the super-spreaders, farms were classified according to the serological results for Brucella sp. in positive, negative or undefined status.

Results: According to the degree, 7.69%(7467/97125) high-risk farms were identified. 3.46%(258/7467) without diagnosis, 31.47%(2350/7467) were positive and 65.07% (4859/7467) were negative. Among these,(7467 farms), 6695 also were identify according to the betweenness, 2231(33.32%) are positive, 4233(63.23%) negative and 231(3.45%)unknown.

Conclusions: The movement of breeders bovine is the riskiest factor of Brucella sp. transmission between farms. The small fraction of infected farms, has central connectivity in the movements net, contributed disproportionally to diseases spread. This cattle farms identify, could be targeted by control and surveillance, within of a large population of farms, but low economic resources.

Key words: patterns of contact, management of disease, super-spreaders farms, brucellosis intervention.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e8cccfcc-1f34-458c-b1eb-9bdf0b0ee30a","Title":"Dr.","FirstName":"Laura Valeria","LastName":"Alarcon","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Alarcon L"},{"PresentationId":"e8cccfcc-1f34-458c-b1eb-9bdf0b0ee30a","Title":"Veterinarian","FirstName":"Andrea","LastName":"Marcos","Position":"Epidemiology Coordinator","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Marcos A"},{"PresentationId":"e8cccfcc-1f34-458c-b1eb-9bdf0b0ee30a","Title":"Dr","FirstName":"Pablo","LastName":"Cipriotti","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Cipriotti P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e8cccfcc-1f34-458c-b1eb-9bdf0b0ee30a","Number":1,"Affiliation":"Department of Epidemiology and public health, Facultad De Ciencias Veterinarias Unlp","City":"La Plata","State":"Buenos Aires","Country":"Argentina","AffiliationDisplay":"Department of Epidemiology and public health, Facultad De Ciencias Veterinarias Unlp, La Plata Buenos Aires, Argentina"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e8cccfcc-1f34-458c-b1eb-9bdf0b0ee30a","Number":2,"Affiliation":"National Food Safety Service of Argentina. ","City":"Cuidad Autonoma de Buenos Aires","State":"Buenos Aires","Country":"Argentina","AffiliationDisplay":"National Food Safety Service of Argentina. , Cuidad Autonoma de Buenos Aires Buenos Aires, Argentina"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e8cccfcc-1f34-458c-b1eb-9bdf0b0ee30a","Number":3,"Affiliation":"Department of Quantitative Methods and Information Systems, School of Agriculture, University of Buenos Aires.","City":"Buenos Aires","State":"Buenos Aires","Country":"Argentina","AffiliationDisplay":"Department of Quantitative Methods and Information Systems, School of Agriculture, University of Buenos Aires., Buenos Aires Buenos Aires, Argentina"}],"AuthorsHtml":"Alarcon L1, Marcos A2, Cipriotti P3","AffiliationsHtml":"
1Department of Epidemiology and public health, Facultad De Ciencias Veterinarias Unlp, La Plata Buenos Aires, Argentina
2National Food Safety Service of Argentina. , Cuidad Autonoma de Buenos Aires Buenos Aires, Argentina
3Department of Quantitative Methods and Information Systems, School of Agriculture, University of Buenos Aires., Buenos Aires Buenos Aires, Argentina
"}],"DisplayName":"Laura Valeria Alarcon","TimeDisplay":null},{"ContactId":"48a1db19-d75f-4f62-9601-0f623af4bda2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ahmad","LastName":"Albaaj","Position":"Postdoctoral researcher","Organization":"Montreal University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Development of a new interface to monitor the use of antimicrobials by dairy farms in Quebec","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"1410ca0d-b8f8-4891-ba3d-4007cd4e8b2d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.B - AMU","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Html":null,"PlainText":"To better apply the concept of judicious use of antimicrobials, it is essential to quantify antimicrobial usage (AMU) on a farm and to compare it with AMU of other farms in the same region. What we describe here refers to the concept of benchmarking. The vast majority of Quebec veterinarians use a same software, Vet-Expert®, for their accounting. These electronic data are centralized and were shown to be excellent for monitoring AMU. Our objective was to develop a web interface allowing producers and veterinarians to compare their AMU with that of their peers.

Prior to developing the interface, we: 1) developed an algorithm, using C# language, that can identify antimicrobials sales in Vet-Expert®; and 2) validated, on 72 farms, the agreement between a manual transformation of AMU data and the transformation made using the algorithm. Then, we developed a secured, real-time Shiny R interface where a veterinarian can compare AMU of a given client, with that of other dairy producers. A participatory approach was chosen and veterinarians were involved in the development of the interface from the very beginning.

The algorithm has efficiently detected the antimicrobial agent contained in each sale and transformed it into standardized doses with an excellent concordance correlation coefficient (0.999) with the manual transformation. As for now, the Vet-Expert® dataset contained information on 3000 dairy farms, with approximately 1,8 million sales/year. Of these, 35,451 sales could be identified as antimicrobials by the algorithm. The interface offers a detailed visualization of total AMU for each farm and includes filters by antimicrobials category and by administration route. It also shows evolution of AMU through time, and provides access to the raw veterinary sales data.

This interface for monitoring AMU by producers and by veterinarians using will become an essential tool for promoting changes in AMU practices in Quebec.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Title":"Dr.","FirstName":"Ahmad","LastName":"Albaaj","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Albaaj A"},{"PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Title":"Mr.","FirstName":"Miguel ","LastName":"Sautié-Castellanos","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Sautié-Castellanos M"},{"PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Title":"Dr.","FirstName":"David ","LastName":"Francoz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Francoz D"},{"PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Title":"Dr.","FirstName":"Jean-Philippe ","LastName":"Roy","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Roy J"},{"PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Title":"Dre.","FirstName":"Cécile ","LastName":"Aenishaenslin","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Aenishaenslin C"},{"PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Title":"Dr.","FirstName":"Sébastien ","LastName":"Buczinski1","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Buczinski1 S"},{"PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Title":"Dre.","FirstName":"Hélène ","LastName":"Lardé","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Lardé H"},{"PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Title":"Dr.","FirstName":"Simon ","LastName":"Dufour","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Dufour S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Number":1,"Affiliation":"Montreal University","City":"Saint-hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Montreal University, Saint-hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4c4c663e-716d-417a-b0e6-05a1d16714e7","Number":2,"Affiliation":"Ross University","City":"Basseterre","State":null,"Country":"St. Kitts West Indies","AffiliationDisplay":"Ross University, Basseterre, St. Kitts West Indies"}],"AuthorsHtml":"Albaaj A1, Sautié-Castellanos M1, Francoz D1, Roy J1, Aenishaenslin C1, Buczinski1 S1, Lardé H2, Dufour S1","AffiliationsHtml":"
1Montreal University, Saint-hyacinthe QC, Canada
2Ross University, Basseterre, St. Kitts West Indies
"}],"DisplayName":"Ahmad Albaaj","TimeDisplay":null},{"ContactId":"ce8445e3-1113-4570-af5a-606258d7b62e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lis","LastName":"Alban","Position":"","Organization":"Danish Agriculture & Food Council","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessment of risk to humans related to Salmonella in bile on pig carcasses","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"770ebe47-1f48-44bc-92c3-0bcde88690e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.C - Risk Assessment","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Html":null,"PlainText":"In the European Union, Salmonella is the main zoonotic hazard in pork. Contamination may occur during slaughter e.g., due to spread of fecal material. In 2020, the Danish competent authorities (CA) raised the concern that bile contamination of pig carcasses could be related to exposure of humans to Salmonella. To address this, it was decided to study the prevalence of Salmonella in pig gall.
The study was composed of two parts; an initial pilot study during which an aseptic way of taking samples from gall bladders was developed. This was followed by collection of 299 gall bladder samples from finishing pigs from 28 Danish pig herds. The samples were subjected to standard laboratory investigation. None of them were positive for Salmonella. A simulation model was set up to simulate the number of carcasses contaminated with Salmonella from bile that could be overlooked if the responsibility for handling bile contamination were to rest solely with the food business operator (FBO). The parameters for the model originated from the collected data, the Danish meat inspection database and expert opinion, retrieved from the CA and FBO. Two scenarios were run, a basic and a worst-case.
According to the basic scenario, a median of nine (90% CI: 0-53) carcasses would be overlooked in a production of 16 million finishing pigs in 1 year. Similarly, 103 carcasses (90% C.I.: 7-544) would be overlooked in the worst-case scenario. Compared to the Danish Salmonella programme, the median relative efficacy of focusing on bile-contamination to detect Salmonella was 0.008% in the basic scenario and 0.087% in the worst-case scenario.
In conclusion, the risk to human health associated with Salmonella resulting from bile contaminated finishing pig carcasses was estimated as negligible. Moreover, the FBO has procedures in place to prevent bile contaminated carcasses from leaving the abattoir.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Title":"Prof.","FirstName":"Lis","LastName":"Alban","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Alban L"},{"PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Title":"DVM MSci","FirstName":"Jesper","LastName":"Petersen","Position":"Senior consultant","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Petersen J"},{"PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Title":"DVM","FirstName":"Lene","LastName":"Lindegaard","Position":"Chief consultant","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Lindegaard L"},{"PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Title":"MSci PhD","FirstName":"Lene","LastName":"Meinert","Position":"Director of Food Safety","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Meinert L"},{"PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Title":"MSci PhD","FirstName":"Anette","LastName":"Koch","Position":"Technical manager","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Koch A"},{"PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Title":"DVM MSci","FirstName":"Vibeke","LastName":"Møgelmose","Position":"Head of Department","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Møgelmose V"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Number":1,"Affiliation":"Danish Agriculture & Food Council","City":"Copenhagen","State":"Zealand","Country":"Denmark","AffiliationDisplay":"Danish Agriculture & Food Council, Copenhagen Zealand, Denmark"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Number":2,"Affiliation":"University of Copenhagen","City":"Frederiksberg","State":"Zealand","Country":"Denmark","AffiliationDisplay":"University of Copenhagen, Frederiksberg Zealand, Denmark"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aff6dc43-69a0-46c7-9a79-f1a52f004e88","Number":3,"Affiliation":"Danish Meat Research Institute","City":"Taastrup","State":"Zealand","Country":"Denmark","AffiliationDisplay":"Danish Meat Research Institute, Taastrup Zealand, Denmark"}],"AuthorsHtml":"Alban L1,2, Petersen J1, Lindegaard L1, Meinert L3, Koch A3, Møgelmose V1","AffiliationsHtml":"
1Danish Agriculture & Food Council, Copenhagen Zealand, Denmark
2University of Copenhagen, Frederiksberg Zealand, Denmark
3Danish Meat Research Institute, Taastrup Zealand, Denmark
"},{"Title":"Estimating the true seroprevalence of Toxoplasma gondii in Danish pigs","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Html":null,"PlainText":"EFSA has identified Toxoplasma gondii as a potential food safety hazard from eating pork. Before deciding on risk mitigating strategies, the true seroprevalence in different pig subpopulations should be estimated. Moreover, the possibility of identifying infected herds must be evaluated. Therefore, we investigated these issues of relevance to surveillance and control using Danish data.

Blood samples were obtained from different subpopulations and tested for T. gondii antibodies using PrioCHECK ELISA. Risk-factors were identified using a hierarchical model, and the time taken to detect seropositive indoor and outdoor finisher and sow farms was investigated. The optimum cut-off for the ELISA was evaluated using Bayesian latent class analysis using data from samples simultaneously tested with the ELISA, modified agglutination test and Western blot. Sensitivity and specificity estimates at the updated cut-off were used to calculate the true seroprevalence in each of the four pig subpopulations i.e., indoor- and outdoor-raised finishers and sows.

Our findings suggest that the manufacturer’s cut-off should be increased from 20.0 to 27.7PP to obtain sensitivity and specificity of 99% and 95%, respectively. The estimated true seroprevalence was 1% (95% CI = 0–4%) in conventional finishers, 7% (95% CI = 2–13%) in organic finishers, 16% in conventional sows (95% CI = 8–26%) and 58% (95% CI = 46–69%) in organic sows. The risk factor analysis identified animal-type (sows versus finishers) and production (conventional versus organic) as risk factors for T. gondii seroprevalence. Time-to-detection was longer in conventional finisher and sow herds than in organic finisher herds.

Our findings support EFSA’s recommendation of auditing for biosecurity in low-risk conventional finisher herds and monitoring of outdoor finishers. Though sows are more likely to carry tissue cysts, their meat is mainly used for making processed products that are considered safe for consumption.

Keywords: zoonoses, Toxoplasma, pigs, surveillance, risk-mitigation
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Title":"PhD","FirstName":"Abbey","LastName":"Olsen","Position":"PhD-student","Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Olsen A"},{"PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Title":"DVM, PhD","FirstName":"Marianne","LastName":"Sandberg","Position":"Senior Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Sandberg M"},{"PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Title":"Mr.","FirstName":"Hans","LastName":"Houe","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Houe H"},{"PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Title":"PhD","FirstName":"Henrik Vedel","LastName":"Nielsen","Position":"Head of Laboratory","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Nielsen H"},{"PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Title":"Mr.","FirstName":"Matthew","LastName":"Denwood","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Denwood M"},{"PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Title":"Prof.","FirstName":"Lis","LastName":"Alban","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":6,"DisplayName":"Alban L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Number":1,"Affiliation":"Danish Agriculture and Food Council","City":"Copenhagen","State":"Zealand","Country":"Denmark","AffiliationDisplay":"Danish Agriculture and Food Council, Copenhagen Zealand, Denmark"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Number":2,"Affiliation":"University of Copenhagen","City":"Frederiksberg","State":"Zealand","Country":"Denmark","AffiliationDisplay":"University of Copenhagen, Frederiksberg Zealand, Denmark"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Number":3,"Affiliation":"Danish Technical University","City":"Lyngby","State":"Zealand","Country":"Denmark","AffiliationDisplay":"Danish Technical University, Lyngby Zealand, Denmark"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2537d38e-7739-44a9-9ed3-65a7b1cceb3f","Number":4,"Affiliation":"Statens Serum Institute","City":"Copenhagen","State":"Amager","Country":"Denmark","AffiliationDisplay":"Statens Serum Institute, Copenhagen Amager, Denmark"}],"AuthorsHtml":"Olsen A1,2, Sandberg M3, Houe H2, Nielsen H3, Denwood M2, Alban L1,2","AffiliationsHtml":"
1Danish Agriculture and Food Council, Copenhagen Zealand, Denmark
2University of Copenhagen, Frederiksberg Zealand, Denmark
3Danish Technical University, Lyngby Zealand, Denmark
4Statens Serum Institute, Copenhagen Amager, Denmark
"}],"DisplayName":"Lis Alban","TimeDisplay":null},{"ContactId":"2957b204-d8d1-4fff-88c2-c4f1eee44759","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Raul","LastName":"Alegria-Moran","Position":"Associate professor","Organization":"Universidad Santo Tomas","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/98dfa3e0afa647a880ac228dfbc87f0d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Spatial clusters and temporal behaviour of animal rabies in Ecuador between 2014 and 2019.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4847fc75-4143-4348-a01d-660157a7a632","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.D - One Health","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Html":null,"PlainText":"Objective: This study aims to identify temporal trends and spatial patterns of animal rabies in Ecuador between 2014-2019.

Materials and methods: A total of 789 farms with suspected cases of animal rabies were georeferenced during 2014-2019 from the Epidemiological Surveillance System of the Regulatory Agency of Phyto and Zoosanitary Regulation and Control of Ecuador (AGROCALIDAD). A spatial autocorrelation (SA) analysis was performed using Moran’s I index, using the Local Indicators of Spatial Association (LISA) statistics, for provinces, and cantons of Ecuador. SatScan was used to determine the presence of spatial clusters using Bernoulli distribution. Seasonality was determined by time series additive decomposition, autocorrelation, and Ljung-Box test.

Results: A total 406 (48.33%) farms were detected positive to animal rabies. An epidemiological corridor was observed at Amazon region. Statistically significant SA was detected for province and canton level, for both number of positive samples (PS) and positivity rate (PR) (Province-level: Moran’s I = 0.169; 95% CI = 0.103 – 0.234; p = 0.005 for PS and Moran’s I = 0.263; 95% CI = 0.139 – 0.387; p = 0.012 for PR. Canton-level: Moran’s I = 0.300; 95% CI = 0.264 – 0.337; p = 0.001 for PS and Moran’s I = 0.286; 95% CI = 0.244 – 0.328; p = 0.001 for PR). One high-risk significant cluster (RR = 1.90; p < 0.001) was located at provinces of Zamora Chinchipe and Loja (southern part of Ecuador) and two low-risk significant clusters (1: RR = 0.30; p < 0.001; 2: RR = 0.01; p = 0.013) in the west and north-east of Ecuador. Both, animal PS and PR, presents a stable behavior trough time, observing no seasonality.

Conclusion: An epidemiologic corridor was observed on the Amazon region and a significant high-risk cluster at the south of Ecuador, highlighting the importance of frontiers surveillance.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Title":"Dr.","FirstName":"César","LastName":"Briceño-Loaiza","Position":"1","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":1,"DisplayName":"Briceño-Loaiza C"},{"PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Title":"Dr.","FirstName":"César","LastName":"Benavides-Silva","Position":"2","Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Benavides-Silva C"},{"PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Title":"Dr.","FirstName":"Bastián","LastName":"Fernández-Sanhueza","Position":"2","Affiliations":"1,5","IsPresenting":false,"SortOrder":3,"DisplayName":"Fernández-Sanhueza B"},{"PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Title":"Dr.","FirstName":"Pedro","LastName":"Abalos","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Abalos P"},{"PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Title":"Dr.","FirstName":"Raul","LastName":"Alegria-Moran","Position":"Associate professor","Affiliations":"1,5,6","IsPresenting":true,"SortOrder":5,"DisplayName":"Alegria-Moran R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Number":1,"Affiliation":"Departament of Animal Preventive Medicine, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"La Pintana,","State":"Metropolitana","Country":"Chile","AffiliationDisplay":"Departament of Animal Preventive Medicine, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Number":2,"Affiliation":"Agencia de Regulación y Control Fito y Zoosanitario (AGROCALIDAD)","City":null,"State":null,"Country":"Ecuador","AffiliationDisplay":"Agencia de Regulación y Control Fito y Zoosanitario (AGROCALIDAD), Ecuador"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Number":3,"Affiliation":"School of Agroecology, Instituto Superior Tecnológico Juan Montalvo","City":null,"State":"Loja","Country":"Ecuador","AffiliationDisplay":"School of Agroecology, Instituto Superior Tecnológico Juan Montalvo, Loja, Ecuador"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Number":4,"Affiliation":"Facultad de Historia, Geografía y Ciencia Política, Instituto de Geografía, Pontificia Universidad Católica de Chile","City":"Santiago,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Facultad de Historia, Geografía y Ciencia Política, Instituto de Geografía, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Number":5,"Affiliation":"Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"La Pintana,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"120e55f6-e4b7-4bdd-8ad9-9cd332a1ad3c","Number":6,"Affiliation":"Escuela de Medicina Veterinaria sede Santiago, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas","City":"Santiago,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Escuela de Medicina Veterinaria sede Santiago, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas, Santiago, Región Metropolitana, Chile"}],"AuthorsHtml":"Briceño-Loaiza C1,2,3, Benavides-Silva C4, Fernández-Sanhueza B1,5, Abalos P1, Alegria-Moran R1,5,6","AffiliationsHtml":"
1Departament of Animal Preventive Medicine, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Metropolitana, Chile
2Agencia de Regulación y Control Fito y Zoosanitario (AGROCALIDAD), Ecuador
3School of Agroecology, Instituto Superior Tecnológico Juan Montalvo, Loja, Ecuador
4Facultad de Historia, Geografía y Ciencia Política, Instituto de Geografía, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile
5Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile
6Escuela de Medicina Veterinaria sede Santiago, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas, Santiago, Región Metropolitana, Chile
"},{"Title":"Risk factor analysis of animal rabies in Ecuador between 2014 and 2019.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Html":null,"PlainText":"Objective: This study aims to identify risk factors for positivity to animal rabies in Ecuador between 2014-2019.

Material and methods: A total of 789 farms with suspected of animal-rabies were recorded during 2014-2019 from the Epidemiological Surveillance System of the Regulatory Agency of Phyto and Zoosanitary Regulation and Control of Ecuador (AGROCALIDAD). Province, animal species, topographic and bio-climatic variables, among other variables were registered. Descriptive statistic was performed to characterize animal-rabies occurrence in Ecuador. A logistic multivariable regression model was performed to determine risk factors, variables with a p-value ≤ 0.15 were selected for the multivariable model. Lowest log Likelihood Ratio Test (LRT) model was selected as final model, using a backward elimination procedure removing variables with non-significant coefficients (P > 0.05). Goodness-of-fit was assessed using the Hosmer and Lemeshow Test (HLT).

Results: All the provincial territories of the Amazon region and the provinces of Esmeraldas and Loja, in the Costa and Highlands region stand out, the Amazon region reveals the highest positivity rate (50.17%), concentrating over 70% of the positive samples. Age decreases the risk of being positive to rabies (OR = 0.983; 95% CI = 0.973 – 0.993; p = 0.001), higher number of animals within the farm, decrease the risk of animal rabies (OR = 0.995; 95% CI = 0.992 – 0.999; p = 0.011), vaccination increase the risk of animal rabies (OR = 559.149; 95% CI = 57.098 – 5475.651; p < 0.001). Animals kept under farms with an occupation other than just animal breeding, when vaccinated against rabies, present a lower risk of being positive to rabies (OR = 0.010; 95% CI = 0.001 – 0.332; p = 0.010).

Conclusion: Older animals and mixed land use have lower risk of positivity to animal rabies. Vaccine has a controversial result that require further analysis. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Title":"Dr.","FirstName":"César","LastName":"Briceño-Loaiza","Position":"1","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":1,"DisplayName":"Briceño-Loaiza C"},{"PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Title":"Dr.","FirstName":"César","LastName":"Benavides-Silva","Position":"2","Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Benavides-Silva C"},{"PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Title":"Dr.","FirstName":"Bastián","LastName":"Fernández-Sanhueza","Position":"2","Affiliations":"1,5","IsPresenting":false,"SortOrder":3,"DisplayName":"Fernández-Sanhueza B"},{"PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Title":"Dr.","FirstName":"Pedro","LastName":"Abalos","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Abalos P"},{"PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Title":"Dr.","FirstName":"Raul","LastName":"Alegria-Moran","Position":"Associate professor","Affiliations":"1,5,6","IsPresenting":true,"SortOrder":5,"DisplayName":"Alegria-Moran R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Number":1,"Affiliation":"Departament of Animal Preventive Medicine, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"La Pintana,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Departament of Animal Preventive Medicine, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Number":2,"Affiliation":"Agencia de Regulación y Control Fito y Zoosanitario (AGROCALIDAD)","City":null,"State":null,"Country":"Ecuador","AffiliationDisplay":"Agencia de Regulación y Control Fito y Zoosanitario (AGROCALIDAD), Ecuador"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Number":3,"Affiliation":"School of Agroecology, Instituto Superior Tecnológico Juan Montalvo, ","City":null,"State":"Loja","Country":"Ecuador","AffiliationDisplay":"School of Agroecology, Instituto Superior Tecnológico Juan Montalvo, , Loja, Ecuador"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Number":4,"Affiliation":"Facultad de Historia, Geografía y Ciencia Política, Instituto de Geografía, Pontificia Universidad Católica de Chile","City":"Santiago,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Facultad de Historia, Geografía y Ciencia Política, Instituto de Geografía, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Number":5,"Affiliation":"Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"La Pintana,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d24f3d2-52a3-456e-84a0-f44d913c0076","Number":6,"Affiliation":"Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas","City":"Santiago,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas, Santiago, Región Metropolitana, Chile"}],"AuthorsHtml":"Briceño-Loaiza C1,2,3, Benavides-Silva C4, Fernández-Sanhueza B1,5, Abalos P1, Alegria-Moran R1,5,6","AffiliationsHtml":"
1Departament of Animal Preventive Medicine, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile
2Agencia de Regulación y Control Fito y Zoosanitario (AGROCALIDAD), Ecuador
3School of Agroecology, Instituto Superior Tecnológico Juan Montalvo, , Loja, Ecuador
4Facultad de Historia, Geografía y Ciencia Política, Instituto de Geografía, Pontificia Universidad Católica de Chile, Santiago, Región Metropolitana, Chile
5Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile
6Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas, Santiago, Región Metropolitana, Chile
"},{"Title":"Risk Factors for Positivity to Shiga Toxin-Producing Escherichia coli and Salmonella enterica in Backyard Production Systems Animals from central Chile: A Threat to Public Health?","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Html":null,"PlainText":"Objective: The aim of this study was to determine risk factors for positivity to S. enterica and STEC in BPS animals from Metropolitana region, Chile.

Material and methods: In each BPS, an epidemiological survey was undertaken, and stool samples were collected to detect these pathogens via bacteriological culture and conventional PCR techniques. Subsequently, multivariable logistic regression models were applied to establish the risk factors associated with their presence.

Results: A total of 85 BPS were sampled (712 animal sampled) in the Metropolitana region. When broken down at the province level, a total of 34 BPS were sampled in Melipilla, 13 in Chacabuco, 10 in Santiago, 5 in Cordillera, 7 in Talagante and 16 in Maipo. BPS positivity rates of 11.76% for STEC and 4.7% for S. enterica were observed. The systems showed poor welfare standards and a lack of biosecurity measures. The risk factor analysis concluded that the Gini–Simpson index (p = 0.030; OR = 1.717) and the presence of neighboring intensive poultry or swine production systems (p = 0.019; OR = 20.645) act as factors that increased the risk of positivity with respect to STEC. In the case of S. enterica, exchanging embryonated eggs (p = 0.021; OR = 39) and the presence of debeaked chickens (p = 0.001; OR = 156) were determined as factors that increased the risk of positivity for this agent. For positivity with respect to both pathogens, the Gini-Simpson index (p = 0.030; OR = 1.544) and being INDAP/PRODESAL users (p = 0.023; OR = 15.026) were determined as factors that increased the risk, whereas the type of confinement (p = 0.002; OR = 0.019) decreased it.

Conclusion: Epidemiological surveillance of these neglected populations is lacking, highlighting the fact that STEC and S. enterica maintenance on BPS represents a potential threat to public health.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Title":"Dr.","FirstName":"Erika","LastName":"Pavez-Muñoz","Position":"1","Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Pavez-Muñoz E"},{"PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Title":"Dr.","FirstName":"Bastián","LastName":"Fernández-Sanhueza","Position":"2","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Fernández-Sanhueza B"},{"PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Title":"Dr.","FirstName":"Constanza","LastName":"Urzúa-Encina","Position":"3","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Urzúa-Encina C"},{"PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Title":"Dr.","FirstName":"Gabriel","LastName":"Arriagada","Position":"4","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Arriagada G"},{"PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Title":"Dr.","FirstName":"Raul","LastName":"Alegria-Moran","Position":"Associate professor","Affiliations":"1,2,4","IsPresenting":true,"SortOrder":5,"DisplayName":"Alegria-Moran R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Number":1,"Affiliation":"Departament of Animal Preventive Medicine, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"La Pintana,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Departament of Animal Preventive Medicine, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Number":2,"Affiliation":"Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"La Pintana,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Number":3,"Affiliation":"Instituto de Ciencias Agroalimentarias, Animales y Ambientales – ICA3, Universidad de O'Higgins","City":"San Fernando,","State":"Región del Libertador General Bernardo O'Higgins","Country":"Chile","AffiliationDisplay":"Instituto de Ciencias Agroalimentarias, Animales y Ambientales – ICA3, Universidad de O'Higgins, San Fernando, Región del Libertador General Bernardo O'Higgins, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0f97cead-bf63-492c-a10f-b6b1062beb6d","Number":4,"Affiliation":"Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas","City":"Santiago,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas, Santiago, Región Metropolitana, Chile"}],"AuthorsHtml":"Pavez-Muñoz E1,2, Fernández-Sanhueza B1,2, Urzúa-Encina C1,2, Arriagada G3, Alegria-Moran R1,2,4","AffiliationsHtml":"
1Departament of Animal Preventive Medicine, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile
2Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile
3Instituto de Ciencias Agroalimentarias, Animales y Ambientales – ICA3, Universidad de O'Higgins, San Fernando, Región del Libertador General Bernardo O'Higgins, Chile
4Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas, Santiago, Región Metropolitana, Chile
"}],"DisplayName":"Raul Alegria-Moran","TimeDisplay":null},{"ContactId":"a02ea8a1-c20b-4179-a199-d22a5af8766b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Barbara","LastName":"Alessandrini","Position":"Head, Capacity Building Department","Organization":"World Organisation for Animal Health","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2917bde6d06f4a3e8e5fc7f16c75598e","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Supporting veterinary services for capacity in One Health systems making use of their particular strengths","Bio":"\r\n\r\n\r\n\r\n","PresentationTypeName":"Special Session - Panel","Session":{"Id":"37900a0f-28bf-4055-9139-9e6300423525","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"3_Special Session Part 2: Systems Approaches to Promote Better Health for Animals, People and Ecosystems","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[],"Authors":[{"PresentationId":"bf25e7e9-901a-4176-9848-73938f9e3384","Title":"Mrs.","FirstName":"Barbara","LastName":"Alessandrini","Position":"Head","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Alessandrini B"}],"Affiliations":[],"AuthorsHtml":"Alessandrini B","AffiliationsHtml":""},{"Title":"One Health Field Epidemiology Competency development: a survey on Field Epidemiology Training Programmes in public health and veterinary public health","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b3e517fe-cf58-4f9a-a3db-4c88394d0e77","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Html":null,"PlainText":"Objectives
One Health (OH) field epidemiology competencies for public, animal, and environment health sectors at the frontline, intermediate, and advanced levels, were developed by an FAO/OIE/WHO (Tripartite) project. The competency framework includes fourteen domains covering knowledge, skills, and competencies needed by epidemiologists working in a OH context at district, regional, and national/international level. In parallel, a desk-review survey was carried out to compare the new OH competencies to the existing programmes, to identify overlaps and gaps.

Materials and methods
An online survey was proposed to 116 stakeholders from all the world, representing Field Epidemiology Training Programs (FETP) and FETP for Veterinarians (FETPV) at regional, national, or local level. The on-line survey was structured into the 14 domains of the Tripartite Field Epidemiology Competency Framework. Participants were asked to identify the subdomains under each domain available in the training programmes they represented and for which level (i.e. frontline, intermediate, and advanced). They were also asked to identify the new competencies they wished to add to the existing programmes.

Results
Eighty-five respondents from 47 countries completed the survey; 56% represented national and 14% regional FETP/V. Surveillance systems, field investigations, epidemiological studies, and data management and biostatistics were the most common domains. Covid surveillance, public health management, project management, scientific communication, risk assessment, risk communication, outbreak and case investigation, molecular epidemiology, software application, risk-based surveillance, public health emergency management, economics, epidemic analysis for response decision making, emerged as desired sub-domains.

Conclusion
The investigation highlighted the strengths of existing FETP/FETPV, but also the critical capacity of programme managers to identify opportunities and areas for training improvement. The Tripartite One Health Field Epidemiology Competency Framework will therefore provide a robust basis for FETP/FETPV re-design and a unique and comprehensive scheme for a new OH field epidemiologists’ generation.

Key words
Training, field epidemiology, one health, competency
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":"Ms.","FirstName":"Silvia","LastName":"D'Albenzio","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"D'Albenzio S"},{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":null,"FirstName":"David","LastName":"Castellan","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Castellan D"},{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":null,"FirstName":"Ravi","LastName":"Dissanayake","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Dissanayake R"},{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":"Ms.","FirstName":"Stacie","LastName":"Dunkle","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Dunkle S"},{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":"Ms.","FirstName":"Marion","LastName":"Muehlen","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Muehlen M"},{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":null,"FirstName":"Julio","LastName":"Pinto","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Pinto J"},{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":"Mr.","FirstName":"Karl","LastName":"Schenkel","Position":"Epidemiologist","Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Schenkel K"},{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":"Dr.","FirstName":"Heather","LastName":"Simmons","Position":"Director","Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Simmons H"},{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":null,"FirstName":"Ahmed","LastName":"Zaghloul","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Zaghloul A"},{"PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Title":"Mrs.","FirstName":"Barbara","LastName":"Alessandrini","Position":"Head, Capacity Building Department","Affiliations":null,"IsPresenting":true,"SortOrder":10,"DisplayName":"Alessandrini B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9403d30d-4722-45de-9b75-d3b9f8ce24ed","Number":1,"Affiliation":"World Organisation for Animal Health ","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"World Organisation for Animal Health , Paris, France"}],"AuthorsHtml":"D'Albenzio S1, Castellan D, Dissanayake R, Dunkle S, Muehlen M, Pinto J, Schenkel K, Simmons H, Zaghloul A, Alessandrini B","AffiliationsHtml":"
1World Organisation for Animal Health , Paris, France
"}],"DisplayName":"Barbara Alessandrini","TimeDisplay":null},{"ContactId":"34b8d2c6-55dd-4d04-ada8-3a18d52f5dc5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/237ad80304a445dfbf4773d8e5455fa9","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Silvia Alonso is a senior scientist at the International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia. She is a veterinarian with postgraduate training in epidemiology and public health. She holds a MSc in Epidemiology from the London School of Hygiene and Tropical Medicine, a PhD in veterinary public health and is a Diplomate of the European College of Veterinary Public Health. Silvia worked for 5 years as a lecturer at the Royal Veterinary College where she gained experience in teaching and training at undergraduate and postgraduate level, both nationally and internationally. She has more than 15 years of experience in public health research, both in Europe and internationally. Her research looks at the interface between livestock production and human health, including nutrition. During her time at ILRI she has been involved in a range of projects looking at the epidemiology and control of different zoonoses, mainly foodborne, and on strategies for sustainable food safety in informal markets. Her current research explores how to leverage livestock value chains to improve health and nutrition. She is leading the first large-scale field trial of an intervention in informal markets to improve food safety and child nutrition in peri-urban Nairobi. She is a Diplomate of the European College of Veterinary Public Health.

","Presentations":[{"Title":"Development and validation of a Food Safety System Performance Tool for African countries","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"ce8286a6-6258-413f-8bc9-430d7ce0277e","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.E - Food Safety","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Html":null,"PlainText":"Objectives
Tools for monitoring the performance of food safety systems can guide countries’ investments on food safety. Available tools, mostly developed in high-income countries, are data-demanding and unsuitable to developing economies. We developed, tested and validated a tool for the assessment of food safety system performance based on secondary data.

Materials and methods
Conceptualization of the Food Safety System Performance Tool (FSSPT) was based on revision of existing tools and expert consultations to identify relevant indicators. Nine indicators were included in the tool (Figure 1). Secondary data were obtained for African countries, and countries were ranked. The scale and its consistency tool were evaluated using Cronbach’s alpha and an Item Response Theory (IRT) model was fitted to explore the discriminatory ability of the scale. As a form of validation, we explored the correlation between the ranking generated by the FSSPT, the African Food Safety Index (AFSI) and Human Development Index (HDI) for African countries.

Results
Cronbach’s alpha was high for the overall scale (0.73). The final IRT model contained a reduced set of four indicators, with self-reporting on food safety and chemical events being the items with the highest discrimination. The FSSPT scale did not correlate with AFSI and showed moderate correlation with HDI.

Conclusion
Despite the reduced set of indicators working well as a scale, the FSSPT seems to be measuring a more general country development trait rather than food safety. More food safety-specific indicators should be included in the scale.
Keywords: food safety, scale, performance evaluation, Africa
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4d0901ac3ea140f08b2bac94ae7c705b","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Title":"Dr.","FirstName":"Silvia","LastName":"Alonso","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Alonso S"},{"PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Title":"Dr","FirstName":"Ana R. S.","LastName":"Oliveira","Position":"2","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Oliveira A"},{"PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Title":null,"FirstName":"Rodolphe","LastName":"Mader","Position":"3","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mader R"},{"PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Title":null,"FirstName":"Maria Francesca","LastName":"Iulietto","Position":"4","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Iulietto M"},{"PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Title":"Prof","FirstName":"Ian","LastName":"Dohoo","Position":"5","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Dohoo I"},{"PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Title":"Dr","FirstName":"Delia","LastName":"Grace","Position":"6","Affiliations":"4,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Grace D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Number":1,"Affiliation":"Animal and Human Health Program, International Livestock Research Institute","City":"Addis Ababa","State":"Addis Ababa","Country":"Ethiopia","AffiliationDisplay":"Animal and Human Health Program, International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Number":2,"Affiliation":"Regional Office for Asia and the Pacific, Food and Agriculture Organization (FAO)","City":"Bangkok","State":null,"Country":"Thailand","AffiliationDisplay":"Regional Office for Asia and the Pacific, Food and Agriculture Organization (FAO), Bangkok, Thailand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Number":3,"Affiliation":"Centre for Veterinary Epidemiological Research, University of Prince Edward Island","City":"Charlottetown","State":null,"Country":"Canada","AffiliationDisplay":"Centre for Veterinary Epidemiological Research, University of Prince Edward Island, Charlottetown, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Number":4,"Affiliation":"Animal and Human Health Program, International Livestock Research Institute","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"Animal and Human Health Program, International Livestock Research Institute, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d047f91-b7f3-4673-921a-cda2fcab3a10","Number":5,"Affiliation":"Natural Resources Institute, University of Greenwich","City":"Kent","State":null,"Country":"United Kingdom","AffiliationDisplay":"Natural Resources Institute, University of Greenwich, Kent, United Kingdom"}],"AuthorsHtml":"Alonso S1, Oliveira A1, Mader R2, Iulietto M1, Dohoo I3, Grace D4,5","AffiliationsHtml":"
1Animal and Human Health Program, International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia
2Regional Office for Asia and the Pacific, Food and Agriculture Organization (FAO), Bangkok, Thailand
3Centre for Veterinary Epidemiological Research, University of Prince Edward Island, Charlottetown, Canada
4Animal and Human Health Program, International Livestock Research Institute, Nairobi, Kenya
5Natural Resources Institute, University of Greenwich, Kent, United Kingdom
"},{"Title":"Data-driven estimation of foodborne disease incidence in Ethiopia","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Html":null,"PlainText":"Objectives
Surveillance of foodborne disease (FBD) remains a challenge worldwide. Available incidence estimates are based on secondary data and expert opinion and suffer from considerable uncertainty, particularly in low- and middle-income countries where the burden of unsafe foods is higher. Accurate estimates of incidence are crucial for efficient allocation of public health resources. We designed an epidemiological framework for the estimation of FBD incidence using primary data and Ethiopia as a pilot country.
Materials and methods
Laboratory, healthcare facility and community cross-sectional surveys were conducted simultaneously in three sites in Ethiopia. Faecal samples from diarrheal patients submitted to three clinical laboratories were tested for selected foodborne pathogens and rates of laboratory confirmed cases were estimated. Data from healthcare facilities on incidence of diarrhea among patients and referral practices; and the community on incidence of diarrhea and healthcare seeking practices were used to adjust incidence rates for under-diagnosis and under-testing.
Results
Between October 2021 and January 2022, 567 faecal samples were submitted; 0.8%, 13.1% and 3.7% were presumptive positive for non-typhoidal Salmonella, shiga toxin-producing Escherichia coli (STEC) and Campylobacter, respectively. Two percent (n=3,960) of individuals in the community had experienced diarrhea in the past 4 weeks, 60% of which sought healthcare, with men more likely to seek healthcare compared to women. Preliminary estimates suggest incidence of Campylobacter and STEC is significantly higher than non-typhoidal Salmonella. Pathogen-specific incidence varies greatly across regions.
Conclusion
Campylobacter and STEC are commonly present in diarrhea stools and their role in FBD may be larger in Ethiopia than previously believed. Results suggest that diarrhea stool screening in laboratories, currently restricted to few pathogens, is likely to provide a biased picture of the principal causes of FBD and should be expanded to include other important but currently overlooked foodborne pathogens.
Keywords: foodborne disease, incidence, Ethiopia, diarrhea","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Alonso S"},{"PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Title":null,"FirstName":"Devin","LastName":"LaPolt","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"LaPolt D"},{"PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Title":null,"FirstName":"Amete","LastName":"Mihret","Position":"3","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Mihret A"},{"PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Title":null,"FirstName":"Binyam Moges","LastName":"Azmeraye","Position":"4","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Azmeraye B"},{"PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Title":null,"FirstName":"Getnet","LastName":"Yimer","Position":"5","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Yimer G"},{"PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Title":null,"FirstName":"Barbara","LastName":"Kowalcyk","Position":"","Affiliations":"5","IsPresenting":false,"SortOrder":6,"DisplayName":"Kowalcyk B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Number":1,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":"Addis Ababa","Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Number":2,"Affiliation":"Center for Foodborne Illness Research and Prevention, The Ohio State University","City":"Columbus","State":"Ohio","Country":"USA","AffiliationDisplay":"Center for Foodborne Illness Research and Prevention, The Ohio State University, Columbus Ohio, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Number":3,"Affiliation":"Ethiopian Public Health Institute","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"Ethiopian Public Health Institute, Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Number":4,"Affiliation":"Global One Health Initiative","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"Global One Health Initiative, Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d082a5a2-7009-4aca-a05b-ec27be581837","Number":5,"Affiliation":"Translational Data Analytics Institute, The Ohio State University","City":"Columbus","State":"Ohio","Country":"USA","AffiliationDisplay":"Translational Data Analytics Institute, The Ohio State University, Columbus Ohio, USA"}],"AuthorsHtml":"Alonso S1, LaPolt D2, Mihret A3, Azmeraye B4, Yimer G4, Kowalcyk B5","AffiliationsHtml":"
1International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia
2Center for Foodborne Illness Research and Prevention, The Ohio State University, Columbus Ohio, USA
3Ethiopian Public Health Institute, Addis Ababa, Ethiopia
4Global One Health Initiative, Addis Ababa, Ethiopia
5Translational Data Analytics Institute, The Ohio State University, Columbus Ohio, USA
"},{"Title":"Systematic literature review of foodborne disease hazards and burden in Ethiopia (1990-2019)","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Html":null,"PlainText":"Objective(s): To summarize literature on foodborne hazards and their associated burden in Ethiopia, identify research gaps and intervention targets.

Materials and methods: A systematic literature review was performed according to Cochrane and PRISMA guidelines. Searches were performed on PubMed and CAB Direct for relevant publications between 1990 and 2019 (inclusive). Observational studies, secondary data analyses, reviews and grey literature were included. Titles and abstracts were screened, and selected publications reviewed in full for quality and data extraction. A metanalysis was not conducted as studies were varied in focus with few similar studies estimating the same parameter.

Results: In total 142 articles met the inclusion criteria. Most studies focused on identification and prevalence of biological and chemical hazards in food. High levels of microbial contamination in different food value chains were often found by the typically small, ad hoc, observational studies. Dairy products, beef, poultry, and eggs were the most commonly studied food products. Raw beef and raw milk were the products reporting higher levels of pathogen contamination. Presence of Listeria monocytogenes, a serious but often overlooked foodborne pathogen, was reported in various foods.
Several important value chains were less frequently studied including vegetables, fruits, crops, fish, sheep, goats, and camel. There were few reports of incidence of human FBD or resulting health and economic impacts. High levels of bacterial contamination on the hands of food processors were widely reported. Foodborne parasites were often found at higher prevalences in food than bacterial and viral pathogens, possibly due to differences in ease of identification.

Conclusion: There are fundamental gaps in the knowledge of food hazards in Ethiopia, particularly regarding FBD incidence and impact. Furthermore, important value chains and pathogens have been neglected. Greater investment in food safety is needed, with enhanced and coordinated research.

Keywords: Foodborne diseases, Value chains, hazards, burden, Ethiopia.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Dr.","FirstName":"Lina","LastName":"Mego","Position":"Research Officer","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Mego L"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Randolph D"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Alonso S"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Knight-Jones T"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Ms.","FirstName":"Florence","LastName":"Mutua","Position":"Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Mutua F"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Mr.","FirstName":"Filipe Miguel","LastName":"Maximiano Alves De Sousa","Position":"Phd Student","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Maximiano Alves De Sousa F"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Ms.","FirstName":"Kristina","LastName":"Roesel","Position":"Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Roesel K"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Lindahl J"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Dr.","FirstName":"Kebede","LastName":"Amenu","Position":"Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":9,"DisplayName":"Amenu K"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Dr","FirstName":"Pattama","LastName":"Ulrich","Position":"PhD fellow","Affiliations":"5","IsPresenting":false,"SortOrder":10,"DisplayName":"Ulrich P"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Dr","FirstName":"Tadesse","LastName":"Guadu","Position":"Lecturer","Affiliations":"6","IsPresenting":false,"SortOrder":11,"DisplayName":"Guadu T"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Mr.","FirstName":"Michel","LastName":"Dione","Position":"Senior Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":12,"DisplayName":"Dione M"},{"PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Title":"Dr","FirstName":"Guy","LastName":"Ilboudo","Position":"Research assistant","Affiliations":"1","IsPresenting":false,"SortOrder":13,"DisplayName":"Ilboudo G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Number":1,"Affiliation":"Animal and Human health, International Livestock Research Institute","City":"Addis Ababa","State":"Addis Ababa State","Country":"Ethiopia","AffiliationDisplay":"Animal and Human health, International Livestock Research Institute, Addis Ababa Addis Ababa State, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Number":2,"Affiliation":"Food Safety Systems, Natural Resources Institute,University of Greenwich","City":"Chatham Maritime","State":"United Kingdom ","Country":"United Kingdom ","AffiliationDisplay":"Food Safety Systems, Natural Resources Institute,University of Greenwich, Chatham Maritime United Kingdom , United Kingdom "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Number":3,"Affiliation":"College of Veterinary Medicine, Addis Ababa University ","City":"Debre Zehit ","State":"Oromia ","Country":"Ethiopia ","AffiliationDisplay":"College of Veterinary Medicine, Addis Ababa University , Debre Zehit Oromia , Ethiopia "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Number":4,"Affiliation":"Veterinary Public Health Institute, University of Bern","City":"Bern","State":"Bern","Country":"Switzerland","AffiliationDisplay":"Veterinary Public Health Institute, University of Bern, Bern Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Number":5,"Affiliation":"Environmental Science Graduate Program, The Ohio State University","City":"Columbus ","State":"Ohaio ","Country":"United states ","AffiliationDisplay":"Environmental Science Graduate Program, The Ohio State University, Columbus Ohaio , United states "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"04d51b71-61dc-4ad6-9c85-964b5b7429c3","Number":6,"Affiliation":"University of Gondar ","City":"Gondar ","State":"Amhara ","Country":"Ethiopia ","AffiliationDisplay":"University of Gondar , Gondar Amhara , Ethiopia "}],"AuthorsHtml":"Mego L1, Randolph D2, Alonso S1, Knight-Jones T1, Mutua F1, Maximiano Alves De Sousa F4, Roesel K1, Lindahl J1, Amenu K3, Ulrich P5, Guadu T6, Dione M1, Ilboudo G1","AffiliationsHtml":"
1Animal and Human health, International Livestock Research Institute, Addis Ababa Addis Ababa State, Ethiopia
2Food Safety Systems, Natural Resources Institute,University of Greenwich, Chatham Maritime United Kingdom , United Kingdom
3College of Veterinary Medicine, Addis Ababa University , Debre Zehit Oromia , Ethiopia
4Veterinary Public Health Institute, University of Bern, Bern Bern, Switzerland
5Environmental Science Graduate Program, The Ohio State University, Columbus Ohaio , United states
6University of Gondar , Gondar Amhara , Ethiopia
"},{"Title":"Estimating the effects of a change in dairy policy on infants’ milk intake in Kenya and Tanzania","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c2f55ac8-98f3-4425-a787-955e6447d0eb","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Html":null,"PlainText":"Objective
Over 70% of consumers in Kenya and Tanzania buy informally marketed unprocessed milk. This milk is preferred as it’s cheaper and sold in volumes matching consumers’ purchasing power. Both countries have formulated policies that restrict the sale of unprocessed milk, favoring the more expensive pasteurized milk. We estimated the potential effects of such policies on household milk allocation to children under 4yrs old.

Methods
We conducted a choice experiment among low-income randomly selected households (n=400) in peri-urban areas in Kenya and Tanzania, that buy unprocessed milk. We asked participants to indicate their best and worst choices among 9 milk allocation scenarios, in response to a hypothetical 40% increase in milk price. The options ranged from adjusting budgets/milk quantities to stopping purchase. We estimated relative importance of each option, grouped the households using latent class analysis(LCA) and characterized each group by socioeconomic factors.

Results
Overall, the preferred option was decreasing the amount of milk purchased and substituting it with cheaper food for children. The less preferred option was stopping milk purchase. LCA classified the households into 3 groups. One group, including mostly households from the highest income tier, preferred increasing their budgets to maintain milk consumption. The second group, with most households in the middle-income tier, preferred decreasing amounts of milk purchased and replacing the shortfall with another food for children. The last group, with most households in the lowest income tier, would decrease purchase and replace with other products for the whole family. Three of top 4 choices involved decreasing milk amounts purchased.

Conclusion
Policies that affect market price of milk could reduce intake of this nutritious product, particularly in low-income households and by children. Consumer responsiveness to prices, preferences, and allocations should be considered by governments when designing market restrictive policies.

Keywords
policy, allocation, dairy, choice experiment","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Title":"Mr.","FirstName":"Emmanuel","LastName":"Muunda","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Muunda E"},{"PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Title":"Dr","FirstName":"Nadhem","LastName":"Mtimet","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Mtimet N"},{"PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Title":"Mr","FirstName":"Francis","LastName":"Wanyoike","Position":"Research Officer","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Wanyoike F"},{"PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Title":"Dr","FirstName":"Paula","LastName":"Dominguez-Salas","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Dominguez-Salas P"},{"PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Affiliations":"4","IsPresenting":true,"SortOrder":5,"DisplayName":"Alonso S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Number":1,"Affiliation":"AHH, International Livestock Research Institute","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"AHH, International Livestock Research Institute, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Number":2,"Affiliation":"International Fund for Agricultural Development","City":"Cairo","State":null,"Country":"Egypt","AffiliationDisplay":"International Fund for Agricultural Development, Cairo, Egypt"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Number":3,"Affiliation":"Natural Resources Institute, University of Greenwich","City":"Kent","State":null,"Country":"United Kingdom","AffiliationDisplay":"Natural Resources Institute, University of Greenwich, Kent, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"853bea4b-8230-4362-9b5f-34bda7630095","Number":4,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":null,"Country":"Ethiopia ","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa, Ethiopia "}],"AuthorsHtml":"Muunda E1, Mtimet N2, Wanyoike F1, Dominguez-Salas P3, Alonso S4","AffiliationsHtml":"
1AHH, International Livestock Research Institute, Nairobi, Kenya
2International Fund for Agricultural Development, Cairo, Egypt
3Natural Resources Institute, University of Greenwich, Kent, United Kingdom
4International Livestock Research Institute, Addis Ababa, Ethiopia
"},{"Title":"Critical elements in the design and implementation of RCTs of complex interventions in animal health and public health ","Bio":"Silvia Alonso is a senior scientist at the International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia. She is a veterinarian with postgraduate training in epidemiology and public health. She holds a MSc in Epidemiology from the London School of Hygiene and Tropical Medicine, a PhD in veterinary public health and is a Diplomate of the European College of Veterinary Public Health. Silvia worked for 5 years as a lecturer at the Royal Veterinary College where she gained experience in teaching and training at undergraduate and postgraduate level, both nationally and internationally. She has more than 15 years of experience in public health research, both in Europe and internationally. Her research looks at the interface between livestock production and human health, including nutrition. During her time at ILRI she has been involved in a range of projects looking at the epidemiology and control of different zoonoses, mainly foodborne, and on strategies for sustainable food safety in informal markets. Her current research explores how to leverage livestock value chains to improve health and nutrition. She is leading the first large-scale field trial of an intervention in informal markets to improve food safety and child nutrition in peri-urban Nairobi. She is a Diplomate of the European College of Veterinary Public Health.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"159ceae0-0007-4d59-844f-a4d29ba5ae8c","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"12_Special Session Part 1: Randomized control trials and the reality of impact evaluations","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"cb8eb400-06f6-49e8-bea2-59d7830fc7e2","Html":null,"PlainText":"Many promising interventions have been rolled out without rigorous evaluation and many have failed to deliver expected impacts. As a result, interest has grown in rigorous evaluation of interventions. Randomized control trials offer the highest level of scientific evidence and are the only study type that provide unquestionable evidence of causality. RCTs are the gold standard in the pharmaceutical industry to provide evidence on the effect of a new drug or product. RCT are also a common study design in the medical field to test the effect and efficacy of health treatments or public health interventions. Their use in the veterinary public health and economics fields is growing rapidly; however, their practical application in low- and middle-income countries presents some challenges. This keynote presentation will discuss key principles underpinning the design of RCTs and examples of their use in evaluations of relevance in veterinary epidemiology and economics.
The keynote will be followed by a panel where experts will present and discuss a wide range of case studies, from station-based trials to field trials of complex interventions, engaging the audience in a conversation around design and compliance, as well as the wider aspects of evidence generation and use.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cb8eb400-06f6-49e8-bea2-59d7830fc7e2","Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Alonso S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb8eb400-06f6-49e8-bea2-59d7830fc7e2","Number":1,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa, Ethiopia"}],"AuthorsHtml":"Alonso S1","AffiliationsHtml":"
1International Livestock Research Institute, Addis Ababa, Ethiopia
"},{"Title":"Milk safety and child nutrition: Impacts of the MoreMilk project’s training scheme for informal dairy vendors","Bio":"","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"53d14c51-98b9-4e1e-86cb-ea478421e8a6","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"13_Special Session Part 2: Randomized control trials and the reality of impact evaluations","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"fe924c69-0c50-4368-9e4c-b34ec5d0bacf","Html":null,"PlainText":"Objective
In Kenya, like most developing countries, majority rely on informal milk markets to meet their dairy needs. In those markets, there are food safety concerns that elicit interventions ranging from policy change to research, aimed at improving the food safety in the value chain. Moremilk project employs cRCT study design to estimate the impact of an intervention on improving food safety on informal dairy markets and promoting increased dairy intake by children.
Methods
Moremilk intervention is a two-arm cluster-randomized control trial. Study clusters were randomly assigned to: Treatment arm (Training, certification, and marketing scheme for vendors); Control arm: Delayed intervention. A baseline survey was conducted and an endline survey will be done for each arm after 12 months targeting same vendors and households. The unit of randomization is a cluster of 1-4 vendors and the households consuming milk from those vendors. The study aims at measuring the effect of the intervention on two primary outcomes: microbiological quality of milk sold by vendors, measured as total bacterial counts (TBC) per mL of milk, and mean dietary adequacy of protein, Ca, and vitamin B12. The vendor surveys include questionnaire modules on operations, milk handling practices, and business performance. The household surveys assess milk and food expenditure, milk handling and consumption practices, and a 24hr dietary recall for an index child.
Impact
A nutrition-sensitive approach to a market-based intervention could potentially increase the consumption of safe, nutritious foods leading to better health outcomes for children. Moremilk intervention is envisaged to reduce TBC in the milk of the vendors offered the intervention compared to a control group. It also envisages increasing the mean adequacy of three micronutrients (calcium, protein and vitamin B12) in the households buying milk from a vendor offered the intervention compared to households buying milk from control group vendors.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fe924c69-0c50-4368-9e4c-b34ec5d0bacf","Title":"Mr.","FirstName":"Emmanuel","LastName":"Muunda","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Muunda E"},{"PresentationId":"fe924c69-0c50-4368-9e4c-b34ec5d0bacf","Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Alonso S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fe924c69-0c50-4368-9e4c-b34ec5d0bacf","Number":1,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi Nairobi, Kenya"}],"AuthorsHtml":"Muunda E1, Alonso S1","AffiliationsHtml":"
1International Livestock Research Institute, Nairobi Nairobi, Kenya
"}],"DisplayName":"Silvia Alonso","TimeDisplay":null},{"ContactId":"a0c6cbdc-8487-4bdc-861b-3d00f37d7084","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Julio","LastName":"Alvarez","Position":"","Organization":"VISAVET, Universidad Complutense","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessing AMR in fish pathogens: are we there yet?","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Html":null,"PlainText":"Antimicrobial resistance (AMR) is major example of the need for a One Health approach given its simultaneous impact on human, animal and environmental health. Major efforts have been invested to characterize the AMR situation in humans and animals, typically with a focus on zoonotic pathogens; comparatively, less information is available for non-zoonotic animal pathogens, and the situation is particularly dire in the case of AMR in fish bacteria due to the existence of major limitations in available methodologies and persistent knowledge gaps. Here, we describe the process followed and the results generated in response to a request from the European Commission to provide a global state of play regarding AMR in in aquatic animals, and to identify the most relevant resistant pathogens for the EU.

The assessment was limited to kept fish species of major economic relevance worldwide (Atlantic salmon, carp, rainbow trout, sea bream and tilapia) and to bacterial pathogens for which standardized methods and internationally harmonized interpretative criteria were available (Aeromonas hydrophila, A. salmonicida, Flavobacterium columnare, and F.psychrophilum). An extensive literature review to retrieve scientific articles and reports providing AMR data on clinical isolates was conducted, and expert opinion was used to assess the relevance of AMR in the four pathogens.

Although AMR F. psychrophilum and A. hydrophila were identified as more relevant, very few studies of sufficient quality were retrieved for all bacterial species, leading to a very large uncertainty in the identification of the most relevant AMR pathogens for the EU. Among the main issues identified were the use of modified methodologies and ad-hoc breakpoints for interpretation of the AMR results.

It is of paramount importance to highlight limitations of previous studies and generate high quality data that can help to update this assessment and make it extensible to other major pathogens affecting aquatic animals. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Title":"Dr.","FirstName":"Julio","LastName":"Alvarez","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Alvarez J"},{"PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Title":"Dr.","FirstName":"Jesus L.","LastName":"Romalde","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Romalde J"},{"PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Title":"Ms.","FirstName":"Verena","LastName":"Oswaldi","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Oswaldi V"},{"PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Title":"Dr.","FirstName":"Francesca","LastName":"Baldinelli","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Baldinelli F"},{"PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Title":"Prof.","FirstName":"Peter","LastName":"Smith","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Smith P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Number":1,"Affiliation":"Visavet, Universidad Complutense","City":"Madrid","State":"Madrid","Country":"Spain","AffiliationDisplay":"Visavet, Universidad Complutense, Madrid Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Number":2,"Affiliation":"Universidad de Santiago de Compostela","City":"Santiago de Compostela","State":"Galicia","Country":"Spain","AffiliationDisplay":"Universidad de Santiago de Compostela, Santiago de Compostela Galicia, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Number":3,"Affiliation":"European Food Safety Authority","City":"Parma","State":null,"Country":"Italy","AffiliationDisplay":"European Food Safety Authority, Parma, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e7d13d47-84c3-4071-8d1c-438a5ac356c7","Number":4,"Affiliation":"National University of Ireland","City":"Galway","State":null,"Country":"Ireland","AffiliationDisplay":"National University of Ireland, Galway, Ireland"}],"AuthorsHtml":"Alvarez J1, Romalde J2, Oswaldi V3, Baldinelli F3, Smith P4","AffiliationsHtml":"
1Visavet, Universidad Complutense, Madrid Madrid, Spain
2Universidad de Santiago de Compostela, Santiago de Compostela Galicia, Spain
3European Food Safety Authority, Parma, Italy
4National University of Ireland, Galway, Ireland
"},{"Title":"Identification of the most relevant antimicrobial-resistant bacteria causing diseases in livestock and companion animals in Europe","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Html":null,"PlainText":"Although antimicrobial resistance (AMR) poses a threat to both human and animal health, official regulations regarding monitoring of AMR bacteria in animals usually focus on zoonotic pathogens. Consequently, there is a paucity of information on AMR distribution for non-zoonotic animal pathogens. Here, we describe the process followed and the results generated in response to a request from the European Commission to provide a global state of play regarding AMR in bacteria causing diseases in cattle, sheep, goats, swine, poultry, horses, rabbits, dogs and cats, and to identify the most relevant resistant pathogens for the EU.

First, from eight to 16 pathogens causing diseases usually treated with antimicrobials and for which AMR concerns exist were identified for each animal species through expert opinion. Second, an extensive literature review was conducted to summarize available AMR data for clinically-relevant antimicrobials for the selected pathogen and animal species. Third, an expert working group identified the most relevant bacteria in each animal species through an Individual and Collective Behavioural Aggregation approach.

The amount of information retrieved varied vastly between pathogens and hosts (most information for cattle and swine, least for rabbits). Even for bacterial species for which abundant AMR data were retrieved, compilation of the evidence was challenging due to differences in methodologies, populations considered, sampling strategies and interpretation criteria used in the published studies.

Between one and three pathogens were identified as most relevant for each animal species except rabbits (E. coli selected in six cases, S. aureus in two). There was a high degree of uncertainty in several cases. Our results demonstrate the difficulties assessing the specific contribution of AMR to the negative effects caused by pathogens in livestock and companion animals, and highlight the need for further research that can help to assess the impact of AMR in animal health and welfare.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":"Dr.","FirstName":"Julio","LastName":"Alvarez","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Alvarez J"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":"Dr.","FirstName":"Dominique J.","LastName":"Bicout","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Bicout D"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":"Dr.","FirstName":"Peter Panduro","LastName":"Damborg","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Damborg P"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":"Mr.","FirstName":"Jeroen","LastName":"Dewulf","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Dewulf J"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Julien","LastName":"Drewe","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Drewe J"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Luca","LastName":"Guardabassi","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Guardabassi L"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Friederike","LastName":"Hilbert","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":7,"DisplayName":"Hilbert F"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Rodolphe","LastName":"Mader","Position":"3","Affiliations":"7","IsPresenting":false,"SortOrder":8,"DisplayName":"Mader R"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Luca","LastName":"Bano","Position":null,"Affiliations":"8","IsPresenting":false,"SortOrder":9,"DisplayName":"Bano L"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Dolores","LastName":"Cid","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":10,"DisplayName":"Cid D"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Peter","LastName":"Davies","Position":null,"Affiliations":"9","IsPresenting":false,"SortOrder":11,"DisplayName":"Davies P"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Alberto","LastName":"Diez-Guerrier","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":12,"DisplayName":"Diez-Guerrier A"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Paloma","LastName":"Diez de Tejada","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":13,"DisplayName":"Diez de Tejada P"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Raphael","LastName":"Guatteo","Position":null,"Affiliations":"10","IsPresenting":false,"SortOrder":14,"DisplayName":"Guatteo R"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":null,"FirstName":"Bart","LastName":"Pardon","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":16,"DisplayName":"Pardon B"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":"Ms.","FirstName":"Verena","LastName":"Oswaldi","Position":null,"Affiliations":"13","IsPresenting":false,"SortOrder":18,"DisplayName":"Oswaldi V"},{"PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Title":"Dr.","FirstName":"Francesca","LastName":"Baldinelli","Position":null,"Affiliations":"13","IsPresenting":false,"SortOrder":19,"DisplayName":"Baldinelli F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":1,"Affiliation":"Universidad Complutense","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"Universidad Complutense, Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":2,"Affiliation":"Univ. Grenoble Alpes, VetAgro Sup, TIMC","City":"Grenoble","State":null,"Country":"France","AffiliationDisplay":"Univ. Grenoble Alpes, VetAgro Sup, TIMC, Grenoble, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":3,"Affiliation":"University of Copenhagen","City":"Copenhagen","State":null,"Country":"Denmark ","AffiliationDisplay":"University of Copenhagen, Copenhagen, Denmark "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":4,"Affiliation":"Ghent University","City":"Ghent ","State":null,"Country":"Belgium ","AffiliationDisplay":"Ghent University, Ghent , Belgium "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":5,"Affiliation":"Royal Veterinary College","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":6,"Affiliation":"University of Veterinary Medicine","City":"Vienna","State":null,"Country":"Austria","AffiliationDisplay":"University of Veterinary Medicine, Vienna, Austria"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":7,"Affiliation":"Food and Agriculture Organization (FAO), Regional Office for Asia and the Pacific","City":"Bangkok","State":null,"Country":"Thailand","AffiliationDisplay":"Food and Agriculture Organization (FAO), Regional Office for Asia and the Pacific, Bangkok, Thailand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":8,"Affiliation":"Istituto Zooprofilattico Sperimentale delle Venezie","City":"Treviso","State":null,"Country":"Italy","AffiliationDisplay":"Istituto Zooprofilattico Sperimentale delle Venezie, Treviso, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":9,"Affiliation":"University of Minnesota","City":"St Paul","State":"Minnesota","Country":"United States of America","AffiliationDisplay":"University of Minnesota, St Paul Minnesota, United States of America"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":10,"Affiliation":"INRAE, Oniris, BIOEPAR","City":"Nantes","State":null,"Country":"France","AffiliationDisplay":"INRAE, Oniris, BIOEPAR, Nantes, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8205bb76-62ff-4462-9bbf-f96ac6ae7986","Number":13,"Affiliation":"European Food Safety Authority (EFSA)","City":"Parma","State":null,"Country":"Italy","AffiliationDisplay":"European Food Safety Authority (EFSA), Parma, Italy"}],"AuthorsHtml":"Alvarez J1, Bicout D2, Damborg P3, Dewulf J4, Drewe J5, Guardabassi L3, Hilbert F6, Mader R7, Bano L8, Cid D1, Davies P9, Diez-Guerrier A1, Diez de Tejada P1, Guatteo R10, Pardon B4, Oswaldi V13, Baldinelli F13","AffiliationsHtml":"
1Universidad Complutense, Madrid, Spain
2Univ. Grenoble Alpes, VetAgro Sup, TIMC, Grenoble, France
3University of Copenhagen, Copenhagen, Denmark
4Ghent University, Ghent , Belgium
5Royal Veterinary College, London, United Kingdom
6University of Veterinary Medicine, Vienna, Austria
7Food and Agriculture Organization (FAO), Regional Office for Asia and the Pacific, Bangkok, Thailand
8Istituto Zooprofilattico Sperimentale delle Venezie, Treviso, Italy
9University of Minnesota, St Paul Minnesota, United States of America
10INRAE, Oniris, BIOEPAR, Nantes, France
13European Food Safety Authority (EFSA), Parma, Italy
"},{"Title":"Patterns of antimicrobial resistance in Salmonella isolates from fattening pigs in Spain from 2001-2013","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"606a7004-0a8b-4317-b142-596fb4934133","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Html":null,"PlainText":"Objective
The current study aimed to provide information about the phenotypic antimicrobial resistance (AMR) profiles found in Salmonella isolates recovered from pigs in Spain from 2001 to 2013 through a nationwide sampling system.

Materials and methods
Information about a total of 1,154 pig Salmonella isolates with minimum inhibitory concentration results for seven antimicrobials (i.e., tetracycline, chloramphenicol, ciprofloxacin, nalidixic acid, gentamicin, florfenicol, and cefotaxime) were acquired. Bayesian smoothing and generalized linear equations evaluated spatial and temporal trends in resistance to individual antimicrobials, respectively, and Bayesian network analysis and hierarchical clustering explored relationships between resistance to different antimicrobials.

Results
Tetracycline resistance across Spanish provinces was the highest (range: 66.7−95.8%), followed by chloramphenicol resistance (8.5−41.1%). The odds of being resistant to chloramphenicol decreased by 8.9% (95% confidence interval: 5.1−12.5%) each year. In the Bayesian network, the conditional probability for an isolate susceptible to ciprofloxacin of being also susceptible to nalidixic acid was 0.999 but only 0.779 if the other way around. Similarly, an isolate susceptible to florfenicol would be expected to be susceptible to chloramphenicol, whereas the conditional probability was only 0.221 for the opposite situation. Hierarchical clustering found six clusters that showed important linkages between certain resistances and serotypes (Figure 1).

Conclusion
Our study demonstrated the power of multivariate statistical methods in disclosing trends and patterns of AMR of public health concern in Salmonella isolates in pigs in Spain.

Keywords: multidrug resistance, Typhimurium, antimicrobial surveillance, Bayesian network analysis, hierarchical clustering
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K"},{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Title":"Prof","FirstName":"Marc","LastName":"Aerts","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Aerts M"},{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Title":"Dr","FirstName":"Stijn","LastName":"Jaspers","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Jaspers S"},{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Title":"Dr","FirstName":"Maria","LastName":"Ugarte-Ruiz","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Ugarte-Ruiz M"},{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Title":"Prof","FirstName":"Miguel A","LastName":"Moreno","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Moreno M"},{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Title":"Dr.","FirstName":"Jose Luis","LastName":"Saez","Position":"5","Affiliations":"5","IsPresenting":false,"SortOrder":6,"DisplayName":"Saez J"},{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Title":"Dr","FirstName":"Soledad","LastName":"Collado","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":7,"DisplayName":"Collado S"},{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Title":"Dr","FirstName":"Cristina","LastName":"de Frutos","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":8,"DisplayName":"de Frutos C"},{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Title":"Prof","FirstName":"Lucas","LastName":"Dominguez","Position":null,"Affiliations":"2,4","IsPresenting":false,"SortOrder":9,"DisplayName":"Dominguez L"},{"PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Title":"Dr.","FirstName":"Julio","LastName":"Alvarez","Position":null,"Affiliations":"2,4","IsPresenting":true,"SortOrder":10,"DisplayName":"Alvarez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Number":1,"Affiliation":"School of Veterinary Medicine, National Taiwan University","City":"Taipei City","State":null,"Country":"Taiwan","AffiliationDisplay":"School of Veterinary Medicine, National Taiwan University, Taipei City, Taiwan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Number":2,"Affiliation":"VISAVET Health Surveillance Centre, Universidad Complutense","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"VISAVET Health Surveillance Centre, Universidad Complutense, Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Number":3,"Affiliation":"Research Institute Center for Statistics, Hasselt University","City":"Hasselt","State":null,"Country":"Belgium","AffiliationDisplay":"Research Institute Center for Statistics, Hasselt University, Hasselt, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Number":4,"Affiliation":"Department of Animal Health, Faculty of Veterinary Medicine, Universidad Complutense","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"Department of Animal Health, Faculty of Veterinary Medicine, Universidad Complutense, Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Number":5,"Affiliation":"Subdirección General de Sanidad e Higiene Animal y Trazabilidad, Dirección General de la Producción Agraria, Ministerio de Agricultura, Pesca y Alimentación","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"Subdirección General de Sanidad e Higiene Animal y Trazabilidad, Dirección General de la Producción Agraria, Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fae82f78-2fdc-4229-ba87-12894d23e5f4","Number":6,"Affiliation":"Laboratorio Central de Veterinaria (LCV Algete), Ministerio de Agricultura, Pesca y Alimentación","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"Laboratorio Central de Veterinaria (LCV Algete), Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain"}],"AuthorsHtml":"Teng K1,2, Aerts M3, Jaspers S3, Ugarte-Ruiz M2, Moreno M4, Saez J5, Collado S5, de Frutos C6, Dominguez L2,4, Alvarez J2,4","AffiliationsHtml":"
1School of Veterinary Medicine, National Taiwan University, Taipei City, Taiwan
2VISAVET Health Surveillance Centre, Universidad Complutense, Madrid, Spain
3Research Institute Center for Statistics, Hasselt University, Hasselt, Belgium
4Department of Animal Health, Faculty of Veterinary Medicine, Universidad Complutense, Madrid, Spain
5Subdirección General de Sanidad e Higiene Animal y Trazabilidad, Dirección General de la Producción Agraria, Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain
6Laboratorio Central de Veterinaria (LCV Algete), Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain
"}],"DisplayName":"Julio Alvarez","TimeDisplay":null},{"ContactId":"bc114672-1f29-4ca2-9f23-1686ca12e951","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Charlotte","LastName":"Appleton","Position":"PhD Student","Organization":"Lancaster University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/13c6173b72664ce78e9fa9166cc9410f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Outbreak of Severe Vomiting in Dogs Associated with a Canine Enteric Coronavirus","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0cb57a4-e82b-4ad8-8753-62079f423f47","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"483b13f7-249c-4a41-bffe-8e6202d4ec71","Html":null,"PlainText":"The main objective of this research is to build a method for real-time anomaly detection in streaming case record data from small animal veterinary practices in the UK.

The dataset is provided by SAVSNET and contains all consult information for 297 practices with an average of 20,000 consults a week dating back to March 2014. The method of analysis chosen for the dataset is Gaussian process regression (GPR). This method lears the covariance structure of an evolving case data timeseries, enabling the classification of future observations into “normal”, “suspect”, and “abnormal”. This method can help highlight anomalies within the data. We ran this method on the consults with a main presenting complaint of Gastroenteric related symptoms.

GPR allows us to account for unstructured seasonality within the case timeseries, such as yearly increased gastroenteric consultation incidence-ing August and December. This method detected a sudden outbreak of gastroenteric illness in dogs in January 2020 and later confirmed by laboratory investigation to be Canine Enteric Coronavirus. The results also showed the effect of the multiple lockdowns in the UK with the veterinary surgeries only seeing very ill animals.

In conclusion, the GPR method was able to detect an outbreak within dogs. However, the GPR is only as good as the data fed into it so there is an issue of it learning from the abnormal data that the multiple lockdowns provided, so this method of choice is the less appropriate one without major alterations to the method through introduction of a lockdown variable.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"483b13f7-249c-4a41-bffe-8e6202d4ec71","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2c388faa910c4a43a468b82579de28dc","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"483b13f7-249c-4a41-bffe-8e6202d4ec71","Title":"Miss","FirstName":"Charlotte","LastName":"Appleton","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Appleton C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"483b13f7-249c-4a41-bffe-8e6202d4ec71","Number":1,"Affiliation":"Lancaster University","City":"Lancaster","State":"Lancashire","Country":"United Kingdom","AffiliationDisplay":"Lancaster University, Lancaster Lancashire, United Kingdom"}],"AuthorsHtml":"Appleton C1","AffiliationsHtml":"
1Lancaster University, Lancaster Lancashire, United Kingdom
"}],"DisplayName":"Charlotte Appleton","TimeDisplay":null},{"ContactId":"b7e08786-7346-4698-84c1-cfb94d8790d4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Juan Carlos","LastName":"Arango Sabogal","Position":"Professor","Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/28295a70070c4023aa8bdb663a05b7e2","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Bayesian Evaluation of Three Serological Tests for Diagnosis of Brucellosis in Dromedary Camels Using Latent Class Models","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Html":null,"PlainText":"Objectives: Our main objective was to estimate the sensitivity (Se) and specificity (Sp) of Buffered plate antigen test (BPAT), Rose Bengal Test (RBT), and indirect ELISA (i-ELISA) for the diagnosis of brucellosis in dromedary camels imported from Sudan to Egypt. The secondary objective was to estimate the true prevalence of brucellosis at the animal level.
Materials and methods: A cross-sectional study was carried out on 921 camels from 25 camel herds, imported from Sudan in the Shalateen area of the Red Sea Governorate, Egypt, between June 2018 and January 2020. Serum samples were collected and analyzed using BPAT, RBT, and i-ELISA. The posterior estimates [medians and 95% Bayesian credible intervals (95% BCI)] for Se and Sp of the three serological tests were obtained using a Bayesian latent class model (BLCM) assuming that BPAT and RBT tests were conditionally dependent on the true brucellosis status of camels.
Results: All tests had comparable and high Se [BPAT=87.6 (79.3 – 96.9); RBT=86.7 (79.1 – 92.8); i-ELISA=87.8 (81.5 – 92.6)] and Sp [BPAT=99.1 (98.3 – 99.6); RBT=99.1 (98.3 – 99.6); i-ELISA=98.7 (97.7 – 99.4)]. The true prevalence of brucellosis was 8.6% (6.8 – 10.7).
Conclusions: All three assays could be used for the initial screening of camel brucellosis. However, the BPAT and RBT are more suitable for control and eradication programs in Egypt because of their lower cost and faster turnaround time compared to the i-ELISA. In addition, BPAT and RBT could be performed in the field where in vivo tests are rarely used due to logistics and management constraints.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Title":"Dr.","FirstName":"Ibrahim","LastName":"Elsohaby","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Elsohaby I"},{"PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Title":"Dr.","FirstName":"Polychronis","LastName":"Kostoulas","Position":"Assistant Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kostoulas P"},{"PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Title":"Dr.","FirstName":"Heba A.","LastName":"Ahmed","Position":"Professor of zoonoses","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Ahmed H"},{"PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Title":"Dr.","FirstName":"Mohamed M.","LastName":"El-Diasty","Position":"Research Scientist","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"El-Diasty M"},{"PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Title":"Mr.","FirstName":"Juan Carlos","LastName":"Arango Sabogal","Position":"Professor","Affiliations":"5","IsPresenting":true,"SortOrder":5,"DisplayName":"Arango Sabogal J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Number":1,"Affiliation":"Department of Infectious Diseases and Public Health, Jockey Club of Veterinary Medicine and Life Sciences, City University of Hong Kong","City":"Kowloon","State":"Hong Kong","Country":"China","AffiliationDisplay":"Department of Infectious Diseases and Public Health, Jockey Club of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Hong Kong, China"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Number":2,"Affiliation":"Laboratory of Epidemiology and Artificial Intelligence, Faculty of Public and One Health, School of Health Sciences, University of Thessaly","City":"Karditsa","State":"Thessaly","Country":"Greece","AffiliationDisplay":"Laboratory of Epidemiology and Artificial Intelligence, Faculty of Public and One Health, School of Health Sciences, University of Thessaly, Karditsa Thessaly, Greece"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Number":3,"Affiliation":"Department of Zoonoses, Faculty of Veterinary Medicine, Zagazig University","City":"Zagazig","State":"Sharqia","Country":"Egypt","AffiliationDisplay":"Department of Zoonoses, Faculty of Veterinary Medicine, Zagazig University, Zagazig Sharqia, Egypt"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Number":4,"Affiliation":"Animal Health Research Institute, Mansoura Provincial Laboratory","City":"Mansoura","State":"Dakahlia","Country":"Egypt","AffiliationDisplay":"Animal Health Research Institute, Mansoura Provincial Laboratory, Mansoura Dakahlia, Egypt"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0801c9ee-0b5e-4c54-b083-286a4fe9fc37","Number":5,"Affiliation":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe Québec, Canada"}],"AuthorsHtml":"Elsohaby I1, Kostoulas P2, Ahmed H3, El-Diasty M4, Arango Sabogal J5","AffiliationsHtml":"
1Department of Infectious Diseases and Public Health, Jockey Club of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Hong Kong, China
2Laboratory of Epidemiology and Artificial Intelligence, Faculty of Public and One Health, School of Health Sciences, University of Thessaly, Karditsa Thessaly, Greece
3Department of Zoonoses, Faculty of Veterinary Medicine, Zagazig University, Zagazig Sharqia, Egypt
4Animal Health Research Institute, Mansoura Provincial Laboratory, Mansoura Dakahlia, Egypt
5Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe Québec, Canada
"},{"Title":"Bayesian accuracy estimates and fit for purpose thresholds of cytology and culture of endometrial swab samples for detecting endometritis in mares","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a72e676e-c7d7-4b76-8c8c-1c734d9b93aa","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.C - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"870b3821-9e6d-4b35-99fc-65068e3cc150","Html":null,"PlainText":"Objectives: 1) To estimate the sensitivity (Se) and specificity (Sp) of cytology and culture of swab samples to detect endometritis in mares, using a Bayesian latent class model (BLCM).
2) To assess the impact of cytology thresholds on misclassification costs.

Materials and methods: Endometrial swab samples collected from 3,448 mares in England between 2014 and 2020 were retrospectively analyzed. Culture results were classified as positive according to three different case definitions: (A) >90% of the growth colonies were a monoculture; (B) identification of pathogenic bacteria; and (C) any growth. Endometrial smears were graded based on the percent of polymorphonuclear cells (PMN)/epithelial cells per high-power field. A hierarchical BLCM was fitted using the cross-tabulated results of the three case definitions with a cytology threshold fixed at >0.5% PMN. Fit for purpose cytology thresholds were explored using a misclassification cost analysis for different endometritis prevalences.

Results: At a threshold of >0.5% PMN, median (95% Bayesian Credible Intervals (BCI)) cytology Se estimates were 6.5% (2.2-11.6), 6.4% (2.2-10.8) and 6.3% (2.2-10.8) while cytology Sp estimates were 88.8% (83.1-94.8), 88.9% (83.9-93.8) and 88.8% (84.0-93.8), for scenarios A, B, and C, respectively. For culture, Se estimates were 37.5% (29.9-46.0), 42.3% (33.8-51.1) and 46.4% (35.7-55.9) while Sp estimates were 92.8% (84.3-99.0), 91.5% (82.5-98.0) and 90.8% (80.1-97.4), for scenarios A, B, and C, respectively. The misclassification cost term decreased as the cytology threshold increased for all scenarios and all prevalence contexts.

Conclusions: Cytology accuracy estimates were lower than previously reported for swab samples in studies using histology as the gold standard. Regardless of the endometritis population prevalence, increasing cytology thresholds would reduce the misclassification costs associated with false-positive mares contributing to good antibiotic stewardship.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"870b3821-9e6d-4b35-99fc-65068e3cc150","Title":"Dr.","FirstName":"Camilla J.","LastName":"Scott","Position":"Associate Veterinary Specialist","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Scott C"},{"PresentationId":"870b3821-9e6d-4b35-99fc-65068e3cc150","Title":"Dr.","FirstName":"Amanda M.","LastName":"de Mestre","Position":"Reader in Reproductive Immunology","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"de Mestre A"},{"PresentationId":"870b3821-9e6d-4b35-99fc-65068e3cc150","Title":"Dr.","FirstName":"Kristien L.","LastName":"Verheyen","Position":"Professor of Veterinary Clinical Epidemiology","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Verheyen K"},{"PresentationId":"870b3821-9e6d-4b35-99fc-65068e3cc150","Title":"Dr.","FirstName":"Juan Carlos","LastName":"Arango Sabogal","Position":null,"Affiliations":"3,4","IsPresenting":true,"SortOrder":4,"DisplayName":"Arango Sabogal J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"870b3821-9e6d-4b35-99fc-65068e3cc150","Number":1,"Affiliation":"Rossdales Veterinary Surgeons","City":"Beaufort Cottage Stables, Newmarket","State":"Suffolk","Country":"United Kingdom","AffiliationDisplay":"Rossdales Veterinary Surgeons, Beaufort Cottage Stables, Newmarket Suffolk, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"870b3821-9e6d-4b35-99fc-65068e3cc150","Number":2,"Affiliation":"Department of Comparative Biomedical Sciences, The Royal Veterinary College, University of London","City":"Brookmans Park","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Department of Comparative Biomedical Sciences, The Royal Veterinary College, University of London, Brookmans Park Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"870b3821-9e6d-4b35-99fc-65068e3cc150","Number":3,"Affiliation":"Department of Pathobiology and Population Sciences, The Royal Veterinary College, University of London","City":"Brookmans Park","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Department of Pathobiology and Population Sciences, The Royal Veterinary College, University of London, Brookmans Park Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"870b3821-9e6d-4b35-99fc-65068e3cc150","Number":4,"Affiliation":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe Québec, Canada"}],"AuthorsHtml":"Scott C1, de Mestre A2, Verheyen K3, Arango Sabogal J3,4","AffiliationsHtml":"
1Rossdales Veterinary Surgeons, Beaufort Cottage Stables, Newmarket Suffolk, United Kingdom
2Department of Comparative Biomedical Sciences, The Royal Veterinary College, University of London, Brookmans Park Hertfordshire, United Kingdom
3Department of Pathobiology and Population Sciences, The Royal Veterinary College, University of London, Brookmans Park Hertfordshire, United Kingdom
4Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe Québec, Canada
"},{"Title":"Date of birth and purchase price as foals or yearlings are associated with race performance in Thoroughbred flat racing","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"728fc0fb-f79e-4bca-97f3-1f37b92b0395","Html":null,"PlainText":"Objectives: To 1) assess the association between date of birth (DOB) and race performance by the end of the 2nd and 3rd year of life in Thoroughbreds racing in flat races in the United Kingdom (UK) and Ireland (IRE), and 2) determine if purchase price as a foal/yearling was associated with race performance.

Methods: In a retrospective cohort study, data on the entire 2014-2015 UK/IRE foal crops were analysed. Negative binomial and zero-inflated negative binomial models were built using directed acyclic graphs to assess the association between DOB and purchase price as foal/yearling, and their race performance by the end of the 2nd and 3rd year of life. The interaction between sex and DOB was explored in the models.

Results: In total 6,666 and 9,456 horses raced in UK/IRE flat racing by the end of their 2nd and 3rd year of life, respectively. Both, total prize money and prize money per start decreased by 3% with every day after January 1st of the corresponding year of birth (both β coefficient = -0.03; 95% CI:\t-0.04, -0.02; P < 0.001). Date of birth was not associated with total number of races by the end of the 2nd or 3rd year of life. Purchase price as foal and yearling was negatively associated with the number of races run, but positively associated with total prize money and prize money per start by the end of the 3rd year of life.

Conclusions: Foals born early in the season had higher earnings by the end of their 2nd and 3rd year of life than foals born later. Differences were more marked among males than females. The most expensive horses sold as foals or yearlings ran fewer races but earned more prize money and prize money per start than less expensive horses.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"728fc0fb-f79e-4bca-97f3-1f37b92b0395","Title":"Mr.","FirstName":"Juan Carlos","LastName":"Arango Sabogal","Position":"Professor","Affiliations":"1,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Arango Sabogal J"},{"PresentationId":"728fc0fb-f79e-4bca-97f3-1f37b92b0395","Title":"Dr.","FirstName":"Rebecca","LastName":"Mouncey","Position":"Phd Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mouncey R"},{"PresentationId":"728fc0fb-f79e-4bca-97f3-1f37b92b0395","Title":"Dr.","FirstName":"Amanda M.","LastName":"de Mestre","Position":"Reader in Reproductive Immunology","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"de Mestre A"},{"PresentationId":"728fc0fb-f79e-4bca-97f3-1f37b92b0395","Title":"Dr.","FirstName":"Kristien L.","LastName":"Verheyen","Position":"Professor of Veterinary Clinical Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Verheyen K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"728fc0fb-f79e-4bca-97f3-1f37b92b0395","Number":1,"Affiliation":"Department of Pathobiology and Population Sciences, The Royal Veterinary College, University of London","City":"Brookmans Park","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Department of Pathobiology and Population Sciences, The Royal Veterinary College, University of London, Brookmans Park Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"728fc0fb-f79e-4bca-97f3-1f37b92b0395","Number":2,"Affiliation":"Department of Comparative Biomedical Sciences, The Royal Veterinary College, University of London","City":"Brookmans Park","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Department of Comparative Biomedical Sciences, The Royal Veterinary College, University of London, Brookmans Park Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"728fc0fb-f79e-4bca-97f3-1f37b92b0395","Number":3,"Affiliation":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe Québec, Canada"}],"AuthorsHtml":"Arango Sabogal J1,3, Mouncey R1, de Mestre A2, Verheyen K1","AffiliationsHtml":"
1Department of Pathobiology and Population Sciences, The Royal Veterinary College, University of London, Brookmans Park Hertfordshire, United Kingdom
2Department of Comparative Biomedical Sciences, The Royal Veterinary College, University of London, Brookmans Park Hertfordshire, United Kingdom
3Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe Québec, Canada
"}],"DisplayName":"Juan Carlos Arango Sabogal","TimeDisplay":null},{"ContactId":"bbff7f13-64ab-42da-857e-0b8f46280c09","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Srikanth","LastName":"Aravamuthan","Position":"graduate student","Organization":"University of Wisconsin","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Portable solutions to Customized Computer Vision Models on Edge Devices – the Example of Detecting Digital dermatitis in Cattle","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e0f7588d-70d9-4b5b-b7e5-b775369cd013","Html":null,"PlainText":"Background, Objectives
Machine Learning and Artificial Intelligence are all around resulting in solutions to everyday tasks. Early automated detection of disease is one of the tasks that computer vision (CV) models can assist with, if well trained on meaningful image data sets and systematically evaluated for prediction performance. The challenge is to scale CV model deployments on portable edge devices, that function in environments challenged by heat, moisture and organic matter.
Digital dermatitis (DD), an endemic infectious claw disease affecting cattle around the globe, demands CV assisted early detection and prompt treatment of affected cattle to result in effective prevention and control measures.

Materials and Methods
Comparison of the prediction performance for multiple Edge devices, among which Raspberry Pi, Jetson Xavier NX, OAK devices (OAK-! And OAK-D-LITE), mobile phones and laptops, is achieved for SSDmobilenet, tiny-yolov4, tflite, and tensoRT models that detect 5 stages of DD: M0, M4H, M4P, M2 and M2P. Model performance is assessed using mAP and fps (frames per second). Comparisons are made visually by graphing the performance metrics and using Cohen’s kappa values computed to quantify the agreement between human investigator and the CV models.

Results
The different fps rates ranged from 5 fps for tiny-yolov4 on the Jeston Xavier NX to 40 fps for SSDmobilenet and object tracking models on the OAK-1 and OAK-D-LITE connected to Raspberry Pi 4B and zero. Implementation during a field trial is ongoing and kappa values will be generated. Kappa values are expected to be lowest for detection of M4H and highest for the detection of M2 and M2P stages of DD.

Conclusions
The portable devices and customized encasements implemented close to cattle, are water and dust resistant, while battery-driven and independent from WiFi, if necessary. Heat abatement of processors is feasible, resulting in devices functional in remote areas.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e0f7588d-70d9-4b5b-b7e5-b775369cd013","Title":"Mrs.","FirstName":"Doerte","LastName":"Doepfer","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Doepfer D"},{"PresentationId":"e0f7588d-70d9-4b5b-b7e5-b775369cd013","Title":"Mrs","FirstName":"Allie","LastName":"Hoerth","Position":"student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Hoerth A"},{"PresentationId":"e0f7588d-70d9-4b5b-b7e5-b775369cd013","Title":"Mr","FirstName":"Juan Francisco","LastName":"Mandujano Reyes","Position":"graudate student","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Mandujano Reyes J"},{"PresentationId":"e0f7588d-70d9-4b5b-b7e5-b775369cd013","Title":"Mr.","FirstName":"Srikanth","LastName":"Aravamuthan","Position":"graduate student","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Aravamuthan S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e0f7588d-70d9-4b5b-b7e5-b775369cd013","Number":1,"Affiliation":"UW-madison","City":"Madison","State":"WI","Country":"USA","AffiliationDisplay":"UW-madison, Madison WI, USA"}],"AuthorsHtml":"Doepfer D1, Hoerth A1, Mandujano Reyes J1, Aravamuthan S1","AffiliationsHtml":"
1UW-madison, Madison WI, USA
"}],"DisplayName":"Srikanth Aravamuthan","TimeDisplay":null},{"ContactId":"9a52a0c4-6320-4cd8-95b3-09d29f06fac0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Julie","LastName":"Arsenault","Position":"Professor","Organization":"Université De Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b41712e9bac0404588d3195d2ea42704","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Honeybee Pathogens and Risk of Winter Losses in Southwestern Quebec","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"512bd4ee-6813-4ba0-892a-b6eff947b5b2","Html":null,"PlainText":"Pathogens, management practices and environmental factors are known to be responsible for in honeybee colony winter losses, but their impacts and interactions at the population level are still poorly documented in North America. Our project aims to estimate the prevalence of honeybee pathogens and to explore their association with winter mortality in Southwestern Quebec, Canada.

Prevalences were estimated for Varroa destructor, Paenibacillus larvae, Melissococcus plutonius, Nosema spp., Acarapis woodi, Deformed wing virus type A (DWV), viruses of the acute bee paralysis/Kashmir bee/Israeli acute paralysis (AKI) complex, Black queen cell virus (BQCV) and Apocephalus borealis in 242 colonies of 31 apiaries of Southwestern Quebec in August 2017. Colony mortality (<4 frames of bees) was registered by beekeepers in May 2018. Impact on winter losses was modeled with logistic regression.

Varroa destructor was detected (alcohol wash) in 48% of colonies and 93% of apiaries, but only 16% of colonies and 49% of apiaries had significant infestation rates of at least 1 mite per 100 bees. Prevalence of positive colonies for other pathogens were: Nosema spp. 40%, M. plutonius 21%, A. borealis 0,4%, DWV 33%, AKI complex 9%, BQCV 95%, A. woodi 0% and P. larvae 0%. The incidence risk of winter mortality was 26.5% (95% Cl = 15.4–40.3). Upon modelling, only V. destructor was individually associated with winter mortality (P = 0.046). An interaction was detected between V. destructor and DWV: DWV-positive colonies with ≥1 varroas mite per 100 bees had 3.46 (95% CL: 1.35-8.90) higher odds of mortality than DWV-positive colonies with less than 1 mite per 100 bees. Population attributable fraction of winter mortality associated to V. destructor was 9%, assuming a causal relationship.

Our results demonstrate that V. destructor is the most important pathogen in southwestern Quebec. Consequently, effective monitoring and mitigation strategies should be continuously promoted.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"512bd4ee-6813-4ba0-892a-b6eff947b5b2","Title":null,"FirstName":"Gabrielle","LastName":"Claing","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":1,"DisplayName":"Claing G"},{"PresentationId":"512bd4ee-6813-4ba0-892a-b6eff947b5b2","Title":null,"FirstName":"Pascal","LastName":"Dubreuil","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Dubreuil P"},{"PresentationId":"512bd4ee-6813-4ba0-892a-b6eff947b5b2","Title":null,"FirstName":"Julie","LastName":"Ferland","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Ferland J"},{"PresentationId":"512bd4ee-6813-4ba0-892a-b6eff947b5b2","Title":null,"FirstName":"Martine","LastName":"Bernier","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Bernier M"},{"PresentationId":"512bd4ee-6813-4ba0-892a-b6eff947b5b2","Title":null,"FirstName":"Yvan","LastName":"L'Homme","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"L'Homme Y"},{"PresentationId":"512bd4ee-6813-4ba0-892a-b6eff947b5b2","Title":null,"FirstName":"Edisleidy","LastName":"Rodriguez","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Rodriguez E"},{"PresentationId":"512bd4ee-6813-4ba0-892a-b6eff947b5b2","Title":"Dr.","FirstName":"Julie","LastName":"Arsenault","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":7,"DisplayName":"Arsenault J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"512bd4ee-6813-4ba0-892a-b6eff947b5b2","Number":1,"Affiliation":"Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Université de Montréal, Saint-Hyacinthe QC, Canada"}],"AuthorsHtml":"Claing G, Dubreuil P, Ferland J, Bernier M, L'Homme Y, Rodriguez E, Arsenault J1","AffiliationsHtml":"
1Université de Montréal, Saint-Hyacinthe QC, Canada
"}],"DisplayName":"Julie Arsenault","TimeDisplay":null},{"ContactId":"b7868898-f458-4258-96bc-6d664890b515","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Pipat","LastName":"Arunvipas","Position":"Associate Professor","Organization":"Kasetsart University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9f38c178e6b54ab590e4f58bedaf810c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The isolation of bacteria causing mastitis and theirs antimicrobial drug sensitivity in dairy cattle raised in western Thailand during year 2011-2020.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"791f6711-f679-4a3f-a672-0c7df75e4923","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"2c23f746-f186-446a-be10-b71cb6e2146a","Html":null,"PlainText":"Objective: the aim of this study was to describe the bacterial pathogen species causing clinical and subclinical bovine mastitis and their antimicrobial drug sensitivity in dairy cattle raised in western Thailand.
Materials and methods: a retrospective study of bacterial isolates and theirs antimicrobial drug sensitivity records during 2011 to 2020 was conducted. A total of 6,825 milk samples from clinical and subclinical bovine mastitis were submitted to the Diagnostic Microbiological Laboratory of Kasetsart Veterinary Teaching Hospital-Nhongpho, Ratchaburi province, Thailand. The proportion of bacterial isolates for each year and their antimicrobial drug sensitivity were reported as descriptive statistics. Test of the association between proportion of bacterial isolates and their antimicrobial drug sensitivity and time period were performed using the Chi-square test.
Results: Bacterial isolates were classified into 7 groups which were environmental streptococci and streptococci-like organisms, gram-positive non-streptococci&staphylococci, coliform, Streptococcus agalactiae, gram-negative-non-coliform, coagulase-negative staphylococci and Staphylococcus aureus. On average, the isolate proportions were 41.15±2.38%, 7.59±1.28%, 6.84±0.66%, 3.67±1.06%, 2.90±0.44%, 2.85±0.53%, 0.80±0.24%, respectively. There was no significant difference of isolate proportions during time period. The antimicrobial drug sensitivity test revealed that amoxycillin and clavulanic acid had the highest antimicrobial efficacy on the 7 bacterial groups. While coliform and gram-negative non-coliform isolates tended to exhibit a resistance to most antimicrobial drugs. When time was considered, antimicrobial drug sensitivity of some bacterial groups significantly differed by time.
Conclusions: environmental streptococci and streptococci-like organisms were major pathogens causing mastitis in dairy cattle raised in western Thailand. While coliform and gram-negative non-coliform tended to exhibit a resistance to all antimicrobial drugs.

Keywords: mastitis, bacterial isolate, drug sensitivity, dairy cattle, Thailand","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2c23f746-f186-446a-be10-b71cb6e2146a","Title":"Dr.","FirstName":"Supachart","LastName":"Panneum","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Panneum S"},{"PresentationId":"2c23f746-f186-446a-be10-b71cb6e2146a","Title":"Dr.","FirstName":"Pipat","LastName":"Arunvipas","Position":"Associate Professor","Affiliations":null,"IsPresenting":true,"SortOrder":2,"DisplayName":"Arunvipas P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c23f746-f186-446a-be10-b71cb6e2146a","Number":1,"Affiliation":"Faculty Of Veterinary Medicine, Kasetsart University","City":"Potharam","State":"Ratchaburi","Country":"Thailand","AffiliationDisplay":"Faculty Of Veterinary Medicine, Kasetsart University, Potharam Ratchaburi, Thailand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c23f746-f186-446a-be10-b71cb6e2146a","Number":2,"Affiliation":"Kasetsart Veterinary teaching hospital Nhongpho, Kasetsart University ","City":"Potharam","State":"Ratchaburi","Country":"Thailand","AffiliationDisplay":"Kasetsart Veterinary teaching hospital Nhongpho, Kasetsart University , Potharam Ratchaburi, Thailand"}],"AuthorsHtml":"Panneum S1,2, Arunvipas P","AffiliationsHtml":"
1Faculty Of Veterinary Medicine, Kasetsart University, Potharam Ratchaburi, Thailand
2Kasetsart Veterinary teaching hospital Nhongpho, Kasetsart University , Potharam Ratchaburi, Thailand
"},{"Title":"Assessment of Genetic diversity of Brucella abortus and Brucella melitensis in Thailand with Multiple-Locus Variable-Number Tandem-Repeat Analysis","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a8eb89c3-7f41-4084-8904-6e26462c49b7","Html":null,"PlainText":"The aim of this study was to assess genetic diversity of Brucella abortus and Brucella melitensis isolated from human and cattle in Thailand using a Multiple-Locus Variable-Number Tandem-Repeat Analysis (MLVA)-16 assay.

The study was a retrospective investigation of isolated Brucella abortus and Brucella melitensis collected from 1995-2018. The study protocol was approved by the Ethics Committees of Kasetsart University. A total of 91 strains were recovered from cattle, sheep and goat and 22 patients. The Brucella strains were isolated and biotypes using standard procedures as the control. Species-level identification was undertaken using Bruce multiplex PCR. Brucella MLVA-16 genotyping Scheme MLVA was performed using 16 primer pairs which were divided into three groups: Panel 1, panel 2A, and panel 2B. PCR products for the 16 loci were denatured and resolved by Analysis of MLVA. Resultant genotypes were compared based on Brucella 2012 MLVA database.

B. abortus isolate diversity was confirmed with the high discriminatory power of the MLVA-16. Panel identification and distribution of Brucella strain. B. abortus were identified as B. abortus bv.3 (58.1%), B. abortus bv.6 (30.6%), and B. abortus bv.1 (11.3%). In sheep and goat, B. melitensis bv.3 were dominated (82.8%), and B. melitensis bv.1 (17.2%). Most human samples were B. melitensis bv. 3 (86.4.%), whereas the others were B. melitensis bv.1 (13.6%). Cluster analysis revealed that genotype of Brucella abortus strains in Thailand were distinct from the strains reported from other Asian countries.

The MLVA-16 strategy was worth using to analyze genetic diversity of Brucella abortus and Brucella melitensis isolated from human and cattle. It was useful to track the geographic origin by comparison of genetic patterns with international isolations.

Keywords: Genetic diversity, Brucella abortus, Brucella melitensis, Multiple-Locus Variable-Number Tandem-Repeat Analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a8eb89c3-7f41-4084-8904-6e26462c49b7","Title":"Dr.","FirstName":"Reka","LastName":"Kanipun","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Kanipun R"},{"PresentationId":"a8eb89c3-7f41-4084-8904-6e26462c49b7","Title":"Dr.","FirstName":"Monaya","LastName":"Ekgatat","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ekgatat M"},{"PresentationId":"a8eb89c3-7f41-4084-8904-6e26462c49b7","Title":"Dr.","FirstName":"Pipat","LastName":"Arunvipas","Position":"Associate Professor","Affiliations":"2","IsPresenting":true,"SortOrder":3,"DisplayName":"Arunvipas P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a8eb89c3-7f41-4084-8904-6e26462c49b7","Number":1,"Affiliation":"Department of Livestock Development","City":"Phyathai","State":"Bangkok","Country":"Thailand","AffiliationDisplay":"Department of Livestock Development, Phyathai Bangkok, Thailand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a8eb89c3-7f41-4084-8904-6e26462c49b7","Number":2,"Affiliation":"Kasetart University","City":"Kamphaengsaen","State":"Nakhon Pathom","Country":"Thailand","AffiliationDisplay":"Kasetart University, Kamphaengsaen Nakhon Pathom, Thailand"}],"AuthorsHtml":"Kanipun R1, Ekgatat M1, Arunvipas P2","AffiliationsHtml":"
1Department of Livestock Development, Phyathai Bangkok, Thailand
2Kasetart University, Kamphaengsaen Nakhon Pathom, Thailand
"},{"Title":"Rapid outbreak distribution and comprehensive diagnoses of the emerged lumpy skin disease caused by the virulent vaccine-recombinant virus in dairy and beef cattle, Thailand","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9ac2015e-e0d6-4cfe-a384-627c7be6aa54","Html":null,"PlainText":"Objectives: The major aims of our study were to describe the distribution of LSD in Thailand and demonstrated complete diagnoses to identify the circulating LSDV during the first outbreak. We also aim to characterize LSDV genetics and phylogenetic relationship between LSDV vaccine and the circulating strains in other countries.

Materials and Methods: Blood and nodular skin samples from 859 affected animals were diagnosed by real-time PCR targeting p32 gene. The significance of sample type was analyzed by Chi-square test (n=111). The virus was isolated by lamb primary cells followed by a cattle cell line and confirmed by immunoperoxidase monolayer assay. LSDV antigens were detected by Immunohistochemistry (IHC). RPO30 and GPCR from five isolates, and a whole genome of the virus were analyzed by DNA sequencing and phylogenetic analysis. Recombination analysis was performed by RDP4 and SimPlot software.

Results: About 50% of LSDV suspected animals were confirmed positive by qPCR. Skin samples showed 10 times positive higher than blood samples (p<0.05). The virus was successfully cultured and caused CPE at 4 days post inoculation. Histopathology showed inclusion bodies in keratinocytes and skin epithelial cells. Genome analysis showed that Thai LSDV isolates were closely related to Vietnamese and Chinese strains. Recombination analysis showed 11 recombination events and suggested that Thai LSDV was likely a vaccine recombinant strain.

Conclusion: This is the first inclusive report on disease distributions and complete LSDV diagnoses during the first wave of LSD outbreak in Thailand. Our study demonstrated rapid and accurate detection methods as well as genetic relationship between LSDV from Thailand and other countries. This study also provides evidence of the vaccine-like LSDV strain in Thailand.

Keywords: Lumpy skin disease, Thailand, Diagnosis, Whole genome, recombinant strain","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9ac2015e-e0d6-4cfe-a384-627c7be6aa54","Title":"Dr.","FirstName":"Nutthakarn","LastName":"Suwankitwat","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Suwankitwat N"},{"PresentationId":"9ac2015e-e0d6-4cfe-a384-627c7be6aa54","Title":"Dr.","FirstName":"Porntipa","LastName":"Lekcharoensuk","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Lekcharoensuk P"},{"PresentationId":"9ac2015e-e0d6-4cfe-a384-627c7be6aa54","Title":"Dr.","FirstName":"Tapanut","LastName":"Songkasupa","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Songkasupa T"},{"PresentationId":"9ac2015e-e0d6-4cfe-a384-627c7be6aa54","Title":"Dr.","FirstName":"Noppawan","LastName":"Buamithup","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Buamithup N"},{"PresentationId":"9ac2015e-e0d6-4cfe-a384-627c7be6aa54","Title":"Dr.","FirstName":"Taweewat","LastName":"Deemagarn","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Deemagarn T"},{"PresentationId":"9ac2015e-e0d6-4cfe-a384-627c7be6aa54","Title":"Dr.","FirstName":"Pipat","LastName":"Arunvipas","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Arunvipas P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9ac2015e-e0d6-4cfe-a384-627c7be6aa54","Number":1,"Affiliation":"Faculty of Veterinary Medicine, Kasetsart University","City":"Kamphaengsaen","State":"Nakhon Pathom","Country":"Thailand","AffiliationDisplay":"Faculty of Veterinary Medicine, Kasetsart University, Kamphaengsaen Nakhon Pathom, Thailand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9ac2015e-e0d6-4cfe-a384-627c7be6aa54","Number":2,"Affiliation":"Department of Livestock Development","City":"Phyathai","State":"Bangkok","Country":"Thailanbd","AffiliationDisplay":"Department of Livestock Development, Phyathai Bangkok, Thailanbd"}],"AuthorsHtml":"Suwankitwat N1, Lekcharoensuk P1, Songkasupa T2, Buamithup N2, Deemagarn T2, Arunvipas P1","AffiliationsHtml":"
1Faculty of Veterinary Medicine, Kasetsart University, Kamphaengsaen Nakhon Pathom, Thailand
2Department of Livestock Development, Phyathai Bangkok, Thailanbd
"}],"DisplayName":"Pipat Arunvipas","TimeDisplay":null},{"ContactId":"71b0961b-8c0d-4f9b-a8ea-96bca52a9d60","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Girma Birhan","LastName":"Asteraye","Position":"Phd Student","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/db87c35483c54b2487c4a025dc43059a","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"Girma Birhan","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"Girma Birhan","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"http://Girma Birhan","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://Girma Birhan","Font":"fab fa-facebook-square","Color":"#3b5998"}],"Bio":null,"Presentations":[{"Title":"Geographical Distribution, Population Dynamics, Biomass and Economic Value of Equids in Ethiopia","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"859eae04-48bf-4b3e-8529-38a8d2df6691","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.B - Epidemiologic studies in specific species (Horses)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"b24eeb76-3fad-4e3b-a00f-6fe62e718c09","Html":null,"PlainText":"Abstract
Objective: Assess population dynamics, distribution, biomass, and economic value of equids in Ethiopia. This will form the basis disease burden estimates with the Global Burden of Animal Diseases (GBADs) project.
Materials and methods: Equine population data were obtained from the Ethiopian Central Statistics Agency and FAOSTAT from 2004 to 2020. Expert opinion and a systematic literature review were used to estimate the asset value of equids, using parameters such as the number of working days, daily rental values, and market value. Descriptive statistics were used to assess population dynamics and GIS techniques were used to map the geographical distribution.
Results: In the past seventeen years, the total Ethiopian equid population increased by 131% from 5.7 to 13.3million with 2.1million horses, 10.7million donkeys, and 3.8thousand mules. Equine populations are unevenly distributed across Ethiopia, although data were lacking in some regions of the country. The per human-capita equine population ranged from 0-0.52, 0-0.129, and 0-0.0196 for donkeys, horses, and mules, respectively. The equid biomass was >7.3 million TLU (250 kg liveweight), 10% of the total livestock biomass of the country. The asset value of equids was USD1,336.7million, accounting for 3.1% of total livestock economic value, and the gross equid services value was USD657.4million, which is 0.66% of Ethiopian 2021 expected GDP.
Conclusion: The Ethiopian equid population has grown steadily over the last two decades. Equids play a central role in transportation and subsistence agriculture in Ethiopia and contribute significantly to the national economy. This pivotal role is insufficiently recognized in national livestock investments.

Keywords: Biomass; Distribution; Economic value; Equine population; and Ethiopia.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b24eeb76-3fad-4e3b-a00f-6fe62e718c09","Title":"Dr.","FirstName":"Girma Birhan","LastName":"Asteraye","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Asteraye G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b24eeb76-3fad-4e3b-a00f-6fe62e718c09","Number":1,"Affiliation":"University of Liverpool","City":"Addis Ababa","State":"Addis Ababa","Country":"Ethiopia","AffiliationDisplay":"University of Liverpool, Addis Ababa Addis Ababa, Ethiopia"}],"AuthorsHtml":"Asteraye G1","AffiliationsHtml":"
1University of Liverpool, Addis Ababa Addis Ababa, Ethiopia
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METHODS: A working group comprised of experts from the federal and provincial governments as well as industry was created. The province of Manitoba was chosen as a case-study because it is the largest pig producing and exporting province in Canada, it also has the most data available on swine production. Working group meetings are held at least twice monthly, during which members discuss and provide input on all aspects of the model: herd and movement data, within-herd transmission parameters, between-herd transmission via direct and indirect contacts and local spread, disease detection and control measures. The model is implemented in InterSpread Plus®, a software designed to simulate the spread of infectious disease among populations.
RESULTS: A successful collaboration was established between veterinary epidemiologists from the federal government, provincial government, and industry experts. Unpublished data that the modeller was unaware of, or that would have otherwise been unavailable or very difficult to obtain, was used to parameterize the model. The animal movement database was used not only to model direct transmission but also to parameterize indirect transmission pathways via rendering trucks movements for example. Data from the on-farm certification program was also used.
CONCLUSION: This collaborative effort resulted not only in an ASF model for Manitoba but also in a greater understanding by all parties of the challenges that disease control represents to both government and industry.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Title":"Dr.","FirstName":"Pascale","LastName":"Aubry","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Aubry P"},{"PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Title":"Dr.","FirstName":"Janessa","LastName":"Brown","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Brown J"},{"PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Title":null,"FirstName":"Jeff","LastName":"Clark","Position":"Director","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Clark J"},{"PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Title":"Dr.","FirstName":"Dale","LastName":"Douma","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Douma D"},{"PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Title":"Dr.","FirstName":"Glen","LastName":"Duizer","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Duizer G"},{"PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Title":null,"FirstName":"Jenelle","LastName":"Hamblin","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Hamblin J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Number":1,"Affiliation":"Canadian Food Inspection Agency","City":"Ottawa","State":"Ontario","Country":"Canada","AffiliationDisplay":"Canadian Food Inspection Agency, Ottawa Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Number":2,"Affiliation":"Canadian Pork Council","City":"Ottawa","State":"Ontario","Country":"Canada","AffiliationDisplay":"Canadian Pork Council, Ottawa Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Number":3,"Affiliation":"Animal Health and Welfare Branch, Government of Manitoba ","City":"Winnipeg","State":"Manitoba","Country":"Canada","AffiliationDisplay":"Animal Health and Welfare Branch, Government of Manitoba , Winnipeg Manitoba, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec03e0ac-9771-4603-a1e5-3541c797c70b","Number":4,"Affiliation":"Manitoba Pork","City":"Winnipeg","State":"Manitoba","Country":"Canada","AffiliationDisplay":"Manitoba Pork, Winnipeg Manitoba, Canada"}],"AuthorsHtml":"Aubry P1, Brown J1, Clark J2, Douma D3, Duizer G3, Hamblin J4","AffiliationsHtml":"
1Canadian Food Inspection Agency, Ottawa Ontario, Canada
2Canadian Pork Council, Ottawa Ontario, Canada
3Animal Health and Welfare Branch, Government of Manitoba , Winnipeg Manitoba, Canada
4Manitoba Pork, Winnipeg Manitoba, Canada
"}],"DisplayName":"Pascale Aubry","TimeDisplay":null},{"ContactId":"a37b68a1-2c39-4f09-8fdf-3e73fbc8f6c3","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Harriet","LastName":"Auty","Position":"","Organization":"University of Glasgow","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"How do we provide effective evidence for policy makers on animal health and outbreak response?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3e92c612-9813-45ad-825f-6027761ab0ac","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.D - Risk Assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"faf95b50-0ad1-4796-a936-cc05d939439a","Html":null,"PlainText":"Objective: EPIC, Scottish Government’s Centre of Expertise on Animal Disease Outbreaks, offers a successful and innovative model for provision of scientific advice and analysis to policy-makers in Scotland. This paper reflects on EPIC as a model for policy-relevant science.

Materials and methods: EPIC is a virtual consortium of researchers in Scotland which, for over ten years, has provided advice and analyses to Scottish Government on preparing for, and responding to, animal disease outbreaks. Here we describe EPIC’s remit and operations, and reflect on case studies which illustrate how this model provides risk-based evidence through rapid access to emergency advice and analyses, estimating disease risks and improving disease detection, assessing different disease control options, and improving future risk resilience. We consider the strengths and challenges of the EPIC model and identify areas or approaches to develop further in the future.

Results and conclusions: Risks to animal health and welfare will continue to evolve and become increasingly complex, requiring transdisciplinary responses. The COVID-19 pandemic has highlighted the challenges of providing and using scientific evidence for policy-making. Trusted relationships, leading to meaningful engagement and co-development of research questions, and strong communication are key to delivering policy-relevant outputs. Activities such as FAIR data curation, and the generation and management of metadata so as to establish and maintain provenance, and thus support analytical transparency and reproducibility are important, and can require considerable resource outlay. The successes and challenges faced by EPIC and its members offer valuable lessons for animal health researchers and authorities working in contingency planning for animal health security in other countries.

Keywords: risk-based evidence, animal health policy, contingency planning, disease outbreaks, risk communication
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1Institute of Biodiversity, Animal Health and Comparative Medicine, University Of Glasgow, Glasgow, UK
2Global Academy of Agriculture and Food Security, University of Edinburgh, Edinburgh, UK
3School of Veterinary Medicine, University of Glasgow, Glasgow, UK
4Biomathematics and Statistics Scotland, Edinburgh, UK
"}],"DisplayName":"Harriet Auty","TimeDisplay":null},{"ContactId":"fd2ca598-3bd4-4c63-9772-8ca25ee14fd1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Amaias","LastName":"Avalos","Position":"Phd Student","Organization":"Anses","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/65404fa7fd9b4df6becdfd45caf9f020","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/amaias-avalos-a9a214129","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/amaias-avalos-a9a214129","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/amaias-avalos-a9a214129","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/amaias-avalos-a9a214129","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Modelling the spread and control of brucellosis in Paraguay: a tool for decision makers","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d7f5a444-f4e2-4203-8634-bc72edf10bcd","Html":null,"PlainText":"Brucellosis is a zoonosis caused by bacteria of the genus Brucella. Bovine brucellosis (BB), caused mainly by Brucella abortus, is associated with abortions, reduced fertility and decreased milk production, resulting in significant economic losses in the cattle industry. In Paraguay, whose main economic activity is cattle raising, brucellosis is an endemic disease and one of the main diseases of cattle. Several control plans were proposed in the past, but their implementation has not been widespread and the disease is still present in a significant part of the farms. The general objective of this work was to develop a brucellosis transmission model to test different disease control scenarios. Specifically, a stochastic compartmental model was developed that takes into account both intra- and inter-farm transmission. The spatialization of the model allowed considering inter-farm transmission at the local level, as well as transmission through livestock movements. Two routes of BB transmission were considered: transmission by direct or indirect contact between animals from different farms at pasture and movement of animals from infected to susceptible locations.
The simulations of the calibrated model have made it possible to establish the current risk map for the appearance and spread of brucellosis in Paraguay. In the future we will use the model to simulate, different disease control scenarios, and provide recommendations to decision makers.

Key words: Cattle, Dynamics of infections in animal populations, Ruminant diseases, Bovine brucellosis, Dynamical modelling.
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1French Agency For Food, Environmental And Occupational Health & Safety (ANSES, Laboratory for Animal Health - Epidemiology Unit, Maisons Alfort Ile De France, France
2Paris Saclay University , Faculté de medecine, Kremlin-Bicêtre Ile De France, France
"}],"DisplayName":"Amaias Avalos","TimeDisplay":null},{"ContactId":"cb980224-4abf-4c61-a917-d24790a7fe58","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mariana","LastName":"Avelino de Souza Santos","Position":"","Organization":"Wageningen University & Research","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Quantifying transmission parameters of SARS-CoV-2 in ferrets and hamsters from experimental transmission studies - a systematic review ","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8768a51c-83cd-4784-ba21-81e123a74337","Html":null,"PlainText":"Assessing SARS-CoV-2 infection and transmission dynamics is possible through susceptible animal models, such as hamsters and ferrets. Currently available experimental infection studies have assessed transmission qualitatively, although they provide data that allows quantitative characterization of transmission through quantification of transmission parameters, i.e., the basic reproduction number (R₀), transmission rate (β), latent period (L) and infectious period (T).
With the aim of conducting a systematic review (PROSPERO registration: CRD42021265934) to collect transmission data and quantify transmission parameters, an electronic search was conducted in two databases and preprint repositories, along with backward and forward citation searches.
We followed PRISMA guidelines and included experimental infection studies in which the design included hamsters or ferrets as models for transmission assessment of SARS-CoV-2. 253 articles were screened, of which 44 were transmission experiments and 14 provided longitudinal data at an animal level.
We found that the β of direct transmission (RT-PCR) in ferrets is 0.60 day-1 (95%CI:0.24-1.46), whereas the β of indirect (RT-PCR) is 0.21 day-1 (95%CI:0.10-0.46). The R₀ is 13.0 (95%CI:3.3-51.5) for direct transmission and 4.0 (95%CI:1.3-12.5) for indirect. The median of the latent period for inoculated ferrets is 2.8 days post infection and for contacts is 5.4 days post exposure, via viral culturing. The median of the infectious period for inoculated ferrets is 11.4 and 6.7 days post infection, while for contacts is 13.0 and 11.2 days post exposure, via RT-PCR and viral culturing, respectively. Similar estimates are being generated for hamsters.
SARS-CoV-2 transmission in ferrets via direct contact occurs faster and is more effective than transmission via indirect contact. Furthermore, the median of the latent period is shorter for inoculated compared to contact animals via viral culturing and the median of the infectious period is also shorter for inoculated compared to contact animals via both RT-PCR and viral culturing.

Keywords: transmission,SARS-CoV-2,hamsters,ferrets","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8768a51c-83cd-4784-ba21-81e123a74337","Title":"Ms.","FirstName":"Mariana","LastName":"Avelino de Souza Santos","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Avelino de Souza Santos M"},{"PresentationId":"8768a51c-83cd-4784-ba21-81e123a74337","Title":"Ms","FirstName":"Iris","LastName":"de Munk","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"de Munk I"},{"PresentationId":"8768a51c-83cd-4784-ba21-81e123a74337","Title":"Dr","FirstName":"Mart","LastName":"de Jong","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"de Jong M"},{"PresentationId":"8768a51c-83cd-4784-ba21-81e123a74337","Title":"Dr","FirstName":"Jose","LastName":"Luis Gonzales Rojas","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Luis Gonzales Rojas J"},{"PresentationId":"8768a51c-83cd-4784-ba21-81e123a74337","Title":"Dr","FirstName":"Michel","LastName":"Jacques Counotte","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Jacques Counotte M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8768a51c-83cd-4784-ba21-81e123a74337","Number":1,"Affiliation":"Wageningen University & Research","City":null,"State":null,"Country":"Netherlands","AffiliationDisplay":"Wageningen University & Research, Netherlands"}],"AuthorsHtml":"Avelino de Souza Santos M1, de Munk I1, de Jong M1, Luis Gonzales Rojas J1, Jacques Counotte M1","AffiliationsHtml":"
1Wageningen University & Research, Netherlands
"},{"Title":"The incursion risk of African swine fever for The Netherlands by human-mediated routes","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fb4e9c00-839f-4ce3-a0c7-98491f948e9f","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.D - Epidemiology of African Swine Fever","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"5f3b550c-8ec1-4480-8987-f70b875a1c70","Html":null,"PlainText":"African swine fever (ASF) is a viral disease with serious health effects for both domestic pigs and wild boar. So far (January 2022), ASF has not been detected in pigs or wild boar in The Netherlands, but the risk of introduction is deemed to increase with more countries in Europe reporting ASF outbreaks. More insight into the potential introduction routes of ASF in new areas, especially via human action, is needed to take effective measures to prevent introduction of ASF. The current study was initiated with the aim to assess the risk of exposure of domestic pigs and wild boar in The Netherlands, via four human-mediated introduction routes: (1) Hunters hunting in ASF-infected countries and returning with a wild boar carcass or meat, (2) travelers taking pork products from ASF-infected countries, (3) truck drivers discarding pork products from ASF-infected countries on parking places, and (4) farm workers at pig farms carrying pork products from ASF-infected countries.

A quantitative risk model was built, that estimated the expected annual number of entries of ASF-infected pork products into The Netherlands, and the expected annual number of exposures of domestic pigs and wild boar to these products for each introduction route. Results of the model indicate which introduction route is most important for introduction of ASF and which pig populations are most at risk. The model can also be used to estimate the effectiveness of preventive measures.

First results show that truck drivers and travelers pose a higher risk for entry and exposure of ASF in the Netherlands than farm workers and hunters. The majority of the exposures is expected in wild boar. Uncertainty analysis indicated that the model output was robust in ranking the introduction routes.

We therefore conclude that the model is a useful tool to prioritize introduction routes for risk management.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5f3b550c-8ec1-4480-8987-f70b875a1c70","Title":"Dr.","FirstName":"Manon","LastName":"Swanenburg","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Swanenburg M"},{"PresentationId":"5f3b550c-8ec1-4480-8987-f70b875a1c70","Title":"Dr.","FirstName":"Clazien","LastName":"De Vos","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"De Vos C"},{"PresentationId":"5f3b550c-8ec1-4480-8987-f70b875a1c70","Title":null,"FirstName":"Michiel","LastName":"Kroese","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Kroese M"},{"PresentationId":"5f3b550c-8ec1-4480-8987-f70b875a1c70","Title":null,"FirstName":"Mariana","LastName":"Avelino de Souza Santos","Position":null,"Affiliations":null,"IsPresenting":true,"SortOrder":4,"DisplayName":"Avelino de Souza Santos M"},{"PresentationId":"5f3b550c-8ec1-4480-8987-f70b875a1c70","Title":"Dr.","FirstName":"Tosca","LastName":"Ploegaert","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Ploegaert T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5f3b550c-8ec1-4480-8987-f70b875a1c70","Number":1,"Affiliation":"Wageningen Bioveterinary Research","City":"Lelystad","State":"Flevoland","Country":"Netherlands","AffiliationDisplay":"Wageningen Bioveterinary Research, Lelystad Flevoland, Netherlands"}],"AuthorsHtml":"Swanenburg M1, De Vos C1, Kroese M1, Avelino de Souza Santos M, Ploegaert T1","AffiliationsHtml":"
1Wageningen Bioveterinary Research, Lelystad Flevoland, Netherlands
"}],"DisplayName":"Mariana Avelino de Souza Santos","TimeDisplay":null},{"ContactId":"5f69ee54-8fc6-452f-95b2-5cfc82c14111","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Rachelle","LastName":"Avigad","Position":"","Organization":"APHA","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Developing a National Bovine Tuberculosis Epidemiology Team ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"63ca6892-44ee-471f-af87-d36a5e2d0908","Html":null,"PlainText":"Objective
The importance of epidemiology in tackling disease outbreaks is widely recognised in both animal and public health settings. In Great Britain (GB), a government-led National Emergency Epidemiology Group responds to outbreaks of exotic notifiable disease in animals. This virtual team seeks to understand and advise on the source and spread of disease as well as inform the selection and implementation of control strategies. This work describes the process of setting up a similar group for an endemic notifiable disease in animals, bovine tuberculosis (bTB).

Materials and Methods
The first step was to identify the key participants of such a group. There are many elements to epidemiological investigation, analysis and interpretation for provision of advice. These include quantitative epidemiology, surveillance, modelling, data science, geographical information systems and field epidemiology activities. Representatives from these fields were identified and invited to join from across the GB administrations.

Objectives of the group were then formulated considering the national bTB control policies and utilising the diverse expertise and knowledge of the team. These included:
•Review of the current suite of epidemiological reports
•Epidemiological input to the use of whole genome sequencing in understanding transmission pathways
•Input to the evaluation of surveillance and control strategies
•Knowledge transfer and communication of epidemiological activities.

Results
Meetings were initially held monthly and then reduced to bi-monthly. A set but evolving agenda included review of top challenges and updates on current activities. Recent additions include an agenda item on emerging epidemiological findings and a focus topic for discussion. Scientific project management support was critical for communication across the group.

Conclusion
The team has completed its second year in operation. Achievements identified so far include improvements to the coherence and content of epidemiological reports and closer working between analytical epidemiology and field colleagues on requests for policy advice.

Keywords:disease control","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"63ca6892-44ee-471f-af87-d36a5e2d0908","Title":"Ms.","FirstName":"Rachelle","LastName":"Avigad","Position":"","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Avigad R"},{"PresentationId":"63ca6892-44ee-471f-af87-d36a5e2d0908","Title":"Ms","FirstName":"Jessica","LastName":"Parry","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Parry J"},{"PresentationId":"63ca6892-44ee-471f-af87-d36a5e2d0908","Title":"Ms","FirstName":"Hannah","LastName":"Marriott","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Marriott H"},{"PresentationId":"63ca6892-44ee-471f-af87-d36a5e2d0908","Title":"Mrs","FirstName":"Susanne","LastName":"Frost","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Frost S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"63ca6892-44ee-471f-af87-d36a5e2d0908","Number":1,"Affiliation":"APHA","City":"Addlestone","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"APHA, Addlestone Surrey, United Kingdom"}],"AuthorsHtml":"Avigad R, Parry J, Marriott H, Frost S","AffiliationsHtml":"
1APHA, Addlestone Surrey, United Kingdom
"}],"DisplayName":"Rachelle Avigad","TimeDisplay":null},{"ContactId":"68a11fe0-a4c1-46a2-8273-b295188eb8bf","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lina","LastName":"Awada","Position":"Veterinary Epidemiologist","Organization":"OIE","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e5de0a0f673e4312afe3d8506ac87adc","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Quantifying time-dependent predictors for the international spatial spread of Highly Pathogenic Avian Influenza H5NX - focus on trade and surveillance efforts","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0791157-2a58-4eff-83c4-05e358114fbc","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.E - Epidemiology of avian influenza","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Html":null,"PlainText":"Since its identification, there has been four waves of intercontinental transmission of the H5Nx Gs/GD lineage virus. This indicates its resistance to attempts at control or prevention. A better understanding of the predictors of HPAI international spread through time will help identify strengths as well as areas for improvement in controlling HPAI.

To do so, we used 16 years of data with high temporal granularity from OIE, UN, IUCN and genetic databases for 2.2., 2.3.2.1c and 2.3.4.4b H5Nx clades. The objective was to determine the impact on international viral spread of: 1) 6 categories of poultry commodities of legal international trade, 2) wild birds’ migration, 3) 5 types of preventive measures implemented by national veterinary services, 4) resources allocated to veterinary services and 5) distance between countries. Phylogeographic inference coupled with GLM with time dependent coefficients was considered the most appropriate method to run this study and was applied to targeted countries with available data. It was completed by a GLMM based on epidemiological, trade and bird migration data only, that was available for all targeted countries.

The main conclusions of this study are: 1) no significant association was found between poultry legally traded and HPAI spread; 2) results suggested a role of migratory birds in disease spread for all clades; 3) results for distance and control at borders suggested a role of informal trade in disease spread for clades 2.3.2.1c and 2.3.4.4b; and 4) results for distance suggested a role of wild birds’ movements (and other human and animal movements) across short distances in disease spread for all clades.

Our findings show the importance of proper implementation of preventive measures, as advocated in the OIE standards. Moreover, they show the complementarity of epidemiological, trade, biological and viral genetic data to trace back international viral spread and understand its predictors.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Title":"Mrs.","FirstName":"Lina","LastName":"Awada","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Awada L"},{"PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Title":"Dr","FirstName":"Bram","LastName":"Vrancken","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Vrancken B"},{"PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Title":"Dr","FirstName":"Julien","LastName":"Thézé","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Thézé J"},{"PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Title":"Dr","FirstName":"Christian","LastName":"Ducrot","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Ducrot C"},{"PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Title":"Dr","FirstName":"Paolo","LastName":"Tizzani","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Tizzani P"},{"PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Title":"Dr","FirstName":"Simon","LastName":"Dellicour","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Dellicour S"},{"PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Title":"Dr","FirstName":"Alice","LastName":"Fusaro","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":7,"DisplayName":"Fusaro A"},{"PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Title":"Dr","FirstName":"Karine","LastName":"Chalvet-Monfray","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":8,"DisplayName":"Chalvet-Monfray K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Number":1,"Affiliation":"World Animal Health Information and Analysis Department, World Organisation for Animal Health","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"World Animal Health Information and Analysis Department, World Organisation for Animal Health, Paris, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Number":2,"Affiliation":"Lyon University, UMR EPIA, INRAE VetAgro Sup, 69280, Marcy l’Etoile, France Clermont Auvergne University, UMR EPIA, INRAE VetAgro Sup","City":"Saint-Genes-Champanelle","State":null,"Country":"France","AffiliationDisplay":"Lyon University, UMR EPIA, INRAE VetAgro Sup, 69280, Marcy l’Etoile, France Clermont Auvergne University, UMR EPIA, INRAE VetAgro Sup, Saint-Genes-Champanelle, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Number":3,"Affiliation":"KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Division of Clinical and Epidemiological Virology","City":"Leuven","State":null,"Country":"Belgium","AffiliationDisplay":"KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Division of Clinical and Epidemiological Virology, Leuven, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Number":4,"Affiliation":"Spatial Epidemiology Lab, Université Libre de Bruxelles","City":"Brussels","State":null,"Country":"Belgium","AffiliationDisplay":"Spatial Epidemiology Lab, Université Libre de Bruxelles, Brussels, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Number":5,"Affiliation":"UMR ASTRE, Univ Montpellier, CIRAD, INRAE","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"UMR ASTRE, Univ Montpellier, CIRAD, INRAE, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aae82999-9ef6-4ac5-a04c-3ff7654ee115","Number":6,"Affiliation":"Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe)","City":"Legnaro","State":null,"Country":"Italy","AffiliationDisplay":"Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, Italy"}],"AuthorsHtml":"Awada L1,2, Vrancken B3, Thézé J2, Ducrot C5, Tizzani P1, Dellicour S4, Fusaro A6, Chalvet-Monfray K2","AffiliationsHtml":"
1World Animal Health Information and Analysis Department, World Organisation for Animal Health, Paris, France
2Lyon University, UMR EPIA, INRAE VetAgro Sup, 69280, Marcy l’Etoile, France Clermont Auvergne University, UMR EPIA, INRAE VetAgro Sup, Saint-Genes-Champanelle, France
3KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Division of Clinical and Epidemiological Virology, Leuven, Belgium
4Spatial Epidemiology Lab, Université Libre de Bruxelles, Brussels, Belgium
5UMR ASTRE, Univ Montpellier, CIRAD, INRAE, Montpellier, France
6Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, Italy
"}],"DisplayName":"Lina Awada","TimeDisplay":null},{"ContactId":"d7a89c1f-bb39-4743-8728-00bf94a918c2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Babafela","LastName":"Awosile","Position":"Assistant Professor","Organization":"Texas Tech University School of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/650c2b1f531d457e8fb24797fc72bbdf","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Comparing antimicrobial-resistant Salmonella enterica between serotypes, surveillance programs, surveillance period, and food animal sources in the United States (2014-2018): Where is the resistance coming from?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8843ea3e-07e1-4949-9146-59cb5f6a796f","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"67e9e434-ae7d-4612-99d2-78fa48139d42","Html":null,"PlainText":"Objectives: This study aimed to compare the antimicrobial-resistant Salmonella enterica reported from the three surveillance programs in the United States i.e., Cecal, HACCP, and retail meat surveillance programs using 2014-2018 surveillance data.
Materials and methods: Antimicrobial resistance data on 29 major Salmonella serotypes and associated sources (Cattle, Swine, Chicken, and Turkey) from three surveillance programs were extracted from the website of the United States National Antimicrobial Resistance Surveillance System. Using multivariable logistic regression models, we compared individual and multi-drug resistance (MDR) in Salmonella enterica between the three surveillance programs, food animal sources, surveillance period, and Salmonella serotypes.
Results: Across the three surveillance programs and over the study period, the recovery of antimicrobial-resistant Salmonella enterica between the food animal sources were dependent on the surveillance year for all the selected antimicrobials including MDR, MDR-AmpC, and ACSSuT. Salmonella resistance to ceftriaxone, sulfisoxazole, streptomycin, tetracycline, cefoxitin, MDR-AmpC, and MDR significantly decreased over the five years in turkey sources compared with cattle sources (P<0.05). While resistance to sulfisoxazole, streptomycin, tetracycline, chloramphenicol, MDR, and ACSSuT significantly increased with time in chicken sources compared with cattle sources (P<0.05). Resistance to ampicillin, sulfisoxazole, streptomycin, chloramphenicol, and MDR significantly increased with time in swine sources compared with cattle sources (P<0.05). MDR-Salmonella enterica was less likely recovered from HACCP (OR: 0.86, 95%CI; 0.75-0.99) and retail meat (OR: 0.83, 95%CI; 0.69-0.99) programs compared with the cecal program. Except for Salmonella serotypes Dublin and Newport, most of the Salmonella serotypes were less likely resistant to the antimicrobials compared with serotype Typhimurium. Serotypes Dublin (OR: 8.96, 95%CI; 5.19-10.55) and Newport (OR: 6.58, 95%CI; 4.11-10.05) were more likely MDR-AmpC compared with serotype Typhimurium.
Conclusion: Antimicrobial-resistant Salmonella enterica recovered from chicken sources shown increased trend over the study period, while Salmonella serotypes Dublin and Newport were commonly multi-drug resistant.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"67e9e434-ae7d-4612-99d2-78fa48139d42","Title":"Dr.","FirstName":"Babafela","LastName":"Awosile","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Awosile B"},{"PresentationId":"67e9e434-ae7d-4612-99d2-78fa48139d42","Title":"Dr.","FirstName":"Md.Kaisar","LastName":"Rahman","Position":"PhD Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Rahman M"},{"PresentationId":"67e9e434-ae7d-4612-99d2-78fa48139d42","Title":"Dr.","FirstName":"Gizem","LastName":"Levent","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Levent G"},{"PresentationId":"67e9e434-ae7d-4612-99d2-78fa48139d42","Title":"Dr.","FirstName":"Ryan","LastName":"Williams","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Williams R"},{"PresentationId":"67e9e434-ae7d-4612-99d2-78fa48139d42","Title":"Dr.","FirstName":"Guy","LastName":"Loneragan","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Loneragan G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"67e9e434-ae7d-4612-99d2-78fa48139d42","Number":1,"Affiliation":"Texas Tech University School Of Veterinary Medicine","City":"Amarillo","State":"TX","Country":"USA","AffiliationDisplay":"Texas Tech University School Of Veterinary Medicine, Amarillo TX, USA"}],"AuthorsHtml":"Awosile B1, Rahman M1, Levent G1, Williams R1, Loneragan G1","AffiliationsHtml":"
1Texas Tech University School Of Veterinary Medicine, Amarillo TX, USA
"},{"Title":"Systematic review and meta-analysis of blaCTX-M-15 and blaCMY-2 in Enterobacteriaceae across one health interface in United States","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f6114254-040a-4fdf-827c-cf48ec27a366","Html":null,"PlainText":"Objectives: This study aimed to review the distribution of blaCTX-M-15 and blaCMY-2 beta-lactamase genes in Enterobacteriaceae in the United States and to determine the proportion estimates of these resistance genes.
Materials and Methods: A literature search for eligible articles was done through PubMed, Google Scholars, and internal university electronic databases. Pooled proportions of the resistance genes in Enterobacteriaceae were done using random effect meta-analysis.
Results: Fifty-three studies conducted in United States and published between 1996 and 2020 were included in this review. These articles include studies conducted mostly on Escherichia coli, Salmonella spp., and Klebsiella spp. Both blaCTX-M-15 and blaCMY-2 genes were detected in Enterobacteriaceae from human, food producing animals, dog/cat, and environment. While ST131 was the most reported E. coli sequence type associated with blaCTX-M-15, IncF and Incl1/2 plasmids were commonly reported to be associated with blaCTX-M-15 and blaCMY-2 in E. coli respectively. Based on 25 studies, the overall pooled proportion of blaCTX-M-15 producing E. coli in human data was 22.8% (95%CI: 9.5-45.3), 9.2% (95%CI: 2.9-25.6) for the animal, and 2.9% (95%CI: 0.4-18.1) for the environment. Based on 7 studies, the overall pooled proportion of blaCTX-M-15 producing Klebsiella spp. in human was 21.2% (95%CI: 6.1-52.5). Based on 29 studies, the overall pooled proportion of blaCMY-2 producing E. coli in human was 3.5% (95%CI: 0.3-3.31), 56.2% (95%CI: 34.7-75.5) for the animal, and 2.3% (95%CI: 0.6-8.8) for the environment. Based on 10 studies, the overall pooled proportion of blaCMY-2 producing Salmonella spp. in human data was 1.0% (95%CI: 0.1-1.0), 71.3% (95%CI: 15.7-97.1) for the animal, and 7.7% (95% CI: 2.9-18.8) for the environment.
Conclusion: This study has provided information on the distribution of important beta-lactamase genes in the United States. This is necessary for better understanding of one health and molecular epidemiology of these genes both in United States and globally.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f6114254-040a-4fdf-827c-cf48ec27a366","Title":"Dr.","FirstName":"Kaisar","LastName":"Rahman","Position":"PhD Student","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Rahman K"},{"PresentationId":"f6114254-040a-4fdf-827c-cf48ec27a366","Title":"Dr.","FirstName":"Howard","LastName":"Rodriguez-Mori","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Rodriguez-Mori H"},{"PresentationId":"f6114254-040a-4fdf-827c-cf48ec27a366","Title":"Dr.","FirstName":"Babafela","LastName":"Awosile","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Awosile B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6114254-040a-4fdf-827c-cf48ec27a366","Number":1,"Affiliation":"Texas Tech University School Of Veterinary Medicine","City":"Amarillo","State":"TX","Country":"USA","AffiliationDisplay":"Texas Tech University School Of Veterinary Medicine, Amarillo TX, USA"}],"AuthorsHtml":"Rahman K1, Rodriguez-Mori H1, Awosile B1","AffiliationsHtml":"
1Texas Tech University School Of Veterinary Medicine, Amarillo TX, USA
"}],"DisplayName":"Babafela Awosile","TimeDisplay":null},{"ContactId":"e51afd66-dd5b-4d87-875c-b6c56f8048ec","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gezahegn Alemayehu","LastName":"Ayalew","Position":"Research officer","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ffe31ec69e7b4d11828c251ee557f562","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Development and validation of animal welfare knowledge, attitude, and practice assessment tool among smallholder farmers in Ethiopia","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Html":null,"PlainText":"Objective: To develop and validate an assessment tool to measure knowledge, attitude, and practice (KAP) towards animal welfare among smallholder farmers in Ethiopia.
Materials and methods: This study was conducted among smallholder crop-livestock farmers and pastoralists in four districts of Ethiopia. The KAP questions covered a range of species and welfare topics including health and nutrition, resource availability, and behavioral and mental state dimensions of animal welfare. Item response theory models were fitted to the data from reliable items to estimate the probability of correctly answering an item as a function of the respondents’ KAP level. Graphs depicting the discriminating ability and precision of an item across different levels of the latent trait were plotted.
Results: A total of 197 respondents provided information on the set of 34 animal welfare KAP items. Overall, the highest correct mean score was recorded for the attitude section (77%) and the lowest was recorded for practice (25%). From the evaluation, the majority of the items from the Animal welfare KAP fit well with the scale. The discriminating ability of the scales was varied across the latent ability of the respondents. The knowledge and practice scale did well at identifying smallholder farmers with average and above-average trait levels while the attitude scale did well at discriminating between smallholder farmers with average and below-average trait levels. Crop-livestock farmers had a better animal welfare knowledge level than pastoralists (P<0.001). Many of the items in the knowledge section responded differently between crop-livestock farmers and pastoralists which shows the lack of an equal understanding of animal welfare among these groups.
Conclusion: The developed questionnaire had a satisfactory psychometric property for measuring animal welfare KAP in Ethiopian smallholder farmers. This tool will be used to measure the impact of current and future intervention.
Key Words: Animal welfare, Ethiopia, Unidimensional, Questionnaire
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Title":"Dr.","FirstName":"Gezahegn Alemayehu","LastName":"Ayalew","Position":"Research officer","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ayalew G"},{"PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Title":"Dr.","FirstName":"Tsega","LastName":"Berhe","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Berhe T"},{"PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Title":"Dr","FirstName":"Barbara","LastName":"Wieland","Position":"Principal Scientist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Wieland B"},{"PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Title":"Dr.","FirstName":"Eyob","LastName":"Gelan","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Gelan E"},{"PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Knight-Jones T"},{"PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Title":"Dr.","FirstName":"Rebecca","LastName":"Doyle","Position":"Deputy Director of the Jeanne Marchig International Centre for Animal Welfare Education (JMICAWE)","Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Doyle R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Number":1,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":"Addis Ababa","Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Number":2,"Affiliation":"Institute of Virology and Immunology (IVI)","City":"Mittelhäusern","State":null,"Country":"Swaziland ","AffiliationDisplay":"Institute of Virology and Immunology (IVI), Mittelhäusern, Swaziland "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f9bd56b7-8310-4df0-b858-8901f890b57d","Number":3,"Affiliation":"Jeanne Marchig International Centre for Animal Welfare Education (JMICAWE), University of Edinburgh","City":null,"State":null,"Country":"United Kingdoms ","AffiliationDisplay":"Jeanne Marchig International Centre for Animal Welfare Education (JMICAWE), University of Edinburgh, United Kingdoms "}],"AuthorsHtml":"Ayalew G1, Berhe T1, Wieland B2, Gelan E1, Knight-Jones T1, Doyle R3","AffiliationsHtml":"
1International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia
2Institute of Virology and Immunology (IVI), Mittelhäusern, Swaziland
3Jeanne Marchig International Centre for Animal Welfare Education (JMICAWE), University of Edinburgh, United Kingdoms
"},{"Title":"Seroprevalences and risk factors for abortion causing zoonotic agents in small ruminant production systems in Ethiopia","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a16a66a7-b71c-46e1-924e-61f777a167f6","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Html":null,"PlainText":"Objective: To estimate seroprevalence and risk factors for key zoonotic abortion-causing pathogens in small ruminants in three production systems in Ethiopia.
Material and methods: A cross-sectional study were conducted between July 2018 to February 2019 in five districts of Ethiopia representing three different production systems (Pastoral, Agropastoral, Mixed crop-livestock). A total of 1,402 serum samples were collected and tested for the presence antibodies for four abortion causing pathogens (Coxiella burnetii, Brucella spp., Chlamydia abortus and Toxoplasma gondii). These pathogens cause a range of symptoms in humans including fever, abortion, respiratory disease, encephalitis and death.
Results: From the samples tested there were 231 (16 %) seropositive for C. burnetii, 95 (7%) for Brucella spp., 124 (9%) for C. abortus and 137 (11%) for T. gondii. Multilevel mixed-effects logistic regression modelling showed an animal’s risk of C. burnetii seropositivity increased by 4.16(P≤0.001) time in agropastoral production system than mixed crop-livestock. Agroecology, housing type and birth product disposal practices significantly affected odds of Brucella spp. seropositivity. The presence of dogs in the household and housing type were risk factors C. abortus infection. Seroprevalence of T. gondii was significantly affected by age of the animals, flock mix and grazing pastureland ownership. This study found three-quarters of animals were seropositive for more than one of the four pathogens tested.
Conclusion: Infectious causes of zoonotic abortion are highly prevalent in Ethiopian sheep and goats and will cause major losses across the major production systems. As well as production losses through abortion and impaired reproductive performance these pathogens pose a major public health risk to producers and their households, as well as to consumers and the wider community.
Key words: Abortion; Co-infection; Goat; Multi-pathogens; Risk factors, Sheep

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Title":"Dr.","FirstName":"Gezahegn","LastName":"Ayalew","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ayalew G"},{"PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Title":"Dr. ","FirstName":"Barbara","LastName":"Wieland","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Wieland B"},{"PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Title":"Prof.","FirstName":"Gezahegne","LastName":"Mamo","Position":"Department head ","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Mamo G"},{"PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Title":"Dr.","FirstName":"Hiwot ","LastName":"Desta ","Position":"Research officer ","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Desta H"},{"PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Title":"Dr. ","FirstName":"Biruk ","LastName":"Alemu","Position":"Research fellow ","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Alemu B"},{"PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Title":"Dr.","FirstName":"Knight -Jones ","LastName":"Theodore ","Position":"Team Leader , Herd Health ","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Theodore K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Number":1,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":"Addis Ababa","Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Number":2,"Affiliation":"Institute of Virology and Immunology (IVI)","City":"Mittelhäusern","State":null,"Country":"Swaziland ","AffiliationDisplay":"Institute of Virology and Immunology (IVI), Mittelhäusern, Swaziland "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5e1c28cc-17eb-4777-98fb-4b48c96b2dd4","Number":3,"Affiliation":"College of Veterinary Medicine and Agriculture, Addis Ababa University ","City":"Bishoftu","State":null,"Country":"Ethiopia ","AffiliationDisplay":"College of Veterinary Medicine and Agriculture, Addis Ababa University , Bishoftu, Ethiopia "}],"AuthorsHtml":"Ayalew G1, Wieland B2, Mamo G3, Desta H1, Alemu B1, Theodore K1","AffiliationsHtml":"
1International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia
2Institute of Virology and Immunology (IVI), Mittelhäusern, Swaziland
3College of Veterinary Medicine and Agriculture, Addis Ababa University , Bishoftu, Ethiopia
"}],"DisplayName":"Gezahegn Alemayehu Ayalew","TimeDisplay":null},{"ContactId":"1a9b21d2-c66f-407a-a5ad-532bdf464656","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Chris","LastName":"Banks","Position":"Core Scientist / Research Fellow","Organization":"University of Edinburgh","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"drcjbanks","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"drcjbanks","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=drcjbanks","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=drcjbanks","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Bovine Tuberculosis in Britain – identifying signatures of polarisation and controversy on Twitter","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b4f8df75-42e5-4b50-a828-fc749df07a9a","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.C - Network Analysis","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"491f5c93-a0e2-419d-973d-86a7d6a68385","Html":null,"PlainText":"Objective: Approaches to disease control are influenced by and reflected in public opinion. Polarisation of that opinion is therefore profoundly important, with social media a well-known mechanism for enhancing polarisation. Bovine Tuberculosis (bTB) in British cattle and badgers is one example where considerable, heated debate centres around the legitimacy of badger culling to control the disease in cattle. Our aim is to examine how language subjectivity on Twitter differs when comparing the discourses surrounding bTB and to the important but less controversial disease bovine viral diarrhoea (BVD).

Methods: We collected all twitter impressions for bTB and BVD over two years. We identified the most influential users by background, nature, job, and disposition and applied text and sentiment analysis to classify the content and polarity (positive, negative, neutral) of each tweet.

Results: As expected, agricultural terms were most important for BVD, but bTB was dominated by badger culling. Sentiment analysis reveals BVD discourse was more neutral or positive, but bTB had more extremely negative content. User classification shows bTB was dominated by activists and conservationists, whereas BVD was dominated by farmers, vets, and related companies. Despite this, the structures of the two twitter networks were remarkably similar.

Conclusions: In our networks, the nature of discourse did not influence the network structure substantially. The mechanisms of dissemination remained similar, even when sentiment shifted the overall tone of discourse. These results suggest that, in this case, polarisation was a natural outgrowth of existing patterns of information dissemination, rather than forging new patterns itself.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"491f5c93-a0e2-419d-973d-86a7d6a68385","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4337e163585947708fa98cd8fc9d12de","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"491f5c93-a0e2-419d-973d-86a7d6a68385","Title":"Dr.","FirstName":"Chris","LastName":"Banks","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Banks C"},{"PresentationId":"491f5c93-a0e2-419d-973d-86a7d6a68385","Title":"Dr.","FirstName":"Jessica","LastName":"Enright","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Enright J"},{"PresentationId":"491f5c93-a0e2-419d-973d-86a7d6a68385","Title":"Dr.","FirstName":"Sibylle","LastName":"Mohr","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mohr S"},{"PresentationId":"491f5c93-a0e2-419d-973d-86a7d6a68385","Title":"Prof.","FirstName":"Rowland","LastName":"Kao","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Kao R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"491f5c93-a0e2-419d-973d-86a7d6a68385","Number":1,"Affiliation":"University Of Edinburgh","City":"Edinburgh","State":null,"Country":"United Kingdom","AffiliationDisplay":"University Of Edinburgh, Edinburgh, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"491f5c93-a0e2-419d-973d-86a7d6a68385","Number":2,"Affiliation":"University of Glasgow","City":"Glasgow","State":null,"Country":"United Kingdom","AffiliationDisplay":"University of Glasgow, Glasgow, United Kingdom"}],"AuthorsHtml":"Banks C1, Enright J2, Mohr S2, Kao R1","AffiliationsHtml":"
1University Of Edinburgh, Edinburgh, United Kingdom
2University of Glasgow, Glasgow, United Kingdom
"}],"DisplayName":"Chris Banks","TimeDisplay":null},{"ContactId":"72a6201f-5737-4275-8ec9-e67c1e56c81f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jerome","LastName":"Baron","Position":"Epidemiologist","Organization":"National Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Modelling of canine rabies transmission and vaccination in five villages of Cambodia using agent-base models","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Html":null,"PlainText":"Background and objectives: Rabies is endemic in Cambodia where the transmission chained is maintained in free-roaming owned dogs. Due to the current lack of national vaccination program, there is a need to inform authorities on the best strategies for implementation. Recent pilot vaccination campaigns have surveyed the canine population of several Cambodian villages and collected detailed demographic information. We aimed to model the impact of population turnover on vaccination coverage and the effectiveness of different levels of annual vaccination drives on rabies transmission using locally specific dog demography data.

Methods: We used demographic and spatial data from pilot dog vaccination campaigns to parametrize and construct a spatially explicit agent-based model in five villages of Kandal Province, Cambodia. Infection parameters were sourced from the literature, with reported basic reproduction number (R0) values used to calibrate key transmission parameters, including probability and distance of infectious contact. Calibration was accomplished through 48,000 simulations testing a range of parameter values with a target R0 between 1 and 2. Another 75,000 simulations were used to test various vaccination coverage scenarios within this R0 range.

Results: We observed a 40% reduction in vaccination coverage one year after vaccination. Annual vaccination with a target coverage of 70% maintained the average coverage over six years at 65% and reduced the mean R0 under one in every infection scenario. However, 8% of simulations led to outbreaks of 10 dogs or more in higher R0 scenarios. A target coverage of 90% reduced the number of outbreaks of 10 dogs or more to below 1% of simulations with the same scenarios.

Conclusion: We provide evidence that dogs need to be vaccinated annually due to the impact of rapid population turnover, and that annual vaccination coverage should be at least 70% of the whole dog population to control rabies in this setting.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Title":"Dr.","FirstName":"Jerome","LastName":"Baron","Position":"Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Baron J"},{"PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Title":"Dr.","FirstName":"Beatriz","LastName":"Martínez-López","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Martínez-López B"},{"PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Title":"Dr.","FirstName":"Benoit","LastName":"Durand","Position":"Head of unit","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Durand B"},{"PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Title":"Dr.","FirstName":"Sowath","LastName":"Ly","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Ly S"},{"PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Title":"Dr.","FirstName":"Véronique","LastName":"Chevalier","Position":"Veterinary epidemiologist","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Chevalier V"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Number":1,"Affiliation":"University of California, Davis","City":"Davis","State":"California","Country":"United States","AffiliationDisplay":"University of California, Davis, Davis California, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Number":2,"Affiliation":"Agence Nationale de Securite Sanitaire de l'Alimentation, de l'Environnement et du Travail (ANSES)","City":"Maison Alfort","State":"Ile-de-France","Country":"France","AffiliationDisplay":"Agence Nationale de Securite Sanitaire de l'Alimentation, de l'Environnement et du Travail (ANSES), Maison Alfort Ile-de-France, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Number":3,"Affiliation":"Institut Pasteur du Cambodge (IPC)","City":"Phnom Penh ","State":"Phnom Penh","Country":"Cambodia","AffiliationDisplay":"Institut Pasteur du Cambodge (IPC), Phnom Penh Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"76df073b-6c49-4ab4-bf4a-a046421cb0e1","Number":4,"Affiliation":"Centre de cooperation internationale en recherche agronomique pour le developpement (CIRAD)","City":"Montpellier","State":"Languedoc","Country":"France","AffiliationDisplay":"Centre de cooperation internationale en recherche agronomique pour le developpement (CIRAD), Montpellier Languedoc, France"}],"AuthorsHtml":"Baron J1, Martínez-López B1, Durand B2, Ly S3, Chevalier V4","AffiliationsHtml":"
1University of California, Davis, Davis California, United States
2Agence Nationale de Securite Sanitaire de l'Alimentation, de l'Environnement et du Travail (ANSES), Maison Alfort Ile-de-France, France
3Institut Pasteur du Cambodge (IPC), Phnom Penh Phnom Penh, Cambodia
4Centre de cooperation internationale en recherche agronomique pour le developpement (CIRAD), Montpellier Languedoc, France
"},{"Title":"Freedom from Chronic Wasting Disease in Semi-Domesticated Reindeer in Sweden","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f002cad3-f498-4110-84d2-a3d16319c66f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.B - Disease Control and Eradication Programs","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"f62461aa-a1b4-43b0-809f-e37d9b7dbf7b","Html":null,"PlainText":"Background and objectives: Until 2016, Chronic Wasting Disease (CWD) had not been identified in Europe. In 2016, a wild reindeer tested positive in Norway followed by other individuals in the herd after culling. This caused concern in Nordic countries, including Sweden, where reindeer are semi-domesticated. Surveillance increased in all endemic cervid species to investigate if CWD was present in wild or domesticated cervids in Sweden. The aim of this study is to establish the annual national and Sami village level probability of CWD absence in Swedish semi-domesticated reindeer given the results from the current surveillance program.

Methods: CWD surveillance relies on testing cervids, including reindeer, found dead, hunted, or at regular slaughter with ELISA rapid test for screening and Western Blot for confirmation. We used scenario trees to model the probability of disease and diagnostic test sensitivity in individual sampled reindeer and estimate herd level and system-wide sensitivity. We then used these parameters to calculate probability of disease freedom in individual Sami villages and at the national level with yearly temporal discounting. We ran multiple simulations using a range of values for key parameters as a sensitivity analysis.

Results: Sampling is highly variable between villages each year (0 to 588), causing a wide range of village freedom probabilities (49% to 99%). This heterogeneous sampling led to a national probability of freedom of 52% to 77% for 2021 with current parameter assumptions. Sensitivity analysis showed that key parameters for which information is poor, such as probability of introduction and design prevalence, had a strong influence on model output.

Conclusion: To date, CWD has not been identified in Swedish reindeer. Current surveillance needs to be increased, sustained, and more evenly distributed to ensure high level of confidence in continued CWD absence in Swedish reindeer.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f62461aa-a1b4-43b0-809f-e37d9b7dbf7b","Title":"Dr.","FirstName":"Jerome","LastName":"Baron","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Baron J"},{"PresentationId":"f62461aa-a1b4-43b0-809f-e37d9b7dbf7b","Title":"Dr.","FirstName":"Thomas","LastName":"Rosendal","Position":"Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Rosendal T"},{"PresentationId":"f62461aa-a1b4-43b0-809f-e37d9b7dbf7b","Title":"Dr.","FirstName":"Maria","LastName":"Nöremark","Position":"Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Nöremark M"},{"PresentationId":"f62461aa-a1b4-43b0-809f-e37d9b7dbf7b","Title":"Dr.","FirstName":"Hildegunn","LastName":"Viljugrein","Position":"Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Viljugrein H"},{"PresentationId":"f62461aa-a1b4-43b0-809f-e37d9b7dbf7b","Title":"Dr.","FirstName":"Jenny","LastName":"Frössling","Position":"Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Frössling J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f62461aa-a1b4-43b0-809f-e37d9b7dbf7b","Number":1,"Affiliation":"National Veterinary Institute Of Sweden (sva)","City":"Uppsala","State":"Uppsala","Country":"Sweden","AffiliationDisplay":"National Veterinary Institute Of Sweden (sva), Uppsala Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f62461aa-a1b4-43b0-809f-e37d9b7dbf7b","Number":2,"Affiliation":"Norwegian Veterinary Institute","City":"Oslo","State":null,"Country":"Norway","AffiliationDisplay":"Norwegian Veterinary Institute, Oslo, Norway"}],"AuthorsHtml":"Baron J1, Rosendal T1, Nöremark M1, Viljugrein H2, Frössling J1","AffiliationsHtml":"
1National Veterinary Institute Of Sweden (sva), Uppsala Uppsala, Sweden
2Norwegian Veterinary Institute, Oslo, Norway
"}],"DisplayName":"Jerome Baron","TimeDisplay":null},{"ContactId":"b843960e-ac68-4ffe-aade-fa2c113d6343","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Chloé","LastName":"Bâtie","Position":"Phd Candidate","Organization":"CIRAD","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Toward a reduction of antimicrobials in Vietnam: understanding the transition process of chicken farmers","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7346e8bb-cb44-4226-806d-b3ebd0891451","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Html":null,"PlainText":"Fostering transition toward prudent antimicrobial use (AMU) by chicken farmers in Vietnam is urgently needed. To identify levers to activate to support this change, the process of transition of farmers to better AMU needs to be understood from a socio-economic and multi-stakeholder perspective. In this study, we seek to understand why and how farmers from different production systems achieve a change in their practices and to determine the influence of their social network on their transition process.
We conducted a qualitative study including 30 semi-structured interviews in Phu Binh district, Thai Nguyen province with breeders, traders, veterinarians, and drug sellers. We also observed chicken farms, feeding activities, and interactions between these stakeholders. From a thematic analysis, we described the transition pathway of farmers and identified constraints and levers to reduce AMU.
We identified farmers’ profit-oriented production patterns, intensive farming, and the high disease incidence as main barriers to changing practices. To overcome these barriers and reduce AMU, changes appeared at the farms and value chain level. At the farm level, breeders use technical measures such as local preparation of probiotics, improved vaccination, and biosecurity through workshops organized by private or public actors. At the value chain level, the solution came through the development of cooperatives. These groups of farmers guarantee financial stability as well as technical support to practice change. However, these groups have been established on a spontaneous basis and can be the levers to access a distribution network specialized in quality products with less antibiotic use.
We believe that innovative solutions emerging from the local level need to be considered to effectively reduce AMU in chicken production. The successful individual strategies could be communicated to policymakers and included in the national strategy to reduce antibiotic use to increase the benefices of the different actors of the value chain.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Title":"Miss","FirstName":"Chloé","LastName":"Bâtie","Position":null,"Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Bâtie C"},{"PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Title":null,"FirstName":"Thi Van Anh","LastName":"Vu","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Vu T"},{"PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Title":null,"FirstName":"Thuy Duong","LastName":"Luong ","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":3,"DisplayName":"Luong T"},{"PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Title":null,"FirstName":"Thi Trang","LastName":"Pham ","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":4,"DisplayName":"Pham T"},{"PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Title":null,"FirstName":"Tran Minh","LastName":"Hang ","Position":null,"Affiliations":"7","IsPresenting":false,"SortOrder":5,"DisplayName":"Hang T"},{"PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Title":null,"FirstName":"Flavie","LastName":"Goutard","Position":null,"Affiliations":"1,2,3,8","IsPresenting":false,"SortOrder":6,"DisplayName":"Goutard F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Number":1,"Affiliation":"CIRAD, UMR ASTRE","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"CIRAD, UMR ASTRE, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Number":2,"Affiliation":"ASTRE, CIRAD, INRAE, Univ Montpellier","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"ASTRE, CIRAD, INRAE, Univ Montpellier, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Number":3,"Affiliation":"National Institute of Animal Science","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"National Institute of Animal Science, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Number":4,"Affiliation":"Indochina Survey Company","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"Indochina Survey Company, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Number":5,"Affiliation":"Institute of Regional Sustainable Development, Vietnam Academy of Social Sciences and Humanities","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"Institute of Regional Sustainable Development, Vietnam Academy of Social Sciences and Humanities, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Number":6,"Affiliation":"Faculty of Animal Science and Veterinary Medicine, Thai Nguyen University of Agriculture and Forestry","City":"Thai Nguyen","State":null,"Country":"Vietnam","AffiliationDisplay":"Faculty of Animal Science and Veterinary Medicine, Thai Nguyen University of Agriculture and Forestry, Thai Nguyen, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Number":7,"Affiliation":"Institute of Anthropology, Vietnam Academy of Social Sciences and Humanities","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"Institute of Anthropology, Vietnam Academy of Social Sciences and Humanities, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d710a43-f31c-4508-a4ab-c83479d296de","Number":8,"Affiliation":"National Institute of Veterinary Research","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"National Institute of Veterinary Research, Hanoi, Vietnam"}],"AuthorsHtml":"Bâtie C1,2,3, Vu T4, Luong T5, Pham T6, Hang T7, Goutard F1,2,3,8","AffiliationsHtml":"
1CIRAD, UMR ASTRE, Hanoi, Vietnam
2ASTRE, CIRAD, INRAE, Univ Montpellier, Montpellier, France
3National Institute of Animal Science, Hanoi, Vietnam
4Indochina Survey Company, Hanoi, Vietnam
5Institute of Regional Sustainable Development, Vietnam Academy of Social Sciences and Humanities, Hanoi, Vietnam
6Faculty of Animal Science and Veterinary Medicine, Thai Nguyen University of Agriculture and Forestry, Thai Nguyen, Vietnam
7Institute of Anthropology, Vietnam Academy of Social Sciences and Humanities, Hanoi, Vietnam
8National Institute of Veterinary Research, Hanoi, Vietnam
"},{"Title":"Policy development to reduce antibiotic usage in Vietnam: understanding its implementation from the actors of the veterinary drug value chain perspectives","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Html":null,"PlainText":"Following the development of the National Action Plan to fight antimicrobial resistance, new policies have been issued in Vietnam to reduce the use of antibiotics in livestock production. However, to be effective, regulations need to be understood and implemented by local stakeholders. In this study, we aim to map the power dynamics between actors of the veterinary drug value chain and to identify bottlenecks in the implementation of these new antibiotic uses policies.
We conducted a stakeholder mapping and analysis through a focus group (n=12 participants) and 38 semi-structured interviews with respondents from the public, private, foreign partner sectors of the veterinary drug value chain. Based on the thematic analysis, each participant was defined in terms of their level of legitimacy, resources, connections, and power within the value chain and barriers and motivations to the implementation were identified.
From the drug value chain mapping, we found that involvement in the legislative process improved regulatory compliance by stakeholders. The differences in business sizes, legal status, and resources held by stakeholders generated the different performances in implementing the regulations then created the distance between regulations and realities. For example, large companies implemented legislation better than local stakeholders (veterinarians, farmers), who did not participate as active stakeholders in the legislative strategy. The lack of knowledge and human and technical capacity to implement regulations effectively could be explained by a lack of connection between policymakers and small to medium-scale farms.
Developing new policies is the first step toward more prudent antibiotic use. However, to achieve a change in practices, this strategy requires improving the capacities of state bodies and collaboration across sectors. It must also be combined with other locally developed solutions such as the development of cooperatives or sales channels for antibiotic-free chicken production. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Title":"Miss","FirstName":"Chloé","LastName":"Bâtie","Position":"Phd Candidate","Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Bâtie C"},{"PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Title":null,"FirstName":"Van Duy","LastName":"Nguyen","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Nguyen V"},{"PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Title":null,"FirstName":"Khue","LastName":"Nguyen","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":3,"DisplayName":"Nguyen K"},{"PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Title":null,"FirstName":"Thi Dien","LastName":"Nguyen","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Nguyen T"},{"PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Title":null,"FirstName":"Dinh Ton","LastName":"Vu","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Vu D"},{"PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Title":"Dr","FirstName":"Flavie","LastName":"Goutard","Position":null,"Affiliations":"1,2,3,6","IsPresenting":false,"SortOrder":6,"DisplayName":"Goutard F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Number":1,"Affiliation":"CIRAD, UMR ASTRE","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"CIRAD, UMR ASTRE, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Number":2,"Affiliation":"ASTRE, CIRAD, INRAE, Univ Montpellier","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"ASTRE, CIRAD, INRAE, Univ Montpellier, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Number":3,"Affiliation":"National Institute of Animal Science","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"National Institute of Animal Science, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Number":4,"Affiliation":"Centre for Interdisciplinary Research on Rural Development, Vietnam National University of Agriculture","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"Centre for Interdisciplinary Research on Rural Development, Vietnam National University of Agriculture, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Number":5,"Affiliation":"Faculty of Social Sciences, Vietnam National University of Agriculture","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"Faculty of Social Sciences, Vietnam National University of Agriculture, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec735f35-85b5-441e-b873-f33176f8c645","Number":6,"Affiliation":"National Institute of Veterinary Research ","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"National Institute of Veterinary Research , Hanoi, Vietnam"}],"AuthorsHtml":"Bâtie C1,2,3, Nguyen V4, Nguyen K5, Nguyen T5, Vu D4, Goutard F1,2,3,6","AffiliationsHtml":"
1CIRAD, UMR ASTRE, Hanoi, Vietnam
2ASTRE, CIRAD, INRAE, Univ Montpellier, Montpellier, France
3National Institute of Animal Science, Hanoi, Vietnam
4Centre for Interdisciplinary Research on Rural Development, Vietnam National University of Agriculture, Hanoi, Vietnam
5Faculty of Social Sciences, Vietnam National University of Agriculture, Hanoi, Vietnam
6National Institute of Veterinary Research , Hanoi, Vietnam
"}],"DisplayName":"Chloé Bâtie","TimeDisplay":null},{"ContactId":"1b793c8f-9050-43ef-bde4-845043b285b9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Cath","LastName":"Bauman","Position":"Assistant Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Comparison of goat colostrum quality to bovine-sourced milk replacement products","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"cd4ad3ec-0144-4c73-8f7d-8368e489b250","Html":null,"PlainText":"Objective
To compare the microbiological, immunological and micro-nutrient components between pre-mixed bovine-sourced colostrum and caprine colostrum

Materials and methods
Twenty randomly selected Ontario licensed dairy goat farms provided up to 5 samples of each of the following: 1) caprine colostrum and 2) pre-mixed bovine-sourced colostrum replacement product. All samples were frozen and shipped to the University of Guelph (culture and aerobic counts), University of Alberta (micronutrients), the Saskatoon Colostrum Company (IgG and Brix refractometer) and Lactanet (fat, protein and lactose).
Descriptive statistics and univariable analysis was performed in R/RStudio.

Results
1.\tThe average mean IgG was significantly lower (p < 0.0001) in colostrum replacement product (33.7 g/L) than in caprine colostrum (53.5 g/L).
2.\tBased on using 50g/L as a cut-point to designate a sample as “good” quality, only 1.7% of colostrum replacement product samples met this cut-point compared to goat colostrum (29.7%) (p < 0.0001).
3.\tThe lactose content of colostrum replacement product was 5.4% compared to goat colostrum 2.4% (p < 0.0001) and fat and protein % were also significantly lower in the colostrum replacement products.
4.\tVitamin levels were not significantly different; however, multiple mineral levels and the microbiological contents were.

Conclusions
The majority of dairy goat producers use colostrum and milk replacement products as part of their caprine arthritis encephalitis virus management programs. Based on how producers are currently mixing these products, goat kids are at risk for failure of passive transfer, osmotic diarrhea from the increased lactose content, bacterial levels and mineral deficiencies. Further research needs to be conducted on the health impacts of animals fed these products.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cd4ad3ec-0144-4c73-8f7d-8368e489b250","Title":"Dr.","FirstName":"Cath","LastName":"Bauman","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bauman C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cd4ad3ec-0144-4c73-8f7d-8368e489b250","Number":1,"Affiliation":"Population Medicine, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Population Medicine, University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Bauman C1","AffiliationsHtml":"
1Population Medicine, University Of Guelph, Guelph ON, Canada
"}],"DisplayName":"Cath Bauman","TimeDisplay":null},{"ContactId":"07778f76-01db-46ae-b8ad-81614b01f249","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Wendy","LastName":"Beauvais","Position":"Assistant Professor","Organization":"Purdue University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/133521059a6549fa8daeae780f517363","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Compartmental modeling of control measures to reduce bi-directional interspecies transmission of influenza in a US hog grower unit","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"82a6fe9a-62af-48a6-b0b4-3596f28dd398","Html":null,"PlainText":"Objectives
The ability of influenza A viruses (IAV) to evolve as a zoonotic pathogen with pandemic potential poses public health and economic threat. Total direct and indirect annual losses to the US pork industry attributed to IAV range from $360 million to $1 billion. Swine workers’ odds of elevated antibodies to the 2009 H1N1 virus have been estimated to be 54.9 times those of controls in non-swine industry workers. Our objective was to rank the effectiveness of control measures to mitigate influenza transmission (hog-to-hog, hog-to-workforce, and workforce-to-hog) on a US indoor hog grower unit.

Materials and methods
We adapted a previous Susceptible-Exposed-Infected-Recovered model based on a system of ordinary differential equations (ODEs) to a typical US indoor hog grower unit and incorporated stochastic hog-to-workforce transmission. The model was parameterized via literature review and expert consultation. Sensitivity analyses were performed to explore the impact of uncertainty in parameter values on results. Control measures such as vaccination, sick leave policies, and temperature monitoring were evaluated.

Results
Assuming a single infected hog was introduced onto the farm, the model predicts the first workforce infection within approximately 30 days in 50% of iterations. For highly-transmissible strains, the first workforce infection occurred within 4 days, 5 days, or 8.6 days in 50% of iterations, based on a hog vaccination effectiveness of 0%, 40%, or 80%, respectively. Sensitivity analyses suggest that these findings are robust.

Conclusion
Our results align with empirical studies suggesting that hog workers are likely to become infected by IAV rapidly during an outbreak in hogs. The emergence of a highly-pathogenic and transmissible strain of IAV (to hogs or humans) could create significant workforce shortages in a sector where relatively few workers are responsible for large swine populations (approximately 1:2000 workers:hogs). Future research will examine the cost-effectiveness and user acceptability of control measures. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"82a6fe9a-62af-48a6-b0b4-3596f28dd398","Title":"Dr.","FirstName":"Eric","LastName":"Kontowicz","Position":"Postdoctoral Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Kontowicz E"},{"PresentationId":"82a6fe9a-62af-48a6-b0b4-3596f28dd398","Title":"Mrs.","FirstName":"Wendy","LastName":"Beauvais","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Beauvais W"},{"PresentationId":"82a6fe9a-62af-48a6-b0b4-3596f28dd398","Title":"Dr.","FirstName":"Daryl","LastName":"Ragland","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Ragland D"},{"PresentationId":"82a6fe9a-62af-48a6-b0b4-3596f28dd398","Title":"Dr.","FirstName":"Max","LastName":"Moreno-Madriñán","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Moreno-Madriñán M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"82a6fe9a-62af-48a6-b0b4-3596f28dd398","Number":1,"Affiliation":"Purdue University College of Veterinary Medicine","City":"West Lafayette","State":"IN","Country":"USA","AffiliationDisplay":"Purdue University College of Veterinary Medicine, West Lafayette IN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"82a6fe9a-62af-48a6-b0b4-3596f28dd398","Number":2,"Affiliation":"Indiana University","City":"Indianapolis","State":"IN","Country":"USA","AffiliationDisplay":"Indiana University, Indianapolis IN, USA"}],"AuthorsHtml":"Kontowicz E1, Beauvais W1, Ragland D1, Moreno-Madriñán M2","AffiliationsHtml":"
1Purdue University College of Veterinary Medicine, West Lafayette IN, USA
2Indiana University, Indianapolis IN, USA
"}],"DisplayName":"Wendy Beauvais","TimeDisplay":null},{"ContactId":"f74963bc-3867-4aff-a980-2908bb0e387e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Oriana","LastName":"Beemer","Position":"Veterinary Epidemiologist","Organization":"USDA/APHIS/VS","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Enhanced African Swine Fever Surveillance: Establishment of a United States Protection Zone ","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Html":null,"PlainText":"Objective
The United States Department of Agriculture (USDA) established its first ever foreign animal disease protection zone (PZ) in Puerto Rico (PR) and the United States Virgin Islands (USVI) following the detection of African swine fever (ASF) in the Dominican Republic in July of 2021.

Materials and methods
Building on its historic classical swine fever program, the USDA implemented its first national surveillance program for ASF in 2019. The risk-based program strengthens detection capabilities through consistent surveillance at a nationwide network of laboratories. The program establishes a baseline of disease absence and supports claims of disease freedom through timely and targeted testing of higher-risk subpopulations of swine. To meet OIE PZ guidance, the USDA implemented comprehensive education campaigns, improved biosecurity and sanitary measures, enacted movement restrictions on swine and swine products, and enhanced surveillance activities within the PZ and the contiguous U.S. The USDA performed a pathways analysis to improve risk-based targeting of surveillance activities and expanded laboratory capacity to support additional testing in the PZ. Garbage fed swine, slaughter swine, clinically ill swine, feral swine, and swine on farms within 3 km of illegal boat landings are targeted.

Results
Enhancement of risk-based surveillance in the PZ has enabled consistent testing of populations with the highest risk of disease introduction, resulting in a greater than 50-fold increase in samples tested for ASF and a dramatic increase in the rate of initiation of Foreign Animal Disease investigations.

Conclusion
The enhancements implemented by USDA have supported the establishment of a robust PZ surveillance system. The PZ and surveillance enhancements are expected to mitigate the risk of ASF introduction to the U.S. and its territories and improve the ability of USDA to detect, control, and eradicate ASF should an incursion occur.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Title":"Dr.","FirstName":"Cole","LastName":"Vanicek","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Vanicek C"},{"PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Title":"Dr.","FirstName":"Kevin","LastName":"Spiegel","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Spiegel K"},{"PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Title":"Dr.","FirstName":"Kathleen","LastName":"O'Hara","Position":"Post-doctoral Scholar","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"O'Hara K"},{"PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Title":"Mrs.","FirstName":"Oriana","LastName":"Beemer","Position":"Veterinary Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Beemer O"},{"PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Title":"Dr.","FirstName":"Dawn","LastName":"Hunter","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Hunter D"},{"PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Title":"Dr.","FirstName":"Joyce","LastName":"Bowling-Heyward","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Bowling-Heyward J"},{"PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Title":"Mrs.","FirstName":"Amy","LastName":"Delgado","Position":"Director","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Delgado A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Number":1,"Affiliation":"Center for Epidemiology and Animal Health, Veterinary Services, Strategy and Policy, Animal and Plant Health Inspection Service, United States Department of Agriculture","City":"Fort Collins","State":"CO","Country":"United States of America","AffiliationDisplay":"Center for Epidemiology and Animal Health, Veterinary Services, Strategy and Policy, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins CO, United States of America"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Number":2,"Affiliation":"Trade Policy, Veterinary Services, Strategy and Policy, Animal and Plant Health Inspection Service, United States Department of Agriculture","City":"Riverdale","State":"MD","Country":"United States of America","AffiliationDisplay":"Trade Policy, Veterinary Services, Strategy and Policy, Animal and Plant Health Inspection Service, United States Department of Agriculture, Riverdale MD, United States of America"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dfd0af1e-96f2-48cb-91fe-9249ecb97999","Number":3,"Affiliation":"Regionalization Evaluation Services, Veterinary Services, Strategy and Policy, Animal and Plant Health Inspection Service, United States Department of Agriculture","City":"Riverdale","State":"MD","Country":"United States of America","AffiliationDisplay":"Regionalization Evaluation Services, Veterinary Services, Strategy and Policy, Animal and Plant Health Inspection Service, United States Department of Agriculture, Riverdale MD, United States of America"}],"AuthorsHtml":"Vanicek C1, Spiegel K1, O'Hara K1, Beemer O1, Hunter D2, Bowling-Heyward J3, Delgado A1","AffiliationsHtml":"
1Center for Epidemiology and Animal Health, Veterinary Services, Strategy and Policy, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins CO, United States of America
2Trade Policy, Veterinary Services, Strategy and Policy, Animal and Plant Health Inspection Service, United States Department of Agriculture, Riverdale MD, United States of America
3Regionalization Evaluation Services, Veterinary Services, Strategy and Policy, Animal and Plant Health Inspection Service, United States Department of Agriculture, Riverdale MD, United States of America
"}],"DisplayName":"Oriana Beemer","TimeDisplay":null},{"ContactId":"7a4e3622-1a2a-4207-8038-f2f0e88bba7c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Neila","LastName":"BenSassi","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"NeilaSassi","_facebookUrl":"","_linkedInUrl":"Neila Ben Sassi","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"NeilaSassi","FacebookUrl":"","LinkedInUrl":"Neila Ben Sassi","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=NeilaSassi","FullFacebookUrl":"","FullLinkedInUrl":"http://Neila Ben Sassi","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=NeilaSassi","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://Neila Ben Sassi","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Animal welfare policy: Challenges estimating economic impacts of transitioning laying hens to alternative housing ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"cc7a8d79-a5d9-425d-85cb-1529a5b8b0dc","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.E - Animal welfare","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"fb777253-f020-44db-876a-7ea8561cac13","Html":null,"PlainText":"Objectives
Farm animal welfare concerns primarily relate to the housing system, air quality and litter provision. Animal welfare legislation was set to require minimum standards of care providing opportunities to express normal behaviour. The Global Burden of Animal Diseases (GBADs) aims to estimate the economic impact of health loss in different production systems. This study was conducted to evaluate the economic impact of animal welfare legislation in Europe and North America. The impact of banning conventional cages and transitioning to alternative housing in egg laying hens was explored.

Material and Methods
An exploratory review of governmental and non-governmental laying hens’ welfare policies was conducted. Studies and technical reports on the economic impact of hens’ transition to alternative housing were identified using Google Scholar.

Results
Legislation compliance resulted in rising production costs with huge differences between countries. EU standards (Council Directive 1999/74/EC) banned conventional cages in 2012 which resulted in an estimated 16% increase in production costs. In North America, nearly 80% of eggs are produced in conventional cages although the transition to alternative housing is ongoing. In Canada, non-governmental organizations recommended transitioning by 2036 while a large-scale shift is planned for 2025. A low economic impact with a slightly lower feed conversion and higher mortality rates was reported. California was the first American state to impose the ban of conventional cages by 2022. Production costs were estimated to be 36% higher in alternative housing while recent studies reported a 41% increase. Additional economic losses due to compromised hens’ health including increased exposure to Salmonella and red mites, higher ammonia levels and keel bone fractures were reported in non-cage systems.

Conclusion
Market conditions, their evolution and consumer demands across countries are identified limitations for a global economic estimation of animal welfare compliance in the GBADs context.

animal welfare, economics, hens, transition.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fb777253-f020-44db-876a-7ea8561cac13","Title":"Dr.","FirstName":"Neila","LastName":"BenSassi","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"BenSassi N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fb777253-f020-44db-876a-7ea8561cac13","Number":1,"Affiliation":"Department of Veterinary Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Veterinary Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"BenSassi N1","AffiliationsHtml":"
1Department of Veterinary Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada
"}],"DisplayName":"Neila BenSassi","TimeDisplay":null},{"ContactId":"28627262-4508-4c63-b2f5-e8538b94e80e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Michele","LastName":"Bergevin","Position":"PhD Candidate","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8c076ba611574749a6f5544c66c8469a","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Cache Valley Virus: prevalence and risk factors associated with seropositivity in Ontario sheep","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3dd96aae-c056-47a7-845d-58850ffa093f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Html":null,"PlainText":"Cache Valley virus (CVV) disease is a mosquito-borne zoonotic infection endemic to North America. CVV disease causes meningoencephalitis in humans and lethal congenital deformities in ungulates, primarily sheep. No vaccine against, or treatment for, CVV exists in humans or animals. Numerous CVV outbreaks in sheep flocks in Ontario, Canada have occurred in the past decade, but contributing factors remain unknown. Overall, there is a scarcity of CVV prevalence data for Canadian livestock, compounded by misdiagnosis and underreporting of cases in both sheep and humans.

Objective: To evaluate CVV seroprevalence in Ontario sheep and identify exposure risk factors.

Methods: A cross-sectional study was conducted to investigate the association between flock CVV seroprevalence and farm characteristics and management practices. Serum samples were collected from 20 mature ewes at each of the 18 farms randomly selected across southern Ontario in summer 2021 and tested for CVV antibodies using a virus neutralization assay. A questionnaire was conducted with the shepherd at each farm collecting data on nearby ecological conditions and management factors including housing, breeding schedule, flock and facility conditions. Mixed logistic regression with farm as a random effect was used to identify risk factors for and protective measures against sheep CVV seropositivity.

Results: Flock samples represented five sheep districts in the province, including the four largest in terms of ewes per district. Sixteen flocks (88.9%) were CVV seropositive, with sheep seropositivity ranging from 5% to 90% (mean= 38%, median= 35%) per positive flock. Preliminary regression analyses indicate important associations between sheep CVV seropositivity, age and housing factors.

Conclusion: CVV exposure is widely distributed across southern Ontario.

Keywords: Cache Valley virus, mosquito-borne disease, seroprevalence, risk analysis, One Health
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Title":"Ms.","FirstName":"Michele","LastName":"Bergevin","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bergevin M"},{"PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Title":"Dr.","FirstName":"Victoria","LastName":"Ng","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ng V"},{"PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Title":"Dr.","FirstName":"Paula","LastName":"Menzies","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Menzies P"},{"PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Title":"Dr.","FirstName":"Antoinette","LastName":"Ludwig","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Ludwig A"},{"PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Title":"Dr.","FirstName":"Samira","LastName":"Mubareka","Position":null,"Affiliations":"4,5","IsPresenting":false,"SortOrder":5,"DisplayName":"Mubareka S"},{"PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Title":"Dr.","FirstName":"Katie","LastName":"Clow","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Clow K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Number":1,"Affiliation":"Population Medicine, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Population Medicine, University Of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Number":2,"Affiliation":"National Microbiology Laboratory, Public Health Agency of Canada","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"National Microbiology Laboratory, Public Health Agency of Canada, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Number":3,"Affiliation":"National Microbiology Laboratory, Public Health Agency of Canada","City":"St. Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"National Microbiology Laboratory, Public Health Agency of Canada, St. Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Number":4,"Affiliation":"Faculty of Medicine, University of Toronto","City":"Toronto","State":"ON","Country":"Canada","AffiliationDisplay":"Faculty of Medicine, University of Toronto, Toronto ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1e29330d-da27-438e-ba43-22231dc6a263","Number":5,"Affiliation":"Sunnybrook Health Sciences Centre","City":"Toronto","State":"ON","Country":"Canada","AffiliationDisplay":"Sunnybrook Health Sciences Centre, Toronto ON, Canada"}],"AuthorsHtml":"Bergevin M1, Ng V1,2, Menzies P1, Ludwig A3, Mubareka S4,5, Clow K1","AffiliationsHtml":"
1Population Medicine, University Of Guelph, Guelph ON, Canada
2National Microbiology Laboratory, Public Health Agency of Canada, Guelph ON, Canada
3National Microbiology Laboratory, Public Health Agency of Canada, St. Hyacinthe QC, Canada
4Faculty of Medicine, University of Toronto, Toronto ON, Canada
5Sunnybrook Health Sciences Centre, Toronto ON, Canada
"}],"DisplayName":"Michele Bergevin","TimeDisplay":null},{"ContactId":"cd040514-2e29-4d46-8758-88159ad9486f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Hannes","LastName":"Bergmann","Position":"","Organization":"Friedrich-Loeffler-Institut","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Crowd wisdom of participatory risk mapping for African swine fever","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"73285516-2681-481f-b5a8-7a82b6231c66","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"6589ab59-df5d-4cab-98dd-f898d8290bdc","Html":null,"PlainText":"Objective: African swine fever [ASF] is an internationally spreading viral pig disease with a massive socio-economic impact. For the identification of regions with a high risk of ASF introduction, we developed a novel participatory mapping system (Participatory risk mapping network for animal diseases, PRMNAD) that exploits efficient heuristic decision-making processes. PRMNAD users with diverse experiences employ differing strategies to reach spatially explicit disease spread predictions. We hypothesised that aggregation of multiple spatial estimates would diminish the role of individual errors.

Materials and methods: During a study that applied PRMNAD to ASF in European wild boar, participating users were asked to evaluate map-based risk information and the current ASF disease status to predict ASF spread, whilst recording the underlying risk factors they considered. Users also provided information about their ASF-related experiences to help understand user prediction strategies. At the end of each risk assessment cycle, individual user predictions were spatially aggregated, followed by congruence-based comparison of aggregate- and individual-predictions against the true disease status that emerged.

Results: We found that spatial aggregates of multiple, individual participatory risk mapping predictions for ASF occurrence outperformed even the best individual estimates in most scenarios. The accuracy of the predicted disease occurrence area increased relative to the size of the targeted prediction area overall, indicating that aggregation of multiple spatial estimates, indeed diminished the role of errors in this unprecedented context.

Conclusion: Our findings extend the statistical phenomenon of crowd wisdom to spatial disease mapping applications, thereby revealing a potent mechanism for improving the accuracy of spatial estimates.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773701.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6589ab59-df5d-4cab-98dd-f898d8290bdc","Title":"Dr.","FirstName":"Hannes","LastName":"Bergmann","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bergmann H"},{"PresentationId":"6589ab59-df5d-4cab-98dd-f898d8290bdc","Title":"Dr.","FirstName":"Jörn","LastName":"Gethmann","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gethmann J"},{"PresentationId":"6589ab59-df5d-4cab-98dd-f898d8290bdc","Title":null,"FirstName":"Patrick","LastName":"Wysocki","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Wysocki P"},{"PresentationId":"6589ab59-df5d-4cab-98dd-f898d8290bdc","Title":"Dr.","FirstName":"Hartmut H.","LastName":"Lentz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Lentz H"},{"PresentationId":"6589ab59-df5d-4cab-98dd-f898d8290bdc","Title":"Dr.","FirstName":"Nicolai","LastName":"Denzin","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Denzin N"},{"PresentationId":"6589ab59-df5d-4cab-98dd-f898d8290bdc","Title":"Prof.","FirstName":"Franz J.","LastName":"Conraths","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Conraths F"},{"PresentationId":"6589ab59-df5d-4cab-98dd-f898d8290bdc","Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Sauter-Louis C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6589ab59-df5d-4cab-98dd-f898d8290bdc","Number":1,"Affiliation":"Friedrich-Loeffler-Institut, Institute of Epidemiology","City":"Greifswald","State":"Mecklenburg Western Pomerania","Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler-Institut, Institute of Epidemiology, Greifswald Mecklenburg Western Pomerania, Germany"}],"AuthorsHtml":"Bergmann H1, Gethmann J1, Wysocki P1, Lentz H1, Denzin N1, Conraths F1, Sauter-Louis C1","AffiliationsHtml":"
1Friedrich-Loeffler-Institut, Institute of Epidemiology, Greifswald Mecklenburg Western Pomerania, Germany
"}],"DisplayName":"Hannes Bergmann","TimeDisplay":null},{"ContactId":"da1fb05a-13c5-4008-8bde-34c5b36ab57c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Olaf","LastName":"Berke","Position":"Professor","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/57106453836c4b508a7f57b93071c960","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"How many more times: Another contribution to the Statistical Significance debate with an example from spatial epidemiology","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"5ecb13dc-cd09-43c3-84ba-e86914a52825","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.E - Epidemiologic Principles and Methods (Statistical analysis)","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"e4f330c7-e67f-4746-bce3-f66936c03422","Html":null,"PlainText":"Keywords: Statistical epidemiology, p-value, reproducibility, spatial scan test, dog bites

1. Objective(s)
For decades the concepts of statistical hypothesis testing and the p-value have been critically discussed. The reproducibility crisis has put a new spotlight on the meaning of statistical significance and p-values in epidemiological research. The goal of this presentation is to clarify some relevant concepts, identify misconceptions, and advocate for a more reflective use of p-values and propose confidence intervals as an alternative. An example will focus on spatial cluster detection.

2. Materials and methods
The history of statistical hypothesis testing is briefly traced back. The principles of statistical significance testing as part of study design are revisited and contrasted with typical arguments against their use in practise. With reference to scientific inference (inductive versus deductive) different types of test situations will be identified. The circular spatial scan test was applied to incidence of dog bites in 75 regions of Nepal.

3. Results
Misuse of the statistical test concept led to criticism of statistics, epidemiology and the entire scientific enterprise. There is a distinction between exploratory and confirmatory statistical tests. Exploratory testing is less meaningful. While spatial dog bite clusters were identified as significant, their relevance remains questionable. Confidence intervals for the incidence risk ratio provided a useful alternative to p-values.

4. Conclusion
Tests provide an answer to a single decision problem in designed studies. Scientific progress is based on replication and triangulation and is a process. Tests contribute to this process but can not alone answer the fundamental question of cause-effect relations in epidemiology. Disease cluster detection is a spatial epidemiological study goal in its own right, but its use is restricted and should be more reflected upon.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e4f330c7-e67f-4746-bce3-f66936c03422","Title":"Dr.","FirstName":"Olaf","LastName":"Berke","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Berke O"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e4f330c7-e67f-4746-bce3-f66936c03422","Number":1,"Affiliation":"University of Guelph / Population Medicine","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University of Guelph / Population Medicine, Guelph ON, Canada"}],"AuthorsHtml":"Berke O1","AffiliationsHtml":"
1University of Guelph / Population Medicine, Guelph ON, Canada
"}],"DisplayName":"Olaf Berke","TimeDisplay":null},{"ContactId":"b4422375-f313-4210-a07b-85e18fdb05a9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Theresa","LastName":"Bernardo","Position":"Professor, IDEXX Chair in Emerging Technologies and Preventive Healthcare","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A One Health Data Challenge: Providing Evidence Across Disciplinary Borders for the Global Burden of Animal Diseases","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0fa1431b-ede6-4dcd-83e7-91911743e427","Html":null,"PlainText":"Objectives

Endorsed by FAO, OIE, WHO and UNEP in Dec 2021, the One Health High Level Expert Panel’s operational definition recognizes One Health as an integrated, unifying approach “to sustainably balance and optimize the health of people, animals and ecosystems”. Work across disciplinary boundaries to combine data of different types and formats from a variety of sources can provide the evidence on which to base such complex One Health decisions. For example, the calculation of global human, animal, crop loss and foodborne burdens of disease each rely on compilation and harmonization of data from all countries. In turn, data from these various global burdens, combined with data from other sources on land use and climate change, will factor into One Health deliberations.

Methods

The Informatics Theme of the Global Burden of Animal Diseases (GBADs), has delved into data issues and challenges, learning to work with other GBADs Themes (e.g. production, economics) with different vocabularies, ontologies, skills and needs, to identify not just the location of their relevant data sources, but the details of variables used, and to describe the data in the form of metadata. Starting with existing sources of open data, we are creating a knowledge engine to generate reliable, reproducible results in a transparent and efficient manner.

Results

Implementing a graph database helps to understand and analyze dynamic connections between people, processes and technology. Using measures of data quality builds trust in the data itself, as well as the resulting models and dashboards. Best practices and standards for data governance are documented in our Data Governance Handbook.

Conclusion

Providing easily accessible, automatically updated, interoperable data, analyzed and visualized in meaningful ways will enable people to take informed action based on engaging One Health data stories.

Keywords

GBADs, One Health, data interoperability

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0fa1431b-ede6-4dcd-83e7-91911743e427","Title":"Ms.","FirstName":"Theresa","LastName":"Bernardo","Position":"Professor, IDEXX Chair in Emerging Technologies and Preventive Healthcare","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bernardo T"},{"PresentationId":"0fa1431b-ede6-4dcd-83e7-91911743e427","Title":"Ms.","FirstName":"Deborah","LastName":"Stacey","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Stacey D"},{"PresentationId":"0fa1431b-ede6-4dcd-83e7-91911743e427","Title":"Miss","FirstName":"Kassy","LastName":"Raymond","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Raymond K"},{"PresentationId":"0fa1431b-ede6-4dcd-83e7-91911743e427","Title":"Dr.","FirstName":"Grace","LastName":"Patterson","Position":"Postdoctoral Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Patterson G"},{"PresentationId":"0fa1431b-ede6-4dcd-83e7-91911743e427","Title":"Dr.","FirstName":"Neila","LastName":"Ben Sassi","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Ben Sassi N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0fa1431b-ede6-4dcd-83e7-91911743e427","Number":1,"Affiliation":"University Of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"University Of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Bernardo T1, Stacey D1, Raymond K1, Patterson G1, Ben Sassi N1","AffiliationsHtml":"
1University Of Guelph, Guelph Ontario, Canada
"},{"Title":"The Global Burden of Animal Diseases (GBADs) Informatics Theme: Progress Towards Dynamic One Health Data","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Html":null,"PlainText":"The calculation of the Global Burden of Animal Diseases (GBADs) will be based on the most recent data-driven evidence accessed from existing data sources. Whereas the Global Burden of Disease (GBD) Study for humans, first published in 1990, is now updated every few years, the goal for GBADs is to provide continual updating as changes are made to the underlying data. Providing transparency regarding where the data came from and what has been done to it, as well as an assessment of data quality, will engender trust in the data itself, as well as the resulting models and dashboards. We are also incorporating best practices and standards, as documented in our Data Governance Handbook.
Even an apparently simple input variable, such as the number of animals by species, has proved difficult to reconcile as each species is categorized in different manners by leading data sources and over time. Each output serves as an input for additional calculations, introducing the risk of amplifying data errors. For example, accurate estimates of livestock numbers are necessary to estimate biomass, which is used in estimating economic investment in animals and infrastructure for GBADs. Biomass, however, is also used to estimate antimicrobial use and for climate change deliberations, illustrating the importance of sharing reliable data across human, animal, and environmental health, or One Health Data. GBADs data also factor into Sustainable Development Goals, including hunger, health, responsible production, climate action and livelihoods.
The Informatics Theme, comprised of a mix of epidemiologists and computer, data and other scientists at the University of Guelph, works closely with other GBADs Themes to ensure reproducible results, facilitate data flow, support data analysis and visual representation in dashboards and through data stories. An overview of our data products will be presented.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Title":"Ms.","FirstName":"Theresa","LastName":"Bernardo","Position":"Professor, IDEXX Chair in Emerging Technologies and Preventive Healthcare","Affiliations":"1,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Bernardo T"},{"PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Title":"Ms.","FirstName":"Deborah","LastName":"Stacey","Position":"Associate Professor","Affiliations":"1,2","IsPresenting":true,"SortOrder":2,"DisplayName":"Stacey D"},{"PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Title":"Dr.","FirstName":"Grace","LastName":"Patterson","Position":"Postdoctoral Fellow","Affiliations":"1,3","IsPresenting":false,"SortOrder":3,"DisplayName":"Patterson G"},{"PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Title":"Miss","FirstName":"Kassy","LastName":"Raymond","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Raymond K"},{"PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Title":"Dr.","FirstName":"Neila","LastName":"BenSassi","Position":"","Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"BenSassi N"},{"PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Title":"Mr.","FirstName":"Le","LastName":"Nguyen","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Nguyen L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Number":1,"Affiliation":"Global Burden of Animal Diseases programme","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases programme"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Number":2,"Affiliation":"School of Computer Science, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"School of Computer Science, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"90ee324c-6441-4af5-9b76-d9a6451680c3","Number":3,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Bernardo T1,3, Stacey D1,2, Patterson G1,3, Raymond K1,2, BenSassi N1,3, Nguyen L1,2","AffiliationsHtml":"
1Global Burden of Animal Diseases programme
2School of Computer Science, University of Guelph, Guelph ON, Canada
3Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada
"}],"DisplayName":"Theresa Bernardo","TimeDisplay":null},{"ContactId":"28979ab4-025f-4f52-a243-81f38826f37f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Philippe","LastName":"Berthiaume","Position":"Epidemiologist","Organization":"Public Health Agency Of Canada","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Risk associated with mosquito-virus dyads endemic or expected to become endemic in Canada over the next 50 years: A scoping review","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3d5c5931-1ee5-4c35-b571-341c8da69512","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.D - Risk assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"5a405652-530f-456a-af8d-eecaea7723b6","Html":null,"PlainText":"
Objectives:
This scoping review describes important aspects of mosquito vector capacity for viruses endemic or expected to become endemic in Canada and which could pose vector-borne diseases risks for public health.

Materials and Methods :
The research question and scoping review (ScR) protocol were defined a priori according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A stringent scientific literature search algorithm was developed and used on three databases (MEDLINE, Embase and Global Health) to capture relevant scientific articles followed by comprehensive search verification. Search keywords included elements of vector capacity for a specific set of mosquito-virus dyads, including vector competence, aggressiveness, abundance and feeding preferences. Mosquito species endemic in Canada, and two newly established species Aedes aegypti and Ae. albopictus, were included. The following viruses were included: Eastern Equine, Western Equine, St. Louis, West Nile, Cache Valley and California serogroup (including Jamestown Canyon, Snowshoe Hare, Californian encephalitis and La Crosse). The search for literature was performed on literature published until October 2021. A two-steps deduplication process was conducted including a first round within The Systematic Review Assistant-Deduplication Module (SRA-DM) followed by a final step of deduplication within DistillerSR.
Results: A total of 22 000 unique scientific articles were identified after deduplication. Descriptive results from abstract data analyses on mosquitoes and viruses present in geographical areas, presence timeline, and key vector capacity elements will be presented. Results will highlight existing gaps and well documented knowledge areas.
Conclusion: Our results will provide researchers and policymakers with key information to support the development of guidelines for the prevention and mitigation of mosquito-borne diseases endemic or expected to become endemic in Canada. Among other things, the complete database of relevant articles will allow building risk assessment tools for mosquito-borne diseases in Canada.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5a405652-530f-456a-af8d-eecaea7723b6","Title":"Dr.","FirstName":"Antoinette","LastName":"Ludwig","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Ludwig A"},{"PresentationId":"5a405652-530f-456a-af8d-eecaea7723b6","Title":"Dr.","FirstName":"Philippe","LastName":"Berthiaume","Position":"Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Berthiaume P"},{"PresentationId":"5a405652-530f-456a-af8d-eecaea7723b6","Title":null,"FirstName":"Mariola","LastName":"Mascarenhas","Position":"Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Mascarenhas M"},{"PresentationId":"5a405652-530f-456a-af8d-eecaea7723b6","Title":null,"FirstName":"Miariosa Rindra","LastName":"Rakotoarinia","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Rakotoarinia M"},{"PresentationId":"5a405652-530f-456a-af8d-eecaea7723b6","Title":null,"FirstName":"Anirudh ","LastName":"Bakshi","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Bakshi A"},{"PresentationId":"5a405652-530f-456a-af8d-eecaea7723b6","Title":"Dr","FirstName":"Jean-Charles","LastName":"Côté","Position":"Molecular Biologist","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Côté J"},{"PresentationId":"5a405652-530f-456a-af8d-eecaea7723b6","Title":"Dr","FirstName":"Lisa","LastName":"Waddell","Position":"Senior Epidemiologist","Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Waddell L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5a405652-530f-456a-af8d-eecaea7723b6","Number":1,"Affiliation":"Public Health Agency Of Canada","City":"Saint Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Public Health Agency Of Canada, Saint Hyacinthe QC, Canada"}],"AuthorsHtml":"Ludwig A1, Berthiaume P1, Mascarenhas M1, Rakotoarinia M1, Bakshi A1, Côté J, Waddell L","AffiliationsHtml":"
1Public Health Agency Of Canada, Saint Hyacinthe QC, Canada
"}],"DisplayName":"Philippe Berthiaume","TimeDisplay":null},{"ContactId":"c21a78a0-0411-49f2-9ff5-ed2c589faff0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Judy","LastName":"Bettridge","Position":"Fellow In Biostatistics For Food And Agriculture","Organization":"University of Greenwich","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7e352ccfc61a42f88b5fd116e9abc4c5","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Using SNP addresses for Salmonella Typhimurium DT104 in veterinary outbreak detection ","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a7614969-a2ae-46eb-bf1e-6ab52ddd2766","Html":null,"PlainText":"Objective
The SNP address is generated from single-linkage clustering of isolates based on their whole genome sequences and is used in human surveillance for several pathogens. This study compared SNP address with traditional phage typing in outbreak detection of salmonella in veterinary surveillance in Great Britain.
Materials and methods
Two cluster detection algorithms were used to compare models which defined incidents either by a SNP address, generated by SnapperDB software at the UK’s Animal and Plant Health Agency; or by classical phage type definition. Farrington models were run in R on historical UK data up to 2019 to search for temporal clusters, and SaTScan™ scanned sequential quarterly datasets from 2002 to 2019 for prospective spatio-temporal clusters.
Results
Clusters of incidents defined by SNP address were effectively detected by both methods but showed greater advantage over phage type definition for spatio-temporal models, even with few incidents dispersed over a large area. SNP addresses appeared more spatially and temporally limited than phage type (see example Figure showing a selection of 2010 models), which facilitated differentiation between novel and existing clusters. However, the large number of SNP addresses will require automated methods to implement this routinely.
Conclusion
SNP addresses are likely to be a valuable addition to early detection of outbreaks in veterinary surveillance, especially when the spatial dimension is incorporated. Next steps will include investigating the influence of host species and genomic changes over time on the sensitivity and specificity of cluster detection.

Keywords
Salmonella, molecular surveillance, WGS
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1Natural Resources Institute, University of Greenwich, Chatham Maritime Kent, United Kingdom
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Longitudinal data were collected on 20 Dutch dairy farms with an outbreak in dairy cows of clinical M. bovis mastitis or arthritis. Each farm was sampled five times over three months following the onset of the outbreak. Blood, milk, and conjunctival fluid were collected from a subset of the cattle age groups and analyzed using ELISA, culture, and PCR at each sampling. Also, environmental samples were collected. For each age group, M. bovis infections were evaluated over time to explore farm-specific infection dynamics. Using a stratified SIR model, transmission parameters were estimated within and between age groups, also considering environmental sources.

In total, 924 cattle were sampled. From the first sampling onwards, antibodies were detected in all age groups, indicating infection had already spread. Nevertheless, the prevalence of ELISA-positivity was highest in cows and youngstock during the first two samplings but decreased thereafter. In contrast, prevalence of ELISA-positive calves increased over time, which could indicate a route of transmission from cows to calves. During ISVEE ’22, the corresponding transmission parameters per age group per farm will be presented.

To the authors’ knowledge, this type of study is novel and not presented before and will support better control of M. bovis outbreaks on dairy farms.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Title":"Ms.","FirstName":"Marit","LastName":"Biesheuvel","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Biesheuvel M"},{"PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Title":"Dr.","FirstName":"Patty","LastName":"Penterman","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Penterman P"},{"PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Title":"Prof","FirstName":"Gerdien","LastName":"van Schaik","Position":null,"Affiliations":"2,3","IsPresenting":false,"SortOrder":3,"DisplayName":"van Schaik G"},{"PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Title":"Dr.","FirstName":"Caitlin","LastName":"Ward","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Ward C"},{"PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Title":"Prof","FirstName":"Robert","LastName":"Deardon","Position":null,"Affiliations":"1,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Deardon R"},{"PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Title":"Prof","FirstName":"Herman","LastName":"Barkema","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Barkema H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Number":1,"Affiliation":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Number":2,"Affiliation":"Royal GD","City":"Deventer","State":null,"Country":"the Netherlands","AffiliationDisplay":"Royal GD, Deventer, the Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Number":3,"Affiliation":"Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University","City":"Utrecht","State":null,"Country":"the Netherlands","AffiliationDisplay":"Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"82b604aa-3c9c-48a4-b226-a6c87eddafb7","Number":4,"Affiliation":"Department of Mathematics and Statistics, Faculty of Science, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Mathematics and Statistics, Faculty of Science, University of Calgary, Calgary AB, Canada"}],"AuthorsHtml":"Biesheuvel M1, Penterman P2, van Schaik G2,3, Ward C4, Deardon R1,4, Barkema H1","AffiliationsHtml":"
1Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada
2Royal GD, Deventer, the Netherlands
3Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
4Department of Mathematics and Statistics, Faculty of Science, University of Calgary, Calgary AB, Canada
"}],"DisplayName":"Marit Biesheuvel","TimeDisplay":null},{"ContactId":"78d5d850-765a-47dc-adc6-2dd63e275f56","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Colin","LastName":"Birch","Position":"Lead Statistician","Organization":"Animal And Plant Health Agency","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e6bbcf4270954b36a489de0b8d2fb2b2","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"An analysis of the impact of badger control on bovine tuberculosis in England","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f002cad3-f498-4110-84d2-a3d16319c66f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.B - Disease Control and Eradication Programs","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"77c7f249-eba4-413a-aebd-77548589121a","Html":null,"PlainText":"Objective: Bovine tuberculosis (bTB) resulting from infection by Mycobacterium bovis causes substantial losses of cattle in England, particularly across the South West and West Midlands. The European badger (Meles meles) is one source of infection. Since 2013, a badger culling policy (BCP) has been applied to reduce the incidence of bTB in cattle. Widespread systematic culling by industry has been licenced in areas of 200 to 1300 km² for a minimum of four years. We present an analysis of the effects from the BCP to the end of 2020.

Materials and Methods: By 2019 the assignment of land to BCP measures left insufficient unaffected area for a cross-sectional comparison of bTB in cattle between cull areas and non-culled areas. Instead, effects were estimated using a linear model of bTB incidence in 42 areas subject to BCP by 2019. The model compared confirmed bTB incidence rates within each area before and after culling started, and between areas that started culling in different years. The model factor variables were area identity, year, and 6 levels for a management factor: before culling and the 1st, 2nd, 3rd, 4th, and later years after culling started.

Results:
Figure 1. Marginal effects on confirmed bTB incidence rate associated with duration of badger control. Error bars indicate 95% confidence intervals.

Conclusion: Within the large area under BCP measures by 2019, reduced bTB incidence at a local level was significantly associated with time after the start of badger culling.

Keywords: Bovine tuberculosis, Badger, Wildlife reservoir, Mycobacterium, Linear model
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"77c7f249-eba4-413a-aebd-77548589121a","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/26a801864f404b53aa131360eae56660","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"77c7f249-eba4-413a-aebd-77548589121a","Title":"Dr.","FirstName":"Colin","LastName":"Birch","Position":"Lead Statistician","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Birch C"},{"PresentationId":"77c7f249-eba4-413a-aebd-77548589121a","Title":"Mrs","FirstName":"Alison","LastName":"Prosser","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Prosser A"},{"PresentationId":"77c7f249-eba4-413a-aebd-77548589121a","Title":"Mr","FirstName":"Dan","LastName":"Brown","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Brown D"},{"PresentationId":"77c7f249-eba4-413a-aebd-77548589121a","Title":"Dr","FirstName":"Sara H","LastName":"Downs","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Downs S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"77c7f249-eba4-413a-aebd-77548589121a","Number":1,"Affiliation":"Animal and Plant Health Agency","City":"Weybridge","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"Animal and Plant Health Agency, Weybridge Surrey, United Kingdom"}],"AuthorsHtml":"Birch C1, Prosser A1, Brown D1, Downs S1","AffiliationsHtml":"
1Animal and Plant Health Agency, Weybridge Surrey, United Kingdom
"}],"DisplayName":"Colin Birch","TimeDisplay":null},{"ContactId":"b28a89a6-966e-4988-a05e-4f77472df7fd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Shona","LastName":"Bloodworth","Position":"","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/08094a7cd90440099a67f17b561acd6d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Factors associated with vaccination uptake in UK companion animals ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"59a6345c-0a5e-4145-929d-90dd09b5ca21","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Html":null,"PlainText":"Objectives
This study aimed to estimate vaccination uptake in UK cat and dog populations. It also explores the temporal, spatial and human socioeconomic factors that may be associated with vaccination uptake in companion animals, with the aim of improving understanding of the rationale behind owner’s choice to accept or reject vaccinations on behalf of their animals.

Materials and methods
Electronic health records from approximately 10% of UK first opinion veterinary practices were used to gather the vaccination records of 294,888 cats and 617,740 dogs.
Animals who had at least one record of a vaccination event were considered to be vaccinated. To explore factors associated with vaccination uptake, a generalised additive mixed model approach was used. Neutering, sex, index of multiple deprivation associated with owner postcode and year of birth were included as fixed effects, whereas veterinary practice was included as a random effect.

Results
Vaccination rates were higher in dogs than cats; 80.6% (CI 80.5-80.7%) of dogs and 72.3% (CI 72.2-72.5%) of cats had a record of a vaccination event. In both cats and dogs, neutering was positively associated with an animal having a vaccination recorded, dogs (OR 1.82, 95% CI 1.81- 1.83); cats (OR 2.17, 95% CI 2.17 - 2.17).
Animals of owners living in the most deprived quintile were less likely to have a record of vaccination. Exploration of vaccination uptake over time found animals born more recently to be more likely to have a vaccination recorded.

Conclusion
Despite guidelines recommending all companion animals receive at least one core vaccination, over 20% of animals in this study had no record of a vaccination event. Factors associated with vaccine uptake reported will be used to inform ongoing qualitative research in this area, along with development of targeted information to encourage uptake of vaccination in companion animals across the UK.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Title":"Ms.","FirstName":"Shona","LastName":"Bloodworth","Position":null,"Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Bloodworth S"},{"PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Title":"Prof.","FirstName":"Gina","LastName":"Pinchbeck","Position":"Reader in Veterinary Epidemiology","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Pinchbeck G"},{"PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Title":"Dr","FirstName":"David","LastName":"Singleton","Position":"Research fellow","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Singleton D"},{"PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Title":"Prof.","FirstName":"Alan","LastName":"Radford","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Radford A"},{"PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Title":"Professor","FirstName":"Elizabeth","LastName":"Perkins","Position":"William Rathbone VI Chair of Community Nursing","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Perkins E"},{"PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Title":"Dr. ","FirstName":"Cassandra","LastName":"Raby","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Raby C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Number":1,"Affiliation":"University Of Liverpool","City":"Liverpool","State":"Merseyside","Country":"United Kingdom","AffiliationDisplay":"University Of Liverpool, Liverpool Merseyside, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Number":2,"Affiliation":"BSAVA PetSavers","City":"Quedgeley","State":"Gloucestershire","Country":"United Kingdom","AffiliationDisplay":"BSAVA PetSavers, Quedgeley Gloucestershire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb441550-f771-40e6-a851-edb785e17515","Number":3,"Affiliation":"University of Leeds","City":"Leeds","State":null,"Country":"United Kingdom","AffiliationDisplay":"University of Leeds, Leeds, United Kingdom"}],"AuthorsHtml":"Bloodworth S, Pinchbeck G, Singleton D, Radford A, Perkins E, Raby C3","AffiliationsHtml":"
1University Of Liverpool, Liverpool Merseyside, United Kingdom
2BSAVA PetSavers, Quedgeley Gloucestershire, United Kingdom
3University of Leeds, Leeds, United Kingdom
"}],"DisplayName":"Shona Bloodworth","TimeDisplay":null},{"ContactId":"f379e9ed-a511-4bd0-a72e-bc8f9043742c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Annette","LastName":"Boerlage","Position":"Aquatic Epidemiologist","Organization":"Scotland's Rural College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eaac608d936f467d9f8ff93832cce537","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Annette Boerlage an aquatic epidemiologist who uses statistical and mathematical models to get insight into the interactions between environment, host and pathogen in aquaculture systems, with the goal to deliver evidence based information that can improve health management, mitigate disease and mortality, and improve sustainability of the sector. She has experience with a variety of aquaculture systems and challenges related to aquaculture, ranging from extensive integrated agriculture-aquaculture production systems with zoonotic neglected tropical diseases in Vietnam to intensive Atlantic salmon culture in Scotland with gill disease challenges associated to jellyfish. She enjoys the challenge of analysing large complex dataset, and has a special interest in recycling data and using open source data, such as data obtained from satellite observations, to enhance statistical models.


","Presentations":[{"Title":"Multifactorial marine gill diseases of Atlantic salmon: challenges and opportunities ","Bio":"Dr. Annette Boerlage an aquatic epidemiologist who uses statistical and mathematical models to get insight into the interactions between environment, host and pathogen in aquaculture systems, with the goal to deliver evidence based information that can improve health management, mitigate disease and mortality, and improve sustainability of the sector. She has experience with a variety of aquaculture systems and challenges related to aquaculture, ranging from extensive integrated agriculture-aquaculture production systems with zoonotic neglected tropical diseases in Vietnam to intensive Atlantic salmon culture in Scotland with gill disease challenges associated to jellyfish. She enjoys the challenge of analysing large complex dataset, and has a special interest in recycling data and using open source data, such as data obtained from satellite observations, to enhance statistical models. \r\n\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"84014ab9-7df8-45c4-91df-995bc0c06e09","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"7_Special Session: Aquatic Epidemiology for Sustainable Food Animal Production Progress, Opportunities and Challenges","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"a3734773-1e25-4603-a8a1-115cf4e2e35d","Html":null,"PlainText":"Keywords: aquaculture, Bayesian latent class models, sample size, ecology

Marine gill disease is a significant health challenge for Atlantic salmon. Complex gill disease (CGD), a form of marine gill disease, is especially complicated because principle pathological changes are non-specific, and causes are often multifactorial including infectious and non-infectious components. This talk will provide examples of challenges and opportunities of developing evidence-based insights on marine gill diseases resulting from epidemiological queries.

In the absence of a single distinctive causative agent and concerns about the sampling protocol, we used Bayesian latent class analysis to estimate diagnostic sensitivity and specificity of common tests for marine gill diseases in the field. Gross gill scores were medium to good in designating truly diseased fish and excellent in designating non-diseased fish implying that quick and affordable field observations are worthwhile, but an optimal surveillance strategy should include different types of tests. We used different methods to explore variation in test results at fish and pen level to deliver a decision support tool that can help evaluate sampling strategies for marine gill diseases. Zooplankton and phytoplankton are putative non-infectious drivers of marine gill disease. Their association to gill disease was explored using ecology indices and multivariate models. Their significance to CGD cases is not consistent, making this research challenging.

Amongst many challenges, it has become clear that even in the absence of a clear causative agent there are insights to be gained that develop our understanding of CGD and provide a base for further research so that, instead of `searching for a needle in a haystack` we can now `search for a hayfork in a haystack`. The increase in research on marine gill health of Atlantic salmon worldwide is rapidly contributing to a better understanding that may lead to a better management and increased productivity.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a3734773-1e25-4603-a8a1-115cf4e2e35d","Title":"Ms.","FirstName":"Annette","LastName":"Boerlage","Position":"Aquatic Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Boerlage A"},{"PresentationId":"a3734773-1e25-4603-a8a1-115cf4e2e35d","Title":"Dr","FirstName":"Roger","LastName":"Humphry","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Humphry R"},{"PresentationId":"a3734773-1e25-4603-a8a1-115cf4e2e35d","Title":"Mr.","FirstName":"Jude","LastName":"Eze","Position":"Quantitative Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Eze J"},{"PresentationId":"a3734773-1e25-4603-a8a1-115cf4e2e35d","Title":"Dr.","FirstName":"George","LastName":"Gunn","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Gunn G"},{"PresentationId":"a3734773-1e25-4603-a8a1-115cf4e2e35d","Title":"Dr.","FirstName":"Aaron","LastName":"Reeves","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Reeves A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a3734773-1e25-4603-a8a1-115cf4e2e35d","Number":1,"Affiliation":"Scotland's Rural College","City":"Inverness","State":"Highlands","Country":"United Kingdom","AffiliationDisplay":"Scotland's Rural College, Inverness Highlands, United Kingdom"}],"AuthorsHtml":"Boerlage A1, Humphry R1, Eze J1, Gunn G1, Reeves A1","AffiliationsHtml":"
1Scotland's Rural College, Inverness Highlands, United Kingdom
"},{"Title":"Only dead fish follow the flow….Shedding light on mortality in salmonid aquaculture","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"230e48f5-c7fd-47a9-8b8c-6569f407af89","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Html":null,"PlainText":"Keywords: Mortality – Aquaculture – Atlantic salmon – Sustainability –Regression model

Mortality in the marine grow-out phase of salmon production is significant. For example, in Norway mortality has been around 14-17% annually over the last decade, which amounts to more than 50 million fish each year that do not finish production from smolt to harvest. This loss poses a challenge for sustainability, fish health and welfare, and ethically sound production.

To understand the drivers of mortality better and provide tools for decision making for producers in Norway and Scotland, we have investigated the effect of environmental and health management factors on mortality. For both countries, we used data on monthly mortality from every salmon farm reported to the competent authorities to build models that can help explain mortality. In Norway, we additionally followed up with a smaller time scale, using daily production and mortality data from 82 individual farms from five large salmon producing companies.

For Norway, we found for both the national and the detailed dataset that salinity and temperature are important factors influencing mortality. Treatments of the salmon against salmon lice using heated water or mechanical removal were the most important factors for mortality in both studies. Geography, weight of fish, and infections by salmon pancreas disease virus also contributed. The variation between fish groups on a farm and between farms in an area were considerable. In Scotland, we found that especially temperature and the production phase were important factors, with most variation between site cycles.

Finally, we built an interactive application (http://apps.vetinst.no/Laksetap/) with descriptions of salmon mortality for Norwegian aquaculture, that shows a dashboard and could be extended to Scotland. Such tools and model results provide insights into the mortality determinants in salmon production, and a possibility for producers to benchmark themselves, that was lacking so far.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Title":"Dr.","FirstName":"Annette","LastName":"Boerlage","Position":"Aquatic Epidemiologist","Affiliations":"2","IsPresenting":true,"SortOrder":1,"DisplayName":"Boerlage A"},{"PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Title":null,"FirstName":"Magne","LastName":"Aldrin","Position":"Senior scientist","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Aldrin M"},{"PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Title":null,"FirstName":"Ingunn","LastName":"Fride Tvete","Position":"Senior scientist","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Fride Tvete I"},{"PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Title":null,"FirstName":"Katharine","LastName":"R. Dean","Position":"Scientist","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"R. Dean K"},{"PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Title":"Dr.","FirstName":"Britt","LastName":"Bang Jensen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Bang Jensen B"},{"PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Title":null,"FirstName":"Victor","LastName":"H.S. Oliveira","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"H.S. Oliveira V"},{"PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Title":null,"FirstName":"Ana R.I.","LastName":"Ferreira","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Ferreira A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Number":1,"Affiliation":"Norwegian Veterinary Institute","City":"Ås","State":"Viken","Country":"Norway","AffiliationDisplay":"Norwegian Veterinary Institute, Ås Viken, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5455aa9e-88c0-426b-bdcd-f4093c57b787","Number":2,"Affiliation":"Scotland's Rural College","City":null,"State":"Inverness Highlands","Country":"United Kingdom","AffiliationDisplay":"Scotland's Rural College, Inverness Highlands, United Kingdom"}],"AuthorsHtml":"Boerlage A2, Aldrin M, Fride Tvete I, R. Dean K, Bang Jensen B1, H.S. Oliveira V, Ferreira A2","AffiliationsHtml":"
1Norwegian Veterinary Institute, Ås Viken, Norway
2Scotland's Rural College, Inverness Highlands, United Kingdom
"}],"DisplayName":"Annette Boerlage","TimeDisplay":null},{"ContactId":"81c8851c-3a5f-449a-a6b6-e016896b1eb9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marloes","LastName":"Boeters","Position":"Phd Student","Organization":"Utrecht University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The DECIDE project: from surveillance data to decision support for farmers and veterinarians","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"000e7006-a4de-44ac-9754-75b14228ffca","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.A - Production diseases","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"fa96e92c-62fd-4279-ace1-f83e2014f035","Html":null,"PlainText":"Farmers, veterinarians and other animal health managers in the livestock sector are currently missing information on prevalence and burden of endemic contagious animal diseases. They need adequate tools for risk assessment and for prioritisation of control measures for these diseases. The aim of the DECIDE project is to develop data-driven decision support tools, which present (i) robust and early signals of disease emergence and options for diagnostic confirmation; and (ii) options for controlling the disease along with their implications in terms of disease spread, economic burden and animal welfare.
DECIDE will focus on respiratory and gastro-intestinal syndromes in the three most important terrestrial livestock species (pigs, poultry, cattle) and on reduced growth and mortality in salmonids, important aquaculture species. For each of these, we will (i) identify the stakeholder needs; (ii) determine the burden of disease and costs of control measures; (iii) develop data sharing frameworks based on federated data access and meta-information sharing; and (iv) build multivariate and multi-level models for creating an early warning system. Together, all of this will form the decision support tools to be integrated in existing farm management systems wherever possible and to be evaluated in several pilot implementations in farms across Europe.
Figure 1 depicts the concept of the DECIDE project. The results of DECIDE will lead to improved use of surveillance data and evidence-based decisions on disease control to increase animal health and welfare and protect human health and the food chain in Europe and beyond.

syndromic surveillance, decision support tools, socio-economics","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"fa96e92c-62fd-4279-ace1-f83e2014f035","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e5e8d80ad84949fca7ff915cb0ce0d52","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"fa96e92c-62fd-4279-ace1-f83e2014f035","Title":"Prof.","FirstName":"Gerdien","LastName":"Van Schaik","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Van Schaik G"},{"PresentationId":"fa96e92c-62fd-4279-ace1-f83e2014f035","Title":null,"FirstName":null,"LastName":"Representing the core group of the DECIDE project: Hostens,","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Representing the core group of the DECIDE project: Hostens,"},{"PresentationId":"fa96e92c-62fd-4279-ace1-f83e2014f035","Title":null,"FirstName":"Marloes","LastName":"Boeters","Position":null,"Affiliations":null,"IsPresenting":true,"SortOrder":3,"DisplayName":"Boeters M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fa96e92c-62fd-4279-ace1-f83e2014f035","Number":1,"Affiliation":"Department of population health sciences, Faculty of Veterinary Medicine, Utrecht University","City":"Utrecht","State":null,"Country":"Netherlands","AffiliationDisplay":"Department of population health sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fa96e92c-62fd-4279-ace1-f83e2014f035","Number":2,"Affiliation":"Royal GD","City":"Deventer","State":null,"Country":"Netherlands","AffiliationDisplay":"Royal GD, Deventer, Netherlands"}],"AuthorsHtml":"Van Schaik G1,2, Representing the core group of the DECIDE project: Hostens,, Boeters M","AffiliationsHtml":"
1Department of population health sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
2Royal GD, Deventer, Netherlands
"}],"DisplayName":"Marloes Boeters","TimeDisplay":null},{"ContactId":"1bd5b404-f980-4a7c-bd78-e219b5ee450b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"John","LastName":"Bonestroo","Position":"Phd Student","Organization":"DeLaval International","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5d3cf4c551684a8fa4235d1d4d3fd996","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The costs of chronic mastitis: estimating the importance of chronic cows in the total cost of mastitis ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"33b57484-c325-407c-aa1f-8fe1e2c2f1aa","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Html":null,"PlainText":"Keywords: economic burden estimation, udder inflammation, chronicity, dairy cow

Objective
Mastitis is a production disease in dairy farming that causes economic losses. Especially chronic mastitis can have substantial effects on the risk of transmission of mastitis. With current sensor technology, we are able to intervene in chronic mastitis. However, chronic mastitis costs were not estimated before to our knowledge. To guide sensor-based chronic mastitis decision-making, insights into the impact of chronic mastitis on farm economics is needed. Our aim was to estimate the costs of chronic mastitis.

Materials and methods
We developed a Monte Carlo simulation model in which the costs of chronic mastitis were estimated as part of the total mastitis costs. The model simulated milk yields, IMI dynamics, somatic cell count, and pregnancy status on a typical Dutch farm with 100 cow places over 7 years. The model was parameterized using information from literature as well as from collected sensor data. The daily subclinical mastitis related milk production losses were modelled using a generalized additive model. Clinical mastitis related milk loss, transmission of IMI and farmer measures were also modelled.

Results
The median total cost of mastitis was €208 per generic mastitis case, while the median total cost due to chronic mastitis was €104 per case. The share of chronic mastitis relative to the total mastitis costs was substantial and approximately 50%. The costs of chronic mastitis were mainly caused by the transmission of ongoing cases, culling and milk production losses.

Conclusion
The high share of chronic mastitis costs in the total costs of mastitis underlines the importance to monitor, manage and prevent chronic mastitis to reduce overall costs related to mastitis in a herd. As current developments in the application of sensors enable better identification of chronic mastitis, management regarding chronic mastitis should get more attention.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Title":"Mr.","FirstName":"John","LastName":"Bonestroo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bonestroo J"},{"PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Title":"dr.","FirstName":"Nils","LastName":"Fall","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Fall N"},{"PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Title":"dr.","FirstName":"Henk","LastName":"Hogeveen","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Hogeveen H"},{"PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Title":"dr.","FirstName":"Ulf","LastName":"Emanuelson","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Emanuelson U"},{"PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Title":"dr.","FirstName":"Ilka Christine","LastName":"Klaas","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Klaas I"},{"PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Title":"dr.","FirstName":"Mariska","LastName":"Van der Voort","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Van der Voort M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Number":1,"Affiliation":"Delaval International","City":"Tumba","State":"Botkyrka","Country":"Sweden","AffiliationDisplay":"Delaval International, Tumba Botkyrka, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Number":2,"Affiliation":"Wageningen University and Research","City":"Wageningen","State":"Gelderland","Country":"The Netherlands","AffiliationDisplay":"Wageningen University and Research, Wageningen Gelderland, The Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b7f82ea0-38e2-492d-9372-f6c68d50c841","Number":3,"Affiliation":"Swedish University of Agricultural Sciences","City":"Uppsala","State":"Uppland","Country":"Sweden","AffiliationDisplay":"Swedish University of Agricultural Sciences, Uppsala Uppland, Sweden"}],"AuthorsHtml":"Bonestroo J1, Fall N3, Hogeveen H2, Emanuelson U3, Klaas I1, Van der Voort M2","AffiliationsHtml":"
1Delaval International, Tumba Botkyrka, Sweden
2Wageningen University and Research, Wageningen Gelderland, The Netherlands
3Swedish University of Agricultural Sciences, Uppsala Uppland, Sweden
"}],"DisplayName":"John Bonestroo","TimeDisplay":null},{"ContactId":"b4ac31b8-4646-48f8-8ebc-4bb29f764850","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Bassirou","LastName":"Bonfoh","Position":"Director","Organization":"CSRS","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b309ea25759f47a2bf5d7a7de0999dd0","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Bassirou Bonfoh is from Togo and holds a DVM and a PhD in epidemiology. He worked for 5 years (1995-2000) in West Africa as a livestock development program coordinator for Vétérinaires Sans Frontières. He went for a 4 year (2000-2004) epidemiology postdoctoral fellowship at the Swiss Federal Institute of Technology Zurich (ETHZ) and Swiss Tropical and Public Health Institute (Swiss TPH). He subsequently led for 4 years (2004-2008) a research group in the Horn of Africa, West Africa and Central Asia where he contributed to validate the One Health concept. Between 2009-2018, he was the Managing Director of CSRS where he led the North-South science diplomacy. Since 2009, he is currently the Director of the consortium Afrique One contributing to the capacity development on zoonotic diseases elimination. Bassirou is a guest lecturer at University of Liège (Belgium) and at the Pan African veterinary school (Senegal) where he is also the chair of the scientific advisory board. He has researched numerous zoonoses and One Health topics with a focus on African countries. He has developed modules on soft skills for researchers in Africa (www.afriqueone.net(link is external)) comprising research administration management and governance, research design and science communication and contributed to develop the “Participatory Risk Analysis” methods for animal source food in informal sector.","Presentations":[{"Title":"Managing AMR with the operationalization of One Health","Bio":"Dr. Bassirou Bonfoh is from Togo and holds a DVM and a PhD in epidemiology. He worked for 5 years (1995-2000) in West Africa as a livestock development program coordinator for Vétérinaires Sans Frontières. He went for a 4 year (2000-2004) epidemiology postdoctoral fellowship at the Swiss Federal Institute of Technology Zurich (ETHZ) and Swiss Tropical and Public Health Institute (Swiss TPH). He subsequently led for 4 years (2004-2008) a research group in the Horn of Africa, West Africa and Central Asia where he contributed to validate the One Health concept. Between 2009-2018, he was the Managing Director of CSRS where he led the North-South science diplomacy. Since 2009, he is currently the Director of the consortium Afrique One contributing to the capacity development on zoonotic diseases elimination. Bassirou is a guest lecturer at University of Liège (Belgium) and at the Pan African veterinary school (Senegal) where he is also the chair of the scientific advisory board. He has researched numerous zoonoses and One Health topics with a focus on African countries. He has developed modules on soft skills for researchers in Africa (www.afriqueone.net(link is external)) comprising research administration management and governance, research design and science communication and contributed to develop the “Participatory Risk Analysis” methods for animal source food in informal sector.","PresentationTypeName":"Plenary Lecture","Session":{"Id":"f9eb62f2-a3a3-472b-a165-af14969460d0","Date":"2022-08-09T00:00:00+00:00","StartTime":"08:45:00","EndTime":"09:30:00","Name":"KEYNOTE: Managing AMR with the operationalization of One Health","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"8:45 AM - 9:30 AM"},"Documents":[{"PresentationId":"eca6eec9-2c99-40aa-99d6-18a9597fecae","Html":null,"PlainText":"Health in its different components is considered as a public good that is an outcome of socio-ecological systems. The increasing magnitude of AMR in such systems is the result of the use of synthetic and the exposure to the potential environmental antimicrobials. Public health is therefore under an increased threat of AMR and currently, efforts have been made to understand the main drivers and consequences. We argue that the One Health approach, which promotes intersectoral collaboration, can bring a societal added value and change in the prevention of AMR.

Based on two decades of One Health research in Africa on global health threats, the AMR problem has been analysed in the dairy sector, TB treatment, food system and Neglected Tropical Diseases in the frame of the Afrique One consortium. The integrated analysis and management of AMR in the health system using the One Health concept has shown that the problem is often not noticed or does not receive enough attention, a situation that firstly points out the weaknesses of public governance responsibilities, secondly questions the effectiveness of current communication and conventional interventions in AMR mitigation.

We lack knowledge about compliance with new regulation and behaviour change around future AMR threats. The incentives in the food system, the economic driver of antimicrobial uses and the multiscale governance system at the agriculture, nutrition and health interfaces are the bottom line of AMR management. Thus, One Health principles offer opportunities for mutual learning, shared resources such as transformative knowledge, laboratories and human capacities in AMR surveillance-response system.

Key words: AMR, One Health, Governance, Surveillance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"eca6eec9-2c99-40aa-99d6-18a9597fecae","Title":"Mr.","FirstName":"Bassirou","LastName":"Bonfoh","Position":"Director","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Bonfoh B"}],"Affiliations":[],"AuthorsHtml":"Bonfoh B","AffiliationsHtml":""}],"DisplayName":"Bassirou Bonfoh","TimeDisplay":null},{"ContactId":"3539577b-e421-4df9-b9af-4022cc9a4cc6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Peter","LastName":"Bonney","Position":"","Organization":"University of Minnesota","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"African swine fever clinical presentation and transmission patterns in an infected boar stud","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4494347e-0d84-4bd8-b95a-2822b218f248","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Html":null,"PlainText":"Boars in a stud on an Asian farrow-to-finish farm tested positive for African Swine Fever virus (ASFV) in March of 2019. We describe the case in the boars and model the spread of ASFV using a heterogeneous disease transmission model to characterize the spread pattern and infer possible spread mechanisms.

The farrow-to-finish farm, besides having gestation, farrowing, nursery and finishing pig barns, had two boar stud barns each housing 60 boars in individual pens. A total of 16 boars had clinical signs consistent with ASF between the two barns before depopulation was initiated following an ASFV-positive diagnostic test result. The case information consisted of the number and location of sick boars, daily mortality, and descriptions of the clinical signs. Using these data, we estimated parameters for a heterogeneous disease transmission model. Briefly, the heterogenous model captures within-barn transmission due to direct contacts between pigs in adjacent pens and transmission due to distance-independent, fomite-mediated spread. The model can also capture between-barn transmission. Transmission parameters and the time of virus introduction were estimated using an Approximate Bayesian Computation approach, which involves selecting parameter sets that produce simulated output resembling the observed data.

Clinical signs in the boars included depression, anorexia, and low-grade fevers (~40C). Boars died within 1 to 3 days after displaying clinical signs. Disease spread in both barns was highly clustered with the majority of transmission estimated to be from direct pig-to-pig contact by pigs in adjacent pens.

This report and analysis of a case where boars were infected with ASFV on a commercial premises in Asia provides critical information on the clinical presentation and spread of ASF within boar barns. The information can help inform outbreak response planning such as designing active surveillance protocols for boar studs.

Keywords
African Swine Fever; boar stud; mathematical modelling; disease transmission
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Title":"Mr.","FirstName":"Peter","LastName":"Bonney","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bonney P"},{"PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Title":"Dr.","FirstName":"Vu Dinh","LastName":"Ton","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ton V"},{"PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Title":"Dr.","FirstName":"Sasidhar","LastName":"Malladi","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Malladi S"},{"PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Title":null,"FirstName":"Nguyen","LastName":"Nga","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Nga N"},{"PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Title":"Dr.","FirstName":"Amos","LastName":"Ssematimba","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Ssematimba A"},{"PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Title":null,"FirstName":"Benjamin","LastName":"Blair","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Blair B"},{"PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Title":"Dr.","FirstName":"Cesar","LastName":"Corzo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Corzo C"},{"PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Title":"Dr.","FirstName":"Marie","LastName":"Culhane","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Culhane M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Number":1,"Affiliation":"College of Veterinary Medicine, University Of Minnesota","City":"Saint Paul","State":"MN","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine, University Of Minnesota, Saint Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Number":2,"Affiliation":"Vietnam National University of Agriculture","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"Vietnam National University of Agriculture, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"98a03a3e-52fe-444f-b91a-21290f7a8d78","Number":3,"Affiliation":"Gulu University","City":"Gulu","State":null,"Country":"Uganda","AffiliationDisplay":"Gulu University, Gulu, Uganda"}],"AuthorsHtml":"Bonney P1, Ton V2, Malladi S1, Nga N2, Ssematimba A1,3, Blair B1, Corzo C1, Culhane M1","AffiliationsHtml":"
1College of Veterinary Medicine, University Of Minnesota, Saint Paul MN, USA
2Vietnam National University of Agriculture, Hanoi, Vietnam
3Gulu University, Gulu, Uganda
"}],"DisplayName":"Peter Bonney","TimeDisplay":null},{"ContactId":"86bcb480-c809-42e9-9910-4ae230bfc0b4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marion","LastName":"Bordier","Position":"","Organization":"CIRAD","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/748c8da30d0a497ab662e92d01b31275","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"ECoSur (Evaluation of Collaboration for Surveillance): A tool to evaluate collaboration in multisectoral surveillance systems.","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"42eb85b1-89dc-4bb0-8e00-20825ddee899","Html":null,"PlainText":"Objective
In line with the One Health concept, international organizations and the scientific community are strongly supporting the implementation of multisectoral surveillance systems to improve the management of health hazards at the human-animal-environment interface. Such surveillance systems call for the establishment of collaboration across sectors and disciplines that must be evaluated to ensure they are appropriate and functional to produce the expected results. In this context, we aimed to developed a tool, ECoSur (Evaluation of Collaboration for Surveillance), to evaluate collaboration taking place in a multisectoral surveillance system.

Materials and Methods
Based on core collaborative characteristics for the governance and operation of surveillance activities and attributes used in existing evaluation framework for surveillance and One Health initiatives, we have developed a list of attributes and indexes to evaluate the organisation and functioning (at both governance and operational levels) and functions of collaboration in a multisectoral surveillance system.

Results
The developed tool consists of an evaluation matrix (one spreadsheet), documents to collect necessary data to conduct the evaluation (one spreadsheet and one text document) and a guidance for potential users. Evaluation results are automatically generated and displayed in graphical representations. The tool was effectively applied to surveillance of different type of health hazards (antimicrobial resistance, foodborne pathogens and zoonotic diseases) and in different surveillance contexts (well-established surveillance systems and in-development ones), both in developed and developing countries.

Conclusion
ECoSur is the first evaluation that allows an in-depth evaluation of collaboration between surveillance programmes in line with the One Health context. The tools has provided evidence of its applicability and adaptability, as well as its capacity to engage surveillance actors in the evaluation of the surveillance system they are involved in and in the formulation of collective recommendations

Key words: collaboration, evaluation, multisectoral, One Health, surveillance.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"42eb85b1-89dc-4bb0-8e00-20825ddee899","Title":"Dr.","FirstName":"Marion","LastName":"Bordier","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bordier M"},{"PresentationId":"42eb85b1-89dc-4bb0-8e00-20825ddee899","Title":"Mrs","FirstName":"Camille","LastName":"Delavenne","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Delavenne C"},{"PresentationId":"42eb85b1-89dc-4bb0-8e00-20825ddee899","Title":"Mrs","FirstName":"Dung Thuy","LastName":"Nguyen","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Nguyen D"},{"PresentationId":"42eb85b1-89dc-4bb0-8e00-20825ddee899","Title":"Dr","FirstName":"Flavie","LastName":"Goutard","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Goutard F"},{"PresentationId":"42eb85b1-89dc-4bb0-8e00-20825ddee899","Title":"Dr","FirstName":"Pascal","LastName":"Hendrikx","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Hendrikx P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"42eb85b1-89dc-4bb0-8e00-20825ddee899","Number":1,"Affiliation":"CIRAD","City":"Dakar","State":"Dakar","Country":"Senegal","AffiliationDisplay":"CIRAD, Dakar Dakar, Senegal"}],"AuthorsHtml":"Bordier M1, Delavenne C, Nguyen D, Goutard F, Hendrikx P","AffiliationsHtml":"
1CIRAD, Dakar Dakar, Senegal
"},{"Title":"EVALUATION OF A PARTICIPATORY PROCESS TO SUPPORT THE CO-DEVELOPMENT OF AN INTEGRATED SURVEILLANCE SYSTEM FOR ANTHRAX IN BUKINA FASO","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Html":null,"PlainText":"Objective
Participatory approaches are increasingly used during policy development to improve stakeholder ownership and compliance. This is particularly the case for integrated surveillance systems (ISS), which require reconciling the expectations and values of a wide range of stakeholders. However, there is a lack of evidence on the impact of such approaches. In this context, we developed and applied a framework to evaluate a participatory process that supports the development of an ISS, using the case study of anthrax in Burkina Faso.
Materials and Methods
The evaluation attributes were identified by conducting a literature review of (i) existing frameworks for the evaluation of public policies and surveillance systems, and (ii) the expected benefits of participatory approaches.. For each attribute, criteria were identified to enable their evaluation. Methods were then defined for measuring these criteria. Finally, the framework was validated by a panel of experts and applied in Burkina Faso.
Results
The framework includes 13 attributes that are classified into 3 categories: quality of the system produced by the participatory process, impact of the process on the participants, and benefits perceived by participants. Each attribute is assessed using from 3 to 5 criteria. Its application to anthrax surveillance in Burkina Faso showed that the participatory process led to the identification of well-adapted and accepted surveillance modalities. Participants improved their knowledge and mutual understanding. Most of them recognised the value of such an approach in moving towards a relevant and sustainable ISS.
Conclusion
The evaluation framework has proved to be efficient to evaluate the impacts of the participatory process. However, long-term impacts (e.g., performance of the system and capacities of actors) will require a longer timeframe for their evaluation. The framework also allows to identify weaknesses of the process and bias in the outputs produced, such as the power unbalance among participants.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Title":"Mr","FirstName":"Désiré Sougrenoma","LastName":"Nana","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Nana D"},{"PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Title":"Dr","FirstName":"Nicolas","LastName":"Antoine Moussiaux","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Antoine Moussiaux N"},{"PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Title":"Dr","FirstName":"Raphaël","LastName":"Duboz","Position":null,"Affiliations":"1,5","IsPresenting":false,"SortOrder":3,"DisplayName":"Duboz R"},{"PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Title":"Dr","FirstName":"Pascal","LastName":"Hendrikx","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Hendrikx P"},{"PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Title":"Dr.","FirstName":"Marion","LastName":"Bordier","Position":"","Affiliations":"1,5","IsPresenting":true,"SortOrder":5,"DisplayName":"Bordier M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Number":1,"Affiliation":"Cirad","City":"Montpelier","State":null,"Country":"France","AffiliationDisplay":"Cirad, Montpelier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Number":2,"Affiliation":"University of Ouagadougou","City":"Ouagadougou","State":null,"Country":"Burkina Faso","AffiliationDisplay":"University of Ouagadougou, Ouagadougou, Burkina Faso"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Number":3,"Affiliation":"Faculty of Veterinary Medicine, University of Liege","City":"Liege","State":null,"Country":"Belgium","AffiliationDisplay":"Faculty of Veterinary Medicine, University of Liege, Liege, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Number":4,"Affiliation":"MAA","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"MAA, Paris, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70925210-5126-4455-8a43-06db41f9a1b2","Number":5,"Affiliation":"ISRA","City":"Dakar","State":null,"Country":"Senegal","AffiliationDisplay":"ISRA, Dakar, Senegal"}],"AuthorsHtml":"Nana D1,2, Antoine Moussiaux N3, Duboz R1,5, Hendrikx P4, Bordier M1,5","AffiliationsHtml":"
1Cirad, Montpelier, France
2University of Ouagadougou, Ouagadougou, Burkina Faso
3Faculty of Veterinary Medicine, University of Liege, Liege, Belgium
4MAA, Paris, France
5ISRA, Dakar, Senegal
"},{"Title":"Towards a matrix to assess the impacts of integrated surveillance of antimicrobial resistance and antimicrobial use.","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9017b791-965c-4a4f-8cb5-94db3d18fa73","Html":null,"PlainText":"Towards a matrix to assess the impacts of integrated surveillance of antimicrobial resistance and antimicrobial use


Introduction
Tackling the challenge of antimicrobial resistance (AMR) requires changes in antimicrobial use (AMU) across human, animal and agricultural sectors. To trigger adequate changes, both at individual as at policy level, all actors in the system must be informed by integrated surveillance. Consequently, it is crucial to assess the impacts of the information produced by such integrated systems to provide evidence of their added value. In this context, we aimed at developing a matrix to assess the impacts of integrated surveillance of AMR and AMU.

Materials and Methods
A preliminary evaluation tool was developed using impact pathway analysis. Using evidence from previous research, evaluation attributes and their indicators were identified for each of the immediate, intermediate and ultimate outcomes. The preliminary tool will be then submitted to a panel of international experts for validation and prioritization according to the surveillance context.

Results
The evaluation matrix includes outcomes´ attributes to assess changes in surveillance performance, stakeholder awareness, knowledge and practices, cross-sectoral collaboration, systems knowledge, AMR risk management, surveillance costs, as well as health and economic impacts. Indicators are either observed or stated, and measured using both qualitative (eg. document analysis, key informant interviews) and quantitative methods (eg. epidemiological, economic analysis). The expert opinion elicitation will allow us to identify the adequate evaluation timeline, as well as the appropriateness of the attributes and indicators depending on the maturity of the evaluated system.

Conclusion
The developed evaluation matrix provides guidance to assess the impacts of integrated surveillance systems of AMR and AMU conducted in a One Health context. It can be used as a stand-alone tool to specifically assess the outcomes of the surveillance system, or in conjunction with existing surveillance tools to provide a comprehensive evaluation of the system.

Keywords

AMR, evaluation, impacts, One Health, integrated surveillance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9017b791-965c-4a4f-8cb5-94db3d18fa73","Title":"Dr.","FirstName":"Marion","LastName":"Bordier","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bordier M"},{"PresentationId":"9017b791-965c-4a4f-8cb5-94db3d18fa73","Title":"Mx.","FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Aenishaenslin C"},{"PresentationId":"9017b791-965c-4a4f-8cb5-94db3d18fa73","Title":"Dr","FirstName":"Laura","LastName":"Tomassone","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Tomassone L"},{"PresentationId":"9017b791-965c-4a4f-8cb5-94db3d18fa73","Title":"Dr","FirstName":"Luis Pedro","LastName":"Carmo","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Carmo L"},{"PresentationId":"9017b791-965c-4a4f-8cb5-94db3d18fa73","Title":"Dr","FirstName":"Nicolas","LastName":"Antoine Moussiaux","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Antoine Moussiaux N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9017b791-965c-4a4f-8cb5-94db3d18fa73","Number":1,"Affiliation":"CIRAD","City":"Dakar","State":"Dakar","Country":"Senegal","AffiliationDisplay":"CIRAD, Dakar Dakar, Senegal"}],"AuthorsHtml":"Bordier M1, Aenishaenslin C, Tomassone L, Carmo L, Antoine Moussiaux N","AffiliationsHtml":"
1CIRAD, Dakar Dakar, Senegal
"},{"Title":"Peste des petits ruminants status in Plateau State, Nigeria","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a16a66a7-b71c-46e1-924e-61f777a167f6","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Html":null,"PlainText":"Objective(s)
Peste des petits ruminants (PPR) is a highly contagious disease with morbidity and mortality in small ruminants. Information about its epidemiological patterns is currently insufficient to develop appropriate control strategies in Plateau, Nigeria. This study aimed at identifying the distribution of the disease and the prevalence in sheep and goats, as well as at investigating the potential risk factors.

Material and methods
A sample of 200 villages were investigated across the 17 Local government areas (LGA) of Plateau. In each village, serum samples were collected from 10 animals in two different herds. Presence of antibodies was evaluated using ELISA test. We considered a village positive if at least one animal was positive. We applied a mix model with nested random effects of LGA, villages and herds to account for the aggregation structure of the sampled animals.

Results
In total, we sampled 2000 animals, 766 sheep and 1234 goats. The prevalence of positive villages was 84% with no significant difference across the LGA. Seroprevalence was higher in sheep (38.2%) than in goats (29.7%), and in adults (36.7%) than in young animals (29.3%). However, there is no significant difference between males and females. Lowest seropositivity level was observed in the local breed for goats and in Yankasa breed for sheep. Herds with a large size and made up exclusively of sheep were associated with higher seroreprevalence.


Conclusion
The findings of this extensive seroprevalence survey imply that there is a widespread occurrence of PPR among small ruminants in Plateau. They also suggest that PPR is one of the major disease militating against sheep and goat production that call for effective control measures. Combined with other data generated by mobility, participatory epidemiological and socio-economics surveys, these results will support the development of effective preventive and control measures.

Keywords
PPR, Nigeria, seroprevalence.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Title":"Dr.","FirstName":"Marion","LastName":"Bordier","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Bordier M"},{"PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Title":"Dr","FirstName":"Vladimir","LastName":"Grosbois","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Grosbois V"},{"PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Title":"Mr","FirstName":"Usman","LastName":"Rayaanu","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Rayaanu U"},{"PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Title":"Mr","FirstName":"Mayowa","LastName":"Olabode","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Olabode M"},{"PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Title":"Dr","FirstName":"Salomon","LastName":"Chollom","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Chollom S"},{"PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Title":"Dr","FirstName":"Muhammad","LastName":"Bolajoko","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Bolajoko M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Number":1,"Affiliation":"Cirad","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"Cirad, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Number":2,"Affiliation":"ISRA","City":"Dakar","State":null,"Country":"Senegal","AffiliationDisplay":"ISRA, Dakar, Senegal"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb552937-44e3-4ce2-b1f8-e6d79106860c","Number":3,"Affiliation":"NVRI","City":"Vom","State":null,"Country":"Nigeria","AffiliationDisplay":"NVRI, Vom, Nigeria"}],"AuthorsHtml":"Bordier M1,2, Grosbois V1, Rayaanu U3, Olabode M3, Chollom S3, Bolajoko M3","AffiliationsHtml":"
1Cirad, Montpellier, France
2ISRA, Dakar, Senegal
3NVRI, Vom, Nigeria
"}],"DisplayName":"Marion Bordier","TimeDisplay":null},{"ContactId":"6bba5694-614a-42bc-a1ee-89e127cd1369","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Simon","LastName":"Bourassi","Position":"Phd- Student","Organization":"Atlantic Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/08bb850f15aa4aaca09d7170025ee468","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Linear regression model to estimate the within herd prevalence of bovine leukemia virus from antibody titers detected by ELISA in bulk tank milk ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"791f6711-f679-4a3f-a672-0c7df75e4923","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"c897cc05-16b5-4d22-9b1b-b829f6ac02cf","Html":null,"PlainText":"Objectives
The primary objective of this study was to build and validate a linear regression model to predict within-herd prevalence of Bovine Leukemia Virus (BLV) using Bulk Tank Milk (BTM) antibody titers. A secondary objective was to determine the stability of the prediction model over a three-year period.

Materials and methods

True within-herd prevalences of 31 dairy herds in Atlantic Canada were determined in 2021 and 2022 by serological testing of all cows contributing to BTM during the trial period using a commercial indirect BLV antibody ELISA. Three bi-monthly (March to July) BTM samples were tested in triplicate to determine BTM antibodies at the herd level; because the triplicate results were highly correlated, their mean was used for analysis. Seven simple linear regression models for true herd-level prevalence (square-root scale) were built each year, with the predictor consisting of either single BTM round results or averages from multiple rounds. The best predictive model from BTM sampling was selected and cross-validated. Models were compared between years to evaluate the stability of the model’s slope and intercept over time.

Results:

In 2021, all mature cows (n=3907) were tested to determine the true within-herd prevalences. All possible combinations of the BTM testing rounds correlated well with the true within-herd prevalence (minimum R2 > 0.61). A model including the first two BTM rounds of testing (averaged) as the predictor had the best fit (R2=0.73) and best predictivity (predictive R2=0.70).

Conclusion
Development and validation of a stable model using two BTM samples could be key components of an economical tool to monitor the within-herd prevalence for BLV, which in turn could be applied to a surveillance and control program for BLV.

Keywords: Bovine Leukemia Virus, Herd-level prevalence, Bulk tank milk, sampling
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c897cc05-16b5-4d22-9b1b-b829f6ac02cf","Title":"Dr.","FirstName":"Simon","LastName":"Bourassi","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bourassi S"},{"PresentationId":"c897cc05-16b5-4d22-9b1b-b829f6ac02cf","Title":"Dr.","FirstName":"Greg ","LastName":"Keefe","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Keefe G"},{"PresentationId":"c897cc05-16b5-4d22-9b1b-b829f6ac02cf","Title":"Dr.","FirstName":"Henrik ","LastName":"Stryhn","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Stryhn H"},{"PresentationId":"c897cc05-16b5-4d22-9b1b-b829f6ac02cf","Title":"Dr.","FirstName":"Emily ","LastName":"John","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"John E"},{"PresentationId":"c897cc05-16b5-4d22-9b1b-b829f6ac02cf","Title":"Dr.","FirstName":"Shawn ","LastName":"Mckenna","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Mckenna S"},{"PresentationId":"c897cc05-16b5-4d22-9b1b-b829f6ac02cf","Title":"Dr.","FirstName":"J T ","LastName":"McClure","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"McClure J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c897cc05-16b5-4d22-9b1b-b829f6ac02cf","Number":1,"Affiliation":"Health Management, Atlantic Veterinary College","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Health Management, Atlantic Veterinary College, Charlottetown PE, Canada"}],"AuthorsHtml":"Bourassi S1, Keefe G1, Stryhn H1, John E1, Mckenna S1, McClure J1","AffiliationsHtml":"
1Health Management, Atlantic Veterinary College, Charlottetown PE, Canada
"},{"Title":"The impact of Removal or Segregation of Cattle with High Proviral Load on Reducing Incidence and Prevalence of Bovine leukosis (BL) in 30 Dairy Herds","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d030f6b4-dca0-4f19-8cb6-2901e0c8ab88","Html":null,"PlainText":"Objective
Proviral load (PVL) is the number of provirus per infected white blood cell. The level of PVL in BL infected animal differs with cows with higher PVL being more likely to infect BLV naïve cattle. The objective of this study is to evaluate the impact that culling and segregation of cows with high PVL has on reducing the prevalence and incidence of BLV in dairy herds in the Maritimes of Canada.
Materials and methods
In 2021, 30 herds from the three Maritime provinces were enrolled in this study. True-prevalence in each herd was calculated by individual BLV-ELISA test in milk or blood for lactating and dry cows, and bred heifers. For each BLV-positive cow their PVL level was determined using a qPCR assay. Incidence and prevalence is compared every year to determine the impact of culling and/or segregation of cows with high-PVL.
Results
The baseline within-herd prevalence of BLV ranged from 19% to 89% and the population at risk was identified and retested in the second year to determine the incidence risk. A total 473 out of 4025 cows were classified as high-PVL (PVL > 1 viral copy/ wbc). The percentage of high, moderate, low, and undetected-PVL were 36.7%, 11.7%, 29.1% and 22.5%, respectively. Herds with proportion of high-PVL less than 15% are culling most of the high-PVL cows and herds with proportion more than 15 % are culling some and segregating the others. Overall, half of high-PVL cows were culled, 16% were segregated from negative cows and only 34% were left within the herds.
Conclusion
About 1/3 of BLV positive cows had a high-PVL in the first year. Focusing culling or segregation decisions on this group will likely be more economically feasible in reducing the incidence and controlling BLV.
Keywords : Bovine-leukosis, proviral-load, prevalence , incidence
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d030f6b4-dca0-4f19-8cb6-2901e0c8ab88","Title":"Mr.","FirstName":"Simon","LastName":"Bourassi","Position":"Phd- Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bourassi S"},{"PresentationId":"d030f6b4-dca0-4f19-8cb6-2901e0c8ab88","Title":"Dr.","FirstName":"Gregory","LastName":"Keefe","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Keefe G"},{"PresentationId":"d030f6b4-dca0-4f19-8cb6-2901e0c8ab88","Title":"Emily John","FirstName":"Emily","LastName":"John","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"John E"},{"PresentationId":"d030f6b4-dca0-4f19-8cb6-2901e0c8ab88","Title":"Dr.","FirstName":"Shawn","LastName":"McKenna","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"McKenna S"},{"PresentationId":"d030f6b4-dca0-4f19-8cb6-2901e0c8ab88","Title":"Dr.","FirstName":"J. T.","LastName":"McClure","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"McClure J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d030f6b4-dca0-4f19-8cb6-2901e0c8ab88","Number":1,"Affiliation":"Atlantic Veterinary College","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Atlantic Veterinary College, Charlottetown PE, Canada"}],"AuthorsHtml":"Bourassi S1, Keefe G1, John E1, McKenna S1, McClure J1","AffiliationsHtml":"
1Atlantic Veterinary College, Charlottetown PE, Canada
"}],"DisplayName":"Simon Bourassi","TimeDisplay":null},{"ContactId":"d13fd3f9-b6ac-4a7d-a99d-6c05e023e34d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Natasha","LastName":"Bowser","Position":"PhD student","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The adaptation of Canadians to ticks and Lyme disease may lead to negative mental health and social outcomes.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Html":null,"PlainText":"Lyme disease (LD) is the most frequently reported tick-borne disease in Canada. New and expanding tick populations have been attributed to climate change and dispersal by migrating birds, while the risk of human-tick contact increases with urbanization and fragmentation of tick habitats. Tick-bite preventive behaviors remain the most effective way to prevent LD yet are not always adopted by at-risk individuals.

The objectives for this study were twofold: i) to understand the facilitators and barriers to adopting tick-bite preventive behaviors for at-risk individuals, and ii) to explore whether adverse or unhealthy behaviors are developing in response to the presence of ticks and LD.

Individuals living in LD endemic regions were recruited through various social media platforms (including governmental and health authority) to participate in virtual focus groups. In total, 96 individuals participated in 22 focus groups across five provinces of Canada (BC, MB, ON, QC and NS) from October 2021 to January 2022. Thematic analysis was performed on the transcribed discussions utilizing the COM-B model of behavior change.

Reported facilitators of preventive behaviors included awareness of LD symptoms, tick removal tools and social prompts. Reported barriers included wanting to feel free in nature and concern over the use of acaricides and antibiotics. Perceived access to healthcare was considered both a motivator and barrier. For many individuals, living in a LD endemic region was found to negatively impact mental health, change how they recreate outside and/or disrupt family and social dynamics.

Canadians are adapting to the presence of ticks and LD; however, these adaptations are not always applied consistently or positive. This study provides first evidence of the non-clinical impacts of ticks and LD on the behaviors of individuals living in endemic regions across Canada and offers potential targets for future preventive interventions against tick-bites.

Keywords: Lyme disease, behavioral adaptation, impacts
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Title":"Ms.","FirstName":"Natasha","LastName":"Bowser","Position":"PhD student","Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Bowser N"},{"PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Title":"Dr.","FirstName":"Valerie","LastName":"Hongoh","Position":"Epidemiologist","Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Hongoh V"},{"PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Title":null,"FirstName":"Madison","LastName":"Robertson","Position":"PhD Student (ABD)","Affiliations":"5","IsPresenting":false,"SortOrder":3,"DisplayName":"Robertson M"},{"PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Title":"Prof.","FirstName":"Rylan","LastName":"Egan","Position":"Assistant Professor","Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Egan R"},{"PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Title":"Prof.","FirstName":"Catherine","LastName":"Bouchard","Position":"Associate professor","Affiliations":"1,2,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Bouchard C"},{"PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Title":"Mx.","FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Professor","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":6,"DisplayName":"Aenishaenslin C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Number":1,"Affiliation":"Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe,","State":"Québec","Country":"Canada","AffiliationDisplay":"Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Number":2,"Affiliation":"Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP)","City":"Saint-Hyacinthe,","State":"Québec","Country":"Canada","AffiliationDisplay":"Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Saint-Hyacinthe, Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Number":3,"Affiliation":"Centre de recherche en santé publique (CReSP)","City":"Montréal,","State":"Québec","Country":"Canada","AffiliationDisplay":"Centre de recherche en santé publique (CReSP), Montréal, Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Number":4,"Affiliation":"Public Health Risk Sciences Division, Public Health Agency of Canada","City":"Saint-Hyacinthe,","State":"Québec","Country":"Canada","AffiliationDisplay":"Public Health Risk Sciences Division, Public Health Agency of Canada, Saint-Hyacinthe, Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9c92f3cb-bbac-43c0-ab50-6f8a97b5d687","Number":5,"Affiliation":"Queen's University","City":"Kingston,","State":"Ontario","Country":"Canada","AffiliationDisplay":"Queen's University, Kingston, Ontario, Canada"}],"AuthorsHtml":"Bowser N1,2,3, Hongoh V4, Robertson M5, Egan R5, Bouchard C1,2,4, Aenishaenslin C1,2,3","AffiliationsHtml":"
1Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada
2Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Saint-Hyacinthe, Québec, Canada
3Centre de recherche en santé publique (CReSP), Montréal, Québec, Canada
4Public Health Risk Sciences Division, Public Health Agency of Canada, Saint-Hyacinthe, Québec, Canada
5Queen's University, Kingston, Ontario, Canada
"},{"Title":"Self-reported tick exposure as an alternative measure of Lyme disease risk.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"5f5568b1-ed47-4f9f-ab4d-db8ff06078ec","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.E - Epidemiology of vector-borne diseases","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Html":null,"PlainText":"Lyme disease (LD) and other tick-borne diseases are emerging across Canada. Spatial and temporal LD risk is typically estimated using acarological surveillance and reported human cases data, the former not considering human behavior leading to tick exposure and the latter occurring after infection.

The primary objective of this study compared, at the census subdivision level (CSD), the association between reported LD cases and i. self-reported tick exposure, ii. alternative risk indicators (predicted tick density, eTick data, and public health risk level), and iii. ecological variables (Ixodes scapularis habitat suitability index and cumulative degree days). A secondary objective explored which risk indicators and ecological variables were associated with self-reported tick exposure at the CSD level.

Self-reported tick exposure was measured in a cross-sectional populational health survey conducted in 2018, among 10,790 respondents living in 116 CSDs of the Estrie region, Quebec. The numbers of reported LD cases per CSD in 2018 were obtained from the public health department. Generalised linear mixed models accounting for spatial auto-correlation were built to fulfil the objectives.

Self-reported tick exposure ranged from 0.0% to 61.5% (median 8.9%) and reported LD incidence ranged from 0 to 324 cases per 100,000 people, per CSD. Self-reported tick exposure was weakly but significantly associated with LD cases (ß=0.08, standard error = 0.02, p<0.0001). Public health risk level, predicted tick density, habitat suitability index and cumulative degree days demonstrated higher strengths of association. Only predicted tick density and habitat suitability index were significantly associated with self-reported tick exposure.

This is the first study exploring self-reported tick exposure as an indicator of LD at the local level using populational survey data. Using such data may offer a low-cost and simple tool for LD risk evaluation, provides supplementary information about human-tick contact, and merits further evaluation.

Keywords: Lyme disease, surveillance, tick encounters","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Title":"Ms.","FirstName":"Natasha","LastName":"Bowser","Position":"PhD student","Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Bowser N"},{"PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Title":"Prof.","FirstName":"Catherine","LastName":"Bouchard","Position":"Associate professor","Affiliations":"1,4","IsPresenting":false,"SortOrder":2,"DisplayName":"Bouchard C"},{"PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Title":null,"FirstName":"Miguel","LastName":"Sautié Castellanos","Position":"Data science professional","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Sautié Castellanos M"},{"PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Title":"Dr.","FirstName":"François","LastName":"Milord","Position":"Infectious disease consultant","Affiliations":"5,7","IsPresenting":false,"SortOrder":4,"DisplayName":"Milord F"},{"PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Title":"Dr.","FirstName":"Jade","LastName":"Savage","Position":"Professor","Affiliations":"6,8","IsPresenting":false,"SortOrder":5,"DisplayName":"Savage J"},{"PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Title":"Mx.","FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Professor","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":6,"DisplayName":"Aenishaenslin C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Number":1,"Affiliation":"Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe,","State":"Québec","Country":"Canada","AffiliationDisplay":"Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Number":2,"Affiliation":"Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP)","City":"Saint-Hyacinthe,","State":"Québec","Country":"Canada","AffiliationDisplay":"Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Saint-Hyacinthe, Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Number":3,"Affiliation":"Centre de recherche en santé publique (CReSP)","City":"Montréal,","State":"Québec","Country":"Canada","AffiliationDisplay":"Centre de recherche en santé publique (CReSP), Montréal, Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Number":4,"Affiliation":"Public Health Risk Sciences Division, Public Health Agency of Canada","City":"Saint-Hyacinthe,","State":"Québec","Country":"Canada","AffiliationDisplay":"Public Health Risk Sciences Division, Public Health Agency of Canada, Saint-Hyacinthe, Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Number":5,"Affiliation":"Faculté de médecine et des sciences de la santé, Université de Sherbrooke","City":"Sherbrooke","State":"Québec","Country":"Canada","AffiliationDisplay":"Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Number":6,"Affiliation":"eTick - Public platform for image-based identification and population monitoring in Canada","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"eTick - Public platform for image-based identification and population monitoring in Canada, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Number":7,"Affiliation":"Institut national de santé publique du Québec (INSPQ)","City":null,"State":"Québec","Country":"Canada","AffiliationDisplay":"Institut national de santé publique du Québec (INSPQ), Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c212aeb7-1892-4a98-bed6-6f0418a9bab0","Number":8,"Affiliation":"Department of Biology, Bishop's University","City":"Sherbrooke","State":"Québec","Country":"Canada","AffiliationDisplay":"Department of Biology, Bishop's University, Sherbrooke Québec, Canada"}],"AuthorsHtml":"Bowser N1,2,3, Bouchard C1,4, Sautié Castellanos M1, Milord F5,7, Savage J6,8, Aenishaenslin C1,2,3","AffiliationsHtml":"
1Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada
2Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Saint-Hyacinthe, Québec, Canada
3Centre de recherche en santé publique (CReSP), Montréal, Québec, Canada
4Public Health Risk Sciences Division, Public Health Agency of Canada, Saint-Hyacinthe, Québec, Canada
5Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke Québec, Canada
6eTick - Public platform for image-based identification and population monitoring in Canada, Canada
7Institut national de santé publique du Québec (INSPQ), Québec, Canada
8Department of Biology, Bishop's University, Sherbrooke Québec, Canada
"}],"DisplayName":"Natasha Bowser","TimeDisplay":null},{"ContactId":"9b691936-8b27-4257-a116-a17601cd7a78","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Richard","LastName":"Bradhurst","Position":"Senior Research Fellow","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1ab471f23e3f4f1ca6bd33588d97691c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"Drcodehammer","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"Drcodehammer","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=Drcodehammer","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=Drcodehammer","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":"Dr Richard Bradhurst is a Senior Research Fellow in the Centre of Excellence for Biosecurity Risk Analysis (CEBRA) at the University of Melbourne, Australia. He specialises in the fusion of multiple modelling approaches (mathematical, agent-based and cellular automata), to simulate the spread and control of emergency animal disease, plant and environmental pests, and human disease.

Richard is the co-creator and principal developer of the AADIS (Australian Animal Disease Spread) model, the EuFMDiS (European Transboundary Animal Disease) model, and the APPDIS (Australian Plant Pest and Disease) model. He collaborates with the Australian Department of Agriculture (Animal Health and Plant Health), Biosecurity Queensland, the Western Australia Department of Primary Industries and Regional Development, Agriculture Victoria, the New Zealand Ministry for Primary Industries, CSIRO, the EuFMD Commission within the Food and Agriculture Organisation of the United Nations, the Center for Epidemiology and Animal Health within the United States Department of Agriculture, the European Food Safety Authority, the Doherty Institute, The Murdoch Children's Research Institute, the Canadian Food Inspection Agency, and the state veterinary services of many European countries.

Previously, he spent over 20 years as a software engineer on large mission/life critical projects in Australia and North America. Projects included SCADA, a submarine combat system, civilian and military automated air traffic control systems, and tactical communication systems for the Canadian, British and United States military.

","Presentations":[{"Title":"Incorporating wild population pathways into a spread model of emergency animal disease","Bio":"Dr Richard Bradhurst is a Senior Research Fellow in the Centre of Excellence for Biosecurity Risk Analysis (CEBRA) at the University of Melbourne, Australia. He specialises in the fusion of multiple modelling approaches (mathematical, agent-based and cellular automata), to simulate the spread and control of emergency animal disease, plant and environmental pests, and human disease.\r\n\r\nRichard is the co-creator and principal developer of the AADIS (Australian Animal Disease Spread) model, the EuFMDiS (European Transboundary Animal Disease) model, and the APPDIS (Australian Plant Pest and Disease) model. He collaborates with the Australian Department of Agriculture (Animal Health and Plant Health), Biosecurity Queensland, the Western Australia Department of Primary Industries and Regional Development, Agriculture Victoria, the New Zealand Ministry for Primary Industries, CSIRO, the EuFMD Commission within the Food and Agriculture Organisation of the United Nations, the Center for Epidemiology and Animal Health within the United States Department of Agriculture, the European Food Safety Authority, the Doherty Institute, The Murdoch Children's Research Institute, the Canadian Food Inspection Agency, and the state veterinary services of many European countries.\r\n\r\nPreviously, he spent over 20 years as a software engineer on large mission/life critical projects in Australia and North America. Projects included SCADA, a submarine combat system, civilian and military automated air traffic control systems, and tactical communication systems for the Canadian, British and United States military.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"3c6a5399-9575-44e3-b9b2-a2a51e8561a1","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"9_Special Session Part 1: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"7ada322c-b746-4e67-8e86-afc8e0638252","Html":null,"PlainText":"Keywords: FMD, PPR, ASF, BT, AADIS, decision support tools

Objectives:
Decision support tools for emergency animal disease (EAD) generally feature fixed farm locations and network-based livestock movements. It is a challenge to incorporate spread pathways for wild species with uncertain distribution and abundance. Whilst contagious diseases such as foot-and-mouth disease and peste des petits ruminants may spread directly between domestic and wild animals, the spread of vector-borne diseases such as bluetongue and lumpy skin disease relies on the presence of competent vectors. A flexible technique is needed to represent a range of wild species and transmission mechanisms.

Materials and methods:
The Australian Animal Disease Spread Model (AADIS) is an agent-based epidemiological modelling framework used to support EAD planning and preparedness.

Results:
A grid-based wildlife component was developed whereby cells can house wild animals or insect vectors. The distribution and abundance of a species is defined by an external species distribution model or via a built-in habitat suitability model. The short-range diffusive spread of contagious disease within a wild population is informed by spatiotemporal influences on contact rates and transmission. Longer-range anthropogenic spread is modelled by stochastic jump processes. Contagious diseases can spill over between wild and domestic populations via a bi-directional kernel that considers regional and seasonal influences on the likelihood of transmission, and on-farm biosecurity. Short-range diffusion of vector-borne disease depends on host and vector densities and proximity, while longer-range spread can occur via livestock movements and windborne dispersal of vectors.

Conclusion:
AADIS can help assess:
-\tthe risk of EAD spillover,
-\tthe potential for wildlife disease reservoirs,
-\tthe role of infectious wildlife carcasses in transmission,
-\tcost-effective strategies for wildlife surveillance and control,
-\tthe consequences for animal health policy when the distribution of a key wild species changes due to environmental stresses or climate change.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7ada322c-b746-4e67-8e86-afc8e0638252","Title":"Dr.","FirstName":"Richard","LastName":"Bradhurst","Position":"Senior Research Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bradhurst R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7ada322c-b746-4e67-8e86-afc8e0638252","Number":1,"Affiliation":"University of Melbourne","City":"Melbourne","State":"VIC","Country":"Australia","AffiliationDisplay":"University of Melbourne, Melbourne VIC, Australia"}],"AuthorsHtml":"Bradhurst R1","AffiliationsHtml":"
1University of Melbourne, Melbourne VIC, Australia
"},{"Title":"Modelling the spread and control of African swine fever in domestic and feral pig populations in Australia","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Html":null,"PlainText":"Title: Modelling the spread and control of African swine fever in domestic and feral pig populations in Australia

Keywords: ASF, AADIS, veterinary epidemiology, decision support tools

Objectives
The challenge of planning for emergency animal disease outbreaks can be compounded by the complex epidemiological interplay between livestock, wild animals, and the environment. If ASF were to enter the feral pig population in Australia it is unclear whether it would establish and pose an ongoing threat to domestic pigs. Epidemiological models can assist in the formation of animal health policy for emergency animal disease, especially where field studies are not possible or practical.

Materials and methods
The Australian Animal Disease Spread model (AADIS) is used by animal health authorities in Australia to support disease planning and preparedness. A new AADIS-ASF model was developed to represent the domestic and feral pig populations in Australia and simulate the potential spread and control of ASF in and between them.

Results
The degree of spillover transmission between domestic and feral pigs was dependent on production system characteristics, on-farm biosecurity, feral pig density, contact rates between feral pig groups and between domestic and feral pigs, and regional and seasonal influences on feral pig carcass decay.

Conclusion
AADIS-ASF is a new decision support tool to assist disease managers explore the potential spread and control of ASF in domestic pigs and the risk of transmission between domestic and feral pigs.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2ae6342681be459191d54ca81b5a1058","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Stevenson M"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":null,"FirstName":"Catherine","LastName":"Tharle","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Tharle C"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":null,"FirstName":"Madalene","LastName":"Oberin","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Oberin M"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Firestone S"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":"Dr.","FirstName":"Brendan","LastName":"Cowled","Position":"Executive Consultant","Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Cowled B"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":null,"FirstName":"Nina","LastName":"Kung","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Kung N"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":null,"FirstName":"Rachel","LastName":"Iglesias","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Iglesias R"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":null,"FirstName":"Sara","LastName":"Willis","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Willis S"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":null,"FirstName":"Kristy","LastName":"Richards","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Richards K"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":"Dr.","FirstName":"Graeme","LastName":"Garner","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Garner G"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":null,"FirstName":"Sharon","LastName":"Roche","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"Roche S"},{"PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Title":"Dr.","FirstName":"Richard","LastName":"Bradhurst","Position":"Senior Research Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Bradhurst R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6ce20018-29ce-4b41-b5b7-c5cb56b56012","Number":1,"Affiliation":"Centre of Excellence for Biosecurity Risk Analysis, University Of Melbourne","City":"Melbourne","State":"VIC","Country":"Australia","AffiliationDisplay":"Centre of Excellence for Biosecurity Risk Analysis, University Of Melbourne, Melbourne VIC, Australia"}],"AuthorsHtml":"Stevenson M, Tharle C, Oberin M, Firestone S, Cowled B, Kung N, Iglesias R, Willis S, Richards K, Garner G, Roche S, Bradhurst R1","AffiliationsHtml":"
1Centre of Excellence for Biosecurity Risk Analysis, University Of Melbourne, Melbourne VIC, Australia
"}],"DisplayName":"Richard Bradhurst","TimeDisplay":null},{"ContactId":"91eefe33-250f-499b-a9ab-42d1087a334a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marnie","LastName":"Brennan","Position":"Associate Professor In Epidemiology","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Marnie Brennan is an Associate Professor in Epidemiology and a European and RCVS Recognised Specialist in Epidemiology. She directs the Centre for Evidence-based Veterinary Medicine, a research and knowledge exchange centre aiming to conduct research focused on the needs of the veterinary professions whilst providing training and evidence-based resources for undergraduates and post-registration professionals to utilise in clinical practice.
Marnie’s areas of interest include study design, both from a creation (research) and assessment (appraisal) perspective, and approaches for stakeholder engagement. She also has a special interest in preventive medicine, particularly biosecurity, within a range of animal settings.

","Presentations":[{"Title":"Application of epidemiology into a clinical realm: Teaching absolutes or substitutes?","Bio":"Marnie Brennan is an Associate Professor in Epidemiology and a European and RCVS Recognised Specialist in Epidemiology. She directs the Centre for Evidence-based Veterinary Medicine, a research and knowledge exchange centre aiming to conduct research focused on the needs of the veterinary professions whilst providing training and evidence-based resources for undergraduates and post-registration professionals to utilise in clinical practice.\r\nMarnie’s areas of interest include study design, both from a creation (research) and assessment (appraisal) perspective, and approaches for stakeholder engagement. She also has a special interest in preventive medicine, particularly biosecurity, within a range of animal settings. \r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"7773fd23-faf6-43a7-8675-56fdf517823b","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"4c9a2be7-c6b2-420c-beca-ebf46d7804f0","Html":null,"PlainText":"The importance of epidemiology to the veterinary profession has previously been recognised, with knowledge about concepts relating to outbreak investigation processes, assessment of diagnostic test performance and preventive medicine initiatives being an important part of veterinary practice. Evidence-based veterinary medicine (EBVM) provides an opportunity for reinvigoration of the way epidemiological principles could be taught to students. However, the intense and fast-paced nature of clinical veterinary practice does little to facilitate veterinary professionals being able to apply the principles of EBVM into practice. This includes being able to search for the latest research, critically interpret research findings including how and what outcomes are measured, and making decisions about whether the results (e.g. measures of association, confidence intervals etc.) could be applied to the specific case scenarios seen within their particular practice environment.

There is a need for using a creative approach when teaching the fundamentals of EBVM and its associated epidemiological principles to veterinary undergraduates. Bringing these important concepts to the next generations of veterinary professionals will equip them with skills for lifelong learning and resilience needed in today’s rapidly evolving profession. This presentation will introduce these concepts and will briefly describe our pragmatic approach to teaching them.

Keywords: evidence-based veterinary medicine; EBVM; teaching epidemiology
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4c9a2be7-c6b2-420c-beca-ebf46d7804f0","Title":"Dr.","FirstName":"Marnie","LastName":"Brennan","Position":"Associate Professor In Epidemiology","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Brennan M"},{"PresentationId":"4c9a2be7-c6b2-420c-beca-ebf46d7804f0","Title":"Ms","FirstName":"Lisa","LastName":"Morrow","Position":"Teaching Associate in Veterinary Sciences","Affiliations":null,"IsPresenting":true,"SortOrder":2,"DisplayName":"Morrow L"}],"Affiliations":[],"AuthorsHtml":"Brennan M, Morrow L","AffiliationsHtml":""},{"Title":"The value of joint vet-farmer biosecurity discussions: Novel use of social interaction analyses","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"691eb95b-8e83-4402-9e57-b3af198eba14","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Html":null,"PlainText":"Objectives:
Veterinarians (vets) are trusted by farmers and play a role in helping farmers to implement biosecurity. More research is needed to further understand the role of communication in altering biosecurity behaviours, particularly the impact of joint farmer-vet discussions. The aim of this study was to analyse joint dairy farmer-vet discussions about adoption of on-farm biosecurity by using novel social interaction methodologies.

Materials and methods:
Vet and farmer participants were invited to take part in a face-to-face meeting. Introductory presentations were given, followed by separate facilitated vet and farmer discussions, before convening a whole group discussion. Recordings and corresponding transcripts were analysed via thematic, conversation and discourse analysis. Conversation analysis assessments such as turn taking, repair and asymmetry were employed to investigate the nature of the conversation.

Results:
Thematic analysis identified the negative repercussions of ineffective communication or conflicting information surrounding biosecurity implementation, and the importance of, and type of relationship farmers had with vets and other stakeholders. The need to provide personalised biosecurity protocols on farms was identified.
Four key factors were identified via conversation and discourse analysis; namely, how the conversation facilitated agreement, and allowed participants to learn from one another in real time, how discussion enabled participants to expand and develop upon their points, and how participants were able to gain an overall improved understanding of the other participants’ opinions, even without total resolution.

Conclusion:
Discussions around the effective implementation of biosecurity measures, explored with a combination of novel techniques, demonstrated the potential for solutions to arise from utilising a discussive approach between vets and farmers. Because of the nature of the dialogue, conversation analysis resulted in an informative approach to capturing the nuanced interchange between stakeholders, highlighting the potential of this analysis framework.

Keywords:
Biosecurity, cattle, thematic analysis, conversation analysis, joint discussion","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Title":"Ms","FirstName":"Olivia","LastName":"Chomyn","Position":"Undergraduate student","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Chomyn O"},{"PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Title":"Dr","FirstName":"Wendela","LastName":"Wapenaar","Position":"Exploratory Development Global Farm Animal Project Lead","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Wapenaar W"},{"PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Title":"Dr ","FirstName":"Imogen","LastName":"Richens","Position":"Teaching Associate","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Richens I"},{"PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Title":"Ms","FirstName":"Rosemary","LastName":"Reyneke","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Reyneke R"},{"PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Title":"Dr","FirstName":"Orla","LastName":"Shortall","Position":"Agricultural Sociologist","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Shortall O"},{"PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Title":"Professor","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology and Precision Livestock Informatics","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Kaler J"},{"PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Title":"Dr.","FirstName":"Marnie","LastName":"Brennan","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":7,"DisplayName":"Brennan M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Number":1,"Affiliation":"University of Nottingham","City":"Loughborough","State":"Leicestershire","Country":"United Kingdom","AffiliationDisplay":"University of Nottingham, Loughborough Leicestershire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Number":2,"Affiliation":"Elanco Animal Health","City":"Monheim am Rhein","State":null,"Country":"Germany","AffiliationDisplay":"Elanco Animal Health, Monheim am Rhein, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b1ed3c49-89ed-4ecd-979f-6bf55750dfbc","Number":3,"Affiliation":"James Hutton Institute","City":"Aberdeen","State":"Aberdeenshire","Country":"Scotland","AffiliationDisplay":"James Hutton Institute, Aberdeen Aberdeenshire, Scotland"}],"AuthorsHtml":"Chomyn O1, Wapenaar W2, Richens I1, Reyneke R1, Shortall O3, Kaler J1, Brennan M1","AffiliationsHtml":"
1University of Nottingham, Loughborough Leicestershire, United Kingdom
2Elanco Animal Health, Monheim am Rhein, Germany
3James Hutton Institute, Aberdeen Aberdeenshire, Scotland
"},{"Title":"Longitudinal extraction of important outcomes from electronic patient records of cats with chronic kidney disease","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Html":null,"PlainText":"Objective:
Chronic kidney disease (CKD) is a common condition of geriatric cats. A prioritised core set of outcomes for feline CKD treatment trials was recently established by stakeholders. In the current study, clinical histories from electronic patient records (EPRs) were examined to extract core outcomes to ascertain the usefulness of EPRs as a future clinical trials data source.

Materials and methods:
Six months of EPRs for all patients at 282 UK practices, including free text clinical notes and predefined fields (e.g. breed) were exported and de-identified. Feline CKD cases were identified through key and partial terms in clinical notes. Cohort demographics and survival time were extracted. A sample of cases were identified to assess bodyweight and blood pressure measurements over time.

Results:
The dataset contained EPRs from 139,831 cats, of which 3,923 (2.8%) were identified with CKD. The median age at death for these patients was 15 (IQR 12-17). Cats with ongoing CKD were weighed infrequently; from an average 6.6 consultations, cats were weighed an average 2.3 times across the study period. Blood pressure measurements were taken from 306 cats; nine of these had measurements recorded on four or more dates. Multiple bodyweights from a small sample of cats with CKD were compared to their own average bodyweight longitudinally. Most cats who died decreased in bodyweight before death by 26-62% of their average weight. Overall variation in each cat’s bodyweight compared to their average identified a greater variation in cats who died (65-130%), than in cats who outlived the study period (85-115%).

Conclusion:
Feline CKD patients can be identified within EPRs and important outcomes tracked longitudinally; these methods could inform prospective data extraction for trials. Future work could evaluate the potential of graduated bodyweight loss as a prognostic indicator for CKD.

Keywords:
Cats, Chronic Kidney Disease, CKD, Clinical Notes, Trials","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Title":"Ms","FirstName":"Hannah","LastName":"Doit","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Doit H"},{"PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Title":"Dr","FirstName":"Marco","LastName":"Duz","Position":"Clinical Assistant Professor in Equine Internal Medicine","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Duz M"},{"PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Title":"Dr","FirstName":"Rachel","LastName":"Dean","Position":"Director of Clinical Research and Excellence in Practice","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Dean R"},{"PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Title":"Dr","FirstName":"David","LastName":"May","Position":"No position","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"May D"},{"PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Title":"Dr","FirstName":"Philip","LastName":"Quinlan","Position":"Head of Digital Research Service","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Quinlan P"},{"PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Title":"Dr.","FirstName":"Marnie","LastName":"Brennan","Position":"Associate Professor In Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Brennan M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Number":1,"Affiliation":"University of Nottingham","City":"Loughborough","State":"Leicestershire","Country":"United Kingdom","AffiliationDisplay":"University of Nottingham, Loughborough Leicestershire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Number":2,"Affiliation":"VetPartners","City":"York","State":"North Yorkshire","Country":"United Kingdom","AffiliationDisplay":"VetPartners, York North Yorkshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6b13847f-2c0f-4ad4-91d8-bfdef53c42fb","Number":3,"Affiliation":"No affiliation","City":"Loughborough","State":"Leicestershire","Country":"United Kingdom","AffiliationDisplay":"No affiliation, Loughborough Leicestershire, United Kingdom"}],"AuthorsHtml":"Doit H1, Duz M1, Dean R2, May D3, Quinlan P1, Brennan M1","AffiliationsHtml":"
1University of Nottingham, Loughborough Leicestershire, United Kingdom
2VetPartners, York North Yorkshire, United Kingdom
3No affiliation, Loughborough Leicestershire, United Kingdom
"}],"DisplayName":"Marnie Brennan","TimeDisplay":null},{"ContactId":"ce35032c-acc8-433b-8eb8-ceb2c2917fc6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Victoria","LastName":"Brookes","Position":"Lecturer Evidence-based Practice","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Panel discussion: Peeking inside the Black Box","Bio":null,"PresentationTypeName":"Special Session - Panel","Session":{"Id":"a2e9d146-090f-4806-9173-28a92bbc0dfd","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"11_Special Session: Animal Disease Spread Modelling","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[],"Authors":[{"PresentationId":"649c643a-5f6f-4b9a-9756-f5c0c3699433","Title":"Ms.","FirstName":"Victoria","LastName":"Brookes","Position":"Lecturer Evidence-based Practice","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Brookes V"}],"Affiliations":[],"AuthorsHtml":"Brookes V","AffiliationsHtml":""}],"DisplayName":"Victoria Brookes","TimeDisplay":null},{"ContactId":"1c1fb417-9fc8-4386-a13a-3dc35f23e513","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Leslie","LastName":"Brooks","Position":"","Organization":"AAAS Science & Technology Policy Fellowship","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ed10673c6f8f47d4875c793642c97dd0","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Enhancing the Evidence for Utilizing a One Health Approach in Humanitarian Responses","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7d26eb7-65b0-4ca0-968f-d5d73c8f2d1e","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.E - Global Health Security","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"b0529304-487f-4a63-a06e-eddfa3cba7c4","Html":null,"PlainText":"One Health approaches integrate support for environmental, animal, and human health. The objective of this research is to identify gaps and weaknesses in humanitarian One Health understanding and opportunities to integrate One Health practices into humanitarian interventions to optimize health outcomes across the three sectors.

This research explores the level of One Health understanding and practice amongst humanitarian actors using a multi-methods approach, including a meta-analysis of peer-reviewed and grey literature, review of past five years of the US Agency for International Development’s (USAID) Bureau for Humanitarian Assistance awards, survey of humanitarian organizations, Key Informant Interviews and Focus Group Discussions with humanitarian organizations and the One Health research and development community, and three to four humanitarian One Health project case studies with USAID implementing partners.

To date, the literature search has revealed just a few examples of One Health related interventions used in humanitarian assistance. In one publication the authors investigated outbreaks of zoonoses in the aftermath of earthquakes in areas reliant on livestock production, highlighting the value of addressing animal health needs during a disaster to decrease public health impacts. A Humane Society After Action Report from their response to the 2015 Nepal earthquake demonstrates organizations responding to the needs of animals but not coordinating holistically with the public health sector. There is evidence from USAID’s awards of the integration of relevant sectors. For example, in response to drought one partner improved household nutrition by distributing livestock feed to boost milk production, while another trained Community Animal Health Workers to teach herders in remote cattle camps water sanitation and hygiene methods to mitigate a cholera outbreak.

This research is on-going. The end result will be used to build One Health tools for the humanitarian community, including a One Health framework for planning and implementing humanitarian responses.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b0529304-487f-4a63-a06e-eddfa3cba7c4","Title":"Dr.","FirstName":"Leslie","LastName":"Brooks","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Brooks L"},{"PresentationId":"b0529304-487f-4a63-a06e-eddfa3cba7c4","Title":"Dr.","FirstName":"Joseph","LastName":"Tritschler","Position":"Livestock Advisor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Tritschler J"},{"PresentationId":"b0529304-487f-4a63-a06e-eddfa3cba7c4","Title":"Dr.","FirstName":"Shaina","LastName":"Craige","Position":"Science and Technology Policy Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Craige S"},{"PresentationId":"b0529304-487f-4a63-a06e-eddfa3cba7c4","Title":"Dr.","FirstName":"Christine","LastName":"Jost","Position":"Livestock Advisor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Jost C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0529304-487f-4a63-a06e-eddfa3cba7c4","Number":1,"Affiliation":"AAAS Science & Technology Policy Fellowship","City":"Washington","State":"District of Columbia","Country":"USA","AffiliationDisplay":"AAAS Science & Technology Policy Fellowship, Washington District of Columbia, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0529304-487f-4a63-a06e-eddfa3cba7c4","Number":2,"Affiliation":"USAID","City":"Washington","State":"District of Columbia","Country":"USA","AffiliationDisplay":"USAID, Washington District of Columbia, USA"}],"AuthorsHtml":"Brooks L1, Tritschler J2, Craige S1, Jost C2","AffiliationsHtml":"
1AAAS Science & Technology Policy Fellowship, Washington District of Columbia, USA
2USAID, Washington District of Columbia, USA
"}],"DisplayName":"Leslie Brooks","TimeDisplay":null},{"ContactId":"197e9a87-cc4e-4d48-b661-3ff8d0238b82","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Value chain analysis of yellow broiler industry in Guangxi, China to inform H7N9 influenza control strategies","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4847fc75-4143-4348-a01d-660157a7a632","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.D - One Health","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"964a79ed-e691-4111-aa87-72c4477aed37","Html":null,"PlainText":"Yellow broilers are the primary source of poultry consumption in China and the predominant trade of live poultry. However, knowledge of the value chain is limited, which is vital evidence for the effective control of H7N9 and other zoonotic avian influenzas. The aim of the study was to map the yellow broiler value chain in Guangxi, China and investigate its governance structure and practices relevant to the risk of H7N9 transmission.

A value chain analysis was conducted in five areas of Guangxi from May to August 2018. Three focus group discussions (FGDs), 55 key informant interviews (KIIs) and on-site observations were conducted to collect qualitative data on stakeholders’ profile, practices and interactions with other stakeholders and rules/norms that exist along the value chain. The data were analysed to create stakeholder profiles and a diagram of product flows and stakeholders’ interactions. Thematic analysis was used to identify the governance structure of the value chains and practices relevant to the risk of H7N9 transmission.

The stakeholders and premises involved in Guangxi yellow broiler industry were described. Contract farming is extensively adopted in Guangxi; consequently yellow broiler grower companies are the dominant stakeholders. The trading platform was identified as a key premise linking farms and live bird markets. The thematic analysis highlighted poor biosecurity practices in different premises along the value chain, which was supported by on-site observations. The operation of trading platforms reported in this study presents a disease risk but is not considered in the current H7N9 control programs.

The study suggested that biosecurity management gaps need to be addressed through government-industry partnerships that require engagement with private stakeholders in the planning and implementation of H7N9 control strategies incentivising participation of grower companies, wholesalers and retailers.

Keywords: H7N9 Influenza; Live bird markets; Value chain, Control strategy, China","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"964a79ed-e691-4111-aa87-72c4477aed37","Title":"Dr.","FirstName":"Hao","LastName":"Tang","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Tang H"},{"PresentationId":"964a79ed-e691-4111-aa87-72c4477aed37","Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Bruce M"},{"PresentationId":"964a79ed-e691-4111-aa87-72c4477aed37","Title":"Dr","FirstName":"Baoxu","LastName":"Huang","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Huang B"},{"PresentationId":"964a79ed-e691-4111-aa87-72c4477aed37","Title":"Dr","FirstName":"Chang","LastName":"Cai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Cai C"},{"PresentationId":"964a79ed-e691-4111-aa87-72c4477aed37","Title":"Prof.","FirstName":"John","LastName":"Edwards","Position":"Emeritus Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":5,"DisplayName":"Edwards J"},{"PresentationId":"964a79ed-e691-4111-aa87-72c4477aed37","Title":"Prof.","FirstName":"Ian","LastName":"Robertson","Position":"Emeritus Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Robertson I"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"964a79ed-e691-4111-aa87-72c4477aed37","Number":1,"Affiliation":"Murdoch University","City":"Perth","State":"WA","Country":"Australia","AffiliationDisplay":"Murdoch University, Perth WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"964a79ed-e691-4111-aa87-72c4477aed37","Number":2,"Affiliation":"China Animal Health and Epidemiology Centre","City":"Qingdao","State":"Shandong","Country":"China","AffiliationDisplay":"China Animal Health and Epidemiology Centre, Qingdao Shandong, China"}],"AuthorsHtml":"Tang H1,2, Bruce M1, Huang B1,2, Cai C1, Edwards J1,2, Robertson I1","AffiliationsHtml":"
1Murdoch University, Perth WA, Australia
2China Animal Health and Epidemiology Centre, Qingdao Shandong, China
"},{"Title":"Benefit-cost analysis of a H7N9 vaccination program in poultry in Guangxi, China ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Html":null,"PlainText":"China launched a H7N9 vaccination program in poultry from July 2017, as a response to a steep increase of H7N9 influenza human infections. Since then, H5-H7 bivalent vaccine has been used in the nationwide avian influenza compulsory vaccination program to replace the existing H5N1 vaccine. However, the economic returns of the H7N9 vaccination program in China have never been adequately assessed. This study was designed to evaluate the economic value of the H7N9 vaccination program in Guangxi by assessing the benefits and costs of the program compared to not vaccinating against H7N9.

A benefit-cost analysis (BCA) was undertaken to evaluation the adoption of a vaccination program against H7N9 in each of three consecutive years from July 2017 to June 2020 with the baseline scenario (the absence of H7N9 vaccination in the 12-month period July 2016 to June 2017). Both animal and public health perspectives were included in the BCA framework, and took account of both the private and public sectors.

Benefit-Cost Ratio (BCR) of the three-year H7N9 vaccination program was 18.6 (90%PI: 15.4; 21.8), and total Net Present Values reached to CNY 1.63 billion (90%PI: 1.37 billion; 1.89 billion). The extra revenue generated by the yellow broiler industry comprised 93.8% of the total benefits after adoption of H7N9 vaccination program in Guangxi. While, cost-savings in public health and animal health expenditure avoided were 3.6% and 2.6%, respectively. Sensitivity analysis found the yellow broiler wholesale prices contributed 97.7% of the variance of the total NPV of three vaccination years.

The study results demonstrate the significant economic advantage of implementing a vaccination program against H7N9 in Guangxi. It also offers a new set of evidence to China’s H7N9 vaccination policy and debates around economic values of conducting routine avian influenza vaccination.

Keywords: H7N9, avian influenza, vaccination policy, benefit-cost analysis, China

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Title":"Dr.","FirstName":"Hao","LastName":"Tang","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Tang H"},{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Title":"Dr.","FirstName":"Jingli","LastName":"Kang","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kang J"},{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Title":"Dr.","FirstName":"Chaojian","LastName":"Shen","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Shen C"},{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Title":"Dr.","FirstName":"Youming","LastName":"Wang","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Wang Y"},{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Title":"Prof.","FirstName":"Ian","LastName":"Robertson","Position":"Emeritus Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Robertson I"},{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Title":"Dr","FirstName":"Chang","LastName":"Cai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Cai C"},{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Title":"Prof.","FirstName":"John","LastName":"Edwards","Position":"Emeritus Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":7,"DisplayName":"Edwards J"},{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Title":"Dr","FirstName":"Baoxu","LastName":"Huang","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":8,"DisplayName":"Huang B"},{"PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Bruce M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Number":1,"Affiliation":"Murdoch University","City":"Perth","State":"WA","Country":"Australia","AffiliationDisplay":"Murdoch University, Perth WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eee08a78-2fbd-427f-8b9e-5eec4b62e645","Number":2,"Affiliation":"China Animal Health and Epidemiology Centre","City":"Qingdao","State":"Shandong","Country":"China","AffiliationDisplay":"China Animal Health and Epidemiology Centre, Qingdao Shandong, China"}],"AuthorsHtml":"Tang H1,2, Kang J2, Shen C2, Wang Y2, Robertson I1, Cai C1, Edwards J1,2, Huang B1,2, Bruce M1","AffiliationsHtml":"
1Murdoch University, Perth WA, Australia
2China Animal Health and Epidemiology Centre, Qingdao Shandong, China
"},{"Title":"The Animal Health Ontology: a data-driven approach for calculating cause-specific burden of animal disease","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Html":null,"PlainText":"Digital technologies in agricultural infrastructure and research produces large quantities of data that will facilitate understanding of animal production systems and measuring the burden of disease. Due to the heterogeneity within these sources, a machine-readable data model with a well-defined vocabulary of terms, connected with logical relationships – an ontology – is required. The design of the Animal Health Ontology (AHO) as a is informed by its application for the Global Burden of Animal Diseases program. It includes components for measuring the burden of disease; (i) animal demography (species, breed, sex, age); (ii) production system categories; (iii) the inputs and outputs of the production systems; and (iv) disease characteristics (Figure 1). Each term within the AHO has a definition, synonyms, context for use, and links to other animal health data catalogues. The AHO is central for data integration, enabling the annotation of data sources, such as census data, published studies and laboratory reports.

The ontology-based data integration approach is used in the methodological framework for the cause-specific attribution of the animal health loss envelope. The starting point is a cause list, broadly categorised into infectious, non-infectious, and external factors. For each cause, characteristics including measures of disease frequency, severity, duration, and outcome - expressed as a loss in production for example milk, meat, or fertility, or mortality - are defined. The accurate identification and specification of disease characteristics within the AHO provides a data-driven approach to assist in the annotation of heterogenous animal health data required to measure the burden of disease. These annotated datasets are then machine-readable, discoverable in the semantic web, interoperable and reusable. The cause list, associated characteristics and outcomes will be updated and expanded as new data becomes available, whilst adjusting for multimorbidity will improve these estimates.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/617ce92ac35f40748780307153d6fb2f","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Title":"Dr.","FirstName":"Stephen","LastName":"Kwok","Position":"","Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Kwok S"},{"PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Title":"Dr.","FirstName":"Andrew","LastName":"Larkins","Position":"Phd Candidate | Research Assistant","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Larkins A"},{"PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Title":"Dr.","FirstName":"Yin","LastName":"Li","Position":"","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Li Y"},{"PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"1,4","IsPresenting":false,"SortOrder":4,"DisplayName":"Knight-Jones T"},{"PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Title":"Dr.","FirstName":"Wudu","LastName":"Jemberu","Position":"Prof.","Affiliations":"1,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Jemberu W"},{"PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Title":"Dr.","FirstName":"Gemma","LastName":"Chaters","Position":"Analyst","Affiliations":"1,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Chaters G"},{"PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Affiliations":"1,2","IsPresenting":true,"SortOrder":7,"DisplayName":"Bruce M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Number":1,"Affiliation":"Global Burden of Animal Diseases programme","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases programme"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Number":2,"Affiliation":"2School of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University","City":"Murdoch","State":"WA","Country":"Australia","AffiliationDisplay":"2School of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University, Murdoch WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Number":3,"Affiliation":"3CSIRO Agriculture and Food","City":"St. Lucia","State":null,"Country":"Australia","AffiliationDisplay":"3CSIRO Agriculture and Food, St. Lucia, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Number":4,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1707e9f8-af6b-443a-978c-fc3d6e490aea","Number":5,"Affiliation":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom"}],"AuthorsHtml":"Kwok S1,2, Larkins A1,2, Li Y3, Knight-Jones T1,4, Jemberu W1,4, Chaters G1,5, Bruce M1,2","AffiliationsHtml":"
1Global Burden of Animal Diseases programme
22School of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University, Murdoch WA, Australia
33CSIRO Agriculture and Food, St. Lucia, Australia
4International Livestock Research Institute, Addis Ababa, Ethiopia
5Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
"},{"Title":"A mixed-methods study of stakeholders’ practices and attitudes on avian influenza H7N9 vaccination for the yellow broiler industry in Guangxi, China","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e3213569-2523-4638-b5a5-16833d002404","Html":null,"PlainText":"China introduced a H5/H7 bivalent inactivated vaccine for poultry and integrated into the existing compulsory national H5N1 vaccination program from September 2017. Although the vaccination program effectively reduced H7N9 infections in humans and poultry, there are ongoing arguments against continuing this long-term vaccination. However, the understanding of poultry industry stakeholders’ practices on and attitudes towards this vaccination is lacking. This study investigated H7N9 vaccination practices in the yellow broiler industry in Guangxi and stakeholders’ attitudes on H7N9 vaccination.

A convergent parallel mixed methods design was adopted in the study, using quantitative and qualitative methods given equal weight to answer the same research question. Online questionnaires and semi-structured interviews were conducted in two counties of Guangxi to collect quantitative and qualitative data, respectively. After independent analyses of the quantitative and qualitative data,
the results were compared and integrated into an overall interpretation of the issues of interest.

The study found H7N9 vaccination was well adopted in the yellow broiler industry in Guangxi regardless of the source of the vaccines. Most stakeholders believed vaccination was the best measure to control H7N9 and H5N1 AIVs, and they showed a strong willingness to continue with vaccination even without government subsidies or freely provided vaccines. The motivations by stakeholders for using vaccines to control H7N9 and H5N1 were different due to the epidemiological differences between the two strains.

To our knowledge, this is the first study to investigate H7N9 vaccination practices and to examine local stakeholders’ risk perceptions on H7N9 and their attitudes towards its vaccination in Guangxi, China. The findings provide unique evidence about the mandatory routine vaccination programmes for H7N9 and H5N1 in poultry in China. It has important practical implications in planning vaccination policies, particularly when considering the possibility of vaccination withdrawal.

Keywords: H7N9, avian influenza, vaccination policy, stakeholder attitudes, mix-methods

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e3213569-2523-4638-b5a5-16833d002404","Title":"Dr.","FirstName":"Hao","LastName":"Tang","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Tang H"},{"PresentationId":"e3213569-2523-4638-b5a5-16833d002404","Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Bruce M"},{"PresentationId":"e3213569-2523-4638-b5a5-16833d002404","Title":"Dr","FirstName":"Baoxu","LastName":"Huang","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Huang B"},{"PresentationId":"e3213569-2523-4638-b5a5-16833d002404","Title":"Dr","FirstName":"Chang","LastName":"Cai","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Cai C"},{"PresentationId":"e3213569-2523-4638-b5a5-16833d002404","Title":"Prof.","FirstName":"John","LastName":"Edwards","Position":"Emeritus Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":5,"DisplayName":"Edwards J"},{"PresentationId":"e3213569-2523-4638-b5a5-16833d002404","Title":"Prof.","FirstName":"Ian","LastName":"Robertson","Position":"Emeritus Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Robertson I"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e3213569-2523-4638-b5a5-16833d002404","Number":1,"Affiliation":"Murdoch University","City":"Perth","State":"WA","Country":"Australia","AffiliationDisplay":"Murdoch University, Perth WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e3213569-2523-4638-b5a5-16833d002404","Number":2,"Affiliation":"China Animal Health and Epidemiology Centre","City":"Qingdao","State":"Shandong","Country":"China","AffiliationDisplay":"China Animal Health and Epidemiology Centre, Qingdao Shandong, China"}],"AuthorsHtml":"Tang H1,2, Bruce M1, Huang B1,2, Cai C2, Edwards J1,2, Robertson I1","AffiliationsHtml":"
1Murdoch University, Perth WA, Australia
2China Animal Health and Epidemiology Centre, Qingdao Shandong, China
"},{"Title":"Analysis of the movement of live broilers in Guangxi, China and implications for avian influenza control ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Html":null,"PlainText":"Most Chinese provinces have a daily-updated database of live animal movements; however, the data are not efficiently utilised to support interventions to control H7N9 and other avian influenzas. This study assessed the spatio-temporal patterns of live broilers moved out of and within Guangxi in 2017 using official daily records.

Guangxi’s de-identified official broiler movements data of the year 2017 were used. The yearly and monthly networks were analysed for inter- and intra-provincial movements, respectively, using social network analysis method.

Approximately 200,000 movements occurred in 2017, involving the transport of 200 million live broilers from Guangxi. Although Guangxi exported to 24 out of 32 provinces of China, 95% of inter-provincial movements occurred with three bordering provinces. Within Guangxi, counties were highly connected through the live broiler movements, creating conditions for rapid virus spreading throughout the province. Interestingly, a peak in movements during the Chinese Lunar New Year celebrations, late January in 2017, was not observed in this study. Both intra- and inter-provincial movements in March 2017 were significantly higher than in other months of that year, suggesting that dramatic price changes may influence the movement’s network and reshape the risk pathways. However, despite these variations, the less than 20% of counties in the network exporting/importing more than 90% of inter- and intra- provincial movements remain the same throughout the year. Interventions, particularly surveillance and improving biosecurity, targeted to those counties are thus likely to be more effective for avian influenza risk mitigation than implemented indiscriminately.

The analysis of official movement data generates unique evidence on movement patterns and support the design of risk-based control interventions for H7N9 and all other avian influenza viruses in broiler value chains in Guangxi.

Keywords: H7N9, avian influenza, poultry movements, social network analysis, China
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Dr.","FirstName":"Hao","LastName":"Tang","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Tang H"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Fournie G"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Dr.","FirstName":"Jinming","LastName":"Li","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Li J"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Dr","FirstName":"Lianbin","LastName":"Zou","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Zou L"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Dr.","FirstName":"Chaojian","LastName":"Shen","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Shen C"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Dr.","FirstName":"Youming","LastName":"Wang","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Wang Y"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Dr","FirstName":"Chang","LastName":"Cai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Cai C"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Prof.","FirstName":"John","LastName":"Edwards","Position":"Emeritus Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":8,"DisplayName":"Edwards J"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Prof.","FirstName":"Ian","LastName":"Robertson","Position":"Emeritus Professor","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Robertson I"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Dr","FirstName":"Baoxu","LastName":"Huang","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":10,"DisplayName":"Huang B"},{"PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":11,"DisplayName":"Bruce M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Number":1,"Affiliation":"Murdoch University","City":"Perth","State":"WA","Country":"Australia","AffiliationDisplay":"Murdoch University, Perth WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Number":2,"Affiliation":"China Animal Health and Epidemiology Centre","City":"Qingdao","State":"Shandong","Country":"China","AffiliationDisplay":"China Animal Health and Epidemiology Centre, Qingdao Shandong, China"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Number":3,"Affiliation":"Royal Veterinary College, University of London","City":" Hatfield","State":null,"Country":"UK","AffiliationDisplay":"Royal Veterinary College, University of London, Hatfield, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"05df04b7-a88b-4e97-94d3-8ffd55b94843","Number":4,"Affiliation":"Guangxi Centre of Animal Disease Prevention and Control","City":"Nanning","State":"Guangxi","Country":"China","AffiliationDisplay":"Guangxi Centre of Animal Disease Prevention and Control, Nanning Guangxi, China"}],"AuthorsHtml":"Tang H1,2, Fournie G3, Li J1, Zou L4, Shen C2, Wang Y2, Cai C1, Edwards J1,2, Robertson I1, Huang B1,2, Bruce M1","AffiliationsHtml":"
1Murdoch University, Perth WA, Australia
2China Animal Health and Epidemiology Centre, Qingdao Shandong, China
3Royal Veterinary College, University of London, Hatfield, UK
4Guangxi Centre of Animal Disease Prevention and Control, Nanning Guangxi, China
"}],"DisplayName":"Mieghan Bruce","TimeDisplay":null},{"ContactId":"3886b345-cdc0-4d26-bc72-64fa8d1e33df","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Christine","LastName":"Budke","Position":"Professor","Organization":"Texas A&M University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Sequestration and destruction of rinderpest virus containing material 10 years post-eradication","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Html":null,"PlainText":"Objectives: In 2021, the ten-year anniversary of global freedom from rinderpest was celebrated. During the last ten years, the Food and Agriculture Organization of the United Nations (FAO) and the World Organisation for Animal Health (WOAH) have helped their membership consolidate, sequence, and destroy stocks of rinderpest virus containing material (RVCM). Our objectives were to conduct a progress review of the sequestration and destruction of RVCM by WOAH Members 10 years post-eradication, and assess the risk of rinderpest re-occurrence.

Materials and methods: From June to October 2021, a review of the scientific literature was performed to identify publications related to rinderpest virus (RPV) research undertaken since 2011. In addition, WOAH documents were reviewed and a representative from each institute known by the WOAH to keep RVCM was contacted to discuss current and historical RVCM holdings, uses, and laboratory biosecurity. These data are informing a semi-quantitative risk assessment model.

Results: A search of 21 databases resulted in 17 included publications. Nine of the identified studies (53%) were conducted in facilities that are current FAO-WOAH designated rinderpest virus holding facilities (RHFs). Besides providing genome sequencing data, a main finding was that vaccination of cattle against peste des petits ruminants virus does not provide protective immunity against RPV. As of 2021, there were only 14 institutes known to be keeping RVCM, 7 of which are official RHFs. This is down from 44 laboratories in 2011. Biosecurity levels for institutes keeping RVCM ranged from BSL 2 to BSL 4. Three RHFs are currently contributing to the global rinderpest vaccine reserve.

Conclusions: Two of the six known non-approved institutes have given no indication of any plans to destroy or transfer their RVCM to an official RHF. Therefore, more remains to be done to minimize the risk of rinderpest re-occurrence.

Keywords: Rinderpest, morbillivirus, cattle, eradication, biosecurity
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Title":"Prof.","FirstName":"Christine","LastName":"Budke","Position":"Professor","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Budke C"},{"PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Title":"Prof","FirstName":"Dirk","LastName":"Pfeiffer","Position":"Chair Professor","Affiliations":"3,4","IsPresenting":false,"SortOrder":2,"DisplayName":"Pfeiffer D"},{"PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Title":"Ms.","FirstName":"Bryony","LastName":"Jones","Position":"Senior Epidemiologist","Affiliations":"5","IsPresenting":false,"SortOrder":3,"DisplayName":"Jones B"},{"PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Fournie G"},{"PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Title":null,"FirstName":"Youngjung","LastName":"Kim","Position":null,"Affiliations":"3,6","IsPresenting":false,"SortOrder":5,"DisplayName":"Kim Y"},{"PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Title":"Dr.","FirstName":"Mariana","LastName":"Marrana","Position":"Programme Manager","Affiliations":"7","IsPresenting":false,"SortOrder":6,"DisplayName":"Marrana M"},{"PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Title":"Dr.","FirstName":"Heather","LastName":"Simmons","Position":"Director","Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Simmons H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Number":1,"Affiliation":"Department of Veterinary Integrative Biosciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University","City":"College Station","State":"TX","Country":"USA","AffiliationDisplay":"Department of Veterinary Integrative Biosciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station TX, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Number":2,"Affiliation":"Institute for Infectious Animal Diseases, Texas A&M AgriLife Research","City":"College Station","State":"TX","Country":"USA","AffiliationDisplay":"Institute for Infectious Animal Diseases, Texas A&M AgriLife Research, College Station TX, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Number":3,"Affiliation":"Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong","City":"Hong Kong","State":null,"Country":"Hong Kong SAR","AffiliationDisplay":"Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Number":4,"Affiliation":"Veterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, The Royal Veterinary College","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Veterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, The Royal Veterinary College, London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Number":5,"Affiliation":"Department of Epidemiological Sciences, Animal and Plant Health Agency","City":"Weybridge","State":null,"Country":"United Kindom","AffiliationDisplay":"Department of Epidemiological Sciences, Animal and Plant Health Agency, Weybridge, United Kindom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Number":6,"Affiliation":"School of Life Sciences, University of Sussex","City":"Brighton","State":null,"Country":"United Kingdom","AffiliationDisplay":"School of Life Sciences, University of Sussex, Brighton, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5fa97eb8-10a5-4651-9a7b-9d66ceabdf4e","Number":7,"Affiliation":"World Organisation for Animal Health (WOAH)","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"World Organisation for Animal Health (WOAH), Paris, France"}],"AuthorsHtml":"Budke C1,2, Pfeiffer D3,4, Jones B5, Fournie G4, Kim Y3,6, Marrana M7, Simmons H2","AffiliationsHtml":"
1Department of Veterinary Integrative Biosciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station TX, USA
2Institute for Infectious Animal Diseases, Texas A&M AgriLife Research, College Station TX, USA
3Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR
4Veterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, The Royal Veterinary College, London, United Kingdom
5Department of Epidemiological Sciences, Animal and Plant Health Agency, Weybridge, United Kindom
6School of Life Sciences, University of Sussex, Brighton, United Kingdom
7World Organisation for Animal Health (WOAH), Paris, France
"}],"DisplayName":"Christine Budke","TimeDisplay":null},{"ContactId":"e6b43060-9694-4f46-be7d-71774d6d4fe4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Brandy","LastName":"Burgess","Position":"Associate Professor","Organization":"University Of Georgia","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Brandy A. Burgess, DVM, MSc, PhD, DACVIM, DACVPM, is currently an associate professor of epidemiology and infection control in the Department of Population Health, the Director of Infection Control and Biosecurity at the Veterinary Teaching Hospital, and the Interim Assistant Dean for Clinical Services in the College of Veterinary Medicine at the University of Georgia, in Athens, Georgia. She earned her DVM from Colorado State University, followed by a MSc, internship and residency in large animal internal medicine at the Western College of Veterinary Medicine, University of Saskatchewan, Canada. She then completed a PhD in epidemiology and residency in infection control and biosecurity at Colorado State University. She is a diplomate of the American College of Veterinary Internal Medicine and of the American College of Veterinary Preventive Medicine. Dr. Burgess’ current research efforts focus on investigating the epidemiology of important potential pathogens in veterinary medicine and public health including the exploration of risk factors and rapid methods for detection; the development of evidence-based prevention and control strategies; and clinical decision making and epidemiology education.

","Presentations":[{"Title":"Epidemiology education in the veterinary curricula – the current state of affairs","Bio":"Brandy A. Burgess, DVM, MSc, PhD, DACVIM, DACVPM, is currently an associate professor of epidemiology and infection control in the Department of Population Health, the Director of Infection Control and Biosecurity at the Veterinary Teaching Hospital, and the Interim Assistant Dean for Clinical Services in the College of Veterinary Medicine at the University of Georgia, in Athens, Georgia. She earned her DVM from Colorado State University, followed by a MSc, internship and residency in large animal internal medicine at the Western College of Veterinary Medicine, University of Saskatchewan, Canada. She then completed a PhD in epidemiology and residency in infection control and biosecurity at Colorado State University. She is a diplomate of the American College of Veterinary Internal Medicine and of the American College of Veterinary Preventive Medicine. Dr. Burgess’ current research efforts focus on investigating the epidemiology of important potential pathogens in veterinary medicine and public health including the exploration of risk factors and rapid methods for detection; the development of evidence-based prevention and control strategies; and clinical decision making and epidemiology education.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"7773fd23-faf6-43a7-8675-56fdf517823b","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"49465d71-05ae-4b9f-90f8-911cd24bc5dd","Html":null,"PlainText":"Objective: Epidemiology, considered one of the basic sciences in clinical medicine, is integral to clinical practice. In fact, the American Veterinary Medical Association Council on Education specifically identifies instruction in the principles of epidemiology to be core content in the veterinary curricula. Unfortunately, veterinary students tend to under appreciate its relevance to their lifelong learning and future practice. As a result, student engagement and content delivery can be a challenge for educators. The objective of this study was to characterize core epidemiologic content, delivery, and learning strategies employed by educators in the veterinary curricula.

Materials and methods: An on-line survey was conducted in the Fall of 2015 and Summer of 2022 of epidemiology educators responsible for delivery of core epidemiological content in the professional veterinary medical curricula at colleges in North America and abroad. The Associate Dean for Academic Affairs, or their equivalent, at each institution was contacted to identify educators responsible for delivery of this content at their respective institutions, both past and present. Subsequently, each identified educator received a personal invitation to participate in the survey. Additionally, epidemiology educators were invited to participate through postings on professional membership listservs and an epidemiology educators’ forum was conducted to develop a deeper understanding of the issues.

Results: Survey participants included educators from North America and abroad, with the majority being contemporary teachers with at least 5 years of experience. In general, educators delivered content in a stand-alone course and facilitated learning through lectures and activities.

Conclusion: This study provides a consensus on core content that we should strive to incorporate into the veterinary curricula, offers insights into the impact of the pandemic on delivery of this content, and a suggests a pathway for the future of veterinary epidemiology education.

Key words: Epidemiology, education
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"49465d71-05ae-4b9f-90f8-911cd24bc5dd","Title":"Dr.","FirstName":"Brandy","LastName":"Burgess","Position":"Associate Professor","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Burgess B"}],"Affiliations":[],"AuthorsHtml":"Burgess B","AffiliationsHtml":""}],"DisplayName":"Brandy Burgess","TimeDisplay":null},{"ContactId":"e0d5d31e-e71e-4f47-b073-8ee09eb02e13","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alyssa","LastName":"Butters","Position":"","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Use of whole-genome sequencing to investigate genetic relatedness and antimicrobial resistance of Escherichia coli within a One Health continuum","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Html":null,"PlainText":"Keywords: Antimicrobial resistance, whole-genome sequencing, One Health, molecular epidemiology
Objective: Whole-genome sequencing and comparative genomics provide a unique opportunity to study antimicrobial resistance (AMR) transmission, linking resistance gene presence with information about general bacterial genome structure to facilitate a better understanding of the acquisition, dissemination, and loss of AMR elements over time. This study explores the molecular epidemiology of AMR within a One Health continuum by using whole-genome sequencing to determine the genetic relatedness of spatiotemporally related E. coli isolates and the genetic mechanisms conferring resistance.
Materials and methods: Generic E. coli isolates were obtained from feedlot and broiler chicken fecal samples, retail beef and chicken meat, post-treatment wastewater, and well water. All samples were collected in Alberta, Canada, in 2018 and 2019. Stratified random sampling selected 288 isolates for short-read whole-genome sequencing. Genotypic AMR profiles will be compared to phenotypic resistance demonstrated by each isolate. Regression analysis with adjustment for clustering will identify epidemiological associations in the pattern and frequency of AMR elements.
Results: Phenotypically, tetracycline resistance was the most frequent class-level AMR in isolates from all sources except fecal samples from broiler chickens, in which aminoglycoside resistance was most frequent. Multi-class resistance was least frequent in isolates from retail beef and well water and most frequent in isolates from broiler chicken fecal and retail chicken meat samples. Phylogenetic trees will be presented and comparative genomics will be used to describe and compare isolate characteristics, including genotypic resistance, within and between sources.
Conclusion: Effective AMR mitigation requires a thorough understanding of the molecular epidemiology underlying its transmission. Whole-genome sequencing of isolates within a One Health setting will link AMR carriage with insight on the genetic evolution of the isolates and allow robust epidemiological analysis of the factors underpinning AMR transfer, helping shape vital risk assessment models and mitigation programs.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Title":"Dr.","FirstName":"Alyssa","LastName":"Butters","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Butters A"},{"PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Title":"Dr.","FirstName":"Karen","LastName":"Liljebjelke","Position":"Assistant Professor (Bacteriology)","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Liljebjelke K"},{"PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Title":"Dr","FirstName":"Sheryl","LastName":"Gow","Position":"Veterinary Epidemiologist","Affiliations":"3,4","IsPresenting":false,"SortOrder":3,"DisplayName":"Gow S"},{"PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Title":"Dr.","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Waldner C"},{"PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Title":"Dr.","FirstName":"Sylvia","LastName":"Checkley","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":5,"DisplayName":"Checkley S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Number":1,"Affiliation":"Faculty of Veterinary Medicine, University Of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Faculty of Veterinary Medicine, University Of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Number":2,"Affiliation":"AMR One Health Consortium","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"AMR One Health Consortium, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Number":3,"Affiliation":"Public Health Agency of Canada (CIPARS/FoodNet)","City":"Saskatoon","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada (CIPARS/FoodNet), Saskatoon Saskatchewan, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7eb1ab4f-d587-4101-b20d-bd381767885e","Number":4,"Affiliation":"University of Saskatchewan, Department of Large Animal Clinical Sciences","City":"Saskatoon","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"University of Saskatchewan, Department of Large Animal Clinical Sciences, Saskatoon Saskatchewan, Canada"}],"AuthorsHtml":"Butters A1,2, Liljebjelke K1,2, Gow S3,4, Waldner C4, Checkley S1,2","AffiliationsHtml":"
1Faculty of Veterinary Medicine, University Of Calgary, Calgary AB, Canada
2AMR One Health Consortium, Canada
3Public Health Agency of Canada (CIPARS/FoodNet), Saskatoon Saskatchewan, Canada
4University of Saskatchewan, Department of Large Animal Clinical Sciences, Saskatoon Saskatchewan, Canada
"}],"DisplayName":"Alyssa Butters","TimeDisplay":null},{"ContactId":"6bff1535-7232-4018-9cba-848c3b63927c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Benjamin","LastName":"Caddey","Position":"PhD Student","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Determinants of antimicrobial resistance patterns in bovine mastitis Streptococcus isolates from Canadian dairy herds","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"3f0a731d-963b-4d47-ab5b-223a6974962a","Html":null,"PlainText":"Introduction and Objectives:
The emergence and spread of antimicrobial resistance (AMR) is a global burden that threatens animal, human, and environmental health. The development of AMR in livestock production industries produces a serious risk towards our food security. In Canadian dairy herds, intramammary infections causing clinical and subclinical mastitis are the most common reason for antimicrobial use (AMU). Streptococcus spp. are among the most important groups of bacteria causing clinical mastitis worldwide, and unnecessary use of critically important antimicrobial drug classes against these pathogens may further the risk of a high AMR prevalence. Therefore, we aim to investigate the molecular epidemiology of Streptococcus spp. in Canada, including determining the prevalence and risk factors of AMR.

Methods:
Whole-genome sequencing (WGS) of approximately 1000 bovine mastitis Streptococcus isolates from the Mastitis Pathogen Culture Collection of the Canadian Bovine Mastitis and Milk Quality Research Network will provide deep insight into determinant genes and mechanisms of AMR, and allow for phylogenetic analysis for species- and strain-level comparisons. Phenotypic AMR will also be explored by broth microdilution against 20 antimicrobials commonly administered in livestock and human medicine. Risk factors for phenotypic AMR prevalence and multidrug resistance will be explored against AMU rates, route of antimicrobial administration, Streptococcus WGS information, and herd-level farm and production parameters. Phenotypic and genotypic analyses are currently being performed.

Conclusion:
As the dairy industry is pushed towards more stringent antimicrobial stewardship practices, changes to policy regulations and herd management practices must be drawn from comprehensive research. Correspondingly, the data to be presented from this surveillance of Streptococcus mastitis isolates will uncover the magnitude of AMR levels across Canada, and will provide intense understanding of AMR determinants and risk factors for researchers and dairy industry professionals alike.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3f0a731d-963b-4d47-ab5b-223a6974962a","Title":"Mr.","FirstName":"Benjamin","LastName":"Caddey","Position":"PhD Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Caddey B"},{"PresentationId":"3f0a731d-963b-4d47-ab5b-223a6974962a","Title":"Dr.","FirstName":"Diego","LastName":"Nobrega","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Nobrega D"},{"PresentationId":"3f0a731d-963b-4d47-ab5b-223a6974962a","Title":"Dr.","FirstName":"Jeroen","LastName":"De Buck","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"De Buck J"},{"PresentationId":"3f0a731d-963b-4d47-ab5b-223a6974962a","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Barkema H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3f0a731d-963b-4d47-ab5b-223a6974962a","Number":1,"Affiliation":"Department of Production Animal Health; AMR – One Health Consortium, University Of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health; AMR – One Health Consortium, University Of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3f0a731d-963b-4d47-ab5b-223a6974962a","Number":2,"Affiliation":"Department of Population Medicine, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Caddey B1, Nobrega D2, De Buck J1, Barkema H1","AffiliationsHtml":"
1Department of Production Animal Health; AMR – One Health Consortium, University Of Calgary, Calgary AB, Canada
2Department of Population Medicine, University of Guelph, Guelph ON, Canada
"}],"DisplayName":"Benjamin Caddey","TimeDisplay":null},{"ContactId":"9ebea60f-821d-4479-b550-e585619c40f8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Megan","LastName":"Campbell","Position":null,"Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Don’t ‘dog’ the tough questions: Understanding occupational stressors and the perceived impacts of mental health on veterinarians’ provision of care ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"55c66f29-93a0-4871-a19f-7a6c7131a7ed","Html":null,"PlainText":"Keywords: veterinarian, stressors, mental health, provision of care

Veterinarians in Canada, the United States, the United Kingdom, New Zealand, and Australia have elevated risks of anxiety, depression, and/or suicide compared to their general populations. Occupational stressors contribute to stress, and potentially distress, which can negatively impact mental health. Subsets of veterinarians, including women and younger veterinarians are more prone to poor mental health compared to their counterparts. Poor mental health has been reported to impact provision of care amongst human physicians; however, similar studies in veterinarians are scarce. To better understand the lived experiences of stress and poor mental health of veterinarians, as well as the perceived impacts on provision of care, 25 in-depth, one-on-one interviews were conducted with practicing veterinarians at the 2016 Canadian Veterinary Medical Association Conference in Ontario, Canada. The average interview length was 57 minutes. The interviews were transcribed verbatim. Interviews were analyzed to find meaningful patterns within the dataset, using thematic analysis with a combination of inductive and deductive coding. The data provided insights into occupational stressors, including: moral distress, high work demands, long working hours, interpersonal relationships, personal finances, the difficulties associated with being newly graduated, and self-described personal characteristics of participants (e.g. “overachiever”). Participants described a myriad of ways in which their mental health influenced provision of care, including: their ability to concentrate, the quality of care, their level and quality of communication with clients and fellow colleagues, and perceived decreased empathy. These results add to the knowledge of the occupational stressors experienced by practicing veterinarians and provide important insights into how stress and mental health are perceived to impact veterinarians’ provision of care. Additional larger scale studies of the ramifications of poor mental health among members of veterinary teams, including practice-level factors positively and negatively associated with mental well-being, are warranted. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"55c66f29-93a0-4871-a19f-7a6c7131a7ed","Title":"Miss","FirstName":"Megan","LastName":"Campbell","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Campbell M"},{"PresentationId":"55c66f29-93a0-4871-a19f-7a6c7131a7ed","Title":"Dr.","FirstName":"Basem","LastName":"Gohar","Position":"Assistant professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Gohar B"},{"PresentationId":"55c66f29-93a0-4871-a19f-7a6c7131a7ed","Title":"Ms.","FirstName":"Briana","LastName":"Hagen","Position":"Post-doctoral Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Hagen B"},{"PresentationId":"55c66f29-93a0-4871-a19f-7a6c7131a7ed","Title":"Dr.","FirstName":"Jeffrey","LastName":"Wichtel","Position":"Dean of the Ontario Veterinary College","Affiliations":"1,3","IsPresenting":false,"SortOrder":4,"DisplayName":"Wichtel J"},{"PresentationId":"55c66f29-93a0-4871-a19f-7a6c7131a7ed","Title":"Ms.","FirstName":"Andria","LastName":"Jones-Bitton","Position":"Professor & Director Of Well-being Programming","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Jones-Bitton A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"55c66f29-93a0-4871-a19f-7a6c7131a7ed","Number":1,"Affiliation":"Department of Population Medicine, University Of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University Of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"55c66f29-93a0-4871-a19f-7a6c7131a7ed","Number":2,"Affiliation":"Centre for Research in Occupational Safety & Health","City":"Sudbury","State":"Ontario","Country":"Canada","AffiliationDisplay":"Centre for Research in Occupational Safety & Health, Sudbury Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"55c66f29-93a0-4871-a19f-7a6c7131a7ed","Number":3,"Affiliation":"Dean’s Office, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Dean’s Office, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Campbell M1, Gohar B1,2, Hagen B1, Wichtel J1,3, Jones-Bitton A1","AffiliationsHtml":"
1Department of Population Medicine, University Of Guelph, Guelph Ontario, Canada
2Centre for Research in Occupational Safety & Health, Sudbury Ontario, Canada
3Dean’s Office, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Megan Campbell","TimeDisplay":null},{"ContactId":"ce7ed3b8-95aa-4968-ba77-9ac68aeaa50d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Magnus R.","LastName":"Campler","Position":"Research Associate","Organization":"The Ohio State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Identification of biosecurity gaps within swine sites using the Secure Pork Supply framework.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7ef23fe7-0a8c-4a54-afbd-b854c4e18dee","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"83d5daaf-eef3-4f5c-bc01-4c904009ce60","Html":null,"PlainText":"The prevention of potential foreign animal diseases in the swine industry is a high priority with re-emerging threats such as African Swine Fever appearing close to North American borders. The Secure Pork Supply (SPS) plan provides a voluntary framework for adequate biosecurity preparedness in the event of a disease outbreak.

Objectives: To describe SPS plan implementation gaps in U.S. swine sites, via the Rapid Access Biosecurity (RAB) app (RABapp™) standardization procedures.

Material and methods: Farm managers and veterinarians from Ohio were invited to participate in the SPS program through workshops and the pork association. Managers were tasked to work with veterinarians to create site maps with biosecurity measures to be implemented in case of a foreign animal disease, which later would be professionally assessed, digitized and mapped using geographic information system software. Maps included a variety of features including perimeter buffer areas, lines of separation between animal-housing buildings and outdoor environment, animal loading areas, site entries, designated parking- and disinfection areas, and carcass disposal routes/areas. Additionally, a comprehensive SPS written plan (https://www.securepork.org/pork-producers/biosecurity/) including demographics, biosecurity plans, farm routines, and contact information was required.

Results: Seventy-seven swine site maps and written plans were obtained. Inadequacies to SPS plans are described in Table 1.

Conclusions: Human error and oversight in biosecurity implementation may be a large hurdle for disease prevention for U.S. swine farms. Additional training and resources to promote biosecurity and safe animal handling for swine producers should be encouraged.

Keywords: Swine disease control, biosecurity, geospatial information system, outbreak response
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"83d5daaf-eef3-4f5c-bc01-4c904009ce60","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7e91b06316854d99bf1a239dd8845552","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"83d5daaf-eef3-4f5c-bc01-4c904009ce60","Title":"Dr.","FirstName":"Magnus","LastName":"Campler","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Campler M"},{"PresentationId":"83d5daaf-eef3-4f5c-bc01-4c904009ce60","Title":null,"FirstName":"Kelsey","LastName":"Mills","Position":"Research Technician","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Mills K"},{"PresentationId":"83d5daaf-eef3-4f5c-bc01-4c904009ce60","Title":"Dr","FirstName":"Jason A","LastName":"Gavlis","Position":"Post-doctoral researcher","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Gavlis J"},{"PresentationId":"83d5daaf-eef3-4f5c-bc01-4c904009ce60","Title":"Dr","FirstName":"Gustavo","LastName":"Machado","Position":"Assistant professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Machado G"},{"PresentationId":"83d5daaf-eef3-4f5c-bc01-4c904009ce60","Title":"Dr","FirstName":"Andreia G","LastName":"Arruda","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Arruda A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"83d5daaf-eef3-4f5c-bc01-4c904009ce60","Number":1,"Affiliation":"The Ohio State University","City":"Columbus","State":"Ohio","Country":"USA","AffiliationDisplay":"The Ohio State University, Columbus Ohio, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"83d5daaf-eef3-4f5c-bc01-4c904009ce60","Number":2,"Affiliation":"North Carolina State University","City":"Raleigh","State":"NC","Country":"USA","AffiliationDisplay":"North Carolina State University, Raleigh NC, USA"}],"AuthorsHtml":"Campler M1, Mills K2, Gavlis J2, Machado G2, Arruda A1","AffiliationsHtml":"
1The Ohio State University, Columbus Ohio, USA
2North Carolina State University, Raleigh NC, USA
"}],"DisplayName":"Magnus R. Campler","TimeDisplay":null},{"ContactId":"18007c2f-16e5-4f20-b5ab-c9bbf28fd58f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Charles","LastName":"Caraguel","Position":"Associate Professor","Organization":"The University of Adelaide","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f84e650d91c14a8b846454c15a3314ca","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr Charles Caraguel is an Associate Professor in Veterinary Epidemiology at The University of Adelaide and is a member of the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE). Although Charles learnt about epidemiology through aquaculture health management, he now teaches and applies advanced quantitative epidemiological methods across a range of host species and health disorders. Charles' enthusiasm is contagious so please respect due social distancing when you meet him.

","Presentations":[{"Title":"Is there any diagnostic value in running the same binary test twice?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a8914baf-35d0-4b53-9a0e-b4a8e9182c17","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.A - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"9acb9bfe-ac04-4804-a0a4-6aaa0530f7c1","Html":null,"PlainText":"1.Objective(s). In practice, it is tempting to rerun a test to increase our confidence on a test result. However, runs from a same test are likely (unconditionally) dependent and may not guarantee a gain in diagnostic accuracy. The impact of test dependence can be difficult to predict as it mixes both test accuracy and precision. We aimed at exploring the probabilistic benefits of rerunning a test to provide guidance to test operators.

2.Materials and Methods. We reconstructed contingency tables for cases and non-cases between two runs of a same binary test using set diagnostic sensitivity (DSe) and specificity (DSp) and incremental fractions of the minimum and maximum conditional dependences. We assessed the diagnostic gain of rerunning a test by comparing the likelihood ratio of a single run result with the likelihood ratio of two-run results.

3.Results. Runs of a perfect test (DSe=DSp=100%) could not be conditionally dependent. For other tests, conditional dependences were most likely positive except when DSe or DSp=50% where negative and positive dependencies were equally likely. A meaningful diagnostic gain occurred when two positive runs were poorly or negatively correlated conditional on non-cases (DSp correlation) or two negative runs conditional on cases (DSe correlation). Reruns with perfect positive correlations (perfect repeatability) provided no diagnostic gain while perfect negative correlations (poorest repeatability) provided the best gain. When both runs disagreed, a gain was very unlikely and unpredictable.

4.Conclusion. There is no diagnostic gain in rerunning a perfectly accurate or repeatable test. Only imperfect and poorly repeatable tests may gain diagnostic value under the unlikely scenario where both runs agree. More likely, discordant runs would decrease test users’ confidence. Therefore, unless the first run was faulty, there is little benefit in rerunning a same test twice.

Keywords: diagnostic test, binary, correlation, sensitivity, specificity.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9acb9bfe-ac04-4804-a0a4-6aaa0530f7c1","Title":"Dr.","FirstName":"Charles","LastName":"Caraguel","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Caraguel C"},{"PresentationId":"9acb9bfe-ac04-4804-a0a4-6aaa0530f7c1","Title":"Dr.","FirstName":"Henrik","LastName":"Stryhn","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Stryhn H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9acb9bfe-ac04-4804-a0a4-6aaa0530f7c1","Number":1,"Affiliation":"School of Animal & Vetrinary Sciences, The University of Adelaide","City":"Roseworthy","State":"SA","Country":"Australia","AffiliationDisplay":"School of Animal & Vetrinary Sciences, The University of Adelaide, Roseworthy SA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9acb9bfe-ac04-4804-a0a4-6aaa0530f7c1","Number":2,"Affiliation":"Atlantic Veterinary College, The University of Prince Edward Island","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"Atlantic Veterinary College, The University of Prince Edward Island, Charlottetown PEI, Canada"}],"AuthorsHtml":"Caraguel C1, Stryhn H2","AffiliationsHtml":"
1School of Animal & Vetrinary Sciences, The University of Adelaide, Roseworthy SA, Australia
2Atlantic Veterinary College, The University of Prince Edward Island, Charlottetown PEI, Canada
"},{"Title":"Supporting evidence-based veterinary practices – from the classroom to the consult room","Bio":"Dr Charles Caraguel is an Associate Professor in Veterinary Epidemiology at The University of Adelaide and is a member of the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE). Although Charles learnt about epidemiology through aquaculture health management, he now teaches and applies advanced quantitative epidemiological methods across a range of host species and health disorders. Charles' enthusiasm is contagious so please respect due social distancing when you meet him.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"7773fd23-faf6-43a7-8675-56fdf517823b","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"57136067-0b1d-43cb-bd5c-bc809ff6bbf4","Html":null,"PlainText":"Effective practice of evidence-based veterinary medicine (EBVM), requires scientific as well as clinical skills to make informed recommendations about the aetiology, diagnosis, treatment or prognosis of an individual patient. Some veterinary curricula have recently integrated compulsory research training. This includes dedicated EBVM classes where students learn, among other skills, how to source the best current veterinary evidence from the literature. Although current practitioners most likely ‘forage’ evidence from expert-based resources ‘pushed’ to their attention, it is expected that modern EBVM practitioners will want to also ‘hunt’ and ‘pull’ primary peer-reviewed literature when accessible evidence syntheses or summaries are lacking.

Multiple searchable databases that index and abstract articles exist but none have a comprehensive coverage of the veterinary-related journals and it is recommended searching more than one database. Some of those databases are freely searchable (e.g. Medline), however, the most comprehensive ones for veterinary evidence require a subscription (e.g. CAB Abstracts). Similarly, some of the searching interfaces that provide access to several databases at once are also not free (e.g. Web of ScienceTM). Subscription to databases does not provide access to full text articles. Despite the increasing number of open-access articles, additional subscription to individual publisher(s) may be required.

Educational institutions usually provide full or partial subscriptions to databases, search interfaces and articles for in-training students. Despite individual subscriptions being available, they are rarely affordable and we suspect that graduates lose access to primary evidence in practice. Although the membership to some professional organisations may include these services, the relevance and coverage of the accessible literature remains uncertain.

Using a convenient selection of countries, we surveyed if veterinary professional organisations offer access to closed databases and full articles to their members. The results of the survey will be presented and the relevance of training veterinary scientists will be discussed accordingly.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"57136067-0b1d-43cb-bd5c-bc809ff6bbf4","Title":"Dr.","FirstName":"Charles","LastName":"Caraguel","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Caraguel C"},{"PresentationId":"57136067-0b1d-43cb-bd5c-bc809ff6bbf4","Title":"Dr.","FirstName":"Torben","LastName":"Nielsen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Nielsen T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"57136067-0b1d-43cb-bd5c-bc809ff6bbf4","Number":1,"Affiliation":"The University of Adelaide","City":"Roseworthy","State":"SA","Country":"Australia","AffiliationDisplay":"The University of Adelaide, Roseworthy SA, Australia"}],"AuthorsHtml":"Caraguel C1, Nielsen T1","AffiliationsHtml":"
1The University of Adelaide, Roseworthy SA, Australia
"},{"Title":"A journey in exploring the use of mortalities to investigate live fish","Bio":"Dr Charles Caraguel is an Associate Professor in Veterinary Epidemiology at The University of Adelaide and is a member of the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE). Although Charles learnt about epidemiology through aquaculture health management, he now teaches and applies advanced quantitative epidemiological methods across a range of host species and health disorders. Charles' enthusiasm is contagious so please respect due social distancing when you meet him.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"84014ab9-7df8-45c4-91df-995bc0c06e09","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"7_Special Session: Aquatic Epidemiology for Sustainable Food Animal Production Progress, Opportunities and Challenges","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"06ef2d5e-a51d-4f7e-87a7-9be13cd8b735","Html":null,"PlainText":"1.Objective(s). Disease investigation of farmed fish often relies on accessing freshly dead individuals that are easier to capture, have lower value, and more likely to have experienced disease processes. However, this approach may become problematic when investigating biochemical disorders, which require analysis of fresh blood specimens. We explored the use of post-mortem vitreous humour (VH) specimens from Southern Bluefin Tunas (SBT, Thunnus maccoyii) to infer blood biochemical profiles ante-mortem.

2.Materials and Methods. First, we monitored potential changes in VH biochemical parameters at 0h, 24h and 48h after death. Then, we assessed the agreement between VH and blood biochemical parameters at harvest using concordance correlation coefficients (CCC) and Bland & Altman’s plot (BAP). Finally, we produced 95% reference intervals for SBT blood biochemiclas using the MS Excel add-on Reference Value Advisor v2.1.

3.Results. Ten biochemicals could not be measured in VH - albumin, alkaline transaminase, cholesterol, creatinine, total bilirubin, total protein, triglycerides, B-hydroxybutyrate, glutamate dehydrogenase, globulin and anion gap. Only VH amylase, glucose and sodium showed no evidence of concentration change at 24h after death relative to 0h (non-parametric P > 0.20), however, all presented significant changes at 48h after death (non-parametric P < 0.05). The comparison between the VH and blood measures showed no or poor agreement for all biochemicals (CCC ≈ 0, BAP with no horizontal line). Reference ranges were successfully generated with no evidence of sex effect but some age- and company-specific distributions were apparent for few analytes.

4.Conclusion. VH specimens from dead fish unlikely provide insights on pre-death biochemical imbalances, at least in ranched SBT. The use of reference intervals is underutilised in aquaculture health management first because of its logistic implications but also because its inherent lack of generalisability (i.e. strong dependence with husbandry practices).

Keywords: Southern bluefin tuna, biochemistry, vitreous humour, reference interval","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"06ef2d5e-a51d-4f7e-87a7-9be13cd8b735","Title":"Dr.","FirstName":"Charles","LastName":"Caraguel","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Caraguel C"},{"PresentationId":"06ef2d5e-a51d-4f7e-87a7-9be13cd8b735","Title":"Dr.","FirstName":"Johanna","LastName":"Mahadevan","Position":"Adjunct lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mahadevan J"},{"PresentationId":"06ef2d5e-a51d-4f7e-87a7-9be13cd8b735","Title":"Dr.","FirstName":"James","LastName":"Fensham","Position":"Consultant","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Fensham J"},{"PresentationId":"06ef2d5e-a51d-4f7e-87a7-9be13cd8b735","Title":"Ms.","FirstName":"Kirsten","LastName":"Rough","Position":"Head scientist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Rough K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"06ef2d5e-a51d-4f7e-87a7-9be13cd8b735","Number":1,"Affiliation":"The University of Adelaide","City":"Roseworthy","State":"SA","Country":"Australia","AffiliationDisplay":"The University of Adelaide, Roseworthy SA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"06ef2d5e-a51d-4f7e-87a7-9be13cd8b735","Number":2,"Affiliation":"Future Fisheries Veterinary Services Pty Ltd","City":"East Ballina","State":"NSW","Country":"Australia","AffiliationDisplay":"Future Fisheries Veterinary Services Pty Ltd, East Ballina NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"06ef2d5e-a51d-4f7e-87a7-9be13cd8b735","Number":3,"Affiliation":"Australian Southern Bluefin Tuna Industry Association","City":"Port Lincoln","State":"SA","Country":"Australia","AffiliationDisplay":"Australian Southern Bluefin Tuna Industry Association, Port Lincoln SA, Australia"}],"AuthorsHtml":"Caraguel C1, Mahadevan J1, Fensham J2, Rough K3","AffiliationsHtml":"
1The University of Adelaide, Roseworthy SA, Australia
2Future Fisheries Veterinary Services Pty Ltd, East Ballina NSW, Australia
3Australian Southern Bluefin Tuna Industry Association, Port Lincoln SA, Australia
"}],"DisplayName":"Charles Caraguel","TimeDisplay":null},{"ContactId":"399bfab5-453b-4fd5-9ec3-1c9c2942cf58","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nicolas","LastName":"Cardenas","Position":"Postdoctoral Fellow","Organization":"North Carolina State University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/74f85389586d4283b1fab81576f618a5","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A multispecies Foot-and-mouth disease (FMD) stochastic model to quantify the contribution of different routes of transmission","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7e30a9c-236f-4ba3-b0a6-7c7cd4fd235d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.D - Infectious Disease Modeling","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"36d35a38-af1d-4e59-b5d9-1bc4657ff71f","Html":null,"PlainText":"Foot-and-mouth disease (FMD) is a viral infection capable of infecting and transmitting between multiple food-animal species. Mathematical models have been widely used to simulate FMD introduction and propagation scenarios; however, models often do not consider interaction and transmission dynamics among species.

Here, we developed a stochastic transmission model to quantify: i) the number of secondarily infected farms and animals of multiple species; ii) the contribution of network contact and local transmission in FMD transmission, and iii) distance in kilometers from the initial outbreak to the secondary infections.

Our model consisted of Susceptible-Exposed-Infected-Recovered (SEIR) compartments. We used real farm-level data from 2018 to 2020 to model the births, deaths, between-farm animal movements and calculated the proximity between-farms (spatial transmission), to re-create the population dynamics in each farm and between multiple species (bovine, swine, and small ruminants). Our model considered transmission rates according to each species interaction during 30 days of disease propagation.

The results from our model indicate, on average 88 bovine farms were infected, followed by 22 swine farms and one small ruminant farm. Additionally, these results suggest that spatial transmission was the main transmission route for most species. However, animal movements appeared to play an important role in FMD dissemination into swine farms.

In conclusion, our results highlight the uneven dissemination of FMD with a preference for spatial transmission, while also demonstrating that dissemination was restricted to the 20 km mark.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"36d35a38-af1d-4e59-b5d9-1bc4657ff71f","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/219f1a1aeb09452ebe040ff3e8bdefc0","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"36d35a38-af1d-4e59-b5d9-1bc4657ff71f","Title":"Dr.","FirstName":"Nicolas","LastName":"Cardenas","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cardenas N"},{"PresentationId":"36d35a38-af1d-4e59-b5d9-1bc4657ff71f","Title":"Miss","FirstName":"Abagael L.","LastName":"Sykes","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Sykes A"},{"PresentationId":"36d35a38-af1d-4e59-b5d9-1bc4657ff71f","Title":null,"FirstName":"Francisco P. N.","LastName":"Lopes","Position":"Official veterinary service","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Lopes F"},{"PresentationId":"36d35a38-af1d-4e59-b5d9-1bc4657ff71f","Title":"Dr.","FirstName":"Gustavo","LastName":"Machado","Position":"Assistant professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Machado G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36d35a38-af1d-4e59-b5d9-1bc4657ff71f","Number":1,"Affiliation":"Department of Population Health and Pathobiology, North Carolina State University","City":"Raleigh","State":"NC","Country":"USA","AffiliationDisplay":"Department of Population Health and Pathobiology, North Carolina State University, Raleigh NC, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36d35a38-af1d-4e59-b5d9-1bc4657ff71f","Number":2,"Affiliation":"Departamento de Defesa Agropecuária, Secretaria da Agricultura, Pecuária e Desenvolvimento Rural","City":"Porto Alegre ","State":"Rio Grande do Sul","Country":"Brazil","AffiliationDisplay":"Departamento de Defesa Agropecuária, Secretaria da Agricultura, Pecuária e Desenvolvimento Rural, Porto Alegre Rio Grande do Sul, Brazil"}],"AuthorsHtml":"Cardenas N1, Sykes A1, Lopes F2, Machado G1","AffiliationsHtml":"
1Department of Population Health and Pathobiology, North Carolina State University, Raleigh NC, USA
2Departamento de Defesa Agropecuária, Secretaria da Agricultura, Pecuária e Desenvolvimento Rural, Porto Alegre Rio Grande do Sul, Brazil
"}],"DisplayName":"Nicolas Cardenas","TimeDisplay":null},{"ContactId":"bb17863c-3084-4f65-9630-fdd200a30e03","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lorcan","LastName":"Carnegie","Position":"PhD","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0bf81bc29a5544c791b089f3277f1c7f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Unravelling H9N2 and H5N1 avian influenza virus transmission along Bangladeshi poultry trading networks","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Html":null,"PlainText":"Objective: Influenza A virus subtypes H9N2 and H5N1 are endemic in Bangladesh's poultry population, affecting poultry production and posing a zoonotic transmission risk. We aim to assess how the dissemination of these avian influenza viruses (AIVs) is shaped by the configuration of poultry production and distribution networks.

Materials and methods: We use phylodynamic approaches to investigate the spatial spread and transmission patterns of H9N2 and H5N1 viruses in Bangladesh’s poultry population, focusing on live-bird markets in the country’s two largest cities (Dhaka, Chattogram) and their respective supply networks.

Results: Molecular clock phylogenies reveal that whilst viral transmissions primarily occur between birds sold at the same major city, Dhaka and Chattogram sequences are often closely phylogenetically related. This apparent degree of “connectivity” between cities could either result from direct transmissions between locations or the same AIV lineages being introduced to each location from their catchment areas. We do not find strong evidence for long-duration, intra-market persistence of AIV lineages. Multiple, genetically diverse viral lineages of each subtype are often simultaneously present in live-bird markets within each city, likely indicating strong epidemiological connections between these markets, as suggested by the configuration of the trading network in which they are embedded. Phylogeny-trait correlation analyses imply that H9N2 viral transmissions are less frequent between the three different chicken types (broiler, sonali and deshi) sold in Chattogram than those sold in Dhaka, and discrete-trait analysis using generalized-linear-models indicate that the frequency of H9N2 transmissions between different chicken types in each city may be driven by degree of overlap between their catchment areas.

Conclusion: Overall, our study improves understanding of how AIV dispersal patterns vary within the poultry system. Our results can contribute to tailoring of surveillance and interventions to better account for local heterogeneity in AIV transmission.

Key Words: Avian Influenza, Bangladesh, Phylodynamics, H5N1, H9N2","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Title":"Mr.","FirstName":"Lorcan","LastName":"Carnegie","Position":"PhD","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Carnegie L"},{"PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Title":"Dr","FirstName":"Jayna","LastName":"Raghwani","Position":"Senior Post-doctoral Researcher","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Raghwani J"},{"PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Title":"Dr","FirstName":"Mohammed","LastName":"Samad","Position":"Senior Scientific Officer","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Samad M"},{"PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Title":"Prof","FirstName":"Paritosh Kumar","LastName":"Biswas","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Biswas P"},{"PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Title":null,"FirstName":null,"LastName":"BALZAC- One Health Poultry Hub consortium","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"BALZAC- One Health Poultry Hub consortium"},{"PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Title":"Ms.","FirstName":"Sarah","LastName":"Hill","Position":"PhD Candidate","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Hill S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Number":1,"Affiliation":"Pathobiology and Population Sciences, Royal Veterinary College","City":null,"State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Pathobiology and Population Sciences, Royal Veterinary College, Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Number":2,"Affiliation":"Department of Zoology, Oxford University","City":"Oxford","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Zoology, Oxford University, Oxford, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Number":3,"Affiliation":" Animal Health Research Division, Bangladesh Livestock Research Institute","City":"Dhaka","State":null,"Country":"Bangladesh","AffiliationDisplay":" Animal Health Research Division, Bangladesh Livestock Research Institute, Dhaka, Bangladesh"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Number":4,"Affiliation":"Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University","City":"Chattogram","State":null,"Country":"Bangladesh","AffiliationDisplay":"Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"edb8e8ac-a47c-4f54-ab56-44e512954523","Number":5,"Affiliation":"BALZAC- One Health Poultry Hub consortium","City":null,"State":null,"Country":null,"AffiliationDisplay":"BALZAC- One Health Poultry Hub consortium"}],"AuthorsHtml":"Carnegie L1, Raghwani J2, Samad M3, Biswas P4, BALZAC- One Health Poultry Hub consortium5, Hill S1","AffiliationsHtml":"
1Pathobiology and Population Sciences, Royal Veterinary College, Hertfordshire, United Kingdom
2Department of Zoology, Oxford University, Oxford, United Kingdom
3 Animal Health Research Division, Bangladesh Livestock Research Institute, Dhaka, Bangladesh
4Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh
5BALZAC- One Health Poultry Hub consortium
"}],"DisplayName":"Lorcan Carnegie","TimeDisplay":null},{"ContactId":"f0fe465c-bd63-4852-8413-178bd8f34afa","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Charles","LastName":"Carslake","Position":"PhD student","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Repeatability and predictability of calf feeding behaviours – quantifying between and within individual variation for precision livestock farming","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"000e7006-a4de-44ac-9754-75b14228ffca","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.A - Production diseases","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"2d57857e-9667-4722-a635-17f60fbd3369","Html":null,"PlainText":"Keywords: Health and welfare, precision livestock, feeding behaviour, animal personality, dairy calves.

Objective: Endemic disease poses a major challenge to the economic and environmental sustainability of livestock production systems worldwide. Between 2011 and 2018, 3.3 million cattle died on UK farms alone. One proposed solution is to employ sensor technologies to detect changes in behaviour that precede or occur alongside ill health. However, translating behavioural measurements into health and welfare metrics remains elusive. One reason could be insufficient awareness of the substantial behavioural variation that exists between and within individuals. Contextually, and temporally consistent between individual differences in behaviour are termed animal personality. Quantifying such differences in behavioural data could assist in developing more accurate approaches to health and welfare monitoring. Here we use routinely collected data from an automatic milk feeder to quantify between and within individual variation in calf feeding behaviour.

Material and Methods: Feeding records from 48 clinically healthy, pre-weaned dairy calves over two different feeding contexts (pair housing followed by group housing) were analysed using multivariate double hierarchical generalised linear models. Repeatability, individual variation in predictability, contextual stability and correlations between behavioural traits were extracted from the model. Associations between behavioural traits and weight gain were tested using linear regression.

Results: Feeding rate and meal frequency had substantial, temporally, and contextually consistent between individual differences (repeatability > 0.4). Between individual variation in predictability indicates that calves with predictable and unpredictable feeding rates coexist. Finally, we show that calves that had more meals also drank faster (r = 0.28 [0.00 - 0.58]) and that these calves gained significantly more weight.

Conclusion: Substantial contextually and temporally consistent between individual differences in calf feeding behaviour exist. These can be termed animal personality. Future studies that use feeding data for health and welfare monitoring should account for these differences. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2d57857e-9667-4722-a635-17f60fbd3369","Title":"Mr.","FirstName":"Charles","LastName":"Carslake","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Carslake C"},{"PresentationId":"2d57857e-9667-4722-a635-17f60fbd3369","Title":"Miss","FirstName":"Francesca","LastName":"Occhiuto","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Occhiuto F"},{"PresentationId":"2d57857e-9667-4722-a635-17f60fbd3369","Title":"Dr","FirstName":"Jorge","LastName":"Vázquez Diosdado","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Vázquez Diosdado J"},{"PresentationId":"2d57857e-9667-4722-a635-17f60fbd3369","Title":"Prof","FirstName":"Jasmeet","LastName":"Kaler","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Kaler J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2d57857e-9667-4722-a635-17f60fbd3369","Number":1,"Affiliation":"School of Veterinary Medicine and Science, University of Nottingham","City":"Sutton Bonington","State":"Nottinghamshire","Country":"United Kingdom","AffiliationDisplay":"School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Nottinghamshire, United Kingdom"}],"AuthorsHtml":"Carslake C1, Occhiuto F, Vázquez Diosdado J, Kaler J","AffiliationsHtml":"
1School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Nottinghamshire, United Kingdom
"}],"DisplayName":"Charles Carslake","TimeDisplay":null},{"ContactId":"53440b9d-3df0-43a1-a1d0-6ed8b41429d8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Casey","LastName":"Cazer","Position":"Assistant Professor","Organization":"Cornell University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessing Knowledge and Awareness of Antimicrobial Use and Resistance among Veterinary Students","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"97c96c1f-0955-4bc8-9a07-31dcd437828d","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Html":null,"PlainText":"Objective:
Our objective was to assess veterinary students' knowledge and awareness of antimicrobial properties, such as pharmacokinetics and pharmacodynamics, antimicrobial resistance (AMR), antimicrobial stewardship (AMS), and clinical antimicrobial use (AMU) scenarios to guide educational efforts in the current pre-clinical and clinical curriculum.

Methods:
A repeated cross-sectional study was conducted among Cornell University veterinary students in the Class of 2021 (107 students) using a standardized online survey in August 2020, before their clinical rotations, and in May 2021, after their clinical rotations. Survey questions included confidence questions (Likert-type scale), true/false, and multiple choice.

Results:
A total of 56 participants responded to the pre-clinical survey (26 completed), and 23 responded to the post-clinical survey (17 completed). The average score was 54% in the pre-clinical survey and 53% in the post-clinical survey. In the pre-clinical survey, students had the greatest knowledge of AMR (average score: 80%), followed by AMS (67%), clinical AMU scenarios (48%), and antimicrobial properties (44%). Students had both the highest confidence (60% of participants selected very or somewhat confident) and score in the AMR topic. The AMS topic had the second-highest average score, but students felt the least confident in it (30%). On average, students were aware of two to three AMS guidelines but had read only one, with no difference between the pre- and post-clinical rotation surveys. 62% (pre) and 59% (post) of participants thought that human health care contributed more to AMR than veterinarians.

Conclusion:
Insufficient knowledge on antimicrobial principles and appropriate AMU among veterinary students indicates that more educational efforts and clinical training should be focused on these topics. The practical use of AMS guidelines and veterinarians' responsibility for appropriate AMU should be emphasized. Clinical exposure alone does not sufficiently reinforce important antimicrobial concepts, implying that these topics need to be explicitly addressed in clinical instruction.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Title":"Miss","FirstName":"Ruinan","LastName":"Sun","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Sun R"},{"PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Title":"Dr.","FirstName":"Kevin","LastName":"Cummings","Position":"Associate Professor, Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Cummings K"},{"PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Title":"Dr.","FirstName":"Andrea","LastName":"Beukema","Position":"Director of Educational Design & Development","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Beukema A"},{"PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Title":"Dr.","FirstName":"Ariana L.","LastName":"Hinckley-Boltax","Position":"Assistant Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Hinckley-Boltax A"},{"PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Title":"Dr.","FirstName":"Jodi A.","LastName":"Korich","Position":"Associate Clinical Professor; Associate Dean for Education","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Korich J"},{"PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Title":"Ms.","FirstName":"Casey","LastName":"Cazer","Position":"Assistant Professor","Affiliations":"5","IsPresenting":true,"SortOrder":6,"DisplayName":"Cazer C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Number":1,"Affiliation":"Department Of Public And Ecosystem Health, Cornell University College Of Veterinary Medicine","City":"Ithaca","State":"NY","Country":"United States","AffiliationDisplay":"Department Of Public And Ecosystem Health, Cornell University College Of Veterinary Medicine, Ithaca NY, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Number":2,"Affiliation":"Educational Support Services, Cornell University College of Veterinary Medicine","City":"Ithaca","State":"NY","Country":"United States","AffiliationDisplay":"Educational Support Services, Cornell University College of Veterinary Medicine, Ithaca NY, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Number":3,"Affiliation":"Department of Comparative Pathobiology, Cummings School of Veterinary Medicine at Tufts University","City":"Grafton","State":"MA","Country":"United States","AffiliationDisplay":"Department of Comparative Pathobiology, Cummings School of Veterinary Medicine at Tufts University, Grafton MA, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Number":4,"Affiliation":"Department of Clinical Sciences, Cornell University College of Veterinary Medicine","City":"Ithaca","State":"NY","Country":"United States","AffiliationDisplay":"Department of Clinical Sciences, Cornell University College of Veterinary Medicine, Ithaca NY, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7f49b3b-ad5e-4408-96b5-24a83194e41a","Number":5,"Affiliation":"Department of Population Medicine & Diagnostic Sciences, Cornell University College of Veterinary Medicine","City":"Ithaca","State":"NY","Country":"United States","AffiliationDisplay":"Department of Population Medicine & Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca NY, United States"}],"AuthorsHtml":"Sun R1, Cummings K1, Beukema A2, Hinckley-Boltax A3, Korich J4, Cazer C5","AffiliationsHtml":"
1Department Of Public And Ecosystem Health, Cornell University College Of Veterinary Medicine, Ithaca NY, United States
2Educational Support Services, Cornell University College of Veterinary Medicine, Ithaca NY, United States
3Department of Comparative Pathobiology, Cummings School of Veterinary Medicine at Tufts University, Grafton MA, United States
4Department of Clinical Sciences, Cornell University College of Veterinary Medicine, Ithaca NY, United States
5Department of Population Medicine & Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca NY, United States
"},{"Title":"Risk factors for SARS-CoV-2 infection among university students in the northeastern USA","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c2f55ac8-98f3-4425-a787-955e6447d0eb","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"0981fe43-94cb-4e98-aa79-b0faeeff904e","Html":null,"PlainText":"Objective: The coronavirus disease 2019 (COVID-19) pandemic has resulted in over 407 million cases and 5.7 million deaths globally, as of February 2022. Mitigating disease spread requires a thorough understanding of risk factors for transmission of SARS-CoV-2, the etiologic agent of COVID-19. Institutions of higher education present unique challenges for controlling transmission because of features inherent to these settings. Our objective was to determine risk factors for SARS-CoV-2 infection among a university student population in the northeastern USA during the spring and fall 2021 semesters, using the case-control study design.
Materials and methods: Cases were defined as students with a newly diagnosed SARS-CoV-2 infection, detected either through the robust PCR-based surveillance testing program on campus or through healthcare testing if symptoms compatible with COVID-19 were present. Controls were defined as students with negative SARS-CoV-2 status, based on consistently negative PCR results at the time of selection. A comprehensive questionnaire was administered to each student enrolled in the study, covering a broad range of campus life activities.
Results: A total of 446 cases and 1,185 controls were included. Multivariable logistic regression analysis showed that recent party attendance (OR=2.3, p < 0.0001), recently visiting a bar (OR=1.6, p=0.007), living in a campus residence hall (OR=1.6, p=0.001), fraternity/sorority membership (OR=1.8, p=0.002), and recent travel (OR=1.3, p=0.04) were associated with being a COVID-19 case. Having an on-campus job was negatively associated with being a COVID-19 case (OR=0.6, p=0.0003). Among cases, the most commonly reported symptoms were cough (43.9%), fatigue (38.1%), and sore throat (30.3%).
Conclusion: These findings can be used to inform the development of COVID-19 mitigation strategies and public health outreach efforts in university settings, thus reducing SARS-CoV-2 transmission among students and helping to preserve the vital education and research missions of these institutions.
Keywords: Case-control study, COVID-19, public health, risk factors, SARS-CoV-2
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0981fe43-94cb-4e98-aa79-b0faeeff904e","Title":"Dr.","FirstName":"Kevin","LastName":"Cummings","Position":"Associate Professor, Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Cummings K"},{"PresentationId":"0981fe43-94cb-4e98-aa79-b0faeeff904e","Title":"Dr.","FirstName":"Alexander","LastName":"Travis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Travis A"},{"PresentationId":"0981fe43-94cb-4e98-aa79-b0faeeff904e","Title":"Dr.","FirstName":"Genevive","LastName":"Meredith","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Meredith G"},{"PresentationId":"0981fe43-94cb-4e98-aa79-b0faeeff904e","Title":"Dr.","FirstName":"Isaac","LastName":"Weisfuse","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Weisfuse I"},{"PresentationId":"0981fe43-94cb-4e98-aa79-b0faeeff904e","Title":"Ms.","FirstName":"Casey","LastName":"Cazer","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Cazer C"},{"PresentationId":"0981fe43-94cb-4e98-aa79-b0faeeff904e","Title":"Dr.","FirstName":"Lorin","LastName":"Warnick","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Warnick L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0981fe43-94cb-4e98-aa79-b0faeeff904e","Number":1,"Affiliation":"Cornell University College Of Veterinary Medicine","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Cornell University College Of Veterinary Medicine, Ithaca NY, USA"}],"AuthorsHtml":"Cummings K1, Travis A1, Meredith G1, Weisfuse I1, Cazer C1, Warnick L1","AffiliationsHtml":"
1Cornell University College Of Veterinary Medicine, Ithaca NY, USA
"}],"DisplayName":"Casey Cazer","TimeDisplay":null},{"ContactId":"ff48d28d-4574-400d-b314-a89acef1ea1d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Natalia","LastName":"Cernicchiaro","Position":null,"Organization":"Kansas State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Introduction and application of outcomes research in veterinary epidemiology.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"7ce40510-f269-41df-8c84-c960874bfd7d","Html":null,"PlainText":"Objective: Our objective is to introduce the discipline of outcomes research (OR) and its application to veterinary epidemiology. Through this conceptual analysis, we will translate OR principles and methodologies into the veterinary epidemiology field, discuss its applications, advantages and limitations, and make a case as to why integrating these concepts are advantageous as they aim to benefit veterinary epidemiology, medicine and society.

Materials and methods: There are many aspects of veterinary epidemiology and economics that could be considered under the heading of OR, but an intentional effort has yet to be made to harmonize the application of principles and methods into the veterinary field. Depending on the outcome of interest, different types of analyses can be performed within OR, including the assessment of follow-up care (risk-standardized survival rate analyses), cost-effectiveness analyses, quality of life analyses or mixture models/latent class analysis, among others.

Results: Outcomes research has been described as research concerned with the end results of public health interventions or services. Although developed and broadly applied in human health, its formal implementation for addressing animal health issues has been limited. With a goal of improving effectiveness and efficiency in animal health care and its associated impacts on human health, OR activities in veterinary medicine demonstrate the value of animal health interventions. Value is commonly determined by cost savings; however, non-monetary elements of value, such as ease of treatment administration, improved quality of life, and/or reduced labor can also be incorporated. Elements of value are determined by stakeholders’ perceptions and use of products or services that meet or exceed functional, emotional, life-changing, and/or societal needs.

Conclusion: By providing a comparative approach of the application of OR, we aim to relate and leverage similarities and differences across topics and species when applying OR methods to enhance veterinary epidemiology.
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1Center for Outcomes Research and Epidemiology, Kansas State University, Manhattan KS, USA
2International Livestock Research Institute , Addis Ababa Oromia, Ethiopia
"}],"DisplayName":"Natalia Cernicchiaro","TimeDisplay":null},{"ContactId":"dcfea971-c89c-4815-b8ee-dce34107fa4b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Shovon","LastName":"Chakma","Position":"Phd Candidate","Organization":"The University of Queensland","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b56f17ef23534c4cac7bdd9b60f0aab0","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/chakmashovon","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/chakmashovon","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/chakmashovon","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/chakmashovon","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Role of poultry trade network on the avian influenza A viruses environmental contamination patterns at live bird markets, Dhaka, Bangladesh","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0452588c-faa1-4af5-a9d2-701e45c3c7d3","Html":null,"PlainText":"Background: An increased probability of environmental contamination with avian influenza A viruses at live bird markets (LBMs) of Dhaka’s metropolitan presumably linked to the network of poultry movements in Bangladesh.

Objective(s): This study aimed to characterize the Dhaka metropolitan area’s LBM poultry trade network by the source of poultry purchase and quantify the association between the selected market characteristics and year-long avian influenza A viruses (H5 and H9) environmental contamination patterns at the LBMs of Dhaka metropolitan, Bangladesh.

Materials and Methods: We screened the market-level source of poultry purchase data of 108 Dhaka metropolitan area LBMs (collected in Jan-Mar 2016) and summarized the characteristics of the market trade network, such as degree centrality, closeness centrality and betweenness centrality, k-core. We performed univariable multinomial logistic regression to quantify the association between the selected market characteristics and the year-round (Jan-Dec 2016) market level avian influenza A(H5 and H9) environmental contamination patterns.

Results: The poultry trade networks (market-market, market-district, district-district) of Dhaka metropolitan area LBMs are highly connected within Dhaka and widely connected across the country (Figure 1 and 2). The LBM-level avian influenza A(H5) and A(H9) environmental contamination patterns were associated with risk factors such as market type, market location, season, and several estimates of LBM network connectivity.

Conclusion: This study showed the need for routine evaluation of LBM-based avian influenza surveillance by the market-level source of poultry purchase network data to improve avian influenza A viruses detection system for humans and animals population, and contamination in the environment.

Keywords: network analysis, live bird market, avian influenza, environmental contamination, Bangladesh
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1UQ Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Gatton Queensland, Australia
2Department of Livestock Services, Dhaka Dhaka, Bangladesh
3National Reference Laboratory for Avian Influenza, Animal Health Research Division, Bangladesh Livestock Research Institute, Savar Dhaka, Bangladesh
4Emergency Centre for Transboundary Animal Diseases, Food and Agriculture Organization of the United Nations, Dhaka Dhaka, Bangladesh
"},{"Title":"Detection of risk areas and factors associated with the avian influenza H5 environmental contamination at live bird markets in Dhaka metropolitan local government areas, Bangladesh","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"41b67f87-b54a-4d23-b22d-cad57cded430","Html":null,"PlainText":"Background: Avian influenza (AI) H5 virus persistence at the live bird markets (LBMs) environment is primarily related to poor market-level biosecurity practices in Bangladesh.

Objective(s): This study aimed to characterize the differences in the proportion of AI(H5) environmental contamination in markets of two local government areas of Dhaka metropolitan, to quantify factors associated with the probability of market-level AI(H5) environmental contamination risk and work-zone specific (arrival, slaughtering and processing, and sales) contamination patterns.

Materials and Methods: We investigated 104 LBMs of Dhaka during January-March 2016 by univariable Fishers exact test to identify the significance differences by location of Dhaka markets. Furthermore, we ran bernoulli generalized linear models and multinomial logistic regression models to quantify factors associated with the probability of market-level AI(H5) environmental contamination and work-zone specific environmental contamination patterns, respectively.

Results: LBMs located in Dhaka North City Corporation are more vulnerable to AI(H5) environmental contamination than Dhaka South City Corporation markets. The probability of AI(H5) environmental contamination is equally likely in all market work zones investigated (Figure 1). Results showed higher environmental contamination in LBMs that have both wholesaler and retailer compared with retailer-only markets and in March compared with January.

Conclusion: The findings provide policy-relevant insights into AI(H5) environmental contamination risk areas in Dhaka metropolitan, which would be appropriate in designing a market-level biosecurity intervention to minimize the human H5 infection risk linked with LBMs.

Keywords: avian influenza, environmental contamination, live bird market, Bangladesh
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1UQ Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Gatton Queensland, Australia
2Emergency Centre for Transboundary Animal Diseases (ECTAD), Food and Agriculture Organization of the United Nations, Dhaka Dhaka, Bangladesh
3Department of Livestock Services, Dhaka Dhaka, Bangladesh
4National Reference Laboratory for Avian Influenza, Animal Health Research Division, Bangladesh Livestock Research Institute, Savar Dhaka, Bangladesh
"}],"DisplayName":"Shovon Chakma","TimeDisplay":null},{"ContactId":"c7ad0357-0dd0-40d9-8ef1-658afcb7fc32","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"You","LastName":"Chang","Position":"Phd Candidate","Organization":"Wageningen University Dierwetenschappen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Inferring Bovine Tuberculosis Transmission Between Cattle and Badger via Environment from the Kilkenny Trial and Generating R Map ","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4e5cd494-6a1f-428a-a808-82490600e2ae","Html":null,"PlainText":"Bovine tuberculosis (bTB), caused by Mycobacterium bovis, is one of the most complicated and persistent issues in the Irish cattle industry despite a comprehensive control/eradication programme. The European badger plays an important role in maintaining bTB transmission. However, the quantitative roles of cattle and badgers in the transmission are unclear and vary spatially. Moreover, these two species rarely have direct contact between them, which indicates the importance of environmental transmission. Therefore, we aim to understand better bTB transmission between cattle and badgers via the environment in a spatially explicit context and to identify high-risk areas.
We developed an environmental transmission model that incorporates both within-herd/sett transmission and between-species transmission, with the latter facilitated by badger territories connecting herds. Model parameters such as transmission rate and the decay rate parameters were estimated by maximum likelihood estimation, using the infection data from badger and cattle. Our estimation showed that the environment can play an important role in the transmission of bTB, with an estimated decay rate of 0.0038 per day (0.0034, 0.0045), i.e. on average 263 days survival. Based on the estimated transmission rate parameters, we generated a first basic reproduction ratio (R) map for each small local area using Next Generation Matrix. Our results suggest that badger-to-cattle transmission is larger than cattle-to-cattle transmission, due to a shorter average infectious period of cattle, caused by the test-and-removal intervention. The badger-to-badger and cattle-to-badger transmission in each herd area depend on the badger density on the farm. The R map identifies hotspots and provides insights on the quantitative role of each host in the spread of bTB in a spatially explicit context. In addition, this R map can also be used to inform local intervention strategies, such as estimating the minimum vaccination coverage required to bring R below 1 in a high-risk area.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4e5cd494-6a1f-428a-a808-82490600e2ae","Title":"Mrs.","FirstName":"You","LastName":"Chang","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Chang Y"},{"PresentationId":"4e5cd494-6a1f-428a-a808-82490600e2ae","Title":"Ms","FirstName":"Nienke","LastName":"Hartemink","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Hartemink N"},{"PresentationId":"4e5cd494-6a1f-428a-a808-82490600e2ae","Title":"Mr","FirstName":"Mart C.M.","LastName":"de Jong","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"de Jong M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4e5cd494-6a1f-428a-a808-82490600e2ae","Number":1,"Affiliation":"Quantitative Veterinary Epidemiology group,Wageningen University and Research","City":"Wageningen","State":null,"Country":"Netherlands","AffiliationDisplay":"Quantitative Veterinary Epidemiology group,Wageningen University and Research, Wageningen, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4e5cd494-6a1f-428a-a808-82490600e2ae","Number":2,"Affiliation":"Biometris, Wageningen University and Research","City":"Wageningen","State":null,"Country":"Netherlands","AffiliationDisplay":"Biometris, Wageningen University and Research, Wageningen, Netherlands"}],"AuthorsHtml":"Chang Y1, Hartemink N2, de Jong M1","AffiliationsHtml":"
1Quantitative Veterinary Epidemiology group,Wageningen University and Research, Wageningen, Netherlands
2Biometris, Wageningen University and Research, Wageningen, Netherlands
"}],"DisplayName":"You Chang","TimeDisplay":null},{"ContactId":"38f07e4d-476c-44f8-b56d-8396194f1a32","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Thitiwich","LastName":"Changtes","Position":"Phd Student","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5069593ee8c04efdaf0ccfa6d83ced79","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Cost-Efficiency of Hormone Treatment Protocols in Anestrus Holstein Dairy Cows in Thailand","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Html":null,"PlainText":"Introduction: Postpartum anestrus is one of the most common reproductive problems in dairy cows in tropical countries. Various hormone treatment protocols could be used to correct this problem; however, the decision of which one to select estrous synchronization protocol may partly depend on the economics.
Objectives: The study aimed to compare the cost-efficiency of two types of hormone protocols - fixed-time AI (TAI) and estrus detection before AI (EAI) - among cyclic and non-cyclic dairy cows.
Methods: Clinical records of dairy cows that previously received hormone treatments, were retrieved from the Herd Health and Production Service database at Kasetsart University Veterinary Teaching Hospital, Nong Pho. Cows were categorized based on corpus luteum (CL) present before hormone treatment as follows; cyclic cows (cows with CL) and non-cyclic cows (cows with no CL). Proportion of pregnant cows and pregnancy per AI after hormone therapy were computed. Total cost per cow and cost per pregnancy (i.e., total cost per cow/proportion of pregnant cows) were calculated. These outcomes were compared between the two types of hormone protocols separately for cyclic and non-cyclic cows.
Results: The proportion of pregnant cows for TAI protocol was higher than EAI protocol, but the pregnancy per AI did not differ between the two protocols in cyclic and non-cyclic cows. The total cost for TAI protocol was higher than EAI protocol in cyclic and non-cyclic cows; however, the cost per pregnancy for TAI protocol was lower than EAI protocol in non-cyclic cows.
Conclusion: Although there was a higher proportion of pregnant cows following TAI, the total cost was higher than EAI. Despite the higher cost, TAI is a more cost-effective option to induce pregnancy in non-cyclic cows.

Keywords: cost-efficiency, hormone treatment, anestrus, dairy cow, tropical area ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Title":"Mr.","FirstName":"Thitiwich","LastName":"Changtes","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Changtes T"},{"PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Title":"Dr.","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Sanchez J"},{"PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Title":"Dr.","FirstName":"Pipat","LastName":"Arunvipas","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Arunvipas P"},{"PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Title":"Dr.","FirstName":"Thitiwan","LastName":"Patanasatienkul","Position":"Veterinary Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Patanasatienkul T"},{"PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Title":"Dr","FirstName":"Luke","LastName":"Heider","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Heider L"},{"PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Title":"Dr","FirstName":"Theera","LastName":"Rukkwamsuk","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Rukkwamsuk T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Number":1,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University Of Prince Edwards Island","City":"Charlottetown","State":" Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University Of Prince Edwards Island, Charlottetown Prince Edward Island, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Number":2,"Affiliation":"Department of Large Animal and Wildlife Clinical Sciences, Faculty of Veterinary Medicine, Kasetsart University","City":"Kamphaeng Saen","State":"Nakhon Pathom","Country":"Thailand","AffiliationDisplay":"Department of Large Animal and Wildlife Clinical Sciences, Faculty of Veterinary Medicine, Kasetsart University, Kamphaeng Saen Nakhon Pathom, Thailand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d00dd42b-e3b8-4b79-bdf2-32ff7446517e","Number":3,"Affiliation":"Department of Agriculture and Land, Government of PEI","City":"Charlottetown","State":" Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Agriculture and Land, Government of PEI, Charlottetown Prince Edward Island, Canada"}],"AuthorsHtml":"Changtes T1, Sanchez J1, Arunvipas P2, Patanasatienkul T3, Heider L1, Rukkwamsuk T2","AffiliationsHtml":"
1Department of Health Management, Atlantic Veterinary College, University Of Prince Edwards Island, Charlottetown Prince Edward Island, Canada
2Department of Large Animal and Wildlife Clinical Sciences, Faculty of Veterinary Medicine, Kasetsart University, Kamphaeng Saen Nakhon Pathom, Thailand
3Department of Agriculture and Land, Government of PEI, Charlottetown Prince Edward Island, Canada
"}],"DisplayName":"Thitiwich Changtes","TimeDisplay":null},{"ContactId":"d943f962-a257-42b2-9301-4c67bb72db15","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ilias","LastName":"Chantziaras","Position":"Professor","Organization":"Ghent University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Using the European State-of-the-Art to acquire a participatory assessment of strategies and technologies to reduce antibiotic use ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"26d7096e-da0d-4d6e-b855-74ce32a2ffb5","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"849af05d-e260-4813-8b28-c87c19073a37","Html":null,"PlainText":"Objectives: The Horizon2020-funded network DISARM developed a baseline assessment of state-of-the-art strategies and technologies to reduce antimicrobial use (AMU) and improve animal health on farms, including strategies developed by farmers, industry and researchers. A library of open access information sources has been developed, which can be used by all stakeholders to access information on strategies to reduce AMU and subsequently antimicrobial resistance (AMR)

Materials and methods: A protocol was developed for the state-of-the-art. An easily accessible online file was created to collect and organize the material. To structure the material, 10 primary categories were formed (Biosecurity, Pathogen management, Water management, Feed / Gut health, Precision livestock farming, Breeding, Specific alternatives, AMU reduction strategies, Prudent use of antibiotics). These categories were further sub-divided to enable the possibility of a detailed search. Per entry, a species and country indication was provided. To indicate the level of innovation and evidence per entry, an expert judgement was performed. All partners in the DISARM consortium were asked to search for relevant material, deriving preferably from their own country and regarding species and housing systems relevant to the project.

Results: 522 records entries were collected by the consortium partners. Of these, 511 records were left after internal quality checks. The database includes 340 research papers and reports, 46 farm innovations, 82 tools/checklists and 43 industry innovations. The top three categories regarding number of entries are AMU reduction strategies (107 records), prudent use (71), pathogen management (61), biosecurity (55), and feed and gut health (46).

Conclusions: This assessment of strategies and technologies to reduce AMU resulted in an online, open access database. This provides the European state-of-the-art and its biggest accomplishment is that it was compiled by a European multidisciplinary team representing a range of fields of expertise and parts of the production chain and animal husbandry.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"849af05d-e260-4813-8b28-c87c19073a37","Title":"Dr.","FirstName":"Ilias","LastName":"Chantziaras","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Chantziaras I"},{"PresentationId":"849af05d-e260-4813-8b28-c87c19073a37","Title":"Dr.","FirstName":"Lisa","LastName":"Morgans","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Morgans L"},{"PresentationId":"849af05d-e260-4813-8b28-c87c19073a37","Title":"Dr. ","FirstName":"Helena","LastName":"Ferrreira","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Ferrreira H"},{"PresentationId":"849af05d-e260-4813-8b28-c87c19073a37","Title":"Dr. ","FirstName":"Marc","LastName":"Bracke","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Bracke M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"849af05d-e260-4813-8b28-c87c19073a37","Number":1,"Affiliation":"Ghent University","City":"Ghent","State":"East Flanders","Country":"Belgium","AffiliationDisplay":"Ghent University, Ghent East Flanders, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"849af05d-e260-4813-8b28-c87c19073a37","Number":2,"Affiliation":"Innovation for Agriculture ","City":"Warwickshire","State":"England","Country":"United Kingdom","AffiliationDisplay":"Innovation for Agriculture , Warwickshire England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"849af05d-e260-4813-8b28-c87c19073a37","Number":3,"Affiliation":"Flanders Research Institute for Food and Agriculture ","City":"Merelbeke","State":"East Flanders","Country":"Belgium","AffiliationDisplay":"Flanders Research Institute for Food and Agriculture , Merelbeke East Flanders, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"849af05d-e260-4813-8b28-c87c19073a37","Number":4,"Affiliation":"Wageningen Livestock Research ","City":"Wageningen","State":"Gelderland","Country":"the Netherlands","AffiliationDisplay":"Wageningen Livestock Research , Wageningen Gelderland, the Netherlands"}],"AuthorsHtml":"Chantziaras I1, Morgans L2, Ferrreira H3, Bracke M4","AffiliationsHtml":"
1Ghent University, Ghent East Flanders, Belgium
2Innovation for Agriculture , Warwickshire England, United Kingdom
3Flanders Research Institute for Food and Agriculture , Merelbeke East Flanders, Belgium
4Wageningen Livestock Research , Wageningen Gelderland, the Netherlands
"}],"DisplayName":"Ilias Chantziaras","TimeDisplay":null},{"ContactId":"09b0f2f3-1df6-46fb-b492-ed9d296aea58","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gemma","LastName":"Chaters","Position":"Analyst","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0698890284a84ad5bf5af4355525ba49","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"An evaluation of the influence of livestock movements into villages and households on the transmission and persistence of infectious diseases in northern Tanzania","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Html":null,"PlainText":"
Objectives
In northern Tanzania, livestock are a main source of income, social status and nutritional security, especially for those living in impoverished communities. High livestock dependence is accompanied by a high burden of infectious production-limiting and zoonotic pathogens circulating within livestock populations, and poor access to veterinary services. Livestock movements, widely recognised as providing routes for pathogen transmission between populations, occur for many different reasons in Tanzania (e.g. as gifts, sales, to access resources) and are not centrally recorded or digitised. This work evaluates how livestock movements contribute to epidemiological connectivity and disease risk in northern Tanzania.

Materials and methods
Livestock serology (N=8,681) and household survey data (N=404) were collected from 47 sub-villages. Survey data were used to construct an inter-household movement network. Generalised linear mixed-effect regression models were used to evaluate if sub-village centrality metrics (indegree and betweenness) and household livestock introductions are risk factors for exposure to production-limiting and zoonotic pathogens.

Results
Interhousehold livestock movements (N=816, range=0.4–294km) connected 147 locations across northern Tanzania, including previously undocumented movements across the international border with Kenya. Household introductions were associated with increased odds of exposure to Bovine Viral Diarrhoea Virus (BVDV) in all households and Brucella spp. in agropastoral cattle. High sub-village betweeness was associated with BVDV exposure across all agro-ecological systems and increasing in-degree was associated with increased odds of exposure to Leptospira serovar Hardjo in smallholder sub-villages.

Conclusions
Livestock introductions create important pathogen transmission routes, however associations between seroprevalence and household or sub-village introductions differ for pathogens of varying transmissibility between different agroecological production systems and species. Other risk factors such as population and vector density and co-grazing, also influence pathogen maintenance and propagation, and these vary between production systems.

Key words: Tanzania, livestock movements, network analysis, zoonoses, disease
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Title":"Dr.","FirstName":"Gemma","LastName":"Chaters","Position":"Analyst","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Chaters G"},{"PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Title":"Dr","FirstName":"Paul","LastName":"Johnson","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Johnson P"},{"PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Title":"Mr.","FirstName":"Rowland","LastName":"Kao","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Kao R"},{"PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Title":"Dr","FirstName":"William","LastName":"de Glanville","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"de Glanville W"},{"PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Title":"Dr","FirstName":"Tito","LastName":"Kibona","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Kibona T"},{"PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Title":"Professor","FirstName":"Emanual","LastName":"Swai","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":6,"DisplayName":"Swai E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Number":1,"Affiliation":"University Of Liverpool","City":"Kendal","State":"Cumbria","Country":"United Kingdom","AffiliationDisplay":"University Of Liverpool, Kendal Cumbria, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Number":2,"Affiliation":"Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine,","City":"University of Glasgow","State":"Glasgow","Country":"UK","AffiliationDisplay":"Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine,, University of Glasgow Glasgow, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Number":3,"Affiliation":"Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh","City":"Easter Bush Campus,","State":null,"Country":"UK","AffiliationDisplay":"Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus,, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Number":4,"Affiliation":"Nelson Mandela African Institution of Science and Technology","City":null,"State":"Tengeru","Country":"Tanzania","AffiliationDisplay":"Nelson Mandela African Institution of Science and Technology, Tengeru, Tanzania"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ba2ba45-8f0e-4139-b462-a679daeb1753","Number":5,"Affiliation":"Ministry of Livestock and Fisheries","City":null,"State":"Dodoma","Country":"Tanzania","AffiliationDisplay":"Ministry of Livestock and Fisheries, Dodoma, Tanzania"}],"AuthorsHtml":"Chaters G1,2, Johnson P2, Kao R3, de Glanville W2, Kibona T4, Swai E5","AffiliationsHtml":"
1University Of Liverpool, Kendal Cumbria, United Kingdom
2Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine,, University of Glasgow Glasgow, UK
3Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus,, UK
4Nelson Mandela African Institution of Science and Technology, Tengeru, Tanzania
5Ministry of Livestock and Fisheries, Dodoma, Tanzania
"},{"Title":"Epidemiological connectivity in Tanzania through market livestock movements – where, why and how?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0d26653-f709-407c-9650-59c5bc9c5f5e","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.C - Network Analysis","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Html":null,"PlainText":"Objectives
Livestock markets and value-chains drive livestock movements globally, and are strongly associated with pathogen transmission between populations. This work addresses detailed questions around market movements in Tanzania, evaluating if market data can guide disease surveillance and control programmes in the region.

Materials and methods
Survey data describing distance, duration, mixing, transport, price and reason for sale or purchase of livestock were collected from buyers (N=216) and sellers (N=507) at 22 markets across northern Tanzania. Gaussian and binomial generalised linear mixed models were used to describe cattle and small ruminant markets journeys, and network analyses was used to identify high-risk locations for targeted pathogen surveillance.

Results
Livestock market journeys are up to 500km with cattle moving into northern Tanzania from the south-west and small ruminants moving northwards into Kenya. Journeys are predominantly made on foot, with livestock more likely to contact local livestock en-route. Livestock moved using vehicles are more likely to be grouped with others to share journey costs and reduce duration, but this increases the risk of pathogen transmission between groups. The majority of market sales are to meet household needs (86%), with the most common destination ‘another market’. Cattle sold in secondary markets, close to consumption centres, are more likely to be sold by traders, fetch higher prices and be taken to slaughter.

Conclusion
There is disparity in market access in Tanzania and trade-movements of livestock along the value-chain create epidemiological connectivity, including across the Kenyan border. Market data can be used to identify high-risk locations where targeted pathogen surveillance programmes could be implemented but this work shows a regional approach to livestock disease control is needed due to the frequency of long distance movements between regions.

Key works: Market; Livestock; Network; Transmission; Tanzania
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Title":"Dr.","FirstName":"Gemma","LastName":"Chaters","Position":null,"Affiliations":"1,5","IsPresenting":true,"SortOrder":1,"DisplayName":"Chaters G"},{"PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Title":"Professor","FirstName":"Emanual","LastName":"Swai","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Swai E"},{"PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Title":"Dr","FirstName":"Obed","LastName":"Nyasebwa","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Nyasebwa O"},{"PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Title":"Professor","FirstName":"Rowland","LastName":"Kao","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Kao R"},{"PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Title":"Professor","FirstName":"Sarah","LastName":"Cleaveland","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Cleaveland S"},{"PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Title":"Dr","FirstName":"Paul","LastName":"Johnson","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":6,"DisplayName":"Johnson P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Number":1,"Affiliation":"University Of Liverpool","City":"Kendal","State":"Cumbria","Country":"United Kingdom","AffiliationDisplay":"University Of Liverpool, Kendal Cumbria, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Number":2,"Affiliation":"Ministry of Livestock and Fisheries Development","City":null,"State":"Dodoma","Country":"Tanzania","AffiliationDisplay":"Ministry of Livestock and Fisheries Development, Dodoma, Tanzania"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Number":3,"Affiliation":"Department of Veterinary Services, Ministry of Livestock and Fisheries","City":"Nelson Mandela Road","State":"Dar Es Salaam","Country":"Tanzania","AffiliationDisplay":"Department of Veterinary Services, Ministry of Livestock and Fisheries, Nelson Mandela Road Dar Es Salaam, Tanzania"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Number":4,"Affiliation":"Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh","City":"Easter Bush Campus","State":"Edinburgh","Country":"UK","AffiliationDisplay":"Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus Edinburgh, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"868c0232-6e0c-45ab-a638-a003f15f2976","Number":5,"Affiliation":"Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow","City":null,"State":"Glasgow","Country":"UK","AffiliationDisplay":"Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK"}],"AuthorsHtml":"Chaters G1,5, Swai E2, Nyasebwa O3, Kao R4, Cleaveland S5, Johnson P5","AffiliationsHtml":"
1University Of Liverpool, Kendal Cumbria, United Kingdom
2Ministry of Livestock and Fisheries Development, Dodoma, Tanzania
3Department of Veterinary Services, Ministry of Livestock and Fisheries, Nelson Mandela Road Dar Es Salaam, Tanzania
4Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Easter Bush Campus Edinburgh, UK
5Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK
"},{"Title":"The Animal Health Loss Envelope - quantifying disease burden in diverse livestock systems","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"badce9a0-efc2-47a3-8f5b-c754a5e0aa79","Html":null,"PlainText":"The efficiency of livestock systems is compromised by communicable and non-communicable disease, accidents, injuries, predation, drought and malnutrition. The Global Burden of Animal Diseases programme (GBADs) recognises the economic purpose that livestock fulfil and quantifies the burden of these hazards at farm level in financial terms in the first instance by means of an animal health loss envelope (AHLE). The defining characteristics of this envelope are intended to exclude productivity change arising from non-health effects such as genetic and technological variation, and assess system productivity against an ideal free from morbidity and mortality. In such a manner, all causes of both morbidity and mortality theoretically can be attributed within this envelope with no risk of double counting. This short communication discusses the economic basis for setting the boundaries of the envelope, the progress made within the GBADs programme toward operationalising the AHLE concept and the plans for its further development in terms of data availability and analytical methods.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"badce9a0-efc2-47a3-8f5b-c754a5e0aa79","Title":"Dr","FirstName":"William","LastName":"Gilbert","Position":"Postdoctoral Research Associate","Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Gilbert W"},{"PresentationId":"badce9a0-efc2-47a3-8f5b-c754a5e0aa79","Title":"Dr.","FirstName":"Gemma","LastName":"Chaters","Position":"Analyst","Affiliations":"1,2","IsPresenting":true,"SortOrder":2,"DisplayName":"Chaters G"},{"PresentationId":"badce9a0-efc2-47a3-8f5b-c754a5e0aa79","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Rushton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"badce9a0-efc2-47a3-8f5b-c754a5e0aa79","Number":1,"Affiliation":"Global Burden of Animal Diseases programme","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases programme"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"badce9a0-efc2-47a3-8f5b-c754a5e0aa79","Number":2,"Affiliation":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom"}],"AuthorsHtml":"Gilbert W1,2, Chaters G1,2, Rushton J1,2","AffiliationsHtml":"
1Global Burden of Animal Diseases programme
2Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
"}],"DisplayName":"Gemma Chaters","TimeDisplay":null},{"ContactId":"970e4504-24c7-4365-83b3-9556edd404e3","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ting-Yu","LastName":"Cheng","Position":"Postdoc","Organization":"The Ohio State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Basic human values of Canadian and U.S. dairy producers","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Html":null,"PlainText":"OBJECTIVE: A cross-sectional study was conducted to characterize and identify clusters of Canadian and U.S. dairy farmers based on ten basic human values.

METHODS: Dairy producers in Ontario (n≈3,300) and provinces in Atlantic Canada (n≈550), were systematically invited by email. U.S. dairy producers (n=1,000) in five states (Florida, Michigan, Ohio, Vermont, and Wisconsin) were selected using stratified random sampling. A survey including 20-item portrait value questionnaire evaluating Schwartz’s 10 human basic values (conformity, tradition, benevolence, universalism, self-direction, stimulation, hedonism, achievement, power, and security), was delivered. Producers’ relatability to each portrait was ranked by a 6-point scale (1-6). The score of each value was the mean rank of the two corresponding portraits. Canadian and U.S. producers were separately grouped into two clusters based on value scores using clustering analysis. Country-wise and cluster-wise comparisons in value scores were performed using the Wilcoxon rank-sum test.

RESULTS: By July 2021, 296 surveys were returned by selected Canadian producers (7.5%) and 315 usable responses (33.1%) from U.S. producers by May 2021. Canadian producers indicated more desire (p < 0.05) to enjoy life (hedonism, 3.84 vs 3.44), motivation towards success (achievement, 3.75 vs 3.41), and to be in charge (power, 3.65 vs 3.16), whereas U.S. producers more (p < 0.05) obedient (conformity, 4.13 vs 4.73), traditional (tradition, 3.13 vs 3.99), helpful (benevolence, 4.60 vs 5.01), egalitarian (universalism, 3.99 vs 4.45), and valued social security and stability (security, 4.16 vs 4.40). Producers valued stimulation, self-direction, and hedonism were grouped in both countries.

CONCLUSIONS: Difference in priorities of basic values was identified between Canadian and U.S. dairy producers. A group with more curiosity in new things and willingness to take risks was identified in both countries, suggesting these qualities can inform the design or implementation of best practices, future policies, and research programs.

KEYWORDS: human values; dairy producers","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Title":"Mr.","FirstName":"Ting-Yu","LastName":"Cheng","Position":"Postdoc","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cheng T"},{"PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Title":"Dr.","FirstName":"Cecilia","LastName":"Brooks","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Brooks C"},{"PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Title":"Mrs.","FirstName":"Claudia","LastName":"Cobo-Angel","Position":"Post-doctoral Fellow","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Cobo-Angel C"},{"PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Title":null,"FirstName":"Stephen J","LastName":"LeBlanc","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"LeBlanc S"},{"PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Title":"Dr.","FirstName":"David","LastName":"Renaud","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Renaud D"},{"PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Title":"Dr.","FirstName":"Gregory","LastName":"Habing","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Habing G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Number":1,"Affiliation":"Department of Preventive Veterinary Medicine, College of Veterinary Medicine, the Ohio State University","City":"Columbus","State":"OH","Country":"USA","AffiliationDisplay":"Department of Preventive Veterinary Medicine, College of Veterinary Medicine, the Ohio State University, Columbus OH, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Number":2,"Affiliation":"Department of Animal Sciences, College of Food, Agricultural, and Environmental Sciences, the Ohio State University","City":"Columbus","State":"OH","Country":"USA","AffiliationDisplay":"Department of Animal Sciences, College of Food, Agricultural, and Environmental Sciences, the Ohio State University, Columbus OH, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Number":3,"Affiliation":"Department of Psychology and Family Science, College of Arts and Sciences, Mississippi University of Women","City":null,"State":"MS","Country":"USA","AffiliationDisplay":"Department of Psychology and Family Science, College of Arts and Sciences, Mississippi University of Women, MS, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Number":4,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0ed94ba1-98df-43cf-ac62-8cbf5a7050ea","Number":5,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island","City":null,"State":"Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Prince Edward Island, Canada"}],"AuthorsHtml":"Cheng T1, Brooks C3, Cobo-Angel C4, LeBlanc S4, Renaud D2, Habing G1","AffiliationsHtml":"
1Department of Preventive Veterinary Medicine, College of Veterinary Medicine, the Ohio State University, Columbus OH, USA
2Department of Animal Sciences, College of Food, Agricultural, and Environmental Sciences, the Ohio State University, Columbus OH, USA
3Department of Psychology and Family Science, College of Arts and Sciences, Mississippi University of Women, MS, USA
4Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada
5Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Prince Edward Island, Canada
"},{"Title":"Comparison of early-life care between male and female calves on U.S. dairy farms accounting for producers’ attitudes toward male calf care","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Html":null,"PlainText":"OBJECTIVE: This cross-sectional study aimed to investigate differences in early-life care of male and female calves on dairy farms in five U.S. states, and their relationships with dairy producers’ attitudes.

METHODS: U.S. dairy producers (n = 1,000) in Florida, Michigan, Ohio, Vermont, and Wisconsin were stratified by states and randomly selected in each stratum. A survey targeting farm demographics and on-farm calf care was delivered in February 2021. Early-life calf care was evaluated by the management of colostrum quality, quantity, and timing of delivery of the first colostrum feeding after birth, and compared between male and female calves using non-parametric Wilcoxon rank-sum test. Producers’ attitudes on male calf care were measured by their agreements with nine statements, and grouped by factor analysis. The association between differences in early on-farm care and producers’ attitude factors was investigated using multivariable logistic regression models.

RESULTS: By May 2021, 953 surveys were delivered and 315 returned with acceptable responses (33.1%). Comparing male and female calves, 16.1% and 15.6% of producers reported using different sources and delivery methods of colostrum in the first feeding, respectively (p = 0.28; 0.49). Less volume (p = 0.02) and longer delay to the first colostrum feeding (p = 0.001) were identified in male calves in 13 (5.14%) and 21 farms (8.57%), respectively. Producers with higher cost consciousness regarding male calf care were more likely (p < 0.05) to treat male and female calves differently regarding source (odds ratio [OR] = 1.25), delivery method (OR = 1.20), and timeliness of the first colostrum feeding (OR = 1.33).

CONCLUSIONS: Male calves received less optimal early-life care than females on U.S. dairy farms, which was associated with the producers’ cost consciousness in providing calf care. This association may be used to design interventions to improve calf welfare.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Title":"Mr.","FirstName":"Ting-Yu","LastName":"Cheng","Position":"Postdoc","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cheng T"},{"PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Title":"Dr.","FirstName":"Cecilia","LastName":"Brooks","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Brooks C"},{"PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Title":"Dr.","FirstName":"David","LastName":"Renaud","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Renaud D"},{"PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Title":"Dr.","FirstName":"Kathryn","LastName":"Proudfoot","Position":"Professor","Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Proudfoot K"},{"PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Title":"Dr.","FirstName":"Jessica","LastName":"Pempek","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Pempek J"},{"PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Title":"Dr.","FirstName":"Gregory","LastName":"Habing","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Habing G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Number":1,"Affiliation":"Department of Preventive Veterinary Medicine, College of Veterinary Medicine, the Ohio State University","City":"Columbus","State":"OH","Country":"USA","AffiliationDisplay":"Department of Preventive Veterinary Medicine, College of Veterinary Medicine, the Ohio State University, Columbus OH, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Number":2,"Affiliation":"Department of Animal Sciences, College of Food, Agricultural, and Environmental Sciences, the Ohio State University","City":"Columbus","State":"OH","Country":"USA","AffiliationDisplay":"Department of Animal Sciences, College of Food, Agricultural, and Environmental Sciences, the Ohio State University, Columbus OH, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Number":3,"Affiliation":"Department of Psychology and Family Science, College of Arts and Sciences, Mississippi University of Women","City":null,"State":"MS","Country":"USA","AffiliationDisplay":"Department of Psychology and Family Science, College of Arts and Sciences, Mississippi University of Women, MS, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Number":4,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":null,"State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1a4e0fc6-0c5f-420a-a4d9-53a3ca607482","Number":5,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island","City":null,"State":"Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Prince Edward Island, Canada"}],"AuthorsHtml":"Cheng T1, Brooks C3, Renaud D4, Proudfoot K5, Pempek J2, Habing G1","AffiliationsHtml":"
1Department of Preventive Veterinary Medicine, College of Veterinary Medicine, the Ohio State University, Columbus OH, USA
2Department of Animal Sciences, College of Food, Agricultural, and Environmental Sciences, the Ohio State University, Columbus OH, USA
3Department of Psychology and Family Science, College of Arts and Sciences, Mississippi University of Women, MS, USA
4Department of Population Medicine, Ontario Veterinary College, University of Guelph, Ontario, Canada
5Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Prince Edward Island, Canada
"},{"Title":"Non-recoverability and time to cessation of movement in swine using water-based foam for depopulation purposes","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fd4427d9-f8ef-4590-a58b-25f75a26cfc4","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"f96b9771-fb6c-44dd-a762-ec56c2a745e9","Html":null,"PlainText":"Most recommended swine depopulation methods from AVMA guidelines are difficult to implement to large populations. Water-based foam (WBF) is a preferred method for poultry, but not recommended for swine. Our objective was to explore medium-expansion WBF as a depopulation method for swine by describing, 1) time to unconsciousness in nursery pigs (trial 1); and 2) time to cessation of movement (COM) in sows (trial 2).
Trial 1: Seventy-two nursery pigs were divided into 12 replicates of 6. Each pig was attached to a color-coded rope corresponding to 6 timepoints in increments of 2.5min up to 15min. Pigs were moved into a 1.46m³ container, submerged by WBF, and sequentially removed and assessed for signs of consciousness including gasping, corneal reflex, and rhythmic breathing. A secondary euthanasia method was applied when necessary. Trial 2: Seventy-five sows were divided into 3 replicates and loaded into a modified rendering trailer and submerged with WBF. In each replicate, 6 sows were fitted with a subcutaneous activity logger (Star-Oddi, Gardabaer, Iceland). COM was defined using an individualized activity threshold based on the upper quartile and the interquartile range (Q3 + 1.5 × IQR). Effects of day, trial, and time of day on COM were investigated using Logrank tests.
Container fill-time was between 3-4sec and approximately 30sec for trials 1 and 2, respectively. For trial 1, gasping and blinking were observed at the 2.5-minute timepoint, and those pigs were immediately euthanized. No signs of consciousness were observed starting at 5 minutes. For trial 2, mean COM was reached at approximately 3.6 minutes post-foaming. Shorter COM time was noted in the morning compared to afternoon (P<0.01).
Based on our results, a minimum of 7.5min dwell time is recommended to ensure non-recoverability. Our work supports the approval of WBF as an option for emergency depopulation in swine.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f96b9771-fb6c-44dd-a762-ec56c2a745e9","Title":"Dr.","FirstName":"Andreia G.","LastName":"Arruda","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Arruda A"},{"PresentationId":"f96b9771-fb6c-44dd-a762-ec56c2a745e9","Title":"Dr.","FirstName":"Magnus R.","LastName":"Campler","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Campler M"},{"PresentationId":"f96b9771-fb6c-44dd-a762-ec56c2a745e9","Title":"Dr.","FirstName":"Ting-Yu","LastName":"Cheng","Position":"Postdoctoral Scholar","Affiliations":null,"IsPresenting":true,"SortOrder":3,"DisplayName":"Cheng T"},{"PresentationId":"f96b9771-fb6c-44dd-a762-ec56c2a745e9","Title":"Dr.","FirstName":"Justin","LastName":"Kieffer","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Kieffer J"},{"PresentationId":"f96b9771-fb6c-44dd-a762-ec56c2a745e9","Title":"Dr.","FirstName":"Steven","LastName":"Moeller","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Moeller S"},{"PresentationId":"f96b9771-fb6c-44dd-a762-ec56c2a745e9","Title":"Dr.","FirstName":"Andrew S.","LastName":"Bowman","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Bowman A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f96b9771-fb6c-44dd-a762-ec56c2a745e9","Number":1,"Affiliation":"The Ohio State University","City":"Columbus","State":"OH","Country":"USA","AffiliationDisplay":"The Ohio State University, Columbus OH, USA"}],"AuthorsHtml":"Arruda A1, Campler M, Cheng T, Kieffer J, Moeller S, Bowman A","AffiliationsHtml":"
1The Ohio State University, Columbus OH, USA
"}],"DisplayName":"Ting-Yu Cheng","TimeDisplay":null},{"ContactId":"9c320ca5-b665-49a4-a51b-c48e7f7c0dee","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ty","LastName":"Chhay","Position":"Dr","Organization":"Livestock Development For Local Community Organization","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Characterization of practices among pig smallholders in Cambodia and implications for disease risk","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7ef23fe7-0a8c-4a54-afbd-b854c4e18dee","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Html":null,"PlainText":"Objective: Smallholder pig farms (SPFs) are prevalent in Cambodia but vulnerable to disease impacts, as evidenced by the recent incursion of African Swine Fever into the region. As part of the ‘PigFluCam+’ project, we sought to provide an updated picture of pig husbandry and biosecurity practices among SPFs in south-central Cambodia.

Methods: A multi-stage sampling design was adopted to select study districts and villages within four provinces: Phnom Penh, Kandal, Takeo, and Kampong Speu. Structured interviews were conducted between October 2020 - May 2021, among all consenting households keeping pigs in 16 target villages.

Results: Recruited SPFs (n=176) kept 6.8 pigs on average (s.d.=7.7), with most (88%) keeping cross-bred varieties of sows (77%), growers/finishers (39%), piglets/weaners (22%), and few keeping boars (5%). Chickens (83%) and waterfowl (56%) were commonly raised and could usually contact pigs directly (79%). Pigs were the primary source of household income for 28% of participants. While pigs tended to be housed individually (40%) or in groups (33%), 13% kept pigs free-ranging/tethered. Pigs were commonly fed agricultural by-products (80%), commercial feed (60%) and notably, household waste (59%). Under half of SPFs vaccinated pigs (e.g. against classical swine fever, Aujesky’s and pasteurollosis, although the target disease was often unknown). Among 20 SPFs who experienced pig morbidities/mortalities within the past 6 months, only 3 (15%) reported to animal health workers, and disease aetiology was rarely known. Common biosecurity measures included nets covering pens (62%) and restricting access to the site/pens (46%). Boot dips (0.6%) and PPE (1.2%) were rarely used.

Conclusion: Pig smallholdings remain an important contributor to rural livelihoods. Current practices and biosecurity challenges increase risk pathways for a range of disease threats of both local and global concern. Ethnographic studies are needed to better understand local determinants and develop context-appropriate strategies.


Keywords: Smallholder, swine, biosecurity, Cambodia, ASF.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Title":"Dr.","FirstName":"Phalla","LastName":"Miech","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Miech P"},{"PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Title":"Mr","FirstName":"William","LastName":"Leung","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Leung W"},{"PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Title":"Dr","FirstName":"Ty","LastName":"Chhay","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Chhay T"},{"PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Title":"Mr","FirstName":"Sina","LastName":"Vor","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Vor S"},{"PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Title":"Dr","FirstName":"Arata","LastName":"Hidano","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Hidano A"},{"PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Title":null,"FirstName":"G","LastName":"PigFluCam+ Consortium","Position":null,"Affiliations":"1,2,3,4,5","IsPresenting":false,"SortOrder":6,"DisplayName":"PigFluCam+ Consortium G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Number":1,"Affiliation":"Livestock Development for Community Livelihood","City":null,"State":null,"Country":"Cambodia","AffiliationDisplay":"Livestock Development for Community Livelihood, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Number":2,"Affiliation":"London School of Hygiene & Tropical Medicine","City":null,"State":null,"Country":"United Kingdom","AffiliationDisplay":"London School of Hygiene & Tropical Medicine, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Number":3,"Affiliation":"National Animal Production Research Institute","City":null,"State":null,"Country":"Cambodia","AffiliationDisplay":"National Animal Production Research Institute, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Number":4,"Affiliation":"Duke-NUS Medical School","City":null,"State":null,"Country":"Singapore","AffiliationDisplay":"Duke-NUS Medical School, Singapore"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"12a23b53-6143-4b80-869e-08efa8108125","Number":5,"Affiliation":"University of Health Sciences","City":null,"State":null,"Country":"Cambodia","AffiliationDisplay":"University of Health Sciences, Cambodia"}],"AuthorsHtml":"Miech P1, Leung W2, Chhay T1, Vor S1, Hidano A2, PigFluCam+ Consortium G1,2,3,4,5","AffiliationsHtml":"
1Livestock Development for Community Livelihood, Cambodia
2London School of Hygiene & Tropical Medicine, United Kingdom
3National Animal Production Research Institute, Cambodia
4Duke-NUS Medical School, Singapore
5University of Health Sciences, Cambodia
"}],"DisplayName":"Ty Chhay","TimeDisplay":null},{"ContactId":"da1e0072-4047-4aa2-be7b-549acbcc84b8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Prabal","LastName":"Chowdhury","Position":"Phd Student","Organization":"The University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d58d94c8cca3468fb658b2a73535cae7","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Smothering in free-range layer poultry: Are smothering events more likely to occur in shadowed areas?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"cc7a8d79-a5d9-425d-85cb-1529a5b8b0dc","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.E - Animal welfare","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Html":null,"PlainText":"Keywords: smothering, free-range, layer poultry, shadow

Objective
Smothering, a significant health and welfare issue for free-range layer poultry occurs when birds mass together, on top of one another, resulting in death from suffocation. Anecdotal reports from flock managers have been that smothering events outside a shed are more likely to occur in shadowed-areas compared with sunlit-areas. The objective of this study was to test this hypothesis.

Materials and methods
This was a 2-year prospective cohort study of 80 free-range poultry flocks from three farms, representing a total of around 1.2 million birds. At the start of the study, flock managers were asked to record the date, time and location of smothering events using a logbook system.

The unit of interest was each of the 5m × 2m ‘areas’ around the periphery of each shed, used to define the location of smothering events. We tallied the number of smothering events in each area and compared that to the total number of daylight hours at risk for that area. Based on geographical location and shed dimensions we stratified the data into shadow-positive and shadow-negative areas using 3D models of each shed and the date and time of observations for each outside shed area. The incidence-rate of smothering in shadowed-areas was compared to the incidence rate in sunlit-areas to return an incidence-rate-ratio (IRR).

Results
Smothering-IRRs for shadowed-areas was highly variable across sheds, with the IRRs of greater than unity for nine out 16 sheds with data available at the time of writing. For seven of the 16 sheds the IRR was > 2.0.

Conclusions
The strength of the association between shadowed-areas and smothering risk was highly variable across sheds. Intervention studies to limit bird access to shadowed-areas and to assess this effect on smothering incidence would be a logical extension to this work.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Title":"Mr.","FirstName":"Prabal","LastName":"Chowdhury","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Chowdhury P"},{"PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Title":"Professor","FirstName":"Mark","LastName":"Stevenson","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Stevenson M"},{"PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Title":null,"FirstName":"Rutu","LastName":"Acharya","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Acharya R"},{"PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Title":null,"FirstName":"Maxine","LastName":"Rice","Position":"PhD candidate","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Rice M"},{"PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Title":null,"FirstName":"Jessalyn","LastName":"Taylor","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Taylor J"},{"PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Title":"Professor","FirstName":"Andrew","LastName":"Fisher","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Fisher A"},{"PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Title":null,"FirstName":"Peta","LastName":"Taylor","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Taylor P"},{"PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Title":"Professor","FirstName":"Paul","LastName":"Hemsworth","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":8,"DisplayName":"Hemsworth P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Number":1,"Affiliation":"Asia-Pacific Centre for Animal Health, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne","City":"Melbourne","State":"Victoria","Country":"Australia","AffiliationDisplay":"Asia-Pacific Centre for Animal Health, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne Victoria, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Number":2,"Affiliation":"Animal Welfare Science Centre, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne","City":"Melbourne","State":"Victoria","Country":"Australia","AffiliationDisplay":"Animal Welfare Science Centre, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne Victoria, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9ca76047-c254-4907-932c-e037cc081608","Number":3,"Affiliation":"Faculty of Science, Agriculture, Business and Law, University of New England","City":"Armidale","State":"NSW","Country":"Australia","AffiliationDisplay":"Faculty of Science, Agriculture, Business and Law, University of New England, Armidale NSW, Australia"}],"AuthorsHtml":"Chowdhury P1, Stevenson M1, Acharya R2, Rice M2, Taylor J2, Fisher A2, Taylor P3, Hemsworth P2","AffiliationsHtml":"
1Asia-Pacific Centre for Animal Health, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne Victoria, Australia
2Animal Welfare Science Centre, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne Victoria, Australia
3Faculty of Science, Agriculture, Business and Law, University of New England, Armidale NSW, Australia
"}],"DisplayName":"Prabal Chowdhury","TimeDisplay":null},{"ContactId":"25d0fed5-748a-4c41-831d-d4dfa20dbc1e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jette","LastName":"Christensen","Position":"","Organization":"Canada West Swine Health Intelligence Network","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Temporal surveillance in a functional ongoing surveillance system: Canada West Swine Health Intelligence Network","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"606a7004-0a8b-4317-b142-596fb4934133","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"e2e2bc22-c391-451c-8be8-7a12cb642978","Html":null,"PlainText":"Canada West Swine Health Intelligence network (CWSHIN) is a functional ongoing surveillance system that serves western Canadian swine producers, practitioners, and governments to improve health, production, and the economic prosperity of the sector.
Objective: The objectives was to present results of temporal surveillance in a surveillance system based on a guide with a predefined set of charts, thresholds (flags/signals/runs), and actions (exploration/discussion).
Materials and methods: The surveillance system included collection of clinical impression surveys (CIS) and laboratory health data stored in a data repository, a method of combining data without population identifiers (disease map) and a guide to temporal surveillance (analysis). The guide included 23 descriptive and 22 Statistical Process Control charts (SPC). Descriptive charts were assessed visually for unexpected trends (flag). Signals were points outside the control limits (CL); and patterns of consecutive points were runs in SPC.
Results: We present the last quarter and Porcine Epidemic Diarrhea (PED). There were two flags (Respiratory, Injury/Welfare); one signal (Systemic); PED had both a flag and a signal. PED’s flag was an increase in p/n to 10% (top figure). The SPC confirmed the significance (not shown). This was explained by an outbreak of PED starting in October. Other flags/signals may be more subtle and need more exploration/discussion to explain.
Conclusion: The temporal surveillance in CWSHIN is ongoing. Flags, signals, and runs helped identify relevant health issues for further exploration and discussion.
Keywords: temporal surveillance
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1Canada West Swine Health Intelligence Network (cwshin), Charlottetown PE, Canada
"}],"DisplayName":"Jette Christensen","TimeDisplay":null},{"ContactId":"ee0e175f-7293-48ae-bd27-baf090c15d54","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Baki","LastName":"Cisse","Position":null,"Organization":"Public Health Agency of Canada","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/41904fe0598a440698acdd62e1444f57","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Amplification conditions of West Nile virus transmission in eastern Ontario using a cellular automata approach ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"5f5568b1-ed47-4f9f-ab4d-db8ff06078ec","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.E - Epidemiology of vector-borne diseases","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"88f69543-0d90-49d8-856c-01cab882125b","Html":null,"PlainText":"The main objective of this work was to analyze the interactions between the zoonotic West Nile virus (WNV) hosts (American robin (AMRO) and humans) and its vector Culex pipiens-restuans (CPR) to ascertain: (a) the impact of the arrival of infectious robins in the study region during the spring season, and (b) the effect of CPR’s shifting feeding preferences (from robins to humans) on local WNV transmission in eastern Ontario, Canada.
We divided our study region in into 2*2 km rectangular cells and developed a spatialized compartmental model called SEIRDS-SEI that uses a cellular automata (CA) approach. We used 2010-2019 AMRO data from the citizen science project eBirds and the 2010-2021 CPR data from provincial surveillance of mosquito-borne diseases in Ontario for model calibration. We divided robin and human populations into five groups (Susceptible-Exposed-Infected-Recovered-Dead) and CRP into three groups (Susceptible-Exposed-Infected). We simulated 3 sets of scenarios where we modified length, number of infectious birds arriving in spring, and the progressive shift in CPR blood-meal preferences. We then characterized the resulting epidemics in bird, mosquito, and human populations in time and space. All of the simulations and the model sensitivity analysis were performed with MATLAB R2021b software.
Preliminary results showed that the shift in feeding behavior had a stronger impact of WNV transmission in humans than in birds. Additionally, the herd immunity in birds induced by recurrent infection year after year has only limited impact on epidemic burden compared to the number of infected birds arriving in the region. We plan to refine these observations and compare our simulations to the historically observed infection rate in CPR populations.
This research will provide policymakers with key information to better understand and prevent risk associated with WNV transmission in Canada and provide valuable support for research-oriented policies on mosquito-borne diseases in Canada.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"88f69543-0d90-49d8-856c-01cab882125b","Title":"Dr.","FirstName":"Baki","LastName":"Cisse","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cisse B"},{"PresentationId":"88f69543-0d90-49d8-856c-01cab882125b","Title":"Dr.","FirstName":"Antoinette","LastName":"Ludwig","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ludwig A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"88f69543-0d90-49d8-856c-01cab882125b","Number":1,"Affiliation":"Public Health Agence of Canada (PHAC)","City":"Saint-hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Public Health Agence of Canada (PHAC), Saint-hyacinthe QC, Canada"}],"AuthorsHtml":"Cisse B1, Ludwig A1","AffiliationsHtml":"
1Public Health Agence of Canada (PHAC), Saint-hyacinthe QC, Canada
"}],"DisplayName":"Baki Cisse","TimeDisplay":null},{"ContactId":"2b2ebe36-f2b0-40f3-86e3-d54dafdfe850","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Claudia","LastName":"Cobo-Angel","Position":"Post-doctoral Fellow","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Canadian dairy farmers’ attitudes toward antimicrobial resistance and prudent antimicrobial use","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8194b3eb-d8cd-45a4-9596-8b622a91e823","Html":null,"PlainText":"Objective
Antimicrobial resistance (AMR) is a major challenge in public health. Farmers’ attitudes and risk perception influence the antimicrobial use (AMU) decisions. We aimed to describe Canadian dairy farmers’ attitudes toward AMR and promotion of prudent AMU.
Methods
An online questionnaire was distributed among dairy farmers in Ontario and Atlantic Canada. We included 15 items to explore farmers’ attitudes toward responsible AMU and AMR risk perception. We performed a factor analysis on the 15 statements, using scree plots and parallel tests to select the number of factors retained. Responses from 151 farmers were included in this analysis. T-tests were used to explore associations between variables.
Results
Participants’ level of agreement with the 15 statements regarding AMR and AMU reduction are summarized in Figure 1. We identified four factors, explaining 60% of the variance in farmers’ responses to these statements. Based on the factor loadings, four dimensions could be described as follows:
F1: knowledge and awareness of AMU and AMR
F2: sense of responsibility when using antimicrobials
F3: inaccurate knowledge of AMR and low awareness of AMR
F4: fear of consequences of AMU reduction on cattle health and welfare
Scores for factor 2 were associated with disagreeing with greater promotion of responsible AMU in the dairy industry (P = 0.02). Scores for factor 3 were associated with being an employee of the farm (P = 0.05).
Conclusion
Targeted interventions considering farmers’ knowledge, attitudes, and values regarding AMU and AMR could be more effective to achieve rational AMU.

Keywords: AMS, antibiotic, One-Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"8194b3eb-d8cd-45a4-9596-8b622a91e823","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e37db9b0ef954e33b83efe175283ef17","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"8194b3eb-d8cd-45a4-9596-8b622a91e823","Title":"Mrs.","FirstName":"Claudia","LastName":"Cobo-Angel","Position":"Post-doctoral Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cobo-Angel C"},{"PresentationId":"8194b3eb-d8cd-45a4-9596-8b622a91e823","Title":"Dr.","FirstName":"Basem","LastName":"Gohar","Position":"Assistant professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gohar B"},{"PresentationId":"8194b3eb-d8cd-45a4-9596-8b622a91e823","Title":null,"FirstName":"Stephen J","LastName":"LeBlanc","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"LeBlanc S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8194b3eb-d8cd-45a4-9596-8b622a91e823","Number":1,"Affiliation":"Department of Population Medicine, University of Guelph, Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph, Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Cobo-Angel C1, Gohar B1, LeBlanc S1","AffiliationsHtml":"
1Department of Population Medicine, University of Guelph, Guelph, Guelph Ontario, Canada
"},{"Title":"Intervention to promote responsible antimicrobial use on Canadian dairy farms","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"1410ca0d-b8f8-4891-ba3d-4007cd4e8b2d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.B - AMU","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"a92aba0c-8276-463c-be7d-6df266eb26d3","Html":null,"PlainText":"Objective
As part of a plan to combat antimicrobial resistance (AMR), health authorities have promoted reducing antimicrobial use (AMU) in agriculture. We aimed to test the efficacy of a set of information transfer activities to reduce AMU on dairy farms.
Methods
We conducted a pilot cross-over study with 13 farms from Ontario. Farmers watched three videos (each video three weeks apart) to improve AMR awareness, explain the classification of antibiotics according to their importance in human health, and present management strategies to reduce AMU on dairy farms. Additionally, using “garbage can audit” data, each producer received a report benchmarking AMU (i.e. AMU on their farm compared to other farms in Ontario). We collected empty packages of all antibiotics used on the farms for six months before and after the intervention. We calculated the Canadian defined course doses (DCD) for cattle per 100 cow-months. The Wilcoxon rank-sum test was used to compare AMU before and after the intervention.
Results
Most enrolled farms had free-stall barns (85%) and a milking parlour (54%). Participants were mostly farm owners (85%) with an average of 29 (SD=10) years of experience in dairy farming. Most (63%) participants selected the benchmarking presentation as the most relevant information offered during the study, and 61% of producers affirmed to have changed AMU procedures on their farms because of the information presented in the study. The median AMU before and after the intervention was 33 (IQR: 18-54) DCD/100 cow-months and 13 (IQR: 6-24) DCD/100 cow-months, respectively, and differed significantly (P=0.002). Use of category I and II antibiotics decreased 22% and 34%, respectively.
Conclusion
These preliminary results indicate that the combination of benchmarking and educational information may be effective in reducing AMU on dairy farms. Large-scale studies are needed to validate our results.

Keywords: AMR, benchmarking, dairy cattle, strategies
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a92aba0c-8276-463c-be7d-6df266eb26d3","Title":"Dr.","FirstName":"Claudia","LastName":"Cobo Angel","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cobo Angel C"},{"PresentationId":"a92aba0c-8276-463c-be7d-6df266eb26d3","Title":null,"FirstName":"Emma ","LastName":"Morrison","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Morrison E"},{"PresentationId":"a92aba0c-8276-463c-be7d-6df266eb26d3","Title":null,"FirstName":"Javier ","LastName":"Sanchez","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Sanchez J"},{"PresentationId":"a92aba0c-8276-463c-be7d-6df266eb26d3","Title":null,"FirstName":"Stephen J","LastName":"LeBlanc","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"LeBlanc S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a92aba0c-8276-463c-be7d-6df266eb26d3","Number":1,"Affiliation":"Department of Population Medicine, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a92aba0c-8276-463c-be7d-6df266eb26d3","Number":2,"Affiliation":"Department of Health Management, University of Prince Edward Island","City":"Charlottetown","State":"Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Health Management, University of Prince Edward Island, Charlottetown Prince Edward Island, Canada"}],"AuthorsHtml":"Cobo Angel C1, Morrison E1, Sanchez J2, LeBlanc S1","AffiliationsHtml":"
1Department of Population Medicine, University of Guelph, Guelph Ontario, Canada
2Department of Health Management, University of Prince Edward Island, Charlottetown Prince Edward Island, Canada
"}],"DisplayName":"Claudia Cobo-Angel","TimeDisplay":null},{"ContactId":"8155a13c-a6b2-4918-828f-74b855bfeb5c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Matthew","LastName":"Coleman","Position":"","Organization":"Animal And Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"GEM Pigs ASF - A Model to Simulate Spread of African Swine Fever in Great Britain","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7e30a9c-236f-4ba3-b0a6-7c7cd4fd235d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.D - Infectious Disease Modeling","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"3d13fe58-b75a-4555-b22c-2618a1fade74","Html":null,"PlainText":"Objectives
African Swine Fever (ASF) is a disease of particular global concern currently, with many countries in Europe affected, and potential to spread into Great Britain (GB). The goal of this work was to create a transmission model to simulate potential ASF outbreaks in the GB domestic pig population to aid in epidemic preparedness.
Materials and Methods
The model consists of a within-herd and a between-herd component. The within herd component is a Susceptible-Exposed-Infectious-Recovered (SEIR) model, with animals divided by age group. Disease spreads between farms via (i) the movement of infected animals, and (ii) through a local spread kernel simulating other routes of transmission, such as fomites. After detection of the initial case, the model will also simulate control measures being put in place to counter the spread, through protection and surveillance zones, and the culling of animals on detected farms.
Results
The model simulates a two-year period rapidly allowing us to simulate potential outbreaks of different strains of ASF virus. We then analyse a number of key measures of outbreak size, such as the number of holdings with infected pigs and overall length of the outbreak to determine how much of an effect the virus strain has on the overall outbreak. By using different seeding locations, we also examine the effect farm type would have on the size of an outbreak.
Conclusions
We have produced a model to simulate spread of ASF in GB. The parameterisation is flexible, allowing us to examine many different outbreak possibilities and control strategies, and the framework of the model is such that it could readily be adapted for different pathogens.
Keywords: Modelling, Epidemiology, African Swine Fever","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3d13fe58-b75a-4555-b22c-2618a1fade74","Title":"Dr.","FirstName":"Matthew","LastName":"Coleman","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Coleman M"},{"PresentationId":"3d13fe58-b75a-4555-b22c-2618a1fade74","Title":"Dr.","FirstName":"Mark","LastName":"Arnold","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Arnold M"},{"PresentationId":"3d13fe58-b75a-4555-b22c-2618a1fade74","Title":"Dr.","FirstName":"Simon","LastName":"Croft","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Croft S"},{"PresentationId":"3d13fe58-b75a-4555-b22c-2618a1fade74","Title":"Dr.","FirstName":"Oliver","LastName":"Tearne","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Tearne O"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3d13fe58-b75a-4555-b22c-2618a1fade74","Number":1,"Affiliation":"Animal And Plant Health Agency","City":"Weybridge","State":"England","Country":"United Kingdom","AffiliationDisplay":"Animal And Plant Health Agency, Weybridge England, United Kingdom"}],"AuthorsHtml":"Coleman M1, Arnold M1, Croft S1, Tearne O1","AffiliationsHtml":"
1Animal And Plant Health Agency, Weybridge England, United Kingdom
"}],"DisplayName":"Matthew Coleman","TimeDisplay":null},{"ContactId":"e903d7a9-1f55-4a1b-9de8-36fe22df88fe","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ewan","LastName":"Colman","Position":"","Organization":"University of Edinburgh","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/81025253f0c24e04abcdb012eb19dc92","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"ewancolman","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"ewancolman","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=ewancolman","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=ewancolman","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Improving models of bovine viral diarrhoea transmission by asking farmers questions\r\n","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"791f6711-f679-4a3f-a672-0c7df75e4923","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"eed95b73-3134-43fc-941a-b59112621e55","Html":null,"PlainText":"1. Objective
Bovine Viral Diarrhoea (BVD) is a costly endemic infectious disease in England. A scheme was introduced that gives farmers certification for keeping their herds free of BVD - the expectation is that uptake of the scheme will grow through peer-pressure and emergent financial incentives. To predict whether or not this will happen, we aim to better understand the motivations of farmers and to integrate the diversity of behaviours into an epidemiological model.

2. Materials and methods
We surveyed 42 farmers in the North of England with a questionnaire on past and present attitudes towards the management of BVD. We applied a novel algorithm to these data to reveal clusters of associated traits. These clusters, along with a database of animal movements in the UK, were used to inform an agent-based simulation of BVD transmission and scheme uptake.

3. Results
From the survey, we found that past experiences of BVD are associated with higher concern about the disease and more faith in the effectiveness of biosecurity, traits associated with the sharing of information are clustered together, and farmers that do little to protect their cattle tend to be less knowledgeable about the disease, to give just a few examples. Introducing this heterogeneity of behaviours into our model changed the outcomes substantially; while eradication became harder to achieve, we found that additional targeted measures can remedy this.

4. Conclusion
Modelling is a valuable resource for predicting and assessing the effectiveness of disease control. However, oversimplifying the diversity of attitudes and behaviour can lead to models that fail to accurately recreate the dynamics of transmission. We use BVD to illustrate this point and we believe our results are relevant to many other domains.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"eed95b73-3134-43fc-941a-b59112621e55","Title":"Dr.","FirstName":"Ewan","LastName":"Colman","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Colman E"},{"PresentationId":"eed95b73-3134-43fc-941a-b59112621e55","Title":"Professor","FirstName":"Rowland","LastName":"Kao","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Kao R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eed95b73-3134-43fc-941a-b59112621e55","Number":1,"Affiliation":"The Roslin Institute, University Of Edinburgh","City":"Midlothian","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"The Roslin Institute, University Of Edinburgh, Midlothian Scotland, United Kingdom"}],"AuthorsHtml":"Colman E1, Kao R","AffiliationsHtml":"
1The Roslin Institute, University Of Edinburgh, Midlothian Scotland, United Kingdom
"}],"DisplayName":"Ewan Colman","TimeDisplay":null},{"ContactId":"b4fac0aa-3a84-4dd8-a967-a6be9c3cb6d3","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Reilly","LastName":"Comper","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Descriptive network analysis and influence of timescale on centrality and cohesion metrics from a system of between-herd dairy cow movements in Ontario, Canada","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b4f8df75-42e5-4b50-a828-fc749df07a9a","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.C - Network Analysis","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"551dd2ea-d859-493e-8185-559fc155cfe1","Html":null,"PlainText":"Objectives: Previous research has demonstrated that static monthly networks of between-herd dairy cow movements in Ontario, Canada were highly fragmented, reducing potential for large-scale outbreaks. Extrapolating results from static networks can become problematic for diseases with an incubation period that exceeds the timescale of the network. The objectives of this research are to: 1) describe the networks of dairy cow movements in Ontario, and 2) explore how network analyses conducted at different timescales can influence the interpretation of between-farm disease transmission risk.
Materials and methods: Networks of dairy cow movements were created using Lactanet Canada milk record data collected in Ontario between 2009 and 2018. Centrality and cohesion metrics were calculated after aggregating the data at seven timescales: weekly, monthly, semi-annual, annual, biennial, quinquennial, and decennial.
Results: There were 50,598 individual cows moved between Lactanet-enrolled farms, representing approximately 75% of provincially registered dairy herds. Most movements occurred over short distances (median = 39.18 km), with fewer long-range movements (maximum = 1150.80 km). The number of edges increased marginally relative to the number of nodes with longer network timescales. Both mean out-degree (OD), and mean clustering coefficients (CC) increased disproportionately with increasing timescale (ODweekly=0.61, ODdecennial=5.08; CCweekly=0.007, CCdecennial=0.036). Conversely, mean network density (ND) decreased with increasing timescale (NDweekly=0.0089, NDdecennial=0.0011). The largest weak and strong components at the monthly timescale were small relative to the full network (267 and 4 nodes), whereas yearly networks had much higher values (2213 and 111 nodes).
Conclusion: Higher relative connectivity in networks with longer timescales suggests pathogens with long incubation periods and animals with subclinical infection present increased potential for wide-spread disease transmission among dairy farms in Ontario. Careful consideration of disease-specific dynamics should be made when using static networks to model disease transmission among dairy cow populations.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"551dd2ea-d859-493e-8185-559fc155cfe1","Title":"Mr.","FirstName":"Reilly","LastName":"Comper","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Comper R"},{"PresentationId":"551dd2ea-d859-493e-8185-559fc155cfe1","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Kelton D"},{"PresentationId":"551dd2ea-d859-493e-8185-559fc155cfe1","Title":"Dr.","FirstName":"Karen","LastName":"Hand","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Hand K"},{"PresentationId":"551dd2ea-d859-493e-8185-559fc155cfe1","Title":"Dr.","FirstName":"Zvonimir","LastName":"Poljak","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Poljak Z"},{"PresentationId":"551dd2ea-d859-493e-8185-559fc155cfe1","Title":"Dr.","FirstName":"Amy","LastName":"Greer","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Greer A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"551dd2ea-d859-493e-8185-559fc155cfe1","Number":1,"Affiliation":"University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"551dd2ea-d859-493e-8185-559fc155cfe1","Number":2,"Affiliation":"Precision Strategic Solutions","City":"Puslinch","State":"Ontario","Country":"Canada","AffiliationDisplay":"Precision Strategic Solutions, Puslinch Ontario, Canada"}],"AuthorsHtml":"Comper R1, Kelton D1, Hand K2, Poljak Z1, Greer A1","AffiliationsHtml":"
1University of Guelph, Guelph ON, Canada
2Precision Strategic Solutions, Puslinch Ontario, Canada
"}],"DisplayName":"Reilly Comper","TimeDisplay":null},{"ContactId":"82ff9481-5bb3-45ff-ba8b-b6654c8863d9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Polly","LastName":"Compston","Position":"","Organization":"Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"An economic assessment of the impact of foot-and-mouth disease on smallholder dairy farmers in Nakuru County, Kenya","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3c098f2f-0291-43d8-9375-8d12968171e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.D - Epidemiology of FMD","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Html":null,"PlainText":"Objective: Assess the economic impacts of foot-and-mouth disease (FMD) on smallholder farmers in Nakuru county, Kenya.

Methods: A cross-sectional questionnaire survey of 159 smallholder dairy households was conducted in November-December 2020 in areas known to have experienced FMD outbreaks in the previous 12 months. Data on husbandry systems, and production losses and expenditure associated with FMD, were collected. Household profiles were identified using data reduction techniques.

Partial budget models were developed to calculate household-level impact of:
(i)\tan FMD outbreak under current circumstances, including costs expended on vaccination (PBA-1).
(ii)\tan FMD outbreak removing costs associated with vaccination (PBA-2).
(iii)\teffective disease control through a hypothetical “ideal” vaccination campaign (PBA-3).
Impact was calculated as cow-per-year (with median and inter-quartile ranges), where monetary value of an adult cow averaged between $350-$450. Conversion rate used: 1USD=110KSH.

Results: Three household profiles were identified:

Profile-one: Households with 3-8 cattle, utilising zero or private grazing; only 14% earn over half their household income from livestock enterprises. Impact for PBA1 was $99 ($34–$247); for PBA2 was $99 ($32$247); and benefit calculated for PBA3 was $93 ($27–$242).

Profile-two: Households with 3-9 cattle, often utilising semi-zero or private grazing. Dairy operations are commercially-focused. Impact for PBA1 was $72 ($32–$153); for PBA2 was $72 ($32–$152); and benefit calculated for PBA3 was $68 ($28–$148).

Profile-three: Households with 25-87 cattle in low-input semi-extensive grazing systems. Impact calculated for PBA1 was $41 ($13–$116); for PBA2 was $41 ($13–$116); and benefit calculated for PBA3 was $38 ($10–$113).

Conclusion. Profile-two households are most financially dependent on livestock, although they may not incur the largest losses, they are likely most affected by FMD. These profiles can be used to plan targeted FMD-vaccination campaigns that consider both economic benefits and social motivation to participate in disease control.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr.","FirstName":"Polly","LastName":"Compston","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Compston P"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr","FirstName":"Wyckliff","LastName":"Ngetich","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Ngetich W"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr","FirstName":"Evalyne","LastName":"Chepkirui Bett","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Chepkirui Bett E"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr","FirstName":"Grace","LastName":"Mania","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Mania G"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":null,"FirstName":"Sheillah","LastName":"Orono","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":5,"DisplayName":"Orono S"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr","FirstName":"Christopher","LastName":"Auma","Position":null,"Affiliations":"7","IsPresenting":false,"SortOrder":6,"DisplayName":"Auma C"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr","FirstName":"Harry","LastName":"Oyas","Position":null,"Affiliations":"8","IsPresenting":false,"SortOrder":7,"DisplayName":"Oyas H"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr","FirstName":"Nicholas","LastName":"Lyons","Position":null,"Affiliations":"9","IsPresenting":false,"SortOrder":8,"DisplayName":"Lyons N"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr","FirstName":"Joshua","LastName":"Onono","Position":"Senior Lecturer","Affiliations":"3","IsPresenting":false,"SortOrder":9,"DisplayName":"Onono J"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr","FirstName":"Donald","LastName":"King","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":10,"DisplayName":"King D"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Ms.","FirstName":"Barbara","LastName":"Haesler","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":11,"DisplayName":"Haesler B"},{"PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Title":"Dr.","FirstName":"Georgina","LastName":"Limon","Position":"","Affiliations":"1,2","IsPresenting":false,"SortOrder":12,"DisplayName":"Limon G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Number":1,"Affiliation":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College","City":" Brookmans Park","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Number":2,"Affiliation":"The Pirbright Institute","City":"Pirbright","State":"Woking","Country":"United Kingdom","AffiliationDisplay":"The Pirbright Institute, Pirbright Woking, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Number":3,"Affiliation":"Department of Public Health, Pharmacology and Toxicology, College of Agriculture and Veterinary Sciences, University of Nairobi","City":null,"State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Department of Public Health, Pharmacology and Toxicology, College of Agriculture and Veterinary Sciences, University of Nairobi, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Number":4,"Affiliation":"Department of Veterinary Surgery, Theriogenology and Medicine, Egerton University","City":"Njoro","State":"Nakuru","Country":"Kenya","AffiliationDisplay":"Department of Veterinary Surgery, Theriogenology and Medicine, Egerton University, Njoro Nakuru, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Number":5,"Affiliation":"School of Public Health, University of Nairobi","City":null,"State":"Nairobi","Country":"Kenya","AffiliationDisplay":"School of Public Health, University of Nairobi, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Number":6,"Affiliation":"Department of Veterinary Pathology, Microbiology and Parasitology, University of Nairobi","City":null,"State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Department of Veterinary Pathology, Microbiology and Parasitology, University of Nairobi, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Number":7,"Affiliation":"Department of Agriculture, Livestock and Fisheries, Directorate of Veterinary Services","City":null,"State":"Nakuru","Country":"Kenya","AffiliationDisplay":"Department of Agriculture, Livestock and Fisheries, Directorate of Veterinary Services, Nakuru, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Number":8,"Affiliation":"Veterinary Epidemiology and Economics Section, Directorate of Veterinary Services","City":null,"State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Veterinary Epidemiology and Economics Section, Directorate of Veterinary Services, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dabcef4b-b130-4838-a0be-ad30449897e1","Number":9,"Affiliation":"APHA","City":null,"State":null,"Country":"UK","AffiliationDisplay":"APHA, UK"}],"AuthorsHtml":"Compston P1,2, Ngetich W4, Chepkirui Bett E3, Mania G5, Orono S6, Auma C7, Oyas H8, Lyons N9, Onono J3, King D2, Haesler B1, Limon G1,2","AffiliationsHtml":"
1Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom
2The Pirbright Institute, Pirbright Woking, United Kingdom
3Department of Public Health, Pharmacology and Toxicology, College of Agriculture and Veterinary Sciences, University of Nairobi, Nairobi, Kenya
4Department of Veterinary Surgery, Theriogenology and Medicine, Egerton University, Njoro Nakuru, Kenya
5School of Public Health, University of Nairobi, Nairobi, Kenya
6Department of Veterinary Pathology, Microbiology and Parasitology, University of Nairobi, Nairobi, Kenya
7Department of Agriculture, Livestock and Fisheries, Directorate of Veterinary Services, Nakuru, Kenya
8Veterinary Epidemiology and Economics Section, Directorate of Veterinary Services, Nairobi, Kenya
9APHA, UK
"},{"Title":"Quality in animal health economic studies – the need for standardised reporting","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"012507eb-b817-43fd-97e9-b40fd1850121","Html":null,"PlainText":"Keywords: endemic disease; economic methodology

Objective: Assess the quality of 64 articles identified in a systematic review that evaluated economic analyses of endemic foot-and-mouth disease, using a standardised protocol.

Methods: The quality of articles was assessed using a 42-parameter quality appraisal framework, adapted from the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement, a standardised quality assessment matrix used in human medicine. Scores produced were analysed using descriptive statistics. Blind validation by two authors was performed for nine randomly-selected papers; three of these papers were scored by all three authors. Overall scores for each paper were compared using R² values. Agreement between scorers was calculated as a percentage for each parameter in the quality assessment.

Results: Median quality score calculated was 41 (range 8-86). There was moderate correlation in scoring between two authors for nine papers (R² = 0.67). Disagreement was most common in parameters evaluating aspects of the results; agreement was seen most frequently in parameters evaluating the introduction and some aspects of methods. Across all parameters, there was 51.3% agreement between scorers. When scores from papers evaluated by the three authors were compared, for 38% of parameters total agreement was achieved; for 54% there was agreement between two scorers, and 8% there was no agreement.
Conclusion: Validation of the quality assessment tool was not perfect. Binary scoring requires additional support to be applied consistently, as the degree by which a parameter is incompletely reported within a study may contain some subjectivity. These results demonstrate the need for a quality assessment tool for economic studies in animal health. Developing and disseminating standardised definitions and protocols for peer-reviewed studies of economic impact of animal diseases is recommended to support improved estimation of their economic impacts, and support their dissemination.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"012507eb-b817-43fd-97e9-b40fd1850121","Title":"Dr.","FirstName":"Polly","LastName":"Compston","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Compston P"},{"PresentationId":"012507eb-b817-43fd-97e9-b40fd1850121","Title":"Dr.","FirstName":"Georgina","LastName":"Limon","Position":"","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Limon G"},{"PresentationId":"012507eb-b817-43fd-97e9-b40fd1850121","Title":"Ms.","FirstName":"Barbara","LastName":"Haesler","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Haesler B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"012507eb-b817-43fd-97e9-b40fd1850121","Number":1,"Affiliation":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College","City":" Brookmans Park","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"012507eb-b817-43fd-97e9-b40fd1850121","Number":2,"Affiliation":"The Pirbright Institute","City":"Pirbright","State":"Woking","Country":"United Kingdom","AffiliationDisplay":"The Pirbright Institute, Pirbright Woking, United Kingdom"}],"AuthorsHtml":"Compston P1,2, Limon G1,2, Haesler B1","AffiliationsHtml":"
1Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom
2The Pirbright Institute, Pirbright Woking, United Kingdom
"},{"Title":"Initiating a conversation about decolonisation in animal health","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Html":null,"PlainText":"Objective: The concept of decolonisation is complex and under-explored in animal health. We define decolonisation as an ongoing process that confronts and addresses negative influences driven by persistent historical imperial power structures. Recently scholars in global health, higher education and international development have increased their exploration of decolonisation. Decolonisation of established academic and professional practice has the potential to increase equity, equality and productivity.
Methods: In 2021 a group of animal health professionals met to discuss pathways towards decolonised animal health. Our analyses are structured around outputs from those conversations identifying where, and how, decolonisation can benefit our sector.
Results: The group identified agenda-setting of animal health initiatives from non-national actors as a structural enabler of power imbalance, acting through pathways established during colonial occupations. These asymmetries facilitate extractive research, benefiting researchers from the global north in preference to subjects of their enquiries and other professionals. Industrialised international animal health programmes reinforce foreign animal management and husbandry values and undermine indigenous knowledge and systems, further marginalising indigenous animal health professionals and owners. Animal agriculture is a key historical tool in exercising colonial power to disenfranchise particular communities; in sub-Saharan Africa distinctions between ‘improved’ cattle breeds from the global north and ‘local’ breeds risk framing communities as ‘progressive’ or ‘primitive'.
Conclusion: Decolonised practices are additive and inclusive. Change must be led from within our institutions through rethinking of veterinary curricula and research practices, and reconceptualisation of agriculture. We can learn from critical race and animal theories; humanities and social sciences will contribute to the imagining of future pathways. While power remains in veterinary institutes in the global north, most of the global animal health profession is left unheard. By valuing everybody’s contribution, our future will be not only more equitable, but result in significant advances in animal welfare and public health.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Title":"Dr.","FirstName":"Polly","LastName":"Compston","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Compston P"},{"PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Title":"Dr","FirstName":"Musa","LastName":"Mulongo","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Mulongo M"},{"PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Title":"Dr","FirstName":"Navaratnam","LastName":"Partheeban","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Partheeban N"},{"PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Title":"Dr","FirstName":"Christine","LastName":"Thuranira-McKeever","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Thuranira-McKeever C"},{"PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Title":"Dr","FirstName":"Alex","LastName":"Tasker","Position":"Consultant","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Tasker A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Number":1,"Affiliation":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College","City":"Brookmans Park","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Number":2,"Affiliation":"Westpoint Farm Vets","City":null,"State":null,"Country":"United Kingdom","AffiliationDisplay":"Westpoint Farm Vets, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Number":3,"Affiliation":"Anthropology Department, University College London","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Anthropology Department, University College London, London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0912ce5-a697-49a4-beca-a1afef042798","Number":4,"Affiliation":"International Livestock Research Institute","City":null,"State":"Nairobi","Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi, Kenya"}],"AuthorsHtml":"Compston P1, Mulongo M4, Partheeban N2, Thuranira-McKeever C1, Tasker A3","AffiliationsHtml":"
1Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom
2Westpoint Farm Vets, United Kingdom
3Anthropology Department, University College London, London, United Kingdom
4International Livestock Research Institute, Nairobi, Kenya
"}],"DisplayName":"Polly Compston","TimeDisplay":null},{"ContactId":"c39dc95b-9cab-4834-bbc9-3443fb533ce8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Anne","LastName":"Conan","Position":"","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7399650c1a0c4da0a3acc11bbbb5be70","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Expert Opinion on the Effectiveness, Practicability, and Sustainability of Potential Biosecurity Measures on Pig Farms in Hong Kong","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Html":null,"PlainText":"Objective: To assess expert opinions on the effectiveness, practicability, and sustainability of potential biosecurity measures recommended for the semi-intensive pig farms in Hong Kong.

Method: A total of 67 biosecurity measures listed on FAO guidelines to prevent African swine fever in smallholder farms were used. The measures were classified into eight sections: Introduction of New Pigs; Feed and Water; Bedding; Vehicles and Equipment; Deliveries and Supplies; Personnel and Training; Wildlife, Insects, and Hunting; and Manure Management. Five local experts (four veterinarians and one veterinary assistant working with pig farmers in Hong Kong) filled a questionnaire scoring each of the measures using the Likert Scale (1 - 5). Six key performance indicators were used to explain the effectiveness (measure impact and persistence in reducing risk), practicability (implementation speed and cost), and sustainability (potential to disrupt production and stakeholder acceptance).

Results: Overall, experts believed measures related to the eight sections could be highly efficient in preventing the risk of disease introduction and spread (median score ≥4) except measure for preventing rodents from accessing stored food (median score: 3.5), limiting feed spillage (median=3.5), and keeping away poultry and livestock from pig pens (median=3). As for practicability and sustainability, the median of all scores per section was high only for the measures related to the introduction of new pigs (median=4) and feeding and water (median=4), respectively. Among the single measures, only three measures: “demarcating areas for vehicles and equipment cleaning”, “controlling personal traffic”, and “ensuring appropriate dressing and washing protocols for workers before entering farms” had the highest median score difference between efficiency (median=5) and sustainability (median=2.5).

Conclusion: Our study provides the foundation information to improve current biosecurity measure recommendation and develop practical strategies tailored to the needs of semi-intensive pig farmers in Hong Kong.
Keywords: Biosecurity, expert opinion, pig farm, Hong Kong, semi-intensive
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Title":"Dr.","FirstName":"Belete Haile","LastName":"Nega","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Nega B"},{"PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Title":"Dr.","FirstName":"Omid","LastName":"Nekouei","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Nekouei O"},{"PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Title":"Dr.","FirstName":"Jeremy H P","LastName":"HO","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"HO J"},{"PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Title":"Dr.","FirstName":"Yooni","LastName":"Oh","Position":"Regional Project Coordinator","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Oh Y"},{"PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Title":"Prof","FirstName":"Dirk","LastName":"Pfeiffer","Position":"Chair Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Pfeiffer D"},{"PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Affiliations":"2","IsPresenting":true,"SortOrder":6,"DisplayName":"Conan A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Number":1,"Affiliation":"Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong","City":"Kowloon Tong","State":"Kowloon","Country":"Hong Kong","AffiliationDisplay":"Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Tong Kowloon, Hong Kong"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Number":2,"Affiliation":"Center for Applied One Health Research and Policy Advice, City University of Hong Kong","City":"Kowloon Tong","State":"Kowloon","Country":"Hong Kong","AffiliationDisplay":"Center for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon Tong Kowloon, Hong Kong"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Number":3,"Affiliation":"Agriculture, Fisheries and Conservation Department (AFCD)","City":"Hong Kong SAR","State":null,"Country":"Hong Kong","AffiliationDisplay":"Agriculture, Fisheries and Conservation Department (AFCD), Hong Kong SAR, Hong Kong"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f204197a-2696-43d0-a615-513985a68ed4","Number":4,"Affiliation":"Emergency Center for Transboundary Animal Diseases (ECTAD) , FAO Regional Office for Asia and the Pacific","City":"Bangkok","State":null,"Country":"Thailand","AffiliationDisplay":"Emergency Center for Transboundary Animal Diseases (ECTAD) , FAO Regional Office for Asia and the Pacific, Bangkok, Thailand"}],"AuthorsHtml":"Nega B1, Nekouei O1, HO J3, Oh Y4, Pfeiffer D2, Conan A2","AffiliationsHtml":"
1Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Tong Kowloon, Hong Kong
2Center for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon Tong Kowloon, Hong Kong
3Agriculture, Fisheries and Conservation Department (AFCD), Hong Kong SAR, Hong Kong
4Emergency Center for Transboundary Animal Diseases (ECTAD) , FAO Regional Office for Asia and the Pacific, Bangkok, Thailand
"},{"Title":"A network sampling approach to assess the dynamics of pathogens in livestock systems","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Html":null,"PlainText":"Although it is widely acknowledged that the structure of livestock Production and Distribution Networks (PDNs) is an important determinant of diseases dynamics, studies providing empirical evidence are scarce and often challenging to implement. We aimed to develop a standardized methodology to characterize PDNs and randomly sample nodes along them. It was applied to chicken PDNs in Bangladesh, Vietnam and India (Tamil Nadu and Gujarat states).

PDNs refer to all actors involved in the production and distribution of chickens and their interactions. First, PDNs were identified and qualitatively mapped based on existing data and key informant interviews. PDNs were then selected based on their epidemiological relevance. According to data availability, endpoints (shops, markets, slaugtherhouses) were selected through random spatial sampling in India and stratified random sampling in Bangladesh and Vietnam. Structured link-tracing interviews were conducted in selected endpoints to identify suppliers, who were then interviewed until “distribution chains” were traced back to the production farmers.

Nine PDNs were selected. A total of 222 endpoints were surveyed and 1,299 actors interviewed. This sampling approach allowed us to characterize the configurations of PDNs, spatial distribution and interconnections. We were able to identify PDN nodes where viral amplification and mixing may be more likely, to be targeted in subsequent biological studies.

Link-tracing studies can provide a cost-effective way of investigating complex systems, without having to describe the entire networks. Identification of endpoints, catching areas and their linkages will inform the design of subsequent epidemiological investigations within PDNs.

Keywords: Networks, Sampling, Link-Tracing, Poultry, Infectious diseases","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e5897eed98d64095900e03a22f53a7fc","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Title":"Mrs.","FirstName":"Lorraine","LastName":"Chapot","Position":null,"Affiliations":"1,2,3","IsPresenting":false,"SortOrder":1,"DisplayName":"Chapot L"},{"PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Conan A"},{"PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Title":null,"FirstName":null,"LastName":"UKRI GCRF One Health Poultry Hub consortium","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"UKRI GCRF One Health Poultry Hub consortium"},{"PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Title":"Dr.","FirstName":"Damer","LastName":"Blake","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Blake D"},{"PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Title":"Dr.","FirstName":"Fiona","LastName":"Tomley","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Tomley F"},{"PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Fournie G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Number":1,"Affiliation":"Centre for Applied One Health Research and Policy Advice, City University of Hong Kong","City":"Kowloon Tong ","State":"Kowloon","Country":"Hong Kong ","AffiliationDisplay":"Centre for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon Tong Kowloon, Hong Kong "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Number":2,"Affiliation":"Department of Pathobiology and Population Sciences, The Royal Veterinary College","City":"North Mymms","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Department of Pathobiology and Population Sciences, The Royal Veterinary College, North Mymms Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fcea04c8-b6b6-4433-8949-738d86d39606","Number":3,"Affiliation":"Ausvet Europe","City":"Lyon","State":null,"Country":"France","AffiliationDisplay":"Ausvet Europe, Lyon, France"}],"AuthorsHtml":"Chapot L1,2,3, Conan A1, UKRI GCRF One Health Poultry Hub consortium2, Blake D2, Tomley F2, Fournie G2","AffiliationsHtml":"
1Centre for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon Tong Kowloon, Hong Kong
2Department of Pathobiology and Population Sciences, The Royal Veterinary College, North Mymms Hertfordshire, United Kingdom
3Ausvet Europe, Lyon, France
"},{"Title":"Exposure to Coxiella burnetii in American students attending veterinary school in the Caribbean","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f124a13e-54a1-4813-86cf-e88da83548c2","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.E - Epidemiology of emerging/zoonotic diseases","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"e48209d5-1b23-406e-9d7f-bc0106a182e9","Html":null,"PlainText":"Following the detection of Coxiella burnetii seropositive sheep on a veterinary campus in St. Kitts (West Indies), we aimed to evaluate the risk of exposure to C. burnetii in the veterinary student population during their two-year residence on the island.

We sampled blood from incoming veterinary students (<1 month residence in St. Kitts) and outgoing veterinary students (end of the pre-clinical curriculum, ~2.5 years of residence). Serology was performed using indirect immunofluorescence assay to test Coxiella burnetii Phase I and Phase II immunoglobulins M and G. Seropositivity was defined as any immunoglobulin positive at or above 1:64 dilution. Background data were gathered using a standardized questionnaire. The main exposure variable (incoming/outgoing) was tested by logistic regression. Other risk factors were compared using logistic regression with the incoming/outgoing variable forced in the model.

Of the 98 participants (48 incomings and 50 outgoings), 41 (41.8 %, 95 %CI: 31.9-52.2) were seropositive to C. burnetii. There was no significant difference between the two groups (45.8% for incoming vs. 38.0% for outgoing) (p=0.4). No risk factors were significantly more reported in the seropositive group. U.S. state of origin of the students was not associated with seropositivity either.

Despite the presence of Coxiella burnetii on St Kitts, there is no higher risk of exposure for students attending the veterinary university. However, the baseline of seroprevalence in incoming students was much higher than expected. Most of these participants had experience with animals either through farming or previous veterinary technician employment. We, therefore, hypothesize a high exposure to C. burnetii with domestic animals in the U.S. This supports the recent observed increase in the number of human cases, as well as the need to improve animal and human surveillance and control measures in the U.S.

Keywords: Q fever, zoonosis , DVM students

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e48209d5-1b23-406e-9d7f-bc0106a182e9","Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Conan A"},{"PresentationId":"e48209d5-1b23-406e-9d7f-bc0106a182e9","Title":"Dr.","FirstName":"Christa","LastName":"Gallagher","Position":"Assistant Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Gallagher C"},{"PresentationId":"e48209d5-1b23-406e-9d7f-bc0106a182e9","Title":"Dr.","FirstName":"Ananda","LastName":"Muller","Position":"Assistant Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Muller A"},{"PresentationId":"e48209d5-1b23-406e-9d7f-bc0106a182e9","Title":"Dr.","FirstName":"Anne","LastName":"Becker","Position":"Assistant Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Becker A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e48209d5-1b23-406e-9d7f-bc0106a182e9","Number":1,"Affiliation":"Center for Applied One Health Research and Policy Advice, City University Of Hong Kong","City":"Kowloon Tong","State":"Kowloon","Country":"Hong Kong","AffiliationDisplay":"Center for Applied One Health Research and Policy Advice, City University Of Hong Kong, Kowloon Tong Kowloon, Hong Kong"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e48209d5-1b23-406e-9d7f-bc0106a182e9","Number":2,"Affiliation":"One Health Center for Zoonoses and Veterinary Tropical Diseases, Ross University of Hong Kong","City":"Basseterre","State":null,"Country":"St. Kitts and Nevis","AffiliationDisplay":"One Health Center for Zoonoses and Veterinary Tropical Diseases, Ross University of Hong Kong, Basseterre, St. Kitts and Nevis"}],"AuthorsHtml":"Conan A1,2, Gallagher C2, Muller A2, Becker A2","AffiliationsHtml":"
1Center for Applied One Health Research and Policy Advice, City University Of Hong Kong, Kowloon Tong Kowloon, Hong Kong
2One Health Center for Zoonoses and Veterinary Tropical Diseases, Ross University of Hong Kong, Basseterre, St. Kitts and Nevis
"},{"Title":"Coxiella burnetii shedding patterns on pregnant and post parturient ewes from Saint Kitts","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5156909d-5e43-412e-ba4a-f9b5453645e8","Html":null,"PlainText":"This study aimed to evaluate Coxiella burnetii occurrence and burden of shedding in pregnant (vaginal mucus and feces) and post parturient (vaginal mucus, feces and milk) meat ewes from Saint Kitts.

A cross-sectional study was conducted. Barbados Blackbelly ewes from the four biggest meat sheep flocks on the island were included in the study following a stratified sampling: pregnant ewes (n=96) and post-parturient ewes (n=91). Vaginal mucus, feces, and milk were subjected to a screening C. burnetii qPCR (IS1111 multi copy element) followed by a qPCR (single copy icd gene) for quantification shedding (DNA loads) on positive samples. For statistical analyses, Chi-square test (status comparison), McNemar test (route comparison) and Wilcoxon rank sum test (intensity of shedding) were used.

A total of 86.6% (162/187) of the animals shed C. burnetii by at least one route. No statistical difference was observed between pregnant (90.6%) and post parturient (82.4%) (p=0.2). However, shedding occurrence via vaginal and fecal routes was significantly higher in the pregnant ewes (74% and 65.9 %, respectively) compared to the post parturient (51.6% and 46.5%; p-value=0.003 and 0.01, respectively). There was no significant difference in the shedding burdens (median icd-copies/μL) between fecal (1.7), vaginal (2.0) or milk (1.0) routes, neither between pregnant and post-parturient (fecal or vaginal shedding). However, three post parturient were identified as super-spreaders via the fecal route, with a shedding over 290,000 icd-copies/μL.

High occurrence of C. burnetii shedding was detected within pregnant and post-parturient ewes in St. Kitts. Amounts of bacteria shed by vaginal, fecal and milk routes were similar, but with the observation of fecal super-spreaders. Our results are the first to detect shedding in pregnant meat sheep, and show a high risk of spreading of C. burnetii to other flocks and to humans.

Keywords:Q Fever, shedding, Caribbean, meat ewes","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5156909d-5e43-412e-ba4a-f9b5453645e8","Title":null,"FirstName":"Mayra","LastName":"Trujillo","Position":"MSc/DVM student","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Trujillo M"},{"PresentationId":"5156909d-5e43-412e-ba4a-f9b5453645e8","Title":"Dr.","FirstName":"Aspinas","LastName":"Chapwanya","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Chapwanya A"},{"PresentationId":"5156909d-5e43-412e-ba4a-f9b5453645e8","Title":"Dr.","FirstName":"Anne","LastName":"Becker","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Becker A"},{"PresentationId":"5156909d-5e43-412e-ba4a-f9b5453645e8","Title":"Dr.","FirstName":"Christa","LastName":"Gallagher","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Gallagher C"},{"PresentationId":"5156909d-5e43-412e-ba4a-f9b5453645e8","Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Affiliations":"2","IsPresenting":true,"SortOrder":5,"DisplayName":"Conan A"},{"PresentationId":"5156909d-5e43-412e-ba4a-f9b5453645e8","Title":"Dr.","FirstName":"Ananda","LastName":"Muller","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Muller A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5156909d-5e43-412e-ba4a-f9b5453645e8","Number":1,"Affiliation":"Ross University School of Veterinary Medicine","City":"Basseterre","State":null,"Country":"Saint Kitts and Nevis","AffiliationDisplay":"Ross University School of Veterinary Medicine, Basseterre, Saint Kitts and Nevis"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5156909d-5e43-412e-ba4a-f9b5453645e8","Number":2,"Affiliation":"Center for Applied One Health Research and Policy Advice, City University of Hong Kong","City":"Kowloon Tong","State":"Kowloon","Country":"Hong Kong","AffiliationDisplay":"Center for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon Tong Kowloon, Hong Kong"}],"AuthorsHtml":"Trujillo M1, Chapwanya A1, Becker A1, Gallagher C1, Conan A2, Muller A1","AffiliationsHtml":"
1Ross University School of Veterinary Medicine, Basseterre, Saint Kitts and Nevis
2Center for Applied One Health Research and Policy Advice, City University of Hong Kong, Kowloon Tong Kowloon, Hong Kong
"},{"Title":"Investigating poultry trade patterns to improve disease surveillance: A cross-sectional study in Gujarat","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Html":null,"PlainText":"Live bird trade is known to promote the spread of zoonotic pathogens. Although live bird shops (LBSs) are ubiquitous in India, poultry trading practices and their potential impact on disease risk are poorly understood. The objectives of this study were to characterise LBSs based on trading practices likely to increase disease risk, and to assess the connectivity between shops through live poultry trade.
A cross-sectional study was conducted in LBSs of Gujarat. LBSs were selected through multi-stage sampling. Eight cities were first purposively selected and, within each city, shops were identified using random spatial sampling. The standardised questionnaires focused on shop management characteristics, trading and hygiene practices, and details of their chicken suppliers. These suppliers were then contacted and asked about their trading practices. This procedure was repeated until the locations of supplying farms were identified.
A total of 72 shops were recruited. Preliminary descriptive analysis suggests a high heterogeneity in the scale of operations, with weekly sales ranging from 38 to 5,600 chickens. All shops reported to have unsold chickens at the end of the day, with the proportion of unsold chickens reaching up to 26%. The transport of chickens from farms to shops typically involves one (85.3%) or two intermediaries (10.3%). While each city obtained chickens only from one to four districts (out of the 33 districts of Gujarat), four districts supplied more than one city.
The described trade practices may promote pathogen amplification and persistence within LBSs in Gujarat. Moreover, the network shaped by poultry movements connect distant poultry populations, increasing the risk of pathogen spread in the region. Further investigation on risk pathways for disease transmission and identification of their geographical and socio-economic determinants are some of the next steps.

Keywords: Chicken, Live Bird Shop, Disease Risk, Production and Distribution Network, Network Analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Title":"Miss","FirstName":"Sara","LastName":"Sequeira","Position":"Research Assistant","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Sequeira S"},{"PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Title":"Dr.","FirstName":"Haidar Ul Iman","LastName":"Paleja","Position":"Project Manager","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Paleja H"},{"PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Title":"Dr.","FirstName":"Prakash","LastName":"Koringa","Position":"Assistant Professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Koringa P"},{"PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Title":null,"FirstName":"UKRI GCRF","LastName":"One Health Poultry Hub Consortium","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"One Health Poultry Hub Consortium U"},{"PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Fournie G"},{"PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Conan A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Number":1,"Affiliation":"Centre for Applied One Health Research and Policy Advice, College of Veterinary Medicine and Life Sciences, City University of Hong Kong","City":"Kowloon Tong","State":"Kowloon","Country":"Hong-Kong SAR, PR China","AffiliationDisplay":"Centre for Applied One Health Research and Policy Advice, College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Tong Kowloon, Hong-Kong SAR, PR China"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Number":2,"Affiliation":"Department of Pathobiology and Population Sciences, Royal Veterinary College","City":"South Mymms","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Pathobiology and Population Sciences, Royal Veterinary College, South Mymms, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1f346c83-9bcc-4ed2-bdb1-02ba7e955e0f","Number":3,"Affiliation":"Anand Agricultural University","City":"Anand","State":null,"Country":"India","AffiliationDisplay":"Anand Agricultural University, Anand, India"}],"AuthorsHtml":"Sequeira S1, Paleja H3, Koringa P3, One Health Poultry Hub Consortium U2, Fournie G2, Conan A1","AffiliationsHtml":"
1Centre for Applied One Health Research and Policy Advice, College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Tong Kowloon, Hong-Kong SAR, PR China
2Department of Pathobiology and Population Sciences, Royal Veterinary College, South Mymms, United Kingdom
3Anand Agricultural University, Anand, India
"}],"DisplayName":"Anne Conan","TimeDisplay":null},{"ContactId":"04c72f72-32c4-4fd8-9a93-b78985c6535b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Charlotte","LastName":"Cook","Position":"Scientific Relationship Manager","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The Quads Epiteam: report on key outputs and current research activities","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c3da4b58-e0d3-444a-9da4-234629371ecf","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.A - Capacity building in national veterinary service","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Html":null,"PlainText":"Epidemiology, Modelling, Collaboration

Objectives
In 2005 the Quadrilateral Animal Health Emergency Management Group held a workshop on modelling to support decision making in a disease emergency, with a focus on the epidemiological modelling experience gained during and after the 2001 UK Foot and Mouth Disease (FMD) outbreak. New Zealand, Australia, USA, Canada, and UK governments agreed to support formation of the Quadrilateral (Quads) Animal Health Epiteam. The Epiteam aims to foster collaboration and increase capacity and capability around the development, validation and use of animal disease spread models. This presentation summarises the Epiteam’s activities and achievements to date.

Materials and Methods
Using data from the 2001 UK FMD outbreak and other scenario settings across participating countries, the Epiteam has undertaken a series of projects to develop model parameters, compare independently developed epidemiological models, evaluate FMD control strategies e.g., effective vaccination scenarios, and assess the wider implications of disease outbreaks in livestock. The Epiteam have used both shared-challenge and country-specific scenarios to cross-validate models and investigate driving elements of epidemics and intervention strategies.

Results
The Epiteam’s main outputs are (1) actionable information to inform development of disease control policy and outbreak metrics including early indicators of outbreak severity, (2) methodological developments on validation, verification, and review of complex epidemiological models, (3) capability and capacity development in complex epidemiological models used and developed in member countries, and (4) compilation of data-libraries of simulated FMD outbreaks to supplement outbreak data.

Conclusion
Through long-term collaboration, relationship building and a partnership approach to shared projects the Epiteam has improved animal disease outbreak response policies and grown a critical mass of expertise in a specialist area of epidemiological modelling. Pooled expertise allows member countries to request support in times of emergency, obtain independent advice and meet increased expectations of infectious disease outbreak response in the COVID-era.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":"Ms.","FirstName":"Charlotte","LastName":"Cook","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cook C"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Tom","LastName":"Smylie","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Smylie T"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Timothy","LastName":"Boyer","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Boyer T"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Mark","LastName":"Stevenson","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Stevenson M"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Andrew","LastName":"Breed","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Breed A"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Thomas","LastName":"Rawdon","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":6,"DisplayName":"Rawdon T"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Robert","LastName":"Sanson","Position":null,"Affiliations":"7","IsPresenting":false,"SortOrder":7,"DisplayName":"Sanson R"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Pascale","LastName":"Aubry","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":8,"DisplayName":"Aubry P"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Richard","LastName":"Bradhurst","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":9,"DisplayName":"Bradhurst R"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Colin","LastName":"Birch","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":10,"DisplayName":"Birch C"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Matthew","LastName":"Coleman","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":11,"DisplayName":"Coleman M"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Ruth","LastName":"Moir","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":12,"DisplayName":"Moir R"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Kelly","LastName":"Patyk","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":13,"DisplayName":"Patyk K"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Sharon","LastName":"Roche","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":14,"DisplayName":"Roche S"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Emily","LastName":"Sellens","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":15,"DisplayName":"Sellens E"},{"PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Title":null,"FirstName":"Zhidong","LastName":"Yu","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":16,"DisplayName":"Yu Z"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Number":1,"Affiliation":"Animal and Plant Health Agency","City":"Addlestone","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"Animal and Plant Health Agency, Addlestone Surrey, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Number":2,"Affiliation":"Canadian Food Inspection Agency","City":null,"State":"Ontario","Country":"Canada","AffiliationDisplay":"Canadian Food Inspection Agency, Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Number":3,"Affiliation":"Animal and plant Inspection Service","City":null,"State":"Colorado","Country":"United States","AffiliationDisplay":"Animal and plant Inspection Service, Colorado, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Number":4,"Affiliation":"University of Melbourne","City":null,"State":"Victoria","Country":"Australia","AffiliationDisplay":"University of Melbourne, Victoria, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Number":5,"Affiliation":"Department of Agriculture, Water and the Environment","City":"Canberra","State":"ACT","Country":"Australia","AffiliationDisplay":"Department of Agriculture, Water and the Environment, Canberra ACT, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Number":6,"Affiliation":"Ministry for Primary Industries","City":"Wellington","State":null,"Country":"New Zealand","AffiliationDisplay":"Ministry for Primary Industries, Wellington, New Zealand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d96ba86-8a3e-4aba-beeb-1ca45f999798","Number":7,"Affiliation":"AsureQuality Limited","City":"Palmerston North","State":null,"Country":"New Zealand","AffiliationDisplay":"AsureQuality Limited, Palmerston North, New Zealand"}],"AuthorsHtml":"Cook C1, Smylie T2, Boyer T3, Stevenson M4, Breed A5, Rawdon T6, Sanson R7, Aubry P2, Bradhurst R4, Birch C1, Coleman M1, Moir R1, Patyk K3, Roche S5, Sellens E5, Yu Z6","AffiliationsHtml":"
1Animal and Plant Health Agency, Addlestone Surrey, United Kingdom
2Canadian Food Inspection Agency, Ontario, Canada
3Animal and plant Inspection Service, Colorado, United States
4University of Melbourne, Victoria, Australia
5Department of Agriculture, Water and the Environment, Canberra ACT, Australia
6Ministry for Primary Industries, Wellington, New Zealand
7AsureQuality Limited, Palmerston North, New Zealand
"}],"DisplayName":"Charlotte Cook","TimeDisplay":null},{"ContactId":"627edb88-6501-4f96-b4c1-804279ed057a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Elizabeth","LastName":"Cook","Position":null,"Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Elizabeth Cook is a veterinary epidemiologist at the International Livestock Research Institute. Her research focus is the epidemiology of zoonoses and she is involved with a number of One Health research projects in East Africa.

","Presentations":[{"Title":"Are slaughterhouse workers in Kiambu County, Kenya at high-risk for exposure to SARS-CoV-2?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c2f55ac8-98f3-4425-a787-955e6447d0eb","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Html":null,"PlainText":"Objective
To determine if slaughterhouse workers were a high-risk group for exposure to SARS-CoV-2 infection compared to a cross-sectional sample of people in Kiambu County, Kenya.

Materials and methods
Data collection was conducted between October and December 2021. For the community serosurvey, 70 random sites were selected and a minimum of 10 participants aged over 5 years were recruited from each site. For the slaughterhouse survey a list of the main slaughterhouses was obtained from the county veterinary officers and after sensitisation every willing worker was recruited.

Questionnaire data was collected on personal history and knowledge of SARS-CoV-2. A blood sample was collected from each consenting participant and serum was tested using a commercial anti-SARS-CoV-2 IgG ELISA.

An estimate of the prevalence of antibodies to SARS-CoV-2 in the community and in slaughterhouse workers was calculated. Multivariable logistic regression analysis will be conducted using R statistical software.

Results
A total of 300 households were recruited into the study with 876 participants. Most participants were female (69%). The age of participants ranged from 5 – 96 years with a mean age of 40 years. Antibodies were detected in 570 samples and the seroprevalence estimate was 65.1% (95% CI 61.8-68.1%).

A total of 740 slaughterhouse workers were recruited into the study from 18 slaughterhouses. Most participants were male (76%). The age of participants ranged from 18 – 77 years with a mean age of 42 years. Antibodies were detected in 518 samples and the seroprevalence estimate was 70.0% (95% CI 66.6-73.2%). The proportion of slaughterhouse workers with antibodies to SARS-CoV-2 was significantly greater than the community members (Chi2=4.55, df=1, p=0.033).

Conclusion
The preliminary results suggest that slaughterhouse workers are more exposed to SARS-CoV-2 than other members of the community, however further analysis is being conducted to assess risk factors associated with seropositivity.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Title":"Dr.","FirstName":"Elizabeth","LastName":"Cook","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cook E"},{"PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Title":"Ms","FirstName":"Christine","LastName":"Mutisya","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mutisya C"},{"PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Title":"Mr","FirstName":"Joseph","LastName":"Wasonga","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Wasonga J"},{"PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Title":"Dr","FirstName":"Magoma","LastName":"Kwasa","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Kwasa M"},{"PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Title":"Dr","FirstName":"Bernard","LastName":"Bett","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Bett B"},{"PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Title":"Dr","FirstName":"Hung","LastName":"Nguyen-Viet","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Nguyen-Viet H"},{"PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Title":"Dr","FirstName":"Njoki","LastName":"Kimani","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Kimani N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Number":1,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"67e7bee6-7cf8-4f77-8e74-bc24bf5548ae","Number":2,"Affiliation":"Ministry of Health","City":null,"State":"Kiambu","Country":"Kenya","AffiliationDisplay":"Ministry of Health, Kiambu, Kenya"}],"AuthorsHtml":"Cook E1, Mutisya C1, Wasonga J1, Kwasa M2, Bett B1, Nguyen-Viet H1, Kimani N2","AffiliationsHtml":"
1International Livestock Research Institute, Nairobi Nairobi, Kenya
2Ministry of Health, Kiambu, Kenya
"},{"Title":"Vaccine research and the pathway to implementation in East Africa","Bio":"Elizabeth Cook is a veterinary epidemiologist at the International Livestock Research Institute. Her research focus is the epidemiology of zoonoses and she is involved with a number of One Health research projects in East Africa.\r\n\r\n ","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"159ceae0-0007-4d59-844f-a4d29ba5ae8c","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"12_Special Session Part 1: Randomized control trials and the reality of impact evaluations","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"0e8de7ff-7633-4c0d-b0fd-5d9c74d0dc9d","Html":null,"PlainText":"Objectives
The objectives are to give an overview of the approach and challenges of implementing field based randomised control trials (RCTs) for animal products and then taking products to market in East Africa.

Materials and methods
The presentation will focus on the implementation of a field trial for a novel Rift Valley fever (RVF) vaccine. The trial was conducted using good clinical practice (GCP) guidelines. It was a blinded, non inferiority trial comparing the novel RVF vaccine to a currently available commercial product. The vaccine trial was conducted in cattle, sheep, goats and camels.

Results
The trial was conducted at Kapiti Research Station between 2019 and 2021. Research compliance included institutional ethics approval, a research license from the Kenyan Government, and regulatory authorisation from the Kenyan National Biosafety Authority since the product was genetically modified. There were 674 animals in the trial (180 cattle, 180 sheep, 180 goats and 134 camels). There were three treatment groups for the novel vaccine, commercial vaccine and placebo. The trial generated 24,264 samples and 4,500 data clarification forms. Personnel included 3 veterinarians, 2 statisticians, 20 animal handlers and 6 laboratory staff.

Conclusion
The presentation will outline the physical and technical requirements for conducting a field based RCT, the regulatory challenges, and the process of taking the product to market. The approach will be compared to other recent vaccine developments to highlight common challenges in evaluation and the regulatory processes.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0e8de7ff-7633-4c0d-b0fd-5d9c74d0dc9d","Title":"Ms.","FirstName":"Elizabeth","LastName":"Cook","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cook E"},{"PresentationId":"0e8de7ff-7633-4c0d-b0fd-5d9c74d0dc9d","Title":null,"FirstName":"Ilona","LastName":"Gluecks","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gluecks I"},{"PresentationId":"0e8de7ff-7633-4c0d-b0fd-5d9c74d0dc9d","Title":null,"FirstName":"Jane","LastName":"Poole","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Poole J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0e8de7ff-7633-4c0d-b0fd-5d9c74d0dc9d","Number":1,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi, Kenya"}],"AuthorsHtml":"Cook E1, Gluecks I1, Poole J1","AffiliationsHtml":"
1International Livestock Research Institute, Nairobi, Kenya
"}],"DisplayName":"Elizabeth Cook","TimeDisplay":null},{"ContactId":"35fadae9-fe63-4db0-a93b-2411f9cf1f35","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Michelle","LastName":"Coombe","Position":"","Organization":"University of British Columbia / BC Ministry of Agriculture, Food, and Fisheries","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Use of environmental samples to maximize surveillance efficiency for avian influenza viruses circulating in wild waterfowl","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"328192c0-d1c8-4b2b-9f4c-b578cfe52b34","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.E - Epidemiologic Principles and Methods (Bias)","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Html":null,"PlainText":"Objectives: Avian influenza viruses (AIV) can cause devastating disease in domestic poultry. Wild waterfowl—the natural reservoir for AIV—are the focus of surveillance efforts. Traditionally, surveillance focuses on testing individual waterfowl, which is limited by the difficulty in collecting a representative sample of birds. Environmental samples, particularly wetlands sediments where AIV-laden waterfowl feces accumulate, pose a promising alternative. Our objectives were to determine (i) optimal locations for environmental sample collection and (ii) if wetland sediment can match the genetic diversity detected in conventional surveillance.

Methods: Both conventional surveillance (N = 580 hunted waterfowl) and environmental surveillance (N = 701 sediment samples) took place in the lower mainland of British Columbia, Canada, during fall of 2016 and 2017. Presence of AIV was detected by qPCR for matrix gene. A Bernoulli GAM evaluated the association between environmental factors and presence of AIV in wetland sediment. Positive samples were characterized through capture-enrichment sequencing (sediment) or viral isolation and next generation sequencing (birds).

Results: The rate of AIV detection was 18.4% (129/701) in sediment and 11.4% (66/580) hunted birds. The odds of detecting AIV in a sediment sample was positively associated with presence of nearby waterfowl feces (5.00, 95%CI: 1.91 – 11.00) and associated as a non-linear function with pH. The total number of HA and NA subtypes detected in sediment was greater than those detected in hunted birds (n HA subtypes = 13 in sediment vs 6 in birds; n NA subtypes = 9 in sediment vs 6 in birds). All subtypes detected in hunted birds were also detected in sediment.

Conclusions: The probability of detecting AIV in sediment can be maximized by considering waterfowl and abiotic factors during sample collection. Including environmental samples in AIV surveillance programs has potential to yield greater subtype diversity than from wild birds alone.

Keywords: AIV, surveillance, environment
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Title":"Dr.","FirstName":"Michelle","LastName":"Coombe","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Coombe M"},{"PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Title":null,"FirstName":"Kevin","LastName":"Kuchinski","Position":null,"Affiliations":"3,4","IsPresenting":false,"SortOrder":2,"DisplayName":"Kuchinski K"},{"PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Title":null,"FirstName":"Jun","LastName":"Duan","Position":null,"Affiliations":"5,4","IsPresenting":false,"SortOrder":3,"DisplayName":"Duan J"},{"PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Title":"Dr. ","FirstName":"Natalie","LastName":"Prystajecky","Position":null,"Affiliations":"3,4","IsPresenting":false,"SortOrder":4,"DisplayName":"Prystajecky N"},{"PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Title":"Dr. ","FirstName":"William","LastName":"Hsiao","Position":null,"Affiliations":"5,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Hsiao W"},{"PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Title":"Dr.","FirstName":"Chelsea","LastName":"Himsworth","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Himsworth C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Number":1,"Affiliation":"School of Population and Public Health, University Of British Columbia ","City":"Vancouver","State":"British Columbia","Country":"Canada","AffiliationDisplay":"School of Population and Public Health, University Of British Columbia , Vancouver British Columbia, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Number":2,"Affiliation":"Plant and Animal Health Branch, BC Ministry of Agriculture, Food and Fisheries","City":"Abbotsford","State":"British Columbia","Country":"Canada","AffiliationDisplay":"Plant and Animal Health Branch, BC Ministry of Agriculture, Food and Fisheries, Abbotsford British Columbia, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Number":3,"Affiliation":"Department of Pathology and Laboratory Medicine, University of British Columbia","City":"Vancouver","State":"British Columbia","Country":"Canada","AffiliationDisplay":"Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver British Columbia, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Number":4,"Affiliation":"BC Centre for Disease Control","City":"Vancouver","State":"British Columbia","Country":"Canada","AffiliationDisplay":"BC Centre for Disease Control, Vancouver British Columbia, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fd23c301-1f0e-4ed2-b3ae-058139290809","Number":5,"Affiliation":"Faculty of Health Sciences, Simon Fraser University","City":"Burnaby","State":"British Columbia","Country":"Canada","AffiliationDisplay":"Faculty of Health Sciences, Simon Fraser University, Burnaby British Columbia, Canada"}],"AuthorsHtml":"Coombe M1,2, Kuchinski K3,4, Duan J5,4, Prystajecky N3,4, Hsiao W5,4, Himsworth C1,2","AffiliationsHtml":"
1School of Population and Public Health, University Of British Columbia , Vancouver British Columbia, Canada
2Plant and Animal Health Branch, BC Ministry of Agriculture, Food and Fisheries, Abbotsford British Columbia, Canada
3Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver British Columbia, Canada
4BC Centre for Disease Control, Vancouver British Columbia, Canada
5Faculty of Health Sciences, Simon Fraser University, Burnaby British Columbia, Canada
"}],"DisplayName":"Michelle Coombe","TimeDisplay":null},{"ContactId":"523c7ba1-85da-4e17-b55c-d8ad2a75b5d6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Eduardo","LastName":"Costa","Position":"Researcher","Organization":"WBVR","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/87be7a45e9eb4b0682de204f1408abf8","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Multidirectional dynamic model for the spread of Extended-Spectrum-β-lactamase-Producing E. coli in the Netherlands","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"97c96c1f-0955-4bc8-9a07-31dcd437828d","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"516ee37d-daba-4222-9a88-492be423e42c","Html":null,"PlainText":"Objective: This work aimed to design a multidirectional dynamic risk model with which the contribution of different reservoirs to the extended-spectrum β-lactamase Escherichia coli (ESBL-EC) prevalence in humans can be assessed. The model was used to evaluate the effect of interventions in animal production and the food chain on ESBL-EC prevalence in humans.
Materials and methods: A discrete-time model was built to describe within and between population spread of ESBL-EC in humans (open community), farmers, and broiler flocks. The slaughterhouse and consumer phase (food preparation) were included in the model to account for ESBL-EC transmission via food consumption. The model was parameterized for the Netherlands. An uncertainty assessment was conducted to explore the effect of parameter uncertainty on model results.
Results: The overall probability of colonization at week 200 in the open community was 0.049%. The relative contribution of the open community itself, consumption of food – vegetables contaminated during salad preparation-, and contact with farmers were 62%, 29%, and 9%, respectively. Interventions aimed at reducing the within-flock spread in broilers were most effective in reducing the prevalence in the open community, followed by changes in the meat consumption behavior and hygiene in the kitchen. The uncertain parameters that most affected the model were the colonization and decolonization rates for humans.
Conclusions: The model incorporates different populations mutually transmitting ESBL-EC and accounts for the time dynamics of ESBL-EC spread. Results of the model contribute to a better understanding of the reservoirs contributing to ESBL-EC prevalence in humans. This can help public health policymakers in antimicrobial resistance risk mitigation. The next step is extending the model with additional ESBL-EC reservoirs, e.g., livestock and the environment, resulting in a One Health approach for risk assessment of antimicrobial resistance transmission.

Keywords: antimicrobial resistance, ESBL E. coli, source attribution, risk assessment, multidirectional model

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1Wageningen Bioveterinary Research, Lelystad Flevoland, Netherlands
"}],"DisplayName":"Eduardo Costa","TimeDisplay":null},{"ContactId":"64248784-d0d5-4293-a690-7645b5d42a6f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Solenne","LastName":"Costard","Position":"","Organization":"Epix Analytics","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7131d88bb7ef4944abb31e8d904c9a82","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Identification and prioritization of Foreign Animal Disease biosecurity gaps in the U.S. pork industry","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7ef23fe7-0a8c-4a54-afbd-b854c4e18dee","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"b57c2ced-007a-4c36-bb8a-7c773ca88f98","Html":null,"PlainText":"Introduction: An evidence-based framework was developed and used to prioritize needs (biosecurity gaps, BG) for mitigations measures to further protect the U.S. pork industry against foreign animal diseases (FADs) threats.

Methods: Eight FAD entry pathways (legal, and illegal import of live animals, illegal import of pork products, import of feed and feed ingredients, fomites associated with international movements, international movement of people, transboundary movements of wildlife, and accidental release) and six swine subpopulations (industry-commercial, industry-show pigs, industry-other, pet pigs, zoos, and wildlife) were considered. Qualitative probabilities of entry and exposure (non-negligible, unknown, or negligible) were determined using a systematic assessment of available evidence. BG were identified and prioritized using a multi-step approach and eight criteria on existing regulations/guidance and factors affecting mitigation effectiveness.

Results: All pathways contained BG at U.S. entry points, with those for import of feed and smuggling of pork products for commercial purposes of higher concern due to volume and distribution. The highest priority BG for the swine industry were the distribution, processing, and storage of imported feed and feed ingredients. High- and medium-priority BG were also found at slaughter facilities. High-priority BG were identified for transboundary feral pig movements, and possible access of feral pigs to illegally imported pork products disposed in landfills or at recreation areas with feral pig populations. Several exposure pathways contain BG of medium-priority associated with non-compliance with existing regulations and industry guidance, or lack of FAD awareness - especially for non-commercial swine farm settings, pet pigs and zoos.

Conclusion: The framework allowed to prioritize BG and derive recommendations for short-term mitigation measures, outreach to non-commercial pig owners, and research needs.

Keywords: biosecurity, risk, Foreign Animal Disease (FAD), swine production","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b57c2ced-007a-4c36-bb8a-7c773ca88f98","Title":"Dr.","FirstName":"Solenne","LastName":"Costard","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Costard S"},{"PresentationId":"b57c2ced-007a-4c36-bb8a-7c773ca88f98","Title":"Dr.","FirstName":"Daniel","LastName":"Taylor","Position":"Consultant","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Taylor D"},{"PresentationId":"b57c2ced-007a-4c36-bb8a-7c773ca88f98","Title":"Dr.","FirstName":"Francisco J.","LastName":"Zagmutt","Position":"Managing Director","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Zagmutt F"},{"PresentationId":"b57c2ced-007a-4c36-bb8a-7c773ca88f98","Title":"Prof.","FirstName":"Andres","LastName":"Perez","Position":"director of the Center for Animal Health and Food Safety","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Perez A"},{"PresentationId":"b57c2ced-007a-4c36-bb8a-7c773ca88f98","Title":"Dr.","FirstName":"Huybert","LastName":"Groenendaal","Position":"Managing Director","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Groenendaal H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b57c2ced-007a-4c36-bb8a-7c773ca88f98","Number":1,"Affiliation":"Epix Analytics","City":"Fort Collins","State":"CO","Country":"USA","AffiliationDisplay":"Epix Analytics, Fort Collins CO, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b57c2ced-007a-4c36-bb8a-7c773ca88f98","Number":2,"Affiliation":"Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota","City":"Minneapolis","State":"MN","Country":"United States","AffiliationDisplay":"Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, Minneapolis MN, United States"}],"AuthorsHtml":"Costard S1, Taylor D1, Zagmutt F1, Perez A2, Groenendaal H1","AffiliationsHtml":"
1Epix Analytics, Fort Collins CO, USA
2Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, Minneapolis MN, United States
"}],"DisplayName":"Solenne Costard","TimeDisplay":null},{"ContactId":"56513fc6-9d5a-4d4f-a6b0-b75d1ebe3d5b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Melanie","LastName":"Cousins","Position":"Graduate student","Organization":"University of Waterloo","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A review of the evidence landscape to parameterize a One Health model of AMR in a Swedish food system: Using expert knowledge in the interim?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"97c96c1f-0955-4bc8-9a07-31dcd437828d","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Html":null,"PlainText":"Objective(s)
Our study explored the possibility of quantifying an existing model consisting of 92 factors deemed important to the emergence and transmission of antimicrobial resistance (AMR) in the Swedish food system and the creation of a mixed-methods model of the system.

Materials and Methods
We performed a scoping review to identify: (1) current models representing different parts of the One Health system, and (2) existing data to inform such models in a Swedish context. A content analysis was performed on transcripts from a previously conducted workshop of experts engaged in AMR and its upstream drivers to help parameterize the system model. A fuzzy cognitive map of the system was created with the nodes and relationships for which data existed from the literature search and content analysis.

Results
We identified 146 articles describing models that addressed many aspects of the One Health system and 414 sources with data to inform 64 of the 92 previously identified nodes. The content analysis identified quantitative statements to inform 83 nodes, 48 nodes already identified in the model and 35 new nodes. Nodes and relationships were inputted into a fuzzy cognitive map to represent the system.

Conclusion
The identified models were disparate, primarily quantitative, and not integrated. There was extensive data available to inform many of the nodes deemed important drivers of AMR. However, the data were reported in formats not useable for quantitative modelling. There is much knowledge within the literature, however considerable work is needed to determine how to combine knowledge sources to create a comprehensive model and understanding of the food system. Our experts' tacit knowledge helped expand our understanding of the system. The data from the literature search and content analysis was combined using fuzzy logic into a mixed-methods model.

Key Words
Mixed-methods, Fuzzy logic, Scoping Review, Antimicrobial Resistance, One Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":"Miss","FirstName":"Melanie","LastName":"Cousins","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cousins M"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"E Jane","LastName":"Parmley","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Parmley E"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Amy L","LastName":"Greer","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Greer A"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Elena","LastName":"Neiterman","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Neiterman E"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Irene A","LastName":"Lambraki","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Lambraki I"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Matthew N","LastName":"Vanderheyden","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Vanderheyden M"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Tiscar","LastName":"Graells","Position":null,"Affiliations":"3,4","IsPresenting":false,"SortOrder":7,"DisplayName":"Graells T"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Anaïs","LastName":"Léger","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":8,"DisplayName":"Léger A"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Patrik","LastName":"Henriksson","Position":null,"Affiliations":"4,6,7","IsPresenting":false,"SortOrder":9,"DisplayName":"Henriksson P"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Stephan","LastName":"Harbarth","Position":null,"Affiliations":"8","IsPresenting":false,"SortOrder":10,"DisplayName":"Harbarth S"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Max","LastName":"Troell","Position":null,"Affiliations":"4,6","IsPresenting":false,"SortOrder":11,"DisplayName":"Troell M"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Didier","LastName":"Wernli","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":12,"DisplayName":"Wernli D"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Peter","LastName":"Søgaard Jørgensen","Position":null,"Affiliations":"3,4","IsPresenting":false,"SortOrder":13,"DisplayName":"Søgaard Jørgensen P"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Carolee A","LastName":"Carson","Position":null,"Affiliations":"9","IsPresenting":false,"SortOrder":14,"DisplayName":"Carson C"},{"PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Title":null,"FirstName":"Shannon E","LastName":"Majowicz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":15,"DisplayName":"Majowicz S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Number":1,"Affiliation":"Univeristy Of Waterloo","City":"Waterloo","State":"ON","Country":"Canada","AffiliationDisplay":"Univeristy Of Waterloo, Waterloo ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Number":2,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Number":3,"Affiliation":"Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences,","City":"Stockholm","State":null,"Country":"Sweden","AffiliationDisplay":"Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences,, Stockholm, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Number":4,"Affiliation":"Stockholm Resilience Centre, Stockholm University","City":"Stockholm","State":null,"Country":"Sweden","AffiliationDisplay":"Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Number":5,"Affiliation":"Global Studies Institute, University of Geneva","City":"Geneva","State":null,"Country":"Switzerland","AffiliationDisplay":"Global Studies Institute, University of Geneva, Geneva, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Number":6,"Affiliation":"Beijer Institute of Ecological Economics, Royal Swedish Academy of Sciences","City":"Stockholm","State":null,"Country":"Sweden","AffiliationDisplay":"Beijer Institute of Ecological Economics, Royal Swedish Academy of Sciences, Stockholm, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Number":7,"Affiliation":"WorldFish","City":"Penang","State":null,"Country":"Malaysia","AffiliationDisplay":"WorldFish, Penang, Malaysia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Number":8,"Affiliation":"Infection Control Programme and WHO Collaborating Centre on Patient Safety, Geneva University Hospitals and Faculty of Medicine","City":"Geneva","State":"Geneva","Country":"Switzerland","AffiliationDisplay":"Infection Control Programme and WHO Collaborating Centre on Patient Safety, Geneva University Hospitals and Faculty of Medicine, Geneva Geneva, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1be0edd0-bc74-405b-bea8-f43d34febf2f","Number":9,"Affiliation":"Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph Ontario, Canada"}],"AuthorsHtml":"Cousins M1, Parmley E2, Greer A2, Neiterman E1, Lambraki I1, Vanderheyden M1, Graells T3,4, Léger A5, Henriksson P4,6,7, Harbarth S8, Troell M4,6, Wernli D5, Søgaard Jørgensen P3,4, Carson C9, Majowicz S1","AffiliationsHtml":"
1Univeristy Of Waterloo, Waterloo ON, Canada
2Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada
3Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences,, Stockholm, Sweden
4Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
5Global Studies Institute, University of Geneva, Geneva, Switzerland
6Beijer Institute of Ecological Economics, Royal Swedish Academy of Sciences, Stockholm, Sweden
7WorldFish, Penang, Malaysia
8Infection Control Programme and WHO Collaborating Centre on Patient Safety, Geneva University Hospitals and Faculty of Medicine, Geneva Geneva, Switzerland
9Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph Ontario, Canada
"}],"DisplayName":"Melanie Cousins","TimeDisplay":null},{"ContactId":"5c4fec29-e18b-4224-ad71-b3e3fa7b2982","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ruth","LastName":"Cox","Position":"","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A large scale, long term study of the impact of disturbance on behaviour and disease dynamics in a wild badger population. ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"df6688a3-aa5c-4899-a218-4997338fc4f9","Html":null,"PlainText":"Badgers are involved in the transmission of Mycobacterium bovis, the causative agent of bovine tuberculosis (TB), to cattle in the UK. They have been culled under license since 2013 in parts of England in an attempt to reduce risks to cattle. However, culls have been linked to negative effects on TB in both species because of the enhanced movement of surviving badgers, which may give rise to opportunities for disease spread amongst badgers and to cattle. However, there is a lack of detailed information about the behavioural and demographic processes that drive disease dynamics in badger populations during and after such disturbance. Understanding the responses of badger populations to disturbance could inform the development of more effective long-term disease management strategies.

At Woodchester Park, SW England, a long-term study of badgers, ongoing since the 1970s, has generated a database of unrivalled detail on individual life-histories, including their TB status. In 2018 a badger cull began in the vicinity of the study area and since then data has been collected to assess the responses of this population.

Bespoke radio/GPS/proximity collars have been deployed on >50 badgers to collect data on badger movements. The GPS automatically records the badger position eight times per night, while the proximity feature records the length of time an animal contacts another collared animal. Collars have recorded up to 3000 contacts and up to 1400 locations per badger per year. On completion of data collection in spring 2022, analysis will enable us to determine how disturbance has impacted badger movement distance, contact rates and subsequent disease dynamics.

This intensive epidemiological study contributes to our understanding of disease spread in a socially structured wildlife population and enables us to address policy relevant knowledge gaps about disease management.

Keywords: wildlife, disease dynamics, population disturbance, bovine tuberculosis, badger
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"df6688a3-aa5c-4899-a218-4997338fc4f9","Title":"Dr.","FirstName":"Ruth","LastName":"Cox","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cox R"},{"PresentationId":"df6688a3-aa5c-4899-a218-4997338fc4f9","Title":null,"FirstName":"Rowena","LastName":"Staff","Position":"Field Ecologist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Staff R"},{"PresentationId":"df6688a3-aa5c-4899-a218-4997338fc4f9","Title":"Professor","FirstName":"Richard","LastName":"Delahay","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Delahay R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"df6688a3-aa5c-4899-a218-4997338fc4f9","Number":1,"Affiliation":"National Wildlife Management Centre, Animal and Plant Health Agency","City":"Stonehouse","State":"Gloucestershire","Country":"United Kingdom","AffiliationDisplay":"National Wildlife Management Centre, Animal and Plant Health Agency, Stonehouse Gloucestershire, United Kingdom"}],"AuthorsHtml":"Cox R1, Staff R1, Delahay R1","AffiliationsHtml":"
1National Wildlife Management Centre, Animal and Plant Health Agency, Stonehouse Gloucestershire, United Kingdom
"},{"Title":"Coronavirus surveillance in wildlife in the UK","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8a5da28b-79f0-439f-a126-4bd10b02d860","Html":null,"PlainText":"Since the start of the SARS-CoV-2 pandemic, there have been several cases of human to animal transmission, including some instances of transmission to free living wildlife such as deer and mink, with other species likely to follow. Establishment of infection reservoirs in wild animals would create significant challenges to infection control in humans and pose a threat to the welfare and conservation status of wildlife. Identification of species that are infected, or are at high risk of infection, can inform disease surveillance and management strategies.
We collected samples (oropharyngeal swabs and/or blood) from a range of wildlife species in Great Britain. Sampling was opportunistic, occurring during the course of existing research or management activities. Species sampled included badgers, foxes, mink, stoats, squirrels, bats and deer. Samples were screened for the presence of SARS-CoV-2 RNA (swabs) and antibodies (sera). In addition a risk ranking tool was developed, to systematically rank wildlife species according to the risk of SARS-CoV-2 exposure, susceptibility, transmission and subsequent impact. The user-friendly Excel tool considered more than fifteen criteria to rank species and incorporated expert opinion where necessary.
To date no samples have tested positive, however sampling is ongoing. Results will be updated in real-time and will inform updates to the risk ranking tool. Species at risk of exposure include those in close contact with humans during management activities. Species that rank more highly for susceptibility include those that express the ACE2 receptor. Criteria that result in a high ranking for transmission include those that exhibit clinical signs and those where host distribution, abundance and social behaviour enable spread.
Opportunistic sampling, and risk ranking provide important tools to aid early detection, to inform future targeted surveillance and to synthesise information in a rapidly changing epidemiological setting.

Keywords: SARS-CoV-2, wildlife, risk ranking, surveillance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8a5da28b-79f0-439f-a126-4bd10b02d860","Title":"Dr.","FirstName":"Ruth","LastName":"Cox","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cox R"},{"PresentationId":"8a5da28b-79f0-439f-a126-4bd10b02d860","Title":"Dr","FirstName":"Alexander","LastName":"Byrne","Position":"Coronavirus Research Team Leader","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Byrne A"},{"PresentationId":"8a5da28b-79f0-439f-a126-4bd10b02d860","Title":null,"FirstName":"Shweta","LastName":"Shukla","Position":"Scientific Officer","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Shukla S"},{"PresentationId":"8a5da28b-79f0-439f-a126-4bd10b02d860","Title":"Dr","FirstName":"Lorraine","LastName":"Mcelhinney","Position":"Head of Viral Zoonoses","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Mcelhinney L"},{"PresentationId":"8a5da28b-79f0-439f-a126-4bd10b02d860","Title":"Dr","FirstName":"Sharon","LastName":"Brookes","Position":"Lead Scientist in Virology","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Brookes S"},{"PresentationId":"8a5da28b-79f0-439f-a126-4bd10b02d860","Title":"Professor","FirstName":"Richard","LastName":"Delahay","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Delahay R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8a5da28b-79f0-439f-a126-4bd10b02d860","Number":1,"Affiliation":"National Wildlife Management Centre, Animal and Plant Health Agency","City":"Stonehouse","State":"Gloucestershire","Country":"United Kingdom","AffiliationDisplay":"National Wildlife Management Centre, Animal and Plant Health Agency, Stonehouse Gloucestershire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8a5da28b-79f0-439f-a126-4bd10b02d860","Number":2,"Affiliation":"Virology Department, Animal and Plant Health Agency","City":"Addlestone","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"Virology Department, Animal and Plant Health Agency, Addlestone Surrey, United Kingdom"}],"AuthorsHtml":"Cox R1, Byrne A2, Shukla S2, Mcelhinney L2, Brookes S2, Delahay R1","AffiliationsHtml":"
1National Wildlife Management Centre, Animal and Plant Health Agency, Stonehouse Gloucestershire, United Kingdom
2Virology Department, Animal and Plant Health Agency, Addlestone Surrey, United Kingdom
"}],"DisplayName":"Ruth Cox","TimeDisplay":null},{"ContactId":"69ce449a-e4be-4109-b856-855d768995a2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jessica","LastName":"Craig","Position":null,"Organization":"Purdue University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/15ce65467dba4342bd0ba2f530fb66b6","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Knowledge, Attitudes, and Practices regarding Antimicrobial Use, Resistance, and Stewardship among Human and Animal Health Stakeholders and the General Public in Africa","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"49c5e4fe-7ade-4dbc-a22f-49287dadcb7a","Html":null,"PlainText":"Objectives

Antimicrobial resistance (AMR) is an emerging one-health challenge. Insufficient awareness and knowledge of AMR and antimicrobial stewardship (AMS) may, in part, drive AMR. There is a relatively small evidence base describing knowledge, attitudes, and practices (KAP) of/towards AMR and its drivers. Our objective was to summarize KAP among key stakeholder groups in Africa to identify key gaps and challenges and inform policy, investment, and mitigation activities.

Materials & Methods

We developed and are disseminating KAP surveys among stakeholder groups involved in antimicrobial use (AMU) in Africa. These include human and animal health providers, chief veterinary officers, farmers and livestock owners, and the general public. Surveys take approximately 8-13 minutes to complete and include both closed and open responses, multiple choice, true/false, and likert scale question types. National surveying is being conducted in 55 African Union (AU) member states with targeted subnational surveying in 14 countries. Surveys were translated into AU official languages (Arabic, English, French, Spanish, and Portuguese) and are being disseminated through in-person, web-based, and computer-assisted telephone interviewing methodologies leveraging existing AU networks through which key national and facility- or community-level focal persons oversee surveying in specific communities. Sampling methodologies varied by stakeholder group and included snowball sampling and randomized phone number generation or household surveying. Descriptive, bivariate, and multivariate statistical analyses will be conducted using regression models to summarize KAP amongst Different groups and explore the risk factors for sub-optimal KAP. We will discuss the potential impact of bias caused by different sampling strategies.

Results

Data collection activities are ongoing in collaboration with the AU Taskforce on AMR; preliminary and full results are expected by April and May 2022, respectively.

Conclusion

To our knowledge, this is the most comprehensive survey regarding AMU and AMR in Africa to date.

Keywords: Antimicrobial resistance; antimicrobial stewardship; Africa; knowledge, attitudes, practices ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"49c5e4fe-7ade-4dbc-a22f-49287dadcb7a","Title":"Ms.","FirstName":"Jessica","LastName":"Craig","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Craig J"},{"PresentationId":"49c5e4fe-7ade-4dbc-a22f-49287dadcb7a","Title":"Mrs.","FirstName":"Wendy","LastName":"Beauvais","Position":"Assistant Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Beauvais W"},{"PresentationId":"49c5e4fe-7ade-4dbc-a22f-49287dadcb7a","Title":"Mr.","FirstName":"John","LastName":"Oppong-Otoo","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Oppong-Otoo J"},{"PresentationId":"49c5e4fe-7ade-4dbc-a22f-49287dadcb7a","Title":"Dr.","FirstName":"Yewande","LastName":"Alimi","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Alimi Y"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"49c5e4fe-7ade-4dbc-a22f-49287dadcb7a","Number":1,"Affiliation":"Purdue University","City":"Lafayette","State":"In","Country":"USA","AffiliationDisplay":"Purdue University, Lafayette In, USA"}],"AuthorsHtml":"Craig J1, Beauvais W, Oppong-Otoo J, Alimi Y","AffiliationsHtml":"
1Purdue University, Lafayette In, USA
"}],"DisplayName":"Jessica Craig","TimeDisplay":null},{"ContactId":"2e018065-9289-4bd0-9b2c-b86648a1d7f0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Shaina","LastName":"Craige","Position":"Science and Technology Policy Fellow","Organization":"American Association for the Advancement of Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Livestock Mass Vaccination during Humanitarian Responses","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a7409112-ef4e-47ed-bdd2-24e10511e2cb","Html":null,"PlainText":"While mass vaccination is often used as a tool to protect animal health, particularly in pastoral areas, when disasters such as drought impact livestock keepers, past studies have indicated that it is often unsuccessful in reducing disaster-related livestock morbidity and mortality rates. The limited impact of such projects has been attributed to weaknesses in the design and implementation of mass vaccination interventions. The purpose of this study is to review current knowledge and results of emergency livestock mass vaccination interventions so as to identify opportunities for improving approaches to preventative animal health as a vital component of responses to disasters in livestock keeping communities.
A review of the peer-reviewed literature in the past 20 years was conducted in Science Direct using a set of key terms related to livestock mass vaccination. In addition, using databases internal to the United States Agency for International Development’s (USAID) Bureau for Humanitarian Assistance (BHA), quantitative and qualitative statistics were used to identify the types of livestock mass vaccination protocols supported by BHA from 2015 through 2021.
The literature review yielded a total of 850 studies, of which <10% were found to be relevant to livestock mass vaccination protocols in a humanitarian context. The livestock mass vaccination protocols supported by BHA show significant gaps in the quality of reporting by partners. The lack of details reported in the peer-reviewed literature is indicative of the knowledge gap on this topic, perhaps because of the lack of emphasis on assessing and reporting the design and impacts of emergency interventions in the humanitarian community. However, the benefit-cost ratio of livestock vaccination can be high if vaccination protocols are well designed and implemented properly. Design must be based on well-defined objectives regarding the interruption of disease transmission in the target community and benefits to individual livestock owners.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a7409112-ef4e-47ed-bdd2-24e10511e2cb","Title":"Dr.","FirstName":"Shaina","LastName":"Craige","Position":"Science and Technology Policy Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Craige S"},{"PresentationId":"a7409112-ef4e-47ed-bdd2-24e10511e2cb","Title":"Dr.","FirstName":"Leslie","LastName":"Brooks","Position":"","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Brooks L"},{"PresentationId":"a7409112-ef4e-47ed-bdd2-24e10511e2cb","Title":"Ms.","FirstName":"Christine","LastName":"Jost","Position":"Senior Livestock Technical Advisor","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Jost C"},{"PresentationId":"a7409112-ef4e-47ed-bdd2-24e10511e2cb","Title":"Mr.","FirstName":"Joseph","LastName":"Tritschler","Position":"Livestock Technical Advisor","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Tritschler J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a7409112-ef4e-47ed-bdd2-24e10511e2cb","Number":1,"Affiliation":"American Association for the Advancement of Science","City":"Washington","State":"DC","Country":"USA","AffiliationDisplay":"American Association for the Advancement of Science, Washington DC, USA"}],"AuthorsHtml":"Craige S1, Brooks L, Jost C, Tritschler J","AffiliationsHtml":"
1American Association for the Advancement of Science, Washington DC, USA
"},{"Title":"Supporting Livestock Keepers and Pastoralists During Humanitarian Emergencies ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"263bba7c-3334-4376-82a0-ab7d65f718a9","Html":null,"PlainText":"When livestock keepers are affected by disasters, it is important to save lives, reduce suffering, and save livelihoods by providing humanitarian assistance appropriate to the context of impacted pastoralists, agro-pastoralists, and smallholder farmers. This is increasingly important as conflict and climate change associated shocks such as droughts and floods more frequently and disproportionately affect livestock keepers in low- and middle-income countries. In FY2020, USAID’s Bureau for Humanitarian Assistance (BHA) responded to over 100 disasters in 84 countries and territories with $7.1 billion in funding. Using databases internal to BHA, we used descriptive statistics to review the types of livestock-related humanitarian assistance supported from 2018 through 2021.

The vast majority (75%) of the 680 livestock-related responses supported by BHA during that time were in Africa, with half (49%) concentrated in six countries: Sudan, South Sudan, Somalia, Nigeria, Yemen and Ethiopia. Of these, common interventions included water supply (59%), provision of livestock (23%), provision of feeds (22%), veterinary services (20%), capacity building for veterinary paraprofessionals (16%), provision of veterinary pharmaceuticals (12%), fisheries and aquaculture (11%), livestock structures (6%), and destocking (1%). While 18% were designed to improve child and maternal nutrition, the majority were to support livelihoods during the emergency and recovery phases. In terms of support to veterinary services, mass vaccination (40%) and mass treatment (21%) campaigns were the most widely supported interventions.

It is important for humanitarian livestock specialists to work closely with other sectors to ensure well designed and integrated interventions appropriate to livestock livelihood contexts For example, while water supply is the most frequent ‘livestock-related’ intervention, the humanitarian objective is most often to provide water for household consumption. In these multi-use contexts, it is up to livestock specialists to ensure that public health is protected and livestock needs are also met.

Keywords: Humanitarian Assistance, Livestock, Pastoralist, Animal Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"263bba7c-3334-4376-82a0-ab7d65f718a9","Title":"Mr.","FirstName":"Joseph","LastName":"Tritschler","Position":"Livestock Technical Advisor","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Tritschler J"},{"PresentationId":"263bba7c-3334-4376-82a0-ab7d65f718a9","Title":"Dr.","FirstName":"Leslie","LastName":"Brooks","Position":"","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Brooks L"},{"PresentationId":"263bba7c-3334-4376-82a0-ab7d65f718a9","Title":"Dr.","FirstName":"Shaina","LastName":"Craige","Position":"Science and Technology Policy Fellow","Affiliations":null,"IsPresenting":true,"SortOrder":3,"DisplayName":"Craige S"},{"PresentationId":"263bba7c-3334-4376-82a0-ab7d65f718a9","Title":"Ms.","FirstName":"Christine","LastName":"Jost","Position":"Senior Livestock Technical Advisor","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Jost C"},{"PresentationId":"263bba7c-3334-4376-82a0-ab7d65f718a9","Title":"Dr","FirstName":"Terry","LastName":"Wollen","Position":"retired","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Wollen T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"263bba7c-3334-4376-82a0-ab7d65f718a9","Number":1,"Affiliation":"United States Agency for International Development","City":"Washington","State":"DC","Country":"USA","AffiliationDisplay":"United States Agency for International Development, Washington DC, USA"}],"AuthorsHtml":"Tritschler J1, Brooks L, Craige S, Jost C, Wollen T","AffiliationsHtml":"
1United States Agency for International Development, Washington DC, USA
"}],"DisplayName":"Shaina Craige","TimeDisplay":null},{"ContactId":"217c49c6-589c-432c-aa87-3a9925f131c5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nicola","LastName":"Criscuolo","Position":"Ph.d. Student","Organization":"ETH Zürich","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fd5a3d47e2c24b53b8d3223994d82d31","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"resistancebank.org, an open access repository for surveys of antimicrobial resistance in animals","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"656c86b3-a729-4d2e-b7be-786b63e48b62","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.E - Surveillance and Monitoring","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"4b7fa65b-1a17-4da4-9cde-de55e0582632","Html":null,"PlainText":"Objective
Antimicrobial resistance is a growing threat to the health of humans and animals that requires global actions. In low- and middle-income countries, demand for meat is rising, and developing policies against antimicrobial resistance is urgent. However, surveillance of antimicrobial resistance in most of these countries is at best nascent. For this reason, in the short term, efforts to target investments in low and middle-income countries against antimicrobial resistance could be informed by point-prevalence surveys. In the absence of systematic surveillance systems, point-prevalence surveys could be used to document trends in antimicrobial resistance in food animals. We developed the platform resistancebank.org as an online tool to centralizes information on antimicrobial resistance in food animals from point-prevalence surveys.

Materials and Methods
The platform was developed as an online Shiny application using the R programming language, CSS, and JavaScript, and it is accessible from all major web browsers at https://resistancebank.org.

Results
resistancebank.org provides access to 2,132 point-prevalence surveys from low- and middle-income countries. Surveys were conducted between 2000 and 2021 and include 43,039 resistance rates for pathogens isolated from livestock (chicken, pigs, cattle, sheep) and freshwater and marine fishery. Users have access to complete and filtered databases, country-level reports, and large-scale maps at 10x10 kilometers resolution showing areas where resistance is rising.

Conclusions
The platform summarises current knowledge on antimicrobial resistance in animals and provides a tool for strengthening its evidence-based surveillance by allowing users to upload additional point-prevalence surveys. Locally, resistancebank.org aims to be a focal point for sharing antimicrobial resistance data and to encourage epidemiological investigations by field officers from every part of the world. Globally, resistancebank.org offers the opportunity to prioritize actions of international funders to investigate and tackle antimicrobial resistance in areas identified as hotspots of resistance.

Keywords
antimicrobial resistance
spatial epidemiology
point-prevalence surveys
shiny app
food animals
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4b7fa65b-1a17-4da4-9cde-de55e0582632","Title":"Mr.","FirstName":"Nicola","LastName":"Criscuolo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Criscuolo N"},{"PresentationId":"4b7fa65b-1a17-4da4-9cde-de55e0582632","Title":"Ms.","FirstName":"Cheng","LastName":"Zhao","Position":"Ph.D. student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Zhao C"},{"PresentationId":"4b7fa65b-1a17-4da4-9cde-de55e0582632","Title":"Dr.","FirstName":"João","LastName":"Pires","Position":"Post-doc","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Pires J"},{"PresentationId":"4b7fa65b-1a17-4da4-9cde-de55e0582632","Title":"Prof.","FirstName":"Thomas","LastName":"Van Boeckel","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Van Boeckel T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4b7fa65b-1a17-4da4-9cde-de55e0582632","Number":1,"Affiliation":"Eth Zürich","City":"Zurich","State":"Zurich","Country":"Switzerland","AffiliationDisplay":"Eth Zürich, Zurich Zurich, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4b7fa65b-1a17-4da4-9cde-de55e0582632","Number":2,"Affiliation":"Center for Disease Dynamics, Economics, and Policy","City":"New Delhi","State":"National Capital Territory of Delhi","Country":"India","AffiliationDisplay":"Center for Disease Dynamics, Economics, and Policy, New Delhi National Capital Territory of Delhi, India"}],"AuthorsHtml":"Criscuolo N1, Zhao C1, Pires J1, Van Boeckel T1","AffiliationsHtml":"
1Eth Zürich, Zurich Zurich, Switzerland
2Center for Disease Dynamics, Economics, and Policy, New Delhi National Capital Territory of Delhi, India
"}],"DisplayName":"Nicola Criscuolo","TimeDisplay":null},{"ContactId":"8b09d966-444d-40bf-a95d-27dfe17ea9e7","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kayleigh","LastName":"Crouch","Position":"PhD Student","Organization":"University of Bristol","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cfeee335b2f2459db1763e8b7c33f97d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Exploring the use of complementary and alternative approaches to health care on UK dairy farms","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"2e5cf67a-5559-422f-9a78-2d83d80d539c","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"feff9a46-82f0-45f1-8318-69ac7d981296","Html":null,"PlainText":"Exploration into the use of complementary and alternative medicine is warranted to 1) determine if CAM use has potential to reduce unnecessary antibiotic use and support the global efforts against antimicrobial resistance and 2) to ensure that antimicrobials and other conventional treatment approaches are used where appropriate.

Interviews were conducted with 24 farmers through face-to-face, telephone and videoconferencing modalities necessitated by movement restrictions during the Covid-19 pandemic. 16 farms were visited to collect observational data using ethnographic fieldnotes and photographs. Interviews were conducted using a topic guide and explored participants’ experience of CAM including drivers/barriers to CAM use, experiences of CAM and how CAM might influence the use of conventional medicines such as antibiotics. Participant observation involved collecting data on conventional and CAM medicine storage, CAM usage and farm management systems. Data were analysed using thematic analysis assisted by NViVo.

Several drivers existed for UK dairy farmers to use CAM approaches, including their own personal [or friends’ and relations’] experiences, the views of influential people and advisors, networks within the farming community and the fact that CAM use allows a greater sense of autonomy in health-based decision making. Farmers also frequently referred to their motivation to reduce antimicrobial use as a drive to explore CAM. Milk buyers, organic guidelines a desire to ‘do something’ for the animal were also highlighted as reasons why farmers use CAM. Farmers associated the use of CAM approaches with other holistic health management practices, human-animal interactions, the actual character of an animal and animal welfare; suggesting that CAM use is seen as part of wider ethos and belief about medicine use.

Encouraging more open discussion surrounding the use of CAM on dairy farms might help to identify ways in which dairy farmers can reduce their antimicrobial use in a responsible way, with veterinary support.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"feff9a46-82f0-45f1-8318-69ac7d981296","Title":"Ms.","FirstName":"Kayleigh","LastName":"Crouch","Position":"PhD Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Crouch K"},{"PresentationId":"feff9a46-82f0-45f1-8318-69ac7d981296","Title":"Doctor","FirstName":"Christie","LastName":"Cabral","Position":"Senior Research Fellow","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Cabral C"},{"PresentationId":"feff9a46-82f0-45f1-8318-69ac7d981296","Title":"Doctor","FirstName":"Helen","LastName":"Cramer","Position":"Senior Research Fellow","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Cramer H"},{"PresentationId":"feff9a46-82f0-45f1-8318-69ac7d981296","Title":"Doctor","FirstName":"Gwen","LastName":"Rees","Position":"Lecturer in Vet Science","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Rees G"},{"PresentationId":"feff9a46-82f0-45f1-8318-69ac7d981296","Title":"Professor","FirstName":"Debbie","LastName":"Sharp","Position":"Professor of Primary Health Care","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Sharp D"},{"PresentationId":"feff9a46-82f0-45f1-8318-69ac7d981296","Title":"Professor","FirstName":"David","LastName":"Barrett","Position":"Professor of Bovine Medicine","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Barrett D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"feff9a46-82f0-45f1-8318-69ac7d981296","Number":1,"Affiliation":"University Of Bristol","City":"Bristol","State":"England","Country":"United Kingdom","AffiliationDisplay":"University Of Bristol, Bristol England, United Kingdom"}],"AuthorsHtml":"Crouch K1, Cabral C, Cramer H, Rees G, Sharp D, Barrett D","AffiliationsHtml":"
1University Of Bristol, Bristol England, United Kingdom
"}],"DisplayName":"Kayleigh Crouch","TimeDisplay":null},{"ContactId":"ef2327eb-3242-4268-a4e3-9a787e24f8f9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Guillaume","LastName":"Crozet","Position":"Lecturer / Phd Student","Organization":"Anses, Ecole Nationale Vétérinaire d’Alfort, Laboratoire de Santé Animale USC EPIMAI","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7c5172ece4ae4d3387b565f9eb65a657","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"How to effectively prevent rabies introduction through dog and cat movements into rabies-free areas? A modeling study","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"770ebe47-1f48-44bc-92c3-0bcde88690e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.C - Risk Assessment","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Html":null,"PlainText":"1. Objective(s): Rabies introductions in areas free of terrestrial rabies, especially through dog and cat movements, pose a threat by exposing local animal and human populations and because of the possibility of a subsequent spread. Several management measures can be implemented to reduce the introduction probability, such as anti-rabies pet vaccination, serological test to assess efficacy of the vaccination or a waiting period before importation (to ensure that antibodies are linked to the vaccine and not infectious). The interest of these measures which follow current regulatory prescriptions remains to be studied.

2. Materials and methods: Through a stochastic modeling approach using scenario trees, with the baseline case of France, we quantitatively assessed the risk of rabies introduction in a rabies-free area through pet movements and the impact of previously mentioned management measures aiming at reducing rabies risk along with the associated compliance.

3. Results: Vaccination contributed the most to risk reduction (16-fold risk increase when removed) while serological test had a moderate impact (2-fold risk increase when removed) (Figure 1). The waiting period had a negligible impact on rabies risk reduction. Lack of compliance (especially regarding vaccination) also contributed to increase the risk.

4. Conclusion: Results indicated that vaccination was the most important measure of the current regulation. Promoting respect of this measure thus appears crucial. Promoting serological testing for high risk countries is probably secondary and the waiting period before importations could be reconsidered due to its negligible impact (in addition to low acceptability).

Keywords: rabies; risk; introduction; prevention
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/76a70555ba1f49f2a982f1f7ed38bc6a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Title":"Dr.","FirstName":"Guillaume","LastName":"Crozet","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Crozet G"},{"PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Title":"Dr.","FirstName":"Julie","LastName":"Rivière","Position":"[email protected]","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Rivière J"},{"PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Title":"Dr.","FirstName":"Elisa","LastName":"Rapenne","Position":"[email protected]","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Rapenne E"},{"PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Title":"Dr.","FirstName":"Florence","LastName":"Cliquet","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Cliquet F"},{"PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Title":"Dr.","FirstName":"Emmanuelle","LastName":"Robardet","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Robardet E"},{"PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Title":"Pr.","FirstName":"Barbara","LastName":"Dufour","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Dufour B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Number":1,"Affiliation":"Anses, Ecole Nationale Vétérinaire d’Alfort, Laboratoire de Santé Animale USC EPIMAI","City":"Maisons-Alfort","State":null,"Country":"France","AffiliationDisplay":"Anses, Ecole Nationale Vétérinaire d’Alfort, Laboratoire de Santé Animale USC EPIMAI, Maisons-Alfort, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Number":2,"Affiliation":"Ecole Nationale des Services Vétérinaires, VetAgro Sup","City":"Marcy-l'Etoile","State":null,"Country":"France","AffiliationDisplay":"Ecole Nationale des Services Vétérinaires, VetAgro Sup, Marcy-l'Etoile, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cf1b8d40-e32f-488b-88d5-75efd56159f5","Number":3,"Affiliation":"Nancy OIE/WHO/EU Laboratory for Rabies and Wildlife, Anses","City":"Malzéville","State":null,"Country":"France","AffiliationDisplay":"Nancy OIE/WHO/EU Laboratory for Rabies and Wildlife, Anses, Malzéville, France"}],"AuthorsHtml":"Crozet G1, Rivière J1, Rapenne E1,2, Cliquet F3, Robardet E3, Dufour B1","AffiliationsHtml":"
1Anses, Ecole Nationale Vétérinaire d’Alfort, Laboratoire de Santé Animale USC EPIMAI, Maisons-Alfort, France
2Ecole Nationale des Services Vétérinaires, VetAgro Sup, Marcy-l'Etoile, France
3Nancy OIE/WHO/EU Laboratory for Rabies and Wildlife, Anses, Malzéville, France
"}],"DisplayName":"Guillaume Crozet","TimeDisplay":null},{"ContactId":"945b3472-3a2a-4085-a1e8-72843a1ca0fe","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Laura","LastName":"Cunha Silva","Position":"Ecvph Resident","Organization":"Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Switzerland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Habitat Selection by Free-Roaming Domestic Dogs in Rabies Endemic Countries ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f002cad3-f498-4110-84d2-a3d16319c66f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.B - Disease Control and Eradication Programs","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Html":null,"PlainText":"Domestic dog bites are the source for 99% of human rabies cases worldwide, and these occur in resource-poor countries where dogs are predominantly kept free-roaming. Understanding how dogs roam and their preferred locations to inhabit, can inform decision-makers about possible high-risk locations for rabies spread, and allow targeting these habitats to locate the dogs during parenteral or oral vaccination campaigns.
In the current study, we analysed habitat selection of 321 free-roaming domestic dogs (FRDD) from five study sites (two urban and three rural areas) in Indonesia and Guatemala, two countries where canine rabies is still endemic. We used GPS telemetry devices to track most preferred locations of FRDD over time, and applied spatial mixed effects logistic regression models to identify their pattern of habitat selection in relation to anthropogenic (e.g. buildings, roads) and geographical characteristics (e.g. vegetation coverage, slope) in a rural and urban landscape.
The results disclosed a similar pattern of habitat selection by FRDD, independent of country and landscape. The most preferred locations were buildings and roads. FRDD were significantly less often present in vegetation compared to buildings and roads. We also investigated how the slope of the area influences presence of dogs and found that FRDD clearly avoid steep terrains, favoring flatter topography.
This study can inform the planning of campaigns for oral vaccination of FRDD, a strategy recently presenting efficiency to target dogs inaccessible for parenteral vaccination, and that may be required to sustainably eradicate canine rabies by 2030. Our findings also contribute to the understanding of FRDDs' choices within their living area and can be employed to better planning of both oral and parental vaccination campaigns, leading to more efficient resource allocation in rabies afflicted countries, and higher vaccination coverage.

Keywords: Free-roaming domestic dogs; Dog-mediated rabies; Habitat selection; GPS telemetry","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Title":"Miss","FirstName":"Laura","LastName":"Cunha Silva","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cunha Silva L"},{"PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Title":"Mr.","FirstName":"B.","LastName":"Friker","Position":"Scientific Associate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Friker B"},{"PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Title":"Dr.","FirstName":"C.","LastName":"Warembourg","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Warembourg C"},{"PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Title":"Dr.","FirstName":"Kaushi","LastName":"Kanankege","Position":"Researcher","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Kanankege K"},{"PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Title":"Dr.","FirstName":"E.","LastName":"Wera","Position":"Senior Lecturer","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Wera E"},{"PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Title":"Dr.","FirstName":"Salome","LastName":"Dürr","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Dürr S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Number":1,"Affiliation":"Veterinary Public Health Institute, Vetsuisse Faculty,University of Bern","City":"Bern","State":"Bern","Country":"Switzerland","AffiliationDisplay":"Veterinary Public Health Institute, Vetsuisse Faculty,University of Bern, Bern Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Number":2,"Affiliation":"Department of Population Medicine, College of Veterinary Medicine, University of Minnesota","City":"Minneapolis","State":"Minnesota","Country":"United States","AffiliationDisplay":"Department of Population Medicine, College of Veterinary Medicine, University of Minnesota, Minneapolis Minnesota, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"85e0e538-f383-4943-8303-0fdbd29eabeb","Number":3,"Affiliation":"Kupang State Agricultural Polytechnic (Politeknik Pertanian Negeri Kupang)","City":"Kupang ","State":"West Timor","Country":"Indonesia ","AffiliationDisplay":"Kupang State Agricultural Polytechnic (Politeknik Pertanian Negeri Kupang), Kupang West Timor, Indonesia "}],"AuthorsHtml":"Cunha Silva L1, Friker B1, Warembourg C1, Kanankege K2, Wera E3, Dürr S1","AffiliationsHtml":"
1Veterinary Public Health Institute, Vetsuisse Faculty,University of Bern, Bern Bern, Switzerland
2Department of Population Medicine, College of Veterinary Medicine, University of Minnesota, Minneapolis Minnesota, United States
3Kupang State Agricultural Polytechnic (Politeknik Pertanian Negeri Kupang), Kupang West Timor, Indonesia
"}],"DisplayName":"Laura Cunha Silva","TimeDisplay":null},{"ContactId":"4126fb41-f149-437f-9dc1-ce2dfc6db0de","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Laurence","LastName":"Daigle","Position":"","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Understanding Knowledge, Attitudes and Practices regarding Dog bites in Indigenous Northern Communities: A Mixed-Methods Study","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7082b1df-8fb3-4669-8939-cc0d9df1a51e","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.B - Complex Systems Approach","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Html":null,"PlainText":"Context: The singular relationship developed over the years between northern Indigenous peoples and dogs has been profoundly changed through historical trauma, settlement and democratization of snowmobiling. Issues related to dogs have become increasingly complex and worrisome with the endemic presence of rabies virus among arctic fox populations and given that northern Indigenous people may have a higher risk of dog bites than the rest of the population.

Objective: This study aims to characterize and quantify factors that have an impact on dog bites in the context of Naskapi and Innu communities located in northern Quebec (Canada).

Methods: A mixed-methods study design that combined an explanatory observational cross-sectional survey and individual interviews was used in the Naskapi and in an Innu communities in Northern Quebec. The survey collected data on knowledge, attitudes and practices regarding dogs and dog bites amongst 122 inhabitants. Individual interviews (n=37) were then conducted with three groups of inhabitants: victims of dog bites, owners of dogs that have bitten a person before, and health professionals.

Results: Results highlighted that 21% of respondents have had a dog bite in their lifetime. A majority of respondents did not know whether they were at risk of contracting rabies or not. The odds of being more knowledgeable of rabies were higher (OR = 1.073, 95% CI = 1.071-7.979) among young adults. Interviews have showed that people consider the children more at risk of being bitten, and revealed the need for more veterinary services and educational programs about dogs not only for children, but also for adults.

Conclusion: This study provides important knowledge key to prioritize measures to reduce public health risks of dogs in northern Quebec. More broadly, it provides essential knowledge for the development of interventions adapted to the particularities of northern Indigenous communities.

Dog bites, epidemiology, Indigenous, northern community","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Title":"Miss","FirstName":"Laurence","LastName":"Daigle","Position":null,"Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Daigle L"},{"PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Title":"Professor","FirstName":"André","LastName":"Ravel","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ravel A"},{"PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Title":null,"FirstName":"Audrey","LastName":"Simon","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Simon A"},{"PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Title":null,"FirstName":"Yves","LastName":"Rondenay","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Rondenay Y"},{"PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Title":"Professor","FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Professor","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Aenishaenslin C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Number":1,"Affiliation":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Number":2,"Affiliation":"Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Number":3,"Affiliation":"Centre de recherche en santé publique de l’Université de Montréal et du CIUSSS du Centre-Sud-de-l’île-de-Montréal","City":"Montréal","State":"QC","Country":"Canada","AffiliationDisplay":"Centre de recherche en santé publique de l’Université de Montréal et du CIUSSS du Centre-Sud-de-l’île-de-Montréal, Montréal QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36c39abb-8187-4be4-944f-977dfc2d07ed","Number":4,"Affiliation":"Centre Hospitalier Universitaire Vétérinaire, Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Centre Hospitalier Universitaire Vétérinaire, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada"}],"AuthorsHtml":"Daigle L1,2,3, Ravel A1, Simon A1,2, Rondenay Y4, Aenishaenslin C1,2,3","AffiliationsHtml":"
1Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada
2Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada
3Centre de recherche en santé publique de l’Université de Montréal et du CIUSSS du Centre-Sud-de-l’île-de-Montréal, Montréal QC, Canada
4Centre Hospitalier Universitaire Vétérinaire, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada
"}],"DisplayName":"Laurence Daigle","TimeDisplay":null},{"ContactId":"fc5e373b-0272-4e5b-a980-70a4f0ce9fa1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Natcha","LastName":"Dankittipong","Position":"","Organization":"Utrecht University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"CPE transmission is slower than ESBL transmission with and without amoxicillin treatment. ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5da4f287-44c4-404e-a37e-299c84824159","Html":null,"PlainText":"Carbapenemase-producing Enterobacteriaceae (CPE) resistant lead to therapeutic failure in hospitals. CPE are emerging worldwide in non-clinical settings including livestock populations. Data on CPE presence in these non-clinical settings are, however, scarce and therefore the epidemiology of other bacteria with plasmid-encoded resistance (pAMR), such as Extended-spectrum beta-lactamase producing E. coli (ESBL) are used to infer CPE risks. To test the validity of using transmission parameters of bacteria containing other pAMR for CPE, we placed 120 one-day-old conventional broilers in 12 pens.
Half of broilers in six pens were treated with amoxicillin for five days. On the last day of antibiotic treatment, 5 chicks in each pen were challenged with non-pAMR E. coli, CPE, or ESBL. Cloacal swabs of all animals were collected during 12 days. A Bayesian hierarchical model was used to quantify the environmental transmission of CPE and ESBL.

The transmission of CPE was lower than that of ESBL and non-pAMR E. coli with or without amoxicillin treatment. No difference was found between non-pAMR E. coli and ESBL in the amoxicillin treatment (Figure 1). To our knowledge we are the first to quantify the transmission rate of CPE in broilers and we demonstrated that it is lower than the transmission rate of ESBL. Transmission of both pAMR are not comparable, warranting the need for data on CPE transmission. The use of Bayesian models in the analysis of transmission experiments presents a method for estimation of parameters of more complex transmission models with limited data.

Keywords: transmission experiment, Bayesian hierarchical model, broiler, CPE, ESBL, antibiotic treatment
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1Utrecht University, Utrecht Utrecht, The Netherlands
2Wageningen Bioveterinary Research, Lelystad Lelystad, The Netherlands
"}],"DisplayName":"Natcha Dankittipong","TimeDisplay":null},{"ContactId":"50ed4a01-0b2d-448c-9bc2-71d62505ea9e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Liesl","LastName":"De Boni","Position":"Chief State Vet: Epidemiology","Organization":"Gauteng Veterinary Services","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The status of bovine brucellosis in Gauteng Province, South Africa","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"691eb95b-8e83-4402-9e57-b3af198eba14","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"c255efd7-11a4-444a-bca2-3865b0c3c032","Html":null,"PlainText":"Gauteng Province, South Africa, is an endemic area for bovine brucellosis where an official control program has existed for >30 years. Gauteng Veterinary Services conducted a serological survey to estimate the herd and individual prevalence of bovine brucellosis and explore possible risk factors for disease spread.

Randomly selected herds were sampled in a cross-sectional survey, in 2019–2020. We collected serum specimens and completed an epidemiological questionnaire for eligible herds. Sera from all qualifying cows were screened for Brucella antibodies by Rose Bengal test and positive sera were confirmed with complement fixation test. A cut-off for individual seropositivity, CFT titre ≥30 IU/ml, was applied. Prevalence estimates were calculated, and multivariable logistic analysis was done to assess predictors for herd and individual positivity, using Stata v15.

We sampled 254 herds (9111 cattle) and estimated herd prevalence of 13.6% (95% CI: 9.8–18.4%) and cattle prevalence of 1.7% (95% CI: 1.5–2.0%). Within-herd prevalence was 8.9% (95% CI: 7.6–10.3%). Positive herds were more likely to be large [OR: 4.8 (1.8–12.8)], share grazing land [OR: 3.9 (1.7–8.7)], or not be vaccinated [OR: 2.9 (1.2–6.8)]. Individual seropositivity was also associated with herds sharing grazing land [OR: 4.2 (1.8–9.9)] and not being vaccinated [OR: 1.9 (1.0–3.8)], but isolation and testing of introductions was protective [OR: 0.1 (0.0–0.3)].

Brucellosis eradication is achievable with recognised control measures, but progress in South Africa has stagnated with poor compliance and enforcement of such measures. Cattle prevalence in Gauteng Province was lower than other endemic sub-Saharan African countries. This makes it a promising area to use as a trial for area elimination in the African context. However various hurdles including resources, farmer awareness, cross-sector commitment, and incentivisation remain, and must be addressed with all stakeholders.

Keywords: brucellosis; Brucella; B. abortus; prevalence; serology.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c255efd7-11a4-444a-bca2-3865b0c3c032","Title":"Dr.","FirstName":"Liesl","LastName":"De Boni","Position":"Chief State Vet: Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"De Boni L"},{"PresentationId":"c255efd7-11a4-444a-bca2-3865b0c3c032","Title":"Dr","FirstName":"Adriana","LastName":"Grobler","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Grobler A"},{"PresentationId":"c255efd7-11a4-444a-bca2-3865b0c3c032","Title":"Dr","FirstName":"Dumakude","LastName":"Mpofu","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Mpofu D"},{"PresentationId":"c255efd7-11a4-444a-bca2-3865b0c3c032","Title":"Dr","FirstName":"Jaison","LastName":"Mpofu","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Mpofu J"},{"PresentationId":"c255efd7-11a4-444a-bca2-3865b0c3c032","Title":"Dr","FirstName":"Peter","LastName":"Geertsma","Position":"Deputy Director: Epidemiology, Biosecurity and Laboratory","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Geertsma P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c255efd7-11a4-444a-bca2-3865b0c3c032","Number":1,"Affiliation":"Gauteng Veterinary Services","City":"Johannesburg","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Gauteng Veterinary Services, Johannesburg Gauteng, South Africa"}],"AuthorsHtml":"De Boni L1, Grobler A1, Mpofu D1, Mpofu J1, Geertsma P1","AffiliationsHtml":"
1Gauteng Veterinary Services, Johannesburg Gauteng, South Africa
"}],"DisplayName":"Liesl De Boni","TimeDisplay":null},{"ContactId":"10f14775-92ea-4c1c-908a-f3106c1d9c93","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ellen","LastName":"De Jong","Position":"Phd Candidate","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Effect of selective clinical mastitis treatments on cure, somatic cell count, recurrence and culling: systematic review and meta-analysis","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"1410ca0d-b8f8-4891-ba3d-4007cd4e8b2d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.B - AMU","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Html":null,"PlainText":"Objectives. Clinical mastitis (CM) treatments greatly contribute to antimicrobial use on dairy farms. Selective treatment of CM can reduce antimicrobial use, as only CM cases identified as Gram-positive benefit of antimicrobial treatment. Impacts of selective CM treatment on udder health and culling are not fully understood.

Methods. A systematic search identified 12 studies that compared selective versus blanket CM treatment protocols. Reported outcomes were synthesised with random-effects models and presented as risk ratios (RR) or mean differences (MD) with their 95% confidence intervals (CI).

Results. A selective treatment protocol of CM was not inferior to a blanket treatment protocol for bacteriological cure (RR 1.09; 95% CI: 0.87 – 1.36). Cases in the selective treatment group experienced a higher clinical cure within 14 d (RR 0.75; 95% CI: 0.58 – 0.97) and 0.4 d longer till clinical cure (95% CI: 0.19 – 0.69), but these results were confounded by co-administration of NSAIDs in this group compared with no use of NSAIDs in the blanket treatment group. Furthermore, there was no difference between selective and blanket treated CM cases for: proportion that developed another intramammary infection within 21 d (RR 0.96; 95% CI: 0.81 – 1.14), proportion with high somatic cell count after 21 d (RR 1.00, 95% CI: 0.94 – 1.06), average somatic cell score (MD 0.03; 95% CI: -0.23 – 0.29), average milk yield (MD 0.25, 95% CI: -1.05 – 1.56), recurrence (RR 0.91; 95% CI: 0.73 – 1.13) and culling (RR 0.96; 95% CI: 0.78 – 1.18). However, for these parameters non-inferiority margins could not be determined.

Conclusions. When comparing cows treated with a selective to a blanket CM treatment protocol, no differences were identified in bacteriological cure, clinical cure, intramammary infection risk, milk yield, somatic cell count, recurrence, and culling. Available data support that a selective CM treatment protocol can be adopted without negative udder health consequences.

Keywords: Antimicrobial stewardship, on-farm culture, clinical mastitis, selective treatment, dairy cows","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Title":"Ms.","FirstName":"Ellen","LastName":"De Jong","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"De Jong E"},{"PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Title":"Dr.","FirstName":"L.","LastName":"Creytens","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Creytens L"},{"PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Title":"Ms.","FirstName":"Kayley","LastName":"McCubbin","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"McCubbin K"},{"PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Title":"Dr.","FirstName":"S.","LastName":"De Vliegher","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"De Vliegher S"},{"PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Kelton D"},{"PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Barkema H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Number":1,"Affiliation":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Number":2,"Affiliation":"M-team & Mastitis and Milk Quality Research Unit, Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University","City":"Merelbeke","State":null,"Country":"Belgium","AffiliationDisplay":"M-team & Mastitis and Milk Quality Research Unit, Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"30e7e1ed-b3cd-41a1-840e-d3299c7b63c1","Number":3,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"De Jong E1, Creytens L2, McCubbin K1, De Vliegher S2, Kelton D3, Barkema H1","AffiliationsHtml":"
1Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada
2M-team & Mastitis and Milk Quality Research Unit, Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
3Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada
"}],"DisplayName":"Ellen De Jong","TimeDisplay":null},{"ContactId":"e4498241-460c-4edb-a464-96132fad9e4a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tais","LastName":"De Menezes","Position":"","Organization":"University of Sao Paulo","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b4499344ce13476fbf80eba204c5f12c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Effects of Foot-and-Mouth Disease on the Brazilian Economy: A Computable General Equilibrium Analysis","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"73285516-2681-481f-b5a8-7a82b6231c66","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"8f316225-87a7-4f09-8cb5-7f17cd6cb98c","Html":null,"PlainText":"Foot-and-mouth disease (FMD) outbreaks cause substantial economic impacts as a result of animal slaughter, increased government spending on control, eradication and surveillance measures, and bans on international trade. In this sense, this study employs a computable general equilibrium (CGE) model to answer the following question: What are the economic effects of an FMD outbreak in Brazil?
Two CGE models are used: the GTAP model – for an evaluation of international trade effects – and the TERM-BR model – to assess the impacts of outbreaks on different Brazilian regions. The results from an epidemiological model for FMD in Brazil are used to estimate the potential cattle production loss and the costs of animal slaughter, carcass disposal, emergency vaccination, cleaning and disinfection, and indemnification. FMD-induced productivity losses in tandem with international trade restrictions imposed on livestock and meat sectors are applied as exogenous shocks in the economic models to assess which sectors of the Brazilian economy would be most affected by the initial shocks caused by the outbreaks and the extent of these effects.
The preliminary results of the study show a negative welfare effect between US$219.29 million and US$356.07 million on the Brazilian economy if an FMD outbreak happened, depending on whether or not the principle of regionalization is applied by the international market. The output of the beef and pork sectors would decline in 2.47% and 9.30%, respectively.
This study expands the rich literature on the economics of animal disease by simulating the economic implications of FMD outbreaks in Brazil and highlights the importance of maintaining the health of Brazilian herds, especially when considering Brazil's position as one of the main meat suppliers in the international market. Understanding the impacts of FMD in Brazil is important for formulating disease mitigation policies in the event of an outbreak.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8f316225-87a7-4f09-8cb5-7f17cd6cb98c","Title":"Miss","FirstName":"Tais","LastName":"De Menezes","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"De Menezes T"},{"PresentationId":"8f316225-87a7-4f09-8cb5-7f17cd6cb98c","Title":"Dr","FirstName":"Joaquim Bento","LastName":"Ferreira Filho","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ferreira Filho J"},{"PresentationId":"8f316225-87a7-4f09-8cb5-7f17cd6cb98c","Title":"Dr","FirstName":"Amanda","LastName":"Countryman","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Countryman A"},{"PresentationId":"8f316225-87a7-4f09-8cb5-7f17cd6cb98c","Title":"Dr","FirstName":"Fernando","LastName":"Ferreira","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Ferreira F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f316225-87a7-4f09-8cb5-7f17cd6cb98c","Number":1,"Affiliation":"University Of Sao Paulo","City":"Piracicaba","State":"Sao Paulo","Country":"Brazil","AffiliationDisplay":"University Of Sao Paulo, Piracicaba Sao Paulo, Brazil"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f316225-87a7-4f09-8cb5-7f17cd6cb98c","Number":2,"Affiliation":"Colorado State University","City":null,"State":null,"Country":"USA","AffiliationDisplay":"Colorado State University, USA"}],"AuthorsHtml":"De Menezes T1, Ferreira Filho J1, Countryman A2, Ferreira F1","AffiliationsHtml":"
1University Of Sao Paulo, Piracicaba Sao Paulo, Brazil
2Colorado State University, USA
"}],"DisplayName":"Tais De Menezes","TimeDisplay":null},{"ContactId":"795b3ee7-2a3f-4294-a8af-75995d890f20","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gary","LastName":"Delalay","Position":"","Organization":"Swiss Federal Food Safety and Veterinary Office","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Lessons learned about the organization of a large-scale exercise against African Swine Fever in Switzerland","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Html":null,"PlainText":"Since African Swine Fever (ASF) was first detected on the European continent in 2007, it has continued to spread. In 2020, ASF was detected for the first time in Germany, where it has sustained since and been isolated both in wild boars and domestic pigs. In 2022, ASF was also detected in wild boars in continental Italy. Therefore, Switzerland decided to test its readiness to react to an ASF outbreak within its borders and organized an exercise involving the veterinary services and other partners of the whole country.

Switzerland had already experience for organizing large-scale exercises of epizootic outbreaks. However, ASF differs from other classical epizootics in a few aspects. ASF is a disease that has a slow spread with sudden, long leaps. It makes the elaboration of scenario for a national exercise involving all the administrative regions at the same time challenging. Furthermore, an ASF outbreak differentiates itself by the fact that wildlife stands in focus. That means that veterinary services have to cooperate with many different services, such as agriculture, environment and hunting departments.

In this presentation, we want to describe the goals that were fixed for the exercise and how the scenario was elaborated to consider them. We also want to present the lessons learned about the planning of such an exercise, involving multiple regions and multiple partners.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Title":"Dr.","FirstName":"Gary","LastName":"Delalay","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Delalay G"},{"PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Title":"Dr.","FirstName":"Susanne","LastName":"Küker","Position":"Consultant","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Küker S"},{"PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Title":"Dr.","FirstName":"Kaspar","LastName":"Jörger","Position":"Member of the executive board","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Jörger K"},{"PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Title":"Dr.","FirstName":"Sascha","LastName":"Quaile","Position":"Cantonal veterinarian both Appenzell","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Quaile S"},{"PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Title":"Dr.","FirstName":"Yuval","LastName":"Tempelman","Position":"Head of section of specialist applications","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Tempelman Y"},{"PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Title":null,"FirstName":"Martin","LastName":"Haller","Position":"Scientific associate","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Haller M"},{"PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Title":"Dr.","FirstName":"Lukas","LastName":"Perler","Position":"Manager","Affiliations":"4","IsPresenting":false,"SortOrder":7,"DisplayName":"Perler L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Number":1,"Affiliation":"Swiss Federal Food Safety and Veterinary Office","City":"Bern","State":"Bern","Country":"Switzerland","AffiliationDisplay":"Swiss Federal Food Safety and Veterinary Office, Bern Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Number":2,"Affiliation":"SAFOSO AG","City":"Bern","State":"Bern","Country":"Switzerland","AffiliationDisplay":"SAFOSO AG, Bern Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Number":3,"Affiliation":"Veterinary office both Appenzell","City":"Herisau","State":"Appenzell Ausserrhoden","Country":"Switzerland","AffiliationDisplay":"Veterinary office both Appenzell, Herisau Appenzell Ausserrhoden, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6cfce015-c7d5-46f0-985d-31b46b67d1db","Number":4,"Affiliation":"Nutztiergesundheit Schweiz","City":"Zollikofen","State":"Bern","Country":"Switzerland","AffiliationDisplay":"Nutztiergesundheit Schweiz, Zollikofen Bern, Switzerland"}],"AuthorsHtml":"Delalay G1, Küker S2, Jörger K1, Quaile S3, Tempelman Y1, Haller M1, Perler L4","AffiliationsHtml":"
1Swiss Federal Food Safety and Veterinary Office, Bern Bern, Switzerland
2SAFOSO AG, Bern Bern, Switzerland
3Veterinary office both Appenzell, Herisau Appenzell Ausserrhoden, Switzerland
4Nutztiergesundheit Schweiz, Zollikofen Bern, Switzerland
"}],"DisplayName":"Gary Delalay","TimeDisplay":null},{"ContactId":"008f6867-028c-46bc-beef-b6255c98b0ec","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Elliott","LastName":"Dennis","Position":"Assistant Professor","Organization":"University of Nebraska","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Estimating the Global Economic Impact of Infectious Bovine Keratoconjunctivitis","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"33b57484-c325-407c-aa1f-8fe1e2c2f1aa","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"532e045b-fd62-40ad-b15b-dc1ceeb98603","Html":null,"PlainText":"Estimating the Global Economic Impact of Infectious Bovine Keratoconjunctivitis

Objective
Infectious bovine keratoconjunctivitis (IBK), commonly known as pinkeye, is the most important ocular disease of cattle worldwide, but specific data on its impact on cattle industry output are lacking. The objective of this paper is to model global impact of IBK by considering known disease risk factors of cattle age, breed, and geographical climate in an economic framework.

Methods and Data
We develop a generalized disease impact model that captures losses in output, inputs, treatment, and prevention over time and space. Country by year impacts are aggregated by cattle breed and age within different geographic climates and regions as defined by World Bank then used to make inferences about the IBK disease burden. We then show how these impacts change under hypothetical climate change scenarios.

Results
Estimated total economic costs for Bos indicus breeds are $0.43 [0.42, 0.43] per cow and $9.88 [9.85, 9.91] per calf, and for Bos taurus $2.19 [2.19, 2.20] cows and $25.79 [25.71, 25.88] per calf. Losses in output and treatment costs captured approximately 90% of total costs for Bos indicus and Bos taurus cows. Output and prevention losses account for approximately 70% of total losses. Total costs per annum are $1041M [1036, 1046] in subtropical climates, $573 M [570, 576] in tropical climates, and $1154 M [1147, 1160] in other climates. The total global cost of IBK is estimated to be approximately $2800 M per annum.

Conclusions
This is the first estimate of the global cost incurred by the cattle industry due to IBK. It indicates the disease has a substantial negative impact on productivity. These results highlight the importance of knowing the biological and epidemiological drivers of the disease to enable full capture of all economic costs associated with IBK.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"532e045b-fd62-40ad-b15b-dc1ceeb98603","Title":"Prof.","FirstName":"Elliott","LastName":"Dennis","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Dennis E"},{"PresentationId":"532e045b-fd62-40ad-b15b-dc1ceeb98603","Title":"Dr.","FirstName":"Mac","LastName":"Kneipp","Position":"Graduate Student","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Kneipp M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"532e045b-fd62-40ad-b15b-dc1ceeb98603","Number":1,"Affiliation":"Agricultural Economics, University of Nebraska - Lincoln","City":"Lincoln","State":"NE","Country":"USA","AffiliationDisplay":"Agricultural Economics, University of Nebraska - Lincoln, Lincoln NE, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"532e045b-fd62-40ad-b15b-dc1ceeb98603","Number":2,"Affiliation":"National Institute of Antimicrobial Resistance Research and Education (NIAMRRE)","City":"Ames","State":"IA","Country":"USA","AffiliationDisplay":"National Institute of Antimicrobial Resistance Research and Education (NIAMRRE), Ames IA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"532e045b-fd62-40ad-b15b-dc1ceeb98603","Number":3,"Affiliation":"Sydney School of Veterinary Science, The University of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, The University of Sydney, Camden NSW, Australia"}],"AuthorsHtml":"Dennis E1,2, Kneipp M3","AffiliationsHtml":"
1Agricultural Economics, University of Nebraska - Lincoln, Lincoln NE, USA
2National Institute of Antimicrobial Resistance Research and Education (NIAMRRE), Ames IA, USA
3Sydney School of Veterinary Science, The University of Sydney, Camden NSW, Australia
"}],"DisplayName":"Elliott Dennis","TimeDisplay":null},{"ContactId":"3d86aedb-b97e-450a-ba4a-0730e848886d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Matthew","LastName":"Denwood","Position":"Associate Professor","Organization":"University of Copenhagen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Panel discussion: Peeking inside the Black Box ","Bio":null,"PresentationTypeName":"Special Session - Panel","Session":{"Id":"a2e9d146-090f-4806-9173-28a92bbc0dfd","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"11_Special Session: Animal Disease Spread Modelling","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"4a26c461-b4da-4236-bd1e-28d89dd77c62","Html":null,"PlainText":"Panelists
Simon Firestone
Mark Stevenson
Giles Innocent
Jessica Enright
Chris Jewell
Carsten Kirkeby
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4a26c461-b4da-4236-bd1e-28d89dd77c62","Title":"Mr.","FirstName":"Matthew","LastName":"Denwood","Position":"Associate Professor","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Denwood M"}],"Affiliations":[],"AuthorsHtml":"Denwood M","AffiliationsHtml":""}],"DisplayName":"Matthew Denwood","TimeDisplay":null},{"ContactId":"c98be206-3eb2-447b-87b0-06f18c14573c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sydney","LastName":"Dewinter","Position":"","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ef23eae779d24171ac0b4fed6586dd89","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Species-specific infestation patterns of ticks parasitizing Canadian companion animals, and preventative behaviours","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"00fbcd54-1337-4964-92aa-173af53dc07a","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"d29ce524-f03c-43b5-9893-d95a30b23a92","Html":null,"PlainText":"Due to recent climatic and land use changes, Canada has experienced drastic changes in tick populations, leading to an increased risk of tick bites and tick-borne pathogen exposure. Despite these changes in tick populations through recent years, national monitoring programs of ticks on companion animals no longer exist. Recommendations from veterinary professionals include conducting tick checks and using acaricides. However, species-specific infestation patterns are largely understudied. Current information regarding tick infestation patterns and preventative practices is needed.

The objectives of this study were to identify tick species-specific infestation patterns on Canadian companion animals and describe the use of preventative behaviours.

Ticks were collected for one year (April 2019 – March 2020) from 94 veterinary clinics across Canada as part of the Canadian Pet Tick Survey. All ticks were identified to species. Data on location of attachment, use of acaricides and frequency of tick checks was ascertained with each submission. To examine the association between location of attachment and tick species, mixed effects univariable models were built. To examine the relationship between preventative behaviours and the animal’s demographics, uni- and multi-variable, mixed effects logistic regression models were built.

We received approximately 2800 submissions from companion animals across Canada, totalling over 4500 ticks. Of these submissions, ~1800 were Ixodes spp., and ~930 were Dermacentor spp., ticks. Clear tick species-specific infestation patterns are present, along with tick prevention behaviours and their relationship to companion animal demographics.

Up-to-date information on infestation patterns will be used to inform veterinary professionals and pet owners of common attachment sites based on established ticks in their region. In addition, information regarding use of tick checks and acaricides allows veterinary professionals to determine which animals are not receiving preventative care and create educational materials for pet owners.

Keywords: Climate change; Epidemiology; Ixodes scapularis; One Health; Passive surveillance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d29ce524-f03c-43b5-9893-d95a30b23a92","Title":"Ms.","FirstName":"Sydney","LastName":"Dewinter","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dewinter S"},{"PresentationId":"d29ce524-f03c-43b5-9893-d95a30b23a92","Title":"Dr.","FirstName":"Cathy","LastName":"Bauman","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Bauman C"},{"PresentationId":"d29ce524-f03c-43b5-9893-d95a30b23a92","Title":"Dr.","FirstName":"Andrew","LastName":"Peregrine","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Peregrine A"},{"PresentationId":"d29ce524-f03c-43b5-9893-d95a30b23a92","Title":"Dr. ","FirstName":"Scott","LastName":"Weese","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Weese S"},{"PresentationId":"d29ce524-f03c-43b5-9893-d95a30b23a92","Title":"Dr.","FirstName":"Katie","LastName":"Clow","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Clow K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d29ce524-f03c-43b5-9893-d95a30b23a92","Number":1,"Affiliation":"University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Dewinter S1, Bauman C1, Peregrine A1, Weese S1, Clow K1","AffiliationsHtml":"
1University Of Guelph, Guelph ON, Canada
"}],"DisplayName":"Sydney Dewinter","TimeDisplay":null},{"ContactId":"b7d858d9-b7b5-4c67-bb94-1fe48b7cb8eb","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nancy","LastName":"deWith","Position":"Senior Veterinary Science Specialist","Organization":"Canadian Food Inspection Agency","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2c07d3103d7e4ef5bb6fc4ebde741962","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A Method for Joint Rapid Qualitative Risk Assessment: An Example of SARS-CoV-2 in White-Tailed Deer ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3e92c612-9813-45ad-825f-6027761ab0ac","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.D - Risk Assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"1b56046b-92a1-4f3d-8bef-f2144aacd234","Html":null,"PlainText":"Objectives: In summer 2021, SARS-CoV-2 genetic material and antibodies were detected in wild white-tailed deer (WTD) in the United States. In addition, two experimental studies showed that WTD inoculated with SARS-CoV-2 became infected, transmitted infection to other WTD, and developed antibodies.
One Health groups in Canada raised concerns regarding potential risks posed to humans in contact with free-ranging or captive WTD (live and dead), and establishment of a wildlife reservoir. An iterative rapid qualitative risk assessment (RQRA) process was initiated, following international guidelines.
Methods: A multi-jurisdictional expert group was formed to complete all steps of the joint RQRA process, starting with risk framing and question formation. A scenario pathway diagram was created (Figure 1), and probabilities of the critical steps along these pathways were identified. Using a modified Delphi approach, probability, uncertainty and impact estimates were qualitatively assessed.
Results: At the time of the RQRA, the level of exposure of WTD in Canada to SARS-CoV-2 was unknown. The RQRA determined that the probability that a human would be exposed to, and become clinically ill, as a result of contact with an infected WTD was very low to low for contact with live WTD, and low for contact with a WTD carcass but ranging to moderate for certain groups with increased contact levels. Uncertainty levels were moderate to high for all probability estimates.
Conclusion: The RQRA results were used to inform the development of communication products for people in contact with free-ranging or captive deer, policy guidance, and surveillance in wildlife.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"1b56046b-92a1-4f3d-8bef-f2144aacd234","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/40de55b335834fe5988421e87c8a41f1","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"1b56046b-92a1-4f3d-8bef-f2144aacd234","Title":"Dr.","FirstName":"Sharon","LastName":"Calvin","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Calvin S"},{"PresentationId":"1b56046b-92a1-4f3d-8bef-f2144aacd234","Title":"Dr.","FirstName":"Cynthia","LastName":"Pekarik","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Pekarik C"},{"PresentationId":"1b56046b-92a1-4f3d-8bef-f2144aacd234","Title":"Dr.","FirstName":"Andrea","LastName":"Osborn","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Osborn A"},{"PresentationId":"1b56046b-92a1-4f3d-8bef-f2144aacd234","Title":"Dr.","FirstName":"Nancy","LastName":"deWith","Position":"Senior Veterinary Science Specialist","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"deWith N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1b56046b-92a1-4f3d-8bef-f2144aacd234","Number":1,"Affiliation":"Canadian Food Inspection Agency (CFIA)","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"Canadian Food Inspection Agency (CFIA), Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1b56046b-92a1-4f3d-8bef-f2144aacd234","Number":2,"Affiliation":"Environment and Climate Change Canada","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"Environment and Climate Change Canada, Canada"}],"AuthorsHtml":"Calvin S1, Pekarik C2, Osborn A1, deWith N1","AffiliationsHtml":"
1Canadian Food Inspection Agency (CFIA), Canada
2Environment and Climate Change Canada, Canada
"},{"Title":"Community for Emerging and Zoonotic Diseases - Identifying Emerging Risks through Collective Intelligence","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"66dff8b0-9c34-45e8-a6a5-9276661d6997","Html":null,"PlainText":"Objectives: The Community for Emerging and Zoonotic Diseases (CEZD) is a Canadian virtual multidisciplinary network that includes partners from provincial, federal and municipal governments, industry, and academia in areas of public, animal and environmental health.

Materials and Methods: CEZD conducts environmental scanning for emerging and zoonotic diseases using an event based surveillance system. The system integrates artificial intelligence with multidisciplinary member perspectives through member rating of signal relevance to Canada from their different perspectives. Weekly intelligence reports are produced based upon the member signal ratings. When specific signals are of concern to members, further evaluation and analysis is conducted as required.

Results: The collective intelligence generated through these processes is shared with the community members in weekly intelligence reports, immediate notifications, ‘ping’ polls, and risk products to provide early warning for emerging animal diseases and zoonotic diseases. (see Figure 1 for a summary of the processes)

Figure 1: CEZD's five step processes for generation of early warning intelligence

Conclusions: The combination of an event based surveillance system with a multidisciplinary team of professionals provides the foundation for a one health intelligence system that supports risk assessment and decision making across disciplines.

Keywords: Collaboration, Emerging, Zoonosis, Intelligence, ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"66dff8b0-9c34-45e8-a6a5-9276661d6997","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/04e04b24ab6446b9a3b700719f0fbc74","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"66dff8b0-9c34-45e8-a6a5-9276661d6997","Title":"Dr.","FirstName":"Andrea","LastName":"Osborn","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Osborn A"},{"PresentationId":"66dff8b0-9c34-45e8-a6a5-9276661d6997","Title":"Ms.","FirstName":"Zana","LastName":"Dukadzinac","Position":"Science Specialist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Dukadzinac Z"},{"PresentationId":"66dff8b0-9c34-45e8-a6a5-9276661d6997","Title":"Mrs.","FirstName":"Linda","LastName":"Giannini-Grazia","Position":"National Technical Specialist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Giannini-Grazia L"},{"PresentationId":"66dff8b0-9c34-45e8-a6a5-9276661d6997","Title":"Dr.","FirstName":"Nancy","LastName":"deWith","Position":"Senior Veterinary Science Specialist","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"deWith N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"66dff8b0-9c34-45e8-a6a5-9276661d6997","Number":1,"Affiliation":"Canadian Food Inspection Agency","City":"Ottawa","State":"Ontario","Country":"Canada","AffiliationDisplay":"Canadian Food Inspection Agency, Ottawa Ontario, Canada"}],"AuthorsHtml":"Osborn A1, Dukadzinac Z1, Giannini-Grazia L1, deWith N1","AffiliationsHtml":"
1Canadian Food Inspection Agency, Ottawa Ontario, Canada
"},{"Title":"Modelling foot-and-mouth disease in Canada (CanDIS-FMD)","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"935086dd-c64d-4a0e-b8c9-39f9a1a8e5b5","Html":null,"PlainText":"Objectives: Effective emergency planning, preparedness, and response is key to successfully responding to an animal disease incursion. Animal disease spread models provide one means to support outbreak planning. An existing foot-and-mouth disease (FMD) model framework, the Australian Animal Disease Spread model (AADIS) is being adapted for use in Canada (CanDIS-FMD). Using data about the Canadian livestock populations, geography, weather, animal movements, and disease control measures, CanDIS-FMD modelling results will be used to evaluate FMD contingency plans and the impact of control measures for the purposes of improving preparedness for emergencies.
Methods: The model inputs were developed using a collaborative approach with expertise from provincial and industry experts. The model schema includes 1) six livestock regions based on a combination of eco-zone, administrative boundaries and industry organization; 2) a synthetic farm dataset of 100,301 premises created using publicly available agriculture data and land use maps; 4) nine herd types representing 27,276,351 animals; 5) animal movement data; 6) indirect contact data; and 7) weather data from 8,319 weather stations located across Canada for modelling conditions suitable for FMD virus persistence and wind-borne disease spread. Disease control measures are consistent with the Canadian Food Inspection Agency’s emergency response plans.
Results: CanDIS-FMD is an individual-based model that can simulate the introduction of FMD virus into any susceptible Canadian herd at any time of the year. FMD may spread through live animal movements between farms, through sale yards, indirect contacts, local spread between adjoining premises and aerosol plumes. The model captures spatial and temporal heterogeneities in livestock production systems, marketing systems, and the environment. Simulated control measures are resource-constrained and costed.
Conclusion: CanDIS-FMD is a sophisticated support tool that can explore the risk of FMD establishment and spread; evaluate control approaches in terms of effectiveness and costs; and management of resources such as personnel.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"935086dd-c64d-4a0e-b8c9-39f9a1a8e5b5","Title":"Dr.","FirstName":"Nancy","LastName":"deWith","Position":"Senior Veterinary Science Specialist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"deWith N"},{"PresentationId":"935086dd-c64d-4a0e-b8c9-39f9a1a8e5b5","Title":"Dr.","FirstName":"Janessa","LastName":"Brown","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Brown J"},{"PresentationId":"935086dd-c64d-4a0e-b8c9-39f9a1a8e5b5","Title":"Dr.","FirstName":"Shannon","LastName":"French","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"French S"},{"PresentationId":"935086dd-c64d-4a0e-b8c9-39f9a1a8e5b5","Title":"Dr.","FirstName":"Richard","LastName":"Bradhurst","Position":"Senior Research Fellow","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Bradhurst R"},{"PresentationId":"935086dd-c64d-4a0e-b8c9-39f9a1a8e5b5","Title":"Dr.","FirstName":"Graeme","LastName":"Garner","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Garner G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"935086dd-c64d-4a0e-b8c9-39f9a1a8e5b5","Number":1,"Affiliation":"Canadian Food Inspection Agency (CFIA)","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"Canadian Food Inspection Agency (CFIA), Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"935086dd-c64d-4a0e-b8c9-39f9a1a8e5b5","Number":2,"Affiliation":"Centre of Excellence for Biosecurity Risk Analysis","City":"University of Melbourne","State":null,"Country":"Australia","AffiliationDisplay":"Centre of Excellence for Biosecurity Risk Analysis, University of Melbourne, Australia"}],"AuthorsHtml":"deWith N1, Brown J1, French S1, Bradhurst R2, Garner G2","AffiliationsHtml":"
1Canadian Food Inspection Agency (CFIA), Canada
2Centre of Excellence for Biosecurity Risk Analysis, University of Melbourne, Australia
"}],"DisplayName":"Nancy deWith","TimeDisplay":null},{"ContactId":"2c86c3bd-fb8f-4a4c-b5ba-2dadbe0f5908","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jeroen","LastName":"Dewulf","Position":"Professor","Organization":"Ghent University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1880a20fbeeb4682ada9298038dc145c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"Jkdewulf","_facebookUrl":"Jeroen Dewulf","_linkedInUrl":"Jeroen Dewulf","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"Jkdewulf","FacebookUrl":"Jeroen Dewulf","LinkedInUrl":"Jeroen Dewulf","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=Jkdewulf","FullFacebookUrl":"http://Jeroen Dewulf","FullLinkedInUrl":"http://Jeroen Dewulf","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":4},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=Jkdewulf","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://Jeroen Dewulf","Font":"fab fa-facebook-square","Color":"#3b5998"},{"Link":"http://Jeroen Dewulf","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Belgian pigs \"Raised Without Antibiotics\"","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"606a7004-0a8b-4317-b142-596fb4934133","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ced3521a-0aca-434e-a2ef-013dc8e74cae","Html":null,"PlainText":"Objective: Reduction of antibiotic resistance in pigs can be obtained through prudent or restricted use of antibiotics. Raised Without Antibiotics (RWA) is a certification mark that is known in only a few countries, and it is unclear what the characteristics of RWA herds are. The objectives of this study were to define the criteria of a Belgian RWA programme; to coach herds and to assess if it was possible to obtain and maintain the RWA status; and to determine differences between RWA and conventional pig herds.
Materials and methods: Pig herds (n=28) were visited 3 times: 1) data collection, 2) (2 months later) herd-specific coaching, 3) (7 months later) evaluation. Antibiotic use was followed up from before the start of the study up to one year after the last visit. Criteria for Belgian RWA production were defined, and the status of the herds (RWA or not) was verified. Antibiotic use, biosecurity (Biocheck.UGent), and herd characteristics of (non-)RWA herds were compared.
Results: RWA was defined as no antibiotics from birth until slaughter. Pigs requiring an individual treatment received a special ear-tag and were excluded from the programme. The status of the herds varied over time, and the distribution RWA vs. non-RWA was 10-18, 13-15, and 16-12, for before intervention, after coaching, and after one year, respectively. RWA herds were smaller (median 200 sows) compared to non-RWA herds (median 350 sows). The 4-week system was used significantly more in non-RWA herds, while the 3- and 5-week system were used most often in RWA herds. There were no statistically significant differences in biosecurity status, but biosecurity improved in all farms over the course of the study.
Conclusion: This study showed that it was possible for farmers to achieve and maintain the RWA status through herd-specific coaching related to prudent ABU and biosecurity.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ced3521a-0aca-434e-a2ef-013dc8e74cae","Title":"Ms.","FirstName":"Elise","LastName":"Bernaerdt","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Bernaerdt E"},{"PresentationId":"ced3521a-0aca-434e-a2ef-013dc8e74cae","Title":"Mr.","FirstName":"Dominiek","LastName":"Maes","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Maes D"},{"PresentationId":"ced3521a-0aca-434e-a2ef-013dc8e74cae","Title":"Mr.","FirstName":"Tommy","LastName":"Van Limbergen","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Van Limbergen T"},{"PresentationId":"ced3521a-0aca-434e-a2ef-013dc8e74cae","Title":"Mrs.","FirstName":"Merel","LastName":"Postma","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Postma M"},{"PresentationId":"ced3521a-0aca-434e-a2ef-013dc8e74cae","Title":"Mr.","FirstName":"Jeroen","LastName":"Dewulf","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Dewulf J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ced3521a-0aca-434e-a2ef-013dc8e74cae","Number":1,"Affiliation":"Ghent University","City":"Merelbeke","State":"Oost-vlaanderen","Country":"Belgium","AffiliationDisplay":"Ghent University, Merelbeke Oost-vlaanderen, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ced3521a-0aca-434e-a2ef-013dc8e74cae","Number":2,"Affiliation":"ANITOM bv","City":"Aartselaar","State":"Oost-Vlaanderen","Country":"Belgium","AffiliationDisplay":"ANITOM bv, Aartselaar Oost-Vlaanderen, Belgium"}],"AuthorsHtml":"Bernaerdt E1, Maes D1, Van Limbergen T2, Postma M1, Dewulf J1","AffiliationsHtml":"
1Ghent University, Merelbeke Oost-vlaanderen, Belgium
2ANITOM bv, Aartselaar Oost-Vlaanderen, Belgium
"},{"Title":"Quantitative insights in antimicrobial use in pigs in Europe","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9c44b6b3-6c2d-463e-bdcb-88e8d5917ea1","Html":null,"PlainText":"Objectives: The goal of this study is to describe the current use of antimicrobials in the European pig industry based upon an extensive literature review.
Material and methods: An overview of results of national (n=15) and multicountry (n=2) crossectional and longitudinal (n=2) surveys that describe antimicrobial use in pigs is presented. Results are further linked to the outcome of the European Surveillance of Veterinary Antimicrobial Consumption (ESVAC) project.
Results and discussion: Overall it was found that weaned piglets received the most antimicrobials, followed by suckling piglets resulting in over 80% of the treatments being administered before the age of 10 weeks. Furthermore, it was observed that AMU was significantly associated across age categories, indicating that farms with high use in piglets also used more antimicrobials in their finishers. This may, among other things, be explained by farmers’ habits and behavior. But above all, the studies showed surprisingly large differences in AMU between the countries. These differences may be related to the differences in disease prevalence or differences in the level of biosecurity. However, they may also reflect variations in rules and regulations in the countries and/or a certain attitude towards AMU of farmers and veterinarians not necessarily linked to the true animal health situation. Furthermore, it was observed that already a substantial proportion of the European pig production is capable of raising pigs without any group treatments indicating that it is possible to rear pigs without systematic use of antimicrobials. Based upon the ESVAC data a decline in sales of antimicrobials for animals in Europe between 2011 and 2020 of 43.2% was observed. To enable efficient antimicrobial quantification and stewardship already 15 European countries have established systems for herd-level monitoring AMU in pigs.


Keywords: pig production – antimicrobial use – antimicrobial resistance –– quantification
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9c44b6b3-6c2d-463e-bdcb-88e8d5917ea1","Title":"Mr.","FirstName":"Jeroen","LastName":"Dewulf","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dewulf J"},{"PresentationId":"9c44b6b3-6c2d-463e-bdcb-88e8d5917ea1","Title":"Mr.","FirstName":"Philip","LastName":"Joosten","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Joosten P"},{"PresentationId":"9c44b6b3-6c2d-463e-bdcb-88e8d5917ea1","Title":"Mr.","FirstName":"Ilias","LastName":"Chantziaras","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Chantziaras I"},{"PresentationId":"9c44b6b3-6c2d-463e-bdcb-88e8d5917ea1","Title":"Mrs.","FirstName":"Merel","LastName":"Postma","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Postma M"},{"PresentationId":"9c44b6b3-6c2d-463e-bdcb-88e8d5917ea1","Title":"Mr.","FirstName":"Dominiek","LastName":"Maes","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Maes D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9c44b6b3-6c2d-463e-bdcb-88e8d5917ea1","Number":1,"Affiliation":"Ghent University","City":"Merelbeke","State":"België","Country":"Belgium","AffiliationDisplay":"Ghent University, Merelbeke België, Belgium"}],"AuthorsHtml":"Dewulf J1, Joosten P1, Chantziaras I1, Postma M1, Maes D1","AffiliationsHtml":"
1Ghent University, Merelbeke België, Belgium
"}],"DisplayName":"Jeroen Dewulf","TimeDisplay":null},{"ContactId":"5dd241f7-40f0-418b-be8c-5c8abe1f04bc","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Navneet","LastName":"Dhand","Position":"Associate Professor / Consultant","Organization":"The University Of Sydney / FAO","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/70adc21cca904892be4d1baadcb8e9b5","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Originally trained as a veterinarian in India, Navneet is currently serving as an Associate Professor in Veterinary Biostatistics and Epidemiology at The University of Sydney and as a Senior Veterinary Epidemiology Expert at the Food and Agriculture Organization of the United Nations (FAO). His research interests are in Johne’s disease, bovine brucellosis and Hendra virus and he has led several research projects for investigating the epidemiology of endemic and emerging infectious diseases. He is passionate about strengthening field epidemiology capacity and leads the Asia Pacific Consortium of Veterinary Epidemiology aiming to strengthen epidemiology capacity in the Asia Pacific region. He has also helped develop guidelines for field epidemiology training for the FAO. Navneet was named as the Research Leader in Veterinary Medicine in Australia in The Australian Special Research Report 2020.

","Presentations":[{"Title":"An overview of Field Epidemiology Training Programs for Veterinarians in the Asia Pacific","Bio":"Originally trained as a veterinarian in India, Navneet is currently serving as an Associate Professor in Veterinary Biostatistics and Epidemiology at The University of Sydney and as a Senior Veterinary Epidemiology Expert at the Food and Agriculture Organization of the United Nations (FAO). His research interests are in Johne’s disease, bovine brucellosis and Hendra virus and he has led several research projects for investigating the epidemiology of endemic and emerging infectious diseases. He is passionate about strengthening field epidemiology capacity and leads the Asia Pacific Consortium of Veterinary Epidemiology aiming to strengthen epidemiology capacity in the Asia Pacific region. He has also helped develop guidelines for field epidemiology training for the FAO. Navneet was named as the Research Leader in Veterinary Medicine in Australia in The Australian Special Research Report 2020.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"e3424a2f-bb76-4ed8-875a-a9e1c22c23b3","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"5_Special Session Part 1: Strengthening Veterinary Epidemiology and One Health Capacity","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"07513f12-c719-4a81-a3b7-0abdf3d40043","Html":null,"PlainText":"Field epidemiology training programs (FETP) aim to train public health epidemiologists to investigate disease outbreaks and conduct disease surveillance. Similar programs to train veterinarians have been established in several countries with the support of the Food and Agriculture Organization of the United Nations (FAO). Thailand established the Regional Field Epidemiology Training Program for Veterinarians in 2009 in collaboration with the Thai FETP to strengthen the veterinary epidemiology capacity in the region. Many Southeast Asian countries including the Philippines, Vietnam, Cambodia, and Indonesia have established their own programs in the past two decades that vary in structure, duration, level of training and mode of implementation.

FAO organised two workshops in 2018 to review the existing programs, define core competencies, identify training gaps, and develop curricula for training field veterinary epidemiologists. Later, the Australian government’s Indo-Pacific Centre for Health Security funded a project to establish the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) to fill up some of the gaps identified in the FAO review. APCOVE involves veterinary epidemiologists from nine veterinary schools, animal health experts from eight target countries in the Asia Pacific and representatives from several international organisations.

Since its establishment in 2020, APCOVE has developed 36 eLearning modules on outbreak investigation, surveillance, risk analysis, biosecurity, One Health, and Leadership. APCOVE is also currently testing an educational approach combining online training with hands-on in-country mentored projects. To evaluate this approach, APCOVE enrolled 139 trainees from seven Asia Pacific countries in a training program in January 2022. Of these, 94 trainees have completed all 36 eLearning modules and 30 have been selected to undertake further hands-on field projects.

Further efforts are required to improve mentor and facilitator training, develop approaches for evaluation and certification, and improve the career progression of trainees to make field epidemiology training programs for veterinarians sustainable.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"07513f12-c719-4a81-a3b7-0abdf3d40043","Title":"Dr.","FirstName":"Navneet","LastName":"Dhand","Position":"Associate Professor In Veterinary Biostatistics And Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dhand N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"07513f12-c719-4a81-a3b7-0abdf3d40043","Number":1,"Affiliation":"Asia Pacific Consortium of Veterinary Epidemiology, Sydney School of Veterinary Science, The University of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"Asia Pacific Consortium of Veterinary Epidemiology, Sydney School of Veterinary Science, The University of Sydney, Camden NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"07513f12-c719-4a81-a3b7-0abdf3d40043","Number":2,"Affiliation":"Food and Agriculture Organization of the United Nations (FAO)","City":"Rome","State":null,"Country":"Italy","AffiliationDisplay":"Food and Agriculture Organization of the United Nations (FAO), Rome, Italy"}],"AuthorsHtml":"Dhand N1","AffiliationsHtml":"
1Asia Pacific Consortium of Veterinary Epidemiology, Sydney School of Veterinary Science, The University of Sydney, Camden NSW, Australia
2Food and Agriculture Organization of the United Nations (FAO), Rome, Italy
"},{"Title":"Field Epidemiology Training Programmes for Veterinarians: Challenges and future directions","Bio":"Originally trained as a veterinarian in India, Navneet is currently serving as an Associate Professor in Veterinary Biostatistics and Epidemiology at The University of Sydney and as a Senior Veterinary Epidemiology Expert at the Food and Agriculture Organization of the United Nations (FAO). His research interests are in Johne’s disease, bovine brucellosis and Hendra virus and he has led several research projects for investigating the epidemiology of endemic and emerging infectious diseases. He is passionate about strengthening field epidemiology capacity and leads the Asia Pacific Consortium of Veterinary Epidemiology aiming to strengthen epidemiology capacity in the Asia Pacific region. He has also helped develop guidelines for field epidemiology training for the FAO. Navneet was named as the Research Leader in Veterinary Medicine in Australia in The Australian Special Research Report 2020.\r\n\r\n","PresentationTypeName":"Special Session - Panel","Session":{"Id":"e3424a2f-bb76-4ed8-875a-a9e1c22c23b3","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"5_Special Session Part 1: Strengthening Veterinary Epidemiology and One Health Capacity","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"837a9136-d921-4c50-b057-aae928af5afa","Html":null,"PlainText":"Panel Discussion

Dr Laura Macfarlane-Berry
Department of Agriculture, Fisheries and Forestry / University of Newcastle

Dr Mark Stevenson
Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Australia

Dr Jenny-Ann Toribio
The University of Sydney

Dr Navneet Dhand
The University of Sydney / Food and Agriculture Organization of the United Nations (FAO)
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"837a9136-d921-4c50-b057-aae928af5afa","Title":"Dr.","FirstName":"Navneet","LastName":"Dhand","Position":"Associate Professor In Veterinary Biostatistics And Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dhand N"},{"PresentationId":"837a9136-d921-4c50-b057-aae928af5afa","Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"2","IsPresenting":true,"SortOrder":2,"DisplayName":"Stevenson M"},{"PresentationId":"837a9136-d921-4c50-b057-aae928af5afa","Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Toribio J"},{"PresentationId":"837a9136-d921-4c50-b057-aae928af5afa","Title":"Dr","FirstName":"Laura","LastName":"Macfarlane-Berry","Position":"Senior Veterinary Officer","Affiliations":"3","IsPresenting":true,"SortOrder":4,"DisplayName":"Macfarlane-Berry L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"837a9136-d921-4c50-b057-aae928af5afa","Number":1,"Affiliation":"The University Of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"The University Of Sydney, Camden NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"837a9136-d921-4c50-b057-aae928af5afa","Number":2,"Affiliation":"The University of Melbourne","City":"Melbourne","State":"Victoria","Country":"Australia","AffiliationDisplay":"The University of Melbourne, Melbourne Victoria, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"837a9136-d921-4c50-b057-aae928af5afa","Number":3,"Affiliation":"Department of Agriculture, Water and the Environment","City":"Canberra ","State":"ACT","Country":"Australia","AffiliationDisplay":"Department of Agriculture, Water and the Environment, Canberra ACT, Australia"}],"AuthorsHtml":"Dhand N1, Stevenson M2, Toribio J1, Macfarlane-Berry L3","AffiliationsHtml":"
1The University Of Sydney, Camden NSW, Australia
2The University of Melbourne, Melbourne Victoria, Australia
3Department of Agriculture, Water and the Environment, Canberra ACT, Australia
"}],"DisplayName":"Navneet Dhand","TimeDisplay":null},{"ContactId":"09a9fcdb-8417-4a6f-86de-acd59004e710","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sofie","LastName":"Dhollander","Position":"Senior Scientific Officer","Organization":"European Food Safety Authority","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9cff58612b2e4bee9e97fa7cfb765a4c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Twelve years of epidemiological analysis of African swine fever in the European Union and neighboring countries: recommendations for wild boar management.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f1a8f395-68b4-48d7-a575-06e813415988","Html":null,"PlainText":"Objectives
Since African swine fever (ASF) virus Genotype-II entered Europe in 2007, the control of the disease in Eurasian wild boar (Sus scrofa) has been challenging, as shown by the slow but ongoing spread of the disease in the population over the past years. This study summarizes the knowledge on ASF prevention and control measures in wild boar populations based on scientific evidence gathered by EFSA over 12 years.
Methodology
Since 2010, EFSA has been mandated by the European Commission to collaborate with the ASF-affected countries in - and neighboring the EU, to provide scientific advice on prevention and control of the disease in wild boar. This resulted in 45 scientific outputs based on systematic reviews, surveillance data submitted by the affected countries and epidemiological models to evaluate the efficacy of specific measures to control the spread of the disease in wild boar populations and to understand the factors related ro risk of spill over to domestic pigs.
Results
The principles of the control measures in wild boar are similar to those in domestic pigs and are based on restriction of animal movements and culling infectious and susceptible animals to avoid further spread. However, there are nuances depending on: 1) the vicinity to the affected area (far away, neighboring or inside); 2) the type of ASF-virus introduction (focal, human-mediated introduction versus adjacent spread) and 3) the time passed since the index case (early detection versus endemic status). For each of the different combinations, recommendations have been developed for the prevention and control of ASF in wild boar.
Conclusions
Data on ASF surveillance submitted to EFSA by affected countries used to test the results of epidemiological models were an essential component to develop recommendations. More knowledge could be generated through further harmonizing trans-boundary data collection on susceptible populations and ASF surveillance.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f1a8f395-68b4-48d7-a575-06e813415988","Title":"Mrs.","FirstName":"Sofie","LastName":"Dhollander","Position":"Senior Scientific Officer","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dhollander S"},{"PresentationId":"f1a8f395-68b4-48d7-a575-06e813415988","Title":"Dr","FirstName":"José","LastName":"Abrahantes Cortiñas","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Abrahantes Cortiñas J"},{"PresentationId":"f1a8f395-68b4-48d7-a575-06e813415988","Title":"Dr.","FirstName":"Eleonora","LastName":"Chinchio","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Chinchio E"},{"PresentationId":"f1a8f395-68b4-48d7-a575-06e813415988","Title":null,"FirstName":"Lina","LastName":"Mur","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Mur L"},{"PresentationId":"f1a8f395-68b4-48d7-a575-06e813415988","Title":"Dr","FirstName":"Alexandra","LastName":"Papanikolaou","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Papanikolaou A"},{"PresentationId":"f1a8f395-68b4-48d7-a575-06e813415988","Title":null,"FirstName":"","LastName":"EFSA-ASF-Working group","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"EFSA-ASF-Working group"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f1a8f395-68b4-48d7-a575-06e813415988","Number":1,"Affiliation":"European Food Safety Authority","City":"Parma","State":"Parma","Country":"Italy","AffiliationDisplay":"European Food Safety Authority, Parma Parma, Italy"}],"AuthorsHtml":"Dhollander S1, Abrahantes Cortiñas J1, Chinchio E1, Mur L1, Papanikolaou A1, EFSA-ASF-Working group","AffiliationsHtml":"
1European Food Safety Authority, Parma Parma, Italy
"},{"Title":"Quantitative risk factors associated with African Swine Fever occurrence and spread in pig and wild boar populations: a systematic literature review","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fb4e9c00-839f-4ce3-a0c7-98491f948e9f","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.D - Epidemiology of African Swine Fever","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"d72074a3-6fb6-4220-93fe-f3e8be193304","Html":null,"PlainText":"Objectives
Since African Swine Fever (ASF) genotype II reached Europe in 2007, it has widely spread causing huge economic losses to the pig production sector. To guide policy and management actions, robust quantitative evidence about risk factors associated with ASF in domestic pigs and Eurasian wild boar (Sus scrofa) is needed.

Materials and methods
To this aim, a systematic literature review of the scientific evidence available on ASF risk factors analyzed through quantitative methods was carried out. Information on article metadata, study settings, and details of the risk factors analyzed were extracted from the identified articles. Risk factors were structured in categories, and the frequency of categories with significant risk factors was evaluated.

Results
The literature search retrieved 348 articles, resulting in 31 inclusions in the review after application of the selection criteria. The categories of factors most frequently significantly associated with the occurrence of ASF in domestic pigs were related to pig farming, in particular pig population density and factors related to biosecurity practices, and socio-economic factors, especially those related to population and farmers’ demographics. Wild boar abundance, vegetation characteristics, human population demographics, and the presence of ASF virus infection in the area were the factors most frequently found to be significantly associated with the occurrence of ASF in wild boar.

Conclusions
A substantial number of factors (195) were assessed in the scientific literature as significant in relation to the occurrence and spread of ASF in pigs and wild boar. However, while certain types of factors have been frequently analyzed, others need further investigation, such as those related to the role of arthropod vectors. The results of this review can guide policy and management actions as well as research activities to focus on those factors with knowledge gaps.

Keywords:
ASF, risk factors, systematic literature review, pigs, wild boars","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d72074a3-6fb6-4220-93fe-f3e8be193304","Title":"Dr.","FirstName":"Eleonora","LastName":"Chinchio","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Chinchio E"},{"PresentationId":"d72074a3-6fb6-4220-93fe-f3e8be193304","Title":null,"FirstName":"Lina","LastName":"Mur","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mur L"},{"PresentationId":"d72074a3-6fb6-4220-93fe-f3e8be193304","Title":null,"FirstName":"Jose","LastName":"Cortinas Abrahantes","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Cortinas Abrahantes J"},{"PresentationId":"d72074a3-6fb6-4220-93fe-f3e8be193304","Title":null,"FirstName":"","LastName":"EFSA ASF Working Group","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"EFSA ASF Working Group"},{"PresentationId":"d72074a3-6fb6-4220-93fe-f3e8be193304","Title":"Mrs.","FirstName":"Sofie","LastName":"Dhollander","Position":"Senior Scientific Officer","Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Dhollander S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d72074a3-6fb6-4220-93fe-f3e8be193304","Number":1,"Affiliation":"Biological Hazards & Animal Health and Welfare Unit, European Food Safety Authority","City":"Parma","State":null,"Country":"Italy","AffiliationDisplay":"Biological Hazards & Animal Health and Welfare Unit, European Food Safety Authority, Parma, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d72074a3-6fb6-4220-93fe-f3e8be193304","Number":2,"Affiliation":"MESE Team Analysis Unit, European Food Safety Authority","City":"Parma","State":null,"Country":"Italy","AffiliationDisplay":"MESE Team Analysis Unit, European Food Safety Authority, Parma, Italy"}],"AuthorsHtml":"Chinchio E1, Mur L1, Cortinas Abrahantes J2, EFSA ASF Working Group, Dhollander S1","AffiliationsHtml":"
1Biological Hazards & Animal Health and Welfare Unit, European Food Safety Authority, Parma, Italy
2MESE Team Analysis Unit, European Food Safety Authority, Parma, Italy
"}],"DisplayName":"Sofie Dhollander","TimeDisplay":null},{"ContactId":"ac79b4aa-f22e-405f-bc45-fd69e1b44633","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Carlotta","LastName":"Di Bari","Position":"Research Assistant","Organization":"Sciensano","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The Global Burden of Neglected Zoonotic Diseases: current state of evidence","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"bb86a92e-d2a5-40ee-a236-98aaa56c7ae5","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.D - One Health","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"dd481595-7867-45ce-9e6d-3c877f7b1793","Html":null,"PlainText":"The majority of emerging infectious diseases are zoonoses, most of which are classified as “neglected”. By affecting both humans and animals, zoonoses pose a dual burden. The disability-adjusted life year (DALY) metric quantifies human health burden since it combines mortality and morbidity. This review aims to describe and analyze the current state of evidence on neglected zoonotic diseases (NZDs) burden and start a discussion on the current understanding of the global burden of NZDs.
Methods
We identified 26 priority NZDs by combining CDC One Health Zoonotic Disease Prioritization, the Joint External Evaluation reports, and the WHO roadmap for NTDs. A systematic review of global and national burden of disease (BoD) studies was conducted using pre-selected databases. Data on diseases, location and DALYs were extracted for each eligible study.
Results
A total of 1887 records were screened, resulting in 72 eligible studies (58 national or sub-national, 12 global, and 2 regional studies). The highest number of BoD was found for non-typhoidal salmonellosis (23), whereas no estimates were found for West Nile, Marburg and Lassa fever. Geographically, the highest number of studies was performed in the Netherlands (11), China (5) and Iran (4). The number of BoD retrieved mismatched the perceived importance in national prioritization exercises. For example, anthrax was considered a priority NZD in 73 countries, but only one national estimate was retrieved. By adding up the available global estimates, these diseases caused roughly 20 million DALYs
Conclusions
The global burden of disease landscape of NZDs remains scattered. There are several priority NZDs for which no burden estimates exist, and the number of BoD studies does not reflect national disease priorities. To have complete and consistent estimates of the global burden of NZDs, these diseases should be integrated in larger global burden of disease initiatives.
Keywords: Burden of disease; Zoonotic diseases","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"dd481595-7867-45ce-9e6d-3c877f7b1793","Title":"Ms.","FirstName":"Carlotta","LastName":"Di Bari","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Di Bari C"},{"PresentationId":"dd481595-7867-45ce-9e6d-3c877f7b1793","Title":"Ms. ","FirstName":"Narmada","LastName":"Venkateswaran","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Venkateswaran N"},{"PresentationId":"dd481595-7867-45ce-9e6d-3c877f7b1793","Title":"PhD","FirstName":"David","LastName":"Pigott","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Pigott D"},{"PresentationId":"dd481595-7867-45ce-9e6d-3c877f7b1793","Title":"PhD","FirstName":"Brecht ","LastName":"Devleesschauwer","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Devleesschauwer B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dd481595-7867-45ce-9e6d-3c877f7b1793","Number":1,"Affiliation":"Department of Epidemiology and Public Health, Sciensano","City":"Brussels","State":null,"Country":"Belgium","AffiliationDisplay":"Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dd481595-7867-45ce-9e6d-3c877f7b1793","Number":2,"Affiliation":"Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington","City":"Seattle","State":"Washington","Country":"United States ","AffiliationDisplay":"Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle Washington, United States "}],"AuthorsHtml":"Di Bari C1, Venkateswaran N2, Pigott D2, Devleesschauwer B1","AffiliationsHtml":"
1Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
2Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle Washington, United States
"},{"Title":"Methodological choices in brucellosis burden of disease assessment: A systematic review","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"dcf5ce63-afa3-437e-bcf1-f4194366e5a1","Html":null,"PlainText":"Foodborne and zoonotic diseases such as brucellosis present many challenges to public health and economic welfare. Researchers and public health institutes use DALYs to generate a comprehensive comparison of the population health impact of these conditions. DALY calculations, however, entail a number of methodological choices and assumptions with data gaps and uncertainties to accommodate. This review identifies existing brucellosis burden studies and analyzes their methodological choices, assumptions, and uncertainties.
Methods
A systematic search for brucellosis burden calculations was conducted in pre-selected international and grey literature databases. Using a standardized reporting framework, we evaluated each estimate on a variety of key methodological assumptions necessary to compute a DALY.
Results
Thirteen studies satisfied the inclusions criteria (human brucellosis and quantified the DALYs). One study reported estimates at the global level, the rest at national or subnational one. Most studies retrieved brucellosis epidemiological data from administrative registries. Incidence data were often estimated on the basis of laboratory-confirmed tests. Not all studies included mortality estimates (Years of Life Lost) in their assessments due to the lack of data or assumptions that brucellosis is not a fatal disease. Only two studies used a model with variable health states and disability weights. The rest used a simplified singular health state. Wide variation was seen in the duration chosen for brucellosis, ranging from 2 weeks to 4.5 years, irrespective of whether a chronic state was included. Several studies reported a detailed description of the methodological choices and assumptions used to quantify the burden of brucellosis.
Conclusion
Available brucellosis burden assessments vary widely in their methodology and assumptions. Further research is needed to better characterize the total clinical course of brucellosis and estimate case-fatality rate. Additionally, reporting of methodological choices should be improved to enhance transparency, comparability, and consistency of estimates.
Keywords: Disability-Adjusted Life Years; Methodological choices; Brucellosis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"dcf5ce63-afa3-437e-bcf1-f4194366e5a1","Title":"Ms.","FirstName":"Carlotta","LastName":"Di Bari","Position":"Research Assistant","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Di Bari C"},{"PresentationId":"dcf5ce63-afa3-437e-bcf1-f4194366e5a1","Title":"Ms.","FirstName":"Narmada","LastName":"Venkateswaran","Position":"Researcher","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Venkateswaran N"},{"PresentationId":"dcf5ce63-afa3-437e-bcf1-f4194366e5a1","Title":"Dr.","FirstName":"Grace","LastName":"Patterson","Position":"Postdoctoral Fellow","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Patterson G"},{"PresentationId":"dcf5ce63-afa3-437e-bcf1-f4194366e5a1","Title":"PhD","FirstName":"David","LastName":"Pigott","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Pigott D"},{"PresentationId":"dcf5ce63-afa3-437e-bcf1-f4194366e5a1","Title":"Mr.","FirstName":"Brecht","LastName":"Devleesschauwer","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Devleesschauwer B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dcf5ce63-afa3-437e-bcf1-f4194366e5a1","Number":1,"Affiliation":"Department of Epidemiology and Public Health, Sciensano","City":"Brussels","State":null,"Country":"Belgium","AffiliationDisplay":"Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dcf5ce63-afa3-437e-bcf1-f4194366e5a1","Number":2,"Affiliation":"Institute for Health Metrics and Evaluation, University of Washington","City":"Seattle","State":"Washington","Country":"USA","AffiliationDisplay":"Institute for Health Metrics and Evaluation, University of Washington, Seattle Washington, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dcf5ce63-afa3-437e-bcf1-f4194366e5a1","Number":3,"Affiliation":"Department of Population Medicine, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Di Bari C1, Venkateswaran N2, Patterson G3, Pigott D2, Devleesschauwer B1","AffiliationsHtml":"
1Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
2Institute for Health Metrics and Evaluation, University of Washington, Seattle Washington, USA
3Department of Population Medicine, University of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Carlotta Di Bari","TimeDisplay":null},{"ContactId":"4a0cfe92-f6c9-4bc8-862c-edd49a46f2a9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Juliette","LastName":"Di Francesco","Position":"Postdoctoral Fellow","Organization":"University of California","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Extending knowledge to improve biosecurity practices in alternative agricultural systems in the US","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Html":null,"PlainText":"Objective(s): The number of alternative farms (small-scale, backyard, and diversified farms) raising livestock and/or poultry species has increased over the past decades in the US. Challenges associated with their rapid growth include lack of access to veterinary oversight and technical information on biosecurity practices and animal health management. This may lead to an increased risk of occurrence of zoonotic and emerging diseases with potential spread to commercial farms. Therefore, there is a need to apply simple, practical biosecurity plans that are adapted for multiple species to alternative farms. Our goal was to improve uptake of biosecurity measures on alternative farms, through an outreach program targeting farmers and other professionals (e.g., extension educators, veterinarians).
Materials and methods: An online platform was developed to provide relevant tools and resources targeting alternative agricultural systems for trainers/extension educators, veterinarians, and farmers. A comprehensive online workshop series of eight webinars introduced key biosecurity concepts that participants could use to create a customized biosecurity plan for their operation. After each webinar, attendees were asked to complete a survey to evaluate the knowledge gained. Simultaneously, interviews with various stakeholders were conducted to customize the tools provided so that they met the needs of alternative farms.
Results: Preliminary results indicate that we are reaching our target audience insomuch as participants include a mix of producers, veterinarians, and extension educators. Additionally, webinars have successfully improved attendee knowledge (75% (18/24) of survey respondents reported an increase in knowledge).
Conclusion: This project implemented several levels of training for farmers and trainers to maximize efforts and create consistent messaging for alternative operations. The sequence of webinars introduced key biosecurity concepts that enabled participating farmers to develop every day and enhanced biosecurity plans for their operation, with an option for a subsequent in-person audit by our team of subject matter experts. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Title":"Ms.","FirstName":"Juliette","LastName":"Di Francesco","Position":"Postdoctoral Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Di Francesco J"},{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Title":null,"FirstName":"Amber","LastName":"Itle","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Itle A"},{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Title":null,"FirstName":"Craig","LastName":"McConnel","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"McConnel C"},{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Title":null,"FirstName":"Ragan","LastName":"Adams","Position":"Department of Clinical Sciences, School of Veterinary Medicine and Biomedical Sciences, Colorado State University","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Adams R"},{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Title":null,"FirstName":"Roselle","LastName":"Busch","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Busch R"},{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Title":null,"FirstName":"Richard Van Vleck","LastName":"Pereira","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Pereira R"},{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Title":null,"FirstName":"Terry W.","LastName":"Lehenbauer","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Lehenbauer T"},{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Title":"Dr.","FirstName":"Beatriz","LastName":"Martínez-López","Position":"Associate Professor","Affiliations":"5","IsPresenting":false,"SortOrder":8,"DisplayName":"Martínez-López B"},{"PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Title":"Ms.","FirstName":"Alda","LastName":"Pires","Position":"Associate Professor For Cooperative Extension","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Pires A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Number":1,"Affiliation":"Department Population Health and Reproduction, School of Veterinary Medicine, University Of California, Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Department Population Health and Reproduction, School of Veterinary Medicine, University Of California, Davis, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Number":2,"Affiliation":"Animal Services Division, Washington State Department of Agriculture","City":"Olympia","State":"WA","Country":"USA","AffiliationDisplay":"Animal Services Division, Washington State Department of Agriculture, Olympia WA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Number":3,"Affiliation":"Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University","City":"Pullman","State":"WA","Country":"USA","AffiliationDisplay":"Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman WA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Number":4,"Affiliation":"Department of Clinical Sciences, School of Veterinary Medicine and Biomedical Sciences, Colorado State University","City":"Fort Collins","State":"CO","Country":"USA","AffiliationDisplay":"Department of Clinical Sciences, School of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins CO, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0d7326b3-d9fa-4b28-aa60-1c4c8a2a5482","Number":5,"Affiliation":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis CA, USA"}],"AuthorsHtml":"Di Francesco J1, Itle A2, McConnel C3, Adams R4, Busch R1, Pereira R1, Lehenbauer T1, Martínez-López B5, Pires A1","AffiliationsHtml":"
1Department Population Health and Reproduction, School of Veterinary Medicine, University Of California, Davis, Davis CA, USA
2Animal Services Division, Washington State Department of Agriculture, Olympia WA, USA
3Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman WA, USA
4Department of Clinical Sciences, School of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins CO, USA
5Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis CA, USA
"}],"DisplayName":"Juliette Di Francesco","TimeDisplay":null},{"ContactId":"7cd28d04-6aca-4371-9ce5-75a0bcab8fa6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Michel","LastName":"Dione","Position":"Senior Scientist","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Financial expenditure on herd health in smallholder pig farming systems in Uganda","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c3da4b58-e0d3-444a-9da4-234629371ecf","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.A - Capacity building in national veterinary service","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"b5044e2a-58c3-4343-974c-3907352a0fb4","Html":null,"PlainText":"Objective(s)
Expenditure on herd health is informed by farmers’ risk perception among other factors. We assessed the factors that influence smallholder pigs’ farmers expenditures in herd health in Uganda.

Materials and methods
A cross-sectional survey of 959 small-holder pig farmers (75.7% male) was conducted in two districts of Uganda in April 2015. Semi-structured questionnaires were administered. A total of 482 (50.3%) farmers were from Masaka district while 477(49.3%) were residents of Lira district. Linear regression models were fitted to analyze the data to understand the factors that inform the farmers financial expenditure on herd health.

Results
The amount spent on medical treatment of pigs was significantly related to the total herd size, with annual expenditure increasing by UGX 11,672.91 (95% CI: 8,494.72 – 14,851.09, p=0.00) for every extra pig kept. Farmers with high level of education invested more money on herd health. There was an increase in expenditure of UGX 10,952.67 (95% CI: 1580.95 - 20324.38 p=0.02) on pig health for every unit increase in level of education. Farmers were ready to spend money on ASF control practices. There was an annual increase in herd health expenditure of UGX 134,560.10 (95% CI: 31777.76 - 237342.5 p=0.01) for every new ASF control practice adopted. There was a direct and significant relationship between saving money and obtaining information about ASF from fellow group members. Farmers who reported obtaining information about ASF from group members saved UGX 130,601.20 (95% CI: 74304.75 - 321871.20 p=0.01) per year for every unit increase in information obtained from group members.

Conclusion:
Extension service providers should invest in education of group members who will cascade the lessons to communities. More information on ASF leads to production savings by smallholder pig producers.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b5044e2a-58c3-4343-974c-3907352a0fb4","Title":"Dr","FirstName":"Eric","LastName":"Ogola","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Ogola E"},{"PresentationId":"b5044e2a-58c3-4343-974c-3907352a0fb4","Title":"Dr","FirstName":"Emily","LastName":"Ouma","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ouma E"},{"PresentationId":"b5044e2a-58c3-4343-974c-3907352a0fb4","Title":"Dr","FirstName":"Theodore","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Knight-Jones T"},{"PresentationId":"b5044e2a-58c3-4343-974c-3907352a0fb4","Title":"Dr","FirstName":"Michel","LastName":"Dione","Position":"Scientist","Affiliations":"4","IsPresenting":true,"SortOrder":4,"DisplayName":"Dione M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b5044e2a-58c3-4343-974c-3907352a0fb4","Number":1,"Affiliation":"Jaramogi Oginga Odinga University of Science and Technology","City":"Bondo","State":null,"Country":"Kenya","AffiliationDisplay":"Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b5044e2a-58c3-4343-974c-3907352a0fb4","Number":2,"Affiliation":"Policies, institutions and livelihoods, International Livestock Research Institute","City":"Kampala","State":null,"Country":"Uganda","AffiliationDisplay":"Policies, institutions and livelihoods, International Livestock Research Institute, Kampala, Uganda"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b5044e2a-58c3-4343-974c-3907352a0fb4","Number":3,"Affiliation":"Animal and Human Health, International Livestock Research Institute","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"Animal and Human Health, International Livestock Research Institute, Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b5044e2a-58c3-4343-974c-3907352a0fb4","Number":4,"Affiliation":"Animal and Human Health, International Livestock Research Institute","City":"Dakar","State":null,"Country":"Senegal","AffiliationDisplay":"Animal and Human Health, International Livestock Research Institute, Dakar, Senegal"}],"AuthorsHtml":"Ogola E1, Ouma E2, Knight-Jones T3, Dione M4","AffiliationsHtml":"
1Jaramogi Oginga Odinga University of Science and Technology, Bondo, Kenya
2Policies, institutions and livelihoods, International Livestock Research Institute, Kampala, Uganda
3Animal and Human Health, International Livestock Research Institute, Addis Ababa, Ethiopia
4Animal and Human Health, International Livestock Research Institute, Dakar, Senegal
"},{"Title":"Expanding the Community-Led Total Sanitation model to include animal management: a case study of One Health research and programs in Mali","Bio":null,"PresentationTypeName":"Special Session - Panel","Session":{"Id":"37900a0f-28bf-4055-9139-9e6300423525","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"3_Special Session Part 2: Systems Approaches to Promote Better Health for Animals, People and Ecosystems","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"0fca111e-eebb-4b83-bcce-e38836108e1c","Html":null,"PlainText":"\r\n\r\n","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0fca111e-eebb-4b83-bcce-e38836108e1c","Title":"Mr.","FirstName":"Michel","LastName":"Dione","Position":"Senior Scientist","Affiliations":null,"IsPresenting":true,"SortOrder":0,"DisplayName":"Dione M"}],"Affiliations":[],"AuthorsHtml":"Dione M","AffiliationsHtml":""}],"DisplayName":"Michel Dione","TimeDisplay":null},{"ContactId":"d1338d63-0f25-4187-b81c-6247dedd7be1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Doerte","LastName":"Doepfer","Position":"Professor","Organization":"University of Wisconsin","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Bayesian network analysis of dairy nutrition, automatic milking systems, and milk production. ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b4f8df75-42e5-4b50-a828-fc749df07a9a","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.C - Network Analysis","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Html":null,"PlainText":"Objective: The objective of this study was to explore the associations among nutrition variables and automatic milking systems (AMS) variables with milk production variable fat and protein corrected milk (FPCM).
Materials and Methods: A Bayesian causal network (BCN) analysis was performed on a data set of 88 North American dairy farms with AMS (Lely Industries N. V., Maassluis, the Netherlands) to explore the associations of these strategies on FPCM. The BCN analysis was repeated 1,000 times using a bootstrap and averaging model method. The arcs/connections presented in 85% of the 1,000 networks produced during the model averaging step, were selected to be included in the final BCN model.
Results: The network analysis illustrated in Figure 1 revealed that nutritional variables (diet components) converged around the nutritional variable Partially Mixed Ration Energy Concentration (PMR Mcal Conc.). The AMS variables (milking robot associated variables) converged around the AMS variable number of Milkings/Cow/Day. The network recognized the variables % Energy Offered at the Robot and kg Concentrate Offered/100kg milk as the two major connection points (nodes) between nutritional variables and production variables. The BCN analysis confirmed that increasing PMR Mcal Conc. was associated with a decrease in % Energy Offered at the Robot and kg Concentrate Offered/100kg milk and feed efficiency related to FPCM/Dry Matter Intake (DMI).
Conclusion: The BCN analysis provides a broad understanding of the nutrition and AMS variable associations and their individual influence on production, this may be used as a decision aid to advise dairy herd management.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/988286fde74c44468ba3a2721d7a103a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Title":"Ms.","FirstName":"Kelly","LastName":"Anklam","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Anklam K"},{"PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Title":"Dr.","FirstName":"Dorte","LastName":"Dopfer","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Dopfer D"},{"PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Title":"Dr.","FirstName":"Marlene","LastName":"Tremblay","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Tremblay M"},{"PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Title":"Dr.","FirstName":"Emil","LastName":"Walleser","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Walleser E"},{"PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Title":"Dr.","FirstName":"Steve","LastName":"Sweet","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Sweet S"},{"PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Title":"Dr.","FirstName":"Tom","LastName":"Sauerman","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Sauerman T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Number":1,"Affiliation":"Food Animal Production Medicine, University of Wisconsin","City":"Madison","State":"WI","Country":"USA","AffiliationDisplay":"Food Animal Production Medicine, University of Wisconsin, Madison WI, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"37dbeef5-73bf-4ad7-97ac-428de4de9d84","Number":2,"Affiliation":"Lely Inc. North America","City":"Pella","State":"IA","Country":"USA","AffiliationDisplay":"Lely Inc. North America, Pella IA, USA"}],"AuthorsHtml":"Anklam K1, Dopfer D1, Tremblay M1, Walleser E1, Sweet S2, Sauerman T2","AffiliationsHtml":"
1Food Animal Production Medicine, University of Wisconsin, Madison WI, USA
2Lely Inc. North America, Pella IA, USA
"}],"DisplayName":"Doerte Doepfer","TimeDisplay":null},{"ContactId":"c8606a18-b35a-43a4-b69b-89514e2db16b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marcus G","LastName":"Doherr","Position":"Full Professor","Organization":"Freie Universität Berlin","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/743d0c693c7f4a0da2347df919691de4","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Employment
Since 2014\tFull Professor and Head of Institute for Vet Epidemiology (FU Berlin)
2006 – 2014\tAssociate Professor and group leader, Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Switzerland
2002 - 2006\tSenior researcher in veterinary epidemiology, Vetsuisse Faculty, Universi-ty of Bern, Switzerland
1998 - 2001\tPost-doctoral researcher for BSE/Scrapie epidemiology and control, Swiss Federal Veterinary Office Vetsuisse Faculty, University of Bern, Switzer-land
1991-1993\tPostdoctoral researcher in veterinary parasitology, Hannover School of Veterinary Medicine, Germany

Education
2002\tHabilitation (senior lecturer qualification) for Veterinary Epidemiology
2002\tNational Specialist Recognition in Veterinary Epidemiology
2002\tde facto Diplomate of the European College for Veterinary Public Health
1993 - 1997\tPhD in analytic epidemiology, Epidemiology Graduate Group, University of California, Davis (USA)
1989 – 1991\tDr. med. vet. Thesis in veterinary parasitology, University of Veterinary Medicine Hannover/Germany
1983 - 1989\tStudies of Veterinary Medicine, University of Veterinary Medicine Han-nover/Germany

Research
•\tMonitoring and surveillance of diseases in populations
•\tApplication of analytic epidemiology / statistics on disease-related problems
•\tValidation of diagnostic test systems
•\tAnimal disease modelling and animal health risk assessment
•\tVeterinary Public Health
•\tVeterinary Profession, Veterinary Education

Further affiliations & activities
•\tExpert in various EU / EFSA working groups, AHAW Panel Member (2009-2012)
•\tAssociate Dean for Teaching, Veterinary Faculty, Freie Universität Berlin (2015-2019)
•\tAssociate Editor for Preventive Veterinary Medicine (2004 – 2019), Co-Editor-in-Chief (since 2020)
•\tRegistered ESEVT expert for basic sciences, European Association of Establishments for Veterinary Education (EAEVE)

","Presentations":[{"Title":"Why do we teach what we teach, and does it meet the needs of our fellow lecturers?","Bio":"Employment\r\nSince 2014\tFull Professor and Head of Institute for Vet Epidemiology (FU Berlin)\r\n2006 – 2014\tAssociate Professor and group leader, Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Switzerland\r\n2002 - 2006\tSenior researcher in veterinary epidemiology, Vetsuisse Faculty, Universi-ty of Bern, Switzerland\r\n1998 - 2001\tPost-doctoral researcher for BSE/Scrapie epidemiology and control, Swiss Federal Veterinary Office Vetsuisse Faculty, University of Bern, Switzer-land\r\n1991-1993\tPostdoctoral researcher in veterinary parasitology, Hannover School of Veterinary Medicine, Germany\r\n\r\nEducation\r\n2002\tHabilitation (senior lecturer qualification) for Veterinary Epidemiology\r\n2002\tNational Specialist Recognition in Veterinary Epidemiology\r\n2002\tde facto Diplomate of the European College for Veterinary Public Health\r\n1993 - 1997\tPhD in analytic epidemiology, Epidemiology Graduate Group, University of California, Davis (USA)\r\n1989 – 1991\tDr. med. vet. Thesis in veterinary parasitology, University of Veterinary Medicine Hannover/Germany\r\n1983 - 1989\tStudies of Veterinary Medicine, University of Veterinary Medicine Han-nover/Germany \r\n\r\nResearch\r\n•\tMonitoring and surveillance of diseases in populations\r\n•\tApplication of analytic epidemiology / statistics on disease-related problems\r\n•\tValidation of diagnostic test systems\r\n•\tAnimal disease modelling and animal health risk assessment\r\n•\tVeterinary Public Health\r\n•\tVeterinary Profession, Veterinary Education\r\n\r\nFurther affiliations & activities\r\n•\tExpert in various EU / EFSA working groups, AHAW Panel Member (2009-2012)\r\n•\tAssociate Dean for Teaching, Veterinary Faculty, Freie Universität Berlin (2015-2019)\r\n•\tAssociate Editor for Preventive Veterinary Medicine (2004 – 2019), Co-Editor-in-Chief (since 2020)\r\n•\tRegistered ESEVT expert for basic sciences, European Association of Establishments for Veterinary Education (EAEVE)\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"7773fd23-faf6-43a7-8675-56fdf517823b","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"53684981-fa50-43bd-901c-26378b68f57a","Html":null,"PlainText":"Objectives
The duration and focus on veterinary education varies considerably, and epidemiological content might be taught as a separate subject, mixed with biostatistical topics or embedded in other subjects, which highlights the interdisciplinary application of epidemiological and biostatistical principles. An often-raised question is what to teach in an introductory course in (veterinary) epidemiology.

Materials and Methods
Among the epi/biostats lecturers at the veterinary schools in Austria, Switzerland and Germany it became evident that the content that we offered had a biostatics focus and followed standard statistics textbooks. We initiated a survey among fellow lecturers of other subjects in the veterinary curriculum and asked them to rank a list of approx. 50 statistical and epidemiological competencies for relevance to their own subjects; i.e. should students know this when entering their respective course.

Results
The ranked list was used to select those competencies seen as most relevant for later subjects in the curriculum and design a one-semester (28 lecture hours) course was designed around these learning objectives and implemented in parallel at two of the veterinary schools involved. The outcome assessment showed that there was a strong correlation in final exam results between the two cohort, despite fact that they were delivered in different years (1st vs 2nd year) and by different lecturers.

Conclusions
But do we teach the “right” stuff? Do we need additional (mandatory) courses named “epidemiology” to bring our message across, or should we sneak into the minds (and courses) of our fellow lecturers and teach bits and pieces of epi and biostats where its direct application can be demonstrated. Or even be more extreme and decide that statistics should be a prerequisite to enter veterinary school and “real” epidemiology is something for postgraduate degree programs when participants want to do population level research.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"53684981-fa50-43bd-901c-26378b68f57a","Title":"Mr.","FirstName":"Marcus G","LastName":"Doherr","Position":"Full Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Doherr M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"53684981-fa50-43bd-901c-26378b68f57a","Number":1,"Affiliation":"Freie Universität Berlin","City":"Berlin","State":"Berlin","Country":"Germany","AffiliationDisplay":"Freie Universität Berlin, Berlin Berlin, Germany"}],"AuthorsHtml":"Doherr M1","AffiliationsHtml":"
1Freie Universität Berlin, Berlin Berlin, Germany
"}],"DisplayName":"Marcus G Doherr","TimeDisplay":null},{"ContactId":"e60fe4a9-98ee-4f37-ba8c-34e66753ba2c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ian","LastName":"Dohoo","Position":"Professor Emeritus","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cc773842c852438894f8ea4e104a1d09","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Discussion: Teaching veterinary epidemiology – who, what, when and how? ","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"7773fd23-faf6-43a7-8675-56fdf517823b","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[],"Authors":[{"PresentationId":"a126380e-d249-4726-9f7a-3a3dbd6f06b0","Title":"Mr.","FirstName":"Ian","LastName":"Dohoo","Position":"Professor Emeritus","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Dohoo I"}],"Affiliations":[],"AuthorsHtml":"Dohoo I","AffiliationsHtml":""},{"Title":"Use of item response theory models to evaluate a measurement scale quantifying knowledge about antimicrobial use","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"81b6468d-38a2-4f06-ba00-ba54f34eef5e","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"6066db46-5387-4e73-9959-071f9232f7c4","Html":null,"PlainText":"Measurement scales are commonly used in veterinary epidemiology for quantifying attributes which can not be measured directly. These might be an individual's knowledge on a topic based on responses to a questionnaire, or the severity of disease based on recorded symptoms. The fundamental assumption behind these scales is that there is a single latent construct which represents the subject of interest (eg. knowledge or disease severity) This is referred to as unidimensionality. While the use of scales is common, it is very seldom that either the underlying assumption is verified or that the scale is evaluated for its ability to reflect the latent construct.

In social sciences, the most common way to evaluate measurement scales is through the use of item response theory (IRT) models. We used IRT models to evaluate a scale quantifying an unmeasurable trait: knowledge of antibiotic use and resistance among Swedish dairy farmers. Data were derived from a questionnaires returned by 194 producers. Initially, tetrachoric factor analysis was used to identify 11 questions (items) that were consistent with the underlying latent variable. The ratio of the 1st to 2nd eigenvalue was 4.4, suggesting that this set of items was reasonably unidimensional.

Subsequently, a 2 parameter logistic IRT was fit to evaluate how well the set of items reflected the unidimensional latent construct (assumed to be knowledge of AMU/AMR). All items evaluated had reasonable discrimination. A comparison of ICC curves with observed mean values showed no evidence of lack of fit of the model. Overall, the model worked well to identify people with below average knowledge, but had very little ability to distinguish between with those who were average from those who were highly knowledgeable.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6066db46-5387-4e73-9959-071f9232f7c4","Title":"Prof.","FirstName":"Ian","LastName":"Dohoo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dohoo I"},{"PresentationId":"6066db46-5387-4e73-9959-071f9232f7c4","Title":"Prof.","FirstName":"Ulf","LastName":"Emanuelson","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Emanuelson U"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6066db46-5387-4e73-9959-071f9232f7c4","Number":1,"Affiliation":"University Of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"University Of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6066db46-5387-4e73-9959-071f9232f7c4","Number":2,"Affiliation":"Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Swedish University of Agricultural Sciences, Uppsala, Sweden"}],"AuthorsHtml":"Dohoo I1, Emanuelson U2","AffiliationsHtml":"
1University Of Prince Edward Island, Charlottetown PE, Canada
2Swedish University of Agricultural Sciences, Uppsala, Sweden
"}],"DisplayName":"Ian Dohoo","TimeDisplay":null},{"ContactId":"cd7a56a4-d7dd-4d79-be5d-3e23f542f70b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Charlotte","LastName":"Doidge","Position":"Research Fellow","Organization":"School of Veterinary Medicine and Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Examining the social construction of farmers’ antimicrobial stewardship knowledge: Roles, realities and reflection","Bio":null,"PresentationTypeName":"Poster (ISVEE to print/put up poster)","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9152b460-59d0-4a5b-9e1f-ecf883286fdf","Html":null,"PlainText":"Objectives:
Antimicrobial stewardship (AMS) can be considered as a socially constructed concept. The aim of this study was to understand the social processes in which farmers’ knowledge of AMS are constructed.

Materials and methods:
Semi-structured interviews were conducted with thirty-four sheep and beef farmers in England and Wales. The transcripts were analysed using reflexive thematic analysis through the lens of social constructionist theory.

Results:
Five themes were generated: (1) knower and non-knower roles; (2) adapting to multiple social realities; (3) thinking reflexively; (4) deviators of accepted standards; and (5) uses and abuses of power. Veterinarians were recognised by farmers as holding a role as a “knower” in transmitting knowledge of AMS. Farmers believed that veterinarians were able to account for multiple farming realities through adapting AMS standards for the local conditions of each farm.

Many farmers had noticed a change in the language their veterinarians used around antimicrobials over the past few years. This made farmers reflect on their own antimicrobial use. In particular, the knowledge that the routine use of prophylactic antimicrobials was unacceptable was shared amongst farmers. However, some farmers noted that “other” farmers were deviating from this accepted standard because they did not engage with social processes surrounding AMS. Communicators were seen as being in position of power that can label practices as “good” or “bad”, but this had social consequences. Farmers reported feeling stigmatized if communicators labelled their antimicrobial practices as “bad”.

Conclusion:
This research shows that active conversations between farmers and veterinarians may be a powerful way to construct AMS knowledge. It is important to consider the power dynamics between those in “knower” roles and those receiving information to ensure these conversations are effective. Focusing on common goals may prevent stigmatisation and facilitate knowledge co-production.

Keywords: antimicrobial use, qualitative, sheep, beef, social construction","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9152b460-59d0-4a5b-9e1f-ecf883286fdf","Title":"Mrs.","FirstName":"Charlotte","LastName":"Doidge","Position":"Research Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Doidge C"},{"PresentationId":"9152b460-59d0-4a5b-9e1f-ecf883286fdf","Title":"Prof.","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology & Precision Livestock Informatics","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Kaler J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9152b460-59d0-4a5b-9e1f-ecf883286fdf","Number":1,"Affiliation":"University Of Nottingham","City":"Sutton Bonington","State":"Leicestershire","Country":"United Kingdom","AffiliationDisplay":"University Of Nottingham, Sutton Bonington Leicestershire, United Kingdom"}],"AuthorsHtml":"Doidge C1, Kaler J1","AffiliationsHtml":"
1University Of Nottingham, Sutton Bonington Leicestershire, United Kingdom
"},{"Title":"Understanding sheep and beef farmers perceptions of preventing antibiotic resistance through sociological scripts","Bio":null,"PresentationTypeName":"Poster (ISVEE to print/put up poster)","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"bdae8c83-d52e-4b85-8bcc-c5f1a1ef7f09","Html":null,"PlainText":"Objectives: The aim of this study was to understand how farmers perceive and manage risks associated with antibiotic use. The study explores the role of habitus and risk in determining farmers' decisions to adopt national antibiotic reduction targets.

Materials and methods: Semi-structured interviews were conducted with 34 sheep and beef farmers in England and Wales. Data were analysed using the constant comparative method to develop sociological scripts.

Results: Respondents expressed four main scripts when considering their management of risk of antibiotic resistance on their farms: (1) Antibiotic resistance—the script of an emerging threat; (2) Good farmer habitus—the script of experienced, knowledgeable farmers; (3) Adopting preventative measures—the script of controlling risk and adopting the precautionary principle; and (4) Taking responsibility for risk—the script of risk, defence, and othering.

Farmers argued that they were experienced stockpersons and capable of evaluating symptoms, identifying the disease, and deciding on a suitable action. However, antibiotic resistance was seen as a risk to farmers’ reputations as good, profitable farmers and to the health and wellbeing of their animals. As a result, farmers had started taking measures to reduce the amount of antibiotics they used in their animals, such as improving biosecurity and increasing the uptake of vaccines. Despite attempting to reduce their antibiotic use, farmers did not fully understand antibiotic use targets and deflected responsibility of achieving the targets onto other farmers.

Conclusion: The analysis identified weaknesses in the national antibiotic use targets published in 2017. A numerical antibiotic use target could be counterproductive as most farmers did not know their numerical use. The lack of availability of antibiotic data also fosters issues with accountability for the targets. Finally, the resources available to farmers to support their responsible antibiotic use needs to be improved for targets to be achievable.

Keywords: qualitative, farmer beliefs, antibiotic use","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bdae8c83-d52e-4b85-8bcc-c5f1a1ef7f09","Title":"Mrs.","FirstName":"Charlotte","LastName":"Doidge","Position":"Research Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Doidge C"},{"PresentationId":"bdae8c83-d52e-4b85-8bcc-c5f1a1ef7f09","Title":"Professor","FirstName":"Annmarie","LastName":"Ruston","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ruston A"},{"PresentationId":"bdae8c83-d52e-4b85-8bcc-c5f1a1ef7f09","Title":"Dr","FirstName":"Fiona","LastName":"Lovatt","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Lovatt F"},{"PresentationId":"bdae8c83-d52e-4b85-8bcc-c5f1a1ef7f09","Title":"Dr","FirstName":"Chris","LastName":"Hudson","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Hudson C"},{"PresentationId":"bdae8c83-d52e-4b85-8bcc-c5f1a1ef7f09","Title":"Prof.","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology & Precision Livestock Informatics","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Kaler J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bdae8c83-d52e-4b85-8bcc-c5f1a1ef7f09","Number":1,"Affiliation":"University Of Nottingham","City":"Sutton Bonington","State":"Leicestershire","Country":"United Kingdom","AffiliationDisplay":"University Of Nottingham, Sutton Bonington Leicestershire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bdae8c83-d52e-4b85-8bcc-c5f1a1ef7f09","Number":2,"Affiliation":"Canterbury Christ Church University","City":"Canterbury","State":"Kent","Country":"United Kingdom","AffiliationDisplay":"Canterbury Christ Church University, Canterbury Kent, United Kingdom"}],"AuthorsHtml":"Doidge C1, Ruston A2, Lovatt F1, Hudson C1, Kaler J1","AffiliationsHtml":"
1University Of Nottingham, Sutton Bonington Leicestershire, United Kingdom
2Canterbury Christ Church University, Canterbury Kent, United Kingdom
"}],"DisplayName":"Charlotte Doidge","TimeDisplay":null},{"ContactId":"7135c1c3-8a43-4563-a36c-39b99dee81cd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Emmanuel","LastName":"Donbraye","Position":"Graduate Student","Organization":"University Of Saskatchewan","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e2ebb6a78472427b977220b0268431d0","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Detection of Bovine Respiratory Disease Pathogens in On-Arrival Feedlot Calves by Nanopore Metagenomic Sequencing","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"371ad4d8-fdd5-4206-a1f4-bf330f1cf66b","Html":null,"PlainText":"Objective - Bovine respiratory disease (BRD) is the costliest disease of beef cattle and respiratory viruses, and bacteria are an important cause of loss. However, current diagnostic methods involve a multi-step, costly and cumbersome process requiring individual PCR tests for each viral pathogen and culture and sensitivity testing for bacteria. Metagenomic sequencing is currently providing novel approaches to the surveillance, detection, and characterization of pathogens. This preliminary study sought to investigate the detection of BRD pathogens in calves on-arrival at the feedlot from deep nasopharyngeal swabs using Oxford Nanopore sequencing (ONT) GridION and PromethION platforms.
Materials and methods – Deep nasopharyngeal swabs were collected in the fall of 2021, at the time of arrival, from 800 high-risk calves purchased, housed, and sampled at the Livestock and Forage Center of Excellence (LFCE) Saskatoon. Nanopore metagenomic sequencing was carried out following previously described sample preparation and extraction protocols on 30 samples and nanopore sequence data was analyzed by an in-house bioinformatics pipeline. We multiplexed 6 and 24 samples respectively, for sequencing on single flow cells on the GridION and PromethION platforms.
Results – Multiple BRD pathogens were detected by both nanopore platforms in each sample. Bovine coronavirus, Bovine respiratory syncytial virus and Mannheimia haemolytica were detected in all 30 samples. Additionally, Influenza D virus was detected in all 6 GridION samples and Pasteurella multocida in all 24 PromethION samples. Other pathogens including Bovine herpesvirus 1 (67% and 92%), Histophilus somni (83% and 88%), and Mycoplasma bovis (67% and 63%) were also detected in most of the samples on the GridION and PromethION platforms.
Conclusion - We conclude that PromethION was successful in, detecting BRD pathogens in a timely, less expensive, and rapid manner in feedlot cattle in addition to the previously documented GridION platform.
Keywords: Nanopore sequencing, GridION, PromethION , BRD, calves
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"371ad4d8-fdd5-4206-a1f4-bf330f1cf66b","Title":"Dr.","FirstName":"Emmanuel","LastName":"Donbraye","Position":"Graduate Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Donbraye E"},{"PresentationId":"371ad4d8-fdd5-4206-a1f4-bf330f1cf66b","Title":"Mr.","FirstName":"Chai","LastName":"Zhijian","Position":"Research","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Zhijian C"},{"PresentationId":"371ad4d8-fdd5-4206-a1f4-bf330f1cf66b","Title":"Dr.","FirstName":"Emily","LastName":"Herman","Position":"Postdoctoral Fellow","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Herman E"},{"PresentationId":"371ad4d8-fdd5-4206-a1f4-bf330f1cf66b","Title":"Mrs.","FirstName":"Stacey","LastName":"Lacoste","Position":"Laboratory Manager","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Lacoste S"},{"PresentationId":"371ad4d8-fdd5-4206-a1f4-bf330f1cf66b","Title":"Dr.","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Waldner C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"371ad4d8-fdd5-4206-a1f4-bf330f1cf66b","Number":1,"Affiliation":"University Of Saskatchewan","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"University Of Saskatchewan, Saskatoon SK, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"371ad4d8-fdd5-4206-a1f4-bf330f1cf66b","Number":2,"Affiliation":"University of Alberta","City":"Edmonton","State":"Ab","Country":"Canada","AffiliationDisplay":"University of Alberta, Edmonton Ab, Canada"}],"AuthorsHtml":"Donbraye E1, Zhijian C1, Herman E2, Lacoste S1, Waldner C1","AffiliationsHtml":"
1University Of Saskatchewan, Saskatoon SK, Canada
2University of Alberta, Edmonton Ab, Canada
"}],"DisplayName":"Emmanuel Donbraye","TimeDisplay":null},{"ContactId":"67689ed4-da37-46db-975c-f10c8af9e2df","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"William","LastName":"Donnelly","Position":"","Organization":"University Of Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Paratuberculosis in Québec Sheep Flocks: Prevalence and Associated Risk Factors","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Html":null,"PlainText":"Objective
Paratuberculosis is a chronic, enteric disease affecting ruminants. Caused by Mycobacterium avium subsp. paratuberculosis (MAP), it is responsible for important economic losses in the sheep industry having been associated with increased mortality and decreased overall productivity. Additionally, MAP has been linked with Crohn’s disease in humans, although its exact role is not yet known.
In Québec, the prevalence of paratuberculosis in ovine flocks is undocumented but suspected to be high. This lack of documentation and the slow progression of the disease do not favorize the implementation of effective control strategies.
We aim to characterize the prevalence of MAP in Québec sheep flocks, and to identify risk factors leading to inter- and intra-herd transmission of the pathogen.

Method
Fecal samples were collected on 3000+ ewes coming from 70 randomly selected sheep flocks (10 dairy and 60 meat) in the province of Québec using a combination of random and purposive sampling targeting ewes with clinical signs suggestive of paratuberculosis. Each sample was then analyzed using an in-house IS900 qPCR to assess for the presence or absence of MAP. A questionnaire about the management practices was submitted to each flock. True prevalence will be estimated after correction for diagnostic test performance and sampling design. Risk factors for the introduction of the disease based on a logistic regression and risk factors for the transmission within the herd based on a linear mixed model with herd as a random effect will be identified.

Results
The estimated true prevalence and risk factors will be presented.

Conclusion
The estimation of the prevalence of paratuberculosis in Québec sheep flocks and the identification of its associated risk factors are essential to document the productivity losses for the province ovine industry and to tailor effective diagnostic and control strategies.

Keywords: Paratuberculosis, Sheep, Prevalence, Risk factors","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Title":"Mr.","FirstName":"William","LastName":"Donnelly","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Donnelly W"},{"PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Title":"Prof. Dr.","FirstName":"Sébastien","LastName":"Buczinski","Position":"Director of the Center of Expertise and Clinical Research in Animal Health and Welfare Full Professor, Bovine Ambulatory Clinic","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Buczinski S"},{"PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Title":"Dr.","FirstName":"Anne","LastName":"Leboeuf","Position":"Research coordinator","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Leboeuf A"},{"PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Title":"Dr.","FirstName":"Gaston","LastName":"Rioux","Position":"Health coordinator","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Rioux G"},{"PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Title":"Dr.","FirstName":"Olivia","LastName":"Labrecque","Position":"Directrice adjointe des opérations du laboratoire de santé animale","Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Labrecque O"},{"PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Title":"Dr.","FirstName":"Julie","LastName":"Arsenault","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Arsenault J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Number":1,"Affiliation":"Groupe de recherche en épidémiologie des zoonoses et santé publique and Département de pathologie et microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Groupe de recherche en épidémiologie des zoonoses et santé publique and Département de pathologie et microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Number":2,"Affiliation":"Département de pathologie et microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Département de pathologie et microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Number":3,"Affiliation":"Centre d'expertise et de recherche clinique en santé et bien-être animal and Département des sciences cliniques, Faculté de Médecine Vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Centre d'expertise et de recherche clinique en santé et bien-être animal and Département des sciences cliniques, Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Number":4,"Affiliation":"Centre d’expertise en production ovine du Québec (CEPOQ)","City":"La Pocatière","State":"QC","Country":"Canada","AffiliationDisplay":"Centre d’expertise en production ovine du Québec (CEPOQ), La Pocatière QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2bca5940-1e64-47cc-8620-02994c59856b","Number":5,"Affiliation":"Laboratoire de santé animale du Québec","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Laboratoire de santé animale du Québec, Saint-Hyacinthe QC, Canada"}],"AuthorsHtml":"Donnelly W1, Buczinski S3, Leboeuf A2, Rioux G4, Labrecque O5, Arsenault J1","AffiliationsHtml":"
1Groupe de recherche en épidémiologie des zoonoses et santé publique and Département de pathologie et microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada
2Département de pathologie et microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada
3Centre d'expertise et de recherche clinique en santé et bien-être animal and Département des sciences cliniques, Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada
4Centre d’expertise en production ovine du Québec (CEPOQ), La Pocatière QC, Canada
5Laboratoire de santé animale du Québec, Saint-Hyacinthe QC, Canada
"}],"DisplayName":"William Donnelly","TimeDisplay":null},{"ContactId":"94e1bfd2-285a-4639-b702-7acab555e49f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sithar","LastName":"Dorjee","Position":"Director Epidemiology","Organization":"Khesar Gyalpo University of Medical Sciences of Bhutan","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b6b66755f4d0499498a91238a32fc9e2","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A Novel Model of One Health Integrated Protocol for AMR Alert and Response in Bhutan ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"26d7096e-da0d-4d6e-b855-74ce32a2ffb5","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"4c08a4b6-8aa8-4eca-8e74-f6bb48bc3545","Html":null,"PlainText":"No South Asian Countries has integrated One health (coordinated or combined human health, animal health and/or food sectors) antimicrobial resistance (AMR) alert and response system including Bhutan. Functional AMR surveillance system either none existent in animal health and human health sectors or exist within human on limited basis (within a hospital or network consisting of few hospitals). There is also no timely sharing of information or coordinated response to AMR detection across many countries globally.
Therefore, the objective of developing this protocol/system was to provide mechanism to immediately notify and communicate detection of any new or AMR organisms against the priority antimicrobials across human, animal and food sectors, and trigger necessary timely response by the National AMR Technical Committee, technical working groups and inter-ministerial committee for One Health in Bhutan.
This protocol was developed based on literature review to develop a initial model, and followed by a consultative workshop amongst the one health professionals consisting of policy makers, epidemiologists, laboratory experts and clinicians from the three key sectors. This protocol will be pilot tested in Bhutan and results will be shared during the symposium. In conclusion, this novel model of One Health approach to AMR alert and response has a potential for application to wider countries, particularly to those countries with similar situation to Bhutan, where an One Health approach is institutionalized and functional. We will present the details of its design and key elements of this protocol.
The figure below shows the flow chart and key components of protocol.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"4c08a4b6-8aa8-4eca-8e74-f6bb48bc3545","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/50af81dd76914df198b1755e35213c94","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"4c08a4b6-8aa8-4eca-8e74-f6bb48bc3545","Title":"Dr.","FirstName":"Sithar","LastName":"Dorjee","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dorjee S"},{"PresentationId":"4c08a4b6-8aa8-4eca-8e74-f6bb48bc3545","Title":"Dr","FirstName":"Pem","LastName":"Chuki","Position":"Medical Superintendent","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Chuki P"},{"PresentationId":"4c08a4b6-8aa8-4eca-8e74-f6bb48bc3545","Title":null,"FirstName":"Louise","LastName":"Gresham","Position":"Special Initiatives","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Gresham L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4c08a4b6-8aa8-4eca-8e74-f6bb48bc3545","Number":1,"Affiliation":"Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan","City":"Thimphu","State":"Thimphu","Country":"Bhutan","AffiliationDisplay":"Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan, Thimphu Thimphu, Bhutan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4c08a4b6-8aa8-4eca-8e74-f6bb48bc3545","Number":2,"Affiliation":"Jigme Dorji Wangchuck National Referral Hospital","City":"Thimphu","State":"Thimphu","Country":"Bhutan","AffiliationDisplay":"Jigme Dorji Wangchuck National Referral Hospital, Thimphu Thimphu, Bhutan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4c08a4b6-8aa8-4eca-8e74-f6bb48bc3545","Number":3,"Affiliation":"Ending Pandemics","City":"San Francisco","State":"CA","Country":"USA","AffiliationDisplay":"Ending Pandemics, San Francisco CA, USA"}],"AuthorsHtml":"Dorjee S1, Chuki P1,2, Gresham L3","AffiliationsHtml":"
1Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan, Thimphu Thimphu, Bhutan
2Jigme Dorji Wangchuck National Referral Hospital, Thimphu Thimphu, Bhutan
3Ending Pandemics, San Francisco CA, USA
"},{"Title":"Bhutan’s One Health Approach to COVID-19 Pandemic Response: A Beacon of Success","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4ac74aed-14f4-4297-92b1-80d893bb7d91","Html":null,"PlainText":"COVID-19 pandemic has caused catastrophic disaster in terms of lives and livelihood across the world in 2020-2021. Bhutan, a tiny landlocked Himalayan nation also experienced multiple imported and community outbreaks but managed to achieve its elimination and zero community transmission policy as of 1st December 2021. In addition, Bhutan policy’s towards COVID-19 pandemic was saving live over livelihood until the population was vaccinated.
Bhutan is a resource poor nation and severely constraint health human resource. For instance, there is only one intensivist in the whole nation. In addition, the ministry of health has only few epidemiologists and laboratory experts to manage such a large scale COVID-19 pandemic.
Recognizing these limitations, Bhutan acted early and taken conservative approach towards COVID-19 pandemic response. As of 1st December 2021, Bhutan has lost three lives to COVID-19 but all three test positive to COVID-19 at their terminal stages of other diseases.
One Health has been institutionalized and functional in Bhutan with good professional network interacting regularly to address zoonotic diseases including AMR. As COVID-19 pandemic unfolded, Bhutan has mobilized veterinary epidemiologists to form Technical Advisory Group, laboratory experts from animal health and food sectors to support establishment of COVID-19 testing PCR laboratories at strategic locations, and cope up with surge of COVID-19 samples during community outbreaks, and decontamination experts from the biosecurity authority who were previously trained in decontamination for H5N1 outbreaks. All these strategies with strong political leadership of His Majesty the King of Bhutan, personally leading and overseeing the implementation of COVID-19 prevention and containment measures have led to exemplary and successful management of COVID-19 pandemic in Bhutan, with only <1500 community cases and three deaths. This presentation will share Bhutan’s key whole-of-society strategies including rapid vaccination strategy that were instrumental for its successful pandemic response.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4ac74aed-14f4-4297-92b1-80d893bb7d91","Title":"Dr.","FirstName":"Sithar","LastName":"Dorjee","Position":"Director Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dorjee S"},{"PresentationId":"4ac74aed-14f4-4297-92b1-80d893bb7d91","Title":"Dr.","FirstName":"Sonam","LastName":"Wangchuk","Position":"Head","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Wangchuk S"},{"PresentationId":"4ac74aed-14f4-4297-92b1-80d893bb7d91","Title":"Dr.","FirstName":"Tshokey","LastName":"Tshokey","Position":"Microbiologist","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Tshokey T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4ac74aed-14f4-4297-92b1-80d893bb7d91","Number":1,"Affiliation":"Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan","City":"Thimphu","State":"Thimphu","Country":"Bhutan","AffiliationDisplay":"Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan, Thimphu Thimphu, Bhutan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4ac74aed-14f4-4297-92b1-80d893bb7d91","Number":2,"Affiliation":"Royal Center for Disease Control, MoH","City":"Thimphu","State":"Thimphu","Country":"Bhutan","AffiliationDisplay":"Royal Center for Disease Control, MoH, Thimphu Thimphu, Bhutan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4ac74aed-14f4-4297-92b1-80d893bb7d91","Number":3,"Affiliation":"Jigme Dorji Wangchuck National Referral Hospital","City":"Thimphu","State":"Thimphu","Country":"Bhutan","AffiliationDisplay":"Jigme Dorji Wangchuck National Referral Hospital, Thimphu Thimphu, Bhutan"}],"AuthorsHtml":"Dorjee S1, Wangchuk S2, Tshokey T3","AffiliationsHtml":"
1Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan, Thimphu Thimphu, Bhutan
2Royal Center for Disease Control, MoH, Thimphu Thimphu, Bhutan
3Jigme Dorji Wangchuck National Referral Hospital, Thimphu Thimphu, Bhutan
"}],"DisplayName":"Sithar Dorjee","TimeDisplay":null},{"ContactId":"042c1d6e-7f45-460c-8747-08d723b6492b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Linda","LastName":"Dorrestein","Position":"Phd Candidate","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ad28164e44aa400c8176613449dd23ef","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/mwlite/in/lindadorrestein","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/mwlite/in/lindadorrestein","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/mwlite/in/lindadorrestein","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/mwlite/in/lindadorrestein","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Use of an online gaming tool, the Veterinary DialogueTrainer, in teaching bovine veterinary practitioners clinical communication skills: a pilot study","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c9a2d06-6c43-4fa6-9125-05c81bba4053","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.D - Enhanced Veterinary Education / Evidenced-based Veterinary Medicine","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"911c95e6-dec8-44c4-a72f-14fc79e107a9","Html":null,"PlainText":"Objective
Effective communication can aid bovine veterinarians in improving client relationships in herd health consultancy, client satisfaction, adherence to veterinary advice and patient welfare and health. Communication skills are often taught using traditional role-play training, which has limitations, e.g., time constraints, assessments and cost. The Veterinary DialogueTrainer (VDT) is a new tool mitigating these barriers. It is a serious game platform using ‘digital role-play’ with avatars, developed to enhance and assess learning outcomes, improve use of learned skills, and increase cost-effectiveness of communication training. The objective of this pilot study was to determine suitability and applicability for using the VDT.
Methods
Twenty-four Finnish bovine veterinarians participated in a communication training using the VDT. After playing the simulation participants received scores and feedback. VDT scores measure multiple aspects of communication on a 0-100% scale, based on motivational interviewing methodology and Calgary-Cambridge guidelines. Participants completed the provided simulation at least twice.
Results
Mean (±SD) number of attempts participants played the scenario was 4.1 (±2.6), with highest total score reached after a mean of 3.7 (±2.0) attempts. All participants scored <50% at the first attempt of playing the scenario, whereas most participants (n=22) increased their initial score at the second attempt. Mean score increased from 15% (±14%) to 43% (±29%) (paired T-test, p < 0.001) and the majority (n=17) of participants was able to reach a score >80% after 4.0 (±1.6) attempts.
Conclusion
Communication skills scores increased when using the VDT. Whether increased communication skills measured through VDT will improve communication skills in practice is subject of further study. However, based on these results there is likely a benefit of using the VDT in teaching and monitoring veterinary communication competencies and preparing for offline role-plays and real-life conversations in veterinary practice.

Key words: dairy cattle, herd health management, veterinary communication, farm advisory
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"911c95e6-dec8-44c4-a72f-14fc79e107a9","Title":"Miss","FirstName":"Linda","LastName":"Dorrestein","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dorrestein L"},{"PresentationId":"911c95e6-dec8-44c4-a72f-14fc79e107a9","Title":"Dr.","FirstName":"Jolanda","LastName":"Jansen","Position":"Strategic Communications Consultant and trainer","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Jansen J"},{"PresentationId":"911c95e6-dec8-44c4-a72f-14fc79e107a9","Title":"Miss","FirstName":"Tessa","LastName":"Plagis","Position":"Communication Advisor at St. Anna Advies","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Plagis T"},{"PresentationId":"911c95e6-dec8-44c4-a72f-14fc79e107a9","Title":"Dr.","FirstName":"Caroline","LastName":"Ritter","Position":"Assistant Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Ritter C"},{"PresentationId":"911c95e6-dec8-44c4-a72f-14fc79e107a9","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Barkema H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"911c95e6-dec8-44c4-a72f-14fc79e107a9","Number":1,"Affiliation":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"911c95e6-dec8-44c4-a72f-14fc79e107a9","Number":2,"Affiliation":"St. Anna Advies","City":"Nijmegen","State":null,"Country":"The Netherlands","AffiliationDisplay":"St. Anna Advies, Nijmegen, The Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"911c95e6-dec8-44c4-a72f-14fc79e107a9","Number":3,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PEI, Canada"}],"AuthorsHtml":"Dorrestein L1, Jansen J2, Plagis T2, Ritter C3, Barkema H1","AffiliationsHtml":"
1Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada
2St. Anna Advies, Nijmegen, The Netherlands
3Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PEI, Canada
"}],"DisplayName":"Linda Dorrestein","TimeDisplay":null},{"ContactId":"edc08612-edd2-49d0-a680-32bf4657e003","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Brendan","LastName":"Dougherty","Position":"Epidemiologist","Organization":"Public Health Agency Of Canada","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Burden reduction of non-typhoidal Salmonella Illness post Whole Genome Sequencing Implementation and Collective Public Health Action on Frozen Raw Breaded Chicken Products in Canada","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"ce8286a6-6258-413f-8bc9-430d7ce0277e","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.E - Food Safety","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Html":null,"PlainText":"Objectives: A substantial reduction in reported cases of non-typhoidal Salmonella (NTS) occurred in Canada in 2019 as compared to 2014-2018, following collective efforts by industry and government to reduce the burden of this pathogen. While this reduction in reported cases is notable, the observed decrease in the number of reported cases only represents a fraction of the true number of illnesses averted in the community, due to under-reporting and under-diagnosis of NTS. The objective of this study was to: 1.) apply burden of illness methodologies to estimate the number of domestically acquired non-typhoidal Salmonella (DANTS) cases averted, 2.) estimate the economic savings associated with averted cases, and 3.) demonstrate how collective, concerted actions by government and industry can be successful in reducing the burden of illness.
Materials and methods: Previous Canadian studies for estimating the number of DANTS illnesses, hospitalizations and deaths were used as a basis for this work. The economic burden includes the costs of direct medical care, lost productivity, and premature mortality. Estimates were developed using stochastic models to account for uncertainty.
Results: Compared to the previous five years, there were over 25,000 fewer illnesses, 200 fewer hospitalizations, and 2 fewer deaths attributable to DANTS in 2019. This corresponds to an estimated savings of over $26 million CAD related to healthcare and loss productivity costs due to the burden of DANTS.
Conclusion: A strategically implemented suite of public health actions, including genomics-based surveillance, policy changes, and interventions by government and industry were highly successful in reducing the economic and health burden of DANTS infections in Canada. The methods used to quantify the reductions in illness have helped shed light on the full scope and impact that the collective public health actions have had on burden of illness.
Keywords: Salmonella, Burden of Illness, Interventions","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Title":null,"FirstName":"Shiona","LastName":"Glass-Kaastra","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Glass-Kaastra S"},{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Title":"Mr.","FirstName":"Brendan","LastName":"Dougherty","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Dougherty B"},{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Title":null,"FirstName":"Andrea","LastName":"Nesbitt","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Nesbitt A"},{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Title":null,"FirstName":"Mythri","LastName":"Viswanathan","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Viswanathan M"},{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Title":null,"FirstName":"Nadia","LastName":"Ciampa","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Ciampa N"},{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Title":null,"FirstName":"Stephen","LastName":"Parker","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Parker S"},{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Title":null,"FirstName":"Celine","LastName":"Nadon","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Nadon C"},{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Title":null,"FirstName":"Diane","LastName":"MacDonald","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"MacDonald D"},{"PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Title":null,"FirstName":"Kate","LastName":"Thomas","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Thomas K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Number":1,"Affiliation":"Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Public Health Agency Of Canada","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Public Health Agency Of Canada, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"14e956f8-0747-479b-a858-a1a67aea55f0","Number":2,"Affiliation":"Division of Enteric Diseases, National Microbiology Laboratory","City":"Winnipeg","State":"MB","Country":"Canada","AffiliationDisplay":"Division of Enteric Diseases, National Microbiology Laboratory, Winnipeg MB, Canada"}],"AuthorsHtml":"Glass-Kaastra S1, Dougherty B1, Nesbitt A1, Viswanathan M1, Ciampa N1, Parker S1, Nadon C2, MacDonald D1, Thomas K1","AffiliationsHtml":"
1Centre for Food-borne, Environmental & Zoonotic Infectious Diseases, Public Health Agency Of Canada, Guelph ON, Canada
2Division of Enteric Diseases, National Microbiology Laboratory, Winnipeg MB, Canada
"}],"DisplayName":"Brendan Dougherty","TimeDisplay":null},{"ContactId":"ca527894-5727-4448-9e65-6982242c763c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alex","LastName":"Drouin","Position":"PhD student","Organization":"CIRAD / Anses","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c5f1cde3770041d5a8a936689fe0d56f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Vector competence of Mediterranean mosquitoes for Rift Valley fever virus: a meta-analysis","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f124a13e-54a1-4813-86cf-e88da83548c2","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.E - Epidemiology of emerging/zoonotic diseases","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Html":null,"PlainText":"Background
Rift Valley fever (RVF) is an arbovirosis mainly transmitted by Aedes and Culex mosquitoes. Circulation of the virus in Egypt and Libya as well as the existence of unregulated live animal trade with endemic areas raise concern about the possibility of virus incursion in other Mediterranean countries, where mosquitoes that are potentially competent for RVF virus transmission are present. Competence of vectors for a given pathogen can be assessed through laboratory experiments, but results may greatly vary according to study designs.

Objective
We systematically reviewed the literature and conducted a meta-analysis aiming to quantify vector competence of five potential important RVFV vectors in the Mediterranean basin, namely Aedes detritus, Ae. caspius, Ae. vexans, Culex pipiens and Cx. theileri.

Materials and Methods
From published laboratory studies, we extracted data allowing the estimation of five outcomes: the infection rate (IR), the dissemination rate among infected mosquitoes (DR/I), the overall dissemination rate (DR), the transmission rate among mosquitoes with a disseminated infection (TR/D) and the overall transmission rate (TR). After selecting the appropriate structure of random effects for the meta-analysis models, we assessed the effect of mosquito species and estimated the outcomes values for each species. Lastly, we evaluated the potential influence of laboratory study designs on the variability of these outcomes using meta-regressions.

Results
Thirty-four articles were included in the meta-analysis. Species had a significant effect on IR, DR/I, DR, TR/D but not on TR. Aedes caspius seemed to be the most competent vector among the five species considered.

Conclusion
Our analysis confirms that the five species of interest could be involved in RVF transmission in the Mediterranean basin, and should promote further investigation about the risk of RVF introduction in the up-to-now free region as well as reinforced surveillance in risky areas.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Title":"Mr. ","FirstName":"Alex ","LastName":"Drouin","Position":"PhD candidate","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Drouin A"},{"PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Title":"Dr. ","FirstName":"Véronique","LastName":"Chevalier","Position":"Veterinary epidemiologist","Affiliations":"2,3,4","IsPresenting":false,"SortOrder":2,"DisplayName":"Chevalier V"},{"PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Title":"Dr. ","FirstName":"Benoit","LastName":"Durand","Position":"Head of EPI Unit","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Durand B"},{"PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Title":"Dr. ","FirstName":"Thomas","LastName":"Balenghien","Position":"Veterinary entomologist","Affiliations":"2,5,6","IsPresenting":false,"SortOrder":4,"DisplayName":"Balenghien T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Number":1,"Affiliation":"Epidemiology Unit, Laboratory for Animal Health, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), University Paris-Est","City":"Maisons-Alfort","State":null,"Country":"France","AffiliationDisplay":"Epidemiology Unit, Laboratory for Animal Health, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), University Paris-Est, Maisons-Alfort, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Number":2,"Affiliation":"UMR ASTRE, French Agricultural Research Centre for International Development (CIRAD), University of Montpellier","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"UMR ASTRE, French Agricultural Research Centre for International Development (CIRAD), University of Montpellier, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Number":3,"Affiliation":"UMR ASTRE, French Agricultural Research Centre for International Development (CIRAD)","City":"Antananarivo","State":null,"Country":"Madagascar","AffiliationDisplay":"UMR ASTRE, French Agricultural Research Centre for International Development (CIRAD), Antananarivo, Madagascar"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Number":4,"Affiliation":"Epidemiology Unit, Institut Pasteur de Madagascar","City":"Antananarivo","State":null,"Country":"Madagascar","AffiliationDisplay":"Epidemiology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Number":5,"Affiliation":"UMR ASTRE, French Agricultural Research Centre for International Development (CIRAD)","City":"Rabat, 10101","State":null,"Country":"Morocco","AffiliationDisplay":"UMR ASTRE, French Agricultural Research Centre for International Development (CIRAD), Rabat, 10101, Morocco"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cbd43d47-299e-492c-b96c-4ab4132a668f","Number":6,"Affiliation":"Unité Microbiologie, Immunologie et Maladies Contagieuses, Institut Agronomique et Vétérinaire Hassan II","City":null,"State":"Rabat, 10101","Country":"Morocco","AffiliationDisplay":"Unité Microbiologie, Immunologie et Maladies Contagieuses, Institut Agronomique et Vétérinaire Hassan II, Rabat, 10101, Morocco"}],"AuthorsHtml":"Drouin A1,2, Chevalier V2,3,4, Durand B1, Balenghien T2,5,6","AffiliationsHtml":"
1Epidemiology Unit, Laboratory for Animal Health, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), University Paris-Est, Maisons-Alfort, France
2UMR ASTRE, French Agricultural Research Centre for International Development (CIRAD), University of Montpellier, Montpellier, France
3UMR ASTRE, French Agricultural Research Centre for International Development (CIRAD), Antananarivo, Madagascar
4Epidemiology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar
5UMR ASTRE, French Agricultural Research Centre for International Development (CIRAD), Rabat, 10101, Morocco
6Unité Microbiologie, Immunologie et Maladies Contagieuses, Institut Agronomique et Vétérinaire Hassan II, Rabat, 10101, Morocco
"}],"DisplayName":"Alex Drouin","TimeDisplay":null},{"ContactId":"78de8b0e-14c1-4bf6-99bf-52b4654de70d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Hélène","LastName":"Duault","Position":"Phd Student","Organization":"Anses Laboratory For Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Bovine tuberculosis outbreak reconstruction in a multi-host system: conclusions drawn from simulated data reflecting the inherent sampling bias ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"328192c0-d1c8-4b2b-9f4c-b578cfe52b34","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.E - Epidemiologic Principles and Methods (Bias)","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"055a02ed-f0bf-4f1a-bbf8-50cfcddc0449","Html":null,"PlainText":"1. Objective: Previous studies on bovine tuberculosis (bTB) outbreaks involving both cattle and wildlife have identified biases inherent in multi-host data collection. Indeed, contrary to cattle, sampling wildlife is difficult and in France, wildlife surveillance was implemented late. The aim of our study was to clarify the impact of these biases on outbreak reconstruction methods that use genomic and epidemiological data.
2. Materials and methods: We simulated a bTB outbreak involving cattle, badgers and wild boars using an existing transmission model. We simulated genetic sequences along the transmission tree according to a Jukes Cantor substitution model, a fixed mutation rate and while accounting for within-host diversity. We then implemented four sampling strategies: 1) all animals, 2) all epidemiological units (badger social groups, farms and wild boars), 3) no wild boars, and 4) wildlife only after a given date. Using the sampled sequences, we reconstructed outbreak with two methods: seqTrack and outbreaker2. We were interested in comparing the number of inter-species transmission events in the simulated outbreak to those estimated by the methods.
3. Results: Overall, outbreaker2 performed better than seqTrack and sampling strategies 1 and 2 provided the best results. When wild boar sequences were not sampled (sampling strategy 3), the proportion of badger-to-cattle and cattle-to-badger transmission increased as expected and their ratio was inversed with seqTrack. Finally, a late implementation of wildlife sampling (sampling scenario 4) also altered the results with increased transmission being predicted from cattle to wildlife for seqTrack and decreased transmission between wildlife and cattle for outbreaker2.
4. Conclusion: We demonstrate that ignoring sampling bias can lead to erroneous conclusions when reconstructing transmission trees and therefore, sampling bias should be taken into account.

Keywords: multi-host system/bovine tuberculosis/genomic epidemiology/transmission tree/sampling bias","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"055a02ed-f0bf-4f1a-bbf8-50cfcddc0449","Title":"Ms.","FirstName":"Hélène","LastName":"Duault","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Duault H"},{"PresentationId":"055a02ed-f0bf-4f1a-bbf8-50cfcddc0449","Title":"Dr","FirstName":"Benoit","LastName":"Durand","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Durand B"},{"PresentationId":"055a02ed-f0bf-4f1a-bbf8-50cfcddc0449","Title":"Dr","FirstName":"Laetitia","LastName":"Canini","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Canini L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"055a02ed-f0bf-4f1a-bbf8-50cfcddc0449","Number":1,"Affiliation":"Epidemiology Unit, Laboratory for Animal Health, Anses","City":"Maisons-Alfort","State":"Val-de-Marne","Country":"France","AffiliationDisplay":"Epidemiology Unit, Laboratory for Animal Health, Anses, Maisons-Alfort Val-de-Marne, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"055a02ed-f0bf-4f1a-bbf8-50cfcddc0449","Number":2,"Affiliation":"Faculté de médecine, Université Paris-Saclay","City":"Le Kremlin-Bicêtre","State":"Val-de-Marne","Country":"France","AffiliationDisplay":"Faculté de médecine, Université Paris-Saclay, Le Kremlin-Bicêtre Val-de-Marne, France"}],"AuthorsHtml":"Duault H1,2, Durand B1, Canini L1","AffiliationsHtml":"
1Epidemiology Unit, Laboratory for Animal Health, Anses, Maisons-Alfort Val-de-Marne, France
2Faculté de médecine, Université Paris-Saclay, Le Kremlin-Bicêtre Val-de-Marne, France
"}],"DisplayName":"Hélène Duault","TimeDisplay":null},{"ContactId":"b26ef38c-b4ff-4b11-a7e7-b6c98f20ff7b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Simon","LastName":"Dufour","Position":"Professor of Epidemiology","Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d3ee2fa6d59643c5b4ed612dfa232366","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A Bayesian latent class model for estimating diagnostic test accuracy when comparing two imperfect tests administered at different time and measuring a time-varying health event","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a8914baf-35d0-4b53-9a0e-b4a8e9182c17","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.A - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"3c4cedaa-618b-4256-a16d-6663fa9a7b59","Html":null,"PlainText":"Bayesian latent class model (LCM) are now considered as a reference method for estimating diagnostic accuracy when imperfect tests are compared. However, they do have to meet various assumptions, including that both tests are applied at the same time or that the individual status cannot change between administration of the two tests. However, in the race for developing diagnostic tests that can classify the health status of individuals earlier and earlier, the only option left is often to compare this new “early detection” test to another imperfect reference test conducted at a later time. In such case, not considering the potential change in health status between tests could lead to biased accuracy and disease prevalence estimates.
To circumvent this issue, we proposed a LCM derived from the classical Hui and Walter LCM, but that explicitly consider a potential change in health status between tests. The model is illustrated in Figure 1. Briefly, in this LCM the 4 possible combinations of test results (Ta+ Tb+, Ta+ Tb-, Ta- Tb+, and Ta- Tb-) are modelled as function of: 1) the true probability of the health event (Pd); 2) the first and second test sensitivities (Sea and Seb) and specificities (Spa and Spb); but also 3) the probability of “cure” (Pc) or of acquisition (Pi) of the health event between tests. We provide an example of application of this LCM to a study investigating early pregnancy detection in dairy cattle, in which a substantial probability of pregnancy loss is expected between tests.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"3c4cedaa-618b-4256-a16d-6663fa9a7b59","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/11e5a1bb3d2c4bb48edbcef3eafb9a9d","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"3c4cedaa-618b-4256-a16d-6663fa9a7b59","Title":"Prof.","FirstName":"Simon","LastName":"Dufour","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dufour S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3c4cedaa-618b-4256-a16d-6663fa9a7b59","Number":1,"Affiliation":"Université de Montréal","City":"St-hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Université de Montréal, St-hyacinthe QC, Canada"}],"AuthorsHtml":"Dufour S1","AffiliationsHtml":"
1Université de Montréal, St-hyacinthe QC, Canada
"}],"DisplayName":"Simon Dufour","TimeDisplay":null},{"ContactId":"51d22ca3-cb7f-4cf2-bce1-a09b62a5124b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Glen","LastName":"Duizer","Position":"Surveillance Veterinarian & Epidemiologist","Organization":"Province of Manitoba","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A Practical Framework for Developing Case Definitions for Animal Diseases","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"0862b0d0-27f4-4e0c-b764-b82525142b47","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.A - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Html":null,"PlainText":"Objective
For infectious diseases, a case definition is a set of criteria used to distinguish an epidemiological unit (e.g., individual, group, farm) infected by a pathogenic agent (a case) from one that is not infected (non- case), for a given place at a given time.
A practical case definition framework can mitigate gaps identified in current Canadian veterinary disease surveillance and response support protocols in the following areas;
•\tConsistent reporting and communication for regulated, zoonotic, and endemic diseases;
•\tEstimation of trends;
•\tIdentification of signals;
•\tManagement of outbreaks.

Materials and Methods
A collaborative process was initiated between the Canadian Animal Health Surveillance System (CAHSS), the Centre for Veterinary Epidemiological Research (CVER) at the University of Prince Edward Island, and veterinary epidemiologists in federal and provincial governments through the Veterinary Surveillance and Epidemiology Network (VSEN). First, a scoping review of peer-reviewed scientific literature and grey literature identified approaches for case definition development and necessary conditions for each approach. Subsequently, a list of core criteria for the framework was compiled based on the assessed evidence. An iterative process was used to draft and refine the framework.

Results
The final framework contained seven sections (Figure 1): background; core information (purpose and epidemiological unit); criteria decision tables (related to disease specification, host characteristics, exposure risks, diagnostic testing); and the final case definition statement. Initial validation of the framework was completed by VSEN. The framework and an accompanying instructional manual were published under creative commons license on the Canadian Animal Health Surveillance System website (www.cahss.ca).

Conclusion
A collaborative process was used to create a case definition framework for animal diseases. The framework will be used by Canadian animal health professionals and is publicly available.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/31df453560434547b569cd881156401e","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Title":"Dr.","FirstName":"Theresa","LastName":"Burns","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Burns T"},{"PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Title":"Mr.","FirstName":"Glen","LastName":"Duizer","Position":"Surveillance Veterinarian & Epidemiologist","Affiliations":null,"IsPresenting":true,"SortOrder":2,"DisplayName":"Duizer G"},{"PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Title":"Dr","FirstName":"Julie","LastName":"Paré","Position":"Epidemiologist","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Paré J"},{"PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Title":"Dr.","FirstName":"Tim","LastName":"Pasma","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Pasma T"},{"PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Title":"Dr.","FirstName":"Nancy","LastName":"deWith","Position":"Senior Veterinary Science Specialist","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"deWith N"},{"PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Title":"Dr.","FirstName":"Emilie","LastName":"Laurin","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Laurin E"},{"PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Title":"Dr.","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Sanchez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"756db7aa-21d5-4d77-8399-604ea56ba477","Number":1,"Affiliation":"Canadian Animal Health Surveillance System, Animal Health Canada","City":"Elora","State":"ON","Country":"Canada","AffiliationDisplay":"Canadian Animal Health Surveillance System, Animal Health Canada, Elora ON, Canada"}],"AuthorsHtml":"Burns T1, Duizer G, Paré J, Pasma T, deWith N, Laurin E, Sanchez J","AffiliationsHtml":"
1Canadian Animal Health Surveillance System, Animal Health Canada, Elora ON, Canada
"}],"DisplayName":"Glen Duizer","TimeDisplay":null},{"ContactId":"26f3d44f-dbef-403a-a8cf-b43272204a8e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Stacie","LastName":"Dunkle","Position":null,"Organization":"World Health Organization","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a83fd82c4a664b0eb32a71b849b83fd2","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Stacie Dunkle is an epidemiologist supporting the Tripartite to build workforce capacity for One Health. Dr. Dunkle believes that strengthening cross-sectoral collaboration is essential for deepening our understanding of zoonotic disease transmission and preventing future epidemics. She has lived and worked in countries across Asia, Africa and the Middle East over the past 15 years with organizations including the Food and Agriculture Organization, the Centers for Disease Control and Prevention, the United States Department of Agriculture and the World Health Organization. She is a veterinarian with masters degrees in geological sciences and public health and is a graduate of the Epidemic Intelligence Service at CDC. She is a diplomat of the America College of Veterinary Preventive Medicine. She currently lives near Geneva, Switzerland where she and her husband are attempting to raise three children while not eating too much cheese.

","Presentations":[{"Title":"Ecosystem Health Competencies in the One Health Field Epidemiology Competency Framework","Bio":"Stacie Dunkle is an epidemiologist supporting the Tripartite to build workforce capacity for One Health. Dr. Dunkle believes that strengthening cross-sectoral collaboration is essential for deepening our understanding of zoonotic disease transmission and preventing future epidemics. She has lived and worked in countries across Asia, Africa and the Middle East over the past 15 years with organizations including the Food and Agriculture Organization, the Centers for Disease Control and Prevention, the United States Department of Agriculture and the World Health Organization. She is a veterinarian with masters degrees in geological sciences and public health and is a graduate of the Epidemic Intelligence Service at CDC. She is a diplomat of the America College of Veterinary Preventive Medicine. She currently lives near Geneva, Switzerland where she and her husband are attempting to raise three children while not eating too much cheese. \r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"3cf91aab-335f-4e90-aa43-863c1cf33ce0","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"6_Special Session Part 2: Strengthening Veterinary Epidemiology and One Health Capacity","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Html":null,"PlainText":"Objectives: A growing recognition of the role of the environment in health has resulted from increasing anthropogenic impacts on biodiversity, global environmental change, ecosystem integrity and ecosystem function. Barriers to our understanding and management of environmentally driven diseases include a lack of transdisciplinary knowledge, collaboration with the environment sector, communication, and data sharing between health and environmental experts. We defined environment sector competencies required by One Health epidemiologists at the frontline, intermediate, and advanced levels to help address these gaps.

Methods: A technical advisory group (TAG) of international experts was convened to review and validate the One Health field epidemiology competency framework developed by a joint tripartite (FAO, OIE, WHO) working group. The TAG identified significant gaps in the environment sector, particularly in the areas of systems thinking and the linkages between health, biodiversity, ecosystems and the environment. Concurrently, FAO’s Field Training Program for Wildlife, Ecosystems, Biodiversity and the Environment (FTP-WEBE) developed a curriculum matrix through a 50 person expert consultation.

Results: TAG members who have natural resource management and environment expertise recommended two changes to the draft framework: addition of a domain on ecosystem health as well as a subdomain on systems thinking within the foundational knowledge domain. Within the ecosystem domain, five subdomains were defined: (1) biodiversity and ecosystem function, (2) wildlife and ecosystem services, (3) air, water and soil quality, (4) global environmental change, and (5) anthropogenic drivers of disease emergence; many FTP-WEBE competencies were incorporated, as well as those contributed by TAG members.

Conclusion: The addition of systems thinking and ecosystem health competencies to the One Health field epidemiology competency framework will help ensure graduates receive the necessary training for a transdisciplinary approach to addressing current and future health challenges. This work highlights the necessity of including environment experts in One Health capacity building.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":"Ms.","FirstName":"Stacie","LastName":"Dunkle","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dunkle S"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":"Mrs.","FirstName":"Barbara","LastName":"Alessandrini","Position":"Head","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Alessandrini B"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":null,"FirstName":"David","LastName":"Castellan","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Castellan D"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":"Ms.","FirstName":"Silvia","LastName":"D'albenzio","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"D'albenzio S"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":null,"FirstName":"Ravi","LastName":"Dissanayake","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Dissanayake R"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":"Ms.","FirstName":"Marion","LastName":"Muehlen","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Muehlen M"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":null,"FirstName":"Scott","LastName":"Newman","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Newman S"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":null,"FirstName":"Julio","LastName":"Pinto","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Pinto J"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":"Mr.","FirstName":"Karl","LastName":"Schenkel","Position":"Epidemiologist","Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Schenkel K"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":"Dr.","FirstName":"Heather","LastName":"Simmons","Position":"Director","Affiliations":null,"IsPresenting":false,"SortOrder":10,"DisplayName":"Simmons H"},{"PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Title":null,"FirstName":"Ahmed","LastName":"Zaghloul","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":11,"DisplayName":"Zaghloul A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Number":1,"Affiliation":"Food and Agriculture Organization","City":"Rome","State":null,"Country":"Italy","AffiliationDisplay":"Food and Agriculture Organization, Rome, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Number":2,"Affiliation":"World Organisation for Animal Health","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"World Organisation for Animal Health, Paris, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db73cc95-4d67-46d3-948b-07a34292dd49","Number":3,"Affiliation":"World Health Organization","City":"Geneva","State":null,"Country":"Switzerland","AffiliationDisplay":"World Health Organization, Geneva, Switzerland"}],"AuthorsHtml":"Dunkle S1, Alessandrini B, Castellan D, D'albenzio S, Dissanayake R, Muehlen M, Newman S, Pinto J, Schenkel K, Simmons H, Zaghloul A","AffiliationsHtml":"
1Food and Agriculture Organization, Rome, Italy
2World Organisation for Animal Health, Paris, France
3World Health Organization, Geneva, Switzerland
"}],"DisplayName":"Stacie Dunkle","TimeDisplay":null},{"ContactId":"aacf40e9-683b-4047-92a7-19869151d37d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marie-Cécile","LastName":"Dupas","Position":"","Organization":"Université Libre De Bruxelles","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"mcdupas","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"mcdupas","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=mcdupas","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=mcdupas","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Spatial distribution of poultry farms using point pattern modelling: a methodology to address disease transmission risks","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7e30a9c-236f-4ba3-b0a6-7c7cd4fd235d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.D - Infectious Disease Modeling","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Html":null,"PlainText":"The distribution of farm locations and sizes is paramount to characterize disease spread patterns. With some regions undergoing rapid intensification of livestock production, resulting in increased clustering of farms in peri-urban areas, measuring changes in the spatial distribution of farms is crucial to design effective interventions. However, those data are not available in many countries, their generation being resource-consuming. Here, we develop a farm distribution model (FDM), which allows predicting locations and sizes of poultry farms in countries with scarce data.

It combines (i) a Log-Gaussian Cox process model simulating the farm distribution as a spatial Poisson point process with logarithm varying intensity depending on covariates, conserving the level of clustering of spatial points patterns, and (ii) a random forest (RF) model simulating farm sizes (i.e. the number of animals per farm). Spatial predictors are used to calibrate the FDM on intensive broiler and layer farm distributions in Bangladesh, Gujarat (Indian province) and Thailand.

The LGCP and RF models yielded realistic farm distributions in terms of spatial clustering, farm locations and sizes, while providing insights on spatial analysis of the poultry production systems and spatial clustering drivers. Finally, we tested disease transmission scenarios with an individual-based model on an array of spatial distributions of farms, with transmission intensity being weighted by a spatial kernel. We found that farm distributions generated from the LGCP and RF models yielded spreading patterns consistent with simulations using observed data, while random point pattern models yielded radically different patterns. Indeed, spatial clustering increases vulnerability to epidemics, highlighting the relevance of spatial clustering and farm sizes to study epidemic spread.

As the FDM maintains a realistic distribution of farms and their size, its use to inform mathematical models of disease transmission is very relevant for regions where these data are not available.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Title":"Dr.","FirstName":"Marie-Cécile","LastName":"Dupas","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dupas M"},{"PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Title":"Dr","FirstName":"Francesco ","LastName":"Pinotti","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Pinotti F"},{"PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Title":"Dr","FirstName":"José","LastName":"Lourenço","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Lourenço J"},{"PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Title":null,"FirstName":null,"LastName":"One Health Poultry Hub consortium","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"One Health Poultry Hub consortium"},{"PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Title":"Dr","FirstName":"Marius","LastName":"Gilbert","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Gilbert M"},{"PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Title":"Dr","FirstName":"Guillaume","LastName":"Fournié","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Fournié G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Number":1,"Affiliation":"Université Libre De Bruxelles","City":"Ixelles","State":"Bruxelles","Country":"Belgium","AffiliationDisplay":"Université Libre De Bruxelles, Ixelles Bruxelles, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Number":2,"Affiliation":"University of Oxford","City":"Oxford","State":null,"Country":"United Kingdom","AffiliationDisplay":"University of Oxford, Oxford, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cc46ecd2-3bf0-4237-96a7-ec04c0b3477d","Number":3,"Affiliation":"Royal Veterinary College","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, London, United Kingdom"}],"AuthorsHtml":"Dupas M1, Pinotti F2, Lourenço J2, One Health Poultry Hub consortium, Gilbert M1, Fournié G3","AffiliationsHtml":"
1Université Libre De Bruxelles, Ixelles Bruxelles, Belgium
2University of Oxford, Oxford, United Kingdom
3Royal Veterinary College, London, United Kingdom
"}],"DisplayName":"Marie-Cécile Dupas","TimeDisplay":null},{"ContactId":"17d06cc0-dcb4-471a-b09a-bbfd6d7c34fc","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Johanna","LastName":"Dups-Bergmann","Position":"","Organization":"Friedrich-Loeffler-Institut","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"An inventory of zoonotic and food-borne disease surveillance systems: Exploring the One health knowledge base","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"bb86a92e-d2a5-40ee-a236-98aaa56c7ae5","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.D - One Health","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"779e8887-6ae1-4401-9130-56e333404503","Html":null,"PlainText":"Objectives: Effective disease-management is often underpinned by surveillance data. For zoonotic and food-borne diseases that benefit from a One Health (OH) approach, data from multiple surveillance systems are often required. However, identifying and accessing these data can be difficult. To address this problem, we aimed to develop an accessible inventory of the zoonotic and food-borne disease surveillance systems in existence across Europe.

Materials and methods: We created spreadsheet-based questionnaires to collect uniform data describing relevant surveillance systems from each of the following sectors: animal health, public health, and food safety. The variables for inclusion were determined by consensus selection following several rounds of consultation with European Joint Programme ’ORION’ project members and stakeholders. Final questionnaires were then sent to all European Joint Programme ‘ORION’ and ‘MATRIX’ project partners for data contribution. Contributed data were uploaded to an interactive purpose-built web-based application (https://shiny.fli.de/ife-apps/EJPOrion_WP2Epi/), developed using the “Shiny” package of the R programming language. Data of the inventory were descriptively analysed using RStudio.

Results: As of 8 February 2022, the inventory contained 216 entries for public health, 299 for animal health and 204 for food safety. Altogether, surveillance systems were reported for over 90 unique pathogens. Analysis of the data revealed several instances of the same pathogen under surveillance across all three sectors within a country, demonstrating scope for cross-sectoral surveillance based on existing systems. However, inter-sectoral differences were observed in the definitions of common terminologies, and in various surveillance elements such as system objectives, sampling context and sampling strategy.

Conclusions: Overall, the inventory provides an accessible record of surveillance systems for food-borne and zoontic diseases in Europe, facilitating information exchange across sectors and countries for improved OH approaches to disease management. Furthermore, the results of our analysis support improved cross-sectoral understanding of the differences in the surveillance approaches from each sector.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"779e8887-6ae1-4401-9130-56e333404503","Title":"Dr.","FirstName":"Johanna","LastName":"Dups-Bergmann","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dups-Bergmann J"},{"PresentationId":"779e8887-6ae1-4401-9130-56e333404503","Title":"Dr","FirstName":"Jörn","LastName":"Gethmann","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gethmann J"},{"PresentationId":"779e8887-6ae1-4401-9130-56e333404503","Title":"Ms","FirstName":"Ann-Kathrin","LastName":"Güttner","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Güttner A"},{"PresentationId":"779e8887-6ae1-4401-9130-56e333404503","Title":"Dr","FirstName":"Fernanda","LastName":"Dórea","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Dórea F"},{"PresentationId":"779e8887-6ae1-4401-9130-56e333404503","Title":"Professor","FirstName":"Franz J.","LastName":"Conraths","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Conraths F"},{"PresentationId":"779e8887-6ae1-4401-9130-56e333404503","Title":"Dr","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Sauter-Louis C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"779e8887-6ae1-4401-9130-56e333404503","Number":1,"Affiliation":"Friedrich Loeffler Institut","City":"Riems","State":"Mecklenburg-vorpommern","Country":"Germany","AffiliationDisplay":"Friedrich Loeffler Institut, Riems Mecklenburg-vorpommern, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"779e8887-6ae1-4401-9130-56e333404503","Number":2,"Affiliation":"Swedish National Veterinary Institute","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Swedish National Veterinary Institute, Uppsala, Sweden"}],"AuthorsHtml":"Dups-Bergmann J1, Gethmann J1, Güttner A1, Dórea F2, Conraths F1, Sauter-Louis C1","AffiliationsHtml":"
1Friedrich Loeffler Institut, Riems Mecklenburg-vorpommern, Germany
2Swedish National Veterinary Institute, Uppsala, Sweden
"}],"DisplayName":"Johanna Dups-Bergmann","TimeDisplay":null},{"ContactId":"c87ca4cc-facd-48c8-abae-ddad5e5b6120","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mona","LastName":"Dverdal Jansen","Position":"Researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6b0bd84d92ca4cc4b1e96ebbf19126ef","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Mona Dverdal Jansen is a veterinary epidemiologist working at the Norwegian Veterinary Institute. She works on a diverse range of epidemiological aspect in relation to salmonid aquaculture, including surveillance and control of infectious diseases and diagnostic test evaluations. In addition, she contributes to other areas of aquaculture research, including life cycle assessments and economic impact assessments. A significant part of her work is related to research and support under the OIE Collaborating Centre for Epidemiology and Risk Assessment of Aquatic Animal Diseases (Europe). Areas of work include biosecurity assessments, descriptive and analytical epidemiological investigations, surveillance system designs and economic impact assessments in African and Asian aquaculture.","Presentations":[{"Title":"Contributions of Epidemiology to Fish Health and Infectious Disease in the Face of Climate Change","Bio":"Dr. Mona Dverdal Jansen is a veterinary epidemiologist working at the Norwegian Veterinary Institute. She works on a diverse range of epidemiological aspect in relation to salmonid aquaculture, including surveillance and control of infectious diseases and diagnostic test evaluations. In addition, she contributes to other areas of aquaculture research, including life cycle assessments and economic impact assessments. A significant part of her work is related to research and support under the OIE Collaborating Centre for Epidemiology and Risk Assessment of Aquatic Animal Diseases (Europe). Areas of work include biosecurity assessments, descriptive and analytical epidemiological investigations, surveillance system designs and economic impact assessments in African and Asian aquaculture.","PresentationTypeName":"Plenary Lecture","Session":{"Id":"e76b7310-b814-435c-9b30-fc714d45b57e","Date":"2022-08-10T00:00:00+00:00","StartTime":"08:30:00","EndTime":"09:30:00","Name":"KEYNOTE Contributions of Epidemiology to Fish Health and Infectious Disease in the Face of Climate Change","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"8:30 AM - 9:30 AM"},"Documents":[{"PresentationId":"9b39aba7-1552-4ed0-b942-a4371b253690","Html":null,"PlainText":"Climate change is predicted to significantly affect both marine and freshwater environments, with subsequent impacts on both wild and farmed fish populations. In combination with increased resource competition, this is a One Health challenge that may ultimately threaten aquatic food system security and sustainability. However, there are significant variation in vulnerability depending on geographical location and, for farmed populations, aquaculture type. It is expected that climate change will increase the geographic range, seasonality and intensity of transmission of many infectious diseases. At the same time, warming sea temperatures may reduce the impact of some diseases currently affecting aquatic species in cooler waters. Exotic, emerging, and new diseases are likely to become an increasing challenge, as is non-infectious challenges such as harmful algal blooms. Increased transboundary movement of stocks may exacerbate disease emergence and facilitate the spread of infectious agents. Resource competition, flooding and increased risk of escapees may result in reduced biosecurity and facilitate disease spread between populations.
Epidemiologists have key competences that must be utilised to predict and reduce the consequences of climate change on fish health and welfare. Existing and predicted data should be used to model expected impacts on fish populations and explore the likely effects of possible mitigation and adaptation policies. An improved, common understanding of likely scenarios amongst researchers, policy makers and industry actors will facilitate identification of possible actions. By identifying knowledge gaps as early as possible, required research and capacity building activities may be initiated to meet future needs. Enhanced surveillance and monitoring of aquatic animal disease events across species and production systems is required to further our understanding of the global burden of aquatic animal diseases. Increased interdisciplinary research, as well as international, national and local collaboration, and improved sharing of available knowledge is essential for risk assessments and identification of cost-effective mitigation and adaptation strategies. Ultimately, such collaborative efforts should facilitate preparedness amongst research communities, policy makers and industry actors to ensure the sustainability and resilience of aquaculture and aquatic food systems in the face of climate change.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9b39aba7-1552-4ed0-b942-a4371b253690","Title":"Dr.","FirstName":"Mona","LastName":"Dverdal Jansen","Position":"Researcher","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Dverdal Jansen M"}],"Affiliations":[],"AuthorsHtml":"Dverdal Jansen M","AffiliationsHtml":""}],"DisplayName":"Mona Dverdal Jansen","TimeDisplay":null},{"ContactId":"125883ca-da1b-4224-a9e2-3895223e5548","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Francis","LastName":"Edwardes","Position":"Phd Student","Organization":"Wageningen University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f8016287045e485abba3c993d5818fad","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"EdwardesFrancis","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"EdwardesFrancis","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=EdwardesFrancis","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=EdwardesFrancis","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"My sensor beeped: The economic and animal welfare gains","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"cc7a8d79-a5d9-425d-85cb-1529a5b8b0dc","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.E - Animal welfare","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"4038c5e7-33af-4847-8111-aae338d02fbe","Html":null,"PlainText":"Background: Sub-optimal mobility (SOM; syn. lameness) in dairy production is a costly health condition with negative animal welfare effects. Implementing new management strategies are needed to reduce the economic burden of SOM while increasing animal welfare. Such management strategies may incorporate precision livestock farming (PLF) technologies.

Objective: The objective of our study was to assess the economic and welfare trade-offs of managing SOM with PLF technologies.

Materials and methods: We quantified herd-level SOM costs and welfare impacts with stochastic simulation modelling and drew comparisons between a farm with and without PLF technologies, i.e. automatic SOM detection sensors (ASDS). SOM was described by 5 mobility scores. SOM costs were quantified with a partial budgeting approach. Animal welfare was quantified by multiplying mobility score durations with welfare compromise weights per mobility score. We simulated 80 different scenarios for a farm with ASDS. Scenarios differed by sensor performance and SOM management strategies.

Results: Results from 41/80 scenarios showed added value in both economic and welfare domains; the optimum scenario obtained a 49% reduction in SOM costs and a 92% improvement in animal welfare. The remaining scenarios showed added value in only the economic (1/80), welfare (37/80), or neither (1/80) domain.

Conclusion: We conclude that the economic burden of SOM can be reduced while improving the overall welfare status of the herd. This can be achieved by implementing new management strategies that incorporate PLF technologies.

Keywords: Sub-optimal mobility; animal welfare; bioeconomic simulation modelling; precision livestock farming
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4038c5e7-33af-4847-8111-aae338d02fbe","Title":"Mr.","FirstName":"Francis","LastName":"Edwardes","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Edwardes F"},{"PresentationId":"4038c5e7-33af-4847-8111-aae338d02fbe","Title":"Dr","FirstName":"Mariska","LastName":"van der Voort","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"van der Voort M"},{"PresentationId":"4038c5e7-33af-4847-8111-aae338d02fbe","Title":"Prof","FirstName":"Henk","LastName":"Hogeveen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Hogeveen H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4038c5e7-33af-4847-8111-aae338d02fbe","Number":1,"Affiliation":"Business Economics Group, Wageningen University and Research","City":"Hollandseweg 1, 6706 KN, Wageningen","State":"Gelderland","Country":"Netherlands","AffiliationDisplay":"Business Economics Group, Wageningen University and Research, Hollandseweg 1, 6706 KN, Wageningen Gelderland, Netherlands"}],"AuthorsHtml":"Edwardes F1, van der Voort M1, Hogeveen H1","AffiliationsHtml":"
1Business Economics Group, Wageningen University and Research, Hollandseweg 1, 6706 KN, Wageningen Gelderland, Netherlands
"}],"DisplayName":"Francis Edwardes","TimeDisplay":null},{"ContactId":"ea3ed8bb-2f63-4c37-9dc2-0c64378c5ea6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Claudia","LastName":"Egle","Position":"","Organization":"Clinic for Swine, Vetsuisse Faculty, University of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Pig Health Info System: Systematic recording and continuous analysis of health data to improve pig disease surveillance","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"656c86b3-a729-4d2e-b7be-786b63e48b62","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.E - Surveillance and Monitoring","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Html":null,"PlainText":"Although a wide spectrum of data is already recorded by different stakeholders involved in Swiss pig production, information about the current health status of the population is hardly available. However, this would be information of high value, particularly with regard to early detection of infectious disease outbreaks. To make this data available and usable for health surveillance, a smartphone app is developed to record examination findings, a corresponding database is set up to store and analyze the data and a dashboard is established to visualize real-time data and analysis results.

The veterinarians are provided with an app that allows documenting examination results in a homogenous and well-structured manner. They can enter symptoms or diagnoses, but also information about surroundings, e.g. animal environment, and herd management. The veterinarians decide case-related about the extent of the documentation. Moreover, the app can be used to record results of post-mortem examinations or lab analyses. As soon as an examination recording has been completed, a report is automatically generated that can be sent to the farmer and any other recipient by e-mail.

All data recorded using the app is stored in a database and analyzed continuously in order to notice any local or temporal accumulation of certain symptoms or diagnoses as early as possible. If changes are assessed as relevant, the veterinarians in the affected area are informed by push notifications. Additionally, the recorded symptoms and diagnoses are displayed in a publicly available dashboard that allows filtering for regions and animal categories.

The developed system is expected to improve early detection of health threats, and hence enables the initiation of adequate control measures to stop spreading at an earlier stage. In this way, it does not only increase animal health and welfare, but also decrease required effort and expenses to cope with disease outbreaks.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Title":"Dr.","FirstName":"Claudia","LastName":"Egle","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Egle C"},{"PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Title":null,"FirstName":"Hugues","LastName":"Michel","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Michel H"},{"PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Title":null,"FirstName":"Francesco","LastName":"Romeo","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Romeo F"},{"PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Title":"Prof.","FirstName":"Xaver","LastName":"Sidler","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Sidler X"},{"PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Title":"Prof.","FirstName":"Ulrich","LastName":"Fiedler","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Fiedler U"},{"PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Title":"Prof.","FirstName":"Heiko","LastName":"Nathues","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Nathues H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Number":1,"Affiliation":"Clinic for Swine, Vetsuisse Faculty, University of Bern","City":"Bern","State":null,"Country":"Switzerland","AffiliationDisplay":"Clinic for Swine, Vetsuisse Faculty, University of Bern, Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Number":2,"Affiliation":"Department of Engineering and Information Technology, Bern University of Applied Sciences","City":"Biel-Bienne","State":null,"Country":"Switzerland","AffiliationDisplay":"Department of Engineering and Information Technology, Bern University of Applied Sciences, Biel-Bienne, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0a4e00a7-e41f-4627-94e4-e2b818d9a541","Number":3,"Affiliation":"Division of Swine Medicine, Department of Farm Animals, Vetsuisse Faculty, University of Zurich","City":"Zurich","State":null,"Country":"Switzerland","AffiliationDisplay":"Division of Swine Medicine, Department of Farm Animals, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland"}],"AuthorsHtml":"Egle C1, Michel H2, Romeo F2, Sidler X3, Fiedler U2, Nathues H1","AffiliationsHtml":"
1Clinic for Swine, Vetsuisse Faculty, University of Bern, Bern, Switzerland
2Department of Engineering and Information Technology, Bern University of Applied Sciences, Biel-Bienne, Switzerland
3Division of Swine Medicine, Department of Farm Animals, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
"}],"DisplayName":"Claudia Egle","TimeDisplay":null},{"ContactId":"c56b283f-0d10-408a-88e6-0ad961c1c6d4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"John Eddie","LastName":"Ekakoro","Position":"Postdoctoral Associate","Organization":"Cornell University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b22e92e82be742509c8ad0443f7c2f49","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"African swine fever in pigs slaughtered in central Uganda: Clinical, pathological, serological, and molecular findings ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8a66c6ff-c5a9-4704-8203-389831703a78","Html":null,"PlainText":"Objective

African swine fever (ASF) is an infectious disease of pigs caused by a DNA virus in the family Asfarviridae. Although ASF is endemic in Uganda, there is not a comprehensive understanding of its clinical and pathological presentation as well as its distribution there. The objective of this study is to compare the clinical and pathological presentation of ASF at the time of sample collection at pig slaughterhouses in central Uganda to the serological and molecular diagnostic findings.

Materials and methods

This study is ongoing and so far, 459 pigs out of 1200 have been systematically sampled from six slaughterhouses in Uganda. Clinical and pathological scoring algorithms capture the ASF clinical signs and lesions, and serum is tested for antibodies against ASFV using Ingenasa’s indirect ELISA and molecular testing with qPCR will be conducted. Appropriate statistical analyses will be conducted to assess agreement between the four diagnostic tools.

Results

Early results showed three out of 459 (0.65%, 95%CI: 0.13%, 2%) samples had antibodies against ASFV. Of the 459 samples, 332 have had clinical and pathological data compiled. 329 out of 332 pigs did not have antibodies to ASFV but did show clinical signs or lesions that are commonly found with ASFV infection. Ninety-six (31.2%) out of 308 pigs had skin discolorations, 43.3% of 328 had hemorrhagic spleens, and 48.5% of 328 had enlarged/hemorrhagic gastro-hepatic lymph nodes. There are no PCR results yet.

Conclusions

Early results show a low seroprevalence of ASFV in central Ugandan slaughterhouse swine. However, the clinical and pathological results show that more than 30% of pigs slaughtered may have clinical signs and lesions observed in ASF, suggesting low survival from ASF and potentially no chronic disease state. The molecular diagnostic testing and sequencing that will be conducted later will provide insights into the ASF situation in Uganda.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8a66c6ff-c5a9-4704-8203-389831703a78","Title":"Dr.","FirstName":"John Eddie","LastName":"Ekakoro","Position":"Postdoctoral Associate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ekakoro J"},{"PresentationId":"8a66c6ff-c5a9-4704-8203-389831703a78","Title":"Mrs.","FirstName":"Edrine","LastName":"Kayaga","Position":"Student/ Lab Technician","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kayaga E"},{"PresentationId":"8a66c6ff-c5a9-4704-8203-389831703a78","Title":"Ms","FirstName":"Chelsea","LastName":"Hauser","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Hauser C"},{"PresentationId":"8a66c6ff-c5a9-4704-8203-389831703a78","Title":"Dr.","FirstName":"Dickson","LastName":"Ndoboli","Position":"Research Associate","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Ndoboli D"},{"PresentationId":"8a66c6ff-c5a9-4704-8203-389831703a78","Title":"Dr","FirstName":"Edward","LastName":"Wampande","Position":"Senior Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Wampande E"},{"PresentationId":"8a66c6ff-c5a9-4704-8203-389831703a78","Title":"Dr","FirstName":"Karyn","LastName":"Havas","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Havas K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8a66c6ff-c5a9-4704-8203-389831703a78","Number":1,"Affiliation":"Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca NY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8a66c6ff-c5a9-4704-8203-389831703a78","Number":2,"Affiliation":"School of Veterinary Medicine and Animal Resources, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University","City":"Kampala","State":null,"Country":"Uganda","AffiliationDisplay":"School of Veterinary Medicine and Animal Resources, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda"}],"AuthorsHtml":"Ekakoro J1, Kayaga E2, Hauser C1, Ndoboli D2, Wampande E2, Havas K1","AffiliationsHtml":"
1Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca NY, USA
2School of Veterinary Medicine and Animal Resources, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
"},{"Title":"An investigation of the differential diagnoses of African swine fever in pigs slaughtered in central Uganda ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"656196a0-ba89-4dd6-bb39-70d66d24d9c2","Html":null,"PlainText":"Objective

African swine fever (ASF) is a highly infectious viral disease of pigs that is endemic in Uganda. Several pathogens like swine influenza virus (SIV), porcine reproductive and respiratory syndrome virus (PRRSV), classical swine fever virus (CSFV) and Salmonella spp., can cause clinical signs and lesions similar to those caused by African swine fever virus (ASFV) making the clinical diagnosis of ASF difficult. Little is known about the occurrence of SIV, PRRSV, CSFV and Salmonella spp. in pigs in Uganda. The objective of this study is to determine the prevalence of SIV, PRRSV, CSFV, and Salmonella spp. in slaughterhouse pigs in Uganda.

Materials and methods

At least 1200 pigs will be sampled from six abattoirs (Wambizzi, Lusanja, Budo, Katabi, Buwate and Kyetume) from May 2021 through June 2022. So far, 296 serum samples have been analyzed for the presence of antibodies against SIV and PRRSV using the Ingenasa’s SIV and PRRS indirect ELISAs respectively. For each pathogen, the ELISA positivity rate and 95% confidence interval was calculated. Culture of samples for Salmonella spp. and testing for CSFV using qPCR will be completed.

Results

Of the 296 pig sera analyzed, 258 (87.2%, 95%CI: 82.84%, 90.53%) had antibodies against SIV and six (2.03%, 95%CI: 0.83%, 4.5%) had antibodies against PRRSV. One pig that was seronegative to ASFV, was seropositive to PRRSV, and had clinical signs and lesions observed in ASF. Active infection by ASFV cannot be ruled out in this pig until further testing using qPCR is completed.

Conclusions

Early data suggests a high-level of exposure to SIV and low exposure to PRRSV. The presence of these viruses in Uganda could make early diagnosis of ASF difficult because in the early stages of ASF, clinical signs and lesions maybe non-specific and similar to those observed in infections with these viruses.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"656196a0-ba89-4dd6-bb39-70d66d24d9c2","Title":"Dr.","FirstName":"John Eddie","LastName":"Ekakoro","Position":"Postdoctoral Associate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ekakoro J"},{"PresentationId":"656196a0-ba89-4dd6-bb39-70d66d24d9c2","Title":"Mrs.","FirstName":"Edrine","LastName":"Kayaga","Position":"Student/ Lab Technician","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kayaga E"},{"PresentationId":"656196a0-ba89-4dd6-bb39-70d66d24d9c2","Title":"Ms","FirstName":"Chelsea","LastName":"Hauser","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Hauser C"},{"PresentationId":"656196a0-ba89-4dd6-bb39-70d66d24d9c2","Title":"Dr.","FirstName":"Dickson","LastName":"Ndoboli","Position":"Research Associate","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Ndoboli D"},{"PresentationId":"656196a0-ba89-4dd6-bb39-70d66d24d9c2","Title":"Dr","FirstName":"Edward","LastName":"Wampande","Position":"Senior Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Wampande E"},{"PresentationId":"656196a0-ba89-4dd6-bb39-70d66d24d9c2","Title":"Dr","FirstName":"Karyn","LastName":"Havas","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Havas K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"656196a0-ba89-4dd6-bb39-70d66d24d9c2","Number":1,"Affiliation":"Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca NY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"656196a0-ba89-4dd6-bb39-70d66d24d9c2","Number":2,"Affiliation":"School of Veterinary Medicine and Animal Resources, College of Veterinary Medicine, Animal Resources, and Biosecurity, Makerere University","City":"Kampala","State":null,"Country":"Uganda","AffiliationDisplay":"School of Veterinary Medicine and Animal Resources, College of Veterinary Medicine, Animal Resources, and Biosecurity, Makerere University, Kampala, Uganda"}],"AuthorsHtml":"Ekakoro J1, Kayaga E2, Hauser C1, Ndoboli D2, Wampande E2, Havas K1","AffiliationsHtml":"
1Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca NY, USA
2School of Veterinary Medicine and Animal Resources, College of Veterinary Medicine, Animal Resources, and Biosecurity, Makerere University, Kampala, Uganda
"}],"DisplayName":"John Eddie Ekakoro","TimeDisplay":null},{"ContactId":"6a921c6b-9b4b-4e70-8f9a-f6a5c2748c1f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ehud","LastName":"Elnekave","Position":"","Organization":"The Hebrew University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"twitter.com/Vet_PubHealth?t=i1lfvZu88n9lvlwKdHdXXQ&s=09","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/ehud-udi-elnekave-88442b9b","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"twitter.com/Vet_PubHealth?t=i1lfvZu88n9lvlwKdHdXXQ&s=09","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/ehud-udi-elnekave-88442b9b","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=twitter.com/Vet_PubHealth?t=i1lfvZu88n9lvlwKdHdXXQ&s=09","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/ehud-udi-elnekave-88442b9b","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=twitter.com/Vet_PubHealth?t=i1lfvZu88n9lvlwKdHdXXQ&s=09","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/ehud-udi-elnekave-88442b9b","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"The spread of the emerging Salmonella Muenchen in the poultry production system in Israel and possible implication on its control ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Html":null,"PlainText":"Objectives: Since 2017, Salmonella Muenchen, previously not common in Israel, has been increasingly identified in both human clinical cases, animal and food sources. However, its increase was poorly traced due to restricted serotyping of Salmonella from poultry origin since 2019. We aimed at developing a rapid and cost-effective method for its detection, and to estimate its prevalence in breeding chicken flocks in Israel. Moreover, we aimed at tracing its transmission between breeding and broiler flocks.
Materials and methods: Using unique genetic markers, a multiplex-PCR for S. Muenchen detection was designed. Sensitivity and specificity were determined by comparison to a dataset of 18,282 assemblies of 37 serotypes in-silico, and analysis of 105 isolates of 53 serotypes in-vitro. Serogroup C isolates recovered as part of the national sampling scheme in breeding flocks during 2021, were scanned for detection of S. Muenchen. Moreover, 43 and 35 broiler flocks originating from 13 and 9 breeding flocks positive to S. Muenchen (at least 2 consecutive tests) or negative to Salmonella (at least 3 consecutive tests), respectively, were sampled and tested for S. Muenchen presence.
Results: Test sensitivity of 99.21-100% and specificity of 88.89-100% were determined. S. Muenchen was detected in 411/511 (80.4% CI95%=76.2-83.8%) of the isolates belonging to serogroup C. Moreover, 26/43 (60.5% CI95%=44.4-75%) and 22/35 (62.9% CI95%=44.9-78.5%) of the broiler flocks originating from case and control breeding flocks, respectively, had at least one S. Muenchen isolate detected.
Conclusion: The designed test allows genetic-based, rapid and cost-efficient detection of S. Muenchen. We demonstrated that this emerging serovar have become the dominant serovar of serogroup C found in poultry breeding flocks. Moreover, the similar proportions of case and control infected broiler flocks may suggest of an environmental source of infection. This implies that controlling its spread by vaccination of breeder flocks may not be sufficient.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Title":null,"FirstName":"Katya","LastName":"Arnold","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Arnold K"},{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Title":null,"FirstName":"Cinthia","LastName":"Satuchne","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Satuchne C"},{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Title":null,"FirstName":"Elinor","LastName":"Yechezkel","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Yechezkel E"},{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Title":null,"FirstName":"Anat","LastName":"Wiseman","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Wiseman A"},{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Title":null,"FirstName":"Yaniv","LastName":"Pima","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Pima Y"},{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Title":null,"FirstName":"Tal","LastName":"Rakler","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Rakler T"},{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Title":null,"FirstName":"Eugenia","LastName":"Yakunin","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Yakunin E"},{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Title":null,"FirstName":"Assaf","LastName":"Rokney","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":8,"DisplayName":"Rokney A"},{"PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Title":"Dr.","FirstName":"Ehud","LastName":"Elnekave","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":9,"DisplayName":"Elnekave E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Number":1,"Affiliation":"The Hebrew University","City":"Rehovot","State":"Israel","Country":"Israel","AffiliationDisplay":"The Hebrew University, Rehovot Israel, Israel"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Number":2,"Affiliation":"The Egg and Poultry board","City":null,"State":null,"Country":"Israel","AffiliationDisplay":"The Egg and Poultry board, Israel"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e5d844b-d598-4890-9fb9-e1a47e7e394d","Number":3,"Affiliation":"The national diagnostic centers of the Ministry of Health","City":"Jerusalem","State":null,"Country":"Israel","AffiliationDisplay":"The national diagnostic centers of the Ministry of Health, Jerusalem, Israel"}],"AuthorsHtml":"Arnold K1, Satuchne C2, Yechezkel E2, Wiseman A2, Pima Y2, Rakler T1, Yakunin E3, Rokney A3, Elnekave E1","AffiliationsHtml":"
1The Hebrew University, Rehovot Israel, Israel
2The Egg and Poultry board, Israel
3The national diagnostic centers of the Ministry of Health, Jerusalem, Israel
"}],"DisplayName":"Ehud Elnekave","TimeDisplay":null},{"ContactId":"2cc625ca-aa57-4f62-b495-0b83f4c4fefd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ibrahim","LastName":"Elsohaby","Position":"Veterinary Epidemiologist","Organization":"Government of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d3bf1b2a6ac64f378f06f31a26688cee","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Animal Diseases Prioritization for Prince Edward Island Surveillance System: A One Health Perspective","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"bb86a92e-d2a5-40ee-a236-98aaa56c7ae5","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.D - One Health","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"259326bb-baa5-4224-9975-f57bb32207fd","Html":null,"PlainText":"Objectives: To identify and create a prioritized list of animal diseases of greatest concern for Prince Edward Island (PEI) surveillance using a One Health approach, defined the criteria for prioritization, and determined questions and weights relevant to each criterion.
Material and Methods: Six workshops were held separately between December 2019 and March 2020 with participants from the government and non-governmental sectors to prioritize diseases in six animal species (bovine, equine, swine, poultry, small ruminants and bees). Prioritization criteria were selected for each workshop, and questions and weights describing each criterion were developed. An Analytic Hierarchy Process was then used to rank each criterion and a Decision Tree Analysis was applied to provide a ranked list of diseases for each animal species.
Results: In total, 49 participants were attended the six workshops with an average of 8 participants per workshop. Five criteria were selected to prioritize diseases in PEI including disease severity, epidemic potential in animal, availability of effective prevention and control measures, public health impact and socio-economic impact. Eleven to fifteen questions were developed to describe the selected criteria. Participants identified 27 bovine, 19 equine, 26 swine, 21 poultry, 19 small ruminants and 15 bees’ diseases as priorities for PEI. Diseases which get the highest score in each animal species were tuberculosis (bovine), vesicular stomatitis (equine), brucellosis (swine), highly pathogenic avian influenza (poultry), foot and mouth disease (small ruminants) and varroa destructor (bees).
Conclusion: Using One Health approach and multi-stakeholder engagement in diseases prioritization helped in criteria selection, identification of potential challenges and the acceptability of any future decisions. Prioritizing the animal diseases of greatest concern for PEI will be considered in future decisions regarding resource allocation for disease surveillance, control and prevention in PEI.

Keywords: prioritization, One Health, surveillance, decision tree analysis
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"259326bb-baa5-4224-9975-f57bb32207fd","Title":"Dr. ","FirstName":"Ibrahim","LastName":"Elsohaby","Position":"Veterinary Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Elsohaby I"},{"PresentationId":"259326bb-baa5-4224-9975-f57bb32207fd","Title":"Dr. ","FirstName":"Shauna","LastName":"Mellish","Position":"Policy Advisor and Emergency Response Coordinator","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mellish S"},{"PresentationId":"259326bb-baa5-4224-9975-f57bb32207fd","Title":"Dr. ","FirstName":"Jill","LastName":"Wood","Position":"Chief Provincial Veterinarian","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Wood J"},{"PresentationId":"259326bb-baa5-4224-9975-f57bb32207fd","Title":"Dr. ","FirstName":"Carolyn ","LastName":"Sanford","Position":"Assistant Deputy Minister","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Sanford C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"259326bb-baa5-4224-9975-f57bb32207fd","Number":1,"Affiliation":"Animal Health and Research Section, Department of Agriculture and Land, Government of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Animal Health and Research Section, Department of Agriculture and Land, Government of Prince Edward Island, Charlottetown PE, Canada"}],"AuthorsHtml":"Elsohaby I1, Mellish S1, Wood J1, Sanford C1","AffiliationsHtml":"
1Animal Health and Research Section, Department of Agriculture and Land, Government of Prince Edward Island, Charlottetown PE, Canada
"},{"Title":"Public Knowledge, Attitude and Practices towards Animal Welfare in Prince Edward Island, Canada","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"28e57a94-59cc-42e6-84fc-122d69c71aac","Html":null,"PlainText":"Objectives: To understand the public knowledge, attitudes, and practices towards animal welfare on Prince Edward Island (PEI) and to identify gaps in animal welfare laws and policies on PEI.
Material and Methods: An online survey was designed and distributed in 2021. The survey included 30 questions divided into four sections (knowledge about farm and companion animals’ welfare, attitudes toward reporting animal welfare concerns, opinion on who should enforce animal welfare laws on PEI and participants demographic).
Results: There were 10,319 views and/or openings of the survey link, with 3,946 participants completing the survey. Of those who completed the survey, 62.5% were living on PEI (Islanders), and 37.5% lived outside of PEI (Non-Islanders). More than three quarters of the survey participants were female. The majority of Islanders (71.4%) who completed the survey self-identified as general public. Almost all survey participants indicated that animal welfare is very to extremely important, the protection of animal welfare is very important, and would like to be more informed about the animal welfare laws on PEI. Approximately all Islanders and non-Islanders indicated they are somewhat to extremely likely to report a case of animal neglect or abuse. About 46.2% of Islanders and 64.6% of non-Islanders had made a call concerning animal welfare in the past. About 64.7% of Islanders indicated that they somewhat to strongly agree with prohibition of the sale, trade and exhibition of exotic animals on PEI. The majority of Islanders suggested additional interventions are needed for wildlife and puppy mills to help improve animal welfare on PEI.
Conclusion: Although, Islanders feel that animal welfare on PEI has improved over the last 10 years, the investigation identified gaps in Islanders knowledge, attitudes and practices toward animal welfare that stakeholders and policy makers can address.

Keywords: welfare, survey, attitudes, farm, companion and exotic animals
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"28e57a94-59cc-42e6-84fc-122d69c71aac","Title":"Dr.","FirstName":"Ibrahim","LastName":"Elsohaby","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Elsohaby I"},{"PresentationId":"28e57a94-59cc-42e6-84fc-122d69c71aac","Title":"Dr.","FirstName":"Jill","LastName":"Wood","Position":"Chief Provincial Veterinarian","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Wood J"},{"PresentationId":"28e57a94-59cc-42e6-84fc-122d69c71aac","Title":"Mr.","FirstName":"Dwight","LastName":"Thompson","Position":"Legislative & Program Specialist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Thompson D"},{"PresentationId":"28e57a94-59cc-42e6-84fc-122d69c71aac","Title":"Dr.","FirstName":"Thitiwan","LastName":"Patanasatienkul","Position":"Veterinary Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Patanasatienkul T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"28e57a94-59cc-42e6-84fc-122d69c71aac","Number":1,"Affiliation":"Animal Health and Research Section, Department of Agriculture and Land, Government of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Animal Health and Research Section, Department of Agriculture and Land, Government of Prince Edward Island, Charlottetown PE, Canada"}],"AuthorsHtml":"Elsohaby I1, Wood J1, Thompson D1, Patanasatienkul T1","AffiliationsHtml":"
1Animal Health and Research Section, Department of Agriculture and Land, Government of Prince Edward Island, Charlottetown PE, Canada
"}],"DisplayName":"Ibrahim Elsohaby","TimeDisplay":null},{"ContactId":"a8ab7c55-752b-4ef5-a861-bbc0c2a97f88","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Fiona","LastName":"Emdin","Position":"","Organization":"Global Strategy Lab","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/417df4a7f7e941b3a6ad774b10c97bc4","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Gender and agriculture: Implications for antimicrobial resistance policy ","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"91822bca-eb14-49dd-a327-b62697d85758","Html":null,"PlainText":"Objectives:
The AMR Tripartite have taken a One Health approach, engaging multi-sectoral stakeholders to coordinate research, policy, and action against antimicrobial resistance (AMR), including across agricultural sectors. Despite the significant role of women within agricultural, animal health, human health and environmental sectors, gender considerations are often conspicuously absent from One Health policy, including those addressing AMR. In fact, most AMR policy approaches fail to consider gender as a driver of AMR in vulnerable populations.

Methods:
This narrative review identifies key policy and research gaps, and provides a framework for exploring the association between gender, antimicrobial access and AMR exposure across agricultural sectors. We also offer policy recommendations for developing gender sensitive One Health AMR policies within agricultural sectors.

Results:
Gender inequity is a significant driver of antimicrobial access and AMR exposure in agriculture, especially within LMICs. For example, small-scale livestock producers are predominantly women and are both less likely to access veterinarian services and more likely affected by AMR spillover events due to increased contact with animal products. Gendered antimicrobial access and AMR exposures like these may in turn drive gendered AMR policy outcomes across One Health sectors, including agricultural sectors.

Conclusion:
AMR is a One Health, global challenge with inequitable effects that requires a concerted global effort to identify and develop equitable and sustainable solutions. We identified numerous research gaps related to gender, equity and AMR, especially within agricultural research that must be targeted by further studies. Within agricultural sectors, AMR research and policy should work to incorporate a gender lens by i) developing tools for the inclusion and assessment of gender in policy and ii) including gender in AMR surveillance and mitigation policy across agricultural sectors. Furthermore, we call on policymakers to appropriately address gender using One Health methods in next iterations of National Action Plans on AMR.

Keywords: Antimicrobial Resistance, One Health, Agricultural Policy, Gender Equity","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"91822bca-eb14-49dd-a327-b62697d85758","Title":"Dr.","FirstName":"Fiona","LastName":"Emdin","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Emdin F"},{"PresentationId":"91822bca-eb14-49dd-a327-b62697d85758","Title":"Dr.","FirstName":"Susan","LastName":"Rogers Van Katwyk","Position":"Managing Director","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Rogers Van Katwyk S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"91822bca-eb14-49dd-a327-b62697d85758","Number":1,"Affiliation":"Global Strategy Lab, York University","City":"Toronto","State":"ON","Country":"Canada","AffiliationDisplay":"Global Strategy Lab, York University, Toronto ON, Canada"}],"AuthorsHtml":"Emdin F1, Rogers Van Katwyk S1","AffiliationsHtml":"
1Global Strategy Lab, York University, Toronto ON, Canada
"}],"DisplayName":"Fiona Emdin","TimeDisplay":null},{"ContactId":"77f2235c-b994-40aa-a04e-4c74c7b71df0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Simon","LastName":"Enem","Position":"Professor","Organization":"University of Abuja","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluation of the Effect of Heat on Oxytetracycline Residues in Poultry meat in Abuja, Nigeria","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"59f5aaa3-04e7-42d1-a002-ee1437deb454","Html":null,"PlainText":"Evaluation of the Effect of Heat (Cooking) on Oxytetracycline Residues in Poultry Meat inAbuja, NigeriaObjectivesThe aim of this study is to detect the level of oxytetracycline in poultry meat and also the effectof heat on the drug residue on poultry meat in Abuja Nigeria. Materials and MethodsThe study was carried out in Abuja, Nigeria. A total of 160 meat sample was obtained in sixselected markets in the Federal capital Territory. Premi test was used to screen the samples andHigh Performance Liquid Chromatography (HPLC) to quantify the level of antibiotics. Amultistage epidemiological study technique was employed in this study. The study area wasdivided into two strata; City center and Satellite towns with 3 markets selected randomly fromthese strata. ResultThe thigh and breast meat samples screened using the premi test showed that 53 (62.4%) of thechicken thigh and 38 (50.7%) of chicken breast sampled were positive for antibiotic residues. Forthe unheated (raw) samples, the thigh muscles had a lower mean (28.49±2.96 ug/ml) than that ofthe breast muscles which was (34.15± 5.64 ug/ml). However, heated samples of these meattissues showed a slight difference in the mean value of oxytetracycline residues with the breastmuscles having a value of (24.27 ±4.91ug/ml) and the thigh muscle (22.87 ±2.12ug/ml). ConclusionThe findings indicated that commercial poultry meat consumers in Abuja metropolis are beingexposed to a reasonably high levels of Oxytetracycline residues in meats and routine cooking isinadequate in deactivating this antibiotic. This could also reduce the effectiveness and efficacy ofantibiotics. There is need for public enlightenment campaigns and regulation of antibiotic use.
Key words: Evaluation, Heat, Oxytetracycline residues, Poultry meat","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"59f5aaa3-04e7-42d1-a002-ee1437deb454","Title":"Mr.","FirstName":"Simon","LastName":"Enem","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Enem S"},{"PresentationId":"59f5aaa3-04e7-42d1-a002-ee1437deb454","Title":"Pharmacist","FirstName":"Suzan","LastName":"Kama","Position":"Pharmacist","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kama S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"59f5aaa3-04e7-42d1-a002-ee1437deb454","Number":1,"Affiliation":"Department of Veterinary Public Health, University of Abuja","City":"Abuja","State":"Federal Capital Territory","Country":"Nigeria","AffiliationDisplay":"Department of Veterinary Public Health, University of Abuja, Abuja Federal Capital Territory, Nigeria"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"59f5aaa3-04e7-42d1-a002-ee1437deb454","Number":2,"Affiliation":"National Agency for Food and Drug Administration","City":"Abuja","State":"Federal Capital Territory","Country":"Nigeria","AffiliationDisplay":"National Agency for Food and Drug Administration, Abuja Federal Capital Territory, Nigeria"}],"AuthorsHtml":"Enem S1, Kama S2","AffiliationsHtml":"
1Department of Veterinary Public Health, University of Abuja, Abuja Federal Capital Territory, Nigeria
2National Agency for Food and Drug Administration, Abuja Federal Capital Territory, Nigeria
"}],"DisplayName":"Simon Enem","TimeDisplay":null},{"ContactId":"ee3b34b3-12ad-43c9-afba-30cd933bd2d1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tasha","LastName":"Epp","Position":"Professor","Organization":"University of Saskatchewan","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cb15b10e52714e8d80550cd35eae746d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Pet Atlas: Summarizing owned pet populations in the Prairie Provinces of Canada ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0cb57a4-e82b-4ad8-8753-62079f423f47","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"741eff26-8f41-47ec-b711-0bf0e3b23b29","Html":null,"PlainText":"1. Objective(s) - This survey is part of a larger project developing a Companion Animal Surveillance Initiative for western Canada to establish baseline burden of disease information to inform animal and public health decision making. This survey focused on the creation of a Pet Atlas, a collection of pet specific demographic information for the three Prairie Provinces of western Canada (Saskatchewan, Manitoba and Alberta) which would assist in exploring the representativeness of veterinary clinic-based surveillance.
2. Materials and methods - A telephone-based survey was conducted in October 2021 to obtain a western Canadian representative sampling of households to detail demographics of the owned pet population (dogs and cats) as well as the utilization of animal and veterinary health services. The data was analyzed accounting for sample weighting, with and without post-stratification by household variables (occupancy and household type).
3. Results – A total of 3055 respondents answered the survey representing 263 unique Forward Sortation Areas (99%) within the three Prairie Provinces. Roughly a third of households in the survey reported owing at least one dog (37.1% weighted average; 33.4% MB; 34.1% SK; 38.9% AB), with approximately 1.4 dogs per household. Based on this data, the overall estimate of the dog population in Prairie region is 1.3 million dogs. Overall, of the 1530 dogs in the survey, 93% percent have reportedly visited a veterinary clinic at least once in the previous 3 years. Further analysis will explore dog population parameters overall and within geographic regions.
4. Conclusion - The Pet Atlas will summarize the demographics of, sources of, and resources used by owned pet population, serving as a population-based, geographical reference for comparison of studies conducted in veterinary medicine. In particular, the data generated will allow a method of estimating the representativeness of a veterinary clinic-based surveillance initiative.

Keywords: weighted survey;
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"741eff26-8f41-47ec-b711-0bf0e3b23b29","Title":"Dr.","FirstName":"Tasha","LastName":"Epp","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Epp T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"741eff26-8f41-47ec-b711-0bf0e3b23b29","Number":1,"Affiliation":"University Of Saskatchewan - Western College of Veterinary Medicine","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"University Of Saskatchewan - Western College of Veterinary Medicine, Saskatoon SK, Canada"}],"AuthorsHtml":"Epp T1","AffiliationsHtml":"
1University Of Saskatchewan - Western College of Veterinary Medicine, Saskatoon SK, Canada
"}],"DisplayName":"Tasha Epp","TimeDisplay":null},{"ContactId":"4458a3c3-ee97-4009-b68c-e38b212f9259","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sarah","LastName":"Erickson","Position":"Technical Data Assistant","Organization":"Feedlot Health Management Services By TELUS Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/24ffe39fadd745e7a284621beeddacdf","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The Epidemiology of Hoof-Related Lameness in Western Canadian Feedlot Cattle","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"2e5cf67a-5559-422f-9a78-2d83d80d539c","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Html":null,"PlainText":"Objective:
To describe the epidemiology of hoof-related lameness (HRL) in western Canadian feedlots, focusing on digital dermatitis (DD), and identify risk factors to inform recommendations on control and prevention.
Materials and Methods:
Retrospective animal health data (N=1,772,565 cattle) from 28 western Canadian feedlots (2014-2018) were accessed through a proprietary database and manipulated and analyzed using commercially available database and statistical software.
Results:
Lameness accounted for 25.73% of all treatments, 71.70% of which were HRL cases. HRL includes infectious bovine pododermatitis (foot rot (FR)); DD; and toe-tip necrosis syndrome (TTNS), accounting for 89.59%, 7.94% and 2.47% of HRL, respectively. HRL prevalence ranged from 1.93% to 3.09% of annual placements. The relative risk (RR) of HRL was higher in cattle from backgrounding (RR=2.17, P<0.0001) and grass-backgrounding (RR=1.84, P<0.0001) sources and lower in ranch-direct (RR=0.68, P<0.0001) sources versus auction-derived cattle. Calves were higher risk (RR=1.13, P=0.0255) than yearlings. Cattle placed in small feedlots (<10,000 head) were higher risk (RR=1.69, P<0.0001) than cattle placed in large (>10,000 head) feedlots. Cattle placed in the first two quarters (Q1/Q2) of the year were higher risk for HRL (RR=1.21, P=0.0018) than placements in the last two quarters (Q3/Q4). The risk of DD was greater in cattle sourced from backgrounding ((RR=2.59, P<0.0001) and grass-backgrounding (RR=2.00, P=0.0098) operations and lower in ranch-direct (RR=0.04, P<0.0001) sources versus auction-derived cattle. The risk of DD was lower in small versus large feedlots (RR=0.243, P=0.0267). Cattle placed in Q1 (RR=1.66, P=0.0265) and Q2/Q3 (RR=2.34, P=0.0001) were higher risk than Q4 placements. The risk of DD was higher in females (RR=2.58, P<0.0001) than males.
Conclusion:
Placement period, procurement source, feedlot size and cattle-specific characteristics are important risk factors concerning HRL and DD. These findings will help inform future research on prevention/control strategies for feedlot HRL.
Keywords: Epidemiology. Digital Dermatitis. Feedlots. Hoof-Related Lameness.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Title":"Miss","FirstName":"Sarah","LastName":"Erickson","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Erickson S"},{"PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Title":"Dr.","FirstName":"Calvin","LastName":"Booker","Position":"Managing Partner","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Booker C"},{"PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Title":"Dr.","FirstName":"Karen","LastName":"Schwartzkopf-Genswein","Position":"Principle Research Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Schwartzkopf-Genswein K"},{"PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Title":"Dr.","FirstName":"Murray","LastName":"Jelinski","Position":"Professor ","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Jelinski M"},{"PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Title":"Dr. ","FirstName":"Eugene ","LastName":"Janzen","Position":"[email protected]","Affiliations":"1,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Janzen E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Number":1,"Affiliation":"Feedlot Health Management Services By TELUS Agriculture","City":"Okotoks","State":"Alberta","Country":"Canada","AffiliationDisplay":"Feedlot Health Management Services By TELUS Agriculture, Okotoks Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Number":2,"Affiliation":"Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine","City":"Saskatoon","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon Saskatchewan, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Number":3,"Affiliation":"Lethbridge Research and Development Centre, Agriculture and Agri-food Canada ","City":"Lethbridge","State":"Alberta","Country":"Canada","AffiliationDisplay":"Lethbridge Research and Development Centre, Agriculture and Agri-food Canada , Lethbridge Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9fd08e45-e7cc-4399-9be6-fc024d79b8c0","Number":4,"Affiliation":"University of Calgary College of Veterinary Medicine","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"University of Calgary College of Veterinary Medicine, Calgary Alberta, Canada"}],"AuthorsHtml":"Erickson S1,2, Booker C1, Schwartzkopf-Genswein K3, Jelinski M2, Janzen E1,4","AffiliationsHtml":"
1Feedlot Health Management Services By TELUS Agriculture, Okotoks Alberta, Canada
2Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon Saskatchewan, Canada
3Lethbridge Research and Development Centre, Agriculture and Agri-food Canada , Lethbridge Alberta, Canada
4University of Calgary College of Veterinary Medicine, Calgary Alberta, Canada
"}],"DisplayName":"Sarah Erickson","TimeDisplay":null},{"ContactId":"de9bc21d-57d2-43a2-990f-a9cd154ef21a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Eric","LastName":"Etter","Position":"Veterinarian Epidemiologist","Organization":"CIRAD/CaribVET","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e2e0455eb4264e15b595dc6def98b038","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"CaribVET RiskSwine Tool: Development and Dissemination of a tool to assess risk of swine diseases in the Caribbean","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3d5c5931-1ee5-4c35-b571-341c8da69512","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.D - Risk assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Html":null,"PlainText":"Frequent alerts due to emerging transboundary swine diseases (TSD) prompted the development of a swine disease qualitative risk assessment tool (RiskSwine Tool) by the Caribbean Animal and Veterinary Public Health Network (CaribVET). The objective was to make available this tool to guide Veterinary Services in the conduct of their own in-country risk assessments addressing TSD introduction and dissemination at national level and applicable at the regional level.

The tool was developed as a conceptual framework for qualitative risk assessment consisting of three components: 1) the dissemination (entry) of a swine disease pathogen from an affected country; 2) the diffusion of the pathogen and the exposure of the susceptible swine population and 3) The magnitude and consequences of this risk. The tool was applied to the swine diseases considered as priorities in the Caribbean region: Classical swine fever (CSF), Teschovirus encephalomyelitis, Porcine epidemic diarrhoea (PED) and African swine fever (ASF). Each component is scored based on pre-defined criteria, established by an expert group with reference to these diseases.

The RiskSwine Tool has been progressively updated and recently upgraded in response to the re-emergence of ASF in the Caribbean (Hispaniola) mid-2021. The 2021 version of the tool is a user- friendly Excel Spreadsheet in English, Spanish and French that includes guidelines for users to answer the questions required to assess the risk. This tool was disseminated thanks to webinars organised since September 2021 by the interagency emergency response group led by GF-TADs for the Americas with the active participation of CaribVET.

Following the deployment of the tool in the veterinary services of the region we will organise a user feedback for monitoring and evaluation of the tool and we plan to develop a user friendly interface for online use.
All authors are linked to CaribVET association,Petit Bourg, Guadeloupe, FRANCE
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Dr","FirstName":"Maria Irian","LastName":"Percedo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Percedo M"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Prof.","FirstName":"Jordi","LastName":"Casal","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Casal J"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Dr","FirstName":"Pastor","LastName":"Alfonso","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Alfonso P"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Dr","FirstName":"Maria Teresa ","LastName":"Frias-Lepoureau","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Frias-Lepoureau M"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Dr","FirstName":"Wendy ","LastName":"Gonzalez","Position":"Head of the epidemiology department in the Animal Health Direction","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Gonzalez W"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":null,"FirstName":"Paula","LastName":"Morales","Position":"Agricultural scientist","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Morales P"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Dr","FirstName":"Victor","LastName":"Gongora","Position":"President","Affiliations":"5","IsPresenting":false,"SortOrder":7,"DisplayName":"Gongora V"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Dr","FirstName":"Kathian ","LastName":"Hackshaw","Position":"Chief Veterinary Officer","Affiliations":"6","IsPresenting":false,"SortOrder":8,"DisplayName":"Hackshaw K"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Prof","FirstName":"Javier ","LastName":"Guitian","Position":"Professor","Affiliations":"7","IsPresenting":false,"SortOrder":9,"DisplayName":"Guitian J"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Dr","FirstName":"Gillian ","LastName":"Taylor-Ellis","Position":null,"Affiliations":"8","IsPresenting":false,"SortOrder":10,"DisplayName":"Taylor-Ellis G"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Dr","FirstName":"Jennifer","LastName":"Pradel","Position":null,"Affiliations":"9","IsPresenting":false,"SortOrder":11,"DisplayName":"Pradel J"},{"PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Title":"Prof.","FirstName":"Eric","LastName":"Etter","Position":null,"Affiliations":"10","IsPresenting":true,"SortOrder":12,"DisplayName":"Etter E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":1,"Affiliation":"CENSA","City":"San José de las Lajas","State":"Mayabeque","Country":"Cuba","AffiliationDisplay":"CENSA, San José de las Lajas Mayabeque, Cuba"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":2,"Affiliation":"Universitad Autònoma de Barcelona","City":"Bellaterra","State":"Catalunia","Country":"Spain","AffiliationDisplay":"Universitad Autònoma de Barcelona, Bellaterra Catalunia, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":3,"Affiliation":"Veterinary Services","City":null,"State":null,"Country":"Dominican Republic","AffiliationDisplay":"Veterinary Services, Dominican Republic"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":4,"Affiliation":"USDA-APHIS","City":"Santo Domingo","State":null,"Country":"Dominican Republic","AffiliationDisplay":"USDA-APHIS, Santo Domingo, Dominican Republic"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":5,"Affiliation":"Caribbean Veterinary Medical Association","City":"Mayavista, San Ignacio","State":"Cayo","Country":"Belize","AffiliationDisplay":"Caribbean Veterinary Medical Association, Mayavista, San Ignacio Cayo, Belize"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":6,"Affiliation":"Veterinary Services","City":null,"State":null,"Country":"St Vincent and the Grenadines","AffiliationDisplay":"Veterinary Services, St Vincent and the Grenadines"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":7,"Affiliation":"Royal Veterinary College","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":8,"Affiliation":"Veterinary Services","City":null,"State":null,"Country":"Jamaica","AffiliationDisplay":"Veterinary Services, Jamaica"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":9,"Affiliation":"ASTRE, Univ Montpellier, CIRAD INRAE","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"ASTRE, Univ Montpellier, CIRAD INRAE, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7617dfd8-451f-43f6-b8b8-b50df26d7ac9","Number":10,"Affiliation":"CIRAD, UMR ASTRE","City":"Petit Bourg","State":"Guadeloupe","Country":"France","AffiliationDisplay":"CIRAD, UMR ASTRE, Petit Bourg Guadeloupe, France"}],"AuthorsHtml":"Percedo M1, Casal J2, Alfonso P1, Frias-Lepoureau M1, Gonzalez W3, Morales P4, Gongora V5, Hackshaw K6, Guitian J7, Taylor-Ellis G8, Pradel J9, Etter E10","AffiliationsHtml":"
1CENSA, San José de las Lajas Mayabeque, Cuba
2Universitad Autònoma de Barcelona, Bellaterra Catalunia, Spain
3Veterinary Services, Dominican Republic
4USDA-APHIS, Santo Domingo, Dominican Republic
5Caribbean Veterinary Medical Association, Mayavista, San Ignacio Cayo, Belize
6Veterinary Services, St Vincent and the Grenadines
7Royal Veterinary College, London, United Kingdom
8Veterinary Services, Jamaica
9ASTRE, Univ Montpellier, CIRAD INRAE, Montpellier, France
10CIRAD, UMR ASTRE, Petit Bourg Guadeloupe, France
"}],"DisplayName":"Eric Etter","TimeDisplay":null},{"ContactId":"1b8fc052-3f27-4196-8a55-ba2ee3596fa4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kim","LastName":"Eunju","Position":"Veterinary researcher, D.V.M., Ph.D.","Organization":"National Institute Of Animal Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Comparative analysis of the blood transcriptomes between the two age groups of dogs","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Html":null,"PlainText":"Objective: Blood is an important part of the immune system and the first line of the immune defense system. The blood contains many immune regulatory factors including microRNAs which regulate gene expression. In this study, we analyzed blood transcriptomes using high-throughput sequencing technologies to generate the data and the screen for differentially expressed genes in the test groups and control group.
Materials and Methods: We analyzed the blood transcriptome from the two groups of dogs which consists of eight eleven-years-old dogs (test group) and seven four-year-old dogs (control group) by using RNA-seq. We obtained a total of 21,801 genes and genes with zero count were excluded, leaving the 14,102 genes to be analyzed. Comparisons of transcriptome data revealed that 450 genes (p < 0.05) differentially expressed between the test and control groups.
Results: To observe the biological information of the highly expressed genes involved more clearly, we performed Gene Ontology (GO) analyses in the two groups of dogs. The results showed that regulation of the innate immune response and the response to virus were enriched in the test group. The genes related with positive regulation of cytokine production were less expressed in the test group compared to control group.
Conclusion: In this study, we explored the differences between the blood transcriptome of the two age groups of dogs. Functional classifications based on a GO analysis indicated that multiple biological processes related to the immune system enrich the innate immune response and the response to virus in the test group. We speculate that this response indicates the greater ability to resist some infectious diseases in the older dogs compare to younger dog. And it might also represent higher level of expression of the genes related to disease resistance after more frequent exposure to various pathogens and environments.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Title":"Dr.","FirstName":"SeungWon","LastName":"Yi","Position":"Postdoctoral fellow, Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Yi S"},{"PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Title":"Dr.","FirstName":"Sang-Ik","LastName":"Oh","Position":"Veterinary researcher, D.V.M., Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Oh S"},{"PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Title":"Mr.","FirstName":"Han Gyu","LastName":"Lee","Position":"Veterinary researcher, D.V.M., M.S.","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Lee H"},{"PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Title":"Mr.","FirstName":"Young-Hun","LastName":"Jung","Position":"Veterinary research officer, D.V.M., M.S.","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Jung Y"},{"PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Title":"Dr.","FirstName":"Eun-Yeong","LastName":"Bok","Position":"Veterinary researcher, D.V.M., Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Bok E"},{"PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Title":"Dr.","FirstName":"Sudu Hakuruge Madusha Pramud","LastName":"Wimalasena","Position":"Postdoctoral fellow, Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Wimalasena S"},{"PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Title":"Dr.","FirstName":"Tai-Young","LastName":"Hur","Position":"Veterinary research officer, D.V.M., Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Hur T"},{"PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Title":"Dr.","FirstName":"Kim","LastName":"Eunju","Position":"Veterinary researcher, D.V.M., Ph.D.","Affiliations":"1","IsPresenting":true,"SortOrder":8,"DisplayName":"Eunju K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a0394d30-9454-46f6-9abb-fff2dd1b96ae","Number":1,"Affiliation":"National Institute of Animal Science, Rural Development Administration","City":"Wanjugun","State":"Jeollabukdo","Country":"South Korea","AffiliationDisplay":"National Institute of Animal Science, Rural Development Administration, Wanjugun Jeollabukdo, South Korea"}],"AuthorsHtml":"Yi S1, Oh S1, Lee H1, Jung Y1, Bok E1, Wimalasena S1, Hur T1, Eunju K1","AffiliationsHtml":"
1National Institute of Animal Science, Rural Development Administration, Wanjugun Jeollabukdo, South Korea
"}],"DisplayName":"Kim Eunju","TimeDisplay":null},{"ContactId":"2f6ef888-6f2a-4ab1-985f-91f10959b43f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jude","LastName":"Eze","Position":"Quantitative Scientist","Organization":"Scotland's Rural College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Enhancing time-series models of mortality in cultured Atlantic salmon in Scotland with open-source remotely sensed satellite products.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4102cd9f-8f04-4ca2-ad4f-b1c7a65ef310","Html":null,"PlainText":"Objective: Most Atlantic salmon aquaculture take place in net pens in the ocean, leaving fish exposed to ever changing environmental conditions. Mortality of salmon in such pens varies in space and time and understanding this variation better can help mitigate mortality. Obtaining data from aquaculture farms of different companies to model mortality is a difficult and time-consuming task and often leads to comparing apples to oranges when data are not recorded in the same way in different companies, or even sites within companies. Objective of this study was to use open-source products to enhance epidemiological models and investigate the usefulness of such sources.

Material and methods: Our time series runs from 2002 to 2019. Using time-series regression, we modelled monthly relative salmon mortality and investigated the effect of the following groups of variables: 1) salmon farming variables such as on-farm biomass and distance to closest neighbour, 2) site specific variables such as fetch and flushing times, and 3) remotely sensed satellite products such as temperature and salinity.

Results: Variables from all three categories were statistically, significantly associated with relative mortality. From the remotely sensed satellite products these were phytoplankton and temperature.

Conclusion: Even at a monthly frequency, we found an association between relative mortality in open net pen salmon aquaculture and open-sourced remotely sensed satellite products. Such products can therefore be useful additions to existing models and thus improve analysis without having to go to companies to ask for more data.

Keywords: Time series, open-source products, salmon aquaculture","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4102cd9f-8f04-4ca2-ad4f-b1c7a65ef310","Title":"Dr.","FirstName":"Annette","LastName":"Boerlage","Position":"Aquatic Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Boerlage A"},{"PresentationId":"4102cd9f-8f04-4ca2-ad4f-b1c7a65ef310","Title":null,"FirstName":"Ana R.I.","LastName":"Ferreira","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ferreira A"},{"PresentationId":"4102cd9f-8f04-4ca2-ad4f-b1c7a65ef310","Title":"Dr.","FirstName":"George","LastName":"Gunn","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Gunn G"},{"PresentationId":"4102cd9f-8f04-4ca2-ad4f-b1c7a65ef310","Title":"Mr.","FirstName":"Jude","LastName":"Eze","Position":"Quantitative Scientist","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Eze J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4102cd9f-8f04-4ca2-ad4f-b1c7a65ef310","Number":1,"Affiliation":"Scotland's Rural College (sruc)","City":"Inverness","State":"Highlands","Country":"United Kingdom","AffiliationDisplay":"Scotland's Rural College (sruc), Inverness Highlands, United Kingdom"}],"AuthorsHtml":"Boerlage A1, Ferreira A1, Gunn G1, Eze J1","AffiliationsHtml":"
1Scotland's Rural College (sruc), Inverness Highlands, United Kingdom
"},{"Title":"Exploring the impacts of a BVD eradication programme using spatial cluster analyses","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a1e1cd1d-6619-4ecf-9d28-05e2eb0547c3","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.E - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"de7adb27-fb1c-4954-b16b-cbf17851afd1","Html":null,"PlainText":"Objectives: Persistent infection of farms with Bovine Viral Diarrhoea Virus (BVDv) may depend on the spatial distribution of the farms. Herds in proximity are more likely to experience similar infections compared to those more distant. Spatial correlation can indicate the degree of proximity of infected farms and its variation over time may show the effects of targeted efforts towards elimination. As eradication schemes progress, clusters are expected to change as more and more farms become disease free. We examine the systematic spatial variation among herds in a BVD eradication scheme, identify clusters of infection, how clusters changed over time and likely risk factors associated with herd infection.

Materials and methods: The Scottish BVD eradication scheme started as a voluntary programme in 2010 becoming mandatory in 2013. Data recorded by the Scottish Electronic Identification Livestock Traceability Research (ScotEID), comprising all cattle herds with at least one virus test from the inception of the programme till 2020 were used for this study. Using spatial point patterns techniques, we investigated the existence of BVD spatial clusters, estimated average nearest neighbour distance and the association between herd size and clusters. Global and local indices of spatial autocorrelation were examined for each year to help understand changes in clusters over time.

Results: Results show far more clustered patterns of BVDv positive farms than expected under complete spatial randomness. Changes in the slopes of Moran’s I and nearest neighbour distances reflect likely influence of the eradication scheme on the clusters. Herd size was strongly associated with clustering.

Conclusion: Knowledge of the clustering of disease can provide insight on the dynamics of infection and potentially assist targeted control measures. Future BVD surveillance will benefit from the results of this study including derivation of sample size and selection of sampling units.

Keywords: Spatial clusters, BVDV, Point pattern, autocorrelation
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"de7adb27-fb1c-4954-b16b-cbf17851afd1","Title":"Dr.","FirstName":"Jude","LastName":"Eze","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Eze J"},{"PresentationId":"de7adb27-fb1c-4954-b16b-cbf17851afd1","Title":"Dr","FirstName":"Andrew","LastName":"Duncan","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Duncan A"},{"PresentationId":"de7adb27-fb1c-4954-b16b-cbf17851afd1","Title":"Prof","FirstName":"George","LastName":"Gunn","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Gunn G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"de7adb27-fb1c-4954-b16b-cbf17851afd1","Number":1,"Affiliation":"Department of Veterinary and Animal Science, Northern Faculty, SRUC","City":"Inverness ","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"Department of Veterinary and Animal Science, Northern Faculty, SRUC, Inverness Scotland, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"de7adb27-fb1c-4954-b16b-cbf17851afd1","Number":2,"Affiliation":"Biomathematics and Statistics Scotland, JCMB, The King's Buildings, ","City":"Edinburgh","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"Biomathematics and Statistics Scotland, JCMB, The King's Buildings, , Edinburgh Scotland, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"de7adb27-fb1c-4954-b16b-cbf17851afd1","Number":3,"Affiliation":"Inverness College UHI, 1 Inverness Campus, ","City":"Inverness, ","State":"Scotland","Country":"UK","AffiliationDisplay":"Inverness College UHI, 1 Inverness Campus, , Inverness, Scotland, UK"}],"AuthorsHtml":"Eze J1,2, Duncan A1,3, Gunn G1","AffiliationsHtml":"
1Department of Veterinary and Animal Science, Northern Faculty, SRUC, Inverness Scotland, United Kingdom
2Biomathematics and Statistics Scotland, JCMB, The King's Buildings, , Edinburgh Scotland, United Kingdom
3Inverness College UHI, 1 Inverness Campus, , Inverness, Scotland, UK
"}],"DisplayName":"Jude Eze","TimeDisplay":null},{"ContactId":"ed8b9cf2-536a-46e7-9c53-5fd7f26bdddc","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Laura","LastName":"Falzon","Position":"","Organization":"FAO","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"An episystem approach for the Peste des Petits Ruminants global eradication program","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a16a66a7-b71c-46e1-924e-61f777a167f6","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"84cf8d0a-38da-4b40-b4cb-62c9056f6f0f","Html":null,"PlainText":"Following the successful eradication of rinderpest in 2011, efforts are currently underway for the global eradication of Peste des Petits Ruminants (PPR) by 2030. PPR is a widespread and devastating disease that primarily affects sheep and goats; wild small ruminants, buffaloes, cattle, camels and pigs may also be infected but these usually act as dead-end hosts. Globally, there are 69 countries and 1 zone that are officially free of PPR; another 70 countries have never reported the disease while 69 countries are currently infected. These infected countries are primarily found in Africa, Asia, and the Middle East, and are grouped together in nine sub-regions. Over the past year, regional workshops have been organized to evaluate the first phase (2017-2021) of the global eradication program and plan the next steps. During these workshops, the formal and informal movement of animals, both locally and across national borders, was highlighted as one of the impediments to controlling the disease. Recognizing that PPR epidemiology usually goes beyond national borders or regional groupings, adopting an episystem approach for controlling and eradicating PPR has been suggested. A disease episystem is defined as an interconnected host (sheep and or goat) population capable of maintaining circulation and transmission of a virus indefinitely. This may comprise one large population or, more frequently, smaller populations that are inter-linked through pastoral movements or value chain activities. Defining the episystems present in a region therefore requires an understanding of the host population and their contact patterns, mapping the small ruminant value chain and the actors involved. This needs to be supplemented by genome sequencing to identify the circulating viral lineages and their linkages across populations. Such an integrated approach based on descriptive, participatory, and molecular epidemiology will allow for the design of more targeted and coordinated efforts towards achieving PPR eradication globally.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"84cf8d0a-38da-4b40-b4cb-62c9056f6f0f","Title":"Dr.","FirstName":"Laura","LastName":"Falzon","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Falzon L"},{"PresentationId":"84cf8d0a-38da-4b40-b4cb-62c9056f6f0f","Title":"Dr.","FirstName":"Camilla","LastName":"Benfield","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Benfield C"},{"PresentationId":"84cf8d0a-38da-4b40-b4cb-62c9056f6f0f","Title":"Dr.","FirstName":"Herve","LastName":"Djomgang","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Djomgang H"},{"PresentationId":"84cf8d0a-38da-4b40-b4cb-62c9056f6f0f","Title":"Dr.","FirstName":"Edward","LastName":"Okori","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Okori E"},{"PresentationId":"84cf8d0a-38da-4b40-b4cb-62c9056f6f0f","Title":"Dr.","FirstName":"Satya","LastName":"Parida","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Parida S"},{"PresentationId":"84cf8d0a-38da-4b40-b4cb-62c9056f6f0f","Title":"Dr.","FirstName":"Felix","LastName":"Njeumi","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Njeumi F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"84cf8d0a-38da-4b40-b4cb-62c9056f6f0f","Number":1,"Affiliation":"FAO","City":"Rome","State":"Rome","Country":"Italy","AffiliationDisplay":"FAO, Rome Rome, Italy"}],"AuthorsHtml":"Falzon L1, Benfield C, Djomgang H, Okori E, Parida S, Njeumi F","AffiliationsHtml":"
1FAO, Rome Rome, Italy
"}],"DisplayName":"Laura Falzon","TimeDisplay":null},{"ContactId":"038ace0a-c2c4-47fd-9d0f-eef8fa512aec","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Dima","LastName":"Farra","Position":"Resident Ecvph","Organization":"University of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Qualitative assessment of the probability of introduction and onward transmission of lumpy skin disease in Ukraine ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"770ebe47-1f48-44bc-92c3-0bcde88690e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.C - Risk Assessment","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Html":null,"PlainText":"Lumpy skin disease (LSD) is a transboundary disease affecting bovine animals which can have a severe economic impact. Ukraine is considered particularly vulnerable to LSD due to its proximity to regions where the virus is circulating and due to its ecological and environmental conditions enabling autochthone transmission. This qualitative risk assessment (RA) aimed to investigate the probability that LSD virus is introduced to Ukraine and, if introduced, the probability propagation in the country within the following year.
The risk assessment followed the OIE guidelines for import risk analysis for animals and animal products and was undertaken with the support of local experts via an expert elicitation workshop. A modified Delphi approach was used to gather expert inputs.
The RA results showed that the pathway with the highest, yet still low, probability of introduction was related to illegally traded cattle. The highest probability of exposure of an animal to the virus and of further onward transmission in Ukraine was related to flying vectors and estimated as \"high\".
During the expert elicitation, the Delphi approach helped to increase the agreement between the experts and was used to assess the uncertainty related to the estimates. This RA helped to identify areas where insufficient data are available. For instance, there is a lack of reliable data on animal movements and bio-security in Ukraine. The elicited probability estimates allowed the experts to generate recommendations for risk management practices. The findings of this study contributed to revise the control strategies for LSD in Ukraine. To our knowledge, this is the first RA performed on LSD in Eastern Europe and the conceptual framework adopted can help other countries interested in conducting a RA in a similar data scarce environment.
Keywords: Lumpy skin disease, Risk Assessment, Ukraine, OIE","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Title":"Miss","FirstName":"Dima","LastName":"Farra","Position":"Resident Ecvph","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Farra D"},{"PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Title":"Mr.","FirstName":"Marco","LastName":"De Nardi","Position":"Senior consultant","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"De Nardi M"},{"PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Title":"Mrs.","FirstName":"Viktoria","LastName":"Lets","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Lets V"},{"PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Title":"Mr.","FirstName":"Oleksiy","LastName":"Klymenok","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Klymenok O"},{"PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Title":"Prof. Dr. Dr. h. c.","FirstName":"Roger","LastName":"Stephan","Position":"Director","Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Stephan R"},{"PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Title":"Mrs.","FirstName":"Oksana","LastName":"Boreiko","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":6,"DisplayName":"Boreiko O"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Number":1,"Affiliation":"Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern","City":"Liebefeld","State":"Bern","Country":"Switzerland","AffiliationDisplay":"Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Liebefeld Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Number":2,"Affiliation":"SAFOSO","City":"Liebefeld","State":"Bern","Country":"Switzerland","AffiliationDisplay":"SAFOSO, Liebefeld Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Number":3,"Affiliation":"Swiss-Ukrainian Program “Higher Value Added Trade from the Organic and Dairy Sector in Ukraine (QFTP)\"","City":"Kiev","State":"Kiev","Country":"Ukraine","AffiliationDisplay":"Swiss-Ukrainian Program “Higher Value Added Trade from the Organic and Dairy Sector in Ukraine (QFTP)\", Kiev Kiev, Ukraine"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Number":4,"Affiliation":"Division of Organization of Anti-Epizootic Measures, Animal Health and Welfare Department of the Department of Food Safety and Veterinary Medicine of the State Service of Ukraine on Food Safety and Consumer Protection","City":"Kiev","State":"Kiev","Country":"Ukraine","AffiliationDisplay":"Division of Organization of Anti-Epizootic Measures, Animal Health and Welfare Department of the Department of Food Safety and Veterinary Medicine of the State Service of Ukraine on Food Safety and Consumer Protection, Kiev Kiev, Ukraine"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Number":5,"Affiliation":"Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich","City":"Zurich","State":"Zurich","Country":"Switzerland","AffiliationDisplay":"Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Zurich Zurich, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3dc5db1e-7a79-4160-9325-73cea11c82b1","Number":6,"Affiliation":"Risk Assessment Expert Group, Directorate of Food Safety, Ministry for Economic Development, Trade and Agriculture","City":"Kiev","State":"Kiev","Country":"Ukraine","AffiliationDisplay":"Risk Assessment Expert Group, Directorate of Food Safety, Ministry for Economic Development, Trade and Agriculture, Kiev Kiev, Ukraine"}],"AuthorsHtml":"Farra D1, De Nardi M2, Lets V3, Klymenok O4, Stephan R5, Boreiko O6","AffiliationsHtml":"
1Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Liebefeld Bern, Switzerland
2SAFOSO, Liebefeld Bern, Switzerland
3Swiss-Ukrainian Program “Higher Value Added Trade from the Organic and Dairy Sector in Ukraine (QFTP)\", Kiev Kiev, Ukraine
4Division of Organization of Anti-Epizootic Measures, Animal Health and Welfare Department of the Department of Food Safety and Veterinary Medicine of the State Service of Ukraine on Food Safety and Consumer Protection, Kiev Kiev, Ukraine
5Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Zurich Zurich, Switzerland
6Risk Assessment Expert Group, Directorate of Food Safety, Ministry for Economic Development, Trade and Agriculture, Kiev Kiev, Ukraine
"}],"DisplayName":"Dima Farra","TimeDisplay":null},{"ContactId":"f0da5244-da96-4818-83d8-a6e3d6c66c13","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Constanza","LastName":"Fellenberg","Position":"","Organization":"The University of Queensland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The epidemiology of interactions between snakes and their anthropogenic environment","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7082b1df-8fb3-4669-8939-cc0d9df1a51e","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.B - Complex Systems Approach","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"92bb9ba7-36e2-4620-badc-123b7b4817b2","Html":null,"PlainText":"1. Objective: Our aim was to identify anthropogenic pressures and ecological factors that influence the spatial-temporal characteristics of snake abundance and snake envenomation of pets and humans in Australia.

2. Materials and methods: Four datasets were used to describe the epidemiology of interactions between snakes and the anthropogenic environment in which they live. The first comprised details of submissions of injured snakes to wildlife hospitals (~20,000 records), while a second comprised veterinary medical records of snake envenomation in small animals (~50,000 records). In addition, de-identified records of snake envenomation in humans where used, while the fourth dataset was compiled through interviews with snake catchers. Regression and time series analysis was used to describe the frequency of snake envenomation and ecological factors that influence spatial and temporal patterns of snake abundance and snake envenomation.

3. Results: We identified strong spatial and temporal patterns for both snake envenomation events and snake abundance. Interactions between snakes, pets and humans (as reflected by the date and location of snake envenomation events) were associated with vegetation cover, population density and distance to populated areas. The strength of these associations was sufficient to provide the general public with information about snake bite risk periods and snake bite risk locations.

4. Conclusion: Based on the results of this project, risk maps can be developed to quantify the risk of snake envenomation in humans. These maps will inform the development of a surveillance system to alert humans of the risk of snake envenomation in high-risk areas.
Keywords: snake, envenomation, spatial-temporal, one-health, Australia
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"92bb9ba7-36e2-4620-badc-123b7b4817b2","Title":"Mrs.","FirstName":"Constanza","LastName":"Fellenberg","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Fellenberg C"},{"PresentationId":"92bb9ba7-36e2-4620-badc-123b7b4817b2","Title":"Dr ","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Stevenson M"},{"PresentationId":"92bb9ba7-36e2-4620-badc-123b7b4817b2","Title":"Mr","FirstName":"Mark","LastName":"Haworth","Position":"Small Animal Emergency & Critical Care","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Haworth M"},{"PresentationId":"92bb9ba7-36e2-4620-badc-123b7b4817b2","Title":"Dr","FirstName":"Rachel","LastName":"Allavena","Position":"Deputy Head of School","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Allavena R"},{"PresentationId":"92bb9ba7-36e2-4620-badc-123b7b4817b2","Title":"Dr","FirstName":"Joerg","LastName":"Henning","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Henning J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"92bb9ba7-36e2-4620-badc-123b7b4817b2","Number":1,"Affiliation":"School Of Veterinary Science, The University Of Queensland","City":"Gatton","State":"QLD","Country":"Australia","AffiliationDisplay":"School Of Veterinary Science, The University Of Queensland, Gatton QLD, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"92bb9ba7-36e2-4620-badc-123b7b4817b2","Number":2,"Affiliation":"Faculty of Veterinary Science and Agricultural Science, The University of Melbourne","City":"Parkville","State":"VIC","Country":"Australia","AffiliationDisplay":"Faculty of Veterinary Science and Agricultural Science, The University of Melbourne, Parkville VIC, Australia"}],"AuthorsHtml":"Fellenberg C1, Stevenson M2, Haworth M1, Allavena R1, Henning J1","AffiliationsHtml":"
1School Of Veterinary Science, The University Of Queensland, Gatton QLD, Australia
2Faculty of Veterinary Science and Agricultural Science, The University of Melbourne, Parkville VIC, Australia
"}],"DisplayName":"Constanza Fellenberg","TimeDisplay":null},{"ContactId":"87dc8fa8-291f-4217-9ee5-78d3f4784166","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jinnat","LastName":"Ferdous","Position":"PhD student","Organization":"The University of Queensland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"mobile.twitter.com/JinnatLubna","_facebookUrl":"www.facebook.com/jinnat.ferdous.5","_linkedInUrl":"www.linkedin.com/in/jinnat-ferdous-4b4168a7","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"mobile.twitter.com/JinnatLubna","FacebookUrl":"www.facebook.com/jinnat.ferdous.5","LinkedInUrl":"www.linkedin.com/in/jinnat-ferdous-4b4168a7","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=mobile.twitter.com/JinnatLubna","FullFacebookUrl":"http://www.facebook.com/jinnat.ferdous.5","FullLinkedInUrl":"http://www.linkedin.com/in/jinnat-ferdous-4b4168a7","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":4},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=mobile.twitter.com/JinnatLubna","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.facebook.com/jinnat.ferdous.5","Font":"fab fa-facebook-square","Color":"#3b5998"},{"Link":"http://www.linkedin.com/in/jinnat-ferdous-4b4168a7","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Impact of commercial poultry trading networks on zoonotic disease transmission ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b3e517fe-cf58-4f9a-a3db-4c88394d0e77","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Html":null,"PlainText":"1. Objectives: The study aimed to assess poultry traders’ movement patterns and practices and identify how these patterns influence the occurrence of avian infection viruses (AIVs) in poultry.
2. Materials and methods: A longitudinal study was conducted in Bangladesh with 15 live poultry traders supplying Chattogram. A mixed method approach was adopted. Traders’ movements were recorded with a bespoke phone app over 3 consecutive days, thus comprising of 87 daily traders’ trips. Survey questions incorporated in the App captured details of the transactions, while oro-pharyngeal swabs collected from chickens at farms and transport endpoints, and environmental samples from vehicles were screened for AIVs. In-depth qualitative interviews with traders and employed staff provided data on perceptions, behaviors and barriers of poultry trading. Network analysis was used to describe movement patterns, and regression models to identify AIV risk factors, while thematic analysis was applied to the qualitative data.
3. Results: The median distance travelled by traders per trip was 107 km. During each trip, traders visited 1-3 farms (purchasing between 160 to 1,600 birds per farm and transporting in average 820 chicken per truck load) and supplied birds to 6-14 live bird markets or roadside trading shops. In each market, they supplied about 8 vendors. An individual market vendor would purchase a minimum of 20 and a maximum 445 chickens at a time. While all birds tested negative for AIVs on farms, some had become AIV-positive when tested at the trading endpoints. Qualitative interviews highlighted that employed staff merely follow the instructions provided by traders, including inconsistent adherence to biosecurity measures during loading and unloading of chickens.
4. Conclusions: Traders’ movement patterns and some of their practices were associated with the occurrence of AIV infection in their poultry and need to be addressed to achieve an effective mitigation of zoonotic disease risk.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Title":"Dr.","FirstName":"Jinnat","LastName":"Ferdous","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ferdous J"},{"PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Title":"Dr","FirstName":"Helal","LastName":"Uddin","Position":"Research Assistant","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Uddin H"},{"PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Title":"Dr","FirstName":"Easrat Jahan ","LastName":"Esha","Position":"MS fellow","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Esha E"},{"PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Title":"Dr","FirstName":"Fournie","LastName":"Guillaume","Position":"Senior Research Fellow","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Guillaume F"},{"PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Title":null,"FirstName":"OneHealth Poultry Hub and ","LastName":"UQ consortium","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"UQ consortium O"},{"PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Title":"Dr","FirstName":"Joerg","LastName":"Henning","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Henning J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Number":1,"Affiliation":"School of Veterinary Science, The University Of Queensland","City":"Gatton","State":"QLD","Country":"Australia","AffiliationDisplay":"School of Veterinary Science, The University Of Queensland, Gatton QLD, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Number":2,"Affiliation":"Faculty of Veterinary Medicine, Chattogram Veterinary & Animal Sciences University","City":"Chattogram","State":null,"Country":"Bangladesh","AffiliationDisplay":"Faculty of Veterinary Medicine, Chattogram Veterinary & Animal Sciences University, Chattogram, Bangladesh"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fe63584b-613a-42aa-b84b-6a63c70b34c2","Number":3,"Affiliation":"Department of Pathobiology and Population Sciences, Royal Veterinary College","City":"London","State":null,"Country":"UK","AffiliationDisplay":"Department of Pathobiology and Population Sciences, Royal Veterinary College, London, UK"}],"AuthorsHtml":"Ferdous J1, Uddin H2, Esha E2, Guillaume F3, UQ consortium O1,3, Henning J1","AffiliationsHtml":"
1School of Veterinary Science, The University Of Queensland, Gatton QLD, Australia
2Faculty of Veterinary Medicine, Chattogram Veterinary & Animal Sciences University, Chattogram, Bangladesh
3Department of Pathobiology and Population Sciences, Royal Veterinary College, London, UK
"}],"DisplayName":"Jinnat Ferdous","TimeDisplay":null},{"ContactId":"37780d6b-105e-4eed-acae-987862d2adca","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Federico","LastName":"Fernandez","Position":"","Organization":"Ministry of Livestock, Agriculture and Fisheries","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a2b72b27dcaa4f48a4013dd8ba07cff3","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Beef cattle farms characterization in Uruguay with emphasis in antimicrobial use","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ef7fe0f7-7cfe-4132-ab29-b4cdc1977bd0","Html":null,"PlainText":"
Objective
To characterize the beef producing farms in Uruguay at the end of the fattening stage, with emphasis in the use of antimicrobials
Materials and methods
The study was carried out in fattening farms from different beef cattle production systems as feedlot, based on pastures (pasture) and dairies. 120 farms were selected with a survey design that allows the projection of the results to the population. Complex sampling routines of the STATA 15® software were used for the analysis according to the sampling design.
Data was collected through a survey focusing on antimicrobial resistance including 40 questions about the farm: general information and management, livestock population, sanitary practices, use of antimicrobials, feeding and others.
Results
60.8% of the farms had productive/reproductive records; this percentage was higher in feedlots and increase with herd size.
87.2% of the farms had veterinary advice showing higher percentage in feedlots and dairies. Veterinary advice resulted statistically associated with productive/reproductive records (odds ratio 5.3).
Relative to antimicrobial, in 79.6% of the farms the veterinary was involved in the antimicrobial selection and in 12.4% with the antimicrobial administration. 56.4% recorded the antimicrobial use, with higher percentage in feedlots and dairies.
A quarter of the farms reported not using antimicrobial and 23% used World Health Organization critical importance antimicrobial, with large differences between production systems (67% dairy, 46% feedlots and 22% pasture). Of those that reported using any, the most used classes were tetracyclines followed by aminoglycosides combined with penicillin.
Conclusions
Farm characterization showed important differences between production systems, highlighting frequency of veterinary advice, good levels of records, good practices of use, and low level of antimicrobial use. This information can be used to identify associated factors to antimicrobial resistance, looking for best livestock practices to minimize this problem.
Key words: farm characterization, Uruguay, antimicrobial use.




","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ef7fe0f7-7cfe-4132-ab29-b4cdc1977bd0","Title":null,"FirstName":"Cyntia","LastName":"Moreira","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Moreira C"},{"PresentationId":"ef7fe0f7-7cfe-4132-ab29-b4cdc1977bd0","Title":"Dr.","FirstName":"Federico","LastName":"Fernandez","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Fernandez F"},{"PresentationId":"ef7fe0f7-7cfe-4132-ab29-b4cdc1977bd0","Title":"Mr.","FirstName":"Andres","LastName":"Gil","Position":"Board member","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Gil A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef7fe0f7-7cfe-4132-ab29-b4cdc1977bd0","Number":1,"Affiliation":"Ministry of Livestock, Agriculture and Fisheries","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Ministry of Livestock, Agriculture and Fisheries, Montevideo Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef7fe0f7-7cfe-4132-ab29-b4cdc1977bd0","Number":2,"Affiliation":"Facultad de Veterinaria, Universidad de la Republica, ","City":"Montevideo","State":"Montevideo","Country":"Uruguay.","AffiliationDisplay":"Facultad de Veterinaria, Universidad de la Republica, , Montevideo Montevideo, Uruguay."}],"AuthorsHtml":"Moreira C1, Fernandez F1, Gil A2","AffiliationsHtml":"
1Ministry of Livestock, Agriculture and Fisheries, Montevideo Montevideo, Uruguay
2Facultad de Veterinaria, Universidad de la Republica, , Montevideo Montevideo, Uruguay.
"},{"Title":"Antimicrobial resistance in Uruguay: prevalence estimation in beef cattle and farms in different production systems","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Html":null,"PlainText":"Objetives
In Uruguay, the last prevalence study dates from 2006 with changes in the productive system. Therefore, the objective was to estimate the prevalence and study the profile of susceptibility to antimicrobial agents at the national level in beef cattle prior to slaughter.

Materials and methods
The study was carried out from a two stage sampling: 120 farms were selected from the different productive system (beef cattle based on pastures, dairy and feedlot); and then 10 steers within each herd. Antimicrobial susceptibility test were performed to 1180 individual fecal samples, using generic Escherichia coli, non-selective media, automatized equipment and interpreted using clinical cut-off point. Laboratory data were combined with survey information to categorize results. To estimate the prevalence based on the sampling design, the complex sampling routine of the STATA 15® software was used.

Results
90.4% of the animals were pansensitive; 8.3% of the resistances were simple and 1.3% multiple; 6% were of WHO critical importance antimicrobials, with higher resistances in strata feedlot. The most frequent resistance was for tetracycline, followed by colistin and ampicillin. At the farm level, the resistance values were higher due to dispersion; 35% of the farms were resistant to WHO critical importance antimicrobials and 51.6% presented some resistance, with no strata difference. 1.82% of the farms were multi-resistant.
Comparing the results with the previous study, they do not differ significantly which means that the production systems still have high sensitivity to antimicrobials.
Conclusions
Our results indicates the farm situation prior to slaughter is of a very low level of prevalence of antimicrobial resistance and with a dispersed distribution at the farm level, compatible with limited antimicrobial use. The update of the situation is essential for decision makers in public policies, to support and evaluate actions.

Key words: antimicrobial resistance, beef cattle, Uruguay.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Title":null,"FirstName":"Cyntia","LastName":"Moreira","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Moreira C"},{"PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Title":"Dr.","FirstName":"Federico","LastName":"Fernandez","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Fernandez F"},{"PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Title":null,"FirstName":"Paula","LastName":"Mussio","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mussio P"},{"PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Title":null,"FirstName":"Narela","LastName":"Alberti","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Alberti N"},{"PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Title":null,"FirstName":"Inés","LastName":"Martínez","Position":"Latitud, Fundación LATU","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Martínez I"},{"PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Title":null,"FirstName":"Gonzalo","LastName":"Arbulo","Position":"Instituto Nacional de Carnes","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Arbulo G"},{"PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Title":"Mr.","FirstName":"Andres","LastName":"Gil","Position":"Board member","Affiliations":"5","IsPresenting":false,"SortOrder":7,"DisplayName":"Gil A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Number":1,"Affiliation":"Ministry of Livestock, Agriculture and Fisheries","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Ministry of Livestock, Agriculture and Fisheries, Montevideo Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Number":2,"Affiliation":"Laboratorio Tecnológico del Uruguay ","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Laboratorio Tecnológico del Uruguay , Montevideo Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Number":3,"Affiliation":"Latitud, Fundación LATU","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Latitud, Fundación LATU, Montevideo Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Number":4,"Affiliation":"Instituto Nacional de Carnes","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Instituto Nacional de Carnes, Montevideo Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f67ba6e3-0247-4e23-b10c-0368183bd896","Number":5,"Affiliation":"Facultad de Veterinaria, Universidad de la República","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Facultad de Veterinaria, Universidad de la República, Montevideo Montevideo, Uruguay"}],"AuthorsHtml":"Moreira C1, Fernandez F1, Mussio P2, Alberti N2, Martínez I3, Arbulo G4, Gil A5","AffiliationsHtml":"
1Ministry of Livestock, Agriculture and Fisheries, Montevideo Montevideo, Uruguay
2Laboratorio Tecnológico del Uruguay , Montevideo Montevideo, Uruguay
3Latitud, Fundación LATU, Montevideo Montevideo, Uruguay
4Instituto Nacional de Carnes, Montevideo Montevideo, Uruguay
5Facultad de Veterinaria, Universidad de la República, Montevideo Montevideo, Uruguay
"},{"Title":"Identification of associated factors with antimicrobial resistance in beef farms in Uruguay","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9acf0674-b5dd-45c2-92f9-ef54f2048ab8","Html":null,"PlainText":"Objective
Antimicrobial resistance (AMR) is an important global problem that is being addressed from the One Health concept, associated factors could lead to identify and implement a control strategy. This study was conducted to identify the associated factors of AMR occurrence in each production sector.
Materials and methods
120 beef farms in the last stage prior to slaughter were selected with a sampling design that allows the projection of the results to the target population. Susceptibility to antimicrobial agents (ATM) were studied using generic Escherichia coli as indicator bacteria in fecal samples. Potential farms associated factors to AMR were collected using a survey with relevant information for the characterization of the farms. Farms were categorized using lab results and then used as the dependent variable for the regression models: multiresistance farm, and farm that had some antimicrobial resistance. The complex sampling routine of the STATA 15® software and logistic regression models were used for the analysis according to the sampling design.
Results
Using multivariable logistic regression models, associated factors were identified. In one model intensification (categorized number of bovines/hectare), was the unique statistically associated variable with farms that had some antimicrobial resistance. In the other model, antimicrobial administration and bovine/hectare were statistically associated with multiresistance farms. Other statistically significant associations were identified using univariable logistic regressions.
Conclusions
Our findings, therefore, are consistent with other studies, confirming an association with AMR.
Although certain factors were shown to be associated with the presentation of AMR, the epidemiology of AMR is clearly multifactorial. More epidemiological studies and in greater depth are necessary to identify other potential associated factors useful for a control strategy.
Key words: associated factors, antimicrobial resistance, Uruguay, beef cattle..
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9acf0674-b5dd-45c2-92f9-ef54f2048ab8","Title":null,"FirstName":"Cyntia","LastName":"Moreira","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Moreira C"},{"PresentationId":"9acf0674-b5dd-45c2-92f9-ef54f2048ab8","Title":"Dr.","FirstName":"Federico","LastName":"Fernandez","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Fernandez F"},{"PresentationId":"9acf0674-b5dd-45c2-92f9-ef54f2048ab8","Title":"Mr.","FirstName":"Andres","LastName":"Gil","Position":"Board member","Affiliations":"2","IsPresenting":true,"SortOrder":3,"DisplayName":"Gil A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9acf0674-b5dd-45c2-92f9-ef54f2048ab8","Number":1,"Affiliation":"Ministry of Livestock, Agriculture and Fisheries","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Ministry of Livestock, Agriculture and Fisheries, Montevideo Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9acf0674-b5dd-45c2-92f9-ef54f2048ab8","Number":2,"Affiliation":"Facultad de Veterinaria, Universidad de la Republica, ","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Facultad de Veterinaria, Universidad de la Republica, , Montevideo Montevideo, Uruguay"}],"AuthorsHtml":"Moreira C1, Fernandez F1, Gil A2","AffiliationsHtml":"
1Ministry of Livestock, Agriculture and Fisheries, Montevideo Montevideo, Uruguay
2Facultad de Veterinaria, Universidad de la Republica, , Montevideo Montevideo, Uruguay
"}],"DisplayName":"Federico Fernandez","TimeDisplay":null},{"ContactId":"1eb2f9fa-fa0f-467c-a4cc-32e273bb62af","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Helena","LastName":"Ferreira","Position":"Researcher","Organization":"ILVO","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Multi-actor farm health teams – a promising approach aimed at improving antimicrobial use practices ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"1410ca0d-b8f8-4891-ba3d-4007cd4e8b2d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.B - AMU","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"aedcc92d-906d-42b8-b40d-0e7c78772a29","Html":null,"PlainText":"Objective(s)
In an effort to tackle the problem of antibiotic use (AMU), several strategies have been put forward, namely bottom-up approaches that focus on the coaching, education and dissemination of innovative solutions to farmers and other stakeholders involved in animal production. In this action research study we demonstrate how a multi-actor farm health (MAFH) approach has been implemented in different types of farms across Europe
Materials and methods
MAFH teams (MAFHT) were created within the DISARM thematic network, composed of the three core interested parties (farmer/farm manager, feed/other advisor, veterinarian) with the help of a project facilitator. In total, 42 pilot farms in 9 European countries (Belgium, Denmark, France, Greece, Netherlands, Latvia, Romania, Spain, UK) were involved. The MAFHT focused on pigs (Netherlands and Spain), poultry (Belgium and Latvia), dairy cattle (Denmark, Romania and UK) and dairy sheep (France and Greece). A common, structured approach was followed when addressing challenges and proposing solutions. Data was also collected on perceptions of the economic impact of reduced antimicrobial use.
Results
Most case studies show overwhelmingly positive impact in the reduction of antimicrobial use (AMU) through coaching with MAFHT after 2 years. Farmers recognized the importance of the MAFHT in identifying critical animal health problems and alternatives or improved procedures that could be employed when aiming to reduce AMU on their farms. Based on the experiences of the MAFHT, an educational tool has been developed (DISARM toolbox) to facilitate coaching activities and empower farmers/farm managers in creating their own multi-actor farm health teams.
Conclusion
In this paper we describe how to successfully implement a coaching strategy, aimed at reducing AMU in different European countries and different animal production systems. The study shows that the MAFHT approach can be perceived as useful for farmers, therefore playing an instrumental role in the fight against AMR.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"aedcc92d-906d-42b8-b40d-0e7c78772a29","Title":"Dr.","FirstName":"Helena","LastName":"Cardoso De Carvalho Ferreira","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Cardoso De Carvalho Ferreira H"},{"PresentationId":"aedcc92d-906d-42b8-b40d-0e7c78772a29","Title":"Dr.","FirstName":"Laura","LastName":"Peeters","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Peeters L"},{"PresentationId":"aedcc92d-906d-42b8-b40d-0e7c78772a29","Title":"Dr.","FirstName":"Ilias","LastName":"Chantziaras","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Chantziaras I"},{"PresentationId":"aedcc92d-906d-42b8-b40d-0e7c78772a29","Title":"Dr.","FirstName":"Marc ","LastName":"Heyndrickx","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Heyndrickx M"},{"PresentationId":"aedcc92d-906d-42b8-b40d-0e7c78772a29","Title":"Dr.","FirstName":"Erwin","LastName":"Wauters","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Wauters E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aedcc92d-906d-42b8-b40d-0e7c78772a29","Number":1,"Affiliation":"ILVO - Flanders Research Institute for Agriculture, Fisheries and Food","City":"Merelbeke","State":"Gent","Country":"Belgium","AffiliationDisplay":"ILVO - Flanders Research Institute for Agriculture, Fisheries and Food, Merelbeke Gent, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aedcc92d-906d-42b8-b40d-0e7c78772a29","Number":2,"Affiliation":"Faculty of Veterinary Medicine, Ghent University","City":"Merelbeke","State":"Gent","Country":"Belgium","AffiliationDisplay":"Faculty of Veterinary Medicine, Ghent University, Merelbeke Gent, Belgium"}],"AuthorsHtml":"Cardoso De Carvalho Ferreira H1, Peeters L1, Chantziaras I2, Heyndrickx M1, Wauters E1","AffiliationsHtml":"
1ILVO - Flanders Research Institute for Agriculture, Fisheries and Food, Merelbeke Gent, Belgium
2Faculty of Veterinary Medicine, Ghent University, Merelbeke Gent, Belgium
"}],"DisplayName":"Helena Ferreira","TimeDisplay":null},{"ContactId":"1d444fe2-bcbf-4f8b-b977-b0852cee6167","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Organization":"Melbourne Veterinary School","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Simon is an Associate Professor in Veterinary Epidemiology and Public Health in the Faculty of Veterinary and Agricultural Sciences, The University of Melbourne. He teaches epidemiology into the Doctor of Veterinary Medicine, One Health breadth subjects and the Animal Disease Biotechnology stream of the Science degree. His research focuses on modelling infectious disease outbreaks, Bayesian diagnostic test validation, zoonoses surveillance, outbreak investigation and control, with projects on COVID-19, Q fever, foot-and-mouth disease, African swine fever, Mycoplasma bovis, foodborne disease, influenzas and arboviruses. Before heading into academic, Simon worked as a consultant for the World Health Organisation and Vets without Borders in Southeast Asia, and is a founding member of an OIE Collaborating Centre for Diagnostic Test Validation Science in the Asia-Pacific Region.","Presentations":[{"Title":"Using Field Projects to Strengthen Veterinary Epidemiology Capacity in the Asia-Pacific Region.","Bio":"Simon is an Associate Professor in Veterinary Epidemiology and Public Health in the Faculty of Veterinary and Agricultural Sciences, The University of Melbourne. He teaches epidemiology into the Doctor of Veterinary Medicine, One Health breadth subjects and the Animal Disease Biotechnology stream of the Science degree. His research focuses on modelling infectious disease outbreaks, Bayesian diagnostic test validation, zoonoses surveillance, outbreak investigation and control, with projects on COVID-19, Q fever, foot-and-mouth disease, African swine fever, Mycoplasma bovis, foodborne disease, influenzas and arboviruses. Before heading into academic, Simon worked as a consultant for the World Health Organisation and Vets without Borders in Southeast Asia, and is a founding member of an OIE Collaborating Centre for Diagnostic Test Validation Science in the Asia-Pacific Region.","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"e3424a2f-bb76-4ed8-875a-a9e1c22c23b3","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"5_Special Session Part 1: Strengthening Veterinary Epidemiology and One Health Capacity","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"fe7ee3e3-6e4d-481e-800a-95c73e94cab1","Html":null,"PlainText":"Since 2019, the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) has undertaken online training activities aimed at strengthening of the veterinary epidemiology workforce in seven countries in the Asia Pacific region (Cambodia, Indonesia, Laos PDR, Philippines, Papua New Guinea, Timor-Leste, and Vietnam).

The APCOVE program has now moved into the “applied teaching” phase. Following successful completion of the eLearning modules, participants undertake field epidemiology research projects. The purpose of these projects is to build capacity by providing opportunities for the trainees to extend, apply and utilise their knowledge and skills in epidemiological investigation developed in the eLearning modules through hands-on field projects.

This presentation will overview the concept of teaching by application using 35 trainees and their selected domestic projects as a case study for practical ways of strengthening the veterinary epidemiology workforce in resource poor countries, while using available infrastructure and resources. The projects have been selected based on situations of relevance to the epidemiology workforce, where eLearning outcomes can be applied. Topics cover One health, veterinary public health, transboundary animal diseases, or make contributions to confronting the impacts of food security and climate change challenges.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fe7ee3e3-6e4d-481e-800a-95c73e94cab1","Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Firestone S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fe7ee3e3-6e4d-481e-800a-95c73e94cab1","Number":1,"Affiliation":"Melbourne Veterinary School","City":"Parkville","State":"Victoria","Country":"Australia","AffiliationDisplay":"Melbourne Veterinary School, Parkville Victoria, Australia"}],"AuthorsHtml":"Firestone S1","AffiliationsHtml":"
1Melbourne Veterinary School, Parkville Victoria, Australia
"},{"Title":"The Swiss-army knife Bayesian latent class model for diagnostic test evaluation with complex data structures","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a72e676e-c7d7-4b76-8c8c-1c734d9b93aa","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.C - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Html":null,"PlainText":"Objective
This paper aims to present a general form of the Bayesian latent class model for the evaluation of diagnostic test accuracy and estimation of disease prevalence with an imperfect reference test that can be applied to a variety of complex data structures, including hierarchical structuring, repeated testing, unbalanced testing designs, multiple conditionally dependent diagnostic tests and relaxation of the assumptions of constant diagnostic sensitivity and specificity.

Materials and methods
A generalized ‘modular’ approach to coding latent class models was developed with a logit function of true prevalence at its core. The code was expanded to incorporate multiple (≥3) conditionally dependent tests and their associated covariance terms and constraints, random effects for repeated measures or clustering, and factors influencing true prevalence, apparent prevalence, diagnostic sensitivity and specificity. The modular code was used on a series of case studies of varying complexity illustrating the model’s adaptable usage, expanding aspects of the code as appropriate to the data structure, including testing data on Q Fever, Mycoplasma bovis and avian, equine, and porcine influenza.

Results
The modular code facilitated Bayesian latent class modelling of five diagnostic test evaluation datasets of a broad range of diseases with diverse complex data structures. The adaptability of the approach was demonstrated through applying the same base coding framework to estimate parameters not typically estimated using simpler model structures currently in common use.

Conclusions
The code developed can be adapted to meet the growing need for advanced analytical methods to evaluate novel and new diagnostic tests for emerging diseases. Bayesian latent class analysis models that can accommodate varying complexity are becoming increasingly relevant in both the veterinary and medical disciplines.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Ms","FirstName":"Allison","LastName":"Cheung","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Cheung A"},{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Mrs.","FirstName":"Ayesha","LastName":"Salgadu","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Salgadu A"},{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Dr","FirstName":"Caitlin","LastName":"Wood","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Wood C"},{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Dr","FirstName":"Solomon","LastName":"Woldeyohannes","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Woldeyohannes S"},{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Dr","FirstName":"Tamsin","LastName":"Barnes","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Barnes T"},{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Dr","FirstName":"Mai Hliang","LastName":"Loh","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Loh M"},{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Dr","FirstName":"James","LastName":"Hollier","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Hollier J"},{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Dr","FirstName":"Nagendra","LastName":"Singanallur","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":8,"DisplayName":"Singanallur N"},{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Prof.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Stevenson M"},{"PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":10,"DisplayName":"Firestone S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Number":1,"Affiliation":"Asia-Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne","City":"Parkville","State":"Victoria","Country":"Australia","AffiliationDisplay":"Asia-Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville Victoria, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Number":2,"Affiliation":"The University of Queensland, School of Veterinary Science","City":"Gatton","State":"Queensland","Country":"Australia","AffiliationDisplay":"The University of Queensland, School of Veterinary Science, Gatton Queensland, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Number":3,"Affiliation":"CSIRO Australian Centre for Disease Preparedness, Australian Animal Health Laboratory","City":"Newcomb","State":"Victoria","Country":"Australia","AffiliationDisplay":"CSIRO Australian Centre for Disease Preparedness, Australian Animal Health Laboratory, Newcomb Victoria, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c1cdc289-5819-46f1-a8c5-c8406a46f40b","Number":4,"Affiliation":"CSIRO Australian Centre for Disease Preparedness, CSIRO Health and Biosecurity","City":"Newcomb","State":"Victoria","Country":"Australia","AffiliationDisplay":"CSIRO Australian Centre for Disease Preparedness, CSIRO Health and Biosecurity, Newcomb Victoria, Australia"}],"AuthorsHtml":"Cheung A1, Salgadu A1, Wood C2, Woldeyohannes S2, Barnes T2, Loh M3, Hollier J3, Singanallur N4, Stevenson M1, Firestone S1","AffiliationsHtml":"
1Asia-Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville Victoria, Australia
2The University of Queensland, School of Veterinary Science, Gatton Queensland, Australia
3CSIRO Australian Centre for Disease Preparedness, Australian Animal Health Laboratory, Newcomb Victoria, Australia
4CSIRO Australian Centre for Disease Preparedness, CSIRO Health and Biosecurity, Newcomb Victoria, Australia
"},{"Title":"Tips for communicating modelling results to decision makers","Bio":"Simon is an Associate Professor in Veterinary Epidemiology and Public Health in the Faculty of Veterinary and Agricultural Sciences, The University of Melbourne. He teaches epidemiology into the Doctor of Veterinary Medicine, One Health breadth subjects and the Animal Disease Biotechnology stream of the Science degree. His research focuses on modelling infectious disease outbreaks, Bayesian diagnostic test validation, zoonoses surveillance, outbreak investigation and control, with projects on COVID-19, Q fever, foot-and-mouth disease, African swine fever, Mycoplasma bovis, foodborne disease, influenzas and arboviruses. Before heading into academic, Simon worked as a consultant for the World Health Organisation and Vets without Borders in Southeast Asia, and is a founding member of an OIE Collaborating Centre for Diagnostic Test Validation Science in the Asia-Pacific Region.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"a2e9d146-090f-4806-9173-28a92bbc0dfd","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"11_Special Session: Animal Disease Spread Modelling","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"18034c3c-3511-47bc-992e-8ee86b4e0f6c","Html":null,"PlainText":"Fit-for-purpose disease models can be used to assist a range of outbreak management decisions. While the ability to estimate the likely spread of disease is the most obvious use of a model, other uses include the ability to guide decisions around when to change a control policy, how best to distribute resources (e.g., vaccination) and assessment of surveillance strategies to detect disease once eradication is believed to have been achieved.

Communication of modelling results to decision makers is an issue that deserves just as much attention as model development itself. Most would agree that implicit ‘trust’ in modelling outputs is rarely advised. At the other end of the spectrum complete distrust of modelling outputs can lead to missed opportunities for better outbreak control. The challenge for the disease modelling community is how to ensure that decision makers: (1) have confidence in modelling outputs; and (2) fully understand the impact of data quality, parameter uncertainty and stochastic variability on model outputs.

We propose three principles for communicating modelling results to decision makers. Firstly, take the time to establish an effective working relationship with your decision maker. As a modeller you play an important role ‘educating’ your colleague around the finer points of infectious disease, epidemiology, biostatistics and (sometimes) computer science. You can’t expect these complexities to be communicated or fully understood after a single meeting or email exchange. Secondly, communicate uncertainty in model outputs using graphical methods, wherever possible. Finally, encourage your decision maker to focus on broadscale model behaviours rather than place and time detail. Graphical summaries showing how the outcome of interest (e.g., number of infected places, outbreak duration) vary in response to changes to two to three key inputs parameters provide a deeper understanding of the combined (and often interacting) impact of different control measures on disease outcomes.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"18034c3c-3511-47bc-992e-8ee86b4e0f6c","Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":0,"DisplayName":"Stevenson M"},{"PresentationId":"18034c3c-3511-47bc-992e-8ee86b4e0f6c","Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Firestone S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"18034c3c-3511-47bc-992e-8ee86b4e0f6c","Number":1,"Affiliation":"Faculty of Veterinary and Agricultural Sciences, The University of Melbourne","City":"Parkville","State":"VIC","Country":"Australia","AffiliationDisplay":"Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville VIC, Australia"}],"AuthorsHtml":"Stevenson M1, Firestone S1","AffiliationsHtml":"
1Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville VIC, Australia
"}],"DisplayName":"Simon Firestone","TimeDisplay":null},{"ContactId":"c37de192-a6ce-4bec-aa9a-11ee95c37937","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mariana","LastName":"Fonseca","Position":"PhD Student","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/70c188ca008a484fafb266716cef35a8","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"CaDNetASR: An On-farm Surveillance System for Antimicrobial Stewardship and Resistance on Dairy Farms in Canada","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Html":null,"PlainText":"Objectives
Canada has implemented an on-farm surveillance system for antimicrobial use (AMU) and antimicrobial resistance (AMR) in the dairy sector (CaDNetASR) to promote antimicrobial stewardship.
The objective was to describe the development and implementation of CaDNetASR.
Material and Methods
An Expert Panel (EP) of researchers from the five Canadian veterinary schools, one human medical school, and the Public Health Agency of Canada was created to develop the surveillance system. The EP initiated a draft framework outlining the essential elements of the surveillance system, which was circulated to a Steering Committee (SC) composed of representatives from provincial milk boards, veterinary organizations, and members of the EP. The EP used the recommendations of the SC to start implementing the framework, recognizing the need for refinement in future years. CaDNetASR has the following components: 1) AMU quantification; 2) risk factor questionnaires; and 3) methods for detection of AMR in three enteric bacteria (generic Escherichia coli, Campylobacter spp., and Salmonella spp.) recovered from pre-weaned calves, heifers, cows and the manure storage. A cloud base digital platform was created to store data.
Results
The CaDNetASR enrolled 144 sentinel farms, in five Canadian provinces (British Columbia, Alberta, Ontario, Quebec and Nova Scotia), and in September 2019, the surveillance system was initiated. In 2019 and 2020, 97% and 94% of samples were positive for E. coli, 64%, and 49% of samples were positive for Campylobacter spp., and 5.0% and 7.7% of samples were positive for Salmonella spp., respectively.
Conclusions
The CaDNetASR will provide benchmarking metrics regarding AMU practices, AMR, and animal health and help enhance antimicrobial stewardship practices on Canadian dairy farms. In the future, CaDNetASR will be incorporated into CIPARS, (Canadian Integrated Program for Antimicrobial Resistance and Surveillance) a national program that monitors trends in AMU and AMR in multiple species, including humans, in Canada.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Dr.","FirstName":"Mariana","LastName":"Fonseca","Position":"PhD Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Fonseca M"},{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Dr","FirstName":"Luke","LastName":"Heider","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Heider L"},{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Mr.","FirstName":"David","LastName":"Leger","Position":"Veterinary Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Leger D"},{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Dr.","FirstName":"Daniella","LastName":"Rizzo","Position":"Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Rizzo D"},{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Prof.","FirstName":"Simon","LastName":"Dufour","Position":"Professor of Epidemiology","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Dufour S"},{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"5","IsPresenting":false,"SortOrder":6,"DisplayName":"Barkema H"},{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":7,"DisplayName":"Kelton D"},{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Dr.","FirstName":"David","LastName":"Renaud","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":8,"DisplayName":"Renaud D"},{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Mr.","FirstName":"J Trenton","LastName":"Mcclure","Position":"Professor, Large Animal Internal Medicine","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Mcclure J"},{"PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Title":"Mr.","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":10,"DisplayName":"Sanchez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Number":1,"Affiliation":"Health Management Department, University Of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Health Management Department, University Of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Number":2,"Affiliation":"Public Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Number":3,"Affiliation":"Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal","City":"Saint-Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Number":4,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e9a1101-09e1-4eae-a2bd-303c1018989f","Number":5,"Affiliation":"Department of Production Animal Health, University of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, University of Calgary, Calgary Alberta, Canada"}],"AuthorsHtml":"Fonseca M1, Heider L1, Leger D2, Rizzo D2, Dufour S3, Barkema H5, Kelton D4, Renaud D4, Mcclure J1, Sanchez J1","AffiliationsHtml":"
1Health Management Department, University Of Prince Edward Island, Charlottetown PE, Canada
2Public Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Guelph Ontario, Canada
3Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal, Saint-Hyacinthe Québec, Canada
4Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada
5Department of Production Animal Health, University of Calgary, Calgary Alberta, Canada
"},{"Title":"Sources of variation for the isolation of antimicrobial resistant Campylobacter spp. from Canadian dairy herds","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8843ea3e-07e1-4949-9146-59cb5f6a796f","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Html":null,"PlainText":"There is limited information regarding the presence of Campylobacter spp. and associated antimicrobial resistance (AMR) profiles from Canadian dairy farms.
Objectives
The objective was to investigate risk factors, including the use of antimicrobials (AM), associated with AMR in Campylobacter spp. isolates.
Material and Methods
A total of 140 dairy herds were included. Pooled fecal samples from five animals from each of three age groups (calves, heifers, lactating cows) and a manure storage sample were obtained in 2019/2020. AMU was calculated as defined course dose (the dose for a standardized complete treatment course on a standard animal) per population time (DCD/100 animals/year). Antimicrobial susceptibility testing was conducted using a microbroth dilution to determine the minimum inhibitory concentrations. Three-level, mixed effects, multivariable logistic model, with farm and sample type as random effects, were built with resistance against ciprofloxacin, nalidixic acid and tetracycline as the outcome, and sample type, region, AM class, and AMU as predictors.
Results
The largest proportion of positive samples were from cows (84%). A total of 134 farms (96%) had at least one sample type positive for Campylobacter spp. C. jejuni was the most common species isolated (93%). Resistance to tetracycline was most common across all sample types (43 to 58%), followed by fluoroquinolones (17 to 24%). Median DCD/100 animals/year was 87 (IQR: 54-145). Isolates from Ontario and from calves were more likely to be resistant. The association of AMU with resistance depended on the AM class. The probability of resistance to tetracycline was higher for each unit increase in AMU while the probability of resistance to quinolones decreased.
Conclusions
Prevalence of Campylobacter spp. was high and varied across sample types. There were regional and sample type differences in AMR patterns. AMU was associated with the recovery of tetracycline and quinolone resistant Campylobacter species, although in different directions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr.","FirstName":"Mariana","LastName":"Fonseca","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Fonseca M"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr.","FirstName":"Luke ","LastName":"Heider","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Heider L"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr.","FirstName":"David","LastName":"Leger","Position":"Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Leger D"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr.","FirstName":"Daniella","LastName":"Rizzo","Position":"Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Rizzo D"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr.","FirstName":"Simon","LastName":"Dufour","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Dufour S"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr. ","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"5","IsPresenting":false,"SortOrder":6,"DisplayName":"Barkema H"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":7,"DisplayName":"Kelton D"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr.","FirstName":"David ","LastName":"Renaud","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":8,"DisplayName":"Renaud D"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr. ","FirstName":"J T.","LastName":"McClure","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"McClure J"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr. ","FirstName":"Gregory","LastName":"Keefe","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":10,"DisplayName":"Keefe G"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr. ","FirstName":"Anne","LastName":"Muckle","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":11,"DisplayName":"Muckle A"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr.","FirstName":"Henrik","LastName":"Stryhn","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":12,"DisplayName":"Stryhn H"},{"PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Title":"Dr. ","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":13,"DisplayName":"Sanchez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Number":1,"Affiliation":"University Of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"University Of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Number":2,"Affiliation":"Public Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Number":3,"Affiliation":"Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal,","City":"Saint-Hyacinthe","State":"Quebéc","Country":"Canada","AffiliationDisplay":"Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal,, Saint-Hyacinthe Quebéc, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Number":4,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"600dfbea-38a7-4d94-bae7-b80663fe64f1","Number":5,"Affiliation":"Department of Production Animal Health, University of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, University of Calgary, Calgary Alberta, Canada"}],"AuthorsHtml":"Fonseca M1, Heider L1, Leger D2, Rizzo D2, Dufour S3, Barkema H5, Kelton D4, Renaud D4, McClure J1, Keefe G1, Muckle A1, Stryhn H1, Sanchez J1","AffiliationsHtml":"
1University Of Prince Edward Island, Charlottetown PE, Canada
2Public Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Guelph Ontario, Canada
3Department of Pathology and Microbiology, Faculty of Veterinary Medicine, Université de Montréal,, Saint-Hyacinthe Quebéc, Canada
4Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada
5Department of Production Animal Health, University of Calgary, Calgary Alberta, Canada
"},{"Title":"Describing dairy producers’ perceptions towards antimicrobial use and animal welfare in Atlantic Canada","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"b02a0dcb-8e60-48c0-80d4-4f8970c9425e","Html":null,"PlainText":"Antimicrobial use (AMU) is recognized as the main driver for antimicrobial resistance development. However, there is debate as to whether AMU contributes to better or worse welfare of dairy cattle. Although there is likely a link between AMU and welfare, there is no research to our knowledge assessing producer perspectives of this relationship.
The objective of this study was to describe dairy producers' definition of animal welfare (AW) and its relationship to AMU.
Material and Methods
An electronic questionnaire was distributed to dairy producers in Atlantic Canada. As part of a larger survey, three questions were asked: 1) did the producer think there was a relationship between AW and AMU; 2) how would the producer define AW, and 3) what was the producer’s perceived relationship between AW and AMU. The latter two questions were open-ended and responses were analyzed using thematic analysis to inductively identify patterns in the data.
Results
A total of 38 farmers answered the three questions. Most (94.7%) of the participants answered that there was a relationship between AW and AMU. The words used most frequently to define AW are illustrated in Figure 1. Two main themes were identified in the third question: some producers believed that prevention measures that improve AW are essential to avoid using antimicrobials, while others indicated that AMU is necessary to restore AW.
Conclusions
Producer perceptions about the link between AMU and AW varied, but almost all saw a link between the two. These findings are helpful to identify possible barriers encountered by producers to reducing AMU without negatively impacting AW.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"b02a0dcb-8e60-48c0-80d4-4f8970c9425e","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2fa4af7f55754190bde4ae56de649336","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"b02a0dcb-8e60-48c0-80d4-4f8970c9425e","Title":"Dr.","FirstName":"Mariana","LastName":"Fonseca","Position":"PhD Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Fonseca M"},{"PresentationId":"b02a0dcb-8e60-48c0-80d4-4f8970c9425e","Title":"Ms.","FirstName":"Caroline","LastName":"Ritter","Position":"Assistant Professor and Canada Research Chair","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ritter C"},{"PresentationId":"b02a0dcb-8e60-48c0-80d4-4f8970c9425e","Title":"Dr.","FirstName":"Kathryn","LastName":"Proudfoot","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Proudfoot K"},{"PresentationId":"b02a0dcb-8e60-48c0-80d4-4f8970c9425e","Title":"Dr","FirstName":"Luke","LastName":"Heider","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Heider L"},{"PresentationId":"b02a0dcb-8e60-48c0-80d4-4f8970c9425e","Title":"Mr.","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Sanchez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b02a0dcb-8e60-48c0-80d4-4f8970c9425e","Number":1,"Affiliation":"University Of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"University Of Prince Edward Island, Charlottetown PE, Canada"}],"AuthorsHtml":"Fonseca M1, Ritter C1, Proudfoot K1, Heider L1, Sanchez J1","AffiliationsHtml":"
1University Of Prince Edward Island, Charlottetown PE, Canada
"}],"DisplayName":"Mariana Fonseca","TimeDisplay":null},{"ContactId":"d97fc4c7-618d-4d0b-9d66-d1e53c35ec89","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alexander","LastName":"Fonseca-Martinez","Position":"","Organization":"Michigan State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Can a Cross-Sectional Study Estimate the Incidence of Health Events? Analysis in a Systematic Review","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"0862b0d0-27f4-4e0c-b764-b82525142b47","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.A - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"152e8054-7380-4142-8736-0aea701e6daf","Html":null,"PlainText":"One of the main purposes of observational studies is to seek cause and effect associations. The ability to provide measures of effect representing causal parameters, such as incidence density ratio, depending on the study design. A population-based cohort study is considered the ideal design to estimate incidence. However, conditional on meeting several assumptions the prevalence odds ratio obtained from cross-sectional studies might be interpreted as a measure of incidence rate ratio. These assumptions relate to the population, exposure measure, and outcome measure. Although cross-sectional studies are common in veterinary epidemiology, it is uncommon for authors to discuss these assumptions and the estimate obtained. As part of a systematic review developed to evaluate the association between exposure to animal-feeding operations (AFOs) and the incidence of health effects of individuals living near those facilities, observational studies were evaluated for inclusion. A large number of the studies in the review were cross-sectional and reported a prevalence odds ratio. Given the aim to assess causal associations, we determined if the assumptions could be evaluated, and estimates considered to estimate comparative incidence rather than comparative prevalence. 33 relevant references were identified, of which 14 were cross-sectional studies. 11 reported the prevalence odds ratio and 6 of these references met the assumptions to estimate comparative incidence. Health outcomes from cross-sectional studies that did not meet any of the above conditions were considered an estimate of comparative prevalence. Only references that provided estimates of comparative incidence were eligible for the risk of bias assessment. In conclusion, half of the cross-sectional studies identified were able to provide estimates of the incidence of health events and be part of the risk of bias assessment.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"152e8054-7380-4142-8736-0aea701e6daf","Title":"Mr.","FirstName":"Alexander","LastName":"Fonseca-Martinez","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Fonseca-Martinez A"},{"PresentationId":"152e8054-7380-4142-8736-0aea701e6daf","Title":"Ms.","FirstName":"Annette","LastName":"O'Connor","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"O'Connor A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"152e8054-7380-4142-8736-0aea701e6daf","Number":1,"Affiliation":"Michigan State University","City":"East Lansing","State":"MI","Country":"USA","AffiliationDisplay":"Michigan State University, East Lansing MI, USA"}],"AuthorsHtml":"Fonseca-Martinez A1, O'Connor A1","AffiliationsHtml":"
1Michigan State University, East Lansing MI, USA
"}],"DisplayName":"Alexander Fonseca-Martinez","TimeDisplay":null},{"ContactId":"30b678e6-f6be-48f9-930e-8b2aa6a90e5e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Diletta","LastName":"Fornasiero","Position":null,"Organization":"Istituto Zooprofilattico Sperimentale delle Venezie","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cc602d6fc2d5421db3287814cbc1e790","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Epidemiological investigations and analyses of H5N1 HPAI outbreaks in north Italy in 2021-2022","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0791157-2a58-4eff-83c4-05e358114fbc","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.E - Epidemiology of avian influenza","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"6eea412a-de45-4da4-b7cc-2af72e88e174","Html":null,"PlainText":"Objective
From October 2021, Italy has been involved in a severe highly pathogenic avian influenza (HPAI) epidemic sustained by a H5N1 virus. As of February 2021, 309 outbreaks in poultry were notified mainly in the north-eastern Regions. Despite enhanced biosecurity and surveillance measures, the epidemic spread unprecedentedly fast, with massive economic impacts. We present a preliminary assessment of the potential reasons leading to such rapid spread, accounting for both epidemiological evidences and phylogenetic support.

Materials and methods
Epidemiological investigations mainly aimed at identifying risk factors and contacts between infected and non-infected farms occurring during a temporal risk window. Investigated contacts included: movements of vehicles/personnel, sharing of equipment, and/or belonging to the same owners. These data where then integrated with genetic information of the complete genome of 298 viruses, and geographical distances between outbreaks, to assess possible scenarios of the epidemic evolution, hence granting insights in the disease dynamics.

Results
Preliminary phylogenetic analyses indicated at least 7 new introductions from wild to domestic birds, while contact-tracing activities showed 37 at-risk contacts related to vehicles/personnel movements, and 65 outbreaks belonging to the same owners. The close proximity of farms in such densely populated poultry areas, and at-risk contacts appear to be the main factors driving the rapid spread of the disease, leading to several secondary outbreaks. The phylogenetic and network analyses based on complete genome pinpointed that other potential unregistered and uncontrolled contacts between outbreaks occurred.

Conclusion
The integration of different analyses permits to monitor the epidemic dynamic, allowing real-time interventions to re-modulate the implementation of control measures. The recent epidemic demonstrates the need to further strengthen the biosecurity measures, considering the limited possibility of reducing the farms density, and plausibly the reassessment of the poultry sector organization to contain the risk of future epidemics.

Keywords: HPAI, Italy, epidemiological investigation, contact tracing","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6eea412a-de45-4da4-b7cc-2af72e88e174","Title":null,"FirstName":"Diletta","LastName":"Fornasiero","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Fornasiero D"},{"PresentationId":"6eea412a-de45-4da4-b7cc-2af72e88e174","Title":null,"FirstName":"Tiziano","LastName":"Dorotea","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Dorotea T"},{"PresentationId":"6eea412a-de45-4da4-b7cc-2af72e88e174","Title":null,"FirstName":"Bianca","LastName":"Zecchin","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Zecchin B"},{"PresentationId":"6eea412a-de45-4da4-b7cc-2af72e88e174","Title":null,"FirstName":"Alice","LastName":"Fusaro","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Fusaro A"},{"PresentationId":"6eea412a-de45-4da4-b7cc-2af72e88e174","Title":null,"FirstName":"Matteo","LastName":"Mazzucato","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Mazzucato M"},{"PresentationId":"6eea412a-de45-4da4-b7cc-2af72e88e174","Title":null,"FirstName":"Paolo","LastName":"Mulatti","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Mulatti P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6eea412a-de45-4da4-b7cc-2af72e88e174","Number":1,"Affiliation":"Veterinary Epidemiology, Istituto Zooprofilattico Sperimentale delle Venezie","City":"Legnaro","State":"Padova","Country":"Italy","AffiliationDisplay":"Veterinary Epidemiology, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro Padova, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6eea412a-de45-4da4-b7cc-2af72e88e174","Number":2,"Affiliation":"Research and Innovation, Istituto Zooprofilattico Sperimentale delle Venezie","City":"Legnaro","State":"Padova","Country":"Italy","AffiliationDisplay":"Research and Innovation, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro Padova, Italy"}],"AuthorsHtml":"Fornasiero D1, Dorotea T1, Zecchin B2, Fusaro A2, Mazzucato M1, Mulatti P1","AffiliationsHtml":"
1Veterinary Epidemiology, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro Padova, Italy
2Research and Innovation, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro Padova, Italy
"}],"DisplayName":"Diletta Fornasiero","TimeDisplay":null},{"ContactId":"ef44b75f-9c92-49df-9e99-2d1c11c751c6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Merete","LastName":"Forseth","Position":"Chief Veterinarian Animal Welfare","Organization":"Norsk Kylling AS","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Ascites and mortality in two broiler hybrids with different growth rates under commercial conditions","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"000e7006-a4de-44ac-9754-75b14228ffca","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.A - Production diseases","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"08e71526-edb6-4ccc-bb9e-07dfc307ffa5","Html":null,"PlainText":"In the EU, it is estimated that 2-5% of the broilers are slower-growing birds, and the proportion is increasing. Nevertheless, publications comparing important health and welfare indicators under commercial conditions are lacking. The objective of this study was therefore to compare the prevalence of ascites and mortality between the fast-growing Ross 308 and the slower growing Hubbard JA787.

In 2017-2018, the Norwegian broiler company, Norsk Kylling, made a transition from Ross 308 to Hubbard JA787. For all flocks slaughtered from 2015 to 2021, mortality counts were obtained from on-farm records. Ascites was recorded as one of 12 different carcass condemnation codes at the slaughterhouse. Descriptive statistics on mortality and ascites was calculated, and the effect of hybrid was assessed using mixed-effects negative binomial models with mortality and ascites as outcome variables.

The study sample consisted of 4523 flocks from 148 farms. The mortality and ascites prevalence were higher in Ross compared to Hubbard; IRR (95% CI): 2.18 (2.11-2.26) and 6.97 (6.72-7.23), respectively (preliminary results from the multilevel regression model). The variation in ascites prevalence between flocks was considerable (IQR 0.34-0.85%) for Ross 308 and minor for Hubbard JA787 (IQR 0.054-0.12%) (Fig 1).

This is the first large-scale study comparing health- and production data from fast-growing and slower-growing broilers under commercial conditions. Both prevalence of ascites and mortality was significantly higher in Ross than in Hubbard with potential consequences for animal welfare.

Keywords: Slower growing broilers, production related disorders, meat inspection, condemnation code, poultry welfare
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"08e71526-edb6-4ccc-bb9e-07dfc307ffa5","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1144f9b590e1454c9c9601b9f2f51bc5","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"08e71526-edb6-4ccc-bb9e-07dfc307ffa5","Title":"Mrs.","FirstName":"Merete","LastName":"Forseth","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Forseth M"},{"PresentationId":"08e71526-edb6-4ccc-bb9e-07dfc307ffa5","Title":"Professor","FirstName":"Randi","LastName":"Oppermann Moe","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Oppermann Moe R"},{"PresentationId":"08e71526-edb6-4ccc-bb9e-07dfc307ffa5","Title":"DVM","FirstName":"Käthe Elise","LastName":"Kittelsen","Position":"DVM - Poultry Health Service","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Kittelsen K"},{"PresentationId":"08e71526-edb6-4ccc-bb9e-07dfc307ffa5","Title":"Associate professor","FirstName":"Ingrid","LastName":"Toftaker","Position":"Associate professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Toftaker I"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"08e71526-edb6-4ccc-bb9e-07dfc307ffa5","Number":1,"Affiliation":"Norsk Kylling As","City":"Orkanger","State":"Norway","Country":"Norway","AffiliationDisplay":"Norsk Kylling As, Orkanger Norway, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"08e71526-edb6-4ccc-bb9e-07dfc307ffa5","Number":2,"Affiliation":"Norwegian University of Life Sciences","City":"Oslo","State":"Norway","Country":"Norway","AffiliationDisplay":"Norwegian University of Life Sciences, Oslo Norway, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"08e71526-edb6-4ccc-bb9e-07dfc307ffa5","Number":3,"Affiliation":"Animalia - Norwegian Meat and Poultry Research Centre","City":"Oslo","State":"Norway","Country":"Norway","AffiliationDisplay":"Animalia - Norwegian Meat and Poultry Research Centre, Oslo Norway, Norway"}],"AuthorsHtml":"Forseth M1, Oppermann Moe R2, Kittelsen K3, Toftaker I2","AffiliationsHtml":"
1Norsk Kylling As, Orkanger Norway, Norway
2Norwegian University of Life Sciences, Oslo Norway, Norway
3Animalia - Norwegian Meat and Poultry Research Centre, Oslo Norway, Norway
"}],"DisplayName":"Merete Forseth","TimeDisplay":null},{"ContactId":"15d1851f-0c91-43c6-8d2e-f2a3024c5226","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Geoff","LastName":"Fosgate","Position":"Professor","Organization":"University of Pretoria","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Preliminary validation of a single-spot solid-phase competition ELISA for the diagnosis of southern African territories 1 foot-and-mouth disease serotype exposure in goats","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3dd96aae-c056-47a7-845d-58850ffa093f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Html":null,"PlainText":"Objective
Perform a preliminary validation of a solid-phase competition ELISA (SPCE) in goats vaccinated and infected with foot-and-mouth disease virus (FMDV) southern African territories 1 (SAT1) serotype.

Materials and methods
Forty goats were vaccinated twice with a pentavalent FMDV vaccine and subsequently challenged with a SAT1 serotype virus. Blood was collected every seven days until termination at 14 days post-challenge. Both a single-spot and a half-titration SAT1 serotype FMD SPCE was performed in duplicate at two time points. Coefficient of variation (COV) and kappa were estimated as measures of repeatability and agreement, respectively. Accuracy of the single-spot SPCE was estimated relative to a SPCE log10 titer of 1.6 using mixed-effect logistic regression and receiver-operating characteristic (ROC) curves. Additionally, specificity and sensitivity were estimated based on serological results at study enrolment and 14-days post-challenge, respectively.

Results
Three hundred and forty-two serum samples were tested in duplicate on two non-consecutive days. The median (interquartile range (IQR)) COV for the single-spot SPCE was 2.1% (0.5, 14.3) and 2.5% (0.6, 12.8) for the two testing days. Median (IQR) inter-assay COV was 10.6% (2.5, 42.5). Kappa (95% CI) was 0.592 (0.516, 0.668) when evaluating agreement at the standard cut-off values. The single-spot SAT1 SPCE had an area under the ROC curve of 0.98 (0.97, 0.99) and a 70% percentage inhibition (PI) was the optimal cut-off. Specificity and sensitivity of the single-spot SPCE at the 70% PI cut-off were 83.4% (77.7, 87.9) and 95.8% (90.7, 98.2), respectively. Specificity was estimated as 100% (92.6, 100) and sensitivity as 97.3% (87.4, 99.9) when only considering serum tested at the beginning and end of the study, respectively.

Conclusion
The single-spot SAT1 FMDV SPCE is accurate for determining serological status in goats but a higher serum dilution or cut-off is recommended.

Key words: FMD, goats, serology, vaccination, validation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Title":"Prof.","FirstName":"Geoffrey","LastName":"Fosgate","Position":"Professor of Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Fosgate G"},{"PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Title":"Dr.","FirstName":"Moses","LastName":"Gobiye","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Gobiye M"},{"PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Title":"Dr.","FirstName":"Pamela","LastName":"Opperman","Position":null,"Affiliations":"3,5","IsPresenting":false,"SortOrder":3,"DisplayName":"Opperman P"},{"PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Title":"Dr.","FirstName":"David","LastName":"Lazarus","Position":"Senior Veterinary Researcher","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Lazarus D"},{"PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Title":"Ms.","FirstName":"LaTota","LastName":"Seoke","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Seoke L"},{"PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Title":"Dr.","FirstName":"Livio","LastName":"Heath","Position":"Research Team Manager: Vaccine Production","Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Heath L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Number":1,"Affiliation":"Department of Production Animal Studies, University Of Pretoria","City":"Onderstepoort","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Production Animal Studies, University Of Pretoria, Onderstepoort Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Number":2,"Affiliation":"Department of Veterinary Tropical Diseases, University of Pretoria","City":"Onderstepoort","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Veterinary Tropical Diseases, University of Pretoria, Onderstepoort Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Number":3,"Affiliation":"Transboundary Animal Diseases Programme, Onderstepoort Veterinary Research","City":"Onderstepoort","State":"Gauteng","Country":"South Adrica","AffiliationDisplay":"Transboundary Animal Diseases Programme, Onderstepoort Veterinary Research, Onderstepoort Gauteng, South Adrica"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Number":4,"Affiliation":"Epidemiology and Training Programme, Onderstepoort Veterinary Research","City":"Onderstepoort","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Epidemiology and Training Programme, Onderstepoort Veterinary Research, Onderstepoort Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"389a1f4d-8b37-4ba2-b136-d4a7edb40587","Number":5,"Affiliation":"Department of Production Animal Studies, University Of Pretoria, Vaccine and Diagnostic Development Programme, Onderstepoort Veterinary Research","City":"Onderstepoort","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Production Animal Studies, University Of Pretoria, Vaccine and Diagnostic Development Programme, Onderstepoort Veterinary Research, Onderstepoort Gauteng, South Africa"}],"AuthorsHtml":"Fosgate G1, Gobiye M2, Opperman P3,5, Lazarus D4, Seoke L1,3, Heath L3","AffiliationsHtml":"
1Department of Production Animal Studies, University Of Pretoria, Onderstepoort Gauteng, South Africa
2Department of Veterinary Tropical Diseases, University of Pretoria, Onderstepoort Gauteng, South Africa
3Transboundary Animal Diseases Programme, Onderstepoort Veterinary Research, Onderstepoort Gauteng, South Adrica
4Epidemiology and Training Programme, Onderstepoort Veterinary Research, Onderstepoort Gauteng, South Africa
5Department of Production Animal Studies, University Of Pretoria, Vaccine and Diagnostic Development Programme, Onderstepoort Veterinary Research, Onderstepoort Gauteng, South Africa
"}],"DisplayName":"Geoff Fosgate","TimeDisplay":null},{"ContactId":"83515ffd-9f80-4d4b-8cbb-40d5979ee017","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jake","LastName":"Fountain","Position":"Phd Candidate","Organization":"Charles Sturt University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jake-fountain-351531221","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jake-fountain-351531221","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jake-fountain-351531221","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/jake-fountain-351531221","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"One size does not fit all: Simulating the economic and non-economic impact of on-farm biosecurity for BVDV in Australian beef production. ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Html":null,"PlainText":"On-farm biosecurity plays a crucial role in the control of endemic disease and is Australia’s last line for defence against an exotic animal disease incursion. This study uses a recently published stochastic disease simulation model of bovine viral diarrhoea virus (BVDV) to examine the economic and non-economic value of 23 on-farm biosecurity combinations for the control of BVDV in Australian beef farms without (N0) and with (N1) a neighbouring population of PI animals.

BVDV introduction into a single-calving, self-replacing beef herd of 300 breeders was simulated through purchased bulls and neighbouring farms. The economic cost-benefit of each control measure was determined using annual gross margins collected over a 15-year period. The number of infected animals was also used to measure the impact on animal welfare, while the sale of persistently infected (PI) animals was used to represent the impact of biosecurity combinations further down the beef supply chain.

The model recorded a 15-year total cumulative loss of median AUD$172/breeder and AUD$453/breeder when BVDV was uncontrolled in an N0 and N1 herd, respectively. Quarantine of introduced cattle (N0) and quarantine + double-fencing farm boundaries with neighbouring cattle (N1) were the most cost-effective combinations while BVDV-free. Once BVDV was established in the herd, strategic PI exposure (N0) and quarantine + vaccination against BVDV (N1) were the most cost-effective combinations in the first five years of a BVDV outbreak. Vaccination (N0) and double fencing (N1) were responsible for the greatest reduction in infected animals and PI animals sold to other farms.

Maintaining a BVDV-free herd was found to be the most effective way to reduce the cost of disease and preserve the welfare of beef cattle in Australia. The ideal approach to BVDV prevention is dependent on introduction risk, as well as the priorities and values of the individual producer.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Title":"Dr.","FirstName":"Jake","LastName":"Fountain","Position":"Phd Candidate","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Fountain J"},{"PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Title":"Ms.","FirstName":"Victoria","LastName":"Brookes","Position":"Lecturer Evidence-based Practice","Affiliations":"1,5","IsPresenting":false,"SortOrder":2,"DisplayName":"Brookes V"},{"PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Title":"Mr.","FirstName":"Carsten","LastName":"Kirkeby","Position":"Senior Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Kirkeby C"},{"PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Title":"Dr.","FirstName":"Jennifer","LastName":"Manyweathers","Position":"Senior Lecturer In Epidemiology And Ruminant Health","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Manyweathers J"},{"PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Title":"Dr.","FirstName":"Yiheyis","LastName":"Maru","Position":"Principal Systems Research Scientist","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Maru Y"},{"PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Hernandez-Jover M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Number":1,"Affiliation":"School of Environmental, Agricultural and Veterinary Sciences, Charles Sturt University","City":"North Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Environmental, Agricultural and Veterinary Sciences, Charles Sturt University, North Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Number":2,"Affiliation":"Gulbali Institute, Charles Sturt University","City":"North Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"Gulbali Institute, Charles Sturt University, North Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Number":3,"Affiliation":"Institute of Veterinary and Animal Sciences, University of Copenhagen","City":"Frederiksberg C","State":"DK-1870","Country":"Denmark","AffiliationDisplay":"Institute of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C DK-1870, Denmark"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Number":4,"Affiliation":"Commonwealth Scientific and Industrial Research Organisation Land and Water","City":"Black Mountain","State":"ACT","Country":"Australia","AffiliationDisplay":"Commonwealth Scientific and Industrial Research Organisation Land and Water, Black Mountain ACT, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8d5bc572-5bc9-4fb8-940d-3192cdff0890","Number":5,"Affiliation":"Sydney School of Veterinary Science, The University of Sydney","City":"Camperdown","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, The University of Sydney, Camperdown NSW, Australia"}],"AuthorsHtml":"Fountain J1,2, Brookes V1,5, Kirkeby C3, Manyweathers J1, Maru Y4, Hernandez-Jover M1,2","AffiliationsHtml":"
1School of Environmental, Agricultural and Veterinary Sciences, Charles Sturt University, North Wagga NSW, Australia
2Gulbali Institute, Charles Sturt University, North Wagga NSW, Australia
3Institute of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C DK-1870, Denmark
4Commonwealth Scientific and Industrial Research Organisation Land and Water, Black Mountain ACT, Australia
5Sydney School of Veterinary Science, The University of Sydney, Camperdown NSW, Australia
"},{"Title":"The right strategy for you: Using the preferences of beef farmers to guide biosecurity recommendations for on-farm management of endemic disease. ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"691eb95b-8e83-4402-9e57-b3af198eba14","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Html":null,"PlainText":"In the face of limited resources, on-farm biosecurity must often compete with other farming practices for precedence. Farmers are likely to reject new knowledge or recommendations if they do not align with their personal values and farming priorities. In this study we describe a multi-criteria decision analysis (MCDA), grounded in prescriptive decision theory, with the aim to determine the most appropriate biosecurity combination for management of bovine viral diarrhoea virus (BVDV), based on the preferences of Australian beef farmers.

Quarantine, hygiene, double-fencing farm boundaries, vaccination against BVDV and strategic exposure to persistently infected animals were used to construct 23 biosecurity combinations to be assessed in the MCDA. Performance measurements for these combinations were obtained from a study that modelled the prevention of BVDV in self-replacing Australian beef farms. Seven quantifiable criteria were defined that describe the impact of biosecurity combinations on preventing disease introduction, on-farm outcomes (abortion, calf mortality, underweight sale animals), off-farm outcomes (infected animals sold) and the annual input cost of the combination. An online survey was used to collect the preferences of beef producers in Australia (the stakeholders) based on criteria performance, which were used to produce a weighted score for each biosecurity combination using point-of-truth calibration.

Double-fencing farm boundaries combined with vaccination against BVDV was the highest scoring biosecurity combination based on the preferences of all producers, despite the fact that it had one of the highest input costs. Overall, practices that only prevent introduction of BVDV into the herd scored higher than those that only prevent within-herd transmission.

This study demonstrates that economic cost is not the sole contributor to farmer decisions regarding implementation of on-farm biosecurity. The outcomes of the MCDA suggest that producer preferences favour prevention of disease introduction and the preservation of farm animal health.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Title":"Dr.","FirstName":"Jake","LastName":"Fountain","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Fountain J"},{"PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Title":"Dr","FirstName":"Victoria","LastName":"Brookes","Position":"Lecturer Evidence-based Practice","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Brookes V"},{"PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Title":"Dr","FirstName":"Jennifer","LastName":"Manyweathers","Position":" Lecturer in Ruminant Health and Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Manyweathers J"},{"PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Title":"Dr","FirstName":"Yiheyis","LastName":"Maru","Position":"Principal Systems Research Scientist","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Maru Y"},{"PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Title":"Ms","FirstName":"Lynne","LastName":"Hayes","Position":"Research Assistant","Affiliations":"1,2","IsPresenting":false,"SortOrder":5,"DisplayName":"Hayes L"},{"PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Title":"Professor","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Associate Head of School (Research) / Professor in Veterinary Epidemiology and Public Health","Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Hernandez-Jover M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Number":1,"Affiliation":"School of Environmental, Agricultural and Veterinary Sciences,Charles Sturt University","City":"North Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Environmental, Agricultural and Veterinary Sciences,Charles Sturt University, North Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Number":2,"Affiliation":"Gulbali Institute, Charles Sturt University","City":"North Wagga","State":"NSW ","Country":"Australia","AffiliationDisplay":"Gulbali Institute, Charles Sturt University, North Wagga NSW , Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Number":3,"Affiliation":"Sydney School of Veterinary Science, The University of Sydney","City":"Camperdown","State":"NSW ","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, The University of Sydney, Camperdown NSW , Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"397ac543-8b3b-4d9b-88a4-e9bb4686c4ab","Number":4,"Affiliation":"Commonwealth Scientific and Industrial Research Organisation Land and Water","City":"Black Mountain","State":"ACT","Country":"Australia","AffiliationDisplay":"Commonwealth Scientific and Industrial Research Organisation Land and Water, Black Mountain ACT, Australia"}],"AuthorsHtml":"Fountain J1,2, Brookes V3, Manyweathers J1, Maru Y4, Hayes L1,2, Hernandez-Jover M1,2","AffiliationsHtml":"
1School of Environmental, Agricultural and Veterinary Sciences,Charles Sturt University, North Wagga NSW, Australia
2Gulbali Institute, Charles Sturt University, North Wagga NSW , Australia
3Sydney School of Veterinary Science, The University of Sydney, Camperdown NSW , Australia
4Commonwealth Scientific and Industrial Research Organisation Land and Water, Black Mountain ACT, Australia
"}],"DisplayName":"Jake Fountain","TimeDisplay":null},{"ContactId":"cfe5ca03-486d-4cd1-b9ed-16638fc781be","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Organization":"The Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Guillaume Fournié is a veterinarian and an epidemiologist, currently based at the Royal Veterinary College (United Kingdom). With a strong interest in disease modelling and network analysis, Guillaume is exploring the way in which the configuration of livestock production systems shape the emergence, spread and maintenance of infectious diseases. He is experienced in conducting research at the interface between epidemiology and other disciplines, including virology, anthropology, economics, and archaeology. He has also a strong interest in the translation of science into policy.","Presentations":[{"Title":"The role of Social Network Analysis (SNA) as an evaluation tool in complex One Health partnership networks","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Html":null,"PlainText":"KEYWORDS

One Health; Social Network Analysis; partnerships

OBJECTIVES

The One Health Poultry Hub (OHPH) is a partnership network of approximately 120 researchers from 27 institutions in 10 countries. It addresses complex issues of poultry intensification and public health, with a geographic focus on Bangladesh, India, Sri Lanka and Vietnam.

Social network analysis (SNA) was applied as an evaluation tool to investigate structural dimensions of collaborations between OHPH participants, as well as dynamic changes in the network across countries and research areas.

MATERIALS AND METHODS

SNA was performed using data from two online surveys, conducted a year apart. All OHPH participants were invited to respond. The surveys covered three periods: P0 (before March 2019), P1 (March 2019 – February 2020) and P2 (March 2020 – February 2021). In addition to individual connections, respondents specified their scientific discipline, primary role, gender, and age category.

RESULTS

The networks for all periods showed a high small-world index. Network connectedness increased during P1, in a distributed manner. However, during P2, connectedness decreased, and the network became more centralised; although connections between the UK and study countries increased, connections between study countries declined. Connectedness was higher for social scientists, mid and late career stage, and male partners.

CONCLUSIONS

During P1, face-to-face meetings enabled partners from all disciplines and countries to interact directly. This facilitated an increase in network connectedness and reduction in centralisation. P2 corresponded with onset of the Covid-19 pandemic. All communication activities were migrated to online platforms. Factors affecting participation included internet access and bandwidth; language challenges; and inhibitions due to perceived status or hierarchy (e.g. early career researchers).

In large partnership networks, an understanding of the relationships between partners is essential to shape activities plus engagement and impact strategies. SNA enabled us to evaluate these relationships, and how these evolve over time.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Title":"Dr.","FirstName":"Daan","LastName":"Vink","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Vink D"},{"PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Title":"Ms.","FirstName":"Barbara","LastName":"Haesler","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Haesler B"},{"PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Title":"Dr.","FirstName":"Marisa","LastName":"Peyre","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Peyre M"},{"PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Title":"Dr.","FirstName":"Fiona","LastName":"Tomley","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Tomley F"},{"PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Title":"Dr.","FirstName":"Marina","LastName":"Apgar","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Apgar M"},{"PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Fournie G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Number":1,"Affiliation":"Royal Veterinary College","City":"London","State":"England","Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, London England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Number":2,"Affiliation":"CIRAD (French Agricultural Research Centre for International Development)","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"CIRAD (French Agricultural Research Centre for International Development), Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"084f0c28-f1d2-4ea6-af5e-089db38f9ec6","Number":3,"Affiliation":"Institute of Development Studies","City":"Brighton","State":"Sussex","Country":"united Kingdom","AffiliationDisplay":"Institute of Development Studies, Brighton Sussex, united Kingdom"}],"AuthorsHtml":"Vink D1, Haesler B1, Peyre M2, Tomley F1, Apgar M3, Fournie G1","AffiliationsHtml":"
1Royal Veterinary College, London England, United Kingdom
2CIRAD (French Agricultural Research Centre for International Development), Montpellier, France
3Institute of Development Studies, Brighton Sussex, united Kingdom
"},{"Title":"Epidemix – an online tool to make modelling more accessible","Bio":"Guillaume Fournié is a veterinarian and an epidemiologist, currently based at the Royal Veterinary College (United Kingdom). With a strong interest in disease modelling and network analysis, Guillaume is exploring the way in which the configuration of livestock production systems shape the emergence, spread and maintenance of infectious diseases. He is experienced in conducting research at the interface between epidemiology and other disciplines, including virology, anthropology, economics, and archaeology. He has also a strong interest in the translation of science into policy.","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"a2e9d146-090f-4806-9173-28a92bbc0dfd","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"11_Special Session: Animal Disease Spread Modelling","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"7e084307-ec12-43da-ae69-fe1f4a770189","Html":null,"PlainText":"Objective(s): The objective of this work was to develop an open-access teaching tool allowing users without specialist mathematical or software knowledge to learn about key concepts of infectious disease dynamics.

Materials and methods: The tool was developed to be available via the internet with a standard browser software, and to be used with any operating system, including Android, Apple IOS, Windows.

Results: Epidemix provides a visual interface for a suite of eight generic and three disease-specific models. The former allow user to explore different types of models while the later provide insight into specific features of diseases of global importance, namely African Swine Fever, avian influenza and COVID-19. Users can develop an understanding of the impact of various modelling assumptions – especially mixing patterns – on the trajectory of an epidemic and the impact of control interventions, without having to directly deal with the complexity of mathematical equations and programming languages. Models are compartmental or individual-based, deterministic or stochastic, and assume homogeneous or heterogeneous-mixing patterns (with the probability of transmission depending on the underlying structure of contact networks, or the spatial distribution of hosts). The step-by-step specification of model structure and parameters do not necessitate learning how to use the application or the reading of a user manual. Outputs are visualized as line charts, data matrices, network diagrams and tables, all of which can be exported in pdf and/or csv file format.

Conclusions: The easy-to-use interactive interface of Epidemix allows users to compare assumptions, parameters, and differences between outputs based on different assumptions. Such tools can greatly support the teaching of mathematical modelling to non-specialists – including policy makers, public and animal health professionals, students – by demonstrating key concepts of disease dynamics and control in a hands-on and accessible way.

Keywords: Application software; Infectious disease dynamics; Mathematical modelling; Teaching","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7e084307-ec12-43da-ae69-fe1f4a770189","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Fournie G"},{"PresentationId":"7e084307-ec12-43da-ae69-fe1f4a770189","Title":"Dr.","FirstName":"Uli","LastName":"Muellner","Position":"Director","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Muellner U"},{"PresentationId":"7e084307-ec12-43da-ae69-fe1f4a770189","Title":null,"FirstName":"Liang","LastName":"Yang","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Yang L"},{"PresentationId":"7e084307-ec12-43da-ae69-fe1f4a770189","Title":"Dr","FirstName":"Petra","LastName":"Muellner","Position":"Director","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Muellner P"},{"PresentationId":"7e084307-ec12-43da-ae69-fe1f4a770189","Title":"Prof","FirstName":"Dirk","LastName":"Pfeiffer","Position":"Chair Professor","Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Pfeiffer D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e084307-ec12-43da-ae69-fe1f4a770189","Number":1,"Affiliation":"The Royal Veterinary College","City":"Hatfield","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"The Royal Veterinary College, Hatfield Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e084307-ec12-43da-ae69-fe1f4a770189","Number":2,"Affiliation":"Epi-Interactive","City":"Miramar","State":"Wellington","Country":"New Zealand","AffiliationDisplay":"Epi-Interactive, Miramar Wellington, New Zealand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e084307-ec12-43da-ae69-fe1f4a770189","Number":3,"Affiliation":"City University of Hong Kong","City":"Kowloon Tong","State":"Hong Kong","Country":"China","AffiliationDisplay":"City University of Hong Kong, Kowloon Tong Hong Kong, China"}],"AuthorsHtml":"Fournie G1, Muellner U2, Yang L2, Muellner P2, Pfeiffer D1,3","AffiliationsHtml":"
1The Royal Veterinary College, Hatfield Hertfordshire, United Kingdom
2Epi-Interactive, Miramar Wellington, New Zealand
3City University of Hong Kong, Kowloon Tong Hong Kong, China
"}],"DisplayName":"Guillaume Fournie","TimeDisplay":null},{"ContactId":"cc1bfdbf-6553-40ff-a9cc-7a1fff376d33","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tara","LastName":"Funk","Position":null,"Organization":"Western College of Veterinary Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Use of recombinase polymerase amplification to detect bacterial pathogens important in bovine respiratory disease","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Html":null,"PlainText":"Objective
This study employed recombinase polymerase amplification (RPA), an isothermal experimental technique, to determine its ability, compared to bacterial culture, to accurately detect the bacterial pathogens, mobile genetic elements and antimicrobial resistance genes associated with bovine respiratory disease (BRD) in calves on arrival at a feedlot.

Materials and Methods
Deep nasopharyngeal swab samples were obtained from one hundred auction-derived calves on arrival at a feedlot. Each sample was cultured for four main bacterial BRD pathogens – Mannheimia haemolytica, Pasteurella multocida, Histophilus somni and Mycoplasma bovis. DNA was extracted from an additional aliquot.

RPA assays were validated using TwistDx kits and converted to real-time florescence analysis. Targets for testing included the four bacteria, integrative conjugative elements (tnpA, ebrB) and key macrolide antimicrobial resistance genes (msrE, mphE, erm42). Reactions occurred at 37°C for 33 minutes. Positive amplification was determined when fluorescence measured over 200 mV for 60 seconds.

Results
A total of 154 isolates were recovered using bacterial culture – M. haemolytica (30), P. multocida (66), H. somni (25), M. bovis (33). One M. haemolytica and two P. multocida isolates showed varied resistance profiles, and the Pasteurella isolates were resistant to ≥ three antimicrobial classes (multidrug resistance). RPA testing is underway and will be completed prior to the ISVEE conference.

Conclusion
Antimicrobial drugs are a first-line defense against BRD, but rising bacterial resistance emphasizes the need for rapid and reliable diagnostic tests that are practical in commercial feedlots. RPA is a molecular diagnostic tool that requires little specialized equipment, making it an attractive alternative to traditional methods.

This study provides a unique insight into the ability of RPA to identify bacterial agents and their resistance determinants in a vulnerable population upon arrival at a feedlot, providing novel and useful information to inform prudent antimicrobial use.

Keywords: RPA, bovine respiratory disease, bacteria","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Title":"Dr.","FirstName":"Tara","LastName":"Funk","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Funk T"},{"PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Title":"Dr.","FirstName":"Sara","LastName":"Andrés-Lasheras","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Andrés-Lasheras S"},{"PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Title":null,"FirstName":"Cheyenne","LastName":"Conrad","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Conrad C"},{"PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Title":"Dr.","FirstName":"Rahat","LastName":"Zaheer","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Zaheer R"},{"PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Title":"Dr.","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Waldner C"},{"PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Title":"Dr.","FirstName":"Tim","LastName":"McAllister","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"McAllister T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Number":1,"Affiliation":"Department of Veterinary Pathology, Western College of Veterinary Medicine","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Department of Veterinary Pathology, Western College of Veterinary Medicine, Saskatoon SK, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Number":2,"Affiliation":"Lethbridge Research and Development Centre, Agriculture and Agri-food Canada","City":"Lethbridge","State":"AB","Country":"Canada","AffiliationDisplay":"Lethbridge Research and Development Centre, Agriculture and Agri-food Canada, Lethbridge AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"37b9a15c-0976-4411-a357-46adb0e4c9d3","Number":3,"Affiliation":"Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon SK, Canada"}],"AuthorsHtml":"Funk T1, Andrés-Lasheras S2, Conrad C2, Zaheer R2, Waldner C3, McAllister T2","AffiliationsHtml":"
1Department of Veterinary Pathology, Western College of Veterinary Medicine, Saskatoon SK, Canada
2Lethbridge Research and Development Centre, Agriculture and Agri-food Canada, Lethbridge AB, Canada
3Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon SK, Canada
"}],"DisplayName":"Tara Funk","TimeDisplay":null},{"ContactId":"3ce4586d-d52f-406b-b876-04729de69221","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Francesco","LastName":"Galli","Position":"PhD student","Organization":"Veterinary Public Health Institute - University Of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Epidemiological simulation model for the swine sector of Switzerland: application to African Swine Fever surveillance evaluation","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4494347e-0d84-4bd8-b95a-2822b218f248","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"769aa9de-4bff-476b-b65a-4a76a7574ac7","Html":null,"PlainText":"Objectives
Our objective is to develop an evaluation tool for surveillance strategies for swine diseases in Switzerland including African swine fever (ASF), porcine reproductive and respiratory syndrome and enzootic pneumonia. Given the rich data environment of the Swiss swine production sector, we aim to represent existing and prospective surveillance strategies in extensive detail.

Materials and methods
We build a model of disease transmission in the Swiss pig sector that leverages comprehensive or extensive datasets on transportation, veterinarian visits, spatial diffusion and other processes relevant for pig disease transmission. These rich data allow to represent nearly all farms and slaughterhouses involved in pig production between 2014 and 2020. A dataset of estimated wild boar abundance is used to incorporate this key epidemiological reservoir for pathogens.
The model defines farms, slaughterhouses and wildboar units as epidemiological units in which stages of the disease are tracked in homogenous compartments. Pig population data estimated from official farm records allows us to track population variations and account for density dependence of infection. Where data is not comprehensive, we use machine learning prediction tasks to extrapolate transmission pathways to the full pig population.

Results
We provide quantitative performance measures including the mean and variance of outbreak sizes at first detection for diseases. As such, we can compare the effectiveness of various surveillance strategies.
We perform extensive sensitivity analysis taking into account the number of compartments, and the extent of stochasticity in sampling animals for transport, infection and testing.

Conclusion
We argue that simulation models tailored to increasingly richer data environments offer useful guidance for surveillance policy evaluation, especially for emerging diseases such as ASF. The value of such modeling efforts hinges however on a transparent and accessible presentation of assumptions and data uses, as richer data and models can easily be perceived as black boxes.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"769aa9de-4bff-476b-b65a-4a76a7574ac7","Title":"Dr.","FirstName":"Antoine","LastName":"Champetier","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Champetier A"},{"PresentationId":"769aa9de-4bff-476b-b65a-4a76a7574ac7","Title":"Mr.","FirstName":"Francesco","LastName":"Galli","Position":"Phd student","Affiliations":null,"IsPresenting":true,"SortOrder":2,"DisplayName":"Galli F"},{"PresentationId":"769aa9de-4bff-476b-b65a-4a76a7574ac7","Title":null,"FirstName":"Friker","LastName":"Brian","Position":"Resident","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Brian F"},{"PresentationId":"769aa9de-4bff-476b-b65a-4a76a7574ac7","Title":"Ms.","FirstName":"Kathleen","LastName":"Moriarty","Position":"Master student","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Moriarty K"},{"PresentationId":"769aa9de-4bff-476b-b65a-4a76a7574ac7","Title":"Dr.","FirstName":"Vitaly","LastName":"Belik","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Belik V"},{"PresentationId":"769aa9de-4bff-476b-b65a-4a76a7574ac7","Title":"Prof.","FirstName":"Salome","LastName":"Duerr","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Duerr S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"769aa9de-4bff-476b-b65a-4a76a7574ac7","Number":1,"Affiliation":"Veterinary Public Health Institute Bern","City":"Liebefeld","State":"Bern","Country":"Switzerland","AffiliationDisplay":"Veterinary Public Health Institute Bern, Liebefeld Bern, Switzerland"}],"AuthorsHtml":"Champetier A1, Galli F, Brian F, Moriarty K, Belik V, Duerr S","AffiliationsHtml":"
1Veterinary Public Health Institute Bern, Liebefeld Bern, Switzerland
"},{"Title":"A machine learning framework to predict direct and indirect between-farm contacts during pig transport tours","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Html":null,"PlainText":"Objectives
We aimed to i) develop a methodological framework to predict which pig transports, and in which sequence, happen within the same lorry tour, and ii) define all types of direct and indirect contacts relevant for porcine disease spread that are generated by such tours.

Methods
We trained a gradient-boosted trees model by using lorry tour data from the two largest Swiss pig traders. For all pairs of transports, we predicted the probability of them belonging to the same lorry tour by using transports’ features, such as between-farm distances, types of transport (between-farm versus farm-to-slaughterhouse) and trader affiliation. We then clustered paired transports into tours based on these probabilities. Jaccard index was used to assess the accuracy of our predictions. The sequence of transports within a tour was defined deterministically when logic rules allowed for it, while traveling salesman-like algorithms were applied to the remaining tours to predict the most probable sequence.

Results
We obtained a Jaccard index of 0.71, indicating a good overlap between predicted and observed tours. After the prediction algorithms were applied to the Swiss national animal movement database, four types of trade-related between-farm contacts were defined as possible porcine infectious disease spread routes: i) direct introduction of pigs from farm A to farm B, ii) within-lorry direct contact between pigs from different farms, iii) within-lorry indirect contact between pigs via fomites, and iv) between-farm indirect contact via lorry tires.

Conclusion
We discuss which additional features and prediction methodology could improve the accuracy of prediction. The moderate accuracy may also suggest that the execution of lorry tours can be exposed to unforeseeable changes and does not always follow predictable patterns. Given their importance for defining between-farm contacts, lorry tour data should be systematically recorded into a national database.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Title":"Mr.","FirstName":"Francesco","LastName":"Galli","Position":"PhD student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Galli F"},{"PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Title":"Ms.","FirstName":"Saskia","LastName":"Perret-\u0010Gentil","Position":"Research assistant","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Perret-\u0010Gentil S"},{"PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Title":"Dr.","FirstName":"Antoine","LastName":"Champetier","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Champetier A"},{"PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Title":"Ms.","FirstName":"Kathleen","LastName":"Moriarty","Position":"Master student","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Moriarty K"},{"PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Title":"Miss","FirstName":"Laura","LastName":"Cunha Silva","Position":"Ecvph Resident","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Cunha Silva L"},{"PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Title":"Dr.","FirstName":"Hartmut","LastName":"Lentz","Position":"Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Lentz H"},{"PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Title":"Dr.","FirstName":"Vitaly","LastName":"Belik","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":7,"DisplayName":"Belik V"},{"PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Title":"Dr.","FirstName":"Salome","LastName":"Dürr","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Dürr S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Number":1,"Affiliation":"Veterinary Public Health Institute - University Of Bern","City":"Liebefeld","State":"Be","Country":"Switzerland","AffiliationDisplay":"Veterinary Public Health Institute - University Of Bern, Liebefeld Be, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Number":2,"Affiliation":"Swiss Tropical and Public Health Institute - University of Basel","City":"Basel","State":"BS","Country":"Switzerland","AffiliationDisplay":"Swiss Tropical and Public Health Institute - University of Basel, Basel BS, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Number":3,"Affiliation":"Institute of Epidemiology - Friedrich-Loeffler-Institut","City":"Greifswald","State":null,"Country":"Germany","AffiliationDisplay":"Institute of Epidemiology - Friedrich-Loeffler-Institut, Greifswald, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b615af26-5eeb-42be-b781-b6bfc504218e","Number":4,"Affiliation":"Institute of Veterinary Epidemiology and Biostatistics - Freie Universität Berlin","City":"Berlin","State":null,"Country":"Germany","AffiliationDisplay":"Institute of Veterinary Epidemiology and Biostatistics - Freie Universität Berlin, Berlin, Germany"}],"AuthorsHtml":"Galli F1, Perret-\u0010Gentil S1, Champetier A1, Moriarty K2, Cunha Silva L1, Lentz H3, Belik V4, Dürr S1","AffiliationsHtml":"
1Veterinary Public Health Institute - University Of Bern, Liebefeld Be, Switzerland
2Swiss Tropical and Public Health Institute - University of Basel, Basel BS, Switzerland
3Institute of Epidemiology - Friedrich-Loeffler-Institut, Greifswald, Germany
4Institute of Veterinary Epidemiology and Biostatistics - Freie Universität Berlin, Berlin, Germany
"}],"DisplayName":"Francesco Galli","TimeDisplay":null},{"ContactId":"3c996b87-f888-41fc-b3d0-90ff21065ef2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jason","LastName":"Galvis","Position":"Postdoctoral Researcher","Organization":"North Carolina State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Descriptive analysis and mathematical modeling of multiple modes of transmission for respiratory syndrome virus dissemination dynamics in the United States","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7e30a9c-236f-4ba3-b0a6-7c7cd4fd235d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.D - Infectious Disease Modeling","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"5adc6e12-b992-4c6c-bb0d-6fcfa43640fd","Html":null,"PlainText":"Porcine reproductive and respiratory syndrome virus (PRRSV) dissemination process remains larger unknown. Here we developed and calibrated a mathematical model for transmission of PRRSV, tailored to fit nine modes of between-farm transmission pathways including: farm-to-farm proximity, contact network of batches of pigs transferred between farms, four different contact networks of transportation vehicles (vehicles to transport pigs to farms, pigs to markets, feed and crew), the amount of animal by-products within feed ingredients (e.g. animal fat), and we also accounted for re-break probabilities for farms with previous PRRSV outbreaks. The model was calibrated on weekly PRRSV outbreaks data. We assessed the role of each transmission pathway considering the dynamics of specific types of production (i.e., sow farm, nursery). Our results estimated that the networks formed by transportation vehicles were more densely connected than the network of pigs transported between-farms. The model estimated that pig movements and farm proximity were the main PRRSV transmission routes regardless of farm types, but vehicles transporting pigs to farms explained a large proportion of infections, sow = 20.9%; nursery = 15%; and finisher = 20.6%. Our model results showed that the contribution of fat and meat and bone was 2.5% and 0.03%, respectively, of the infected sow farms. Our work provides strong evidence to support the need for cautious, measured PRRSV control strategies for transportation vehicles and to some degree feed by-products. In addition to providing valuable information and opportunities for the swine industry to focus effort on the most relevant modes of PRRSV between-farm transmission.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"5adc6e12-b992-4c6c-bb0d-6fcfa43640fd","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/224b6431e05c4dffa3c4d49f18ef944d","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"5adc6e12-b992-4c6c-bb0d-6fcfa43640fd","Title":"Dr.","FirstName":"Jason","LastName":"Galvis","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Galvis J"},{"PresentationId":"5adc6e12-b992-4c6c-bb0d-6fcfa43640fd","Title":"Dr.","FirstName":"Cesar A.","LastName":"Corzo","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Corzo C"},{"PresentationId":"5adc6e12-b992-4c6c-bb0d-6fcfa43640fd","Title":"Dr.","FirstName":"Gustavo","LastName":"Machado","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Machado G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5adc6e12-b992-4c6c-bb0d-6fcfa43640fd","Number":1,"Affiliation":"Department of Population Health and Pathobiology, North Carolina State University","City":"Raleigh","State":"NC","Country":"USA","AffiliationDisplay":"Department of Population Health and Pathobiology, North Carolina State University, Raleigh NC, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5adc6e12-b992-4c6c-bb0d-6fcfa43640fd","Number":2,"Affiliation":"Veterinary Population Medicine Department, University of Minnesota","City":"St Paul","State":"MN","Country":"USA","AffiliationDisplay":"Veterinary Population Medicine Department, University of Minnesota, St Paul MN, USA"}],"AuthorsHtml":"Galvis J1, Corzo C2, Machado G1","AffiliationsHtml":"
1Department of Population Health and Pathobiology, North Carolina State University, Raleigh NC, USA
2Veterinary Population Medicine Department, University of Minnesota, St Paul MN, USA
"}],"DisplayName":"Jason Galvis","TimeDisplay":null},{"ContactId":"3a0bfbc2-ff84-4d2d-adb7-1dca593a214e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Radhika K.","LastName":"Gandhi","Position":"","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e12c4b79f2924c40b088e011fb738cf4","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Pedagogical approaches that best prepare graduates to address climate change and other urgent health threats","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"67821b84-b1e4-4abc-8685-3561e98a144c","Html":null,"PlainText":"The climate crisis is a worldwide phenomenon that continues to pose considerable health risks, including food insecurity, habitat displacement, and increased disease transmission. A One Health approach provides a transdisciplinary, systems-based foundation for addressing complex or \"wicked\" topics, such as the climate crisis. Specific knowledge, skills, and attributes deemed as “core competencies” have been outlined for One Health to foster the development of One Health practitioners. There is now a need to identify pedagogical approaches that will aid One Health students to develop these core competencies.

This project aims to identify pedagogical approaches that are currently used to help students understand and address complex challenges.

A scoping review, restricted to primary research or conference proceedings from North America, is being conducted to identify these approaches. The search criteria were limited to articles published after 2009 with full-texts available in English. Search engines used include the Educational Resources Information Center, Web of Science, Sociological Abstracts, MEDLINE, and CAB. The search results were uploaded onto DistillerSR®, where two reviewers are independently screening all articles. Articles will undergo two stages of screening (Stage one includes title and abstract screening; Stage two includes full-text screening), followed by data extraction.

Preliminary results reveal that the use of role-playing and action learning are promising pedagogical strategies that can help students grasp complex challenges. Additional results will be presented at the conference.

This research will help identify teaching and learning approaches that have been successful in preparing students to work across different disciplines and address complex challenges. The findings will inform the creation of sustainable pedagogical frameworks that will enhance climate change education and form the basis of formal One Health education.

Key words: One Health; Climate change; Transdisciplinary approach; Pedagogy; Higher education ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"67821b84-b1e4-4abc-8685-3561e98a144c","Title":"Miss","FirstName":"Radhika K.","LastName":"Gandhi","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gandhi R"},{"PresentationId":"67821b84-b1e4-4abc-8685-3561e98a144c","Title":"Dr.","FirstName":"Katie","LastName":"Clow","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Clow K"},{"PresentationId":"67821b84-b1e4-4abc-8685-3561e98a144c","Title":"Dr","FirstName":"Elizabeth Jane","LastName":"Parmley","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Parmley E"},{"PresentationId":"67821b84-b1e4-4abc-8685-3561e98a144c","Title":"Dr.","FirstName":"Jennifer","LastName":"Reniers","Position":"Educational Developer / Advisory committee member","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Reniers J"},{"PresentationId":"67821b84-b1e4-4abc-8685-3561e98a144c","Title":"Dr.","FirstName":"Francisco","LastName":"Olea-Popelka","Position":"Associate Professor / Advisory committee member","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Olea-Popelka F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"67821b84-b1e4-4abc-8685-3561e98a144c","Number":1,"Affiliation":"University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"67821b84-b1e4-4abc-8685-3561e98a144c","Number":2,"Affiliation":"University of Western Ontario","City":"London","State":"Ontario","Country":"Canada","AffiliationDisplay":"University of Western Ontario, London Ontario, Canada"}],"AuthorsHtml":"Gandhi R1, Clow K1, Parmley E1, Reniers J1, Olea-Popelka F2","AffiliationsHtml":"
1University of Guelph, Guelph Ontario, Canada
2University of Western Ontario, London Ontario, Canada
"}],"DisplayName":"Radhika K. Gandhi","TimeDisplay":null},{"ContactId":"2025ebd9-db7a-4fad-930c-ff6b4140d5f8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Pankaj","LastName":"Gaonkar","Position":null,"Organization":"Auburn University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ea771e7c8f58429f9689edb32ca0a845","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Time trends in antimicrobial use and minimum inhibitory concentrations for foodborne pathogens in food animal production","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ee7bf69a-807a-4747-bfd0-c8eaf9f3309c","Html":null,"PlainText":"Objective: Antimicrobial resistance (AMR) is a major concern for “One Health”. Injudicious use of antimicrobials contributed to the spread of multidrug-resistant bacteria. The antimicrobial use (AMU) in food animals is projected to increase over time. Thus, it is important to monitor the AMU and their impact on the efficacy of antimicrobials. The objectives of this study were to determine (i) AMU over time in pigs, chickens, and turkey production in Canada and (ii) to examine the utility of minimum inhibitory concentration (MIC) data to characterize temporal trends in AMR to commonly used antibiotics in Salmonella spp., Campylobacter spp., and E. coli in pigs, chickens, and turkey production.

Materials & Methods: Farm-level data were collected by the Canadian Integrated Program for Antimicrobial Resistance. AMU data were collected via questionnaires and AMR was determined using broth microdilution applying the CLSI breakpoint guidelines. This study presents time trends in AMU and AMR from 2006 to 2020. Further statistical analysis will be performed to determine the effect of AMU and management factors on MIC values over time. Results will be presented in the conference.

Results: AMU in pigs, chickens, and turkeys has decreased over the last decade, except that bacitracin use has increased since 2018 in chickens. MICs have either decreased or maintained constant for most antimicrobial classes, except that Salmonella spp. and Campylobacter spp. isolated from chicken farms have increased MIC over time to tetracycline and nalidixic acid, respectively.

Conclusion: Reduction in AMU in production animals mitigates AMR in important pathogens for human and animal health. Further analysis are needed to determine the factors contributing to the changes in MIC values to certain antimicrobials. Continued monitoring of AMU and AMR is necessary to evaluate the effect of measures to reduce antimicrobial use on food production and safety.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ee7bf69a-807a-4747-bfd0-c8eaf9f3309c","Title":"Mr.","FirstName":"Pankaj","LastName":"Gaonkar","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gaonkar P"},{"PresentationId":"ee7bf69a-807a-4747-bfd0-c8eaf9f3309c","Title":"Dr","FirstName":"Agnes","LastName":"Agunos","Position":"Veterinary Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Agunos A"},{"PresentationId":"ee7bf69a-807a-4747-bfd0-c8eaf9f3309c","Title":"Dr","FirstName":"Carolee","LastName":"Carson","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Carson C"},{"PresentationId":"ee7bf69a-807a-4747-bfd0-c8eaf9f3309c","Title":"Dr","FirstName":"Sheryl","LastName":"Gow","Position":"Veterinary Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Gow S"},{"PresentationId":"ee7bf69a-807a-4747-bfd0-c8eaf9f3309c","Title":"Miss","FirstName":"Laura","LastName":"Huber","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Huber L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ee7bf69a-807a-4747-bfd0-c8eaf9f3309c","Number":1,"Affiliation":"Department of Pathobiology, College of Veterinary Medicine, Auburn University","City":"Auburn","State":"AL","Country":"USA","AffiliationDisplay":"Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn AL, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ee7bf69a-807a-4747-bfd0-c8eaf9f3309c","Number":2,"Affiliation":"Public Health Agency of Canada","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ee7bf69a-807a-4747-bfd0-c8eaf9f3309c","Number":3,"Affiliation":"Public Health Agency of Canada","City":"Saskatoon","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Saskatoon Saskatchewan, Canada"}],"AuthorsHtml":"Gaonkar P1, Agunos A2, Carson C2, Gow S3, Huber L1","AffiliationsHtml":"
1Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn AL, USA
2Public Health Agency of Canada, Guelph Ontario, Canada
3Public Health Agency of Canada, Saskatoon Saskatchewan, Canada
"}],"DisplayName":"Pankaj Gaonkar","TimeDisplay":null},{"ContactId":"e3b3bbee-cd72-4cd2-af38-b54eb8d57794","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Megan","LastName":"Gardner","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Investigating the efficacy of Ovipast Plus® vaccine in reducing mortality and pneumonia-associated mortality in pre-weaned lambs","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5fc8f0ee-6ba0-4999-aa0c-c2e9b7531152","Html":null,"PlainText":"Objective:

To assess the efficacy of the Ovipast Plus® bacterin to reduce mortality and pneumonia-associated mortality in pre-weaned lambs via passive immunity by vaccinating ewes twice during pregnancy compared to lambs born to a non-vaccinated comparable group of ewes

Materials and methods:

This study was conducted on one farm of ~ 9600 ewes using a 2-arm, parallel randomized control trial study design. Sample size was determined to be 3333 ewes in each intervention group. This number is based on needing 5295 lambs in each group to detect a reduction in overall mortality from 4% to 3% (type I error of 5%, power of 20%) with each ewe weaning ~1.7 lambs.

Ewes were enrolled weekly (~260-300), systematically randomized, and received either the Ovipast Plus® bacterin (Merck) or the negative control at approximately 6 and 2 weeks before their lambing dates. After their second booster, the ewes were housed according to vaccine status. The barn staff were blinded to the intervention and provided lamb health checks and treatments. The main researcher (MG) administered the vaccine and conducted the postmortems on-farm.

To assess vaccine effect, pen-level mortality and pneumonia-associated mortality will be analyzed using logistical regression with pen as a random effect. Average daily gain at weaning, will be investigated as a secondary outcome using mixed model linear regression.

Results:

To date, a total of 2764 ewes have been enrolled into the trial and a total of 1220 lambs have been born with an overall mortality rate of 5%. The leading cause of death are starvation and scours respectively. The last lamb on the trial will be weaned in April of 2022.

Conclusion:

Final results and conclusions to be available in July, 2022.

Key words: lamb, pneumonia, vaccine, feedlot, mortality
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5fc8f0ee-6ba0-4999-aa0c-c2e9b7531152","Title":"Miss","FirstName":"Megan","LastName":"Gardner","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gardner M"},{"PresentationId":"5fc8f0ee-6ba0-4999-aa0c-c2e9b7531152","Title":"Dr.","FirstName":"Cath","LastName":"Bauman","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Bauman C"},{"PresentationId":"5fc8f0ee-6ba0-4999-aa0c-c2e9b7531152","Title":"Dr","FirstName":"Joyce","LastName":"Van Donkersgoed","Position":"Adjunct Faculty","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Van Donkersgoed J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5fc8f0ee-6ba0-4999-aa0c-c2e9b7531152","Number":1,"Affiliation":"Population Medicine, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Population Medicine, University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Gardner M1, Bauman C1, Van Donkersgoed J1","AffiliationsHtml":"
1Population Medicine, University Of Guelph, Guelph ON, Canada
"}],"DisplayName":"Megan Gardner","TimeDisplay":null},{"ContactId":"28021baf-f57e-4f28-b99f-06f50b139df5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Maria","LastName":"Garza","Position":"Phd Student","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ab4d206437ea4845a3186022eebfdfd3","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A systems approach to understand drivers of AMU and AMR in aquaculture systems in Northern Vietnam","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"ed4700f7-6271-44a5-b203-964660bc4356","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"2_Special Session Part 1: Systems Approaches to Promote Better Health for Animals, People and Ecosystems","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[],"Authors":[{"PresentationId":"05e02dbc-a543-4461-a193-70fc0636ce29","Title":"Ms.","FirstName":"Maria","LastName":"Garza","Position":"Phd Student","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Garza M"}],"Affiliations":[],"AuthorsHtml":"Garza M","AffiliationsHtml":""},{"Title":"Application of systems thinking to understand AMR dynamics and opportunities for interventions in freshwater aquaculture systems in northern Vietnam","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"81b6468d-38a2-4f06-ba00-ba54f34eef5e","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Html":null,"PlainText":"KEYWORDS: Aquaculture, systems thinking, food systems, AMR
OBJECTIVES: To investigate the multidimensional impacts and causal links of AMR drivers and interventions in freshwater aquaculture systems in Northern Vietnam.
METHODS: Study sites: Two provinces of northern Vietnam, which are key fish production areas undergoing transformations. Approach: First, a conceptual causal-loop diagram was developed based on a desk review of available literature and key informant interviews. Next, a question guide was developed to enquire about dynamics in the system influencing health management and use of antimicrobials, and to understand who benefits from current dynamics and policies, how and why. The guide was used in interviews and participatory group model building workshops with four groups of 15 aquaculture stakeholders, namely producers, officers, drug sellers and retailers. The workshops were used to explore scenarios and potential actions. All data were analysed using thematic analysis and cause-effect analysis and final workshops were used to refine/detail the causal-loop diagram.

RESULTS: Key factors influencing antimicrobial use, as the main driver of AMR, included restructuring of public field services, vulnerability to land use change, and financial instability due to input and market dependency. Causal relationships, loops and actions to improve surveillance and mitigate AMR were identified, including the participation in homegrown sustainability governance, engagement in farming clusters, access to aquaculture and extension services support, and demand for food safety by consumers. Current interventions in Vietnam were found to address only limited sections and stakeholders, mainly producers.

CONCLUSIONS: Vietnam is one of the top users of antimicrobials in aquaculture and despite a wide variety of interventions described, understanding of their effect and interaction in the system as well as of socio-economic and policy drivers is absent. Findings of this study contribute to a policy analysis of current AMR interventions in aquaculture and demonstrate areas of possible action.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Title":"Ms","FirstName":"Maria","LastName":"Garza","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Garza M"},{"PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Title":"Mr","FirstName":"Tai","LastName":"Mai Van","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Mai Van T"},{"PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Title":"Professor","FirstName":"Van","LastName":"Phan Thi","Position":"Director","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Phan Thi V"},{"PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Title":"Dr","FirstName":"Chadag Vishnumurthy","LastName":"Mohan","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Mohan C"},{"PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Title":"Dr","FirstName":"Andrew","LastName":"Desbois","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Desbois A"},{"PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Title":"Dr","FirstName":"Mehroosh","LastName":"Tak","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Tak M"},{"PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Title":"Professor","FirstName":"Barbara","LastName":"Häsler","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Häsler B"},{"PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Title":"Dr","FirstName":"Lucy","LastName":"Brunton","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Brunton L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Number":1,"Affiliation":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College","City":"Hatfield, AL9 7TA","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Hatfield, AL9 7TA Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Number":2,"Affiliation":"Research Institute for Aquaculture No1","City":"Dinh Bang, Tu Son","State":"Bac Ninh","Country":"Vietnam","AffiliationDisplay":"Research Institute for Aquaculture No1, Dinh Bang, Tu Son Bac Ninh, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Number":3,"Affiliation":"WorldFish","City":"Jalan Batu Maung, Batu Maung","State":"11960 Bayan Lepas, Penang","Country":"Malaysia","AffiliationDisplay":"WorldFish, Jalan Batu Maung, Batu Maung 11960 Bayan Lepas, Penang, Malaysia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9b7864d3-1945-4eae-acd8-3774862bce58","Number":4,"Affiliation":"Institute ofAquaculture, Pathfoot Building, University of Stirling","City":null,"State":"Stirling FK9 4LA","Country":"United Kingdom","AffiliationDisplay":"Institute ofAquaculture, Pathfoot Building, University of Stirling, Stirling FK9 4LA, United Kingdom"}],"AuthorsHtml":"Garza M1, Mai Van T2, Phan Thi V2, Mohan C3, Desbois A4, Tak M1, Häsler B1, Brunton L1","AffiliationsHtml":"
1Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Hatfield, AL9 7TA Hertfordshire, United Kingdom
2Research Institute for Aquaculture No1, Dinh Bang, Tu Son Bac Ninh, Vietnam
3WorldFish, Jalan Batu Maung, Batu Maung 11960 Bayan Lepas, Penang, Malaysia
4Institute ofAquaculture, Pathfoot Building, University of Stirling, Stirling FK9 4LA, United Kingdom
"}],"DisplayName":"Maria Garza","TimeDisplay":null},{"ContactId":"9557a37a-56d3-4f50-9476-6f49ddb19b7d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Milan","LastName":"Gautam","Position":null,"Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Spatio-temporal patterns of infectious salmon anemia virus (ISAv) outbreaks in marine salmon farms in Newfoundland and Labrador","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"230e48f5-c7fd-47a9-8b8c-6569f407af89","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"1c3484d4-6a47-47fa-a6fd-657e9d9cbeef","Html":null,"PlainText":"Objective(s)
Our objective was to describe the spatio-temporal patterns of infectious salmon anemia virus (ISAv) outbreaks in marine salmon farming conditions of Newfoundland and Labrador (NL) and explore risk factors associated with the timing of outbreak detection and depopulation at affected sites.

Materials and methods
ISAv surveillance data (2012- 2020) were provided by the Aquatic Animal Health Surveillance Program led by NL Department of Fisheries, Forestry, and Agriculture. Final analyses included fish and site-level data consisting of 94 sampling events and 20 Atlantic salmon production sites. ISAv detection was based on RT-PCR with genotyping for moribund and harvested fish samples. Linear regression models were used to investigate factors influencing time-to-detection (days from stocking to first ISAv detection) and time-to-depopulation (days from the first detection to site depopulation).

Results
A total of 28 unique outbreaks were reported during the study period. Site-level annual incidence risk of ISAv detection was 3-33% and fish-level annual detection in sampled fish was 2-45%. European (EU) ISAv genotype detections were more common compared to North American (NA) genotypes. The variables, ISAv genotype, neighboring farm outbreaks, and year of the outbreak were not associated with time to first ISAv detection. Outbreaks with NA genotypes had significantly shorter (p= 0.02) time to depopulation compared to EU genotypes. Time to depopulation was also significantly shorter (p=0.0004) if ISAv was first detected at a site from 2016-2018, compared to 2012-2015.

Conclusions
The annual risk of ISAv detection in marine salmon farming sites in NL varied over years at both fish and site levels. Time to depopulation was inversely associated with ISAv’s NA genotype and the year of first detection.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1c3484d4-6a47-47fa-a6fd-657e9d9cbeef","Title":"Mr.","FirstName":"Milan","LastName":"Gautam","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gautam M"},{"PresentationId":"1c3484d4-6a47-47fa-a6fd-657e9d9cbeef","Title":"Mr.","FirstName":"Larry","LastName":"Hammell","Position":"Associate Dean","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Hammell L"},{"PresentationId":"1c3484d4-6a47-47fa-a6fd-657e9d9cbeef","Title":null,"FirstName":"Holly","LastName":"Burnley","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Burnley H"},{"PresentationId":"1c3484d4-6a47-47fa-a6fd-657e9d9cbeef","Title":"Dr.","FirstName":"Nicole","LastName":"O'Brien","Position":"","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"O'Brien N"},{"PresentationId":"1c3484d4-6a47-47fa-a6fd-657e9d9cbeef","Title":null,"FirstName":"Daryl","LastName":"Whelan","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Whelan D"},{"PresentationId":"1c3484d4-6a47-47fa-a6fd-657e9d9cbeef","Title":"Mr.","FirstName":"Krishna","LastName":"Thakur","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Thakur K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1c3484d4-6a47-47fa-a6fd-657e9d9cbeef","Number":1,"Affiliation":"Centre for Veterinary Epidemiological Research, Department of Health Management, Atlantic Veterinary College, University Of Prince Edward Island","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"Centre for Veterinary Epidemiological Research, Department of Health Management, Atlantic Veterinary College, University Of Prince Edward Island, Charlottetown PEI, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1c3484d4-6a47-47fa-a6fd-657e9d9cbeef","Number":2,"Affiliation":"Aquatic Animal Health Division, Department of Fisheries, Forestry and Agriculture NL","City":null,"State":null,"Country":null,"AffiliationDisplay":"Aquatic Animal Health Division, Department of Fisheries, Forestry and Agriculture NL"}],"AuthorsHtml":"Gautam M1, Hammell L1, Burnley H1, O'Brien N2, Whelan D2, Thakur K1","AffiliationsHtml":"
1Centre for Veterinary Epidemiological Research, Department of Health Management, Atlantic Veterinary College, University Of Prince Edward Island, Charlottetown PEI, Canada
2Aquatic Animal Health Division, Department of Fisheries, Forestry and Agriculture NL
"}],"DisplayName":"Milan Gautam","TimeDisplay":null},{"ContactId":"a89fa05b-054f-4aac-865d-9f5f1460166d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Raju","LastName":"Gautam","Position":"","Organization":"Canadian Food Inspection Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The probability of detecting finfish pathogens by virus isolation based on the Ct values of real-time RT-PCR","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"230e48f5-c7fd-47a9-8b8c-6569f407af89","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"415ad97f-e169-450a-a769-8dc0d568af5d","Html":null,"PlainText":"Virus culture is a follow-up test to real-time reverse transcriptase polymerase chain reaction (RT-qPCR) in surveillance for viral pathogens in finfish. RT-qPCR detects viral genome from both culturable and non-culturable virus, and the test result is determined based on a cut-off of a critical threshold (Ct) value. Virus isolation is dependent on the presence and culturing of live virus in samples. Samples with low viral loads may not be detected by virus isolation but still be detected by RT-qPCR due to relatively higher sensitivity and/or an additional presence of gene fragments. Knowledge of the probability of detection by virus culture based on the Ct value of RT-qPCR beforehand could enhance decision making on the selection of an appropriate follow-up testing method. The study objective was to determine the probability of detection by virus culture for three viral pathogens: infectious pancreatic necrosis virus (IPNV), infectious salmon anaemia (ISAV) and viral haemorrhagic septicemia virus (VHSV) based on the Ct values of RT-qPCR detections using 2012-2019 diagnostic data. The probability of detecting ISAV and VHSV by virus culture followed a similar pattern of above 80% with Ct values < 20, decreased to 50% by a Ct of 24 and below roughly 15% with Ct values > 32. The probability of detecting IPNV was significantly greater than either ISAV or VHSV, which was not significantly different. Detection was above 80% with Ct values < 28, decreased to 50% by a Ct of 34 and 20% at a Ct of 39. VHSV and ISAV testing was done using the same or similar tissue types for both RT-qPCR and virus isolation, while 21% of IPNV testing was done using an additional number of tissue types pooled together for virus isolation than RT-qPCR.

Key words: finfish, virus, detection, RT-qPCR, virus isolation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"415ad97f-e169-450a-a769-8dc0d568af5d","Title":"Dr.","FirstName":"Annie","LastName":"Wagener","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Wagener A"},{"PresentationId":"415ad97f-e169-450a-a769-8dc0d568af5d","Title":"Dr.","FirstName":"Raju","LastName":"Gautam","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Gautam R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"415ad97f-e169-450a-a769-8dc0d568af5d","Number":1,"Affiliation":"Canadian Food Inspection Agency","City":"Ottawa","State":"ON","Country":"Canada","AffiliationDisplay":"Canadian Food Inspection Agency, Ottawa ON, Canada"}],"AuthorsHtml":"Wagener A1, Gautam R1","AffiliationsHtml":"
1Canadian Food Inspection Agency, Ottawa ON, Canada
"}],"DisplayName":"Raju Gautam","TimeDisplay":null},{"ContactId":"17f6a7a2-e2cc-4f14-943f-57a573365e3f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Biruk","LastName":"Gemeda","Position":null,"Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6a84890a225d4dc2b45a3b18771c188c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Epidemiology of Antimicrobial Resistance in Escherichia coli Isolates from Livestock and the Environment in Extensive Smallholder Livestock Farming Systems in Ethiopia ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8843ea3e-07e1-4949-9146-59cb5f6a796f","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Html":null,"PlainText":"Objective
Our objective was to characterize the distribution of AMR in E. coli from livestock feces and soil in low-resource, extensive smallholder livestock systems.
Material and Methods
A cross-sectional study was conducted with 77 randomly selected smallholder households in four districts representing two agro-ecology and production systems in Ethiopia. A total of 462 cattle, sheep and goat fecal samples and 77 soil samples were collected. E. coli was isolated and identified using a reliable biolog system and susceptibility tested for 15 antimicrobials.
Results
Of 461 E. coli isolates tested, resistance to ≥1 antimicrobial was detected in 54% (45.1–62.7) of cattle samples, 32.2% (95% CI, 24.6–40.9) of sheep samples, 58.4% (95% CI, 47.9–68.2) of goat samples, and 57.6% (95% CI, 47.3–67.3) of soil samples. The results of multivariable logistic regression analysis revealed that sample type and agroecology, and production system were strongly associated with occurrence of resistance. The odds of resistance to ≥1 antimicrobial was nearly 7 times (OR: 6.95; 95% CI; 4.47–10.81; P < 0.001) higher in lowland pastoral production system than in highland mixed crop-livestock production system. AMR patterns for E. coli from livestock and soil showed some similarities, with the highest prevalence of resistance detected against amoxycillin/clavulanate (27.7% in soil, 29.1% in cattle, 10% in sheep and 41.1% in goat) followed by tetracycline (11.2% in soil, 4.1% in cattle, 5.6% in sheep and 13.6% in goat).
Conclusion
The results of this study provided baseline information on the antimicrobial susceptibility of E. coli isolates from livestock feces and soil in Ethiopian low- resource extensive smallholder livestock settings. Lowland pastoral areas were highly contaminated with antibiotic-resistant E. coli. Further molecular analysis of resistance genes is underway to investigate evidence of overlapping patterns of transferable resistance genes between livestock and environment.
Keywords: Antimicrobial resistance, livestock, soil, E. coli, smallholders
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Title":"Dr.","FirstName":"Biruk","LastName":"Gemeda","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gemeda B"},{"PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Title":"Dr","FirstName":"Barbara","LastName":"Wieland","Position":"Principal Scientist","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Wieland B"},{"PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Title":"Dr","FirstName":"Theodore","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Knight-Jones T"},{"PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Title":"Dr.","FirstName":"Gezahegn","LastName":"Alemayehu","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Alemayehu G"},{"PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Title":"Dr.","FirstName":"Abebe","LastName":"Olana","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Olana A"},{"PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Title":"Dr.","FirstName":"Kebede","LastName":"Amenu","Position":"Lecturer","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Amenu K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Number":1,"Affiliation":"International Livestock Research Institute (ILRI)","City":"Addis Ababa","State":"Addis Ababa","Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute (ILRI), Addis Ababa Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Number":2,"Affiliation":"Institute of Virology and Immunology ","City":"Mittelhaeusern and Bern","State":null,"Country":"Switzerland","AffiliationDisplay":"Institute of Virology and Immunology , Mittelhaeusern and Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Number":3,"Affiliation":"Department of Infectious Diseases and Pathobiology (DIP), Vetsuisse Faculty, University of Bern","City":null,"State":null,"Country":"Switzerland","AffiliationDisplay":"Department of Infectious Diseases and Pathobiology (DIP), Vetsuisse Faculty, University of Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Number":4,"Affiliation":"Department of Microbiology, Immunology and Veterinary Public Health, College of Veterinary Medicine and Agriculture, Addis Ababa University","City":"Bishoftu","State":null,"Country":"Ethiopia","AffiliationDisplay":"Department of Microbiology, Immunology and Veterinary Public Health, College of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cad03016-0463-43ab-bdc6-7d098826f1a3","Number":5,"Affiliation":"National Animal Health Diagnostic and Investigation Center","City":"Sebeta","State":null,"Country":"Ethiopia","AffiliationDisplay":"National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia"}],"AuthorsHtml":"Gemeda B1, Wieland B1,2,3, Knight-Jones T1, Alemayehu G1, Olana A5, Amenu K4","AffiliationsHtml":"
1International Livestock Research Institute (ILRI), Addis Ababa Addis Ababa, Ethiopia
2Institute of Virology and Immunology , Mittelhaeusern and Bern, Switzerland
3Department of Infectious Diseases and Pathobiology (DIP), Vetsuisse Faculty, University of Bern, Switzerland
4Department of Microbiology, Immunology and Veterinary Public Health, College of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia
5National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia
"},{"Title":"Food safety and hygiene in urban chicken slaughter-slabs and street restaurants in Ouagadougou, Burkina Faso","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Html":null,"PlainText":"Objective
This study aimed to describe value chains (VCs) and food safety practices in chicken VCs supplying urban informal markets with view to identifying targeted interventions to improve food safety.
Material and Methods
VC assessment and mapping of live poultry markets, slaughter slabs and carcass sale outlets were conducted to understand and identify risky practices, followed by a cross-sectional survey of 155 slaughter slabs and 100 chicken street restaurants to quantify food safety knowledge, attitudes and practices.
Results
The majority of slaughterhouse and restaurant workers did not receive prior food safety training and food safety inspections were not conducted by the authorities in half of the restaurants visited.
Most performed slaughter on bare earth floors, without proper washing of surfaces, hands or equipment, with repeated use of the same dirty carcass wash waster, and unhygienic removal of slaughter waste material. 20% of restaurants had an inadequate supply of quality of water. In half the slaughter slabs (49%) plucking and evisceration were done at the same place facilitating cross-contamination of carcasses. Carcasses were kept in a container at ambient temperatures (20-35˚C) for 3 hours, and often then transported facilitating cross-contamination. Most restaurants do not control flies, which were widely present on carcasses, reflecting the low standards of hygiene.
Conclusion
The findings reflect the near absence of hygiene standards at the chicken slaughterhouse premises posing massive risks to public health. In street restaurants, although meat was typically well-cooked, which is critical especially as hygiene during preparation is poor. However, opportunities for cross-contamination were high with 30% of dishes being served with uncooked salad compounded by inadequate washing, water and refrigerated food storage. The study identified knowledge gaps, barriers, and poor practices that will lead to widespread pathogen contamination of foods and food preparation environments.
Keywords: Chicken, microbiological safety, Hygiene, Value chain
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Title":"Mr.","FirstName":"Biruk","LastName":"Gemeda","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gemeda B"},{"PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Title":"Mr.","FirstName":"Michel","LastName":"Dione","Position":"Senior Scientist","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Dione M"},{"PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Title":"Dr","FirstName":"Guy","LastName":"Ilboudo","Position":"Research assistant","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Ilboudo G"},{"PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Title":"Dr.","FirstName":"Valérie Raymonde","LastName":"Lallogo","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Lallogo V"},{"PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":"4,5","IsPresenting":false,"SortOrder":5,"DisplayName":"Randolph D"},{"PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Knight-Jones T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Number":1,"Affiliation":"International Livestock Research Institute (ILRI)","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Number":2,"Affiliation":"International Livestock Research Institute (ILRI)","City":"Dakar","State":null,"Country":"Senegal","AffiliationDisplay":"International Livestock Research Institute (ILRI), Dakar, Senegal"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Number":3,"Affiliation":"International Livestock Research Institute (ILRI)","City":"Ouagadougou","State":null,"Country":"Burkina Faso","AffiliationDisplay":"International Livestock Research Institute (ILRI), Ouagadougou, Burkina Faso"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Number":4,"Affiliation":"University of Greenwich","City":"Chatham Maritime","State":null,"Country":"UK","AffiliationDisplay":"University of Greenwich, Chatham Maritime, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef415972-13ae-43b8-a6ac-8c14e6dc66af","Number":5,"Affiliation":"International Livestock Research Institute (ILRI)","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute (ILRI), Nairobi, Kenya"}],"AuthorsHtml":"Gemeda B1, Dione M2, Ilboudo G3, Lallogo V3, Randolph D4,5, Knight-Jones T1","AffiliationsHtml":"
1International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
2International Livestock Research Institute (ILRI), Dakar, Senegal
3International Livestock Research Institute (ILRI), Ouagadougou, Burkina Faso
4University of Greenwich, Chatham Maritime, UK
5International Livestock Research Institute (ILRI), Nairobi, Kenya
"}],"DisplayName":"Biruk Gemeda","TimeDisplay":null},{"ContactId":"821b51f3-dad1-40e3-b768-1e12970c8997","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Keli","LastName":"Gerken","Position":"Post-doctoral Researcher","Organization":"Stanford University School of Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/003f91db47bd489ba38dd24f2c78aa68","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Urban Rift Valley Fever Virus as a New Ecological Niche: Continuous Introduction from Animal Products?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"328192c0-d1c8-4b2b-9f4c-b578cfe52b34","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.E - Epidemiologic Principles and Methods (Bias)","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ea33909a-55a9-45dd-ba1b-e9c18870e437","Html":null,"PlainText":"Key words: urban zoonotic Rift Valley Fever, livestock movement, slaughterhouse

Objective
Rift Valley Fever virus (RVFV) is a globally important mosquito-transmitted virus that is endemic across Africa and can cause severe disease in domestic ruminants and humans. Spread is driven by livestock movement and despite high urban demand for meat, RVFV has not been identified in urban centers.
The objectives of this mixed methods study were to assess risk by testing slaughtered livestock for RVFV exposure and map origins and routes of animals take to enter the urban food chain.

Materials and methods
This study was carried out in Kisumu, Kenya, at the main urban slaughterhouse. Blood was collected from cattle, sheep, and goats directly after slaughter and tested for RVFV exposure using a commercially available IgG kit. Slaughterhouse businessmen responded to a questionnaire about the animals’ origin, marketplace, and transport. Livestock flow from origin to slaughterhouse was mapped using participatory mapping techniques in focus group discussions. Qualitative data on route influences and challenges with livestock movement was then integrated into the map for context.

Results
A total of 304 blood samples were collected from slaughtered livestock. 99% of animals were purchased from 28 different markets across eight counties in Kenya. A 9% overall seroprevalence was identified and seroprevalence in cattle alone was 18%. Migori county that shares a border with Tanzania had a 25% seroprevalence and 80% of all positive cows came from one marketplace in this county. Road quality influenced decisions for transporting animals and marketplace choice was driven by price.

Conclusion

This study provided proof of concept for a novel sampling framework that can be locally implemented and rapidly deployed in response to increased regional risk. This information can be used in conjunction with participatory maps to improve livestock surveillance in urban centers of RVFV endemic regions.
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1Stanford University School of Medicine, Stanford CA, USA
2Kenya Medical Research Institution, Kisumu, Kenya
3Technical University of Mombasa, Mombasa, Kenya
4Stanford University Department of Anthropology, Stanford, California
"}],"DisplayName":"Keli Gerken","TimeDisplay":null},{"ContactId":"f86f66b3-c6cb-4426-a225-dd5c158069ea","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jörn","LastName":"Gethmann","Position":null,"Organization":"Friedrich-Loeffler-Institut","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/14efacd539784e44b372c9179ccc2c36","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Participatory risk mapping of African swine fever in Europe","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"770ebe47-1f48-44bc-92c3-0bcde88690e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.C - Risk Assessment","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"fc93a671-9bd2-4cdf-ab23-405e479e6284","Html":null,"PlainText":"Objective: Accurate identification of regions with a high risk of African swine fever [ASF] introduction is critical for efficient allocation of resources to prevent disease occurrence. Our knowledge of risk factors that informs spatial disease estimates is incomplete, complex and uncertain, thus limiting rational approaches to discerning high-risk regions through strictly statistical or logical means alone. The objective of this work was to develop a novel participatory mapping system (Participatory risk mapping network for animal diseases, PRMNAD) that exploits efficient cognitive decision-making processes, known as heuristics.

Materials and methods: During a study that applied PRMNAD to ASF, users were asked to evaluate map-based risk information and the monthly ASF-disease status in Europe, to then choose currently ASF-free 100 sqkm regions that were in their opinion at high risk of getting the disease during the next month. Users also listed the risk factors they considered for each selected high-risk region. At the end of each assessment period, user selections were validated against the true disease status that emerged. We then modelled the PRMNAD system to compare its performance with stochastic identification of high-risk regions for ASF spread.

Results: We found that person-based PRMNAD selection of ASF high-risk regions outperformed an entirely random selection model by about 167-fold (geo.-mean, range 58 – 333-fold) and a distance-to-disease informed model by about 26-fold (geo.-mean, range 9 – 58-fold), suggesting that PRMNAD yielded potential disease classifiers during this study.

Conclusion: PRMNAD explores regionally and timely explicit disease classification methods at the interface of social sciences and epidemiology. PRMNAD provides accessible expert opinion, facilitates the identification of disease risk factors and examines efficient heuristic disease spread classification strategies to inform modelling of complex animal disease spread.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773701.
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1Friedrich-Loeffler-Institut, Institute of Epidemiology, Greifswald Mecklenburg Western Pomerania, Germany
"}],"DisplayName":"Jörn Gethmann","TimeDisplay":null},{"ContactId":"4aeab850-7f61-4a24-9fb9-05be9613c065","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"George","LastName":"Gitau","Position":"","Organization":"University of Nairobi","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Investigating compliance with and impacts of cow comfort recommendations in smallholder dairy farmers in Kenya","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"b0fa2f21-1619-451c-a547-4091f9067e87","Html":null,"PlainText":"Objectives
Smallholder dairy farmers (SDF) in developing countries have limited understanding on the important role of cow comfort on dairy cow productivity. We conducted a randomized controlled trial on 124 cows on 114 SDF to determine the status of cow comfort, to assess compliance to farm-specific cow comfort recommendations, and to evaluate the impact of the recommendation intervention on cow comfort.
Materials and methods
On the first farm visit, stall dimensions and characteristics (e.g. stall base hardness and hygiene) were measured and marked as adequate, marginal or inadequate/absent based on standard industry criteria. Where measurements were not adequate, farm-specific cow comfort recommendations were provided in written and oral form to the randomly allocated intervention group of farms (n=74). On the second farm visit two months later, the same measurements were taken, and compliance to the recommendations was evaluated. A discomfort index was arithmetically calculated based on the stall base hardness (scale was 1-3 for soft to hard) and hygiene (scale was 1-5 for clean to dirty). Multivariable linear regression models were used to determine associations with the discomfort index.
Results
On the first visit, the mean stall hardness and hygiene scores were 1.7 and 2.3, respectively, for a mean discomfort index of 4.0. Intervention farmers were given 3.9 comfort recommendations and complied with 2.1 recommendations, improving the discomfort index at visit two to 3.1. In the final model, bedding type, neck rail positioning and reported current milk yield were significantly associated with the discomfort index, along with the interaction between visit number and study group, demonstrating improved cow comfort among cows on intervention farms.
Conclusion
We concluded that farmers can improve cow comfort on SDF by providing recommendations to them. Farm advisors should include cow comfort recommendations to SDF.
Key words: cow comfort, smallholder dairy farms, recommendations, compliance.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b0fa2f21-1619-451c-a547-4091f9067e87","Title":"Dr.","FirstName":"Edward","LastName":"Ng'ang'a","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Ng'ang'a E"},{"PresentationId":"b0fa2f21-1619-451c-a547-4091f9067e87","Title":"Prof.","FirstName":"John","LastName":"VanLeeuwen","Position":"Interim Dean of the Atlantic Veterinary College","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"VanLeeuwen J"},{"PresentationId":"b0fa2f21-1619-451c-a547-4091f9067e87","Title":"Dr.","FirstName":"George","LastName":"Gitau","Position":"","Affiliations":"2","IsPresenting":true,"SortOrder":3,"DisplayName":"Gitau G"},{"PresentationId":"b0fa2f21-1619-451c-a547-4091f9067e87","Title":"Dr.","FirstName":"Gregory","LastName":"Keefe","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Keefe G"},{"PresentationId":"b0fa2f21-1619-451c-a547-4091f9067e87","Title":"Dr.","FirstName":"Shawn","LastName":"McKenna","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"McKenna S"},{"PresentationId":"b0fa2f21-1619-451c-a547-4091f9067e87","Title":"Dr","FirstName":"Luke","LastName":"Heider","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Heider L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0fa2f21-1619-451c-a547-4091f9067e87","Number":1,"Affiliation":"Department of health management, Atlantic Veterinary College","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"Department of health management, Atlantic Veterinary College, Charlottetown PEI, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0fa2f21-1619-451c-a547-4091f9067e87","Number":2,"Affiliation":"Department of clinical studies, University of Nairobi.","City":"Kabete","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Department of clinical studies, University of Nairobi., Kabete Nairobi, Kenya"}],"AuthorsHtml":"Ng'ang'a E1, VanLeeuwen J1, Gitau G2, Keefe G1, McKenna S1, Heider L1","AffiliationsHtml":"
1Department of health management, Atlantic Veterinary College, Charlottetown PEI, Canada
2Department of clinical studies, University of Nairobi., Kabete Nairobi, Kenya
"}],"DisplayName":"George Gitau","TimeDisplay":null},{"ContactId":"b3bfbaca-98b7-4b06-9cad-008fcae8aa40","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Hanne M.","LastName":"Goetz","Position":"","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/430739baad204b689477ac02f870f935","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"GoetzHanne","_facebookUrl":"","_linkedInUrl":"www.LinkedIn.com/in/Hanne-Goetz","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"GoetzHanne","FacebookUrl":"","LinkedInUrl":"www.LinkedIn.com/in/Hanne-Goetz","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=GoetzHanne","FullFacebookUrl":"","FullLinkedInUrl":"http://www.LinkedIn.com/in/Hanne-Goetz","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=GoetzHanne","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.LinkedIn.com/in/Hanne-Goetz","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"The effect of long-distance transportation on hematological parameters in surplus dairy calves","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c9aa60ab-6f8a-4ce7-b257-16d267e201ab","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Html":null,"PlainText":"Objective: The objective of this randomized controlled trial was to investigate the effect of transport duration on blood parameters in surplus dairy calves following 6, 12, or 16 h of road transportation.
Materials and methods: Surplus calves from 5 dairy farms in Ontario were enrolled and examined daily for 14 d prior to transport (n = 175). On the day of transportation, calves were randomly assigned to 6, 12, or 16 h of transportation and were weighed and blood sampled. Blood samples were also collected immediately after transportation. Serum was analyzed at a commercial laboratory for non-esterified fatty acids (NEFA), beta-hydroxybutyrate (BHBA), creatine kinase (CK), cholesterol, and haptoglobin. Blood gas values were assessed immediately after sampling. Repeated measures mixed models were built to assess the impact of transport duration on these parameters.
Results: Immediately following transportation, NEFA and BHBA were significantly higher (P < 0.01) in calves transported for 12 (+ 0.22 mmol/L NEFA; + 43.51 umol/L BHBA) and 16 h (0.04 mmol/L NEFA; 96.01 umol/L BHBA) compared to calves transported for 6 h. Glucose was lower following transportation in calves transported for 16 compared to 6 h (-15.54 mg/dL, P < 0.01). In addition, pH and HCO3- were significantly lower (P < 0.01) in calves transported for 12 (- 0.09 pH; - 1.59 mmol/L HCO3-) and 16 h (- 0.07 pH; -1.95 mmol/L HCO3-) compared to calves transported for 6 h.
Conclusion: These findings show that transporting calves long distances results in hypoglycemia and suboptimal energy status, and the impact of this experience depends on the calf’s age.
Keywords: Male dairy calf, dairy-beef, veal industry","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Title":"Ms.","FirstName":"Hanne M.","LastName":"Goetz","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Goetz H"},{"PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Title":"Dr.","FirstName":"David F.","LastName":"Kelton","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Kelton D"},{"PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Title":"Dr.","FirstName":"Joao H. C.","LastName":"Costa","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Costa J"},{"PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Title":"Dr. ","FirstName":"Kate C.","LastName":"Creutzinger","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Creutzinger K"},{"PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Title":"Dr. ","FirstName":"Charlotte B.","LastName":"Winder","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Winder C"},{"PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Title":"Dr. ","FirstName":"David L.","LastName":"Renaud","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Renaud D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Number":1,"Affiliation":"Department of Population Medicine, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University Of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Number":2,"Affiliation":"Department of Animal and Food Sciences, University of Kentucky","City":"Lexington","State":"KY","Country":"USA","AffiliationDisplay":"Department of Animal and Food Sciences, University of Kentucky, Lexington KY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e490856b-1035-41f0-83f8-a20b028e19a4","Number":3,"Affiliation":"Department of Animal and Food Science, University of Wisconsin-River Falls","City":"River Falls","State":"WI","Country":"USA","AffiliationDisplay":"Department of Animal and Food Science, University of Wisconsin-River Falls, River Falls WI, USA"}],"AuthorsHtml":"Goetz H1, Kelton D1, Costa J2, Creutzinger K3, Winder C1, Renaud D1","AffiliationsHtml":"
1Department of Population Medicine, University Of Guelph, Guelph ON, Canada
2Department of Animal and Food Sciences, University of Kentucky, Lexington KY, USA
3Department of Animal and Food Science, University of Wisconsin-River Falls, River Falls WI, USA
"}],"DisplayName":"Hanne M. Goetz","TimeDisplay":null},{"ContactId":"154f720d-829e-43a4-94d2-2b4412994e30","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Hannah","LastName":"Golightly","Position":"","Organization":"Ontario Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Impact of weaning-related vs transport-related stress on serum cortisol levels in commercial piglets","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c61bd4fd-0187-4602-9f92-44d5590883d9","Html":null,"PlainText":"Key words: piglet, transport, weaning, welfare

Objective: Evaluate stress response through changes in serum cortisol levels collected from piglets that undergo weaning, weaning and transport, or neither, to help interpret the effects of transport after weaning on piglet welfare.

Materials and methods: Two groups of piglets were evaluated. Piglets from group 1 were either weaned (n=20, 5.1 ± 1.3 kg), or remained in the farrowing crate (n=20, 5.3 ± 0.8 kg). Serum cortisol samples were collected from group 1 piglets 24h before weaning and five times after weaning, up to 72h after. Piglets from group 2 were either weaned and transported a short duration (SD <3h) on the same day (n=80, 6.3 ± 0.8 kg), or weaned and transported for a long duration (LD >30h) one to six days post-weaning (n=80, 6.0 ± 1.1 kg). Sera were collected from group 2 piglets the day before transport and upon arrival after transport. Cortisol distributions between groups were compared descriptively. Differences between values within groups were evaluated using a Wilcoxon Two-Sample test for non-parametric data.

Results: Group 1 weaned piglets had a marked increase in cortisol 1h after weaning indicating increased stress and did not lower to non-weaned piglet levels by 3d after weaning (P<0.001). After transport, group 2 SD piglet cortisol levels were numerically closer to non-weaned than weaned piglet levels collected 5h after weaning and were higher than LD arrival levels (P<0.001).

Conclusions: Transporting piglets for short durations immediately after weaning may reduce total time with elevated cortisol levels compared to weaning alone. Piglets undergoing long transport multiple days after weaning may not be recovered from weaning stress at the time of transport. These findings support further investigation of proximity to weaning before transport on cumulative stress response experienced and the overall impact on piglet welfare. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c61bd4fd-0187-4602-9f92-44d5590883d9","Title":"Dr.","FirstName":"Hannah","LastName":"Golightly","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Golightly H"},{"PresentationId":"c61bd4fd-0187-4602-9f92-44d5590883d9","Title":"Dr.","FirstName":"Jennifer","LastName":"Brown","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Brown J"},{"PresentationId":"c61bd4fd-0187-4602-9f92-44d5590883d9","Title":"Dr.","FirstName":"Renée","LastName":"Bergeron","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Bergeron R"},{"PresentationId":"c61bd4fd-0187-4602-9f92-44d5590883d9","Title":"Dr.","FirstName":"Zvonimir","LastName":"Poljak","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Poljak Z"},{"PresentationId":"c61bd4fd-0187-4602-9f92-44d5590883d9","Title":"Ms.","FirstName":"Terri","LastName":"O'Sullivan","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"O'Sullivan T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c61bd4fd-0187-4602-9f92-44d5590883d9","Number":1,"Affiliation":"Department of Population Medicine, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University Of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c61bd4fd-0187-4602-9f92-44d5590883d9","Number":2,"Affiliation":"Prairie Swine Centre","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Prairie Swine Centre, Saskatoon SK, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c61bd4fd-0187-4602-9f92-44d5590883d9","Number":3,"Affiliation":"Department of Animal Biosciences, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Animal Biosciences, University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Golightly H1, Brown J2, Bergeron R3, Poljak Z1, O'Sullivan T1","AffiliationsHtml":"
1Department of Population Medicine, University Of Guelph, Guelph ON, Canada
2Prairie Swine Centre, Saskatoon SK, Canada
3Department of Animal Biosciences, University Of Guelph, Guelph ON, Canada
"},{"Title":"Cohort study evaluating newly weaned piglet behaviour after short or long duration transport ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fd4427d9-f8ef-4590-a58b-25f75a26cfc4","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"9e96bda2-7764-45f5-929e-360e3ee2a14f","Html":null,"PlainText":"Key words: behaviour, piglet, transport, weaning, welfare

Objective: Compare feeding, drinking, resting, and stress-associated behaviours performed by piglets after short or long commercial transport to evaluate welfare implications of transport duration when combined with common weaning practices.

Materials and methods: Piglets from two farms were selected from groups undergoing weaning (at approximately three weeks of age) and short duration transport on the same day (SD: <3h, n=200, 6.2 ± 0.9 kg), or weaning and long duration transport after one to six days (LD: >30h, n=240, 6.0 ± 1.1 kg). Four transports were followed for each duration. Piglets were unloaded into nursery pens in the same groups as during transport to avoid mixing. Video footage was collected on the day of arrival (T1) and three to four days later (T2), with 5.5 hours of footage each day transcribed using scan sampling at five-minute intervals. The proportion of piglets observed feeding, drinking, lying, and sitting were compared between duration groups using mixed linear regression models.

Results: Piglets that underwent LD transport were observed feeding more than SD piglets at T1 (LD: 24.3%, SD: 5.1%; P<0.05) and T2 (LD: 19.8%, SD: 9.6%; P<0.05). More drinking was observed for LD piglets than SD piglets (T1: LD: 13.6%, SD: 5.6%; P<0.05 and T2: LD:10.2%, SD: 5.7%; P<0.05), and sitting was also elevated in LD piglets at both timepoints (T1: LD:13.8%, SD: 5.4%; P<0.05 and T2: LD: 9.5%, SD: 5.3%; P<0.05). Lying was observed more in pens with SD piglets at T2 only (LD: 61.6%, SD: 87.0%; P<0.05).

Conclusions: Both the long transport duration and previous experience with feed likely contributed to increased feeding and drinking in LD piglets. Further investigation of weaning and transport timelines and interventions to address hunger and thirst may benefit piglet welfare. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9e96bda2-7764-45f5-929e-360e3ee2a14f","Title":"Dr.","FirstName":"Hannah","LastName":"Golightly","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Golightly H"},{"PresentationId":"9e96bda2-7764-45f5-929e-360e3ee2a14f","Title":"Dr.","FirstName":"Jennifer","LastName":"Brown","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Brown J"},{"PresentationId":"9e96bda2-7764-45f5-929e-360e3ee2a14f","Title":"Dr.","FirstName":"Renée","LastName":"Bergeron","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Bergeron R"},{"PresentationId":"9e96bda2-7764-45f5-929e-360e3ee2a14f","Title":"Dr.","FirstName":"Zvonimir","LastName":"Poljak","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Poljak Z"},{"PresentationId":"9e96bda2-7764-45f5-929e-360e3ee2a14f","Title":"Dr.","FirstName":"Terri","LastName":"O'Sullivan","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"O'Sullivan T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9e96bda2-7764-45f5-929e-360e3ee2a14f","Number":1,"Affiliation":"Department of Population Medicine, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University Of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9e96bda2-7764-45f5-929e-360e3ee2a14f","Number":2,"Affiliation":"Prairie Swine Centre","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Prairie Swine Centre, Saskatoon SK, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9e96bda2-7764-45f5-929e-360e3ee2a14f","Number":3,"Affiliation":"Department of Animal Biosciences, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Animal Biosciences, University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Golightly H1, Brown J2, Bergeron R3, Poljak Z1, O'Sullivan T1","AffiliationsHtml":"
1Department of Population Medicine, University Of Guelph, Guelph ON, Canada
2Prairie Swine Centre, Saskatoon SK, Canada
3Department of Animal Biosciences, University Of Guelph, Guelph ON, Canada
"}],"DisplayName":"Hannah Golightly","TimeDisplay":null},{"ContactId":"a3124940-cb3a-41bc-b7dd-3b494bebd901","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jamie","LastName":"Goltz","Position":null,"Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/709b19a10bb1485096fb06c62fec61da","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jamie-goltz-661175133","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jamie-goltz-661175133","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jamie-goltz-661175133","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/jamie-goltz-661175133","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Development of an Integrated Assessment Model of Colonization with Extended-Spectrum Beta-Lactamase-Producing Escherichia coli in the Households of Canadian Adults","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"97c96c1f-0955-4bc8-9a07-31dcd437828d","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"25ff76c1-611d-4bd8-beda-72d5751e49bf","Html":null,"PlainText":"Objectives: The goals of this project were to 1) develop a base model framework to estimate human colonization with resistant microorganisms, and 2) use the model to evaluate the influence of factors for human colonization with extended-spectrum beta-lactamase-producing Escherichia coli.
Materials and methods: An existing integrated assessment model for antimicrobial resistance in animals along the agri-food system was adapted for modelling in humans. To validate the model structure, a scenario model was run that evaluated exposure to extended-spectrum beta-lactamase-producing Escherichia coli in Canadian adults within their household (i.e., where individuals reside). Data from published literature identified in a previous review, government sources, and expert consultation were used to parameterize the model.
Results: A framework was created based on the existing integrated assessment model that can incorporate data and assess the influence of different drivers of antimicrobial resistant microorganisms in humans in different settings. Ongoing analyses include scenario-based evaluations of the impact of select factors on colonization with extended-spectrum beta-lactamase-producing E. coli in adults within their households.
Conclusion: This model is important for evaluating the impact of different potential drivers of human exposure to antimicrobial resistant bacteria from human, animal, and environmental sources. The base model will permit different scenarios to be run, and will improve our understanding of the relative contribution of different factors and locations for potential exposure to extended-spectrum beta-lactamase-producing Enterobacteriaceae. Finally, this tool has the potential to be modified to explore exposure pathways for different resistant microorganisms and can inform development and implementation of interventions to combat antimicrobial resistance.

Keywords: Antimicrobial Resistance, Statistical Modelling, One Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"25ff76c1-611d-4bd8-beda-72d5751e49bf","Title":"Ms.","FirstName":"Jamie","LastName":"Goltz","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Goltz J"},{"PresentationId":"25ff76c1-611d-4bd8-beda-72d5751e49bf","Title":null,"FirstName":"Colleen ","LastName":"Murphy","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Murphy C"},{"PresentationId":"25ff76c1-611d-4bd8-beda-72d5751e49bf","Title":null,"FirstName":"Carson","LastName":"Carolee","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Carolee C"},{"PresentationId":"25ff76c1-611d-4bd8-beda-72d5751e49bf","Title":null,"FirstName":"Elizabeth Jane","LastName":"Parmley","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Parmley E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"25ff76c1-611d-4bd8-beda-72d5751e49bf","Number":1,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"25ff76c1-611d-4bd8-beda-72d5751e49bf","Number":2,"Affiliation":"Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph ON, Canada"}],"AuthorsHtml":"Goltz J1, Murphy C2, Carolee C2, Parmley E1","AffiliationsHtml":"
1Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada
2Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph ON, Canada
"}],"DisplayName":"Jamie Goltz","TimeDisplay":null},{"ContactId":"c3fe133a-3e5b-4e60-a5da-5f0d331d90d8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alberto","LastName":"Gómez-Buendía","Position":"Phd Student","Organization":"VISAVET Health Surveillance Centre","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/dff4784b679b4f5b95f1e7d40989ff32","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Accuracy of Tests for Diagnosis of Animal Tuberculosis: Moving Away from the Golden Calf (and towards Bayesian Models)","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a72e676e-c7d7-4b76-8c8c-1c734d9b93aa","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.C - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Html":null,"PlainText":"Major efforts to develop new and improved tools to detect tuberculosis (TB)-infected animals have progressed in the last decades. However, bacteriological culture, the reference test typically used to determine their diagnostic performance, is not a perfect test. In this context, the use of Bayesian Latent Class Models (BLCMs), not based on the use of a reference test, to estimate test performance is well suited and has been increasingly applied. Here, we review BLCMs and methodologies applied for TB diagnosis, along with results obtained to assess their usefulness and consistency, in particular with regards to classical estimates obtained through the use of a gold standard.

A systematic review was conducted to retrieve articles that assessed the accuracy of diagnostic tests for detection of TB in livestock or wildlife based on the use of BLCMs. Information on populations tested, models used, and posterior estimates of test accuracy were extracted from selected articles, and their quality was assessed using the STARD-BLCM guidelines.

Within the last 13 years a total of 22 articles published reported the use of BLCMs for the evaluation of TB diagnostic tests. Posterior sensitivity and specificity estimates from BLCMs-based studies deviated consistently from those obtained using a gold standard for certain antemortem tests, suggesting an overall lower sensitivity of the skin-tests (below the usually more ‘optimistic’ priors used in most studies) and serology, and a higher sensitivity of the IFN-γ assays, while agreed on postmortem diagnostic tests.

Given the limitations of all available reference tests, BLCM-based estimates may better reflect the real performance of TB diagnostic tests. In spite of the complexities of this statistical approach, its careful implementation can help to assess TB-test performance while formally considering host-specific factors through the use of newly developed models.

Keywords: Animal tuberculosis, Systematic review, Bayesian latent class model, Mycobacterium bovis, Diagnosis.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Title":"Mr.","FirstName":"Alberto","LastName":"Gómez Buendía","Position":"PhD Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gómez Buendía A"},{"PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Title":"Dr.","FirstName":"Pilar","LastName":"Pozo","Position":"Collaborating researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Pozo P"},{"PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Title":"Dr.","FirstName":"Catalina","LastName":"Picasso","Position":"Post-doctoral associate","Affiliations":"2,3","IsPresenting":false,"SortOrder":3,"DisplayName":"Picasso C"},{"PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Title":"Prof.","FirstName":"Adam J.","LastName":"Branscum","Position":"Associate Professor","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Branscum A"},{"PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Title":"Prof.","FirstName":"Andres","LastName":"Pérez","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Pérez A"},{"PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Title":"Dr.","FirstName":"Julio","LastName":"Álvarez","Position":"Researcher","Affiliations":"1,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Álvarez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Number":1,"Affiliation":"VISAVET Health Surveillance Centre, Universidad Complutense de Madrid","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Number":2,"Affiliation":"Veterinary Population Medicine Department, University of Minnesota","City":"St. Paul ","State":"Minnesota","Country":"United States","AffiliationDisplay":"Veterinary Population Medicine Department, University of Minnesota, St. Paul Minnesota, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Number":3,"Affiliation":"Facultad de Veterinaria, Universidad de la República","City":"Montevideo","State":null,"Country":"Uruguay","AffiliationDisplay":"Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Number":4,"Affiliation":"Biostatistics Program, Oregon State University","City":"Corvallis","State":"Oregon","Country":"United States","AffiliationDisplay":"Biostatistics Program, Oregon State University, Corvallis Oregon, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"765b6ddb-61a3-4b38-bd63-310979d5b5f0","Number":5,"Affiliation":"Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain"}],"AuthorsHtml":"Gómez Buendía A1, Pozo P1, Picasso C2,3, Branscum A4, Pérez A2, Álvarez J1,5","AffiliationsHtml":"
1VISAVET Health Surveillance Centre, Universidad Complutense de Madrid, Madrid, Spain
2Veterinary Population Medicine Department, University of Minnesota, St. Paul Minnesota, United States
3Facultad de Veterinaria, Universidad de la República, Montevideo, Uruguay
4Biostatistics Program, Oregon State University, Corvallis Oregon, United States
5Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain
"}],"DisplayName":"Alberto Gómez-Buendía","TimeDisplay":null},{"ContactId":"04443505-d3fa-4a67-88a5-abacbedeb7aa","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jose Pablo","LastName":"Gomez-Vazquez","Position":"Postdoctoral Scholar","Organization":"UC Davis CADMS","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7ff1e3f46c334db68e74f61032330824","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"An open access framework for quantitative rapid risk assessment","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3e92c612-9813-45ad-825f-6027761ab0ac","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.D - Risk Assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"c2be20ca-cc56-451e-a6ec-9af8db43fff9","Html":null,"PlainText":"Rapid risk assessment (RRA) has been proven to be a valuable tool for supporting decision-making. In the context of transboundary animal diseases, RRA is critical for any disease control program to evaluate the risk of a potential introduction and identify areas where reinforced surveillance or mitigation strategies can have higher impact on reducing the risk. Although there are several tools available for RRA, many of these tools are not very accessible or user-friendly and can be time consuming to implement. The objective of this project was to develop an intuitive, flexible and open access framework to support decision making in the process of importation and exportation of animals and animal products using RRA.
Material and methods: We developed our framework using R and Shiny, and implemented as an R package and a web application that can be accessed from any computer, tablet or smart phone with access to internet connection. The web platform allows the user to specify the model tree depending on the interests, which can be saved and shared easily. The web platform also allows the user to estimate the risk based on a stochastic probabilistic model. We illustrate the applications of our framework using as an example the introduction and dissemination of African Swine Fever, based on a previously specified model trees from literature.
Results: Using the proposed framework we were able to replicate results previously obtained with other tools (i.e. @Risk). In addition, our framework provides the ability to evaluate the model using advanced sensitivity analysis (i.e. random forest) of the parameters to identify the most relevant parameters in the risk estimation.
Conclusion: This proposed framework offers flexibility and can be adapted to different diseases. An example of our application can be found at: https://jpablo91.shinyapps.io/QuantRRA/.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c2be20ca-cc56-451e-a6ec-9af8db43fff9","Title":"Dr.","FirstName":"Jose Pablo","LastName":"Gomez-vazquez","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gomez-vazquez J"},{"PresentationId":"c2be20ca-cc56-451e-a6ec-9af8db43fff9","Title":null,"FirstName":"Alejandro","LastName":"Zaldivar-Gomez","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Zaldivar-Gomez A"},{"PresentationId":"c2be20ca-cc56-451e-a6ec-9af8db43fff9","Title":null,"FirstName":"Cecilia","LastName":"Aguilar-Vega","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Aguilar-Vega C"},{"PresentationId":"c2be20ca-cc56-451e-a6ec-9af8db43fff9","Title":"Dr.","FirstName":"Beatriz","LastName":"Martinez-Lopez","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Martinez-Lopez B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c2be20ca-cc56-451e-a6ec-9af8db43fff9","Number":1,"Affiliation":"Center for Animal Disease Modeling and Surveillance (CADMS), University of California Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Center for Animal Disease Modeling and Surveillance (CADMS), University of California Davis, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c2be20ca-cc56-451e-a6ec-9af8db43fff9","Number":2,"Affiliation":"Laboratorio de Ecología de Enfermedades y Una Salud, Universidad Nacional Autónoma de Mexico (UNAM)","City":"Mexico city","State":"Mexico city","Country":"Mexico","AffiliationDisplay":"Laboratorio de Ecología de Enfermedades y Una Salud, Universidad Nacional Autónoma de Mexico (UNAM), Mexico city Mexico city, Mexico"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c2be20ca-cc56-451e-a6ec-9af8db43fff9","Number":3,"Affiliation":"Health Surveillance Centre, Complutense University of Madrid","City":null,"State":"Madrid","Country":"Spain","AffiliationDisplay":"Health Surveillance Centre, Complutense University of Madrid, Madrid, Spain"}],"AuthorsHtml":"Gomez-vazquez J1, Zaldivar-Gomez A2, Aguilar-Vega C3, Martinez-Lopez B1","AffiliationsHtml":"
1Center for Animal Disease Modeling and Surveillance (CADMS), University of California Davis, Davis CA, USA
2Laboratorio de Ecología de Enfermedades y Una Salud, Universidad Nacional Autónoma de Mexico (UNAM), Mexico city Mexico city, Mexico
3Health Surveillance Centre, Complutense University of Madrid, Madrid, Spain
"},{"Title":"Spatial-explicit agent-based modeling to inform targeted surveillance and emergency response against foot-and-mouth disease in the last phase of eradication programs","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"084cbe14-06d8-4516-9675-0d79f84d8717","Html":null,"PlainText":"Objective: Foot-and-Mouth Disease continues to be one of the most economically important diseases for the livestock industry due the international trade restrictions and the production losses in the affected countries. Despite the intense local, national and international efforts for FMD prevention and control, FMD remains endemic in many countries in South and central America, most of Africa, Asia and Eastern Europe. In this study we aim to evaluate the spatio-temporal dynamics of a potential introduction of FMD in Ecuador to identify high risk areas, as well as the effect of different intervention strategies to mitigate the disease impact in cattle production systems.
Methods: We developed a spatial explicit stochastic agent-based model that simulates local and national level disease spread dynamics. We parametrized our model using data from animal demographics, location of farms, vaccination coverage and movement patterns. Our model also asses the interventions to control the disease impact, such as emergency vaccination, culling and movement restrictions. Model outcomes include the total number of infected farms, culled animals and farms to vaccinate in a disease emergency scenario to control de spread. Risk maps were generated for different introduction scenarios.
Results: Our results suggest that reducing the average number of days to detection and removal of infected farms from 21 to 7 days can reduce the overall disease impact in a 53.3%. Scenarios where the index case was introduced in the south region resulted in larger outbreaks.
Conclusions: The results presented here intend to support the current FMD eradication program in Ecuador to improve the emergency preparedness and advance faster towards the final steps of the eradication process. Our modelling approach can be easily adapted to different scenarios in other countries and for other transboundary animal diseases such as African Swine fever.

Keywords: Spatial modeling; Agent-based models; Stochastic modeling; Foot-and-mouth disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"084cbe14-06d8-4516-9675-0d79f84d8717","Title":"Mr.","FirstName":"Jose Pablo","LastName":"Gomez-Vazquez","Position":"Postdoctoral Scholar","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gomez-Vazquez J"},{"PresentationId":"084cbe14-06d8-4516-9675-0d79f84d8717","Title":null,"FirstName":"Alexandra","LastName":"Burbano-Enriquez","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Burbano-Enriquez A"},{"PresentationId":"084cbe14-06d8-4516-9675-0d79f84d8717","Title":null,"FirstName":"Manuel José","LastName":"Sanchez-Vázquez","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Sanchez-Vázquez M"},{"PresentationId":"084cbe14-06d8-4516-9675-0d79f84d8717","Title":"Dr.","FirstName":"Beatriz","LastName":"Martínez-López","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Martínez-López B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"084cbe14-06d8-4516-9675-0d79f84d8717","Number":1,"Affiliation":"Center for animal disease modeling and surveillance (CADMS), University of California , Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Center for animal disease modeling and surveillance (CADMS), University of California , Davis, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"084cbe14-06d8-4516-9675-0d79f84d8717","Number":2,"Affiliation":"Agencia Ecuatoriana de Aseguramiento de Calidad del Agro – AGROCALIDAD","City":null,"State":"Quito","Country":"Ecuador","AffiliationDisplay":"Agencia Ecuatoriana de Aseguramiento de Calidad del Agro – AGROCALIDAD, Quito, Ecuador"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"084cbe14-06d8-4516-9675-0d79f84d8717","Number":3,"Affiliation":"Pan-American Foot-and-Mouth Disease Center - PANAFTOSA/PAHO","City":"Duque de Caxias","State":"Rio de Janeiro","Country":"Brazil","AffiliationDisplay":"Pan-American Foot-and-Mouth Disease Center - PANAFTOSA/PAHO, Duque de Caxias Rio de Janeiro, Brazil"}],"AuthorsHtml":"Gomez-Vazquez J1, Burbano-Enriquez A2, Sanchez-Vázquez M3, Martínez-López B1","AffiliationsHtml":"
1Center for animal disease modeling and surveillance (CADMS), University of California , Davis, Davis CA, USA
2Agencia Ecuatoriana de Aseguramiento de Calidad del Agro – AGROCALIDAD, Quito, Ecuador
3Pan-American Foot-and-Mouth Disease Center - PANAFTOSA/PAHO, Duque de Caxias Rio de Janeiro, Brazil
"},{"Title":"Evaluation of vaccination and control strategies of porcine reproductive and respiratory syndrome (PRRS) in US sow farms using an agent-based approach","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"03c5f7c9-44eb-4307-afce-ec263f51c322","Html":null,"PlainText":"Porcine reproductive and respiratory syndrome (PRRS) is responsible for severe economic losses every year in swine production systems due to the impact on sow and finishing sites. Control and eradication of the disease is challenging because of the rapid spread and the capacity of the virus to quickly mutate making the vaccine effectiveness challenging. We propose a high-resolution within-farm disease spread agent-based model to simulate the impact of PRRS on a US swine farm and evaluate the effect of intervention strategies for disease control.
Our model recreates the reproduction dynamics in a typical US sow farm, evaluates the impact of the disease in the production, and the effect of different intervention strategies for disease control (i.e. vaccination, acclimation of replacement gilts, and herd closure). Our model is parametrized based on literature review and real-world PRRS outbreaks and production parameters goals. For parameters with high uncertainty, we evaluated our model using a global sensitivity analysis framework based on random forest and regression trees, which estimates the influence of different combinations of parameters on the model outcomes.
Using this model, we evaluate the impact of the disease under different scenarios. The expected cumulative sow incidence in our model ranged from 6.3% to 42%. Herd closure was the most influential intervention in our model, reducing the cumulative incidence of sows by 60% and the time to disease elimination by 46% when implemented. Other parameters with high influence included the vaccine efficacy and the probability of introduction.
Our model highlights the importance of a better understanding of the circulating viral strains and the vaccine development efforts when interventions such as herd closure cannot be implemented. We believe that our modeling framework enables better understanding and hypothesis testing about transmission dynamics and supports the implementation interventions to advance with PRRS prevention and control.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"03c5f7c9-44eb-4307-afce-ec263f51c322","Title":"Mr.","FirstName":"Jose Pablo","LastName":"Gomez-Vazquez","Position":"Postdoctoral Scholar","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gomez-Vazquez J"},{"PresentationId":"03c5f7c9-44eb-4307-afce-ec263f51c322","Title":"Dr.","FirstName":"Maria Jose","LastName":"Clavijo","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Clavijo M"},{"PresentationId":"03c5f7c9-44eb-4307-afce-ec263f51c322","Title":"Dr.","FirstName":"Xin","LastName":"Liu","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Liu X"},{"PresentationId":"03c5f7c9-44eb-4307-afce-ec263f51c322","Title":"Professor","FirstName":"Beatriz","LastName":"Martinez-Lopez","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Martinez-Lopez B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"03c5f7c9-44eb-4307-afce-ec263f51c322","Number":1,"Affiliation":"Center for Animal Disease Modeling and Surveillance (CADMS), University of California Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Center for Animal Disease Modeling and Surveillance (CADMS), University of California Davis, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"03c5f7c9-44eb-4307-afce-ec263f51c322","Number":2,"Affiliation":"Veterinary Diagnostic and Population Animal Medicine, Iowa State University","City":"Ames","State":"Iowa","Country":"USA","AffiliationDisplay":"Veterinary Diagnostic and Population Animal Medicine, Iowa State University, Ames Iowa, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"03c5f7c9-44eb-4307-afce-ec263f51c322","Number":3,"Affiliation":"Department of Computer Science, University of California, Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Department of Computer Science, University of California, Davis, Davis CA, USA"}],"AuthorsHtml":"Gomez-Vazquez J1, Clavijo M2, Liu X3, Martinez-Lopez B1","AffiliationsHtml":"
1Center for Animal Disease Modeling and Surveillance (CADMS), University of California Davis, Davis CA, USA
2Veterinary Diagnostic and Population Animal Medicine, Iowa State University, Ames Iowa, USA
3Department of Computer Science, University of California, Davis, Davis CA, USA
"}],"DisplayName":"Jose Pablo Gomez-Vazquez","TimeDisplay":null},{"ContactId":"26e068bb-f3b5-4d1d-8821-c6c8d3c7c9db","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Carlos","LastName":"Gonzalez-Crespo","Position":"","Organization":"Center for Animal Disease Modeling and SurveillanDepartment Of Medicine & Epidemiology, University Of California, Davis","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Suitability modelling of Ornithodoros spp. in California and overlapping with domestic-feral pig populations to identify ASFV high-risk areas under current and future climatic conditions.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3e92c612-9813-45ad-825f-6027761ab0ac","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.D - Risk Assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Html":null,"PlainText":"The current re-emergence and global expansion of African swine fever virus (ASFV) is an unprecedented threat for the entire swine industry. If introduced in the United States (U.S.) ASFV could be transmitted either between Sus scrofa (domestic, feral, and wild swine) or by soft ticks of the genus Ornithodoros. The role of ticks is usually not very important for ASFV transmission outside Africa, but it could challenge the rapid ASF control and eradication. Several species of Ornithodoros are present in California, thus, knowledge of vector-host spatial co-occurrence is necessary in order to prevent and mitigate the potential risk of ASFV establishment at the domestic-feral pig interface in the U.S.

Recorded presence of Ornithodoros coriaceus, O. hermsi and O. parkeri was retrieved from literature searches and the GBIF network database. Species distribution modeling (Maximum entropy, Maxent, and Random Forest) were used to predict their current distribution based on environmental conditions, current climatic trends and future projected climate changes (2061-2080). The individual models (AUC > 0.8) were combined and the suitable area was selected based on the true statistic skill as threshold. Data from feral swine suitability and outdoor-raised pig operations were used to ascertain the spatial co-occurrence of hosts and tick vectors.

The results predicted previously unrecognized areas of California with suitable habitat for the genus Ornithodoros and identifies 40,455 km2 of high-risk areas for ASFV, where the suitable habitats of pigs and the tick vector overlap. Moreover, global climate models predicted changes in the distribution of suitable habitat for Ornithodoros spp., and 295.34 km2 of new vector-host co-occurrence areas with an increased associated risk.

Our predictions are useful to support risk-based decision-making for targeting ASF surveillance efforts for the genus Ornithodoros in areas of high risk in California, particularly if ASF is potentially introduced in the U.S.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Title":"Dr.","FirstName":"Carlos","LastName":"Gonzalez-Crespo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gonzalez-Crespo C"},{"PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Title":"Dr.","FirstName":"Kyuyoung ","LastName":"Lee","Position":"2","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Lee K"},{"PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Title":"Dr.","FirstName":"Laura ","LastName":"Patterson","Position":"3","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Patterson L"},{"PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Title":"Dr.","FirstName":"Jaber ","LastName":"Belkhiria","Position":"4","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Belkhiria J"},{"PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Title":"Dr.","FirstName":"Alda F.A.","LastName":"Pires","Position":"5","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Pires A"},{"PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Title":"Dr.","FirstName":"Beatriz","LastName":"Martínez-López","Position":"6","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Martínez-López B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Number":1,"Affiliation":"Center for Animal Disease Modeling and SurveillanDepartment Of Medicine & Epidemiology, University Of California, Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Center for Animal Disease Modeling and SurveillanDepartment Of Medicine & Epidemiology, University Of California, Davis, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Number":2,"Affiliation":"Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis","City":"Davis","State":"CA","Country":"Estados Unidos","AffiliationDisplay":"Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis CA, Estados Unidos"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7589627-3b87-495c-81f1-e76b3714b8ae","Number":3,"Affiliation":"One Health Institute, School of Veterinary Medicine, University of California, Davis","City":"Davis","State":"CA","Country":"Estados Unidos","AffiliationDisplay":"One Health Institute, School of Veterinary Medicine, University of California, Davis, Davis CA, Estados Unidos"}],"AuthorsHtml":"Gonzalez-Crespo C1, Lee K1, Patterson L2, Belkhiria J3, Pires A2, Martínez-López B1","AffiliationsHtml":"
1Center for Animal Disease Modeling and SurveillanDepartment Of Medicine & Epidemiology, University Of California, Davis, Davis CA, USA
2Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis CA, Estados Unidos
3One Health Institute, School of Veterinary Medicine, University of California, Davis, Davis CA, Estados Unidos
"},{"Title":"Assessment of management strategies to control potential Chronic Wasting Disease outbreaks in California using an Agent-based epidemiological model.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1db0e2e6-583d-4c21-9829-33b2dd931743","Html":null,"PlainText":"Chronic wasting disease (CWD) is a neurodegenerative disease of cervids caused by prions which affects white-tailed deer (Odocoileus virginianus), mule deer (Odocoileus hemionus), Rocky Mountain elk (Cervus elaphus nelsoni), moose (Alces alces shirasi), and reindeer (Rangifer tarandus). The disease spreads through direct contact with infected individuals or indirect contact with infectious material (e.g., fluids, feces, and tissues of infected animals). First recognized in Colorado in 1967, CWD currently affects captive and free-ranging cervids in 29 states of the United States, 4 Canadian provinces, Norway, Sweden, Finland, and South Korea. When unmanaged in free-ranging populations, CWD expands geographically and prevalence increases, leading to impacts on infected cervid populations by lowering adult survival rates and destabilizing population dynamics. So far, CWD has not been detected in California and a surveillance program has been in place since 1999, testing over 5,500 deer and elk. There is still concern that CWD can potentially be introduced in California by various means e.g., improper transport or disposal of contaminated carcasses.

By incorporating real mule deer population data, this study presents a 30-year epidemiological simulation of the expansion of theoretical CWD outbreaks in California, using an agent-based model approach. Several scenarios were modeled based on different deer densities and proposed management measures: (1) surveillance for initial detection, (2) initial response to the first detection, (3) harvest management and targeting and (4) carcass management.

The model results assessed the effectiveness and efficiency of proposed management measures and strategies, evaluating the necessary conditions, the impact of direct and indirect transmissions, the probability of infection, and the effect on deer populations and their dynamics.

In the event of a CWD outbreak in California, the model predictions can provide managers with supported risk-based strategies to target key surveillance and management efforts to reduce CWD prevalence and its spread to new areas.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1db0e2e6-583d-4c21-9829-33b2dd931743","Title":"Dr.","FirstName":"Carlos","LastName":"Gonzalez-Crespo","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gonzalez-Crespo C"},{"PresentationId":"1db0e2e6-583d-4c21-9829-33b2dd931743","Title":"Dr.","FirstName":"Brandon","LastName":"Munk","Position":"2","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Munk B"},{"PresentationId":"1db0e2e6-583d-4c21-9829-33b2dd931743","Title":"Dr.","FirstName":"Leila","LastName":"Knoll","Position":"3","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Knoll L"},{"PresentationId":"1db0e2e6-583d-4c21-9829-33b2dd931743","Title":"Dr.","FirstName":"Alexander","LastName":"Heeren","Position":"4","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Heeren A"},{"PresentationId":"1db0e2e6-583d-4c21-9829-33b2dd931743","Title":null,"FirstName":"Linell","LastName":"Hansen","Position":"5","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Hansen L"},{"PresentationId":"1db0e2e6-583d-4c21-9829-33b2dd931743","Title":"Dr.","FirstName":"Beatriz","LastName":"Martínez-López","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Martínez-López B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1db0e2e6-583d-4c21-9829-33b2dd931743","Number":1,"Affiliation":"Center for Animal Disease Modeling and SurveillanDepartment Of Medicine & Epidemiology, University Of California, Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Center for Animal Disease Modeling and SurveillanDepartment Of Medicine & Epidemiology, University Of California, Davis, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1db0e2e6-583d-4c21-9829-33b2dd931743","Number":2,"Affiliation":"California Department of Fish and Wildlife, Wildlife Investigations Laboratory","City":"Rancho Cordova, 94570","State":"CA","Country":"USA","AffiliationDisplay":"California Department of Fish and Wildlife, Wildlife Investigations Laboratory, Rancho Cordova, 94570 CA, USA"}],"AuthorsHtml":"Gonzalez-Crespo C1, Munk B2, Knoll L1, Heeren A2, Hansen L2, Martínez-López B1","AffiliationsHtml":"
1Center for Animal Disease Modeling and SurveillanDepartment Of Medicine & Epidemiology, University Of California, Davis, Davis CA, USA
2California Department of Fish and Wildlife, Wildlife Investigations Laboratory, Rancho Cordova, 94570 CA, USA
"}],"DisplayName":"Carlos Gonzalez-Crespo","TimeDisplay":null},{"ContactId":"4f2cdb32-ffc4-4102-9ae9-c3abe90481f8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kylee","LastName":"Graham","Position":"","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1c54588000f84c76837bff19dbe624ed","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Co-occurrence of Sarcoptic Mange Lesions in Prince Edward Island Red Foxes (Vulpes vulpes) using Epidemiological Networking and Pattern Analysis Tools","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Html":null,"PlainText":"Sarcoptic mange, caused by the parasitic skin mite Sarcoptes scabiei, is a disease associated with pruritis, alopecia, crusting, and in severe cases, death. From 2016 to 2018, it was the most frequently-diagnosed cause of death in Prince Edward Island (PEI) red foxes, a previously naïve population. Though sarcoptic mange has been described in over 100 mammalian species, the factors that lead to outbreaks in wildlife populations, and the variability in species and individual disease presentation, progression and severity, are poorly understood.
Objectives: This study sought to uncover patterns of lesion presentation in individuals with sarcoptic mange in a naïve, insular, North American canid population through identifying groups of individuals based on co-occurrence of lesion distribution and severity.
Materials and methods: These data were collected through necropsy examination of 29 mange positive foxes obtained from fur trappers and opportunistic submission to the Canadian Wildlife Health Cooperative from 2019-2021. Severity and distribution of lesions were determined using modified lesion schemes on pictures of lesions, and both sketched and written necropsy descriptions. Cluster, network, and factor analyses were carried out in Stata to uncover lesion patterns and groups of individuals with like presentations based on co-occurrence data.
Results: Based on distribution and severity of lesions, three groups of like individuals were presented, potentially representing different stages in disease progression. As well, lesions identified as most likely to co-occur produced two main groups, a predominantly crusted and alopecic groups, that also suggested rare presenting lesions tend to co-occur.
Conclusion: This analysis provided potential presentation patterns and progressions of sarcoptic mange lesions in red foxes and helped uncover both differences within a naïve insular population and in comparison to endemic populations. These tools could be used for characterization of other emerging wildlife diseases where experimental studies are not feasible and disease presentations are unknown.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Title":"Dr.","FirstName":"Kylee","LastName":"Graham","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Graham K"},{"PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Title":"Dr.","FirstName":"Laura","LastName":"Bourque","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Bourque L"},{"PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Title":"Dr.","FirstName":"Spencer J.","LastName":"Greenwood","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Greenwood S"},{"PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Title":"Dr.","FirstName":"Gary A.","LastName":"Conboy","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Conboy G"},{"PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Title":"Mr.","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Sanchez J"},{"PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Title":"Dr.","FirstName":"Megan E.B.","LastName":"Jones","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Jones M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Number":1,"Affiliation":"Department of Pathology and Microbiology, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Pathology and Microbiology, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Number":2,"Affiliation":"Department of Biomedical Sciences, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Biomedical Sciences, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Number":3,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bf889f64-548f-40ca-8a1a-cd8cfd91ed0f","Number":4,"Affiliation":"Canadian Wildlife Health Cooperative Atlantic Region, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Canadian Wildlife Health Cooperative Atlantic Region, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"}],"AuthorsHtml":"Graham K1, Bourque L4, Greenwood S2, Conboy G1, Sanchez J3, Jones M1","AffiliationsHtml":"
1Department of Pathology and Microbiology, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
2Department of Biomedical Sciences, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
3Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
4Canadian Wildlife Health Cooperative Atlantic Region, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
"}],"DisplayName":"Kylee Graham","TimeDisplay":null},{"ContactId":"74409003-5cb7-4ad1-bb67-65392e7b9924","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alexandra","LastName":"Green","Position":"Postdoctoral Researcher","Organization":"The University of Sydney","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f36b6b5871bf48f680884b66921596b8","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"AlexandraCGree1","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"AlexandraCGree1","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=AlexandraCGree1","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=AlexandraCGree1","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":"Alexandra has been a Postdoctoral Researcher in the Sydney School of Veterinary Science, at The University of Sydney since 2020. Her research primarily involves veterinary biostatistics, where she breaks down complex datasets to solve animal-related research problems using clinical, field, survey, veterinary practice, and production data.

Alexandra joined the APCOVE project in 2021. Her main responsibility has been coordinating the development and release of 36 e-learning modules on various competencies in veterinary epidemiology. In this role, she liaised with the module development teams, managing their time and tasks. She was also a member of the APCOVE E-learning Committee which oversaw any e-learning related issues. Additionally, she co-developed three modules on data analysis and this included recording 18 short videos, including ones for use of Microsoft Excel®, data cleaning and organisation, and descriptive analysis.

","Presentations":[{"Title":"What Australian dog owners know about canine inherited diseases","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0cb57a4-e82b-4ad8-8753-62079f423f47","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"a25d6720-3b94-4126-be3f-0fca21ad9ee5","Html":null,"PlainText":"Objective
Canine inherited diseases (CIDs) compromise the health and welfare of dogs, but some dog breeds considered less healthy by veterinarians remain a popular choice for dog owners. This study was conducted to investigate dog owners’ awareness of CIDs and the risk factors associated with gaps in their knowledge.

Materials and methods
Primarily targeting an Australian audience, an online questionnaire was conducted, comprising questions related to dog and owner demographics, dog ownership, and breed and disease. Two separate binary (y/n) outcome variables were selected for analyses: (1) dog breed standards may make some breeds of dogs prone to some diseases and (2) I am familiar with the term “canine inherited diseases”. Data were analysed with descriptive statistics alongside univariable and multivariable binomial logistic regression models.

Results
Ninety-one percent (1717/1893) of respondents believed that dog breed standards may make some breeds of dogs prone to some diseases. Respondents who were dog breeders (p<0.001) and learned about diseases through a breed club (p=0.02) were less likely to believe this to be true. By contrast, respondents who neutered their dogs (p=0.002) were more likely to believe this to be true.

Seventy percent (1323/1893) of respondents were familiar with the term “canine inherited disease”. Respondents who were dog breeders (p<0.001), had an animal-related career (p<0.001) and had learned about diseases through a breed club (p=0.003) were more likely to be familiar with the term. However, respondents aged 25 to 34 years were less likely to be familiar with this term than those 65 and older (p=0.007).

Conclusion
Through identifying deficiencies in owners’ knowledge and the groups of people who are most susceptible, strategies can be designed to improve and implement education on CIDs, leading to the enhancement of the health and welfare of companion dogs.

Keywords
Dog; canine inherited diseases; Australia; knowledge

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a25d6720-3b94-4126-be3f-0fca21ad9ee5","Title":"Dr.","FirstName":"Alexandra","LastName":"Green","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Green A"},{"PresentationId":"a25d6720-3b94-4126-be3f-0fca21ad9ee5","Title":"Dr","FirstName":"Kendy","LastName":"Teng","Position":"2","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Teng K"},{"PresentationId":"a25d6720-3b94-4126-be3f-0fca21ad9ee5","Title":"Prof","FirstName":"Paul","LastName":"McGreevy","Position":"3","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"McGreevy P"},{"PresentationId":"a25d6720-3b94-4126-be3f-0fca21ad9ee5","Title":"A/Prof","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"4","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Toribio J"},{"PresentationId":"a25d6720-3b94-4126-be3f-0fca21ad9ee5","Title":"A/Prof","FirstName":"Navneet","LastName":"Dhand","Position":"5","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Dhand N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a25d6720-3b94-4126-be3f-0fca21ad9ee5","Number":1,"Affiliation":"Sydney School of Veterinary Science, The University Of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, The University Of Sydney, Camden NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a25d6720-3b94-4126-be3f-0fca21ad9ee5","Number":2,"Affiliation":"School of Veterinary Medicine, National Taiwan University","City":"Taipei City","State":null,"Country":"Taiwan","AffiliationDisplay":"School of Veterinary Medicine, National Taiwan University, Taipei City, Taiwan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a25d6720-3b94-4126-be3f-0fca21ad9ee5","Number":3,"Affiliation":"Faculty of Science, Agriculture, Business and Law, University of New England","City":"Armidale","State":"NSW","Country":"Australia","AffiliationDisplay":"Faculty of Science, Agriculture, Business and Law, University of New England, Armidale NSW, Australia"}],"AuthorsHtml":"Green A1, Teng K2, McGreevy P3, Toribio J1, Dhand N1","AffiliationsHtml":"
1Sydney School of Veterinary Science, The University Of Sydney, Camden NSW, Australia
2School of Veterinary Medicine, National Taiwan University, Taipei City, Taiwan
3Faculty of Science, Agriculture, Business and Law, University of New England, Armidale NSW, Australia
"},{"Title":"How to herd ‘wild’ cats: Lessons learnt when designing field epidemiology e-learning modules with multiple contributors.","Bio":"Alexandra has been a Postdoctoral Researcher in the Sydney School of Veterinary Science, at The University of Sydney since 2020. Her research primarily involves veterinary biostatistics, where she breaks down complex datasets to solve animal-related research problems using clinical, field, survey, veterinary practice, and production data. \r\n\r\nAlexandra joined the APCOVE project in 2021. Her main responsibility has been coordinating the development and release of 36 e-learning modules on various competencies in veterinary epidemiology. In this role, she liaised with the module development teams, managing their time and tasks. She was also a member of the APCOVE E-learning Committee which oversaw any e-learning related issues. Additionally, she co-developed three modules on data analysis and this included recording 18 short videos, including ones for use of Microsoft Excel®, data cleaning and organisation, and descriptive analysis. \r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"e3424a2f-bb76-4ed8-875a-a9e1c22c23b3","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"5_Special Session Part 1: Strengthening Veterinary Epidemiology and One Health Capacity","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Html":null,"PlainText":"Field epidemiology training has traditionally been undertaken face-to-face. Face-to-face training is expensive, does not scale well, and requires participants to step away from their organisations, which can negatively impact the organisations' response to animal health events. E-learning modules delivered asynchronously provide a cost-effective mechanism to train large numbers of veterinarians on-the-job. In 2020 a consortium of 40-plus veterinary epidemiologists across the Asia-Pacific jointly developed 36 e-learning modules to strengthen field epidemiology capacity in the region. The modules were grouped into six key competencies: i) fundamental concepts (6 modules), ii) outbreak investigation and response (7 modules), iii) surveillance and data analysis (7 modules), iv) risk assessment and disease control (5 modules), v) One health and biosecurity (7 modules), and vi) leadership and communication (4 modules). To distribute the workload and streamline expertise, each module was created by at least three content creators including an in-country partner. This approach had a non-negligible risk that some modules may conflict, have unnecessary repetition or omissions. An e-learning committee oversaw the development of these modules using a combination of pre- and post-hoc strategies to control these risks. First, virtual workshops were held to discuss the content for each module in detail and adjust if necessary. Further, guidelines including a module template were created to standardise presentation of the content and streamline the creation of the e-learning modules. Each module was reviewed by dedicated topic and competency experts as well as by committee members to validate and harmonise format and content. In January 2022, the first cohort of trainees began working through the modules. Trainees evaluated the course at the end of each module and complete a summative assessment, the results of which, will form the basis for an evaluation of the effectiveness of e-learning modules in providing field epidemiology training. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Title":"Miss","FirstName":"Alexandra","LastName":"Green","Position":"Postdoctoral Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Green A"},{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Title":null,"FirstName":"Naomi","LastName":"Cogger","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Cogger N"},{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Title":null,"FirstName":"Annette","LastName":"Burgess","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Burgess A"},{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Title":"Dr.","FirstName":"Charles","LastName":"Caraguel","Position":"Associate Professor","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Caraguel C"},{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Title":"Ms.","FirstName":"Anke","LastName":"Wiethoelter","Position":"Senior Lecturer","Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Wiethoelter A"},{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Title":null,"FirstName":"Amanda","LastName":"Evans","Position":"Instructional Designer","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Evans A"},{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Title":"Dr","FirstName":"Jane","LastName":"Heller","Position":"Associate Professor","Affiliations":"6","IsPresenting":false,"SortOrder":7,"DisplayName":"Heller J"},{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Title":null,"FirstName":"Meg","LastName":"Vost","Position":"Project Manager","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Vost M"},{"PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Title":"Dr.","FirstName":"Navneet","LastName":"Dhand","Position":"Associate Professor In Veterinary Biostatistics And Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Dhand N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Number":1,"Affiliation":"Asia Pacific Consortium of Veterinary Epidemiology, Sydney School of Veterinary Science, The University of Sydney","City":"Sydney","State":"NSW","Country":"Australia","AffiliationDisplay":"Asia Pacific Consortium of Veterinary Epidemiology, Sydney School of Veterinary Science, The University of Sydney, Sydney NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Number":2,"Affiliation":"Epicentre, School of Veterinary Sciences, Massey University","City":"Palmerston North","State":null,"Country":"New Zealand","AffiliationDisplay":"Epicentre, School of Veterinary Sciences, Massey University, Palmerston North, New Zealand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Number":3,"Affiliation":"Faculty of Medicine and Health, The University of Sydney","City":"Sydney","State":"NSW","Country":"Australia","AffiliationDisplay":"Faculty of Medicine and Health, The University of Sydney, Sydney NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Number":4,"Affiliation":"School of Animal and Veterinary Science, Faculty of Sciences, Engineering and Technology, The University of Adelaide","City":"Adelaide","State":"SA","Country":"Australia","AffiliationDisplay":"School of Animal and Veterinary Science, Faculty of Sciences, Engineering and Technology, The University of Adelaide, Adelaide SA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Number":5,"Affiliation":"Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne","City":"Melbourne","State":"VIC","Country":"Australia","AffiliationDisplay":"Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne, Melbourne VIC, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab518b97-8d1e-411f-84c7-89b1f30afa4c","Number":6,"Affiliation":"Graham Centre, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"Graham Centre, Charles Sturt University, Wagga Wagga NSW, Australia"}],"AuthorsHtml":"Green A1, Cogger N2, Burgess A3, Caraguel C4, Wiethoelter A5, Evans A1, Heller J6, Vost M1, Dhand N1","AffiliationsHtml":"
1Asia Pacific Consortium of Veterinary Epidemiology, Sydney School of Veterinary Science, The University of Sydney, Sydney NSW, Australia
2Epicentre, School of Veterinary Sciences, Massey University, Palmerston North, New Zealand
3Faculty of Medicine and Health, The University of Sydney, Sydney NSW, Australia
4School of Animal and Veterinary Science, Faculty of Sciences, Engineering and Technology, The University of Adelaide, Adelaide SA, Australia
5Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Melbourne, Melbourne VIC, Australia
6Graham Centre, Charles Sturt University, Wagga Wagga NSW, Australia
"}],"DisplayName":"Alexandra Green","TimeDisplay":null},{"ContactId":"f2fc07d2-0496-4c4b-a45c-b1dce6f589b4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Matthias","LastName":"Greiner","Position":"Head Of Department","Organization":"German Federal Institute for Risk Assessment (BfR) and University of Veterinary Medicine Hannover, Foundation","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a3400e05504042c09ddc5488b2a1b071","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Analysis of German BSE surveillance data: Estimating prevalence of cases versus number of infected, but non-detected cattle to assess confidence in freedom from infection","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Html":null,"PlainText":"Objectives: Quantitative risk assessments for Bovine Spongiform Encephalopathy (BSE) necessitate estimates for key parameters such as the prevalence of infection, the probability of absence of infection in defined birth cohorts, and the numbers of BSE-infected, but non-detected cattle entering the food chain.
Material and methods: We estimated three key parameters with adjustment for misclassification using the German BSE surveillance data using a Gompertz model for latent (i.e., unobserved) age-dependent detection probabilities and a Poisson response model for the number of BSE cases for birth cohorts 1999 to 2015. The models were combined in a Bayesian framework.
Results: We estimated the median true BSE prevalence between 3.74 and 0.216 cases per 100,000 animals for the birth cohorts 1990 to 2001 and observed a peak for the 1996 birth cohort with a point estimate of 16.41 cases per 100,000 cattle. For birth cohorts ranging from 2002 to 2013, the estimated median prevalence was below one case per 100,000 heads. The calculated confidence in freedom from disease (design prevalence 1 in 100,000) was above 99.5% for the birth cohorts 2002 to 2006.
Conclusion: In conclusion, BSE surveillance in the healthy slaughtered cattle chain was extremely sensitive at the time, when BSE repeatedly occurred in Germany (2000-2009), because the entry of BSE-infected cattle into the food chain could virtually be prevented by the extensive surveillance program during these years and until 2015 (estimated non-detected cases/100.000 [95% credible interval] in 2000, 2009, and 2015 are 0.64 [0.5,0.8], 0.05 [0.01,0.14], and 0.19 [0.05,0.61], respectively).
Key words: BSE, risk assessment, disease freedom, non-detects, Bayesian model","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2fc99fb692df4e7ca1071cbd69c246ee","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Title":"Mr.","FirstName":"Matthias","LastName":"Greiner","Position":"Head Of Department","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Greiner M"},{"PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Title":"Dr.","FirstName":"Thomas","LastName":"Selhorst","Position":"Senior Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Selhorst T"},{"PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Title":"PD Dr","FirstName":"Anne","LastName":"Balkema-Buschmann","Position":"senior scientist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Balkema-Buschmann A"},{"PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Title":"Dr","FirstName":"Weley","LastName":"Johnson","Position":"senior scientist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Johnson W"},{"PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Title":"PD Dr","FirstName":"Christine","LastName":"Müller-Graf","Position":"Head of research unit","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Müller-Graf C"},{"PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Title":"Prof.","FirstName":"Franz-Josef","LastName":"Conraths","Position":"Head of Department","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Conraths F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Number":1,"Affiliation":"Bundesinstitut für Risikobewertung","City":"Berlin","State":"Berlin","Country":"Germany","AffiliationDisplay":"Bundesinstitut für Risikobewertung, Berlin Berlin, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Number":2,"Affiliation":"Friedrich-Loeffler Institut","City":"Greifswald, Insel Riems","State":"Mecklenburg Vorpommern","Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler Institut, Greifswald, Insel Riems Mecklenburg Vorpommern, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b5bdab66-d00c-4315-9aae-bc60e0eb1767","Number":3,"Affiliation":"University of California","City":"Irvine","State":"California","Country":"USA","AffiliationDisplay":"University of California, Irvine California, USA"}],"AuthorsHtml":"Greiner M1, Selhorst T1, Balkema-Buschmann A2, Johnson W3, Müller-Graf C1, Conraths F2","AffiliationsHtml":"
1Bundesinstitut für Risikobewertung, Berlin Berlin, Germany
2Friedrich-Loeffler Institut, Greifswald, Insel Riems Mecklenburg Vorpommern, Germany
3University of California, Irvine California, USA
"}],"DisplayName":"Matthias Greiner","TimeDisplay":null},{"ContactId":"762598e5-5e7f-41d9-86da-12d82a026086","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"John","LastName":"Grewar","Position":"","Organization":"South African Equine Health and Protocols NPC","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c00e6399506f449eb9c638c7f9950f50","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"An entry risk assessment of African horse sickness virus into the controlled area of South Africa through the legal movement of equids","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"770ebe47-1f48-44bc-92c3-0bcde88690e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.C - Risk Assessment","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Html":null,"PlainText":"Objective: South Africa is endemic for African horse sickness (AHS), an important health and trade-sensitive disease of equids. The country is zoned with movement control measures facilitating an AHS-free controlled area in the south-west. Our objective was to quantitatively establish the risk of entry of AHS virus into the AHS controlled area through the legal movement of horses. Outcomes were subcategorised to evaluate movement pathway, temporal, and spatial differences in risk. A ‘no-control’ scenario allowed for evaluation of the impact of control measures.

Materials and methods: Using 2019 movement and AHS case data, and country-wide census data, a stochastic model was developed establishing local municipality entry risk at monthly intervals. The model was developed in R with 10 000 iterations. Risk was aggregated to annual probability of entry. Sensitivity analysis evaluated model variables on their impact on the conditional means of the probability of entry.

Results: The median monthly probability of entry of AHSV into the controlled area ranged from 0.75% (June) to 5.73% (February) for all movements, with annual median probability of entry estimated at 20.21% (95% CI: 15.89%-28.89%). Control measures decrease annual risk by a factor of 2.8.

Conclusion: The annual risk of entry compared well with the annual probability of introduction of AHS into the controlled area, which is ~10% based on the last 20 years of outbreak data. Direct non-quarantine movements made up most movements and accounted for most of the risk of entry. Even though reported case totals were zero throughout 2019 in the Western Cape, horses originating from this province still pose a risk that should not be ignored. Not only do the outcomes of this study inform domestic control, but they can also be used for scientifically justified trade decision making, since in-country movement control forms a key component of export protocols.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Title":"Dr.","FirstName":"John","LastName":"Grewar","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Grewar J"},{"PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Title":"Dr","FirstName":"Johann","LastName":"Kotze","Position":"Veterinarian","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kotze J"},{"PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Title":"Dr","FirstName":"Beverley","LastName":"Parker","Position":"Veterinary Liaison","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Parker B"},{"PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Title":"Dr","FirstName":"Lesley","LastName":"van Helden","Position":"State Veterinarian: Epidemiology","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"van Helden L"},{"PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Title":"Dr","FirstName":"Camilla","LastName":"Weyer","Position":"Veterinarian","Affiliations":"1,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Weyer C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Number":1,"Affiliation":"South African Equine Health and Protocols NPC ","City":"Paardevlei","State":"Western Cape","Country":"South Africa","AffiliationDisplay":"South African Equine Health and Protocols NPC , Paardevlei Western Cape, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Number":2,"Affiliation":"Epidemiology Section, Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria","City":"Onderstepoort","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Epidemiology Section, Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Number":3,"Affiliation":"Western Cape Department of Agriculture, Veterinary Services","City":"Elsenburg","State":"Western Cape","Country":"South Africa","AffiliationDisplay":"Western Cape Department of Agriculture, Veterinary Services, Elsenburg Western Cape, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5485e9ea-5d8e-4d4f-923a-bb34edb0a7d3","Number":4,"Affiliation":"Department of Tropical Diseases, Faculty of Veterinary Science, University of Pretoria","City":"Onderstepoort","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort Gauteng, South Africa"}],"AuthorsHtml":"Grewar J1,2, Kotze J2, Parker B1, van Helden L3, Weyer C1,4","AffiliationsHtml":"
1South African Equine Health and Protocols NPC , Paardevlei Western Cape, South Africa
2Epidemiology Section, Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Onderstepoort Gauteng, South Africa
3Western Cape Department of Agriculture, Veterinary Services, Elsenburg Western Cape, South Africa
4Department of Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort Gauteng, South Africa
"}],"DisplayName":"John Grewar","TimeDisplay":null},{"ContactId":"7ef3aed9-fd51-482b-8545-d14c14e7a3ce","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Karen","LastName":"Gruszynski","Position":"Associate Professor","Organization":"Lincoln Memorial University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Infectious Diseases of Cats in the States of Kentucky, Tennessee, and Virginia (United States)","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"70720592-d7cc-438f-85e0-eb30988ff1f0","Html":null,"PlainText":"Objective: Cats are affected by a number of feline-specific or zoonotic diseases. The goal of this project was to estimate the prevalence of various pathogens in shelter and community cats from the US states of Kentucky, Tennessee, and Virginia and how these disease could potentially impact feline or human health.

Methods: Blood and feces were collected from community cats and shelter cats brought to Lincoln Memorial University to be sterilized. Blood samples were submitted to IDEXX to run Anemia PCR Panel which tests for tests for multiple pathogens. CBCs and bloods smears were also performed. Fecal samples underwent centrifugal flotation using sheather's sucrose. Parasites were identified using morphological criteria. Ectoparasites were also collected from cats.

Results: Mycoplasmas (11/63, 17.5%, 95%CI: 9.1-29.1%) were the most commonly identified bloodborne pathogen. Bartonella spp. (2/63, 3.2%, 95%CI: 0.4-11.0%), FeLV (1/63, 1.6% 95%CI: 0.0-8.5%) , and FIV (1/63, 1.6%, 95%CI: 0.0-8.5%) were also identified, but only in community cats. Toxocara cati (14/75, 18.7%, 95%CI: 10.6-29.3%). Cystoisospora spp. (6/75, 8.0%, 95%CI: 3.0-16.6%), Dipylidium caninum (5/76, 6.6%, 95%CI: 2.2-14.7%), Ancylostoma tubiforme (4/75, 5.3%, 95%CI: 1.5-13.1%) were also identified. Toxocara cati and Ancylostoma tubiforme were only found in community cats.

Conclusion: The prevalence was generally low, but community cats had a wider variety of pathogens detected than shelter cats which is not too surprising since some shelters test for feline viruses and some of the shelter cats were treated for internal parasites prior to testing. It is also important to note that many of the cats were community cats and could potentially pose a health risk to people. The findings also need to be evaluated in light of CBC and blood smear results to understand how cat health has been impacted by pathogens. Testing of ectoparasites would also determine if prevalence for vector-borne diseases could potentially be underestimated.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"70720592-d7cc-438f-85e0-eb30988ff1f0","Title":"Dr.","FirstName":"Karen","LastName":"Gruszynski","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gruszynski K"},{"PresentationId":"70720592-d7cc-438f-85e0-eb30988ff1f0","Title":"Dr.","FirstName":"Vina","LastName":"Faulkner","Position":"Professor of Virology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Faulkner V"},{"PresentationId":"70720592-d7cc-438f-85e0-eb30988ff1f0","Title":"Dr.","FirstName":"Matthew","LastName":"Marcum","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Marcum M"},{"PresentationId":"70720592-d7cc-438f-85e0-eb30988ff1f0","Title":null,"FirstName":"Katherine","LastName":"Kirkendall","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Kirkendall K"},{"PresentationId":"70720592-d7cc-438f-85e0-eb30988ff1f0","Title":null,"FirstName":"Madison","LastName":"Criswell","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Criswell M"},{"PresentationId":"70720592-d7cc-438f-85e0-eb30988ff1f0","Title":"Dr.","FirstName":"Dawn","LastName":"Spangler","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Spangler D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70720592-d7cc-438f-85e0-eb30988ff1f0","Number":1,"Affiliation":"Lincoln Memorial University","City":"Harrogate","State":"TN","Country":"USA","AffiliationDisplay":"Lincoln Memorial University, Harrogate TN, USA"}],"AuthorsHtml":"Gruszynski K1, Faulkner V1, Marcum M1, Kirkendall K1, Criswell M1, Spangler D1","AffiliationsHtml":"
1Lincoln Memorial University, Harrogate TN, USA
"}],"DisplayName":"Karen Gruszynski","TimeDisplay":null},{"ContactId":"cdb80bd5-ccc2-4227-be22-4c570b2b2171","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Suman Das","LastName":"Gupta","Position":"Post-doctoral Research Fellow","Organization":"The University of Queensland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Summary of culture and antimicrobial susceptibility results from bovine milk samples submitted to veterinary diagnostic laboratories in Eastern Australia from 2015 - 2019","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"01f373bf-65f6-442c-ae5a-306c2b2029c1","Html":null,"PlainText":"1. Objectives: The objectives of this study were to: (i) describe the mastitis pathogens isolated from bovine milk samples submitted to four veterinary diagnostic laboratories in Australia between 2015 and 2019, (ii) determine the isolation pattern, and (iii) summarise the antimicrobial susceptibility data available for the most common mastitis causing pathogens.

2. Materials and methods: A retrospective cross-sectional study was conducted using samples (N=21,701) submitted between January 2015 and December 2019. A descriptive analysis was performed summarising mastitis causing pathogens by year, season, and dairy region. Logistic regression models were developed to explore the effects of season, dairy region and year on a sample being culture positive for individual pathogens. One-way random effect models were employed to assess the correlation of pathogen occurrence and postcode of dairy farms by estimating the intra-class correlation (ICC). In addition, the results of antimicrobial susceptibility testing of the main mastitis-causing bacterial pathogens were summarised.

3. Results: Of the 21,701 submitted samples, 50.7% (n=11,006) had growth for at least one significant pathogen; mixed/contaminated growth was reported for 22.6% (n=4,913) and no growth for 26.6% (n=5,782) samples. The most frequently isolated mastitis-causing pathogens included Streptococcus uberis (41.2%, 95% Confidence Interval (CI): 40.3-42.0), Staphylococcus aureus (23.5%, 95% CI: 22.8-24.3), Escherichia coli (8.0%, 95% CI: 7.5-8.5), Streptococcus dysgalactiae (6.6%, 95% CI: 6.1-7.0) and Corynebacterium bovis (5.7%, 95% CI: 5.3-6.1). No significant effects of season, dairy region and year on a sample being culture positive for individual pathogens was observed. We identified significant clustering of a sample being positive for Staphylococcus aureus (ICC=0.42, 95% CI: 0.32-0.51, p<0.001 and Streptococcus uberis (ICC=0.88, 95% CI: 0.86-0.91, p<0.001). The major mastitis-causing pathogens demonstrated high antimicrobial susceptibility for a range of antimicrobials.

4. Conclusion: Our results can be used to streamline and improve mastitis management and treatment decisions by dairy stakeholders.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"01f373bf-65f6-442c-ae5a-306c2b2029c1","Title":"Dr.","FirstName":"Suman Das","LastName":"Gupta","Position":"Post-doctoral Research Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gupta S"},{"PresentationId":"01f373bf-65f6-442c-ae5a-306c2b2029c1","Title":"Dr","FirstName":"Caitlin","LastName":"Wood","Position":"Post-doctoral Research Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Wood C"},{"PresentationId":"01f373bf-65f6-442c-ae5a-306c2b2029c1","Title":null,"FirstName":"Joanne L.","LastName":"Mollinger","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mollinger J"},{"PresentationId":"01f373bf-65f6-442c-ae5a-306c2b2029c1","Title":null,"FirstName":null,"LastName":"UQ Consortium","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"UQ Consortium"},{"PresentationId":"01f373bf-65f6-442c-ae5a-306c2b2029c1","Title":"Dr","FirstName":"Joerg","LastName":"Henning","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Henning J"},{"PresentationId":"01f373bf-65f6-442c-ae5a-306c2b2029c1","Title":"Dr","FirstName":"Justine S.","LastName":"Gibson","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Gibson J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"01f373bf-65f6-442c-ae5a-306c2b2029c1","Number":1,"Affiliation":"School of Veterinary Science, The University of Queensland","City":"Gatton","State":"QLD","Country":"Australia","AffiliationDisplay":"School of Veterinary Science, The University of Queensland, Gatton QLD, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"01f373bf-65f6-442c-ae5a-306c2b2029c1","Number":2,"Affiliation":"Department of Agriculture and Fisheries, Health & Food Science Precinct","City":"Coopers Plains","State":"Queensland","Country":"Australia","AffiliationDisplay":"Department of Agriculture and Fisheries, Health & Food Science Precinct, Coopers Plains Queensland, Australia"}],"AuthorsHtml":"Gupta S1, Wood C1, Mollinger J2, UQ Consortium1, Henning J1, Gibson J1","AffiliationsHtml":"
1School of Veterinary Science, The University of Queensland, Gatton QLD, Australia
2Department of Agriculture and Fisheries, Health & Food Science Precinct, Coopers Plains Queensland, Australia
"},{"Title":"What selection criteria can we rely on in admission decisions to the Bachelor of Veterinary Science program?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c9a2d06-6c43-4fa6-9125-05c81bba4053","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.D - Enhanced Veterinary Education / Evidenced-based Veterinary Medicine","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"50e99cd9-b63e-40c4-843a-71de8d277cc8","Html":null,"PlainText":"1. Objectives: The objective of this research was to evaluate the usefulness of the Situational Judgement Test (SJT) as non-academic selection criteria for the admission of applicants into the University of Queensland (UQ) Bachelor of Veterinary Science (BVSc) program.
2. Materials and methods: The following datasets were used in the analysis: i) SJT data of admitted and non-admitted applicants to the UQ BVSc program, ii) academic performance data of admitted and non-admitted applicants used in the selection process of applicants for the UQ BVSc program, and iii) field work and academic performance data of admitted BVSc students. All datasets were merged into a single dataset. Descriptive statistics of SJT scores of admitted and non-admitted applicants were produced and compared for age, sex, socio-economic status and living location. Correlations between SJT scores and academic admission criteria were calculated. Using logistic regression models, we estimated predicted probabilities of performance of BVSc students during field work based on SJT scores.
3. Results: Female and older students performed better in the SJT compared to male and younger students. As expected, the correlation between SJT scores and academic performance was poor. For higher SJT scores, the predicted probability of performing better during field works was slightly higher (although not significant at p<0.5). A rubric is recommended for future admission to the UQ BVSc program with weights allocated for academic and non-academic performance and ranges of SJT and academic performance parameters to be used (rather than single cut-offs).
4. Conclusion: We conclude that applicants with excellent SJT scores, but marginally lower academic ranks should not be excluded from the BVSc program.

Keywords: admission, Bachelor of Veterinary Science program, demographics, Situational Judgement Test
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"50e99cd9-b63e-40c4-843a-71de8d277cc8","Title":"Dr.","FirstName":"Suman Das","LastName":"Gupta","Position":"Post-doctoral Research Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gupta S"},{"PresentationId":"50e99cd9-b63e-40c4-843a-71de8d277cc8","Title":"Dr","FirstName":"Joerg","LastName":"Henning","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Henning J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"50e99cd9-b63e-40c4-843a-71de8d277cc8","Number":1,"Affiliation":"School of Veterinary Science, the University of Queensland","City":"Gatton","State":"QLD","Country":"Australia","AffiliationDisplay":"School of Veterinary Science, the University of Queensland, Gatton QLD, Australia"}],"AuthorsHtml":"Gupta S1, Henning J1","AffiliationsHtml":"
1School of Veterinary Science, the University of Queensland, Gatton QLD, Australia
"},{"Title":"Being insured promotes riskier behaviour – how animal health interventions for village chickens influence farmers’ perceptions on the prevention of poultry diseases","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"59a6345c-0a5e-4145-929d-90dd09b5ca21","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Html":null,"PlainText":"1. Objectives: The objective of this research was to evaluate farmers’ perceptions before and after interventions were introduced to improve health of village chickens.
2. Materials and methods: A 12-month intervention study was conducted in Myanmar to overcome constraints to village chicken production. Interventions included Newcastle disease (ND) vaccination and improved chick management. Following Health Belief Model (HBM) framework, 81 village chicken farmers were surveyed before and after interventions to determine the level of change in farmers’ knowledge and perceptions about ND. Marginal homogeneity tests were used to compare level of change in farmers' matched responses to individual survey questions. Confirmatory factor analysis and Structural Equation Modelling were used to identify and compare HBM latent variables describing farmers’ perceptions before and after interventions.
3. Results: Interventions resulted in 33% more chicks surviving, which resulted in increased sales of birds after they had reached market age. Farmers acknowledged value of protecting birds from ND after the interventions to increase their income (p=0.0002). Farmers were also more willing to overcome barriers to vaccination (i.e. ‘catching’ birds for ND vaccinations) after the interventions (p=0.0388). Surprisingly, farmers became ‘less active’ in ensuring good biosecurity practices after the interventions: fewer farmers were willing to observe disease signs in village chickens (p<0.001) and fewer farmers buried dead birds (p<0.001). Interestingly, after interventions, fewer farmers were concerned about the risk of birds becoming infected with ND virus. The HBM component “perceived susceptibility of birds” was significantly reduced (p=0.014) after interventions: thus, less farmers were concerned about ND when using management practices associated with high risk of ND transmission (e.g. cock fights, no confinement).
4. Conclusion: Our results highlight the importance of implementing information campaigns alongside animal health interventions to ensure farmers maintain a high level of biosecurity.

Keywords: village chicken, Newcastle Disease, perception, Health Belief Model, intervention

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Title":"Dr.","FirstName":"Suman","LastName":"Gupta","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Gupta S"},{"PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Title":null,"FirstName":"Hnin","LastName":"Wai","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Wai H"},{"PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Title":null,"FirstName":"Wai","LastName":"Min","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Min W"},{"PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Title":null,"FirstName":"Soe","LastName":"Wai","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Wai S"},{"PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Title":null,"FirstName":"Kyaw","LastName":"Oo","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Oo K"},{"PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Title":"Dr","FirstName":"Joerg","LastName":"Henning","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Henning J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Number":1,"Affiliation":"School of Veterinary Science, the University of Queensland","City":"Gatton","State":"QLD","Country":"Australia","AffiliationDisplay":"School of Veterinary Science, the University of Queensland, Gatton QLD, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Number":2,"Affiliation":"University of Veterinary Science","City":null,"State":"Yezin","Country":"Myanmar","AffiliationDisplay":"University of Veterinary Science, Yezin, Myanmar"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c7f07507-0b74-4468-b22f-8fd39d6a29aa","Number":3,"Affiliation":"Livestock Breeding and Veterinary Department","City":null,"State":"Nay Pyi Taw","Country":"Myanmar","AffiliationDisplay":"Livestock Breeding and Veterinary Department, Nay Pyi Taw, Myanmar"}],"AuthorsHtml":"Gupta S1, Wai H2, Min W2, Wai S2, Oo K3, Henning J1","AffiliationsHtml":"
1School of Veterinary Science, the University of Queensland, Gatton QLD, Australia
2University of Veterinary Science, Yezin, Myanmar
3Livestock Breeding and Veterinary Department, Nay Pyi Taw, Myanmar
"}],"DisplayName":"Suman Das Gupta","TimeDisplay":null},{"ContactId":"76fedfa7-aedc-46a4-b369-b6954dcc5a3b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Barr","LastName":"Hadar","Position":"Phd Candidate","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Disease patterns for Insured Cats in Sweden: Data from 2011-2016 with over 1.6 Million Cat-Years-at-Risk","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"017e6bee-ca9c-4182-8e36-72e2ffdbdfa0","Html":null,"PlainText":"Objectives
The objective of this study was to calculate disease frequency for domestic and purebred cats using comprehensive pet insurance data from Sweden to inform health promotion efforts.

Methods
A descriptive analysis of cats insured with Agria Pet Insurance in Sweden (2011-2016) was performed. Crude and direct age-standardized incidence rates of disease categories were based on veterinary care events (i.e. one or more claims for a visit to the veterinarian that exceeded the deductible) and calculated for the whole cat population and subgroups by breed, sex, and age. Disease rates were based on an exact denominator consisting of cat-year-at-risk (total time cats were insured during the period). Rate ratios were calculated, comparing domestic cats to all purebreds, and specific purebreds to all other purebreds combined.

Results
The study included over 1.6 million cat-years-at-risk (78.5% domestic cats), 18 breeds, in 26 disease categories. The most common disease categories for domestic cats were injury, digestive, whole body, skin, and lower urinary with age-adjusted incidence rates of 223 (220-226 95% CI), 186 (184-188), 171 (169-173), 143 (141-144), and 109 (107-111) cases per 10,000 cat-years-at-risk respectively. Rate ratios of domestic cats compared to all purebreds combined are 1.39 (1.35-1.43; injury), 0.61 (0.59-0.62; digestive), 0.82 (0.80-0.85; whole body), 1.19 (1.15-1.23; skin), 0.88 (0.85-0.91; lower urinary). The following purebreds have the highest rate ratios compared to other purebreds: Siberian (injury; 1.65, 1.50-1.81), Siamese (digestive; 1.58, 1.47-1.69), Burmese (whole body; 1.49, 1.30-1.70), Ocicat (skin, 1.82, 1.43-2.27), and Abbyssinian (lower urinary; 1.48, 1.22-1.78).

Conclusion
Sources of population-based cat information are scarce. This study demonstrates how pet insurance data can be used to find breed-specific differences in the incidence of various disease categories in cats. This may be of importance for breeders, pet parents and veterinarians.

Keywords
cats; pet insurance data; data analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"017e6bee-ca9c-4182-8e36-72e2ffdbdfa0","Title":"Dr.","FirstName":"Barr","LastName":"Hadar","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hadar B"},{"PresentationId":"017e6bee-ca9c-4182-8e36-72e2ffdbdfa0","Title":"Dr.","FirstName":"Brenda","LastName":"Bonnett","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Bonnett B"},{"PresentationId":"017e6bee-ca9c-4182-8e36-72e2ffdbdfa0","Title":"Dr.","FirstName":"Zvonimir","LastName":"Poljak","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Poljak Z"},{"PresentationId":"017e6bee-ca9c-4182-8e36-72e2ffdbdfa0","Title":"Ms.","FirstName":"Theresa","LastName":"Bernardo","Position":"Professor, IDEXX Chair in Emerging Technologies and Preventive Healthcare","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Bernardo T"},{"PresentationId":"017e6bee-ca9c-4182-8e36-72e2ffdbdfa0","Title":"Dr.","FirstName":"Elizabeth","LastName":"Stone","Position":"Professor Emerita","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Stone E"},{"PresentationId":"017e6bee-ca9c-4182-8e36-72e2ffdbdfa0","Title":"Dr.","FirstName":"Jason","LastName":"Coe","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Coe J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"017e6bee-ca9c-4182-8e36-72e2ffdbdfa0","Number":1,"Affiliation":"University of Guelph - Ontario Veterinary College","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University of Guelph - Ontario Veterinary College, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"017e6bee-ca9c-4182-8e36-72e2ffdbdfa0","Number":2,"Affiliation":"B. Bonnett Consulting","City":"Warton","State":"ON","Country":"Canada","AffiliationDisplay":"B. Bonnett Consulting, Warton ON, Canada"}],"AuthorsHtml":"Hadar B1, Bonnett B2, Poljak Z1, Bernardo T1, Stone E1, Coe J1","AffiliationsHtml":"
1University of Guelph - Ontario Veterinary College, Guelph ON, Canada
2B. Bonnett Consulting, Warton ON, Canada
"}],"DisplayName":"Barr Hadar","TimeDisplay":null},{"ContactId":"8466d630-c140-4c2a-941e-9871773cdfb0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Barbara","LastName":"Haesler","Position":null,"Organization":"Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Examining decision making in the vaccine value chain for foot-and-mouth disease in Kenya","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f002cad3-f498-4110-84d2-a3d16319c66f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.B - Disease Control and Eradication Programs","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"728015d3-e3c9-4ba2-b8f5-ab0689eea021","Html":null,"PlainText":"Objectives: Describe and assess the vaccine value chain (VVC) for foot-and-mouth disease (FMD) in Kenya.

Methods: Key-informant interviews were conducted with public and private actors, including from national and county government, the pharmaceutical industry, UN agencies, farmers and private animal healthcare providers to gather information on their role in FMD, its control and vaccination, and perceptions of strengths and weaknesses in the FMD VVC. These qualitative data were analysed using framework analysis, and integrated with descriptive statistics calculated from primary data on vaccine use, collected from 159 randomly-selected smallholder dairy households in areas known to have experienced recent FMD outbreaks in Nakuru County, Kenya.

Results: Inactivated quadrivalent FMD vaccine is produced in Kenya by a parastatal organisation for the Kenyan market. Production is linked to demand from veterinary departments in Kenya’s devolved county system through a government procurement system; private-market demand is limited and not linked to production. County-level demand is not coordinated nationally and can fluctuate with outbreaks, impacting disease coordination between neighbouring counties and applying unpredictable production pressure on the vaccine-producing institute. Strategic direction for FMD vaccination originates from the central Directorate for Veterinary Services, and is separate from county-level government operations and budgets, which usually have different priorities. 78% of households reported cattle had been vaccinated against FMD; 47% in the preceding six months. 77% of FMD vaccines in Nakuru were delivered free-of-cost through the public system; vaccination is often reactive not proactive due to under-resourcing. Farmers understand vaccination as a government role. Private-sector actors were supportive of disease control efforts but often found it difficult to engage in the VVC because of insufficient resourcing or communication pathways.

Conclusion: Opportunities exist for public-private-partnerships to strengthen the VVC. Integration of private actors at production, allocation and distribution points in the VVC will require systemic political support and realignment.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"728015d3-e3c9-4ba2-b8f5-ab0689eea021","Title":"Dr.","FirstName":"Polly","LastName":"Compston","Position":"","Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Compston P"},{"PresentationId":"728015d3-e3c9-4ba2-b8f5-ab0689eea021","Title":"Dr","FirstName":"Joshua","LastName":"Onono","Position":"Senior Lecturer","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Onono J"},{"PresentationId":"728015d3-e3c9-4ba2-b8f5-ab0689eea021","Title":"Dr","FirstName":"Donald","LastName":"King","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"King D"},{"PresentationId":"728015d3-e3c9-4ba2-b8f5-ab0689eea021","Title":"Dr.","FirstName":"Georgina","LastName":"Limon","Position":"","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Limon G"},{"PresentationId":"728015d3-e3c9-4ba2-b8f5-ab0689eea021","Title":"Ms.","FirstName":"Barbara","LastName":"Haesler","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Haesler B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"728015d3-e3c9-4ba2-b8f5-ab0689eea021","Number":1,"Affiliation":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College","City":" Brookmans Park","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"728015d3-e3c9-4ba2-b8f5-ab0689eea021","Number":2,"Affiliation":"The Pirbright Institute","City":"Pirbright","State":"Woking","Country":"United Kingdom","AffiliationDisplay":"The Pirbright Institute, Pirbright Woking, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"728015d3-e3c9-4ba2-b8f5-ab0689eea021","Number":3,"Affiliation":"Department of Public Health, Pharmacology and Toxicology, College of Agriculture and Veterinary Sciences, University of Nairobi","City":null,"State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Department of Public Health, Pharmacology and Toxicology, College of Agriculture and Veterinary Sciences, University of Nairobi, Nairobi, Kenya"}],"AuthorsHtml":"Compston P1,2, Onono J3, King D2, Limon G1,2, Haesler B1","AffiliationsHtml":"
1Veterinary Epidemiology, Economics and Public Health Group, Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom
2The Pirbright Institute, Pirbright Woking, United Kingdom
3Department of Public Health, Pharmacology and Toxicology, College of Agriculture and Veterinary Sciences, University of Nairobi, Nairobi, Kenya
"}],"DisplayName":"Barbara Haesler","TimeDisplay":null},{"ContactId":"1041ad18-8777-4d2f-b3c7-fb5c7d6976e8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Briana","LastName":"Hagen","Position":"Post-doctoral Fellow","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Factors associated with suicidal ideation among Canadian farmers","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"982b6f40-0717-4625-8343-b4b6b9f7fb9e","Html":null,"PlainText":"Farming is a stressful occupation and worldwide, farmers face disproportionately higher risks of mental health issues and suicide compared to other occupations. Further, farmer health and well-being are associated with animal health; poor mental health of farmers has been associated with poorer health and welfare for farmed animals. Poor mental health is also associated with suicide, and recent research in Japan has shown that livestock farmers are at an increased risk of suicide compared to crop farmers. Despite elevated rates of mental illness in Canadian farmers, and the importance agriculture and farmers in Canada, suicide and suicidal behaviour have not been thoroughly investigated in this population.

Objectives: To estimate the prevalence of suicidal ideation among farmers and investigate farm characteristics, demographic factors, and self-rated health/mental health status as predictors of suicidal ideation.

Materials and methods: A national, online cross-sectional survey was conducted with Canadian farmers (February–May 2021). To assess suicidal ideation, farmers were asked “Since you started farming, have you seriously considered suicide?”. These data were used to construct a multivariable logistic regression model to explore predictors of suicidal ideation.

Results: 1,047 Canadian farmers answered the question on suicide ideation; 201 (19.2%;95% CI:16.8-21.6) indicated that they had considered suicide since they started farming. This is significantly higher (p<0.001) than the proportion from the general Canadian population for lifetime suicide ideation (11.0%). Factors significantly positively associated with suicidal ideation included: perceived inadequate sleep, poor–fair self-rated mental health, previous mental health diagnosis, perceived lack of industry support, and being separated or divorced; apprenticeship/trades (vs. university/college educations) was negatively associated with suicide ideation.

Conclusion: These data provide a novel exploration of suicidal ideation among Canadian farmers and can be used to inform evidence-based approaches to support farmer mental health and Canadian agriculture.

Keywords: farmer mental health; suicide; one health; agriculture; Canada
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"982b6f40-0717-4625-8343-b4b6b9f7fb9e","Title":"Ms.","FirstName":"Briana","LastName":"Hagen","Position":"Post-doctoral Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hagen B"},{"PresentationId":"982b6f40-0717-4625-8343-b4b6b9f7fb9e","Title":"Miss","FirstName":"Rochelle","LastName":"Thompson","Position":"Msc Student - Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Thompson R"},{"PresentationId":"982b6f40-0717-4625-8343-b4b6b9f7fb9e","Title":"Ms.","FirstName":"Andria","LastName":"Jones-Bitton","Position":"Professor & Director Of Well-being Programming","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Jones-Bitton A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"982b6f40-0717-4625-8343-b4b6b9f7fb9e","Number":1,"Affiliation":"University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Hagen B1, Thompson R1, Jones-Bitton A1","AffiliationsHtml":"
1University of Guelph, Guelph ON, Canada
"}],"DisplayName":"Briana Hagen","TimeDisplay":null},{"ContactId":"50440f14-2b3c-4cb9-83bd-5a2de3d58abd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Amy","LastName":"Hagerman","Position":"Assistant Professor","Organization":"Oklahoma State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Economic Dimensions of Antimicrobial Use In Livestock","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"af6d9681-b193-467e-8ad8-bddbc5b546de","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"1_Special Session: Opening the Social Sciences umbrella to tackle AMR: lessons from human and animal health (ISESSAH)","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[],"Authors":[{"PresentationId":"6e055f78-8a68-4cfc-9079-7818d4768c8a","Title":"Dr.","FirstName":"Amy","LastName":"Hagerman","Position":"Assistant Professor","Affiliations":null,"IsPresenting":true,"SortOrder":0,"DisplayName":"Hagerman A"}],"Affiliations":[],"AuthorsHtml":"Hagerman A","AffiliationsHtml":""},{"Title":"African Swine Fever Impacts on Trade Relationships and Pork Prices in the Hispaniola Island","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"00a69b3d-efb2-45d1-8d11-fd49b8075141","Html":null,"PlainText":"Objectives: The 2021 African Swine Fever (ASF) discovery in the Dominican Republic and Haiti raises concerns about pork shortages and livelihood losses. The swine industry structure dissimilarities may result in varied response policies and recovery outcomes in each country. The Dominican sector mostly consists of a commercially oriented swine production, often in urban and suburban areas. Traditional pigs, raised for meats and sold in rural wet markets, in contrast, dominates Haitian swine inventories. Despite those differences, pigs play a substantial role in wealth creation and food security across the island. In this study, we assess the prospective impacts of similar ASF-related shocks in the Dominican Republic, Haiti, and both to Hispaniola pork availability and prices.
Materials and Methods: Stochastic ASF shocks and deterministic consumer avoidance demand shocks are processed though the Haitian pig sector model (HPM-2021), which includes the Dominican Republic. HPM-2021 is a partial equilibrium model of the swine and maize sector in Hispaniola from 2021 to 2024 (baseline 2019). Recovery is assessed until 2030.
Results: ASF economic consequences to the island are examined through three specific scenarios: A Dominican Republic outbreak, a Haiti outbreak, and a widespread Hispaniola outbreak. Findings indicate that an ASF outbreak affecting pork supply in one country benefits the other country’s producers. The unaffected country tends to increase production to offset the island’s pork shortfalls. ASF supply shocks, despite consumer avoidance, often result in higher prices. A Dominican ASF outbreak causes 6 times higher Hispaniola prices than a similar Haitian outbreak. Nevertheless, the more industrialized Dominican swine sector allows a prompt recovery.
Conclusions: The size and duration of outbreaks create challenges and opportunities for swine markets on either side of the island. Socioeconomic damages are likely to be large and can be minimized through recovery programs.
Keywords: ASF, Hispaniola, economic impacts, partial equilibrium model
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"00a69b3d-efb2-45d1-8d11-fd49b8075141","Title":"Mr.","FirstName":"Ralph","LastName":"Jean-Pierre","Position":"Research Assistant","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Jean-Pierre R"},{"PresentationId":"00a69b3d-efb2-45d1-8d11-fd49b8075141","Title":"Dr.","FirstName":"Amy","LastName":"Hagerman","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Hagerman A"},{"PresentationId":"00a69b3d-efb2-45d1-8d11-fd49b8075141","Title":"Mr.","FirstName":"Karl","LastName":"Rich","Position":"Director/professor","Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Rich K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"00a69b3d-efb2-45d1-8d11-fd49b8075141","Number":1,"Affiliation":"Oklahoma State University","City":"Stillwater","State":"OK","Country":"USA","AffiliationDisplay":"Oklahoma State University, Stillwater OK, USA"}],"AuthorsHtml":"Jean-Pierre R1, Hagerman A1, Rich K1","AffiliationsHtml":"
1Oklahoma State University, Stillwater OK, USA
"},{"Title":"Biosecurity Profiles of Beef Cattle Producer Types in Oklahoma","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c3211782-2b76-4969-9924-7f847b521247","Html":null,"PlainText":"Objectives: Biosecurity plays an important role in protecting the health of cattle herds. Even simple health protection practices can reduce the likelihood of losses from common diseases and foreign animal diseases. This study addresses biosecurity understanding among cow-calf producers, biosecurity practices producers commonly adopt, and barriers to biosecurity practice adoption.

Materials and Methods: A questionnaire was developed including: operation characteristics; management, marketing and biosecurity practices; disease knowledge; common information sources; and demographics. A contractual partnership with the United States Department of Agriculture National Agricultural Statistics Service was used to survey a representative sample of cow-calf producers in Oklahoma. Data collection is ongoing. There are over 1600 viable responses to date. Cluster analysis will be used to identify typologies of cattle producers in Oklahoma.

Results: Survey data collection will be complete by March, 2022. Comments received thus far indicate that most cow-calf producers participate in biosecurity practices, but often do not consider them as such. Rather, practices were considered good production practices. However, there are some biosecurity aspects that pasture-based producers do not believe apply to them as compared to confinement operations. The presentation would (1) identify baseline biosecurity practices that are currently utilized; (2) cluster production and marketing practices by biosecurity adoption levels to create typological profiles; and (3) identify ways that baseline biosecurity practices can be rapidly enhanced in the event of a foreign animal disease outbreak.

Conclusions: Adoption of readily available biosecurity guidelines among pasture-based cow-calf producers is often limited. Previous studies have done little to link biosecurity adoption to herd management and marketing practices. This study offers unique insight into why certain practices are adopted and others are not. The typologies created will allow targeted education efforts and identify cow-calf producer types that may be most vulnerable to disease losses.

Keywords: Biosecurity; Beef Cattle; Cluster Analysis; Typology.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c3211782-2b76-4969-9924-7f847b521247","Title":"Dr.","FirstName":"Amy","LastName":"Hagerman","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hagerman A"},{"PresentationId":"c3211782-2b76-4969-9924-7f847b521247","Title":"Dr.","FirstName":"Rosslyn","LastName":"Biggs","Position":"Clinical Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Biggs R"},{"PresentationId":"c3211782-2b76-4969-9924-7f847b521247","Title":"Dr.","FirstName":"Kellie","LastName":"Raper","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Raper K"},{"PresentationId":"c3211782-2b76-4969-9924-7f847b521247","Title":"Dr.","FirstName":"Barry","LastName":"Whitworth","Position":"Area Health and Food Safety Specialist","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Whitworth B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c3211782-2b76-4969-9924-7f847b521247","Number":1,"Affiliation":"Oklahoma State University","City":"Stillwater","State":"OK","Country":"USA","AffiliationDisplay":"Oklahoma State University, Stillwater OK, USA"}],"AuthorsHtml":"Hagerman A1, Biggs R1, Raper K1, Whitworth B1","AffiliationsHtml":"
1Oklahoma State University, Stillwater OK, USA
"},{"Title":"Assessment of the Global Burden of Animal Diseases current activities 2018-2022: Scientific opinions of an independent reference group","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"64987d25-d5d9-431c-a3ed-1977614c49a2","Html":null,"PlainText":"Assessment of the Global Burden of Animal Diseases current activities 2018-2022: Scientific opinions of an independent reference group
A Reference Group (RG) consisting of subject matter scientists in livestock population modelling, epidemiology, economics, and data science was mid-2022 tasked to assess GBADs data flows, data sources, as well as proposed and used applied analytical tools. The RG listened to presentations by GBADs collaborators before filling in a pre-developed standard matrix for each of the presented topics that covered (1) relevance (2) technical clarity of methods (3) data and estimates and (4) overall approach for the Phase II work-to-date.
According to the RG, the GBADs project addresses an urgent need to collect and synthesize the relevant livestock health scattered data and information for stakeholders, including policy makers, so the limited available resources can be allocated appropriately for enhancing global animal health programs. The overall quality of the work in Phase II was recognized by the RG, as being well-structured and containing various components covering a required variety of disciplines to achieve GBADs’ mission and aims.
Although GBADs is progressing well, there are several tasks that should be considered to move the project from concept level to a finalized program that could have significant benefits to the global animal health community. Some of the suggestions in moving forward include, first, addressing the reliability of the required collected data and their resources. This includes expansion of the diversity of the resources of data in relation to geographic granularity to capture critical differences in production types, livestock production systems, climate conditions, and public and private animal health services structure. Second, GBADs should allow for flexibility in the framework to account for differences in data availability, diseases of concern, or regional characteristics while still providing comparable estimates for decision makers, Third, complexities and linkages that may be out of the scope of the project should be recognized. Finally, the cohesiveness of individual efforts should be increased.
With GBADs Phase III on the horizon, the program would benefit from the development of some key impact pathways to illustrate exactly how GBADs plans to achieve its aims. This also relates to the assumptions that underlie these pathways. The development of detailed impact pathways would also allow realistic target indicators to be developed, that can be monitored throughout the course of the program. This will also require a variety of denominators to be assessed for their applicability. Moreover, the success of the GBADs requires the acceptance of both the providers and users of such needed programs to support livestock production, global health, and food sustainability. Therefore, stakeholder communication should be prioritized.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"64987d25-d5d9-431c-a3ed-1977614c49a2","Title":"Dr.","FirstName":"Amy","LastName":"Hagerman","Position":"Assistant Professor","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Hagerman A"}],"Affiliations":[],"AuthorsHtml":"Hagerman A","AffiliationsHtml":""}],"DisplayName":"Amy Hagerman","TimeDisplay":null},{"ContactId":"7d40511f-7887-4958-bb5c-1add1c6ab704","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Organization":"Universidad de Chile","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"chris_hwest","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"chris_hwest","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://chris_hwest","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://chris_hwest","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[{"Title":"Estimation of contact rates between wild birds and domestic birds in backyard production systems in Chile","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Html":null,"PlainText":"Studies carried out in South America have described avian influenza virus (AIV) transmission in the interface of wild birds and domestic birds. Findings in Chile have evidenced spillover events from wild birds to backyard production systems (BPS) poultry. However, it is unknown how AIV could enter and spread among BPS. Small passerine birds could be a bridge between aquatic wild birds and domestic birds. Understanding the dynamic contacts among BPS poultry – bridge species – aquatic wild birds and their potential role in the transmission of AIV virus is a priority.
The objective of this study was to measure contact rates between aquatic wild birds, bridge species and BPS poultry in Chile.
Infield videotaping method was done by monitoring movements in BPS in three moments of the day (1.5 hours at dawn, 1.5 hours at noon, 1.5 hours at sunset). The median number of contacts and confident intervals (95%) were calculated.
To date, a total of 18 hours has been recorded in 4 BPS. A total of 868 movements has been registered, of which 187 corresponded to the visualization of a bridge specie on the screen, 671 to domestic birds and 10 to humans. Out of the 868 movements, 24% occurred in the morning, 29% at noon and 47% at sunset. The median number of direct contacts between bridge species and poultry per day was 2.5 (IQR=1 – 28). The median number of direct contacts between domestic hens of the same BPS per day was 113.5 (IQR= 85.8–125.5).
Epidemiological modeling is a technique increasingly used to estimate the potential magnitude of a disease outbreak and a valuable tool for analyzing and developing control strategies. Having data on contact rates is very powerful for refining spread models of infectious diseases, particularly in an understudied area like BPS in South America.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Title":"Dr.","FirstName":"Francisca","LastName":"Di Pillo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Di Pillo F"},{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Title":"Dr.","FirstName":"Santiago","LastName":"Urcelay","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Urcelay S"},{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Title":"Dr.","FirstName":"Pedro","LastName":"Jiménez-Bluhm","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Jiménez-Bluhm P"},{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Affiliations":"2","IsPresenting":true,"SortOrder":4,"DisplayName":"Hamilton-West C"},{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Title":"Dr.","FirstName":"Soledad","LastName":"Ruiz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Ruiz S"},{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Title":"Ms.","FirstName":"Cecilia","LastName":"Baumberger","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Baumberger C"},{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Title":null,"FirstName":"Pablo","LastName":"Galdames","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Galdames P"},{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Title":"Miss","FirstName":"Constanza","LastName":"Leon","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Leon C"},{"PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Title":"Ms.","FirstName":"Tamara","LastName":"Palma","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Palma T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Number":1,"Affiliation":"Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas","City":"Santiago","State":"Region Metropolitana","Country":"Chile","AffiliationDisplay":"Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas, Santiago Region Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7f2a7d6e-61a4-4201-89bf-325a2928f85e","Number":2,"Affiliation":"Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"Santiago","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile"}],"AuthorsHtml":"Di Pillo F1, Urcelay S2, Jiménez-Bluhm P2, Hamilton-West C2, Ruiz S1, Baumberger C2, Galdames P2, Leon C1, Palma T","AffiliationsHtml":"
1Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas, Santiago Region Metropolitana, Chile
2Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile
"},{"Title":"Evaluation of ecological and environmental factors that influence the prevalence of influenza a viruses in the Lluta river wetland","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Html":null,"PlainText":"The Lluta River is the northernmost coastal wetland in Chile and the first stopover point for many species of wild birds that arrive in the country along the Pacific migratory route, representing a priority site for avian influenza virus (AIV) surveillance in Chile.
The aim of this study was to determine the prevalence of AIV in the Lluta River wetland, to describe the subtypes found and to evaluate ecological and environmental factors that could influence that prevalence at the site.
The wetland was studied and sampled from September 2015 to June 2018. In each visit, fresh fecal environmental samples (n = 186) of wild birds were collected for AIV detection by real-time RT-PCR. Furthermore, a count of wild birds present at the site was performed and environmental variables, such as temperature, rainfall, vegetation coverage (Normalized Difference Vegetation Index-NDVI) and water body size were determined. A GLMM was built to assess the association between IAV prevalence and explanatory variables.
Of the 3230 samples screened during the study period, overall prevalence in the wetland was 1.94% (CI 95%:1.50-2.52) and monthly prevalence of IAV ranged from 0% to 8.6%. A wide diversity of hemagglutinin (HA) and neuraminidase (NA) subtypes were identified, including low pathogenic H5 and H9 viruses. While prevalence of IAV was positively related with abundance of migratory birds (OR=3.79, p<0.05), there was no association between the prevalence and the environmental variables.
Since the environmental factors of the Lluta river wetland do not present major variations during the year, the characteristics related to the host are more important to explain the differences in the prevalence in this wetland. Overall, these results emphasize the importance of the Lluta wetland as a gateway to Chile for viruses that come from the Northern Hemisphere and stresses the importance for continued active surveillance at the site.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Title":"Dr.","FirstName":"Soledad","LastName":"Ruiz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Ruiz S"},{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Title":"Dr.","FirstName":"Pedro","LastName":"Jiménez-Bluhm","Position":null,"Affiliations":"2,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Jiménez-Bluhm P"},{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Title":"Ms.","FirstName":"Cecilia","LastName":"Baumberger","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Baumberger C"},{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Title":"Dr.","FirstName":"Francisca","LastName":"Di Pillo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Di Pillo F"},{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Title":null,"FirstName":"Pablo","LastName":"Galdames","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Galdames P"},{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Title":"Dr.","FirstName":"Santiago","LastName":"Urcelay","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Urcelay S"},{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Title":"Dr.","FirstName":"Juan","LastName":"Sanhueza","Position":"Assistant Professor","Affiliations":"4","IsPresenting":false,"SortOrder":7,"DisplayName":"Sanhueza J"},{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Title":"Dr","FirstName":"Stacey","LastName":"Schultz-Cherry","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":8,"DisplayName":"Schultz-Cherry S"},{"PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Affiliations":"2","IsPresenting":true,"SortOrder":9,"DisplayName":"Hamilton-West C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Number":1,"Affiliation":"Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas","City":"Santiago","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas, Santiago Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Number":2,"Affiliation":"Department of Preventive Medicine, Faculty of Veterinary Science, Universidad de Chile","City":"Santiago","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Department of Preventive Medicine, Faculty of Veterinary Science, Universidad de Chile, Santiago Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Number":3,"Affiliation":"Escuela de Medicina Veterinaria, Facultad de Agronomía e Ingeniería Forestal, Facultad de Ciencias Biológicas y Facultad de Medicina, Pontificia Universidad Católica de Chile","City":"Santiago","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Escuela de Medicina Veterinaria, Facultad de Agronomía e Ingeniería Forestal, Facultad de Ciencias Biológicas y Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Number":4,"Affiliation":"Departamento de Ciencias Veterinarias y Salud Pública, Facultad de Recursos Naturales, Universidad Católica de Temuco","City":"Temuco","State":"Región de La Araucanía","Country":"Chile","AffiliationDisplay":"Departamento de Ciencias Veterinarias y Salud Pública, Facultad de Recursos Naturales, Universidad Católica de Temuco, Temuco Región de La Araucanía, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1b098dec-9bde-4c7c-acf8-01b2f1994cf1","Number":5,"Affiliation":"Department of Infectious Diseases, St Jude Children’s Research Hospital","City":"Memphis","State":"Tennessee","Country":"United States of America","AffiliationDisplay":"Department of Infectious Diseases, St Jude Children’s Research Hospital, Memphis Tennessee, United States of America"}],"AuthorsHtml":"Ruiz S1, Jiménez-Bluhm P2,3, Baumberger C2, Di Pillo F1, Galdames P2, Urcelay S2, Sanhueza J4, Schultz-Cherry S5, Hamilton-West C2","AffiliationsHtml":"
1Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas, Santiago Región Metropolitana, Chile
2Department of Preventive Medicine, Faculty of Veterinary Science, Universidad de Chile, Santiago Región Metropolitana, Chile
3Escuela de Medicina Veterinaria, Facultad de Agronomía e Ingeniería Forestal, Facultad de Ciencias Biológicas y Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago Región Metropolitana, Chile
4Departamento de Ciencias Veterinarias y Salud Pública, Facultad de Recursos Naturales, Universidad Católica de Temuco, Temuco Región de La Araucanía, Chile
5Department of Infectious Diseases, St Jude Children’s Research Hospital, Memphis Tennessee, United States of America
"},{"Title":"Novel Low Pathogenic Avian Influenza H6N1 in backyard chicken in Easter Island (Rapa Nui), Chilean Polynesia","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0791157-2a58-4eff-83c4-05e358114fbc","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.E - Epidemiology of avian influenza","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Html":null,"PlainText":"Little is known about the prevalence of avian Influenza viruses (AIV) in wildlife and domestic animals in Polynesia. Here we present the results of active AIV surveillance performed during two sampling seasons in 2019 on Easter Island (Rapa Nui). Tracheal and cloacal swabs as well as sera samples were obtained from domestic backyard poultry, while fresh faeces were collected from wild birds. In addition to detecting antibodies against AIV in 46% of the domestic chickens in backyard production systems tested, we isolated a novel low pathogenic H6N1 virus from a chicken. Phylogenetic analysis of all genetic segments revealed that the virus was closely related to AIV’s circulating in South America. Our analysis showed different geographical origins of the genetic segments, with the PA, HA, NA, NP, and MP gene segments coming from central Chile and the PB2, PB1 and NS being closely related to viruses isolated in Argentina. While the route of introduction can only be speculated, our analysis shows the persistence and independent evolution of this strain in the island since its putative introduction between 2015 and 2016. The results of this research are the first evidence of AIV circulation in domestic birds on a Polynesian island and increase our understanding of AIV ecology in region, warranting further surveillance on Rapa Nui and beyond.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":"Dr.","FirstName":"Francisca","LastName":"Di Pillo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Di Pillo F"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":"Ms.","FirstName":"Cecilia","LastName":"Baumberger","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Baumberger C"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":null,"FirstName":"Carla","LastName":"Salazar","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Salazar C"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":null,"FirstName":"Pablo","LastName":"Galdames","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Galdames P"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":"Dr.","FirstName":"Soledad","LastName":"Ruiz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Ruiz S"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":null,"FirstName":"Bridgett","LastName":"Sharp","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Sharp B"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":"Dr.","FirstName":"Pamela","LastName":"Freiden","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Freiden P"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":"Dr.","FirstName":"Shaoyuan","LastName":"Tan","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":8,"DisplayName":"Tan S"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":"Dr","FirstName":"Stacey","LastName":"Schultz-Cherry","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":9,"DisplayName":"Schultz-Cherry S"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":"Dr.","FirstName":"Santiago","LastName":"Urcelay","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":10,"DisplayName":"Urcelay S"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":"Dr.","FirstName":"Pedro","LastName":"Jiménez-Bluhm","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":11,"DisplayName":"Jiménez-Bluhm P"},{"PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Affiliations":"2","IsPresenting":true,"SortOrder":12,"DisplayName":"Hamilton-West C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Number":1,"Affiliation":"Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Vete-rinaria y Agronomía, Universidad de Las Américas","City":"Santiago","State":"Region Metropolitana","Country":"Chile","AffiliationDisplay":"Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Vete-rinaria y Agronomía, Universidad de Las Américas, Santiago Region Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Number":2,"Affiliation":"Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"Santiago","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6a01d867-e8b1-404f-8553-77336e0b3a9b","Number":3,"Affiliation":"Department of Infectious Diseases, St. Jude Children’s Research Hospital","City":"Memphis","State":"Tennessee","Country":"United States of America","AffiliationDisplay":"Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis Tennessee, United States of America"}],"AuthorsHtml":"Di Pillo F1, Baumberger C2, Salazar C2, Galdames P2, Ruiz S1, Sharp B3, Freiden P3, Tan S3, Schultz-Cherry S3, Urcelay S2, Jiménez-Bluhm P2, Hamilton-West C2","AffiliationsHtml":"
1Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Vete-rinaria y Agronomía, Universidad de Las Américas, Santiago Region Metropolitana, Chile
2Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile
3Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis Tennessee, United States of America
"},{"Title":"Identification of new aquatic host species of the Avian Influenza Virus in Chile and determination of its interhemispheric gene flow ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1df42f64-915e-4bf6-b27a-8bea9e1afbf4","Html":null,"PlainText":"Keywords: avian-influenza, aquatic-birds, influenza, migratory-species, Chile

The naturals reservoir of IAV are wild aquatic birds, mainly those belonging to order Charadriiformes and Anseriformes. Despite of receive many migratory birds, only a few of species are recognized like reservoirs of IAV in Chile.
The aim of this study is to estimate new species of order Charadriiformes and non-Anseriformes and analized the flow of viral genes that could be spread by migratory-interhemispheric shorebirds or local movements.
Positive samples for IAV were perform by RNA extraction and real-time RT-PCR by Epidemiology Laboratory of Faculty of Veterinary Science, University of Chile. For the identification of the species were analized by Barcoding, using 648 base pairs of cytochrome c oxidase I (COI) mitocondrial gene. Two data base were used BOLD/BLAST to assign the species.
Of the 69 the process samples, 74% correspond to the most-common gull Larus dominicanus, in the second place with 10% we found Chroicephalus maculipennis. But the most remarkable result emerge from the data is that 2 species was found for the first-time host of influenza: Phoenicopterus chilensis and Lophonetta specularoides.
From the total of these samples we have determined 26 sequences, most prevalent H13N2 being all of them Larus dominicanus, except one Chroicocephalus maculipennis. In the case of Phoenicopterus chilensis the sequences was H7N3, and only one H5N3 was determined for a Larus dominicanus sample. The rest of the sequences are incomplete and continues its analyses in the Center of Excellence for Influenza Research and Response St. Jude Hospital.
These findings reinforces the importance of Charadriiformes order in the transmission and maintenance of the virus, and the case of Larus dominicanus their gregarious behavior makes it one of the most important hosts. Its very important continues searching more especies than can be involve in the emergence of a new pandemic strains.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1df42f64-915e-4bf6-b27a-8bea9e1afbf4","Title":"Ms.","FirstName":"Maria Antonieta","LastName":"Gonzalez Soto","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Gonzalez Soto M"},{"PresentationId":"1df42f64-915e-4bf6-b27a-8bea9e1afbf4","Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Affiliations":"2","IsPresenting":true,"SortOrder":1,"DisplayName":"Hamilton-West C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1df42f64-915e-4bf6-b27a-8bea9e1afbf4","Number":1,"Affiliation":"Departamento De Medicina Preventiva Animal, Facultad De Ciencias Veterinarias Y Pecuarias, Universidad De Chile","City":"La Pintana","State":"Metropolitana ","Country":"Chile","AffiliationDisplay":"Departamento De Medicina Preventiva Animal, Facultad De Ciencias Veterinarias Y Pecuarias, Universidad De Chile, La Pintana Metropolitana , Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1df42f64-915e-4bf6-b27a-8bea9e1afbf4","Number":2,"Affiliation":"Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"Santiago","State":"Metropolitana","Country":"Chile","AffiliationDisplay":"Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Metropolitana, Chile"}],"AuthorsHtml":"Gonzalez Soto M1, Hamilton-West C2","AffiliationsHtml":"
1Departamento De Medicina Preventiva Animal, Facultad De Ciencias Veterinarias Y Pecuarias, Universidad De Chile, La Pintana Metropolitana , Chile
2Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Metropolitana, Chile
"},{"Title":"Swine Backyard Production Systems in Central Chile: Characterizing Animal Health Management, Biosecurity Measures and Production Value Chain","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c38be521-a75f-440b-a712-60df89a850ee","Html":null,"PlainText":"Backyard production systems (BPS) are abundant in central Chile. Based on recent literature, zoonotic pathogens (such as influenza A virus and Salmonella spp.) are circulating in both poultry and pigs kept in BPS located in central Chile. However, swine BPS have not yet been thoroughly characterized.
The study objectives are to characterize swine BPS in the central zone of Chile, and to identify main inputs and outputs of the production by a value chain analysis.
A total of 358 farmers from central Chile were interviewed by face-to-face interviews between 2013 and 2015. Twenty-one questionnaire variables were used to characterized backyard farms in terms of animal management, biosecurity measures and the value chain of backyard swine production.
A low implementation of biosecurity measures was observed. A third of backyards did not have functional fences, 70% of the producers reported not performing hand washing after handling animals and it was common that BPS had neighboring backyards (30%) or nearby industrial farms (13%). Value chain of swine BPS identified feeding, products and veterinary visits, and replacement or breeding animals as the main inputs to the backyard. The most common origin of swine replacements was from outside the BPS (64%). Meat and live animals (piglets and breeding animals, mainly) were identified as the main outputs of the system. In 16% of BPS, breeding animals were lent to other BPS, indicating the existence of animal movement in and out of backyard farms.
Swine BPS constitute a human-animal interface with characteristics that represent a risk of emergence and dissemination of pathogens, therefore, epidemiological surveillance should be directed to these farms.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c38be521-a75f-440b-a712-60df89a850ee","Title":"Ms.","FirstName":"Cecilia","LastName":"Baumberger","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Baumberger C"},{"PresentationId":"c38be521-a75f-440b-a712-60df89a850ee","Title":"Dr.","FirstName":"Francisca","LastName":"Di Pillo","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Di Pillo F"},{"PresentationId":"c38be521-a75f-440b-a712-60df89a850ee","Title":"Ms.","FirstName":"Tamara","LastName":"Palma","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Palma T"},{"PresentationId":"c38be521-a75f-440b-a712-60df89a850ee","Title":"Dr.","FirstName":"Pedro","LastName":"Jiménez-Bluhm","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Jiménez-Bluhm P"},{"PresentationId":"c38be521-a75f-440b-a712-60df89a850ee","Title":"Dr.","FirstName":"Santiago","LastName":"Urcelay","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Urcelay S"},{"PresentationId":"c38be521-a75f-440b-a712-60df89a850ee","Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Hamilton-West C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c38be521-a75f-440b-a712-60df89a850ee","Number":1,"Affiliation":"Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"Santiago","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c38be521-a75f-440b-a712-60df89a850ee","Number":2,"Affiliation":"Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas","City":"Santiago","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas, Santiago Región Metropolitana, Chile"}],"AuthorsHtml":"Baumberger C1, Di Pillo F2, Palma T1, Jiménez-Bluhm P1, Urcelay S1, Hamilton-West C1","AffiliationsHtml":"
1Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile
2Núcleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronómicas, Facultad de Medicina Veterinaria y Agronomía, Universidad de Las Américas, Santiago Región Metropolitana, Chile
"}],"DisplayName":"Christopher Hamilton-West","TimeDisplay":null},{"ContactId":"4de36bc5-41de-4ddf-b44a-0b340e27edd5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sherry","LastName":"Hannon","Position":"Research Team Lead/veterinary Epidemiologist","Organization":"Feedlot Health Management Services By TELUS Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c0e23e45512f4e01ab674128fce2a1a1","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr Hannon graduated as a Doctor of Veterinary Medicine from the Western College of Veterinary Medicine, Saskatoon, SK, Canada (WCVM, 1996) and practiced companion animal medicine for 5 years in British Columbia and Alberta. She then returned to WCVM where she obtained a MVetSc (2003, Department of Veterinary Microbiology) and a Veterinary Epidemiology PhD (2009, Department of Large Animal Clinical Sciences). She became associated with Feedlot Health Management Services in May 2008 as a veterinary epidemiologist. Dr Hannon has been Research Team Lead and Chair of the Feedlot Health Animal Care Committee since 2010. Her research interests include antimicrobial use and antimicrobial resistance in feedlot cattle and animal welfare. ","Presentations":[{"Title":"Canada’s Feedlot Antimicrobial Use and Antimicrobial Resistance Surveillance Project ","Bio":"Dr Hannon graduated as a Doctor of Veterinary Medicine from the Western College of Veterinary Medicine, Saskatoon, SK, Canada (WCVM, 1996) and practiced companion animal medicine for 5 years in British Columbia and Alberta. She then returned to WCVM where she obtained a MVetSc (2003, Department of Veterinary Microbiology) and a Veterinary Epidemiology PhD (2009, Department of Large Animal Clinical Sciences). She became associated with Feedlot Health Management Services in May 2008 as a veterinary epidemiologist. Dr Hannon has been Research Team Lead and Chair of the Feedlot Health Animal Care Committee since 2010. Her research interests include antimicrobial use and antimicrobial resistance in feedlot cattle and animal welfare. ","PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"af159943-b652-4513-a3cc-147364a08585","Html":null,"PlainText":"Objectives
In 2019, a Canadian feedlot cattle antimicrobial use (AMU) and antimicrobial resistance (AMR) surveillance project was initiated. The objectives are to 1) provide representative estimates of AMU and AMR; 2) monitor trends in AMU and AMR over time; 3) periodically investigate associations between AMU and AMR on a targeted basis in relation to emerging AMR trends; and 4) provide collated industry data for assessment of potential public/animal health risks and help veterinarians and producers preserve antimicrobial effectiveness and support antimicrobial stewardship.

Materials and Methods
Sample size calculations were designed to represent fed-cattle numbers in the Alberta, Saskatchewan, and Ontario. For inclusion, selected feedlots must be engaged in the finishing phase of cattle production, have a valid veterinary-client-patient relationship with the enrolling veterinarian; and have a one-time capacity of > 1,000 animals. Composite fecal sampling evaluating Escherichia coli, Salmonella spp., Campylobacter spp., and Enterococcus spp. (n=10 pens within 30 days of animal slaughter/feedlot); and nasopharyngeal sampling evaluating Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni (n=16/feedlot at arrival and n=16/feedlot from the same pen at rehandling) are collected annually.

AMU data are collected by consulting veterinarians who maintain the identity/confidentiality of feedlots. Quantitative parameters such as number of defined daily doses per animal time, and milligrams of antimicrobial administered adjusting for animal weight and population are calculated, and data are collated and provided back to feedlots as site-specific reports based on coded HerdID, and to key stakeholders as a national report.

Results
Surveillance demographics and 2019 AMR trends will be reported, including bacterial and AMR prevalence estimates, antimicrobial susceptibility data, and multi-drug resistance findings.

Conclusion
Canada’s feedlot AMU and AMR surveillance project is used to provide robust data to support industry sustainability, animal health and welfare, antimicrobial stewardship and global antimicrobial use transparency.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"af159943-b652-4513-a3cc-147364a08585","Title":"Dr.","FirstName":"Sherry","LastName":"Hannon","Position":"Research Team Lead/veterinary Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hannon S"},{"PresentationId":"af159943-b652-4513-a3cc-147364a08585","Title":"Dr","FirstName":"Joyce","LastName":"Van Donkersgoed","Position":"Adjunct Faculty","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Van Donkersgoed J"},{"PresentationId":"af159943-b652-4513-a3cc-147364a08585","Title":"Dr.","FirstName":"Craig","LastName":"Dorin","Position":"Veterinarian","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Dorin C"},{"PresentationId":"af159943-b652-4513-a3cc-147364a08585","Title":"Dr.","FirstName":"Greg","LastName":"Dimmers","Position":"Veterinarian","Affiliations":"4,5","IsPresenting":false,"SortOrder":4,"DisplayName":"Dimmers G"},{"PresentationId":"af159943-b652-4513-a3cc-147364a08585","Title":"Dr","FirstName":"Steve","LastName":"Hendrick","Position":"Veterinarian","Affiliations":"6","IsPresenting":false,"SortOrder":5,"DisplayName":"Hendrick S"},{"PresentationId":"af159943-b652-4513-a3cc-147364a08585","Title":"Dr","FirstName":"Sheryl","LastName":"Gow","Position":"Veterinary Epidemiologist","Affiliations":"7","IsPresenting":false,"SortOrder":6,"DisplayName":"Gow S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"af159943-b652-4513-a3cc-147364a08585","Number":1,"Affiliation":"Feedlot Health Management Services By TELUS Agriculture","City":"Okotoks","State":"AB","Country":"Canada","AffiliationDisplay":"Feedlot Health Management Services By TELUS Agriculture, Okotoks AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"af159943-b652-4513-a3cc-147364a08585","Number":2,"Affiliation":"Alberta Cattle Feeders' Association","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Alberta Cattle Feeders' Association, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"af159943-b652-4513-a3cc-147364a08585","Number":3,"Affiliation":"Veterinary Agri-Health Services","City":"Airdrie","State":"AB","Country":"Canada","AffiliationDisplay":"Veterinary Agri-Health Services, Airdrie AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"af159943-b652-4513-a3cc-147364a08585","Number":4,"Affiliation":"Alberta Beef Solutions","City":"Picture Butte","State":"AB","Country":"Canada","AffiliationDisplay":"Alberta Beef Solutions, Picture Butte AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"af159943-b652-4513-a3cc-147364a08585","Number":5,"Affiliation":"Metzger Veterinary Clinic","City":"Linwood","State":"ON","Country":"Canada","AffiliationDisplay":"Metzger Veterinary Clinic, Linwood ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"af159943-b652-4513-a3cc-147364a08585","Number":6,"Affiliation":"Coaldale Veterinary Clinic","City":"Lethbridge","State":"AB","Country":"Canada","AffiliationDisplay":"Coaldale Veterinary Clinic, Lethbridge AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"af159943-b652-4513-a3cc-147364a08585","Number":7,"Affiliation":"Canadian Integrated Program for Antimicrobial Resistance Surveillance, Public Health Agency of Canada","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Canadian Integrated Program for Antimicrobial Resistance Surveillance, Public Health Agency of Canada, Saskatoon SK, Canada"}],"AuthorsHtml":"Hannon S1, Van Donkersgoed J2, Dorin C3, Dimmers G4,5, Hendrick S6, Gow S7","AffiliationsHtml":"
1Feedlot Health Management Services By TELUS Agriculture, Okotoks AB, Canada
2Alberta Cattle Feeders' Association, Calgary AB, Canada
3Veterinary Agri-Health Services, Airdrie AB, Canada
4Alberta Beef Solutions, Picture Butte AB, Canada
5Metzger Veterinary Clinic, Linwood ON, Canada
6Coaldale Veterinary Clinic, Lethbridge AB, Canada
7Canadian Integrated Program for Antimicrobial Resistance Surveillance, Public Health Agency of Canada, Saskatoon SK, Canada
"},{"Title":"Remote Monitoring of Cattle Population Health 365 Days a Year","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"780d49a2-f582-4d81-b9a2-e16dc814b2d8","Html":null,"PlainText":"Objective
To provide a broad review of how daily connectivity and epidemiological tools support cattle health on a large scale.

Materials and Methods
Feedlot Health Management Services by TELUS Agriculture is a global veterinary and cattle production consulting company that relies on epidemiological tools to monitor animal health in beef and dairy-type cattle destined for slaughter. Producers from countries around the world are constantly in direct contact with Feedlot Health veterinarians, ruminant nutritionists, and cattle specialists through email, telephone, video conferencing, on-site visits, and other digital technologies (dashboards, automated reports, file sharing).
Proprietary data collection and management software (iFHMS) in every animal handling facility at client sites facilitates recording of individual-animal information (e.g. identification, weight, date, product(s) administered, disease diagnosis) every time animals pass through a chute.

Population-specific automated “trigger” reports and colour-coded dashboards (based on pre-established criteria such as morbidity and mortality thresholds) are produced daily and reviewed by consultants for timely and appropriate intervention when warranted.

Trained animal health personnel conduct standardized post-mortem examinations for animals that die at client sites, and upload specific digital images for Feedlot Health veterinarians to diagnose.

Results
All components of the data collection and management system (including in-person veterinary visits, iFHMS, remote digital necropsy, automated health summaries, and other tools) allow Feedlot Health to provide high level population oversight, health protocol standardization and compliance monitoring, and animal traceability 365 days a year.

Conclusions
Digital and epidemiological tools help create high trust levels between Feedlot Health and its clients, allow efficient and effective communication, and improve the ability to provide health and welfare support in cattle populations with essentially no geographical limitations. It is critical to expand epidemiological capability and capacity by thinking outside the box, synergistically building on technology, and applying creative tools to complex issues in a structured and sound way.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"780d49a2-f582-4d81-b9a2-e16dc814b2d8","Title":"Dr.","FirstName":"RK","LastName":"Fenton","Position":"Veterinarian","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Fenton R"},{"PresentationId":"780d49a2-f582-4d81-b9a2-e16dc814b2d8","Title":"Dr.","FirstName":"Ryan","LastName":"Rademacher","Position":"Veterinarian","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Rademacher R"},{"PresentationId":"780d49a2-f582-4d81-b9a2-e16dc814b2d8","Title":"Dr","FirstName":"Shari","LastName":"Van de Pol","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Van de Pol S"},{"PresentationId":"780d49a2-f582-4d81-b9a2-e16dc814b2d8","Title":null,"FirstName":"Devin","LastName":"Dahlman","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Dahlman D"},{"PresentationId":"780d49a2-f582-4d81-b9a2-e16dc814b2d8","Title":"Miss","FirstName":"Sarah","LastName":"Erickson","Position":"Technical Data Assistant","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Erickson S"},{"PresentationId":"780d49a2-f582-4d81-b9a2-e16dc814b2d8","Title":"Dr.","FirstName":"Sherry","LastName":"Hannon","Position":"Research Team Lead/veterinary Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Hannon S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"780d49a2-f582-4d81-b9a2-e16dc814b2d8","Number":1,"Affiliation":"Feedlot Health Management Services By TELUS Agriculture","City":"Okotoks","State":"AB","Country":"Canada","AffiliationDisplay":"Feedlot Health Management Services By TELUS Agriculture, Okotoks AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"780d49a2-f582-4d81-b9a2-e16dc814b2d8","Number":2,"Affiliation":"CATTLEytics","City":"Hamilton","State":"ON","Country":"Canada","AffiliationDisplay":"CATTLEytics, Hamilton ON, Canada"}],"AuthorsHtml":"Fenton R1, Rademacher R1, Van de Pol S1,2, Dahlman D1, Erickson S1, Hannon S1","AffiliationsHtml":"
1Feedlot Health Management Services By TELUS Agriculture, Okotoks AB, Canada
2CATTLEytics, Hamilton ON, Canada
"}],"DisplayName":"Sherry Hannon","TimeDisplay":null},{"ContactId":"b20eec1f-0eb0-4267-84df-365530397420","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sonja","LastName":"Hartnack","Position":"","Organization":"Vetsuisse Faculty","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluating diagnostic test accuracies of a rapid antigen test and RT-PCR to diagnose Covid-19 by Bayesian latent class models","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"459e5a33-fe04-42f8-93d1-a3b43abdafc6","Html":null,"PlainText":"Objective
During the COVID-19 pandemic, numerous diagnostic tests, i.e. RT-PCR and rapid antigen tests have been developed. Diagnostic sensitivities and specificities of the rapid antigen tests are often evaluated by comparing them directly with RT-PCR, which is considered the gold standard. Several studies have shown, that the RT-PCR is highly specific, but the diagnostic sensitivity might possibly not reach 100%. Bayesian latent class models (BLCM) are suitable to estimate diagnostic test accuracies in the absence of a gold standard. The aim of our study was to use BLCM to estimate diagnostic test accuracies of samples from 331 individuals which presented themselves for routine surveillance due to different reasons (symptoms and contact to a case, visiting a home for elderly people and a previous positive test result) and for which a RT-PCR and rapid antigen test (NADAL) results were available.

Material and methods
Following a Hui Walter approach with two tests (RT-PCR and rapid antigen) and three populations (different testing reasons), we conducted a BLCM analysis using the package ‘runjags’ in R with MCMC simulations with JAGS. After a burnin of 5000 iterations, three chains, a thinning of 10, the mean [95% credibility intervals] for posterior estimates were based on 30000 iterations. We assumed an informative prior for the specificity of the RT-PCR, otherwise minimally informative beta priors were included and checked for conditional dependencies. Convergence was assessed by inspecting trace plots, Gelman Rubin’s check and the effective sample size.

Results
The resulting sensitivity of the RT-PCR and the rapid antigen test were 95.1 [85.9-100] and 82.3 [71.5-92.6], respectively. The specificities of RT-PCR and the rapid antigen test 98.8 [95.9-100] and 96.1 [92.9-99.0].

Discussion
BLCMs have rarely been applied in the current pandemic, but provide useful information about diagnostic test accuracies, particularly relevant at population level.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"459e5a33-fe04-42f8-93d1-a3b43abdafc6","Title":"Dr.","FirstName":"Sonja","LastName":"Hartnack","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hartnack S"},{"PresentationId":"459e5a33-fe04-42f8-93d1-a3b43abdafc6","Title":"Dr.","FirstName":"Rasmus","LastName":"Bandick","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Bandick R"},{"PresentationId":"459e5a33-fe04-42f8-93d1-a3b43abdafc6","Title":"Dr.","FirstName":"Josephine","LastName":"Timm","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Timm J"},{"PresentationId":"459e5a33-fe04-42f8-93d1-a3b43abdafc6","Title":"Dr.","FirstName":"Alexandra","LastName":"Roth","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Roth A"},{"PresentationId":"459e5a33-fe04-42f8-93d1-a3b43abdafc6","Title":"Dr.","FirstName":"Nicolai","LastName":"Savaskan","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Savaskan N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"459e5a33-fe04-42f8-93d1-a3b43abdafc6","Number":1,"Affiliation":"Vetsuisse Faculty","City":"Zurich","State":null,"Country":"Switzerland","AffiliationDisplay":"Vetsuisse Faculty, Zurich, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"459e5a33-fe04-42f8-93d1-a3b43abdafc6","Number":2,"Affiliation":"Bezirksamt-Neukölln von Berlin","City":"Berlin","State":null,"Country":"Germany","AffiliationDisplay":"Bezirksamt-Neukölln von Berlin, Berlin, Germany"}],"AuthorsHtml":"Hartnack S1, Bandick R2, Timm J2, Roth A2, Savaskan N2","AffiliationsHtml":"
1Vetsuisse Faculty, Zurich, Switzerland
2Bezirksamt-Neukölln von Berlin, Berlin, Germany
"}],"DisplayName":"Sonja Hartnack","TimeDisplay":null},{"ContactId":"f5ca288a-ed20-49b0-be6b-176fe797d20b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Yoko","LastName":"Hayama","Position":"Senior Researcher","Organization":"National Institute of Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Spatial analysis of classical swine fever in wild boar in Japan 2018-2020 using a Bayesian spatiotemporal model","Bio":null,"PresentationTypeName":"Poster (ISVEE to print/put up poster)","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"6e3e1f9c-cbb8-42ec-9bde-8dfba51a7b3b","Html":null,"PlainText":"1. Objectives
Classical swine fever (CSF) re-emerged in September 2018 in Gifu Prefecture, central Japan, and has spread in the wild boar population in the country. Oral mass vaccination has been implemented since March 2019 to prevent the spread of CSF in wild boar. Transmission of CSF in wild boar is complexly associated with ecological, geographic, and human factors, including hunting and oral vaccination. In this study, we investigated the spatial factors associated with CSF infection in wild boar.

2. Materials and methods
Surveillance data for wild boar in Gifu Prefecture, including 3,146 animals collected between September 2018 and March 2020, and geospatial features (i.e., land cover and elevation, etc.) were analyzed for the periods before and after the oral vaccination program. A Bayesian spatiotemporal model, which allows analysis of spatial and temporal trends of the disease spread, was applied.

3. Results
In the pre-vaccination period, wild boar found dead and CSF prevalence in wild boar within a 10-km radius had a positive effect on CSF infection in wild boar. Land areas containing villages, evergreen needle-leaf forest, and deciduous broadleaf forest were positively associated with CSF infection. In the post-vaccination period, wild boar found dead and CSF prevalence in wild boar within a 10-km radius had a positive effect on CSF infection. The proportion of immunized wild boar within a 10-km radius was negatively associated with CSF infection.

4. Conclusion
The prevalence of CSF and the amount of forest cover are key factors affecting CSF infection in wild boar. Immunized population after the oral vaccination seems to have reduced the risk of CSF infection. This study helps our understanding of the spatial characteristics of CSF spread in wild boar and may aid in the development of preventive measures for both wild boar and domestic pigs.

keywords: CSF, wild boar, Japan","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6e3e1f9c-cbb8-42ec-9bde-8dfba51a7b3b","Title":"Dr.","FirstName":"Yoko","LastName":"Hayama","Position":"Senior Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hayama Y"},{"PresentationId":"6e3e1f9c-cbb8-42ec-9bde-8dfba51a7b3b","Title":"Mr.","FirstName":"Yoshinori","LastName":"Murato","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Murato Y"},{"PresentationId":"6e3e1f9c-cbb8-42ec-9bde-8dfba51a7b3b","Title":"Mr.","FirstName":"Kotaro","LastName":"Sawai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Sawai K"},{"PresentationId":"6e3e1f9c-cbb8-42ec-9bde-8dfba51a7b3b","Title":"Dr.","FirstName":"Emi","LastName":"Yamaguchi","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Yamaguchi E"},{"PresentationId":"6e3e1f9c-cbb8-42ec-9bde-8dfba51a7b3b","Title":"Ms.","FirstName":"Sonoko","LastName":"Kondo","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Kondo S"},{"PresentationId":"6e3e1f9c-cbb8-42ec-9bde-8dfba51a7b3b","Title":"Mr.","FirstName":"Takehisa","LastName":"Yamamoto","Position":"Deputy Leader","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Yamamoto T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6e3e1f9c-cbb8-42ec-9bde-8dfba51a7b3b","Number":1,"Affiliation":"National Institute of Animal Health, National Agriculture And Food Research Organization","City":"Tsukuba","State":"Ibaraki","Country":"Japan","AffiliationDisplay":"National Institute of Animal Health, National Agriculture And Food Research Organization, Tsukuba Ibaraki, Japan"}],"AuthorsHtml":"Hayama Y1, Murato Y1, Sawai K1, Yamaguchi E1, Kondo S1, Yamamoto T1","AffiliationsHtml":"
1National Institute of Animal Health, National Agriculture And Food Research Organization, Tsukuba Ibaraki, Japan
"},{"Title":"Pig farm vaccination against classical swine fever protects infection from wild boar","Bio":null,"PresentationTypeName":"Poster (ISVEE to print/put up poster)","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5eb257e0-946f-47de-ac38-59e0f46f4dcc","Html":null,"PlainText":"1. Objectives
In 2018, classical swine fever (CSF) re-emerged in the Gifu Prefecture, central Japan, causing an ongoing outbreak among wild boars and pigs. To protect against infection from wild boar, compulsory vaccination for pig farms started in October 2019. This study aimed to evaluate the transmission risk from wild boars to pig farms, comparing pre-and post-vaccination periods.

2. Materials and methods
In the pre-vaccination period, epidemiological data in Gifu Prefecture from September 2018 to March 2019 were used, including 171 1-km grid-cells with wild boar infection and 13 infected and 34 uninfected farms. In the post-vaccination period, epidemiological data in Kanto and Kinki regions between October 2019 and April 2021 were used. In Kanto, 207 infected grid-cells and four infected and 416 uninfected farms were included, and in Kinki, 417 infected grid-cells and four infected and 112 uninfected farms. To reconstruct the transmission process from infected wild boar to a pig farm, transmission kernels were estimated by fitting the epidemiological data using the maximum-likelihood estimation.

3. Results
In the pre-vaccination period, the estimated kernel showed a higher probability of short-distance transmission from infected wild boar to pig farms. Transmission rates in the post-vaccination period were much lower than that in the pre-vaccination period; transmission rates in the pre-vaccination period decreased to almost 1% of that in the pre-vaccination period. When one infected grid-cell was detected within 1 km of a farm, the probability of infection within 300 days was almost 95% in the pre-vaccination period and less than 5% in the post-vaccination period.

4. Conclusion
Vaccination on pig farms effectively reduced the transmission risk from wild boar. However, considering the infection risk of weaning pigs unvaccinated on the farms, strict biosecurity measures and appropriate vaccination program are required to prevent CSF on pig farms.

keywords: CSF, wild boar, pig","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5eb257e0-946f-47de-ac38-59e0f46f4dcc","Title":"Dr.","FirstName":"Yoko","LastName":"Hayama","Position":"Senior Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hayama Y"},{"PresentationId":"5eb257e0-946f-47de-ac38-59e0f46f4dcc","Title":"Mr.","FirstName":"Yoshinori","LastName":"Murato","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Murato Y"},{"PresentationId":"5eb257e0-946f-47de-ac38-59e0f46f4dcc","Title":"Mr.","FirstName":"Kotaro","LastName":"Sawai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Sawai K"},{"PresentationId":"5eb257e0-946f-47de-ac38-59e0f46f4dcc","Title":"Dr.","FirstName":"Emi","LastName":"Yamaguchi","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Yamaguchi E"},{"PresentationId":"5eb257e0-946f-47de-ac38-59e0f46f4dcc","Title":"Ms.","FirstName":"Sonoko","LastName":"Kondo","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Kondo S"},{"PresentationId":"5eb257e0-946f-47de-ac38-59e0f46f4dcc","Title":"Mr.","FirstName":"Takehisa","LastName":"Yamamoto","Position":"Deputy Leader","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Yamamoto T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5eb257e0-946f-47de-ac38-59e0f46f4dcc","Number":1,"Affiliation":"National Institute of Animal Health, National Agriculture And Food Research Organization","City":"Tsukuba","State":"Ibaraki","Country":"Japan","AffiliationDisplay":"National Institute of Animal Health, National Agriculture And Food Research Organization, Tsukuba Ibaraki, Japan"}],"AuthorsHtml":"Hayama Y1, Murato Y1, Sawai K1, Yamaguchi E1, Kondo S1, Yamamoto T1","AffiliationsHtml":"
1National Institute of Animal Health, National Agriculture And Food Research Organization, Tsukuba Ibaraki, Japan
"}],"DisplayName":"Yoko Hayama","TimeDisplay":null},{"ContactId":"19dfdccc-d217-4915-bbfc-94b87ac4b14a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Maj Beldring","LastName":"Henningsen","Position":"","Organization":"University of Copenhagen","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/043436c4cf0c44d6a15bfd186a411c9b","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Modelling of Somatic Cell Count curves for early detection of intramammary infections in Dairy Cattle","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"dd69f228-2c5b-4531-b328-0906c0af3cd2","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"81e4ad10-37c3-40be-8b6a-f06086b7229b","Html":null,"PlainText":"Model-based early warnings based on routinely collected Somatic Cell Count (SCC) data can be a benefit to farmers to identify possible intramammary infections (IMI). The primary objective of our study was to assess existing lactation curve models for fit to SCC, and create a tool for evaluating fluctuations in SCC during lactation with regards to potential IMI. Our secondary objective was to evaluate the effect of IMI and treatments on SCC during the lactation.

Our study included routinely recorded data from 2010-2020 for dairy cows from herds with 11 annual screenings for SCC on cow-level in Denmark. We focused on two models: the Wood’s and the Wilmink lactation curves, which we inverted for use with SCC rather than milk yield. We fitted the log transformed SCC test results over days in milk using non-linear mixed effects models, nonlinear least square models and generalized additive models, both at herd and animal level. Simulated data were used to assess the performance of the models.

We found that the Wilmink function with four free parameters better described the SCC curves than Wood’s function with three free parameters. The use of SCC data fitted to the entire lactation can be useful to better identify overall differences in SCC between cattle with and without IMI. This allows routinely collected SCC data to be used to support treatment decisions.

We have made our methods freely available as an R package, and invite other interested researchers to collaborate: https://github.com/ku-awdc/woodcurvebox

Fig: Somatic Cell Count curves with simulated infections ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"81e4ad10-37c3-40be-8b6a-f06086b7229b","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/81a3d402f0864baca04aa200d621a3ed","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"81e4ad10-37c3-40be-8b6a-f06086b7229b","Title":"Ms.","FirstName":"Maj Beldring","LastName":"Henningsen","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Henningsen M"},{"PresentationId":"81e4ad10-37c3-40be-8b6a-f06086b7229b","Title":"Mr.","FirstName":"Mossa Merhi","LastName":"Reimert","Position":"PhD Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Reimert M"},{"PresentationId":"81e4ad10-37c3-40be-8b6a-f06086b7229b","Title":"Dr.","FirstName":"Matt","LastName":"Denwood","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Denwood M"},{"PresentationId":"81e4ad10-37c3-40be-8b6a-f06086b7229b","Title":"Dr.","FirstName":"Maya Katrin","LastName":"Gussmann","Position":"Assistant professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Gussmann M"},{"PresentationId":"81e4ad10-37c3-40be-8b6a-f06086b7229b","Title":"Dr.","FirstName":"Carsten Thure","LastName":"Kirkeby","Position":"Senior researcher","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Kirkeby C"},{"PresentationId":"81e4ad10-37c3-40be-8b6a-f06086b7229b","Title":"Prof.","FirstName":"Søren Saxmose","LastName":"Nielsen","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Nielsen S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"81e4ad10-37c3-40be-8b6a-f06086b7229b","Number":1,"Affiliation":"Department of Veterinary and Animal Sciences","City":"Frederiksberg","State":"Copenhagen","Country":"Denmark","AffiliationDisplay":"Department of Veterinary and Animal Sciences, Frederiksberg Copenhagen, Denmark"}],"AuthorsHtml":"Henningsen M1, Reimert M1, Denwood M1, Gussmann M1, Kirkeby C1, Nielsen S1","AffiliationsHtml":"
1Department of Veterinary and Animal Sciences, Frederiksberg Copenhagen, Denmark
"}],"DisplayName":"Maj Beldring Henningsen","TimeDisplay":null},{"ContactId":"ebf0c63d-207a-4bf2-8588-020445ad570b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Maggie","LastName":"Henry","Position":"","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/69984d83026e456aa3aacff3deb41565","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Modeling the Ontario swine production flow to prepare for possible outbreaks of contagious diseases","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"90db49d6-f56c-477f-a2db-a635a47a40ee","Html":null,"PlainText":"Objective: The SARS-CoV2 pandemic caused closures of swine packing plants and inconsistent labour availability, resulting in severe disruption to swine operations. These disruptions highlighted the sensitivity of swine flow to disturbances of human disease and created questions concerning the robustness of the Ontario and Canadian swine production system in the event of a foreign animal disease. A model was created to explore how to mitigate flow disruptions should another contagious disease emerge in human or swine populations in Canada.
Materials and Methods: Anylogic software was used to create a Ontario swine production flow system, using process modeling. All production stages are included from open sows to finishing pigs, and an abattoir flow with pork cuts terminates the model. Mitigation measures to reduce swine flow will be introduced to determine the impact of meat processing as well as numbers of animals that would be necessary to cull or diverge from the current system.
Results: The model begins with open sows, then, after confirmation of pregnancy, sows and their future progeny, flow through the model. Each stage of production has corresponding delay blocks; each representing one week in the life of the pig. An abattoir system, and the specific pork cuts are modeled to demonstrate the pork output in the current environment and hypothetical situations where export countries’ borders are closed to Canadian pork.
Conclusions: The model will allow hypothetical situations to be investigated in a risk-free environment. Once developed, the system could be used for situations due to contagious diseases in human populations, or emergence of a foreign animal disease in pigs. Both scenarios could result in severe disruptions of pork marketing, with implications for animal health and welfare, profitability of individual farms, livelihood of producers, and the social fabric of many rural communities in Ontario.

Keywords: modeling, swine flow, disruptions


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"90db49d6-f56c-477f-a2db-a635a47a40ee","Title":"Dr.","FirstName":"Maggie","LastName":"Henry","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Henry M"},{"PresentationId":"90db49d6-f56c-477f-a2db-a635a47a40ee","Title":"Dr.","FirstName":"Robert M.","LastName":"Friendship","Position":"Associate professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Friendship R"},{"PresentationId":"90db49d6-f56c-477f-a2db-a635a47a40ee","Title":"Dr.","FirstName":"Zvonimir","LastName":"Poljak","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Poljak Z"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"90db49d6-f56c-477f-a2db-a635a47a40ee","Number":1,"Affiliation":"University Of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"University Of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Henry M1, Friendship R, Poljak Z","AffiliationsHtml":"
1University Of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Maggie Henry","TimeDisplay":null},{"ContactId":"cc696b0f-9cec-47f4-aa05-6130855d8d7e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Organization":"Charles Sturt University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7779f4452f134313bf967a7fcb071c09","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Understanding opportunities for improving biosecurity communication to livestock smallholders in Australia","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5eb9eb25-73d4-410f-8a7d-07500eed8c4c","Html":null,"PlainText":"Objectives: Small-scale producers are perceived to pose a high biosecurity risk for livestock disease outbreaks. The potential to early detect an introduced disease across Australia is highly dependent upon smallholder actions; with smallholdings being common and increasing. Reaching smallholders with biosecurity requirements and training is crucial, with research indicating that many within this group have limited farming knowledge and skills. Improved extension and communication networks would increase producers’ active engagement with their livestock industry; potentially decreasing the risk of disease. This study aimed to inform options for the design of a national network of smallholder groups.

Materials and methods: Using a mixed method approach, involving interviews with key stakeholder organisations and an online cross-sectional study among smallholders, current smallholder farming groups and networks in Australia, the distribution of smallholders, the current level of smallholder participation in existing groups and key features of successful groups were investigated.

Results: Interviews were completed with twelve smallholder networks, and 251 smallholders participated in the cross-sectional study. Findings highlight that there is no national network of support for smallholders. Whilst there are some groups providing support to smallholders, an opportunity exists for expansion of geographic coverage and scope to include biosecurity. Furthermore, most smallholders (87.9%) would be interested in membership if a new network was established in their area. Key requirements for the ongoing success of groups are a business case for funding and a scope beyond biosecurity and animal health, including livestock production matters.

Conclusion: This study suggest that a collaborative approach and coordination is needed at a national or state level, working together with the regions and existing networks and including government and industry bodies, to develop a cohesive support system for smallholders to improve their awareness of and engagement with biosecurity.

Keywords: Smallholder, biosecurity, networks, engagement
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5eb9eb25-73d4-410f-8a7d-07500eed8c4c","Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Hernandez-Jover M"},{"PresentationId":"5eb9eb25-73d4-410f-8a7d-07500eed8c4c","Title":"Ms","FirstName":"Lynne","LastName":"Hayes","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Hayes L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5eb9eb25-73d4-410f-8a7d-07500eed8c4c","Number":1,"Affiliation":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5eb9eb25-73d4-410f-8a7d-07500eed8c4c","Number":2,"Affiliation":"Gulbali Institute, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia"}],"AuthorsHtml":"Hernandez-Jover M1,2, Hayes L1,2","AffiliationsHtml":"
1School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia
2Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia
"},{"Title":"Assessing the impact of behaviour change intervention strategies on biosecurity and African Swine Fever preparedness in the pig industry in Australia","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Html":null,"PlainText":"Objectives: With the recent spread of African Swine Fever (ASF) in neighboring countries, strengthening Australia’s preparedness against this disease is key for protecting the pork industry. On-farm biosecurity significantly contributes to this preparedness. This study aimed to investigate the influence of government-led behaviour change strategies on producer biosecurity engagement across different sectors of the pig industry.

Materials and methods: A benchmark and an evaluation study, using cross-sectional online surveys and semi-structured interviews, were used, before (March 2020) and after (September 2021) the implementation of government-led intervention strategies. Strategies included one-on-one biosecurity management planning support, biosecurity awareness social media campaigns and producer workshops.

Results: A total of 187 and 77 responses were obtained in the benchmark and evaluation surveys, respectively. Most survey participants identified as non-commercial producers keeping pigs for home consumption or as pets. Just under half (46%) of evaluation survey respondents reported engagement with one or more of the intervention strategies. Despite a high level of biosecurity awareness, biosecurity understanding and practice were low, especially among non-commercial producers, and no significant differences were observed over time at a population level. However, over a third of evaluation survey respondents reported an increase in ASF concern and 20% of participants recorded a change in their biosecurity practices, with those keeping pigs for commercial reasons and those exposed to the intervention strategies more likely to report a change.

Conclusions: The intervention strategies had a positive impact on biosecurity practices of some individuals; however, the overall impact of these strategies to the population was low due to the limited initial engagement with these strategies. A better understanding of the reasons for the low population level engagement and the benefits of targeted strategies for high-risk sectors is needed to improve effectiveness of future intervention strategies.

Keywords: Biosecurity, behaviour change, African Swine Fever preparedness","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hernandez-Jover M"},{"PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Title":"Dr","FirstName":"Nicole","LastName":"Schembri","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Schembri N"},{"PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Title":"Ms","FirstName":"Jessica","LastName":"Rees","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Rees J"},{"PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Title":"Ms","FirstName":"Lynne","LastName":"Hayes","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Hayes L"},{"PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Title":"Dr.","FirstName":"Jennifer","LastName":"Manyweathers","Position":"Senior Lecturer In Epidemiology And Ruminant Health","Affiliations":"1,2","IsPresenting":false,"SortOrder":5,"DisplayName":"Manyweathers J"},{"PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Title":"Ms.","FirstName":"Victoria","LastName":"Brookes","Position":"Lecturer Evidence-based Practice","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Brookes V"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Number":1,"Affiliation":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Number":2,"Affiliation":"Gulbali Institute, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Number":3,"Affiliation":"New South Wales Department of Primary Industries","City":"Sydney","State":"NSW","Country":"Australia","AffiliationDisplay":"New South Wales Department of Primary Industries, Sydney NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e037380a-8bd5-4467-9170-726ecc154b81","Number":4,"Affiliation":"Sydney School of Veterinary Science, Faculty of Science, University of Sydney","City":"Camperdown","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Camperdown NSW, Australia"}],"AuthorsHtml":"Hernandez-Jover M1, Schembri N3, Rees J1,2, Hayes L1,2, Manyweathers J1,2, Brookes V4","AffiliationsHtml":"
1School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia
2Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia
3New South Wales Department of Primary Industries, Sydney NSW, Australia
4Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Camperdown NSW, Australia
"},{"Title":"Understanding biosecurity and emergency animal disease preparedness in the pig industry in Australia","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Html":null,"PlainText":"Objectives: Appropriate on-farm implementation of biosecurity and animal health practices is crucial for the prevention of disease introduction and early disease detection and emergency animal disease preparedness. For the pig industry in Australia, this is particularly relevant given the increasing risk of African Swine Fever (ASF), due to the country’s proximity to regions impacted by this disease. This study investigated attitudes and behaviours of pig owners/producers around on-farm biosecurity planning, to identify gaps and barriers in biosecurity implementation and best strategies to improve biosecurity engagement.

Materials and methods: Using a human-centered design, a cross-sectional study using an online survey complemented by interviews to triangulate the results, was used to gather information on biosecurity behaviour and attitudes and ASF preparedness among pig owners/producers.

Results: The survey generated 187 responses, with 14 producers being interviewed. Based on their self-reported reason for keeping pigs, different types of pig owners/producers were identified, with most respondents keeping pigs for home consumption or as pets. Most participants (89.2%) were aware of biosecurity planning, however, only 30.7% had a written plan. The main barrier to developing a plan was their perception of already having good practices and the low biosecurity risk posed by their property. Engagement with other biosecurity practices, such as isolating incoming animals and visitor biosecurity, was low. Despite most reporting high level of ASF concern, awareness of the disease was low. Throughout the survey, lower biosecurity engagement was observed among those keeping pigs for non-commercial reasons.

Conclusions: This study provides insights into current ASF preparedness among the pig industry and identifies motivations for keeping pigs as a key driver for producers’ biosecurity practices and pig management. Understanding motivations and the needs of different producer types is crucial for any extension campaign to be successful.


Keywords: Biosecurity, pig producers, African Swine Fever preparedness, Australia

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Hernandez-Jover M"},{"PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Title":"Dr","FirstName":"Nicole","LastName":"Schembri","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Schembri N"},{"PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Title":"Ms","FirstName":"Lynne","LastName":"Hayes","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Hayes L"},{"PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Title":"Dr.","FirstName":"Jennifer","LastName":"Manyweathers","Position":"Senior Lecturer In Epidemiology And Ruminant Health","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Manyweathers J"},{"PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Title":"Ms.","FirstName":"Victoria","LastName":"Brookes","Position":"Lecturer Evidence-based Practice","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Brookes V"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Number":1,"Affiliation":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Number":2,"Affiliation":"Gulbali Institute, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Number":3,"Affiliation":"New South Wales Department of Primary Industries","City":"Sydney","State":"NSW","Country":"Australia","AffiliationDisplay":"New South Wales Department of Primary Industries, Sydney NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"42ce5394-0c7b-4956-9bc5-8b3408d0265b","Number":4,"Affiliation":"Sydney School of Veterinary Science, Faculty of Science, University of Sydney","City":"Camperdown","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Camperdown NSW, Australia"}],"AuthorsHtml":"Hernandez-Jover M1,2, Schembri N3, Hayes L1,2, Manyweathers J1,2, Brookes V4","AffiliationsHtml":"
1School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia
2Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia
3New South Wales Department of Primary Industries, Sydney NSW, Australia
4Sydney School of Veterinary Science, Faculty of Science, University of Sydney, Camperdown NSW, Australia
"},{"Title":"The veterinary profession’s contribution to animal health surveillance in Australia","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"59a6345c-0a5e-4145-929d-90dd09b5ca21","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Html":null,"PlainText":"Objectives: Animal health surveillance is crucial for early detection of emergency animal diseases and a rapid and effective responses. Surveillance systems are however complex and rely on actions of several animal health stakeholders. Veterinarians are a key stakeholder of this system, given their role and skills in diagnosing and investigating disease and their interactions with producers, who considers them a trusted and influential stakeholder. This study investigated the contribution of the veterinary workforce to the Australian animal health surveillance system and the opportunities for future involvement.
Materials and methods: This study used an online cross-sectional study and semi-structured qualitative interviews among the veterinary profession. Descriptive statistics and regression analyses were conducted with survey data, to provide an overview and drivers of practices and attitudes of veterinarians in relation to animal health surveillance. Thematic qualitative analyses were used for the interview data.
Results: A total of 311 veterinarians participated in the cross-sectional study and 17 private veterinarians were interviewed. Results demonstrate that private veterinarians are aware of their responsibilities and engaged in some surveillance activities. Approximately 40% of veterinarians had taken samples for diagnosis where a notifiable disease was suspected in the last year, with just over 20% reporting a notifiable disease. Almost half (49.5%) of respondents were awareness of current surveillance programs available for veterinarians. In addition, approximately half of survey participants reported being interested and available to undertake surveillance work on behalf of the government. However, key challenges identified were related to workload, remuneration, conflicts of interest and shared responsibility.
Conclusion: The study suggests while the veterinary profession contributes significantly to the surveillance system; their capacity and willingness to increase involvement is dependent on clearly addressing an already heavy workload, adequate remuneration and providing clarity on their role and responsibilities within this space.

Keywords: Veterinary profession, animal health surveillance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Hernandez-Jover M"},{"PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Title":"Ms","FirstName":"Lynne","LastName":"Hayes","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Hayes L"},{"PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Title":"Ms","FirstName":"Emma","LastName":"Davis","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Davis E"},{"PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Title":"Dr","FirstName":"Jennifer","LastName":"Manyweather","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Manyweather J"},{"PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Title":"Dr","FirstName":"Yiheyis","LastName":"Maru","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Maru Y"},{"PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Title":"Dr","FirstName":"Robert","LastName":"Woodgate","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Woodgate R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Number":1,"Affiliation":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Number":2,"Affiliation":"Gulbali Institute, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Number":3,"Affiliation":"Commonwealth Scientific and Industrial Research Organisation","City":"Canberra","State":"ACT","Country":"Australia","AffiliationDisplay":"Commonwealth Scientific and Industrial Research Organisation, Canberra ACT, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"131a422f-c83e-42cb-98ba-bb5cc7912e07","Number":4,"Affiliation":"Global Veterinary Solutions Pty. Ltd","City":"Yass","State":"NSW","Country":"Australia","AffiliationDisplay":"Global Veterinary Solutions Pty. Ltd, Yass NSW, Australia"}],"AuthorsHtml":"Hernandez-Jover M1,2, Hayes L1,2, Davis E4, Manyweather J1,2, Maru Y3, Woodgate R1,2","AffiliationsHtml":"
1School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia
2Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia
3Commonwealth Scientific and Industrial Research Organisation, Canberra ACT, Australia
4Global Veterinary Solutions Pty. Ltd, Yass NSW, Australia
"}],"DisplayName":"Marta Hernandez-Jover","TimeDisplay":null},{"ContactId":"1d735ee9-4585-4b4f-9a9a-a76e2fd62a54","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Emily","LastName":"Herring","Position":"Graduate Research Assistant","Organization":"University of Georgia","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Impact of the fecal microbiome on subclinical Salmonella shedding in horses","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Html":null,"PlainText":"Objectives: Subclinical shedding of Salmonella in horses is more common than clinical disease and more likely to go undetected, posing a persistent biosecurity risk to equine facilities. Known risk factors for Salmonella positivity suggest that disruptions of the gastrointestinal microflora play a key role in initiating fecal Salmonella shedding; elucidating these microbial drivers is critical to developing targeted interventions to prevent transmission of Salmonella from subclinical horses. This study aimed to characterize the fecal taxonomic profile of horses with subclinical salmonellosis and correlate changes in Salmonella shedding status over time with shifts in the fecal microbiome.

Materials and methods: Six adult horses from a resident herd at a veterinary teaching hospital with fecal culture-confirmed subclinical salmonellosis were included. Samples from a prospective longitudinal study were selected for retrospective analysis. For each horse, serial Salmonella fecal cultures were performed weekly for 8 weeks. DNA was isolated from banked fecal samples (n = 48) and subjected to PCR amplification and 16S rRNA amplicon sequencing.

Results: Genus-level alpha diversity did not differ significantly over time or by Salmonella shedding status (linear mixed model ANOVA; P = 0.38, P = 0.14). Horses that resumed shedding Salmonella after ≥ 4 consecutive negative cultures (considered truly Salmonella-negative) experienced a simultaneous decrease in the relative abundance of Proteobacteria.

Conclusions: While microbial diversity of the fecal microbiome does not appear to drive fecal Salmonella shedding among subclinical horses, it is possible that a decrease in Proteobacteria creates an ecological niche that allows Salmonella to proliferate.

Keywords: equine, Salmonella, microbiome
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Title":"Dr.","FirstName":"Emily","LastName":"Herring","Position":"Graduate Research Assistant","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Herring E"},{"PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Title":"Dr.","FirstName":"Tara","LastName":"Gaire","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Gaire T"},{"PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Title":null,"FirstName":"Jessica","LastName":"Brown","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Brown J"},{"PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Title":"Dr.","FirstName":"Erin","LastName":"Groover","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Groover E"},{"PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Title":"Dr.","FirstName":"Noelle","LastName":"Noyes","Position":"Assistant Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Noyes N"},{"PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Title":"Dr.","FirstName":"Brandy","LastName":"Burgess","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Burgess B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Number":1,"Affiliation":"Department of Population Health, University Of Georgia","City":"Athens","State":"GA","Country":"USA","AffiliationDisplay":"Department of Population Health, University Of Georgia, Athens GA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Number":2,"Affiliation":"Department of Veterinary Population Medicine, University of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"Department of Veterinary Population Medicine, University of Minnesota, St. Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecddff42-fd06-4fa5-b88e-6ad5ee2c84fc","Number":3,"Affiliation":"Department of Clinical Sciences, Auburn University","City":"Auburn","State":"AL","Country":"USA","AffiliationDisplay":"Department of Clinical Sciences, Auburn University, Auburn AL, USA"}],"AuthorsHtml":"Herring E1, Gaire T2, Brown J3, Groover E3, Noyes N2, Burgess B1","AffiliationsHtml":"
1Department of Population Health, University Of Georgia, Athens GA, USA
2Department of Veterinary Population Medicine, University of Minnesota, St. Paul MN, USA
3Department of Clinical Sciences, Auburn University, Auburn AL, USA
"},{"Title":"Use of CRISPR-SeroSeq to detect multiple Salmonella serotypes in equine fecal samples","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a1e1cd1d-6619-4ecf-9d28-05e2eb0547c3","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.E - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"a25fa7b9-fa1f-4155-bc33-5eb2c048fcb7","Html":null,"PlainText":"Objectives: By convention, Salmonella shedding status among horses is characterized using a single isolate per sample. However, in a recent longitudinal study, we found that 18% of horses shed multiple serotypes and that the majority of these horses were subclinically affected, suggesting a healthy gastrointestinal microbiome may restrict proliferation of a single serotype. CRISPR-SeroSeq is a novel sequencing technology that can identify multiple Salmonella serotypes in a single sample. The objective of this study was to employ CRISPR-SeroSeq to compare serotype diversity between horses with clinical and subclinical salmonellosis.

Materials and methods: Thirty-five Salmonella-positive horses (12 clinical, 23 subclinical) identified through a network of veterinary hospitals in the U.S. were included. DNA was isolated from frozen Salmonella-positive tetrathionate-enriched fecal cultures (n = 35) derived from a prospective longitudinal study. Salmonella CRISPR sequences were PCR-amplified, barcoded for indexing, and pooled libraries were sequenced to determine serovar diversity.

Results: Among 35 horses included in this study, multiple serotypes were detected in enriched cultures from 7 horses (20%). Serotypes most commonly found in combination with others included Oranienburg, Javiana, Newport, and Typhimurium. CRISPR sequences were successfully amplified in 69% of samples (24/35); PCR cycles ranged from 25-28 indicating a low level of Salmonella shedding among these horses.

Conclusions: Horses, particularly those with subclinical infections, can shed multiple Salmonella serotypes. CRISPR-SeroSeq may provide a more sensitive method to identify serotypes shed at low levels within a fecal sample and an opportunity to determine the clinical significance of multi-serotype infections in horses.

Keywords: equine, Salmonella, diagnostic testing
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a25fa7b9-fa1f-4155-bc33-5eb2c048fcb7","Title":"Dr.","FirstName":"Emily","LastName":"Herring","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Herring E"},{"PresentationId":"a25fa7b9-fa1f-4155-bc33-5eb2c048fcb7","Title":"Dr.","FirstName":"Nikki","LastName":"Shariat","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Shariat N"},{"PresentationId":"a25fa7b9-fa1f-4155-bc33-5eb2c048fcb7","Title":"Dr.","FirstName":"Brandy","LastName":"Burgess","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Burgess B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a25fa7b9-fa1f-4155-bc33-5eb2c048fcb7","Number":1,"Affiliation":"Department of Population Health, University Of Georgia","City":"Athens","State":"GA","Country":"USA","AffiliationDisplay":"Department of Population Health, University Of Georgia, Athens GA, USA"}],"AuthorsHtml":"Herring E1, Shariat N1, Burgess B1","AffiliationsHtml":"
1Department of Population Health, University Of Georgia, Athens GA, USA
"}],"DisplayName":"Emily Herring","TimeDisplay":null},{"ContactId":"2ddbef33-bcd7-407c-b21d-2aedef4b5cf6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Julia","LastName":"Hertl","Position":"Research Aide","Organization":"Cornell University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Effects of pathogen-specific clinical mastitis occurrence in the first 100 days of lactation 1 on future mastitis occurrence in Holstein dairy cows","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"000e7006-a4de-44ac-9754-75b14228ffca","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.A - Production diseases","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"20a42a50-a0a3-457f-b6fa-595a1f3fd516","Html":null,"PlainText":"Introduction and Objective: Clinical mastitis (CM) is of great concern to the dairy industry worldwide. It may occur repeatedly throughout a cow’s lifetime, and be due to any of a number of different organisms. It is of interest to understand the importance of CM early in productive life, and whether it is predictive of future CM cases. Accordingly, the objective of this study was to estimate the effects of early-occurring (in the first 100 d of Lactation 1) CM due to different pathogens on the future rate of CM (occurring after the first 100 d of Lactation 1, until the end of lifetime (due to death or sale)) due to different pathogens.

Materials and Methods: Data, including information on CM cases (pathogens of interest: Streptococcus spp., Staphylococcus aureus, Staphylococcus spp., Escherichia coli, Klebsiella spp., cases with no growth) and event dates (death, sale), were collected from 14,440 cows with completed lifetimes in 5 New York State Holstein herds from 2004 until 2014. Generalized linear mixed models with a Poisson distribution and log link function were fit for each pathogen. The individual cow was the unit of analysis.

Results: E. coli and cases with no growth were predictors for future occurrence of Staphylococcus spp., E. coli, and Klebsiella spp. CM, and cases with no growth. Klebsiella spp. was also a predictor of cases with no growth.

Conclusion: Early-occurring E. coli and CM cases with no growth were consistent predictors of future occurrence of several types of CM. The findings may help in management of young cows with CM in early productive life, especially those with E. coli or CM with no growth, in that they may be more susceptible to future CM cases, due to various pathogens, in later productive life.

Keywords: Dairy cows, mastitis, pathogen-specific, recurrent, generalized linear mixed models","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"20a42a50-a0a3-457f-b6fa-595a1f3fd516","Title":"Miss","FirstName":"Julia","LastName":"Hertl","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hertl J"},{"PresentationId":"20a42a50-a0a3-457f-b6fa-595a1f3fd516","Title":"Dr.","FirstName":"Ynte","LastName":"Schukken","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Schukken Y"},{"PresentationId":"20a42a50-a0a3-457f-b6fa-595a1f3fd516","Title":"Dr.","FirstName":"Loren","LastName":"Tauer","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Tauer L"},{"PresentationId":"20a42a50-a0a3-457f-b6fa-595a1f3fd516","Title":"Dr.","FirstName":"Yrjo","LastName":"Grohn","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Grohn Y"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"20a42a50-a0a3-457f-b6fa-595a1f3fd516","Number":1,"Affiliation":"Cornell University","City":"Corning","State":"NY","Country":"USA","AffiliationDisplay":"Cornell University, Corning NY, USA"}],"AuthorsHtml":"Hertl J1, Schukken Y, Tauer L, Grohn Y","AffiliationsHtml":"
1Cornell University, Corning NY, USA
"}],"DisplayName":"Julia Hertl","TimeDisplay":null},{"ContactId":"19748765-91b7-4707-8cf7-d223b1cec277","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Luis Pablo","LastName":"Herve Claude","Position":"","Organization":"Ross University School Of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/60d8632643d94c52aa8373fdfa271698","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Antimicrobial resistance patterns observed in enterobacteriaceae isolated from sheep fecal material after the prophylactic use of penicillin ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ac22d86c-5e73-416a-a685-70d56147ee2b","Html":null,"PlainText":"Antimicrobial resistance is an important one-health issue worldwide, and the phenomena occurring in livestock and food animals is especially important as they give origin to food, an obviously straightforward way of connecting livestock bacteria with the human population.

Objectives
The objective is to evaluate the effect of therapeutic / preventative penicillin use in sheep and its potential impact on enterobacteria isolated from sheep.

Materials and methods
Sheep fecal samples were collected before surgery and followed by two additional samples at day 14 after the surgery plus at the end of the semester. Samples were analyzed in the RUSVM diagnostic laboratory using a classic microbiology and growth in agar plates. The isolated colonies were tested for an extended phenotypic antimicrobial resistance panel (19 antimicrobials) using Sensititer (Thermo Scientific®) and the Gram-Negative Companion Plate Format (COMPGN1F). MIC results were recorded and further analyzed to establish trends in both variety and frequency of antimicrobial resistance findings.

Results
Sensititre resistance pattern showed a relatively low prevalence of enterobacteria resistant isolate, only finding resistant isolates for 10 or the 19 antimicrobials tested, namely Amoxicillin/Clavulanic acid (AUG), Ampicillin (AMP), Cephalexin (LEX), Cefazolin (FAZ), Cefpodoxime (POD), Chloramphenicol (CHL), Doxycycline (DOX), Imipenem (IMI), Tetracycline (TET) and Trimethoprim/Sulfamethoxazole (SXT). Most of them decreased their relative frequency after the application of penicillin only to bounce back later in time (FAZ, TET, DOX, CHL, LEX, IMI, POD, SXT). The relative frequency of resistant colonies increased after exposure to penicillin for AMP and AUG only to decrease after the 2-week period. In total, 28 different enterobacteriaceae isolates had at least resistance to one antimicrobial, being those mainly E. coli, Proteus mirabilis, Klebsiella penumoniae and Enterobacter aerogenes.

Conclusions
Penicillin appears to have a relevant impact on antimicrobial resistance levels even in Gram negative colonies, at least for a short term.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ac22d86c-5e73-416a-a685-70d56147ee2b","Title":"Dr.","FirstName":"Luis Pablo","LastName":"Herve Claude","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Herve Claude L"},{"PresentationId":"ac22d86c-5e73-416a-a685-70d56147ee2b","Title":"Dr.","FirstName":"Aspinas","LastName":"Chapwanya","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Chapwanya A"},{"PresentationId":"ac22d86c-5e73-416a-a685-70d56147ee2b","Title":"Dr.","FirstName":"Maria Jose","LastName":"Navarrete Talloni","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Navarrete Talloni M"},{"PresentationId":"ac22d86c-5e73-416a-a685-70d56147ee2b","Title":null,"FirstName":"Valerie","LastName":"Cwiek","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Cwiek V"},{"PresentationId":"ac22d86c-5e73-416a-a685-70d56147ee2b","Title":"Dr.","FirstName":"Ananda","LastName":"Mueller","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Mueller A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ac22d86c-5e73-416a-a685-70d56147ee2b","Number":1,"Affiliation":"Ross University School Of Veterinary Medicine","City":"Basseterre","State":"St. Kitts","Country":"St. Kitts and Nevis","AffiliationDisplay":"Ross University School Of Veterinary Medicine, Basseterre St. Kitts, St. Kitts and Nevis"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ac22d86c-5e73-416a-a685-70d56147ee2b","Number":2,"Affiliation":"Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"Santiago","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile"}],"AuthorsHtml":"Herve Claude L1,2, Chapwanya A1, Navarrete Talloni M1, Cwiek V1, Mueller A1","AffiliationsHtml":"
1Ross University School Of Veterinary Medicine, Basseterre St. Kitts, St. Kitts and Nevis
2Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile
"},{"Title":"Environmental, productive and animal associated factors influencing the presence of high strongylus eggs per gram counts in sheep","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a16a66a7-b71c-46e1-924e-61f777a167f6","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Html":null,"PlainText":"Introduction
Sheep strongylus infestations are a major burden worldwide, especially grazing animals. In southern Chile, there is a relevant population of sheep, that provides source of income through meat, wool and, in a minor extent, milk and cheese to a large segment of rural indigenous people. This study used a targeted convenience sample of indicator farms in the Araucanía region, to identify risk factors associated with higher strongylus infestations.

Materials and methods
Ten sheep farms were sampled for a 3-year period, once per season (4 times a year), totaling 12 sampling events per farm. A group of between 20 to 30 sheep were sampled through rectal stimulation and coprological analyses were performed using McMaster to calculate the eggs per gram (EPG) count. General productive information, plus local weather data was collected. A logistic regression model using PROC GLIMMIX in SAS was developed (Backward selection) considering the sampling event and the farm and random factors, to identify risk factor associated with high EPG (>200 eggs per gram count) in adult sheep.

Results
Results indicated an average of between 88 and 244 strongylus EPG per farm. Winter was the season were higher infestation levels were observed in average with 373 EPG. In contrast, Summer showed much lower levels with only 173 EPG. Body Score Condition indicated significant differences with BCS 2 showing the highest infestation levels (373 EPG) vs BCS 4 with the lowest (173 EPG). Modelling indicated that main risk factors for >=200 EPG strongylus infestation levels were Season, body score condition and humidity.

Conclusions
Main conclusions are that, although season and humidity cannot be controlled, management to ensure proper BCS when in that period may prove a major component on reducing strongylus infestations and its negative consequences in grazing sheep in southern Chile.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Title":"Dr. ","FirstName":"Marcelo","LastName":"Herve Fernandez","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":1,"DisplayName":"Herve Fernandez M"},{"PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Title":"Dr.","FirstName":"Francisco","LastName":"Astorga","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Astorga F"},{"PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Title":"Dr.","FirstName":"Fernando","LastName":"Fredes","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Fredes F"},{"PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Title":"Dr.","FirstName":"Santiago","LastName":"Urcelay Vicente","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Urcelay Vicente S"},{"PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Title":"Dr.","FirstName":"Paciencia","LastName":"Nanga","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Nanga P"},{"PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Title":"Dr.","FirstName":"Luis Pablo","LastName":"Herve Claude","Position":null,"Affiliations":"1,2,3","IsPresenting":true,"SortOrder":6,"DisplayName":"Herve Claude L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Number":1,"Affiliation":"Ross University School Of Veterinary Medicine","City":"Basseterre","State":"St. Kitts","Country":"St. Kitts and Nevis","AffiliationDisplay":"Ross University School Of Veterinary Medicine, Basseterre St. Kitts, St. Kitts and Nevis"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Number":2,"Affiliation":"Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"Santiago","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Number":3,"Affiliation":"Vetwork SpA","City":"Valdivia","State":"Región de los Ríos","Country":"Chile","AffiliationDisplay":"Vetwork SpA, Valdivia Región de los Ríos, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a64cf332-3e10-43ae-ae27-7cf539c2c27a","Number":4,"Affiliation":"University of California","City":"Davis","State":"California","Country":"United States of America","AffiliationDisplay":"University of California, Davis California, United States of America"}],"AuthorsHtml":"Herve Fernandez M3, Astorga F4, Fredes F2, Urcelay Vicente S2, Nanga P2, Herve Claude L1,2,3","AffiliationsHtml":"
1Ross University School Of Veterinary Medicine, Basseterre St. Kitts, St. Kitts and Nevis
2Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago Región Metropolitana, Chile
3Vetwork SpA, Valdivia Región de los Ríos, Chile
4University of California, Davis California, United States of America
"}],"DisplayName":"Luis Pablo Herve Claude","TimeDisplay":null},{"ContactId":"02b4b2a4-64f4-4bcf-a59a-ba7c1a729ac5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Arata","LastName":"Hidano","Position":null,"Organization":"LSHTM","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eb2f28ee7cdf4ca6925ff410fd387058","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Epidemiological surveillance of influenza A viruses at pig slaughterhouses in Cambodia","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fd4427d9-f8ef-4590-a58b-25f75a26cfc4","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Html":null,"PlainText":"Objective
The emergence of Influenza A viruses (IAV) with pandemic potential from pig populations is of public health concern. A rapid transformation in the swine industry, international pig movements, and the presence of multispecies farming in Southeast Asian countries may heighten such risks. The ‘PigFluCam+’ project aims to better understand influenza dynamics at the swine-human interface. Here we present findings from ongoing slaughterhouse surveillance in Cambodia, where IAV circulation in pigs has been poorly characterized.

Materials and methods
Fourteen slaughterhouses were recruited from four provinces in Cambodia, with monthly sampling since May 2020. Using a pre-calculated sample sizes for different pig batch sizes, nasal swab and serum samples were collected from randomly selected pigs from all batches (a group of pigs from the same origin) that were present at the time of each visit. Information regarding pig origin was obtained using structured questionnaires. Nasal swabs were tested by real-time PCR, and positive samples subjected to sequencing and phylogenetic analyses. Logistic regression was conducted to identify factors associated with batch-level positivity.

Results
As of December 2021, 41 (2.1%) out of 1,955 individual pigs, corresponding to 20 (7.2%) of 277 sampled batches, tested PCR-positive for IAV M-gene. Batches from smallholders were less likely to test positive compared to those from commercial farms (Odds ratio: 0.15, 95% CI: 0.02 – 0.81, p = 0.04). Findings from ongoing genetic and serological analyses will also be presented and discussed from a One Health perspective.

Conclusion
Pig sector intensification could have substantial impacts on IAV ecology and evolution in Cambodia. A cross-national and sector-wide approach, including engagement of commercial pig companies, is required to integrate IAV surveillance into routine activities in countries considered a hotspot for IAV circulation. We will share the lessons learnt through our One Health project, and discuss challenges and opportunities. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Title":"Mr.","FirstName":"Koeut","LastName":"Dina","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Dina K"},{"PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Title":"Dr.","FirstName":"Arata","LastName":"Hidano","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Hidano A"},{"PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Title":"Dr","FirstName":"Tum","LastName":"Sothyra","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Sothyra T"},{"PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Title":"Professor","FirstName":"Gavin","LastName":"Smith","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Smith G"},{"PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Title":null,"FirstName":"G","LastName":"PigFluCam+ Consortium","Position":null,"Affiliations":"1,2,3,4,5","IsPresenting":false,"SortOrder":5,"DisplayName":"PigFluCam+ Consortium G"},{"PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Title":"Dr.","FirstName":"James","LastName":"Rudge","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Rudge J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Number":1,"Affiliation":"National Animal Production Research Institute","City":"Phnom Penh","State":null,"Country":"Cambodia","AffiliationDisplay":"National Animal Production Research Institute, Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Number":2,"Affiliation":"London School of Hygiene and Tropical Medicine","City":"London","State":null,"Country":"UK","AffiliationDisplay":"London School of Hygiene and Tropical Medicine, London, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Number":3,"Affiliation":"Duke-NUS Medical School","City":null,"State":null,"Country":"Singapore","AffiliationDisplay":"Duke-NUS Medical School, Singapore"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Number":4,"Affiliation":"Livestock Development for Community Livelihood","City":"Phnom Penh","State":null,"Country":"Cambodia","AffiliationDisplay":"Livestock Development for Community Livelihood, Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2a30664d-2bf4-4ab0-8f59-30a645da5efc","Number":5,"Affiliation":"University of Health Sciences","City":"Phnom Penh","State":null,"Country":"Cambodia","AffiliationDisplay":"University of Health Sciences, Phnom Penh, Cambodia"}],"AuthorsHtml":"Dina K1, Hidano A2, Sothyra T1, Smith G3, PigFluCam+ Consortium G1,2,3,4,5, Rudge J2","AffiliationsHtml":"
1National Animal Production Research Institute, Phnom Penh, Cambodia
2London School of Hygiene and Tropical Medicine, London, UK
3Duke-NUS Medical School, Singapore
4Livestock Development for Community Livelihood, Phnom Penh, Cambodia
5University of Health Sciences, Phnom Penh, Cambodia
"},{"Title":"Modelling within-herd dynamics of swine Influenza A virus in pig production systems in Cambodia","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fd4427d9-f8ef-4590-a58b-25f75a26cfc4","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Html":null,"PlainText":"Objectives
Persistence of swine Influenza A virus (swIAV) in swine herds provides an opportunity for virus evolution including reassortment with IAVs from other species. While often characterized as sporadic, previous studies in developed countries showed swIAV can persist for long periods in commercial farms which implement specific production practices. Nevertheless, the potential of swIAV persistence in swine production systems under resource-limited settings is poorly studied. By developing a stochastic within-herd swIAV model, we aimed to estimate the potential for swIAV persistence in Cambodian swine production systems.

Materials and methods
We conducted a cross-sectional study with 88 commercial farms and 177 smallholders in four provinces of Cambodia, which informed swine demographic parameters and structures. Given the introduction of susceptible animals is the key driver of swIAV persistence, the survey captured the frequency and amount of swine introductions and farrowing events in the previous six months. Smallholders were preliminarily categorized into 11 typologies based on their production practices. A stochastic individual model was developed for each typology and the maximum duration of swIAV infection was quantified using a range of basic reproduction (R0) numbers.

Results
Simulated swIAV persistence was generally longer for commercial farms than that for smallholders. Under R0 = 3 for breeding farms (800 pigs), the median duration of persistence was 62 days for the farrowing unit and 192 days for the breeding unit. A decrease in R0 value shortened the duration in both units, while an increase in R0 extended the persistence in the farrowing unit and shortened for the breeding unit.

Conclusion
Specific combinations of swine management practices may facilitate longer swIAV persistence within herds, posing a concern for the emergence of IAV with pandemic potential. We discuss implications of dynamically changing swine production systems in Southeast Asia for disease emergence and control.
Keyword: Modelling, Influenza, Zoonosis, LMICs


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Title":"Mr.","FirstName":"Arata","LastName":"Hidano","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hidano A"},{"PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Title":"Mr.","FirstName":"William","LastName":"Leung","Position":"Phd Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Leung W"},{"PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Title":"Ms.","FirstName":"Hannah","LastName":"Holt","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Holt H"},{"PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Title":null,"FirstName":"G","LastName":"PigFluCam+ Consortium","Position":null,"Affiliations":"1,2,3,4,5","IsPresenting":false,"SortOrder":4,"DisplayName":"PigFluCam+ Consortium G"},{"PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Title":"Dr.","FirstName":"James","LastName":"Rudge","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Rudge J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Number":1,"Affiliation":"LSHTM","City":"Phnom Penh","State":"Cambodia","Country":"Cambodia","AffiliationDisplay":"LSHTM, Phnom Penh Cambodia, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Number":2,"Affiliation":"Livestock Development for Community Livelihood","City":null,"State":null,"Country":"Cambodia","AffiliationDisplay":"Livestock Development for Community Livelihood, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Number":3,"Affiliation":"National Animal Health and Production Research Institute","City":null,"State":null,"Country":"Cambodia","AffiliationDisplay":"National Animal Health and Production Research Institute, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Number":4,"Affiliation":"University of Health Sciences","City":null,"State":null,"Country":"Cambodia","AffiliationDisplay":"University of Health Sciences, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ce31c585-b95f-47f5-8829-ee6da11ca035","Number":5,"Affiliation":"Duke-NUS Medical School","City":null,"State":null,"Country":"Singapore","AffiliationDisplay":"Duke-NUS Medical School, Singapore"}],"AuthorsHtml":"Hidano A1, Leung W1, Holt H1, PigFluCam+ Consortium G1,2,3,4,5, Rudge J1","AffiliationsHtml":"
1LSHTM, Phnom Penh Cambodia, Cambodia
2Livestock Development for Community Livelihood, Cambodia
3National Animal Health and Production Research Institute, Cambodia
4University of Health Sciences, Cambodia
5Duke-NUS Medical School, Singapore
"}],"DisplayName":"Arata Hidano","TimeDisplay":null},{"ContactId":"35fc1572-9ba6-44c7-ba01-3ff605439af5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Courtney","LastName":"Higgins","Position":"","Organization":"Auburn University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/24b1be0a629143babae8af0b1fe23068","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Trends on antimicrobial resistance in Rhodococcus equi and antimicrobial use in foals in Kentucky, US","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a32314d1-b5e2-4bef-8e03-6a1aa14fa19c","Html":null,"PlainText":"Objective: Antimicrobial resistance (AMR) has become a major threat to the health of humans, animals, and the environment. One contributor to AMR is the prophylactic antimicrobial use (AMU) in animals. In the horse-breeding industry, antimicrobials have been used to prevent pneumonia in foals caused by Rhodococcus equi. Efforts have taken place to decrease AMU to mitigate AMR in horse-breeding farms since 2017. However, the impact of these efforts on the persistence of AMR on animals and the environment is unknown. The aim of this study was to determine the effect of AMU in foals over the last decade on AMR trends in R. equi clinical isolates.

Materials and Methods: AMU trends were determined by analyzing AMU data from questionnaires collected from 76 farms in 2017 (gathering data on AMU in foals from 2004-2017) and from 35 farms in 2021 (data from 2018-2021). AMR trends were determined by analyzing retrospective antimicrobial susceptibility testing results of R. equi isolated from foals between 1995-2020 from diagnostic laboratories in Kentucky.

Results: Preliminary analysis of AMR and AMU showed that macrolide use decreased since 2017, while overall AMU remained constant. AMR trends in R. equi isolated from foals increased for macrolides, tetracycline, gentamicin, sulfonamides, and rifampicin.

Conclusion: Despite decreasing the use of macrolides in foals, the trend in AMR in R. equi is increasing. This is likely due to the shift of AMU from macrolides to other antimicrobial classes, such as tetracyclines, in combination with rifampicin. It is known that the plasmids carrying both erm genes conferring macrolide resistance in R. equi also carry tetA and sul1 genes conferring resistance to tetracycline and sulfonamides. Therefore, the use of these antimicrobials has potentially contributed to the co-selection of multidrug-resistant isolates and to the failure of measures to mitigate AMR in R. equi.

Keywords: antimicrobials, resistance, one-health
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a32314d1-b5e2-4bef-8e03-6a1aa14fa19c","Title":"Miss","FirstName":"Courtney","LastName":"Higgins","Position":"","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Higgins C"},{"PresentationId":"a32314d1-b5e2-4bef-8e03-6a1aa14fa19c","Title":"Miss","FirstName":"Laura","LastName":"Huber","Position":"Assistant Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Huber L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a32314d1-b5e2-4bef-8e03-6a1aa14fa19c","Number":1,"Affiliation":"Auburn University","City":"Auburn","State":"AL","Country":"USA","AffiliationDisplay":"Auburn University, Auburn AL, USA"}],"AuthorsHtml":"Higgins C, Huber L","AffiliationsHtml":"
1Auburn University, Auburn AL, USA
"}],"DisplayName":"Courtney Higgins","TimeDisplay":null},{"ContactId":"b8c32b9d-631b-4dd7-b1a9-1bc2f5dd9b16","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sarah","LastName":"Hill","Position":"PhD Candidate","Organization":"University Of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessing the efficacy of oxytocin administration on farrowing sows: a systematic review and meta-analysis\r\n","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"693050b4-a536-4390-a6b4-24538e609fb7","Html":null,"PlainText":"Objectives: The objective of this systematic review and meta-analysis was to identify the benefits or negative aspects of administering oxytocin to sows at farrowing. The specific questions addressed: 1) Were there negative consequences associated with administering oxytocin to sows at farrowing? 2) What was the comparative effectiveness of oxytocin treatment compared to controls regarding number of stillbirths and piglet viability? For questions 1 and 2, the dosage, sow parity, and reason for oxytocin administration was noted.
Methods: Randomized controlled trials published in English between 1970 and July 2020 were eligible for inclusion. Eligible trials needed to contain the PICO elements: Population (P): sows at farrowing; Intervention (I): oxytocin given to sows; Comparator (C): sows at farrowing not given oxytocin; Outcomes (O): stillbirths, farrowing performance, and piglet viability. Assessment of risk of bias at the study-level was performed using a modified Cochrane 2.0 ROB. Meta-analyses were performed examining the outcomes between intervention and comparator groups using random effect standardized mean difference models. To explore heterogeneity, a sub-group analysis was performed on study objective, dose of oxytocin, and time and route of administration.
Results: Among the 46 studies eligible for meta-analyses, 24 had sufficient information. The pooled analyses of the random effect model demonstrated the intervention group had greater incidence of stillbirths (SMD = 0.23; 95% CI = 0.1, 0.36). Farrowing duration (SMD = -8.4; 95% CI = -1.1, -0.60) and birth interval (SMD = -1.41; 95% CI = -1.86, -0.97) were shorter in the intervention group.
Conclusion: The administration of oxytocin at farrowing increases the overall number of stillborn piglets but decreases farrowing duration and birth interval between piglets, however, more studies are needed to assess the efficacy of oxytocin on sows experiencing dystocia.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"693050b4-a536-4390-a6b4-24538e609fb7","Title":"Ms.","FirstName":"Sarah","LastName":"Hill","Position":"PhD Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hill S"},{"PresentationId":"693050b4-a536-4390-a6b4-24538e609fb7","Title":"Dr.","FirstName":"Maria del Rocio","LastName":"Amezcua","Position":"Research technician","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Amezcua M"},{"PresentationId":"693050b4-a536-4390-a6b4-24538e609fb7","Title":"Dr.","FirstName":"Eduardo S.","LastName":"Ribeiro","Position":"Assistant professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Ribeiro E"},{"PresentationId":"693050b4-a536-4390-a6b4-24538e609fb7","Title":"Ms.","FirstName":"Terri","LastName":"O'Sullivan","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"O'Sullivan T"},{"PresentationId":"693050b4-a536-4390-a6b4-24538e609fb7","Title":"Dr.","FirstName":"Robert M.","LastName":"Friendship","Position":"Associate professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Friendship R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"693050b4-a536-4390-a6b4-24538e609fb7","Number":1,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"693050b4-a536-4390-a6b4-24538e609fb7","Number":2,"Affiliation":"Department of Animal Biosciences, Ontario Agricultural College, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Animal Biosciences, Ontario Agricultural College, University of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Hill S1, Amezcua M1, Ribeiro E2, O'Sullivan T1, Friendship R1","AffiliationsHtml":"
1Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada
2Department of Animal Biosciences, Ontario Agricultural College, University of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Sarah Hill","TimeDisplay":null},{"ContactId":"d3d53c1f-7910-4762-bf24-cb26d1cc239b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ingrid","LastName":"Holmøy","Position":"Researcher","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Factors associated with foaling rates in a national Norwegian horse breed","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"859eae04-48bf-4b3e-8529-38a8d2df6691","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.B - Epidemiologic studies in specific species (Horses)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"3d5dab3d-c2be-4561-8676-418d50928d28","Html":null,"PlainText":"Keywords: fertility, natural covering

Decreasing population sizes and risk of inbreeding is a challenge in all the national Norwegian horse breeds. The number of covered mares has decreased markedly the past decades, and foaling rates are suboptimal. Our aim was to identify and quantify factors associated with foaling rate in one of the breeds, the Dole horse.

A retrospective cohort study was performed utilizing registry data from the Norwegian Horse Association which includes all horses of national Norwegian breeds. Dole horses bred in the period from 1990 to 2020 were included in the study population. Breeding results were dichotomized into a live-born foal or not (non-pregnant, aborted, embryonic death and stillborn). Records with unknown paternity or when the mare died before foaling were excluded from analysis. A multilevel logistic regression model was built (with year and stallion random effects).

The study population consisted of 9,541 covers in 2,578 mares. Of these, 9,464 covers fulfilled the inclusion criteria. In total, 256 stallions contributed with between 1 and 208 covers. A live foal was born in 3,807 of the 9,464 of the covers (60%). In stallions with >9 covers, foaling rate varied between 20% and 92%. Preliminary results from the multilevel regression model showed that mares aged 3-8 and 9-12 years were more likely to have a live-born foal compared to mares aged 13-18 years, OR (95% CI) 2.34 (2.06-2.64) and 1.50 (1.30-1.72), respectively. Compared to mares with foal at foot, barren mares and open mares were less likely to have a live-born foal: OR 0.55 (0.48-0.61) and 0.56 (0.50-0.62), respectively. Estimated OR at the median and 90th percentile of the expected foals inbreeding degree was 1.31 and 1.37, respectively.

Foaling rates in Dole mares were associated with mare age and reproductive status, and the inbreeding degree of the expected foal.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3d5dab3d-c2be-4561-8676-418d50928d28","Title":"Dr.","FirstName":"Ingrid","LastName":"Holmøy","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Holmøy I"},{"PresentationId":"3d5dab3d-c2be-4561-8676-418d50928d28","Title":null,"FirstName":"Caroline","LastName":"Haadem","Position":"Assistant Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Haadem C"},{"PresentationId":"3d5dab3d-c2be-4561-8676-418d50928d28","Title":"Dr.","FirstName":"Ingrid ","LastName":"Toftaker","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Toftaker I"},{"PresentationId":"3d5dab3d-c2be-4561-8676-418d50928d28","Title":"Prof.","FirstName":"Peer","LastName":"Berg","Position":"Norwegian University of Life Sciences, Faculty of Bioscienses","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Berg P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3d5dab3d-c2be-4561-8676-418d50928d28","Number":1,"Affiliation":"Norwegian University of Life Sciences, Veterinary Faculty","City":"Ås","State":null,"Country":"Norway","AffiliationDisplay":"Norwegian University of Life Sciences, Veterinary Faculty, Ås, Norway"}],"AuthorsHtml":"Holmøy I1, Haadem C, Toftaker I, Berg P","AffiliationsHtml":"
1Norwegian University of Life Sciences, Veterinary Faculty, Ås, Norway
"}],"DisplayName":"Ingrid Holmøy","TimeDisplay":null},{"ContactId":"1138ab73-c2f8-4e22-93c9-1caa4c0ce1a3","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Hannah","LastName":"Holt","Position":null,"Organization":"Royal Veterinary College/London School of Hygiene and Tropical Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Characterising influenza epidemiology at the human-swine interface in Cambodia: The PigFluCam+ project","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Html":null,"PlainText":"Objective: Coordinated research and surveillance for infectious diseases at the human-livestock interface is needed to better respond to emerging infectious disease threats. The PigFluCam+ project is a multi-partner research collaboration to characterise zoonotic risks from pig rearing systems in Cambodia, with a focus on influenza.

Materials and methods: Longitudinal surveys are being conducted across components of the pig value chain to identify risk hotspots for cross-species transmission and reassortment of influenza viruses. The project broadly consists of two surveys conducted in parallel (Figure 1):

Pig sector surveys: conducted in different types of pig enterprises to describe production, trade and seroprevalence and diversity of influenza virus in pigs.

Human cohort survey: Serological and virological surveillance of influenza among a cohort of households with and without occupational exposure to pigs.

Swabs are screened for influenza-A M-gene and positive samples sequenced. Sera will be tested for Influenza A antibodies using ELISA and a multiplex bead-based immunoassay.

Results: Samples have been collected from over 3,056 slaughterhouse pigs originating from a range of production types. A total of 858 people (from 531 households) were enrolled into the human cohort, of whom 49.3% have daily contact with live pigs and 6.5% slaughter pigs daily. Laboratory testing is ongoing; the results will be used to identify risk factors for exposure.

Conclusion: The study design and findings can help inform risk-based strategies for early detection and mitigation of emerging disease threats in the Lower-Mekong region, where livestock systems are changing rapidly. Challenges and lessons learned will be discussed.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0b95b08dbff84ad783a6c01f1cb9cc6d","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Title":"Ms.","FirstName":"Hannah","LastName":"Holt","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Holt H"},{"PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Title":"Dr.","FirstName":"Chou","LastName":"Monidarin","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Monidarin C"},{"PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Title":"Dr.","FirstName":"Sothyra","LastName":"Tum","Position":"Director","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Tum S"},{"PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Title":null,"FirstName":"G","LastName":"PigFluCam+ Consortium","Position":null,"Affiliations":"1,2,3,4,5,6","IsPresenting":false,"SortOrder":4,"DisplayName":"PigFluCam+ Consortium G"},{"PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Title":"Dr","FirstName":"Yvonne","LastName":"Su","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Su Y"},{"PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Title":"Dr.","FirstName":"James","LastName":"Rudge","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Rudge J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Number":1,"Affiliation":"London School of Hygiene & Tropical Medicine / Royal Veterinary College","City":"London","State":"London","Country":"United Kingdom","AffiliationDisplay":"London School of Hygiene & Tropical Medicine / Royal Veterinary College, London London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Number":2,"Affiliation":"Ministry of Environment","City":"Phnom Penh","State":null,"Country":"Cambodia","AffiliationDisplay":"Ministry of Environment, Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Number":3,"Affiliation":"National Animal Health and Production Research Institute","City":"Phnom Penh","State":null,"Country":"Cambodia","AffiliationDisplay":"National Animal Health and Production Research Institute, Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Number":4,"Affiliation":"Duke National University of Singapore","City":null,"State":null,"Country":"Singapore","AffiliationDisplay":"Duke National University of Singapore, Singapore"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Number":5,"Affiliation":"Livestock Development for Community Livelihood","City":null,"State":"Phnom Penh","Country":"Cambodia","AffiliationDisplay":"Livestock Development for Community Livelihood, Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e112ac46-aff1-4e0c-8fca-84d14f36729a","Number":6,"Affiliation":"University of Health Sciences","City":null,"State":"Phnom Penh","Country":"Cambodia","AffiliationDisplay":"University of Health Sciences, Phnom Penh, Cambodia"}],"AuthorsHtml":"Holt H1, Monidarin C2, Tum S3, PigFluCam+ Consortium G1,2,3,4,5,6, Su Y4, Rudge J1","AffiliationsHtml":"
1London School of Hygiene & Tropical Medicine / Royal Veterinary College, London London, United Kingdom
2Ministry of Environment, Phnom Penh, Cambodia
3National Animal Health and Production Research Institute, Phnom Penh, Cambodia
4Duke National University of Singapore, Singapore
5Livestock Development for Community Livelihood, Phnom Penh, Cambodia
6University of Health Sciences, Phnom Penh, Cambodia
"},{"Title":"Integrating evidence from epidemiological studies and systematic risk ranking to inform prevention of zoonotic transmission of Brucella abortus. ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b3e517fe-cf58-4f9a-a3db-4c88394d0e77","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"bcb4378a-fa09-4194-8583-b0b78c67fc6c","Html":null,"PlainText":"Objective:
Brucellosis is a zoonotic disease imposing significant global impacts on livestock production and public health. A key-question critical to inform public health measures to prevent zoonotic transmission is the relative contribution of direct contact vs. foodborne (mostly milk-borne) routes. Our objective was to assess the extent to which prevention of zoonotic transmission of Brucella abortus should focus on milk safety vs. occupational exposure in two states of India.

Methods:
We combined cross-sectional studies of interacting human and livestock populations involving 822 dairy produces in Punjab and 300 in Andhra Pradesh with systematic risk ranking of pathogens in milk/dairy products. Risk ranking integrated existing data on pathogen survival, milk and dairy product contamination with context specific information on food safety regulations, supply chains and consumer behaviours gathered via stakeholder consultation. In Punjab, we used estimates of the incidence of brucellosis in the general rural population to calculate Disability-adjusted live years (DALY’s).

Results
In Punjab, a third of dairy producers and 9.7% of occupationally exposed people were seropositive for Brucella. Persons assisting with calving/abortion in farms with serological evidence of infection in cattle had increased odds of exposure compared to those that did not. Despite its widespread presence in dairy cattle (at high levels in Punjab), risk ranking identified B. abortus in milk as a low-medium food safety priority due to heat treatment of milk and dairy products. Brucellosis was responsible for an estimated 0.33 (95% CI: 0.12-0.69) DALYs per 1000 persons per year in rural Punjab.

Conclusions
By integrating estimates of frequency of infection and strength of association with systematic risk assessment we were able to predict that B. abortus is primarily an occupational zoonosis in both AP and Punjab State. The evidence generated here is timely given that a National Control Programme for brucellosis has been established in India.
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1London School of Hygiene & Tropical Medicine / Royal Veterinary College, London London, United Kingdom
2Royal Veterinary College, Hatfield, United Kingdom
3NTR College of Veterinary Sciences, Sri Venkateswara Veterinary University, Vijayawada Andhra Pradesh, India
4Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana Punjab, India
"}],"DisplayName":"Hannah Holt","TimeDisplay":null},{"ContactId":"e4c89e49-546e-4a08-b079-cee845f064cc","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mohammad","LastName":"Howard-Azzeh","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The impact of state cannabis legislation, county-level socioeconomic and dog-level characteristics on reported cannabis poisonings of companion dogs in the USA (2009–2014)","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c742a26-db6c-4465-98ff-d5984b272607","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"4732932e-1e2e-473c-906d-fc76af82466a","Html":null,"PlainText":"Introduction: With current trends in cannabis legalization, large efforts are being made to understand the effects of less restricted legislation on human consumption, health, and abuse of these products. Little is known about the effects of cannabis legalization and increased cannabis use on vulnerable populations, such as dogs.

Objective: This study aimed to examine the effects of state-level cannabis legislation, county-level socioeconomic factors, and dog-level characteristics on dog cannabis poisoning reports to an animal poison control center (APCC).

Methods: Data were obtained concerning reports of dog poisoning events, county characteristics, and state cannabis legislation from the American Society for the Prevention of Cruelty to Animals’ APCC, the US Census Bureau, and various public policy-oriented and government websites, respectively. A multilevel logistic regression model with random intercepts for county and state was fitted to investigate the associations between the odds of a call to the APCC being related to a dog being poisoned by a cannabis product and the following types of variables: dog characteristics, county-level socioeconomic characteristics, and the type of state-level cannabis legislation.

Results: There were significantly higher odds of a call being related to cannabis in states with lower penalties for cannabis use and possession. The odds of these calls were higher in counties with higher income variability, higher percentage of urban population, and among smaller, male, and intact dogs. These calls increased throughout the study period (2009–2014). Reporting of cannabis poisonings were more likely to come from veterinarians than dog owners. Reported dog poisonings due to cannabis appear to be influenced by dog-level and community-level factors.

Conclusion: This study may increase awareness to the public, public health, and veterinary communities of the effects of recreational drug use on dog populations. This study highlights the need to educate dog owners about safeguarding cannabis products from vulnerable populations.
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1Department of Population Medicine, University Of Guelph, Guelph Ontario, Canada
2Department of Mathematics and Statistics, University Of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Mohammad Howard-Azzeh","TimeDisplay":null},{"ContactId":"fedfca16-e5c6-4331-babe-bc7d789cff72","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Krista","LastName":"Howden","Position":"Director/senior Scientific Advisor","Organization":"One Health Scientific Solutions","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d3f79a679f97427d8d4c47671c99ccfb","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Compartmentalization as a tool to support food security, disease eradication and business continuity in the event of an outbreak of African Swine Fever in Canada","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Html":null,"PlainText":"Objectives. Ensuring business continuity and maintaining domestic and international trade in the context of moderate to long-lasting epidemics of major animal diseases is a challenge worldwide. It is part of the wider concept of resilience to animal diseases and of critical importance for food security and the viability of rural economies. The World Organization for Animal Health (OIE) supports the application of compartmentalization as a tool to mitigate risk from infectious animal diseases. The purpose of our study was to identify the requirements for an ASF-free swine compartment, provide guidance for implementation, and discuss the advantages and challenges of the approach.

Materials and Methods. A comprehensive review of the literature and international standards to identify requirements for an ASF-free swine compartment was first undertaken. Secondly, a desk-based and on-site assessment of a vertically integrated swine production system in Canada were completed to develop practical, ASF-specific recommendations including both on-farm and abattoir requirements.

Results. Compartmentalization is a tool that requires deep knowledge of both structural factors (value chain, stakeholders, legislative framework) and disease-specific factors (epidemiology, disease control measures). Its application requires minimum standards for biosecurity, surveillance and traceability and a governance and oversight framework. At the compartment operator level, bio-exclusion measures to prevent the introduction of ASFV via people, fomites, pigs, pork products, feed, and proximity pathways are required. Barn-based mortality and morbidity surveillance supports early detection and demonstration of freedom from ASF. Last, biosecurity, segregation and traceability at slaughter establishments ensure compartment products are not cross-contaminated with ASFV.

Conclusion. Integrated production systems lend themselves well to compartmentalization. Although substantial work is required to set up a national program, compartmentalization demonstrates benefits beyond maintaining business continuity and international trade. This includes supporting ASF preparedness and eradication, strengthening national animal health systems and building trusting partnerships between industry and governments.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Title":"Dr.","FirstName":"Krista","LastName":"Howden","Position":"Director/senior Scientific Advisor","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Howden K"},{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Title":"Dr","FirstName":"Kathleen","LastName":"Long","Position":"Vice President Animal Care","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Long K"},{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Title":null,"FirstName":"LeeAnn","LastName":"Peters","Position":"Director Technical Services","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Peters L"},{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Title":"Dr.","FirstName":"Egan","LastName":"Brockhoff","Position":"Veterinary Counselor","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Brockhoff E"},{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Title":null,"FirstName":"Audrey","LastName":"Cameron","Position":"Director On Farm Programs","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Cameron A"},{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Title":"Dr.","FirstName":"Penny","LastName":"Greenwood","Position":"National Manager Domestic Disease Control Programs","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Greenwood P"},{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Title":"Dr","FirstName":"Angus","LastName":"Cameron","Position":"Executive Consultant","Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Cameron A"},{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Title":"Dr.","FirstName":"Anne","LastName":"Meyer","Position":"Consultant","Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Meyer A"},{"PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Title":"Dr","FirstName":"Celine","LastName":"Faverjon","Position":"Consultant","Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Faverjon C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a034ed3b-30f6-4d71-9beb-a9adc2b7e914","Number":1,"Affiliation":"One Health Scientific Solutions","City":"Sherwood Park","State":"AB","Country":"Canada","AffiliationDisplay":"One Health Scientific Solutions, Sherwood Park AB, Canada"}],"AuthorsHtml":"Howden K, Long K, Peters L, Brockhoff E, Cameron A, Greenwood P, Cameron A, Meyer A, Faverjon C","AffiliationsHtml":"
1One Health Scientific Solutions, Sherwood Park AB, Canada
"}],"DisplayName":"Krista Howden","TimeDisplay":null},{"ContactId":"14923e8b-1060-4181-947a-8d2f6fdbef0b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Laura","LastName":"Huber","Position":"Assistant Professor","Organization":"Auburn University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/48cf61e8c9244ff98314946ca18b95bf","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Reduction in Antimicrobial Use and Resistance to Salmonella, Campylobacter, and Escherichia coli in Broiler Chickens, Canada, 2013–2019","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"1410ca0d-b8f8-4891-ba3d-4007cd4e8b2d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.B - AMU","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Html":null,"PlainText":"Antimicrobial use contributes to the global rise of antimicrobial resistance (AMR). In 2014, the poultry industry in Canada initiated its Antimicrobial Use Reduction Strategy to mitigate AMR in the poultry sector. We monitored trends in antimicrobial use and AMR of foodborne bacteria (Salmonella, Escherichia coli, and Campylobacter) in broiler chickens during 2013 and 2019. We quantified the effect of antimicrobial use and management factors on AMR by using LASSO regression and generalized mixed-effect models. AMR in broiler chickens declined by 6%–38% after the decrease in prophylactic antimicrobial use. However, the withdrawal of individual compounds, such as cephalosporins and fluoroquinolones, prompted an increase in use of and resistance levels for other drug classes, such as aminoglycosides. Canada’s experience with antimicrobial use reduction illustrates the potential for progressive transitions from conventional antimicrobial-dependent broiler production to more sustainable production with respect to antimicrobial use.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/354184eb9865493583cf7428e56b6a60","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Title":"Prof.","FirstName":"Laura","LastName":"Huber","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Huber L"},{"PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Title":"Dr.","FirstName":"Agnes ","LastName":"Agunos","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Agunos A"},{"PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Title":"Dr.","FirstName":"Sheryl P.","LastName":"Gow","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Gow S"},{"PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Title":"Dr.","FirstName":"Carolee","LastName":"Carson","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Carson C"},{"PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Title":"Prof. Dr.","FirstName":"Thomas","LastName":"Van Boeckel","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Van Boeckel T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Number":1,"Affiliation":"Auburn University","City":"Auburn","State":"AL","Country":"USA","AffiliationDisplay":"Auburn University, Auburn AL, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Number":2,"Affiliation":"Public Health Agency of Canada","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Number":3,"Affiliation":"Public Health Agency of Canada","City":"Saskatoon","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Saskatoon Saskatchewan, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecf9b3da-9525-4b92-978f-923f26d98fba","Number":4,"Affiliation":"ETH","City":"Zurich","State":"Zurich","Country":"Switzerland","AffiliationDisplay":"ETH, Zurich Zurich, Switzerland"}],"AuthorsHtml":"Huber L1, Agunos A2, Gow S3, Carson C2, Van Boeckel T4","AffiliationsHtml":"
1Auburn University, Auburn AL, USA
2Public Health Agency of Canada, Guelph Ontario, Canada
3Public Health Agency of Canada, Saskatoon Saskatchewan, Canada
4ETH, Zurich Zurich, Switzerland
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Reusing stormwater is an approach to mitigate water scarcity. However, the presence of potential pathogenic Escherichia coli has been reported. Therefore, the objectives of this study were to 1) evaluate the frequencies of virulence genes (VGs) associated with intestinal (InPEC) and extraintestinal pathogenic E. coli (ExPEC); 2) assess antimicrobial susceptibility of VG (>3) containing E. coli, and 3) determine the proportion of tetracycline-resistant E. coli in stormwater and evaluate multi-drug resistance.
Materials and Methods
Presumptive E. coli isolates were confirmed using the uidA marker and API 20E testing. VGs of InPEC and ExPEC were assessed using multiplex and single PCR. Tetracycline-resistant E. coli were isolated using tetracycline-embedded agar plates via replica plating. Moreover, the clonality of all isolates was determined via rep-PCR. Unique isolates were screened for antimicrobial susceptibility using broth microdilution.
Results
Among the 752 confirmed E. coli isolates, 19 (2.5%) carried InPEC adhesion VG, eaeA, 4 (0.53%), 723 (96%), and 1 (0.13%) were positive for ExPEC fimbrial/pili adhesin VGs, sfa/foc, fimH, and papC, respectively. Moreover, nutrient acquisition genes of ExPEC, such as fyuA (12.2%), iutA (0.80%), iroN (12%), and toxin gene, cnf1 (0.13%), were also detected. Among the unique isolates carrying >3 VGs, 33% were resistant to tetracycline, ampicillin, streptomycin, nalidixic, cefoxitin, and amoxicillin-clavulanic acid. The proportion of tetracycline-resistant E. coli in stormwater was 43%. Of these, 56% of isolates were resistant to more than two antimicrobials, including tetracycline, and 10% were resistant to five antimicrobials.
Conclusion
This study characterized the antimicrobial-resistant and VG harbouring potential pathogenic E. coli isolated from stormwater. These findings indicate the need for continuous monitoring and assessment of water quality to prevent potential risks to public health, alongside research to identify risk factors and subsequently inform mitigation strategies.

Key words: stormwater, pathogenic Escherichia coli, virulence genes, antibiotic resistance, public health risks.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e8be7a74-159c-4ddf-a0f9-8a1d117e563e","Title":"Ms.","FirstName":"Jae Eun","LastName":"Hyun","Position":"Graduate Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Hyun J"},{"PresentationId":"e8be7a74-159c-4ddf-a0f9-8a1d117e563e","Title":"Dr.","FirstName":"N.F.","LastName":"Neumann","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Neumann N"},{"PresentationId":"e8be7a74-159c-4ddf-a0f9-8a1d117e563e","Title":"Dr.","FirstName":"Rebekah","LastName":"DeVinney","Position":"Associate Professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"DeVinney R"},{"PresentationId":"e8be7a74-159c-4ddf-a0f9-8a1d117e563e","Title":"Dr.","FirstName":"Sylvia","LastName":"Checkley","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Checkley S"},{"PresentationId":"e8be7a74-159c-4ddf-a0f9-8a1d117e563e","Title":"Dr.","FirstName":"Dongyan","LastName":"Niu","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Niu D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e8be7a74-159c-4ddf-a0f9-8a1d117e563e","Number":1,"Affiliation":"Ecosystem and Health, University Of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Ecosystem and Health, University Of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e8be7a74-159c-4ddf-a0f9-8a1d117e563e","Number":2,"Affiliation":"School of Public Health, University of Alberta","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"School of Public Health, University of Alberta, Edmonton Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e8be7a74-159c-4ddf-a0f9-8a1d117e563e","Number":3,"Affiliation":"Microbiology, Immunology, and Infectious Diseases, University of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary Alberta, Canada"}],"AuthorsHtml":"Hyun J1, Neumann N2, DeVinney R3, Checkley S1, Niu D1","AffiliationsHtml":"
1Ecosystem and Health, University Of Calgary, Calgary AB, Canada
2School of Public Health, University of Alberta, Edmonton Alberta, Canada
3Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary Alberta, Canada
"}],"DisplayName":"Jae Eun Hyun","TimeDisplay":null},{"ContactId":"826f7b2b-87c4-48b1-9a61-536d70c318ba","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nelima","LastName":"Ibrahim","Position":"Phd Student","Organization":"Ghent University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Antimicrobial usage and biosecurity on broilers and cross-breed sonali poultry farms in Bangladesh","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"26d7096e-da0d-4d6e-b855-74ce32a2ffb5","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Html":null,"PlainText":"Objective(s):Antimicrobial use (AMU) is a major contributing factor in the rising threat of antimicrobial resistance (AMR) in worldwide food animal production. Therefore, this study aimed to quantify and associate the AMU and biosecurity status of broiler and cross-breed sonali poultry farms in Bangladesh.
Materials and methods:Data on all antimicrobial treatments within each flock and total antimicrobials purchased over one year on the farms of the sampled flocks were collected from 94 broiler and 51 sonali farms located in the northern and south-east region of Bangladesh. AMU at flock level was quantified as treatment incidence (TI) per 100 days based on the Defined Daily Dose (DDDvet). The biosecurity status of the farms was determined using Biocheck.UGent, a scoring system that quantifies the level of biosecurity on the farm.
Results:Median TIDDDvet at flock level equaled 89 and 90 for broilers and sonali, respectively meaning that the birds were treated around 90% of their lifetime with a standard antimicrobial dose. Minimum and maximum values equaled 17.1-221.9 and 40.9-233.0 in broilers and sonali, respectively. Ninety-two percent of farms started an antimicrobial treatment on the first day of production. The most frequently used antimicrobial classes in broilers and sonali, expressed as the percentage of the total number of treatments, were fluoroquinolones (25%; 15%), sulfonamides (19%; 25%), tetracyclines (15%; 19%) and aminopenicillins (17%; 12%), respectively. The average external biosecurity and internal biosecurity equaled 37% and 45% for boilers and 63% and 61% for sonali, respectively.
Conclusion:As the majority of farms treated their birds for almost the entire production period, both conventional broiler and sonali bird production were still fully dependent on AMU. A low biosecurity score was non-significantly associated with a higher AMU. Nevertheless, improvement of biosecurity might be part of the solution towards a lower usage.

Key words:Antimicrobial usage; Broilers; Sonali; Treatment incidence; DDDvet","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Title":"Dr.","FirstName":"Nelima","LastName":"Ibrahim","Position":null,"Affiliations":"1,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Ibrahim N"},{"PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Title":"Mr.","FirstName":"Philip ","LastName":"Joosten","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Joosten P"},{"PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Title":"Mr.","FirstName":"Shoieb ","LastName":"Mohsin","Position":"Master's student","Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Mohsin S"},{"PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Title":"Dr.","FirstName":"SK Shaheenur ","LastName":"Islam","Position":"Senior Scientific Officer ","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Islam S"},{"PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Title":"Dr.","FirstName":"Filip ","LastName":"Boyen","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Boyen F"},{"PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Title":"Dr.","FirstName":"Jeroen","LastName":"Dewulf","Position":"Professor ","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Dewulf J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Number":1,"Affiliation":"Veterinary Epidemiology Unit, Department of Internal medicine, Reproduction and Population medicine. Faculty of Veterinary Medicine, Ghent University","City":"Merelbeke","State":"East-flanders","Country":"Belgium","AffiliationDisplay":"Veterinary Epidemiology Unit, Department of Internal medicine, Reproduction and Population medicine. Faculty of Veterinary Medicine, Ghent University, Merelbeke East-flanders, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Number":2,"Affiliation":"Department of Pathology, bacteriology and poultry disease, Faculty of Veterinary Medicine, Ghent University","City":"Merelbeke","State":"East-flanders","Country":"Belgium","AffiliationDisplay":"Department of Pathology, bacteriology and poultry disease, Faculty of Veterinary Medicine, Ghent University, Merelbeke East-flanders, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Number":3,"Affiliation":"Department of Livestock Services","City":"Dhaka","State":null,"Country":"Bangladesh","AffiliationDisplay":"Department of Livestock Services, Dhaka, Bangladesh"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e5b21d70-85c0-42ba-921a-2220bebff11d","Number":4,"Affiliation":"Department of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University","City":"Chattogram","State":null,"Country":"Bangladesh","AffiliationDisplay":"Department of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh"}],"AuthorsHtml":"Ibrahim N1,3, Joosten P1, Mohsin S4, Islam S3, Boyen F2, Dewulf J1","AffiliationsHtml":"
1Veterinary Epidemiology Unit, Department of Internal medicine, Reproduction and Population medicine. Faculty of Veterinary Medicine, Ghent University, Merelbeke East-flanders, Belgium
2Department of Pathology, bacteriology and poultry disease, Faculty of Veterinary Medicine, Ghent University, Merelbeke East-flanders, Belgium
3Department of Livestock Services, Dhaka, Bangladesh
4Department of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh
"},{"Title":"Multidrug resistance in Escherichia coli on broilers and cross-breed sonali poultry farms in Bangladesh ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"3d37146d-f788-47c4-a32e-8244b33059b4","Html":null,"PlainText":"Objective(s): Resistant commensal bacteria, Escherichia coli, represent a risk to humans, animals and the environment because they may have resistance genes that can be passed on to human pathogens and vice versa. Therefore, this study aimed to quantify the multidrug resistance of Escherichia coli isolates obtained from poultry feces and environmental samples on broiler and cross-breed sonali farms. In addition, the associations between antimicrobial use (AMU) and antimicrobial resistance (AMR) on the same farm will be explored.

Materials and methods: A total of 725 fecal and 250 environmental samples from 94 conventional broiler and 51 sonali farms in Bangladesh were screened for the presence of E. coli with selective isolation and identification using MALDI-TOF mass spectrometry. We screened all environmental isolates and randomly selected five fecal isolates from each farm and performed antibiotic susceptibility testing with an E. coli EUVSEC sensititre plate. According to the EUCAST epidemiological cut-off values (ECOFFs), susceptibility or resistance to antibiotics was determined.

Results:Multidrug resistance was frequently observed in both farms. The highest percentages of drug resistance in fecal isolates of E. coli were detected in both broilers and sonali, which were ciprofloxacin (98%, 98%), tetracycline (97%, 100%), trimethoprim (95%, 94%) and ampicillin (93%, 92%) respectively. Furthermore, tetracycline (98%, 80%), ciprofloxacin (93%, 83%) and ampicillin (86%, 77%) resistance were identified in environmental isolates of E. coli in broiler and sonali farms, respectively. The outcomes of the association between AMU and AMR are currently being analyzed and will be presented during the congress.

Conclusions:This study found a high level of resistance to the fluoroquinolone antimicrobial class, which is classified as a \"high priority critically important antibiotic\" for both animals and humans. Therefore, to ensure food safety, biosafety in both animals and humans, AMR should be restricted through one health approach.

Key words:Antimicrobial resistance; Fluoroquinolone; Broiler; Sonali
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3d37146d-f788-47c4-a32e-8244b33059b4","Title":"Mrs.","FirstName":"Nelima","LastName":"Ibrahim","Position":"Phd Student","Affiliations":"1,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Ibrahim N"},{"PresentationId":"3d37146d-f788-47c4-a32e-8244b33059b4","Title":"Dr.","FirstName":"Filip","LastName":"Boyen","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Boyen F"},{"PresentationId":"3d37146d-f788-47c4-a32e-8244b33059b4","Title":"Mr.","FirstName":"Jeroen","LastName":"Dewulf","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Dewulf J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3d37146d-f788-47c4-a32e-8244b33059b4","Number":1,"Affiliation":"Veterinary Epidemiology Unit, Department of Internal medicine, Reproduction and Population medicine, Faculty of Veterinary Medicine, Ghent University","City":"Merelbeke ","State":"East-flanders","Country":"Belgium","AffiliationDisplay":"Veterinary Epidemiology Unit, Department of Internal medicine, Reproduction and Population medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke East-flanders, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3d37146d-f788-47c4-a32e-8244b33059b4","Number":2,"Affiliation":"Department of Pathology, bacteriology and poultry disease, Faculty of Veterinary Medicine, Ghent University","City":"Merelbeke","State":"East-flanders","Country":"Belgium","AffiliationDisplay":"Department of Pathology, bacteriology and poultry disease, Faculty of Veterinary Medicine, Ghent University, Merelbeke East-flanders, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3d37146d-f788-47c4-a32e-8244b33059b4","Number":3,"Affiliation":"Department of Livestock Services","City":"Dhaka","State":null,"Country":"Bangladesh","AffiliationDisplay":"Department of Livestock Services, Dhaka, Bangladesh"}],"AuthorsHtml":"Ibrahim N1,3, Boyen F2, Dewulf J1","AffiliationsHtml":"
1Veterinary Epidemiology Unit, Department of Internal medicine, Reproduction and Population medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke East-flanders, Belgium
2Department of Pathology, bacteriology and poultry disease, Faculty of Veterinary Medicine, Ghent University, Merelbeke East-flanders, Belgium
3Department of Livestock Services, Dhaka, Bangladesh
"}],"DisplayName":"Nelima Ibrahim","TimeDisplay":null},{"ContactId":"700f5884-4619-4300-8abb-0c936e132c81","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Giles","LastName":"Innocent","Position":null,"Organization":"Biomathematics and Statistics Scotland","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Quantifying Phenotypic AMR in samples","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8d6829cb-095c-4f27-b3b4-1bc11dc02a01","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"a252184d-63b7-4d22-885a-9987d3c98b5a","Html":null,"PlainText":"1. Objectives. In order to monitor AMR it is essential to be able to measure it. We have developed a novel method, which we refer to as Quantitative Estimation of Population AMR (QEPA) by which we believe we can obtain an accurate measure of the amount of AMR present in a sample of bacteria. We wished to demonstrate that that we could successfully recover the proportion of AMR bacteria in prepared samples, that we could demonstrate its use in field samples and that we could measure differences in the proportion of bacteria demonstrating AMR in these samples.

2. Materials and methods. We prepared samples using quantified proportions of bacterial clones known to be either susceptible or resistant to an antimicrobial. In addition we collected samples from calves that had previously been treated with a known antimicrobial. Laboratory analysis consisted of paired plating on selective medium both with and without the antimicrobial of interest. Results were analysed in a Bayesian framework which allows us to account for complex sampling structures.

3. Results. We successfully recovered estimates of the proportion of bacteria demonstrating AMR in the prepared samples. We also observed differences in the proportion of bacteria demonstrating AMR between samples from the same individual over time, and between individuals at the same time. Furthermore, we were able to show differences in the between-animal variation in different groups. As a by-product of the analysis approach we can also estimate the total bacterial count in the sample.

4. Conclusions. We believe that QEPA represents a useful addition to the arsenal of techniques appropriate to the monitoring of AMR. It is relatively cheap, requires no specialised equipment, but provides an information-rich result that can be used to analyse differences in the level of AMR.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a252184d-63b7-4d22-885a-9987d3c98b5a","Title":"Dr.","FirstName":"Giles","LastName":"Innocent","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Innocent G"},{"PresentationId":"a252184d-63b7-4d22-885a-9987d3c98b5a","Title":"Dr.","FirstName":"Roger W.","LastName":"Humphry","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Humphry R"},{"PresentationId":"a252184d-63b7-4d22-885a-9987d3c98b5a","Title":"Mrs.","FirstName":"Catriona","LastName":"Webster","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Webster C"},{"PresentationId":"a252184d-63b7-4d22-885a-9987d3c98b5a","Title":"Mrs.","FirstName":"Madeleine","LastName":"Henry","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Henry M"},{"PresentationId":"a252184d-63b7-4d22-885a-9987d3c98b5a","Title":"Prof.","FirstName":"George","LastName":"Gunn","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Gunn G"},{"PresentationId":"a252184d-63b7-4d22-885a-9987d3c98b5a","Title":"Dr.","FirstName":"Sue","LastName":"Tongue","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Tongue S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a252184d-63b7-4d22-885a-9987d3c98b5a","Number":1,"Affiliation":"Biomathematics And Statistics Scotland (bioss)","City":"Edinburgh","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"Biomathematics And Statistics Scotland (bioss), Edinburgh Scotland, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a252184d-63b7-4d22-885a-9987d3c98b5a","Number":2,"Affiliation":"Epidemiology and Planetary Health Division, SRUC,","City":"Inverness","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"Epidemiology and Planetary Health Division, SRUC,, Inverness Scotland, United Kingdom"}],"AuthorsHtml":"Innocent G1, Humphry R2, Webster C2, Henry M2, Gunn G2, Tongue S2","AffiliationsHtml":"
1Biomathematics And Statistics Scotland (bioss), Edinburgh Scotland, United Kingdom
2Epidemiology and Planetary Health Division, SRUC,, Inverness Scotland, United Kingdom
"}],"DisplayName":"Giles Innocent","TimeDisplay":null},{"ContactId":"fc71151a-0ac8-4f1c-8fa8-e16c1bee541e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Javed","LastName":"Iqbal","Position":"Programme Manager","Organization":"Brooke","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c5b60c1c32ed41ae9821b335124ff624","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Improving animal health services in Pakistan","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c3da4b58-e0d3-444a-9da4-234629371ecf","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.A - Capacity building in national veterinary service","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"65698481-f108-4593-a8f7-46f7acf1d1a5","Html":null,"PlainText":"Objective: Brooke Pakistan, a Non-Government Organisation focused on improving the lives of working equids, work with local Animal Health Providers (AHP; veterinarians and veterinary paraprofessionals) to strengthen the structure and quality of animal health provision. Despite success in improving the quality of care, uptake remains lower than anticipated. This research aimed to identify challenges impacting the uptake of recommended animal health services.

Materials and methods: Qualitative data were collected through semi-structured interviews with AHPs, animal owners who use recommended services, and those who do not. Participants were initially recruited through key informant interviews, a snowball approach was then used and data were collected until saturation. A total of 231 users, 434 non-users, and 49 AHPs participated in the study. Data were analysed thematically using an inductive, semantic approach.

Results: Seven themes were developed:
1.\tThe role of family, particularly women, in making decisions about animal health care
2.\tAn animals’ role and economic value and budgeting for its health care
3.\tThe cost of animal health care and an expectation for free or subsidised treatment
4.\tKnowledge about recommended AHPs and their capacity to treat equids
5.\tAHP communication style
6.\tAHP availability and accessibility
7.\tThe use of traditional treatments and healers

Conclusion: The findings identified potential barriers and opportunities for change, including further improvement to the services provided by AHPs. In particular, the ability to build rapport with clients and fully explain diagnosis and rationale for treatment was important. The lack of satisfaction with recommended AHPs was often described in conjunction with the contrasting experience of visiting a traditional healer who were said to have a good rapport with owners. The findings are being used to inform Brooke Pakistan’s work with universities to improve veterinary curricula.

Keywords: Animal health provision; Pakistan; working equids; uptake of animal health services
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"65698481-f108-4593-a8f7-46f7acf1d1a5","Title":"Research Coordinator","FirstName":"Zahir","LastName":"Shah","Position":"2","Affiliations":null,"IsPresenting":false,"SortOrder":1,"DisplayName":"Shah Z"},{"PresentationId":"65698481-f108-4593-a8f7-46f7acf1d1a5","Title":"Research Coordinator","FirstName":"Ruth","LastName":"Jobling","Position":"3","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Jobling R"},{"PresentationId":"65698481-f108-4593-a8f7-46f7acf1d1a5","Title":"Dr","FirstName":"Javed","LastName":"Iqbal","Position":"1","Affiliations":null,"IsPresenting":true,"SortOrder":3,"DisplayName":"Iqbal J"},{"PresentationId":"65698481-f108-4593-a8f7-46f7acf1d1a5","Title":"Dr","FirstName":"Javaid","LastName":"Khan","Position":"4","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Khan J"},{"PresentationId":"65698481-f108-4593-a8f7-46f7acf1d1a5","Title":"Dr","FirstName":"Klara","LastName":"Saville","Position":"5","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Saville K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"65698481-f108-4593-a8f7-46f7acf1d1a5","Number":1,"Affiliation":"Brooke Hospital For Animals","City":"Lahore","State":"Pujnab","Country":"Pakistan","AffiliationDisplay":"Brooke Hospital For Animals, Lahore Pujnab, Pakistan"}],"AuthorsHtml":"Shah Z, Jobling R, Iqbal J, Khan J, Saville K","AffiliationsHtml":"
1Brooke Hospital For Animals, Lahore Pujnab, Pakistan
"}],"DisplayName":"Javed Iqbal","TimeDisplay":null},{"ContactId":"fb88a7ef-ca8c-45b6-b0c7-11a87dc57a92","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"María Victoria","LastName":"Iriarte","Position":"Phd Student","Organization":"Wageningen University and Research","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fe4dd6a4fbb941a9b59a24ec589d998d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"MAIN FACTORS ASSOCIATED WITH FMDV INTRODUCTION AND INFECTION DURING THE 2001 EPIDEMIC IN URUGUAY ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3c098f2f-0291-43d8-9375-8d12968171e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.D - Epidemiology of FMD","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Html":null,"PlainText":"In April 2001, a major epidemic affected Uruguay, which had been FMD free without vaccination for the previous 7 years.
The objective of this study was to identify factors associated with the FMDV introduction and spread during this epidemic.
A simple stochastic susceptible-exposed-infectious-removed model was developed to estimate the time of initial infection for each of the affected farms. This estimation was based on the number of animals with clinical signs reported by trained veterinarians attending the outbreaks. These estimated times were then used for further analysis. The association between the infection status of the farm and potential risk factors was assessed using multivariable logistic regression models.
The analyses indicated that between the time of introduction of infection in the country and the first detected infected farm (high-risk period (HRP)), there were probably more than 200 farms already infected. During this HRP, the probability of infection was significantly associated with the following factors: farms that combined livestock with crop production, farm size, the livestock species kept, animal movements, the presence of pigs in the farm, and the distance from farms to main routes. Farm size (farms > 134 animals) and the species kept (cattle farms) remained as risk factors for the entire epidemic, suggesting that these type of farms would need more rigorous biosecurity measures to control future epidemics.
In addition, all of the identified factors associated within the HRP would be useful to prioritize the surveillance system for first detection of FMDV.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7c61ca5be2234ef5a7052905626fc5fa","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Title":"Ms.","FirstName":"María Victoria","LastName":"Iriarte Barbosa","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Iriarte Barbosa M"},{"PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Title":null,"FirstName":"José Luis","LastName":"Gonzáles","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Gonzáles J"},{"PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Title":null,"FirstName":"Eduardo","LastName":"De Freitas","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"De Freitas E"},{"PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Title":null,"FirstName":"Andrés D.","LastName":"Gil","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Gil A"},{"PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Title":null,"FirstName":"Mart C.M","LastName":"de Jong","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"de Jong M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Number":1,"Affiliation":"Wageningen University & Research","City":"Wageningen","State":null,"Country":"Netherlands","AffiliationDisplay":"Wageningen University & Research, Wageningen, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Number":2,"Affiliation":"Wageningen Bioveterinary Research","City":"Lelystad","State":null,"Country":"Netherlands","AffiliationDisplay":"Wageningen Bioveterinary Research, Lelystad, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"28b7352d-1df3-4ae0-9254-246a73040ff2","Number":3,"Affiliation":"Facultad de Veterinaria, UdelaR","City":null,"State":null,"Country":"Uruguay","AffiliationDisplay":"Facultad de Veterinaria, UdelaR, Uruguay"}],"AuthorsHtml":"Iriarte Barbosa M1, Gonzáles J2, De Freitas E2, Gil A3, de Jong M1","AffiliationsHtml":"
1Wageningen University & Research, Wageningen, Netherlands
2Wageningen Bioveterinary Research, Lelystad, Netherlands
3Facultad de Veterinaria, UdelaR, Uruguay
"},{"Title":"ASSESSING INTERVENTIONS BY USING DATA FROM THE 2001 FMD EPIDEMIC CURVE OF URUGUAY","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"885bd9f5-084f-4515-95f0-27184c054f0f","Html":null,"PlainText":"In 2001, a major FMD epidemic affected Uruguay. Between 24 and 30 April 2001, the control measures implemented were ban of animal and animal products movements, culling the sick and in contact FMD susceptible animals, biosecurity measures and emergency ring vaccination within a 10 km radius around outbreaks. On 1 May, stamping out was stopped and a mass vaccination of the entire cattle population was adopted on 5 May, with the second dose starting on 15 June.
The objective of this study was to assess the effectiveness of interventions by estimating the effective reproduction number (Re) during the course of the epidemic.
Herds were the unit of analysis. Simple log-linear models were used to estimate the growth and decay rates of the epidemic. Re was estimated taking into account the uncertainty around the serial interval distribution (discrete gamma distribution, mean 8.5 days, standard deviation 2 days).
The growth rate prior to the peak was 0.084 (95% CI 0.061 - 0.107), and the decay rate after the peak was -0.047 (95% CI -0.051 - -0.043). The R’s distribution estimated from these rates are showed in Figure 1.
Despite the fact that the Re started falling after implementing control measures once the first outbreak was detected, the goal to lower the Re to a value below 1 was only achieved on 19 May 2001, 14 days after starting mass vaccination.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"885bd9f5-084f-4515-95f0-27184c054f0f","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/88f76a9f93d0495ab4f9b1df6383a2aa","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"885bd9f5-084f-4515-95f0-27184c054f0f","Title":"Ms.","FirstName":"María Victoria","LastName":"Iriarte","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Iriarte M"},{"PresentationId":"885bd9f5-084f-4515-95f0-27184c054f0f","Title":null,"FirstName":"José Luis","LastName":"Gonzáles","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Gonzáles J"},{"PresentationId":"885bd9f5-084f-4515-95f0-27184c054f0f","Title":"Mr.","FirstName":"Andres","LastName":"Gil","Position":"Board member","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Gil A"},{"PresentationId":"885bd9f5-084f-4515-95f0-27184c054f0f","Title":"prof.dr.ir.","FirstName":"Mart C.M","LastName":"de Jong","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"de Jong M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"885bd9f5-084f-4515-95f0-27184c054f0f","Number":1,"Affiliation":"Wageningen University & Research","City":"Wageningen","State":null,"Country":"Netherlands","AffiliationDisplay":"Wageningen University & Research, Wageningen, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"885bd9f5-084f-4515-95f0-27184c054f0f","Number":2,"Affiliation":"Wageningen Bioveterinary Research","City":"Lelystad","State":null,"Country":"Netherlands","AffiliationDisplay":"Wageningen Bioveterinary Research, Lelystad, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"885bd9f5-084f-4515-95f0-27184c054f0f","Number":3,"Affiliation":"Facultad de Veterinaria, UdelaR","City":null,"State":null,"Country":"Uruguay","AffiliationDisplay":"Facultad de Veterinaria, UdelaR, Uruguay"}],"AuthorsHtml":"Iriarte M1, Gonzáles J2, Gil A3, de Jong M1","AffiliationsHtml":"
1Wageningen University & Research, Wageningen, Netherlands
2Wageningen Bioveterinary Research, Lelystad, Netherlands
3Facultad de Veterinaria, UdelaR, Uruguay
"}],"DisplayName":"María Victoria Iriarte","TimeDisplay":null},{"ContactId":"75145aee-25f7-4328-b582-e2bb79d915c2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ellen","LastName":"Jackson","Position":"Phd Student","Organization":"University of Montreal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Using directed acyclic graphs to identify confounders of the relationship between pig roaming and pig cysticercosis (Taenia solium)","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fd4427d9-f8ef-4590-a58b-25f75a26cfc4","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Html":null,"PlainText":"Objective: Taenia solium cysticercosis/taeniasis is a neglected tropical parasitic disease of humans and pigs that causes significant economic losses in endemic areas. Its complex life cycle suggests multiple points for control, such as by confining pigs to reduce their exposure to the parasite. However, this complexity also renders confounders of the relationship between risk factors and infection difficult to identify.
Methods: Multiple databases were searched for studies on the epidemiology of Taenia solium. After screening, 151 studies containing a total of 183 potentially causal associations were included. Two criteria for causality (one requiring a weak threshold, the other strong) were combined with expert opinions to draw “strong” and “weak” directed acyclic graphs (DAGs). These were used to identify confounders of the association between pig roaming and antigen seropositivity in a cross-sectional survey of 2187 pigs in 60 villages in Burkina Faso conducted in 2011-12. This association was analyzed using hierarchical logistic regression to control for clustering of infections within villages with confounding variables chosen by the strong and weak DAGs.
Results: The strong DAG identified no confounders of the association between pig roaming and pig cysticercosis. The weak DAG demonstrated that at minimum four confounders (household density, pig age, season, and socioeconomic status) needed to be adjusted in the analysis. Pig roaming was not associated with pig cysticercosis (OR 0.90, 95%CI 0.74-1.10) in our model with no confounders. Adjusting for possible confounders produced similar results (OR 0.87, 95%CI 0.71-1.07).
Conclusions: Pig roaming is not significantly associated with pig cysticercosis in our models using differing strengths of causality. Our work demonstrates how DAGs can be used to perform sensitivity analyses of epidemiologically-defined confounders. During our presentation, we will discuss using Bayesian methods to correct for misclassification when measuring our outcome. We will also present results using different definitions of pig confinement.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Ellen","LastName":"Jackson","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jackson E"},{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Veronique","LastName":"Dermauw","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Dermauw V"},{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Guy Eyaba","LastName":"Tchamdja","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Tchamdja G"},{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Mohammad","LastName":"Shah Jalal","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Shah Jalal M"},{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Amanda","LastName":"Janitz","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Janitz A"},{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Athanase","LastName":"Millogo","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Millogo A"},{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Rasmané","LastName":"Ganaba","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Ganaba R"},{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Zékiba","LastName":"Tarnagda","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Tarnagda Z"},{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Pierre","LastName":"Dorny","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Dorny P"},{"PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Title":"Dr.","FirstName":"Hélène","LastName":"Carabin","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":10,"DisplayName":"Carabin H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e328b3be-5e82-4d02-8549-2c36242be401","Number":1,"Affiliation":"University Of Montreal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"University Of Montreal, Saint-Hyacinthe QC, Canada"}],"AuthorsHtml":"Jackson E1, Dermauw V, Tchamdja G, Shah Jalal M, Janitz A, Millogo A, Ganaba R, Tarnagda Z, Dorny P, Carabin H","AffiliationsHtml":"
1University Of Montreal, Saint-Hyacinthe QC, Canada
"}],"DisplayName":"Ellen Jackson","TimeDisplay":null},{"ContactId":"c9175836-9205-4ec0-bc8f-0a6b98f491c4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Wendi","LastName":"Jackson","Position":"Veterinarian Specialist (epidemiology)","Organization":"UC Davis and California Department of Food and Agriculture","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Prevalence and antibiotic resistance of ovine respiratory bacteria (Mannheimia haemolytica and Pasteurella multocida) isolated from healthy sheep processed in California: Results from a pilot study","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Html":null,"PlainText":"Objective(s): To determine the prevalence and antibiotic susceptibility profiles of Mannheimia haemolytica and Pasteurella multocida isolated from the upper respiratory tract of healthy sheep processed in California.
Materials and Methods: A total of 620 healthy sheep carcasses were sampled at slaughter from a processing facility in California, from April through September 2021. Respiratory swabs of the deep nasopharyngeal region were screened for the presence of target bacteria and isolates were analyzed for susceptibility to antibiotics used to treat respiratory infection in sheep. Cumulative antibiotic susceptibility results were compiled for risk groups, including the development of antibiograms.
Results: All sheep from California farms (300) were to be marketed as ‘antibiotic-free’ and, of animals raised out-of-state (320), 130 were to be marketed as ‘antibiotic-free’ and 190 were not marketed under this label. Of the total 620 carcasses sampled, 345 had at least one isolate of interest recovered (290 M. haemolytica and 98 P. multocida) for an isolation rate of 56% . Based on veterinary breakpoints, all P. multocida isolates showed susceptibility to all antibiotics tested, and M. haemolytica isolates showed high susceptibility (>90%) to all antibiotics tested except penicillin (24%). Multidrug resistance was not found in any isolate in either target organism.
Conclusion: There was very low to no phenotypic antimicrobial resistance across both bacterial species tested, demonstrating good efficacy of most antibiotic treatment options for pathogens that frequently cause respiratory disease in sheep. Sampling at slaughter presents the opportunity to gather information from the ovine respiratory tract in a manner that is otherwise not possible in live sheep. Findings may not be generalizable to sheep with clinical respiratory disease, non-commercial producers, or conventional producers.
Keywords: antibiotic resistance, ovine respiratory disease, antibiogram, Mannheimia haemolytica, Pasteurella multocida","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Title":"Mrs.","FirstName":"Wendi","LastName":"Jackson","Position":"Veterinarian Specialist (epidemiology)","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jackson W"},{"PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Title":"Dr.","FirstName":"Edie","LastName":"Marshall","Position":"Branch Chief","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Marshall E"},{"PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Title":"Dr.","FirstName":"Heather","LastName":"Fritz","Position":"Assistant Professor of Clinical Bacteriology","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Fritz H"},{"PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Title":null,"FirstName":"Craig","LastName":"Bross","Position":"Research Scientist I","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Bross C"},{"PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Title":null,"FirstName":"Jenna","LastName":"Tucker","Position":"Research Scientist II","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Tucker J"},{"PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Title":null,"FirstName":"Jay","LastName":"Adams","Position":"Research Scientist II","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Adams J"},{"PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Title":"Dr","FirstName":"Marissa","LastName":"Silva","Position":"Veterinarian (General)","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Silva M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Number":1,"Affiliation":"California Department of Food and Agriculture, Antimicrobial Use and Stewardship Branch","City":"Sacramento","State":"CA","Country":"USA","AffiliationDisplay":"California Department of Food and Agriculture, Antimicrobial Use and Stewardship Branch, Sacramento CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"52f28483-68e9-4dd1-acef-f20c01608286","Number":2,"Affiliation":"California Animal Health and Food Safety Laboratory, UC Davis School of Veterinary Medicine","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"California Animal Health and Food Safety Laboratory, UC Davis School of Veterinary Medicine, Davis CA, USA"}],"AuthorsHtml":"Jackson W1, Marshall E1, Fritz H2, Bross C1, Tucker J1, Adams J1, Silva M1","AffiliationsHtml":"
1California Department of Food and Agriculture, Antimicrobial Use and Stewardship Branch, Sacramento CA, USA
2California Animal Health and Food Safety Laboratory, UC Davis School of Veterinary Medicine, Davis CA, USA
"},{"Title":"Clinical and bacteriological findings in probable septic and non-septic calves and the use of Bayesian latent class analysis (BLCA) to evaluate sepsis diagnostic tests ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a72e676e-c7d7-4b76-8c8c-1c734d9b93aa","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.C - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"6feebc5c-a2f2-4b46-8b8a-5f91ba947ce2","Html":null,"PlainText":"Objective(s): To evaluate the test accuracy of sepsis score, complete blood count (CBC), and blood culture, and to estimate sepsis prevalence in neonatal calves using BLCA; and to determine clinical and bacteriological findings in bacteremic calves.
Materials and Methods: Sixty neonatal calves (≤10 days of age) were enrolled in a prospective cross-sectional study at a calf-ranch in California. Each calf was categorized as probable septic or non-septic based on clinical assessment using a sepsis score. Blood culture and CBC were performed on all calves and pre-established criteria were used to further classify calves into binary sepsis categories. All 60 calves were cross-classified into one of eight possible test combination categories for a 3-test, 1 population BLCA model. Expert knowledge from clinicians was used for informative prior elicitation. Sensitivity analysis was performed by including dependence parameters and diffuse priors into the model. Bacterial culture, identification, and antibiotic susceptibility were performed on all positive blood culture samples.
Results: Twenty-three calves were categorized as probable septic and 37 as non-septic based on initial assessment using the sepsis score. A total of 22 calves were categorized as negative for sepsis on cross-classification for all three tests. The posterior estimate derived from BLCA for sepsis prevalence was 22% for this study population. Complete blood count performed the best of the three sepsis tests across all models for its accuracy in diagnosing sepsis. Gram-negative bacteria remain the most frequently isolated bacterial species in septic calves.
Conclusion: Neonatal calf mortality related to sepsis is a considerable problem at calf-rearing facilities. Blood culture is the gold-standard test for sepsis, but its poor sensitivity makes it an imperfect test. Utilizing BLCA, CBC had the highest accuracy and holds potential as a more timely and cost-effective tool for diagnosing septic calves.
Keywords: calf sepsis, BLCA, diagnostic accuracy, imperfect test, bacteremia","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6feebc5c-a2f2-4b46-8b8a-5f91ba947ce2","Title":"Dr.","FirstName":"Wendi","LastName":"Jackson","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jackson W"},{"PresentationId":"6feebc5c-a2f2-4b46-8b8a-5f91ba947ce2","Title":"Dr.","FirstName":"Munashe","LastName":"Chigerwe","Position":"Professor of Medicine and Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Chigerwe M"},{"PresentationId":"6feebc5c-a2f2-4b46-8b8a-5f91ba947ce2","Title":"Dr.","FirstName":"Woutrina","LastName":"Smith","Position":"Professor of Medicine and Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Smith W"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6feebc5c-a2f2-4b46-8b8a-5f91ba947ce2","Number":1,"Affiliation":"University of California, Davis, School of Veterinary Medicine","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"University of California, Davis, School of Veterinary Medicine, Davis CA, USA"}],"AuthorsHtml":"Jackson W1, Chigerwe M1, Smith W1","AffiliationsHtml":"
1University of California, Davis, School of Veterinary Medicine, Davis CA, USA
"}],"DisplayName":"Wendi Jackson","TimeDisplay":null},{"ContactId":"1e917c9f-6160-4e5a-a242-6bfb7fd78633","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jolanda","LastName":"Jansen","Position":"Strategic Communications Consultant and trainer","Organization":"St Anna Advies","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e78b23fb45a94f4db63d7b64f63e1a3e","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"drjjansen","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jolandajansen","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"drjjansen","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jolandajansen","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=drjjansen","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jolandajansen","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=drjjansen","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/jolandajansen","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Serious games as an innovative tool for data collection and training in disease control programs. ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3e92c612-9813-45ad-825f-6027761ab0ac","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.D - Risk Assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"86c7efb3-b2f9-49a1-8663-d556a86fc27a","Html":null,"PlainText":"Objective:
Veterinarians and other veterinary advisors play a crucial role in disease control programs. Not only should these professionals be knowledgeable about prevention, monitoring and treatment of a certain health issue, but they also need to communicate this effectively. Currently, questionnaires are often used to collect data about technical skills and communication competences of veterinary professionals and information is distributed or trainings are developed, if needed. Serious games could be a cost effective and time efficient way to collect information and train professionals in disease control programs.

Material & Methods:
The Veterinary DialogueTrainer (VDT) is a serious game, which simulates and assesses interactions between people in the veterinary field, for example between a veterinary professional and a farmer. This tool has numerous implementation options, e.g., baseline measurement, training tool or impact assessment. The VDT can be played on any device and allows participants to actively practice their skills in realistic and safe online environments. Various skills can be assessed, such as technical knowledge of a certain disease, or participants’ approaches in motivating the other to prevent diseases. The VDT has been used to measure and improve the skills of Dutch veterinarians and students regarding companion animal health (obesity, antiparasitic treatment), and cattle health (BRD, BVD).

Results:
Preliminary results demonstrate that the VDT is perceived as a fun, safe and objective way to collect data and practice skills. Data collected by the VDT provides a better understanding of current skills and knowledge. Results also show that participants can improve their scores based on the received feedback.

Conclusion:
Preliminary results are promising as the VDT may be be an important link in effectively collecting information and translating learnt technical and communication skills into practice, resulting in improved adherence to veterinary advice and increased health and wellbeing of animals.

Keywords:
Communication
Gamification
Data
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"86c7efb3-b2f9-49a1-8663-d556a86fc27a","Title":"Ms.","FirstName":"Tessa","LastName":"Plagis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Plagis T"},{"PresentationId":"86c7efb3-b2f9-49a1-8663-d556a86fc27a","Title":"Mrs.","FirstName":"Jolanda","LastName":"Jansen","Position":"Strategic Communications Consultant and trainer","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Jansen J"},{"PresentationId":"86c7efb3-b2f9-49a1-8663-d556a86fc27a","Title":"Miss","FirstName":"Linda","LastName":"Dorrestein","Position":"Phd Candidate","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Dorrestein L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"86c7efb3-b2f9-49a1-8663-d556a86fc27a","Number":1,"Affiliation":"St. Anna Advies","City":"Beuningen","State":"Gelderland","Country":"Netherlands","AffiliationDisplay":"St. Anna Advies, Beuningen Gelderland, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"86c7efb3-b2f9-49a1-8663-d556a86fc27a","Number":2,"Affiliation":"University of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"University of Calgary, Calgary Alberta, Canada"}],"AuthorsHtml":"Plagis T1, Jansen J1, Dorrestein L2","AffiliationsHtml":"
1St. Anna Advies, Beuningen Gelderland, Netherlands
2University of Calgary, Calgary Alberta, Canada
"}],"DisplayName":"Jolanda Jansen","TimeDisplay":null},{"ContactId":"fa52c567-db23-4a32-92a8-edb6a2e20524","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ana","LastName":"Jaramillo","Position":"Student","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/af9151d9a3ec43e09ca185e56b8094b3","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Effects of storage conditions on dairy cattle fecal microbiome diversity","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c1c11a1c-5822-448a-bb08-ed70a2ae1d07","Html":null,"PlainText":"Keywords: Microbiome, fecal samples, storage conditions

Objective
Microbiome analyses have been used to describe the composition and diversity of bacterial communities. Different storage conditions could impact microbiome metrics. Our objective was to determine the effect of storage time at 4°C refrigeration and ethanol preservation at room temperature compared to -80°C freezing on microbiome diversity in dairy cattle feces.

Materials and methods
Composite fecal samples from 22 dairy farms were aliquoted into four subsamples that were stored: at -80°C (0d), at 4°C for three (3d) and seven days (7d), and mixed 1:1 with ethanol 100% (E) prior to DNA extraction. 16S rRNA gene sequences were evaluated through alpha (Shannon, P evenness, observed features and Faith PD) and beta (Bray-Curtis, βw, βmn and β-2) diversity indices. Differences in storage conditions were evaluated using general mixed models, including farm-id as a random effect.

Results
Alpha diversity Shannon and P evenness of storage 3d, 7d and E were significantly different from 0d (p < 0.005), whereas for Faith PD and observed features, only E showed significant differences compared with 0d (P < 0.005). For beta diversity, 7d resulted in significant differences to 0d and 3d (p < 0.001) but no significant differences to E. For matrices βw and βmn, E was significantly different from 0d and 3d (p < 0.001), but no differences were identified for matrices Bray-Curtis and β-2.

Conclusions
Storage at 4°C (3d and 7d) and E affected the alpha diversity of the microbiome. Three days of storage at 4°C did not affect the beta diversity of the microbiome, but seven days did, compared to frozen storage. Ethanol affected both alpha and beta diversity, but it could be an option when immediately freezing the samples is not possible.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c1c11a1c-5822-448a-bb08-ed70a2ae1d07","Title":"Miss","FirstName":"Ana","LastName":"Jaramillo","Position":"Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jaramillo A"},{"PresentationId":"c1c11a1c-5822-448a-bb08-ed70a2ae1d07","Title":"Mr.","FirstName":"J Trenton","LastName":"Mcclure","Position":"Professor, Large Animal Internal Medicine","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mcclure J"},{"PresentationId":"c1c11a1c-5822-448a-bb08-ed70a2ae1d07","Title":"Mr.","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Sanchez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c1c11a1c-5822-448a-bb08-ed70a2ae1d07","Number":1,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University Of Prince Edward Island","City":"Charlottetown","State":"Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University Of Prince Edward Island, Charlottetown Prince Edward Island, Canada"}],"AuthorsHtml":"Jaramillo A1, Mcclure J1, Sanchez J1","AffiliationsHtml":"
1Department of Health Management, Atlantic Veterinary College, University Of Prince Edward Island, Charlottetown Prince Edward Island, Canada
"}],"DisplayName":"Ana Jaramillo","TimeDisplay":null},{"ContactId":"f8604621-a188-427a-b646-8c2eb1a43807","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nichelle","LastName":"Jasper","Position":"Research Assistant","Organization":"University of Georgia","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8e0d7fa0b98148ccbd43cd0f3fb4cdb4","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"“I think it is quite a risky business actually!” Perceptions of Zoonotic Disease Risks by Food Animal Veterinarians.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"bb86a92e-d2a5-40ee-a236-98aaa56c7ae5","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.D - One Health","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ad0393ac-f2ac-4759-92f3-6e0b94aebe37","Html":null,"PlainText":"Objectives: Exposure to zoonotic disease is expected while practicing veterinary medicine. However, reports of occupational infections among US may indicate a lack of adherence to appropriate prevention strategies. To identify key targets for infection control strategies among veterinary personnel, the objectives of this pilot study were to, 1) investigate food animal practitioners’ perceptions about zoonotic disease exposure and their personal risk of infection, and 2) evaluate case-based infection prevention decision-making.

Materials and Methods: Three food animal practitioners from Trinidad and Tobago participated. Each practitioner completed a 40 - 60 minute interview conducted and recorded via Zoom®. While interviews were standardized, they were allowed to evolve in an organic manner. Participants were asked their demographics, perceptions of zoonotic risk, and on-farm infection control practices. Each participant also responded to a specific case scenario of a diarrheic calf suggestive of Cryptosporidium parvum. Transcripts were generated using Temi® software, checked for accuracy, and thematic analysis was conducted using NVivo® software.

Results: Respondents agreed unanimously about the importance of zoonotic disease exposure risk. However, responses to the case scenario highlighted differences in practitioners’ perceived level of risk and infection control decision-making, particularly regarding the appropriate level of PPE required for on-farm practice. This suggests that in the absence of employing ‘standard’ infection control practices, individual perceptions may lead to varying levels of exposure and preventable zoonoses in practitioners.

Conclusion: These preliminary results suggest that while food animal practitioners have a general awareness of their risk of exposure to zoonotic disease and that it’s application is inconsistent, highlighting the absence of standard infection control practices. This study’s validation presents an opportunity for its use with food animal practitioners providing greater insight for evidence-based, best practices infection prevention strategies in the veterinary profession.

Keywords: zoonotic disease, infection control, perception, risk, qualitative
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ad0393ac-f2ac-4759-92f3-6e0b94aebe37","Title":"Dr.","FirstName":"Nichelle","LastName":"Jasper","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jasper N"},{"PresentationId":"ad0393ac-f2ac-4759-92f3-6e0b94aebe37","Title":"Dr. ","FirstName":"Brandy, A.","LastName":"Burgess","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Burgess B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ad0393ac-f2ac-4759-92f3-6e0b94aebe37","Number":1,"Affiliation":"College of Veterinary Medicine, University of Georgia","City":"Athens","State":"GA","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine, University of Georgia, Athens GA, USA"}],"AuthorsHtml":"Jasper N1, Burgess B1","AffiliationsHtml":"
1College of Veterinary Medicine, University of Georgia, Athens GA, USA
"}],"DisplayName":"Nichelle Jasper","TimeDisplay":null},{"ContactId":"888f981a-0e2e-4a72-be5b-47ba37e36a57","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Wudu Temesgen","LastName":"Jemebru","Position":"Researcher","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Economic burden of small ruminants mortality in Ethiopia","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Html":null,"PlainText":"This study was conducted to estimate the economic burden from mortality in sheep and goat (small ruminants) production in Ethiopia.

A herd dynamic model was used to simulate national annual production of small ruminants based on inputs of flock composition, demographic, offtake, disease, production, and price parameters. The input parameters were derived from national statistical surveys and literature, and the main inputs were inputted in the form of probability distributions for stochastic simulation. The model was used to simulate two scenarios: in the absence of mortality, and with the existing rate of mortality. The difference in the annual revenue between the two scenarios was considered as annual economic burden of mortality.

The total annual national revenue from small ruminant population under current situation (2021) was estimated at USD 2.1 billion (range1.1 – 2.6 ). From this USD1.8 billion (range 1.1 – 2.6) was derived from primary production outputs such as increased stock value and net live animal offtake, and USD 0.23 billion (range 0.18 – 0.30) was from secondary production outputs such as milk, manure, and skin. If there was no mortality, the annual national revenue derived from the small ruminants would have been 57% higher at USD 3.2 billion (range 2.3 – 4.6), with an estimated economic burden due to mortality of USD 1.4 billion (range 1.0 – 1.8). If the current mortality is reduced by half, the economic loss would be reduced to USD 0.7 billion (range 0.5 – 0.9).

The huge economic loss attributable to mortality in small ruminants raises issues of the need to understand the underlying risk factors and causes of this burden to identify interventions that are financially feasible, socially acceptable and economically justifiable.

Keywords: Economic, Ethiopia, loss, mortality, small ruminants


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Title":"Mr.","FirstName":"Wudu Temesgen","LastName":"Jemebru","Position":"Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jemebru W"},{"PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Rushton J"},{"PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Title":"Dr.","FirstName":"Wondwosen","LastName":"Asfaw","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Asfaw W"},{"PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Title":"Dr","FirstName":"Barbara","LastName":"Wieland","Position":"Principal Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Wieland B"},{"PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Title":"Dr.","FirstName":"Yin","LastName":"Li","Position":"","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Li Y"},{"PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Knight-Jones T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Number":1,"Affiliation":"Global Burden of Animal Diseases, International Livestock Research Institute, PO Box 5689, Addis Ababa, Ethiopia. ","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases, International Livestock Research Institute, PO Box 5689, Addis Ababa, Ethiopia. "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Number":2,"Affiliation":"Global Burden of Animal Diseases, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool, L3 5RF, UK.","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool, L3 5RF, UK."},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Number":3,"Affiliation":"Institute of Virology and Immunology (IVI), Bern, Switzerland","City":null,"State":null,"Country":null,"AffiliationDisplay":"Institute of Virology and Immunology (IVI), Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"401e0692-ddd2-4107-9518-fbe1757b2d5a","Number":4,"Affiliation":"Food Systems and Global Change, CSIRO, Brisbane, Australia","City":null,"State":null,"Country":null,"AffiliationDisplay":"Food Systems and Global Change, CSIRO, Brisbane, Australia"}],"AuthorsHtml":"Jemebru W1, Rushton J2, Asfaw W1, Wieland B3, Li Y4, Knight-Jones T1","AffiliationsHtml":"
1Global Burden of Animal Diseases, International Livestock Research Institute, PO Box 5689, Addis Ababa, Ethiopia.
2Global Burden of Animal Diseases, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool, L3 5RF, UK.
3Institute of Virology and Immunology (IVI), Bern, Switzerland
4Food Systems and Global Change, CSIRO, Brisbane, Australia
"},{"Title":"Application of analytical processes in country - implementing GBADs methodology in Ethiopia","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Html":null,"PlainText":"The Ethiopian case study provides a worked example of the GBADs process and methodology from data gleaning, cleaning and processing to outputs. National central statistical agency databases, meta-analysis of literature review data and expert elicitation (Cooke and IDEA methods) were used to generate data for the analytical process (Fig 1). Key livestock species relied upon in Ethiopia include cattle, poultry, equids, camels and small ruminants and here we present the small ruminant example.

Step 1 classified livestock production systems present in the country and step 2 estimated livestock biomass within each production system (number of animals multiplied by average weight of animals within age-sex groups). Step 3 estimated the monetary value of livestock (number of animals multiplied by current market value) and the economic output value (offtake, change in flock size, hides, dung, milk) by multiplying current production volume (e.g., heads, kg, litre) by corresponding market prices. Step 4 estimated the animal health loss envelope (AHLE). This is the difference in production (outputs - inputs) between the current scenario and an idealised scenario where all livestock are free from disease, accidents, injury and predation and have adequate access to water and nutrition. For sheep in the crop mixed livestock system the AHLE was estimated at 30500 million birr (US$ 735 M) per year. Step 5 attributed the AHLE to three broad level causes: i) external factors ii) infectious causes and iii) non-infectious causes. Initial analysis shows 49% (median) of mortality losses in small ruminants in the crop-mixed-livestock system (10 million animals per year) are attributable to infectious causes, 28% to non-infectious and 23% to external.

Step 6 passes the AHLE to the wider economy theme who will estimate gross changes and impact on the economy resulting from the AHLE burden and Step 7 is to work with the human health theme to estimate a combined burden of zoonoses on human and livestock health.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/177b46eb83ca496db95e5b5fc6e7aa52","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Title":"Mr.","FirstName":"Wudu Temesgen","LastName":"Jemebru","Position":"Researcher","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Jemebru W"},{"PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Title":"Dr.","FirstName":"Gemma","LastName":"Chaters","Position":"Analyst","Affiliations":"1,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Chaters G"},{"PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Knight-Jones T"},{"PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Title":"Dr.","FirstName":"Peggy","LastName":"Schrobback","Position":"Research Scientist","Affiliations":"1,4","IsPresenting":false,"SortOrder":4,"DisplayName":"Schrobback P"},{"PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Title":"Dr.","FirstName":"Yin","LastName":"Li","Position":"","Affiliations":"1,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Li Y"},{"PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Title":"Dr.","FirstName":"Andrew","LastName":"Larkins","Position":"Phd Candidate | Research Assistant","Affiliations":"1,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Larkins A"},{"PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Affiliations":"1,5","IsPresenting":false,"SortOrder":7,"DisplayName":"Bruce M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Number":1,"Affiliation":"Global Burden of Animal Diseases programme","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases programme"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Number":2,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Number":3,"Affiliation":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Number":4,"Affiliation":"CSIRO Agriculture and Food","City":"St. Lucia","State":null,"Country":"Australia","AffiliationDisplay":"CSIRO Agriculture and Food, St. Lucia, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47e69a9d-103d-45b0-88a0-7d7599b17ceb","Number":5,"Affiliation":"School of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University","City":"Murdoch","State":"WA","Country":"Australia","AffiliationDisplay":"School of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University, Murdoch WA, Australia"}],"AuthorsHtml":"Jemebru W1,2, Chaters G1,3, Knight-Jones T1,2, Schrobback P1,4, Li Y1,4, Larkins A1,5, Bruce M1,5","AffiliationsHtml":"
1Global Burden of Animal Diseases programme
2International Livestock Research Institute, Addis Ababa, Ethiopia
3Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
4CSIRO Agriculture and Food, St. Lucia, Australia
5School of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University, Murdoch WA, Australia
"},{"Title":"Economic impact of peste des petits ruminants outbreak and vaccination cost in Metama district, northwest Ethiopia","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a16a66a7-b71c-46e1-924e-61f777a167f6","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"081e414a-d10c-43ee-b162-0d465a6c7325","Html":null,"PlainText":"This study was conducted to assess the economic impact and costs of PPR vaccination in Metema district, northwest Ethiopia.
The economic impact of the disease was estimated from outbreak investigation and interviews of 233 smallholder farmers in PPR affected sub-districts. The cost of PPR vaccination was obtained from vaccination programs in six sub-districts and from secondary data from the district veterinary office. In investigated PPR outbreak, animal level PPR morbidity and mortality were, respectively, 50.7% and 21.6% in sheep and 51.3% and 25.1% in goats. In the sub-district 82.7% of sheep flocks and 87% of goat flocks had PPR. The mean flock level loss for affected sheep flocks was USD 329 (95%CI: 250 -408) and USD 300 (95%CI: 247-353) for affected goat flocks. The losses in all study flocks (including those without cases) during the outbreak equated to USD13.4 per sheep and USD12.9 per goat. Mortality accounted for more than 70 % of the total losses in both sheep and goat flocks. Vaccination costs for PPR was estimated at USD 0.13 per correctly vaccinated animal, with delivering the vaccine to the animal accounting for 44% of vaccination costs. Based on the estimated animal level economic losses from PPR and vaccination cost, it can be conjectured that vaccination will pay if outbreaks of PPR in the district occur more often than once every 13 years, without considering the sizeable long-term and indirect benefits of PPR control.
In conclusion, PPR causes high morbidity and mortality resulting in high economic loss, significantly reducing the income and livelihoods of sheep and goat producers, and other value chain actors. Vaccination reduces PPR impact in a cost-effective way and strengthening vaccination programs is likely to reduce economic impact and improve livelihoods.
Keywords: Peste des petits ruminants, Economic, Ethiopia, Outbreak, Small ruminants, Vaccination.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"081e414a-d10c-43ee-b162-0d465a6c7325","Title":"Dr.","FirstName":"Wudu Temesgen","LastName":"Jemberu","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Jemberu W"},{"PresentationId":"081e414a-d10c-43ee-b162-0d465a6c7325","Title":"Dr.","FirstName":"Alemseged","LastName":"Gebru","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Gebru A"},{"PresentationId":"081e414a-d10c-43ee-b162-0d465a6c7325","Title":"Dr","FirstName":"Theodore","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Knight-Jones T"},{"PresentationId":"081e414a-d10c-43ee-b162-0d465a6c7325","Title":"Dr.","FirstName":"Sefinew","LastName":"Alemu","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Alemu S"},{"PresentationId":"081e414a-d10c-43ee-b162-0d465a6c7325","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Rushton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"081e414a-d10c-43ee-b162-0d465a6c7325","Number":1,"Affiliation":"Global Burden of Animal Diseases, International Livestock Research Institute, PO Box 5689, Addis Ababa, Ethiopia","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases, International Livestock Research Institute, PO Box 5689, Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"081e414a-d10c-43ee-b162-0d465a6c7325","Number":2,"Affiliation":"University of Gondar, P. O. Box 196, University of Gondar, Gondar, Ethiopia.","City":null,"State":null,"Country":null,"AffiliationDisplay":"University of Gondar, P. O. Box 196, University of Gondar, Gondar, Ethiopia."},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"081e414a-d10c-43ee-b162-0d465a6c7325","Number":3,"Affiliation":"Global Burden of Animal Diseases, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool, L3 5RF, UK.","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool, L3 5RF, UK."}],"AuthorsHtml":"Jemberu W1,2, Gebru A2, Knight-Jones T1, Alemu S2, Rushton J3","AffiliationsHtml":"
1Global Burden of Animal Diseases, International Livestock Research Institute, PO Box 5689, Addis Ababa, Ethiopia
2University of Gondar, P. O. Box 196, University of Gondar, Gondar, Ethiopia.
3Global Burden of Animal Diseases, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool, L3 5RF, UK.
"}],"DisplayName":"Wudu Temesgen Jemebru","TimeDisplay":null},{"ContactId":"50d41d47-567c-494e-9e3c-12e5029d927a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jaewoon","LastName":"Jeong","Position":"Science Advisor","Organization":"Fisheries And Oceans Canada","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/578e114dc2f54af5b4627f0e84bf97be","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Imperfect Estimation of Lepeophtheirus salmonis Abundance and its Impact on Salmon Lice Treatment on Atlantic Salmon Farms","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"bda94cc3-9cd7-4dce-b110-37d133b1551b","Html":null,"PlainText":"1.\tObjective(s)
Accurate monitoring of sea lice levels on salmon farms is critical to the efficient management of louse infestation; however, the abundance estimated through sampling cannot perfectly reflect the abundance on a given farm. While suggestions to improve the accuracy of sea lice abundance estimates have previously been made, the significance of the accuracy of such estimation has been poorly understood. Understanding the extent of error or bias in sample estimates can facilitate an assessment as to how influential this “imperfect\" information will likely be on management decisions, and can support methods to mitigate negative outcomes associated with imperfect estimates.

2.\tMaterials and methods
We built a model of a hypothetical Atlantic salmon farm using ordinary differential equations and simulated salmon lice (Lepeophtheirus salmonis) abundance over an entire production cycle. During this period salmon were periodically sampled using Monte Carlo approaches that adopted a variety of sample sizes, treatment thresholds, and sampling intervals. Treatments, which depend on monitored abundance, were characterized as early, timely, or late, as a result of over-estimation, appropriate estimation, and under-estimation, respectively.

3.\tResults
To achieve timely treatment, it is important to delay treatments until true abundance reaches some treatment threshold and to execute treatment as soon as this threshold is reached. Adopting larger sample sizes increased the frequency of timely treatments, largely by reducing the incidence of early treatments due to reduced variance in the monitored abundance rather than by reducing the incidence of late treatments. Changes in sampling interval and treatment threshold also influenced the accuracy of abundance estimates and thus the frequency of timely treatments.

4.\tConclusion
This study has implications for the manner in which fish should be sampled on salmon farms to ensure accurate salmon lice abundance estimates and consequently ensure the effective application of treatment.

salmon, sampling, sea lice","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bda94cc3-9cd7-4dce-b110-37d133b1551b","Title":"Dr.","FirstName":"Jaewoon","LastName":"Jeong","Position":"Science Advisor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jeong J"},{"PresentationId":"bda94cc3-9cd7-4dce-b110-37d133b1551b","Title":"Mr.","FirstName":"Crawford","LastName":"Revie","Position":"Professor Of Epidemiology","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Revie C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bda94cc3-9cd7-4dce-b110-37d133b1551b","Number":1,"Affiliation":"Fisheries and Oceans Canada","City":"Ottawa","State":"ON","Country":"Canada","AffiliationDisplay":"Fisheries and Oceans Canada, Ottawa ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bda94cc3-9cd7-4dce-b110-37d133b1551b","Number":2,"Affiliation":"University of Strathclyde","City":"Glasgow","State":"Scotland","Country":"UK","AffiliationDisplay":"University of Strathclyde, Glasgow Scotland, UK"}],"AuthorsHtml":"Jeong J1, Revie C2","AffiliationsHtml":"
1Fisheries and Oceans Canada, Ottawa ON, Canada
2University of Strathclyde, Glasgow Scotland, UK
"}],"DisplayName":"Jaewoon Jeong","TimeDisplay":null},{"ContactId":"4e06162d-9470-490b-923b-478311655f80","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Anniken","LastName":"Jerre","Position":"","Organization":"Norwegian Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluation of three commercial ELISA tests for serological detection of maedi-visna virus using Bayesian latent class analysis","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a72e676e-c7d7-4b76-8c8c-1c734d9b93aa","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.C - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"fa29c59c-ff45-49e3-9b46-312b3c1b26f2","Html":null,"PlainText":"Objectives
Maedi-visna virus (MVV) was detected through the national surveillance program in Norway in 2019, 14 years after the last detection. The virus has probably circulated despite continuous surveillance. In order to improve the surveillance program, we need a better understanding of test performance. This study aims to evaluate three commercial ELISAs to detect antibodies against MVV.

Materials and methods
We conducted a retrospective study using serum samples from the 2019 outbreak. In total, we used 615 samples originating from six herds diagnosed with MVV. We ran all samples with three tests: ID Screen® MVV/CAEV Indirect kit (IDvet Grabels, France), MVV/CAEV p28 Ab Verification Test (IDEXX Laboratories, Maine, USA) and Elitest MVV/CAEV (Hyphen Biomed, Neuville-sur-Oise, France), hereinafter referred to as test A, B and C respectively. Without a perfect reference test, we used Bayesian latent class analysis, including conditional dependence between tests, to estimate diagnostic accuracy and true prevalence in the herds.

Results
We found that test A had the highest median Se (A 99.3% [97.5-100.0 95% Posterior Credible Interval], B 79.5% [72.3-86.1] and C 97.4% [94.1-99.7]), while test B had the highest median Sp (A 99.1% [98.1-99.9], B 99.7% [99.1-100.0] and C 93.6% [91.4-95.8]). The estimated true prevalence in the six herds ranged from a median of 0.8% to 93.5%.

Conclusion
No single test had the highest estimates for both Se and Sp. The high sensitivity of test A in our study confirms that it is a good choice for screening in the Norwegian sheep population. However, verification of positive samples with a second test may be relevant if strict control measures are to be implemented. The estimated true prevalence in the six herds had a wide range, showing the need for a testing regime that can detect herds with low prevalence.

Keywords: Ovine, diagnostic test evaluation, sensitivity, specificity

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fa29c59c-ff45-49e3-9b46-312b3c1b26f2","Title":"DVM","FirstName":"Anniken","LastName":"Jerre","Position":"PhD-student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jerre A"},{"PresentationId":"fa29c59c-ff45-49e3-9b46-312b3c1b26f2","Title":"DVM, PhD","FirstName":"Anne Bang","LastName":"Nordstoga","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Nordstoga A"},{"PresentationId":"fa29c59c-ff45-49e3-9b46-312b3c1b26f2","Title":"M.Sc, PhD","FirstName":"Katharine Rose","LastName":"Dean","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Dean K"},{"PresentationId":"fa29c59c-ff45-49e3-9b46-312b3c1b26f2","Title":"DVM, PhD","FirstName":"Ingrid Hunter","LastName":"Holmøy","Position":"Associate professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Holmøy I"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fa29c59c-ff45-49e3-9b46-312b3c1b26f2","Number":1,"Affiliation":"Norwegian Veterinary Institute","City":"Ås","State":"Viken","Country":"Norway","AffiliationDisplay":"Norwegian Veterinary Institute, Ås Viken, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fa29c59c-ff45-49e3-9b46-312b3c1b26f2","Number":2,"Affiliation":"Norwegian University of Life Sciences, Faculty of Veterinary Medicine, Department of Production Animal Clinical Sciences","City":"Ås","State":"Viken","Country":"Norway","AffiliationDisplay":"Norwegian University of Life Sciences, Faculty of Veterinary Medicine, Department of Production Animal Clinical Sciences, Ås Viken, Norway"}],"AuthorsHtml":"Jerre A1, Nordstoga A1, Dean K1, Holmøy I2","AffiliationsHtml":"
1Norwegian Veterinary Institute, Ås Viken, Norway
2Norwegian University of Life Sciences, Faculty of Veterinary Medicine, Department of Production Animal Clinical Sciences, Ås Viken, Norway
"}],"DisplayName":"Anniken Jerre","TimeDisplay":null},{"ContactId":"6afdad9c-01b6-4b02-9493-354de3c12b0d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Chris","LastName":"Jewell","Position":"Senior Lecturer In Epidemiology","Organization":"Lancaster University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Chris works at the interface between epidemiology, infectious disease modelling, statistics, and high performance computing. He originally trained as a veterinary surgeon, but became interested in epidemics through his experience working on the foot and mouth disease outbreak in the UK in 2001. He believes strongly in application-focused statistical research and in effective communication of scientific outputs.

As a trained vet, Chris' interests lie in decision support systems for disease outbreak response, public health and zoonotic diseases. He has applications in communicable diseases such as foot and mouth disease, vector-borne diseases such as theileriosis, and zoonoses such as campylobacteriosis. In computational statistics, he works on MCMC methods for inference on stochastic dynamical models. He has a particular interest in high performance computing techniques for applying modern statistical methods to real-time inference on large population datasets.","Presentations":[{"Title":"Spatial epidemic models for SARS-CoV-2 in the UK: linking probability and applied statistics.","Bio":"Chris works at the interface between epidemiology, infectious disease modelling, statistics, and high performance computing. He originally trained as a veterinary surgeon, but became interested in epidemics through his experience working on the foot and mouth disease outbreak in the UK in 2001. He believes strongly in application-focused statistical research and in effective communication of scientific outputs.\r\n\r\nAs a trained vet, Chris' interests lie in decision support systems for disease outbreak response, public health and zoonotic diseases. He has applications in communicable diseases such as foot and mouth disease, vector-borne diseases such as theileriosis, and zoonoses such as campylobacteriosis. In computational statistics, he works on MCMC methods for inference on stochastic dynamical models. He has a particular interest in high performance computing techniques for applying modern statistical methods to real-time inference on large population datasets.","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"a2e9d146-090f-4806-9173-28a92bbc0dfd","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"11_Special Session: Animal Disease Spread Modelling","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"5bbc2943-6285-4b46-a0e7-eb79e94a2b68","Html":null,"PlainText":"Objectives
=========
During an epidemic, accurate situational awareness is required for informing adaptive control policy and for basing reliable quantitative forecasts of ongoing disease spread. Detailed epidemic models which incorporate population heterogeneity, such as spatial relationship and individual-level covariates, provide an opportunity to do this. However, their parameters must be estimated in a rigorous and unbiased way by formally fitting the model to the past history of the epidemic. Doing this is difficult due to censored epidemiologically-relevant events, such as infection times or the onset of infectiousness. For medium-sized populations -- such as a national population of farms -- data-augmentation MCMC provides an inferential technology for unbiased parameter estimation. For much larger populations, particle filtering promises much, but fails rapidly as model complexity increases. To address this issue, we provide a new approach to data-augmentation MCMC in large populations, using the example of a discrete-time spatial epidemic model for SARS-CoV-2 in the UK.

Materials and methods
==================
A discrete-time metapopulation epidemic model is constructed in which spatial administrative units are coupled using human-mobility data taken from UK Census 2011 data. A MCMC algorithm is then proposed which respects the ordering of epidemiological events demanded by the underlying epidemic model. The model is written in Python using `gemlib`, a new computational library for epidemics based on TensorFlow and TensorFlow Probability for GPU performance, modularity, and reuse.

Results
======
We present examples of model-based spatial epidemic nowcasts and projections that were passed to the UK government during the SARS-CoV-2 pandemic.

Conclusion
=========
Our work shows the potential of toplogically-aware MCMC methods for fitting epidemic models to large populations of millions of individuals. We also demonstrate the power of modern machine-learning tooling to modularise and ultimately translate cutting edge statistical developments into applied epidemiological use rapidly in emergency situations.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5bbc2943-6285-4b46-a0e7-eb79e94a2b68","Title":"Dr.","FirstName":"Chris","LastName":"Jewell","Position":"Senior Lecturer In Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jewell C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5bbc2943-6285-4b46-a0e7-eb79e94a2b68","Number":1,"Affiliation":"Lancaster University","City":"Lancaster","State":"Lancashire","Country":"United Kingdom","AffiliationDisplay":"Lancaster University, Lancaster Lancashire, United Kingdom"}],"AuthorsHtml":"Jewell C1","AffiliationsHtml":"
1Lancaster University, Lancaster Lancashire, United Kingdom
"}],"DisplayName":"Chris Jewell","TimeDisplay":null},{"ContactId":"0bb5e3b8-4576-44ff-8be5-5636e4aeb115","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Beibei","LastName":"Jia","Position":"Assistant Professor","Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Jia Beibei is an Assistant Professor of Aquatic Epidemiology at the Atlantic Veterinary College (AVC), University of Prince Edward Island. In addition to a veterinary degree, she holds masters degrees in preventive veterinary medicine and veterinary public health and PhD in veterinary epidemiology. She works on health management of farmed fish, including warm-water finfish species and Atlantic salmon. Her PhD thesis in 2016 involved aquaculture stakeholders in China and sustainable development challenges, including biosecurity and cost-return analysis of fish farmers, economic losses during fish transportation, and mortality risk factors for diseases of grass carp. Following postdoctoral training in aquatic epidemiology at AVC, her research has more recently involved salmonid production diseases. Her research focus continues to be on stakeholder engagement to improve sustainable development synergies between health research and production practices in aquaculture. She has also served as national veterinary epidemiologist at several international organizations including Food and Agriculture Organization, World Health Organization, and International Livestock Research Institute, using international perspectives for epidemiology capacity building and knowledge transfer to geographically dispersed audiences.

","Presentations":[{"Title":"Stakeholder approach and sustainable aquaculture: Perspectives from the Asia-Pacific region","Bio":"Dr. Jia Beibei is an Assistant Professor of Aquatic Epidemiology at the Atlantic Veterinary College (AVC), University of Prince Edward Island. In addition to a veterinary degree, she holds masters degrees in preventive veterinary medicine and veterinary public health and PhD in veterinary epidemiology. She works on health management of farmed fish, including warm-water finfish species and Atlantic salmon. Her PhD thesis in 2016 involved aquaculture stakeholders in China and sustainable development challenges, including biosecurity and cost-return analysis of fish farmers, economic losses during fish transportation, and mortality risk factors for diseases of grass carp. Following postdoctoral training in aquatic epidemiology at AVC, her research has more recently involved salmonid production diseases. Her research focus continues to be on stakeholder engagement to improve sustainable development synergies between health research and production practices in aquaculture. She has also served as national veterinary epidemiologist at several international organizations including Food and Agriculture Organization, World Health Organization, and International Livestock Research Institute, using international perspectives for epidemiology capacity building and knowledge transfer to geographically dispersed audiences. \r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"84014ab9-7df8-45c4-91df-995bc0c06e09","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"7_Special Session: Aquatic Epidemiology for Sustainable Food Animal Production Progress, Opportunities and Challenges","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"1733e6a8-2a4a-4798-81f4-3869ec36fd35","Html":null,"PlainText":"More than half of the world’s human consumption of fish and other aquatic food now arises from aquaculture and the Asia-Pacific region is the dominant producer globally. The United Nations Sustainable Development Goals (SDGs) identify their three pillars to be economic development, social development, and environmental protection. Aquaculture is an important sector helping to achieve several of the SDGs by 2030.
China, the regional and global aquaculture leader, has recently adopted the legal framework to incorporate the SDG goals in its national strategic guidelines for aquaculture development. Major trends for aquaculture stakeholders in China are green development and digitalization of aquaculture. Extensive digital measurement of environmental factors has afforded stakeholders many opportunities to adapt their production for more efficient production. However, prominent challenges in risk mitigation and disaster preparedness continue despite the use of big data.
A multi-stakeholder approach to update the current priorities for sustainable growth and development of aquaculture sector is occurring in China. This presentation will provide the perspective of a stakeholder approach adjusted for regional contexts, a key to achieving healthy and sustainable aquaculture globally. Stakeholders included are government research institutes, companies in aquaculture production and research, and companies involved in the value chain of aquatic products. Their roles are illustrated in good social relations, effective regulation, technology of growth, optimizing feed, health, and marketing. It will address the opportunities and challenges for the stakeholders to adapt, and the evolving drivers of aquatic epidemiological research topics addressing industry challenges.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1733e6a8-2a4a-4798-81f4-3869ec36fd35","Title":"Dr.","FirstName":"Beibei","LastName":"Jia","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jia B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1733e6a8-2a4a-4798-81f4-3869ec36fd35","Number":1,"Affiliation":"Department of Health Management, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Health Management, University of Prince Edward Island, Charlottetown PE, Canada"}],"AuthorsHtml":"Jia B1","AffiliationsHtml":"
1Department of Health Management, University of Prince Edward Island, Charlottetown PE, Canada
"},{"Title":"Risk factors of complex gill disease in farmed Atlantic salmon in British Columbia, Canada","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"971f871b-ff26-4671-96f9-bfcbe5783d16","Html":null,"PlainText":"Gill diseases challenge the growth performance of salmon aquaculture and often have multifactorial or complex etiologies. Our research is part of the Complex Gill Disease (CGD) Initiative. The CGD project joined the effort from industry, academic, and government agencies to tackle CGD in British Columbia (BC), Canada.
Objectives: The ongoing study is to identify risk factors contributing to the development of CGD.
Materials and methods: We targeted gill score information collected from feed trials in 2019 (two sites in company A), 2020 (two sites in Company B), and 2021 (four sites in Company B). Outcome of interest was fish-level gill health of normal (score 0), mild (score 1), medium (score 2), and severe (score 3) lesions. The following risk factors were included: (i) site-level biotic (e.g. plankton) and abiotic (water temperature DO, salinity, turbidity) and production factors (e.g. stocking, fallowing) (ii) pen-level population information (e.g. smolt source, stock type, daily biomass, and daily mortality); and (iii) cage-level fish health management factors (e.g. net washing, fish handling, and treatment). Graphical analyses were conducted to explore the annual and seasonal changes of gill lesions and predictor variables.
Results: Percentages of gill lesion (gill score>0) varied between 2- 90% of sampled fish for gill score. Seasonal variation of gill scores across sites. Mild lesions started late March and early April. Higher percentages of severe gill lesions occurred between June and September. We proposed the primary risk factors associated with the incremental changes of gill lesions, including fish genetics bakground, acute decrease of water salinity, and concurrent or predisposing fish handling stress.
Conclusions: Our current findings provided support for potential interaction of environmental factors and fish genetics on the gill health condition. The study reflects the pragmatic values of data-driven management in salmon aquaculture.

Keywords: Complex gill disease, farmed salmon, risk factors, British Columbia
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"971f871b-ff26-4671-96f9-bfcbe5783d16","Title":"Dr.","FirstName":"Beibei","LastName":"Jia","Position":"Postdoc Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jia B"},{"PresentationId":"971f871b-ff26-4671-96f9-bfcbe5783d16","Title":"Ms.","FirstName":"Sonja","LastName":"Saksida","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Saksida S"},{"PresentationId":"971f871b-ff26-4671-96f9-bfcbe5783d16","Title":"Dr.","FirstName":"Kathleen","LastName":"Frisch","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Frisch K"},{"PresentationId":"971f871b-ff26-4671-96f9-bfcbe5783d16","Title":"Dr.","FirstName":"Patrick","LastName":"Whittaker","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Whittaker P"},{"PresentationId":"971f871b-ff26-4671-96f9-bfcbe5783d16","Title":"Prof. Dr.","FirstName":"Mark","LastName":"Fast","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Fast M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"971f871b-ff26-4671-96f9-bfcbe5783d16","Number":1,"Affiliation":"University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"971f871b-ff26-4671-96f9-bfcbe5783d16","Number":2,"Affiliation":"CERMAQ","City":"Campbell River","State":"British Columbia","Country":"Canada","AffiliationDisplay":"CERMAQ, Campbell River British Columbia, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"971f871b-ff26-4671-96f9-bfcbe5783d16","Number":3,"Affiliation":"Grieg Seafood BC Ltd.","City":"Campbell River","State":"British Columbia","Country":"Canada","AffiliationDisplay":"Grieg Seafood BC Ltd., Campbell River British Columbia, Canada"}],"AuthorsHtml":"Jia B1, Saksida S1, Frisch K2, Whittaker P3, Fast M1","AffiliationsHtml":"
1University of Prince Edward Island, Charlottetown PE, Canada
2CERMAQ, Campbell River British Columbia, Canada
3Grieg Seafood BC Ltd., Campbell River British Columbia, Canada
"}],"DisplayName":"Beibei Jia","TimeDisplay":null},{"ContactId":"3b9bc394-b11a-4924-b125-7a3ddb10dd56","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mu","LastName":"Jin","Position":null,"Organization":"Johns Hopkins Bloomberg School of Public Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evidence for the Transmission of Antimicrobial Resistant Bacteria between Humans and Companion Animals: A Scoping Review","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"00fbcd54-1337-4964-92aa-173af53dc07a","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Html":null,"PlainText":"Objective: Transmission of antimicrobial resistant bacteria between people and household pets, such as dogs and cats, is an emerging global public health problem. This scoping review synthesizes existing evidence of human-pet bacteria transmission to understand the magnitude and breadth of this issue.

Methods: The search included specific and generic terms for bacteria, resistance, transmission, pets, and humans. Searches were conducted through PubMed, Scopus, Web of Science, CABI Global Health, Networked Digital Library of Theses and Dissertations, Google Scholar. All studies published in English and Mandarin that isolated bacteria from pets (cats and dogs) and humans who had contact with the pets, and reported phenotypic or genotypic antimicrobial sensitivity tests, were included in this review. In cases of bacterial species that are commonly associated with pets, such as Staphylococcus pseudintermedius and Pasteurella multocida, we also included studies that only isolated bacteria from humans.

Results: The search captured 9,355 unique studies. A total of 1,098 papers were screened in the full-text review, and 462 studies, published between 1973 and 2021, were identified as eligible according to our inclusion criteria. The primary reason for exclusion was lack of sensitivity testing. The most common study location was the United States (n=130, 28.14%), followed by Japan (n=24, 5.19%), and Canada (n=21, 4.55%). Most of the included studies were case reports (n=277, 59.96%) or cross-sectional/prevalence studies (n=112, 24.24%). The most common bacteria were P. multocida (n=156), Staphylococcus aureus (n=84), and S. pseudintermedius (n=52).

Conclusion: Transmission can occur in both directions: pets to humans (e.g., S. pseudintermedius, P. multocida) and humans to pets (e.g., S. aureus). The majority of studies provide a low level of evidence (e.g., case reports), suggesting that more rigorous longitudinal, cohort, or case-control studies are needed to fully understand the risk of human-pet bacterial transmission.

Keywords: antimicrobial resistance, One Health, pets, scoping review
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Title":null,"FirstName":"Mu","LastName":"Jin","Position":null,"Affiliations":"3","IsPresenting":true,"SortOrder":1,"DisplayName":"Jin M"},{"PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Title":"Dr. ","FirstName":"Marwan","LastName":"Osman","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Osman M"},{"PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Title":null,"FirstName":"Brianna A.","LastName":"Green","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Green B"},{"PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Title":null,"FirstName":"Yufan","LastName":"Yang","Position":"[email protected]","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Yang Y"},{"PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Title":null,"FirstName":"Aditi","LastName":"Ahuja","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Ahuja A"},{"PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Title":null,"FirstName":"Zhengyu","LastName":"Lu","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Lu Z"},{"PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Title":"Dr.","FirstName":"Casey","LastName":"Cazer","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":7,"DisplayName":"Cazer C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Number":1,"Affiliation":"Department of Public and Ecosystem Health, Cornell University College of Veterinary Medicine","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Department of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca NY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Number":2,"Affiliation":"Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca NY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8cb6dbf5-d718-4832-b3cd-83f7a6c11772","Number":3,"Affiliation":"Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health","City":"Baltimore","State":"MD","Country":"USA","AffiliationDisplay":"Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA"}],"AuthorsHtml":"Jin M3, Osman M1, Green B1, Yang Y, Ahuja A1, Lu Z1, Cazer C1,2","AffiliationsHtml":"
1Department of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca NY, USA
2Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca NY, USA
3Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
"}],"DisplayName":"Mu Jin","TimeDisplay":null},{"ContactId":"72fbffc7-64f6-4b7c-9af9-0c85c43398bd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Julie","LastName":"Johnsen","Position":"Senior Researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7436f0cec9fb4548b3ff31f52342c248","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/julie-føske-johnsen-3343952","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/julie-føske-johnsen-3343952","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/julie-føske-johnsen-3343952","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/julie-føske-johnsen-3343952","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Calf mortality, calf treatments and mastitis treatments in Norwegian dairy herds practicing cow-calf contact versus herds practicing artificial calf rearing. \r\n\r\n","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"dd69f228-2c5b-4531-b328-0906c0af3cd2","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"7af16158-0d3c-44ad-bed0-2dc5694d7617","Html":null,"PlainText":"Objective
The objective was to compare calf mortality, calf treatments, and treatment of mastitis at the herd level in dairy herds with different calf rearing methods: cow-calf contact (CCC) or artificial calf rearing (control).
Materials and method
Each CCC herd was matched with two control herds based on county, barn type, milking system, and herd size.
Calf (<6 months) mortality, calf treatments, mastitis treatments, bulk tank scc and herd animal days at risk in 2020 were retrieved from the Norwegian Dairy Herd Recording System. Univariable negative binomial regression models were built for each outcome: counted events of calf mortality, calf and mastitis treatments. Number of calf/cow risk days respectively was included as the exposure. Calf rearing method was the explanatory variable. Similarly, a univariable regression model was built for the log of scc.
Results
The final study sample consisted of 36 CCC and 66 control herds. The distribution of calf mortality rates between CCC and control herds are shown in Fig 1. Preliminary estimates from the model on calf mortality indicates IRR for CCC herds of 1.09 (95% CI 0.773-1.5439). As for calf treatments CCC herd IRR of 1.05 (0.248-4.591) indicate calf health comparability between CCC and control herds. CCC herds were associated with decreased risk for mastitis treatments: IRR 0.612 (95% CI 0.388-0.964). Bulk tank scc were comparable: 0.062, 95% CI 0.237-0.362.
Conclusion
Preliminary analyses indicate an association between calf rearing method and treatment for mastitis, but no differences in calf mortality, calf treatment events and scc were detected.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"7af16158-0d3c-44ad-bed0-2dc5694d7617","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/39b32f823d5041e5a22d933111d34894","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"7af16158-0d3c-44ad-bed0-2dc5694d7617","Title":"Dr.","FirstName":"Julie Føske","LastName":"Johnsen","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Johnsen J"},{"PresentationId":"7af16158-0d3c-44ad-bed0-2dc5694d7617","Title":"Dr.","FirstName":"Randi Therese ","LastName":"Garmo","Position":"Researcher","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Garmo R"},{"PresentationId":"7af16158-0d3c-44ad-bed0-2dc5694d7617","Title":"Dr. ","FirstName":"Ingrid ","LastName":"Holmøy","Position":"Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Holmøy I"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7af16158-0d3c-44ad-bed0-2dc5694d7617","Number":1,"Affiliation":"Section of Terrestrial Animal Health and Welfare, Norwegian Veterinary Institute","City":null,"State":"Ås","Country":"Norway","AffiliationDisplay":"Section of Terrestrial Animal Health and Welfare, Norwegian Veterinary Institute, Ås, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7af16158-0d3c-44ad-bed0-2dc5694d7617","Number":2,"Affiliation":"Department of Research and Development, Farm Advisory Services, TINE SA","City":null,"State":"Ås","Country":"Norway","AffiliationDisplay":"Department of Research and Development, Farm Advisory Services, TINE SA, Ås, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7af16158-0d3c-44ad-bed0-2dc5694d7617","Number":3,"Affiliation":"Department of Production Animal Clinical Sciences, Faculty of Biosciences, Norwegian University of Life Sciences","City":null,"State":"Ås","Country":"Norway","AffiliationDisplay":"Department of Production Animal Clinical Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway"}],"AuthorsHtml":"Johnsen J1, Garmo R2, Holmøy I3","AffiliationsHtml":"
1Section of Terrestrial Animal Health and Welfare, Norwegian Veterinary Institute, Ås, Norway
2Department of Research and Development, Farm Advisory Services, TINE SA, Ås, Norway
3Department of Production Animal Clinical Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway
"}],"DisplayName":"Julie Johnsen","TimeDisplay":null},{"ContactId":"3ed620e9-9515-4f97-ae92-92ccedd7022d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Paisley","LastName":"Johnson","Position":"Graduate Student","Organization":"Western College of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c80480b877a447b88747020b497363ad","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Estimating sensitivity and specificity of serum ELISA and fecal PCR for detecting Mycobacterium avium subspecies paratuberculosis in Canadian cow-calf herds using Bayesian latent class models\r\n","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a72e676e-c7d7-4b76-8c8c-1c734d9b93aa","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.C - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"3ae9d4d5-685e-48c5-9e79-4040932da482","Html":null,"PlainText":"Key words: Johne's disease, beef cattle, prevalence, sensitivity, specificity.

Objectives: To describe the prevalence of Johne’s disease (JD) within Canadian beef herds and to compare the performance of serum ELISA, pooled fecal PCR and individual fecal PCR on samples collected from beef herds using Bayesian latent class models (BLCMs).

Materials and methods: The study population consisted of 159 Canadian cow-calf herds. Blood and fecal samples were collected from 20 cows per herd in the fall of 2019. All 3171 blood and fecal samples were analyzed using ELISA and PCR (pools of 5 samples). A subset of 913 fecal samples from positive and negative herds were further tested using individual PCR. Descriptive statistics were used to describe disease prevalence and BLCMs were used to estimate diagnostic test sensitivity and specificity and true prevalence.

Results: The prevalence of JD was higher in eastern compared to western Canada at animal and herd levels based on ELISA and PCR results. BLCM analysis yielded a sensitivity and specificity of 96% and 98% respectively for individual PCR at the animal level followed by pooled PCR (Se=54%, Sp=100%) and ELISA (Se=35%, Sp=99%). ELISA had a higher sensitivity (Se=79%, Sp=90%) compared to pooled PCR (Se=43%, Sp=99%) for identifying herds with at least one positive sample. Estimates for ELISA and PCR performance were similar in a model comparing pooled PCR and at least two positive ELISA samples to identify positive herds.

Conclusion: The prevalence of JD in Canadian cow-calf herds remains low. However, results suggest a potential increasing trend. ELISA was found to be effective for JD screening at the herd level while PCR was determined to be more accurate for identifying individual positive cases. Therefore, initial testing with ELISA followed by individual or pooled PCR may be a strategic testing option for identifying cases within positive beef herds.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3ae9d4d5-685e-48c5-9e79-4040932da482","Title":"Ms","FirstName":"Paisley","LastName":"Johnson","Position":"Graduate student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Johnson P"},{"PresentationId":"3ae9d4d5-685e-48c5-9e79-4040932da482","Title":"Dr","FirstName":"Lianne ","LastName":"McLeod","Position":"Project manager","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"McLeod L"},{"PresentationId":"3ae9d4d5-685e-48c5-9e79-4040932da482","Title":"Dr","FirstName":"John","LastName":"Campbell","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Campbell J"},{"PresentationId":"3ae9d4d5-685e-48c5-9e79-4040932da482","Title":"Ms","FirstName":"Kathy ","LastName":"Larson","Position":"Research associate","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Larson K"},{"PresentationId":"3ae9d4d5-685e-48c5-9e79-4040932da482","Title":"Dr","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Waldner C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ae9d4d5-685e-48c5-9e79-4040932da482","Number":1,"Affiliation":"Large Animal Clinical Sciences, Western College of Veterinary Medicine","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon SK, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ae9d4d5-685e-48c5-9e79-4040932da482","Number":2,"Affiliation":"Agricultural and Resource Economics, College of Agriculture and Bioresources","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Agricultural and Resource Economics, College of Agriculture and Bioresources, Saskatoon SK, Canada"}],"AuthorsHtml":"Johnson P1, McLeod L1, Campbell J1, Larson K2, Waldner C1","AffiliationsHtml":"
1Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon SK, Canada
2Agricultural and Resource Economics, College of Agriculture and Bioresources, Saskatoon SK, Canada
"}],"DisplayName":"Paisley Johnson","TimeDisplay":null},{"ContactId":"04520e55-eb1d-4056-8a85-fc112142f9be","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Yvette","LastName":"Johnson-Walker","Position":"Lecturer","Organization":"University of Illinois","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/179b2c35da0841c9a69f48b4bae941f1","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Emergency Veterinary Executive Network (EVENT): Response capacity building for outbreaks in livestock and poultry","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c3da4b58-e0d3-444a-9da4-234629371ecf","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.A - Capacity building in national veterinary service","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"312f3f79-d7ba-4ee4-8527-92d01cb42e9e","Html":null,"PlainText":"Objectives:
The National Animal Disease Preparedness and Response Program (NADPRP) was developed to enhance efforts to keep high-consequence animal diseases from entering and spreading in the US. A NADPRP cooperative agreement with the University of Illinois created the Executive Veterinary Emergency Network (EVENT) to build stronger prevention plans and improve US Foreign Animal Disease (FAD) outbreak preparedness and response capabilities.

Methods:
Midwest (Illinois, Iowa, Indiana, Ohio, Michigan, Wisconsin, Minnesota, and North and South Dakota) Regional participants included State Animal Health Officials, USDA Area Veterinarians-In-Charge, other regional emergency response personnel and national agricultural industry stakeholders. A virtual program was developed using Zoom© and the CGScholar© learning management system. EVENT was delivered from June - October 2021. EVENT contained five modules (Communications during FAD response; Depopulation and Euthanasia; Carcass Management and Vaccination; Surveillance and Diagnosis; and Permitted Movement, Business Continuity, Trade, and FAD Recovery). Catalytic speakers opened each two, half-day module of presentations followed by small group (8-12 people) breakout rooms.

Results:
Ninety-two stakeholders engaged in EVENT. Catalytic speakers with extensive expertise in US FAD response delivered engaging module kickoffs. Participants problem solved and shared experiences. Participants reported that EVENT improved their knowledge on NADPRP topics.

The virtual delivery method increased participant access to the modules eliminating travel-associated expenditures. The time commitment was limited to direct actual work on NADPRP topics. This allowed more animal health officials and related stakeholders to attend and contribute. Networking between participants occurred mainly in breakout rooms. Icebreaker activities encouraged participants to get to know each other.

Conclusions:
Virtual environments improved many aspects of FAD preparedness and response. FAD experiences shared by participants was valuable. FAD gaps were identified in each module. Participants were encouraged to use knowledge gained, emergency responses shared, and gaps identified to improve on their own FAD preparedness and response plans. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"312f3f79-d7ba-4ee4-8527-92d01cb42e9e","Title":"Dr.","FirstName":"Gay","LastName":"Miller","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Miller G"},{"PresentationId":"312f3f79-d7ba-4ee4-8527-92d01cb42e9e","Title":"Dr.","FirstName":"Yvette","LastName":"Johnson-Walker","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Johnson-Walker Y"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"312f3f79-d7ba-4ee4-8527-92d01cb42e9e","Number":1,"Affiliation":"University of Illinois at Urbana-Champaign College of Veterinary Medicine","City":"Urbana","State":"IL","Country":"USA","AffiliationDisplay":"University of Illinois at Urbana-Champaign College of Veterinary Medicine, Urbana IL, USA"}],"AuthorsHtml":"Miller G1, Johnson-Walker Y1","AffiliationsHtml":"
1University of Illinois at Urbana-Champaign College of Veterinary Medicine, Urbana IL, USA
"},{"Title":"An online foreign animal disease response course as a tool for teaching applied epidemiology to veterinary students","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0be0600a-9081-4c2d-8750-4bb4b693b5e7","Html":null,"PlainText":"Objectives
The National Animal Disease Preparedness and Response Program (NADPRP) enhances efforts to keep high-consequence animal diseases from entering and spreading in the US. A NADPRP cooperative agreement with the University of Illinois (UI) created an online course for veterinary and graduate students.
This course provided students with core epidemiologic components in response to a foreign animal disease (FAD) incursion. Course objectives were to:
1) apply principles of infectious disease epidemiology, prevention and control to three diseases: Foot and Mouth Disease, African Swine Fever, and Highly Pathogenic Avian Influenza;
2) understand the social, economic, public health, and animal welfare implications of FAD outbreaks and response policies;
3) introduce students to the National Incident Management System and the Incident Command System that form the basis of emergency response in the US;
4) introduce and engage students with FAD preparedness and response work.
Methods
This course was an 8-week, 2 credit hour course, offered in an asynchronous online format, using the CGScholar© learning management system. It was complementary to the subsequent epidemiology core course during the second year and the USDA Initial Accreditation Training for veterinarians during the fourth year. Student assessment was accomplished through online quizzes, discussion boards, and interactive online exercises.
Results
The course was developed and approved in fall 2020 through summer 2021. The course was delivered in fall semester of 2021. Seventeen UI students completed the online course and received NIMS 700 and ICS 100 certification. Student feedback received rated the course quality and content high. The course will contribute to the University application for AVMA Veterinarian Disaster Responder Certificate.
Conclusion
Veterinary students may struggle with the clinical relevance of epidemiology. An applied epidemiology course using FAD response reinforces the epidemiology core providing an innovative approach fostering student engagement with epidemiology and FAD response.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0be0600a-9081-4c2d-8750-4bb4b693b5e7","Title":"Dr.","FirstName":"Yvette","LastName":"Johnson-Walker","Position":"Lecturer","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Johnson-Walker Y"},{"PresentationId":"0be0600a-9081-4c2d-8750-4bb4b693b5e7","Title":"Dr.","FirstName":"Gay","LastName":"Miller","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Miller G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0be0600a-9081-4c2d-8750-4bb4b693b5e7","Number":1,"Affiliation":"University of Illinois at Urbana-Champaign College of Veterinary Medicine","City":"Urbana","State":"IL","Country":"USA","AffiliationDisplay":"University of Illinois at Urbana-Champaign College of Veterinary Medicine, Urbana IL, USA"}],"AuthorsHtml":"Johnson-Walker Y1, Miller G1","AffiliationsHtml":"
1University of Illinois at Urbana-Champaign College of Veterinary Medicine, Urbana IL, USA
"}],"DisplayName":"Yvette Johnson-Walker","TimeDisplay":null},{"ContactId":"804b6edb-f855-4597-9cff-b260041f5a07","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Bryony","LastName":"Jones","Position":"Senior Epidemiologist","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Managing fasciolosis and triclabendazole resistance in hill sheep through a participatory process","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a16a66a7-b71c-46e1-924e-61f777a167f6","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Html":null,"PlainText":"Background: Fasciolosis (liver fluke infection) is an important disease of hill sheep in Great Britain. Disease management is complicated by the emergence of resistance to the important flukicide, triclabendazole.
Objectives: This project aimed to develop a participatory approach for hill sheep farmers to combine their knowledge and expertise with that of veterinarians and specialists, to explore, implement and evaluate solutions for fasciolosis control.
Methods: The project was led by the Farmer Scientist Network (Yorkshire Agricultural Society) in collaboration with The Farmer Network, with expertise from the Animal and Plant Health Agency, University of Liverpool, and Royal Veterinary College. Two groups were formed of farmers interested in managing fasciolosis in Cumbria and Yorkshire Dales. Facilitated by The Farmer Network, the farmers met regularly during the three-year project, in-person and via Zoom, to discuss their experiences of fasciolosis impact and its management. Specialists and the farmers’ veterinarians were invited to share the latest knowledge on managing liver fluke. The farmers recorded their flukicide use on a mobile phone App, and were offered free diagnostic testing for liver fluke and triclabendazole efficacy.
Results: The farmers improved their understanding of the fluke life cycle and control through grazing management and appropriate use of flukicides. App data showed a reduction in flukicide use during the project due to more strategic dosing with the correct type of flukicide. The farmers used diagnostic test results to make better decisions about timing of fluke treatments, saving the cost of unnecessary dosing and avoiding overuse of flukicides.
Conclusion: Farmer-led groups were effective for complex problem solving and promoting sustainable fasciolosis management. This approach could be adapted to address other disease problems. The process strengthened relationships between farmers and their vets by bringing them together to share knowledge and experience to develop feasible solutions.
Key words: fasciolosis, participatory, anthelmintic resistance","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Title":"Dr.","FirstName":"Bryony","LastName":"Jones","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jones B"},{"PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Title":"Ms","FirstName":"Kate","LastName":"Gascoyne","Position":"Coordinator","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Gascoyne K"},{"PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Title":"Ms","FirstName":"Carol","LastName":"Moffat","Position":"Coordinator","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Moffat C"},{"PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Title":"Ms","FirstName":"Holly","LastName":"Jones","Position":"Coordinator","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Jones H"},{"PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Title":"Dr","FirstName":"Dai","LastName":"Grove-White","Position":"Honorary Senior Lecturer","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Grove-White D"},{"PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Title":"Dr","FirstName":"Amanda","LastName":"Carson","Position":"Sheep Expert Group Lead","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Carson A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Number":1,"Affiliation":"APHA","City":"Addlestone","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"APHA, Addlestone Surrey, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Number":2,"Affiliation":"The Farmer Network","City":"Penrith","State":"Cumbria","Country":"United Kingdom","AffiliationDisplay":"The Farmer Network, Penrith Cumbria, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Number":3,"Affiliation":"Yorkshire Agricultural Society","City":"Harrogate","State":"North Yorkshire","Country":"United Kingdom","AffiliationDisplay":"Yorkshire Agricultural Society, Harrogate North Yorkshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3046ac02-a767-44a7-aa8d-b231664eff35","Number":4,"Affiliation":"University of Liverpool","City":"Liverpool","State":"Cheshire","Country":"United Kingdom","AffiliationDisplay":"University of Liverpool, Liverpool Cheshire, United Kingdom"}],"AuthorsHtml":"Jones B1, Gascoyne K2, Moffat C2, Jones H3, Grove-White D4, Carson A1","AffiliationsHtml":"
1APHA, Addlestone Surrey, United Kingdom
2The Farmer Network, Penrith Cumbria, United Kingdom
3Yorkshire Agricultural Society, Harrogate North Yorkshire, United Kingdom
4University of Liverpool, Liverpool Cheshire, United Kingdom
"}],"DisplayName":"Bryony Jones","TimeDisplay":null},{"ContactId":"bbcf3ced-72fa-44b0-acb5-17de9ede23b0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Hannah","LastName":"Jones","Position":"Epidemiological Scientist","Organization":"Animal And Plant Health Agency","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ccbd85bfe225462fa64909aa497c9690","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Effective biosecurity measures for the control of Salmonella in European pig farms.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8d9aa148-de5e-442d-b0ef-0198f843f996","Html":null,"PlainText":"Objective: To assess the use and effectiveness of biosecurity measures for the control of Salmonella on European commercial pig farms.

Methods: This study forms part of the BIOPIGEE project “Biosecurity practices for pig farming across Europe”. Each country recruited commercial-sized breeder, farrow-to-finish and specialist finisher farms, excluding small-holdings, nucleus/ multiplier herds, and Specific Pathogen Free herds.
Each farm completed a questionnaire on current biosecurity practices. To categorise Salmonella risk, twenty pooled faecal samples were collected from the floor of pig housing, each sample consisting of ten pinches of faeces. Salmonella isolation was carried out in accordance with ISO 6579-1:2017. Two countries used historical surveillance data to provide data on the occurrence of Salmonella in the pig herds.
Farms were designated as high or low risk using a determined cut-off of 20% sample prevalence. Multivariable regression analysis was used to determine significant associations to identify biosecurity practices effective for controlling Salmonella.

Results: A total of 250 farms from nine countries (18-38 per country) were included for Salmonella analysis; 120 (48.0%) farrow-to-finish, 47 (18.8%) breeding, and 83 (33.2%) fattening farms. Five farms were outdoor enterprises. 41 (16.4%) farms were identified as high risk for Salmonella. The most commonly applied biosecurity practices were the presence of a pest control program (94.7%), carcase storage to protect against wildlife (91.6%), the use of disposable gloves to manipulate carcasses (82.5%), and external and internal persons using farm-specific footwear (82.3% and 84.4%, respectively). Multivariable regression analysis was completed to identify which practices were associated with having Salmonella high risk.

Conclusion: The descriptive and risk factors results have highlighted potential improvements to on-farm biosecurity and these will be presented and discussed in full at the conference.

Funded by European Union's Horizon 2020 Research and Innovation programme grant agreement No 773830: OHEJP

Keywords: swine, Salmonella, biosecurity, one health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8d9aa148-de5e-442d-b0ef-0198f843f996","Title":"Miss","FirstName":"Hannah","LastName":"Jones","Position":"Epidemiological Scientist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jones H"},{"PresentationId":"8d9aa148-de5e-442d-b0ef-0198f843f996","Title":"Dr","FirstName":"Richard","LastName":"Smith","Position":"Lead Analytical Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Smith R"},{"PresentationId":"8d9aa148-de5e-442d-b0ef-0198f843f996","Title":"Dr","FirstName":"Elke","LastName":"Burow","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Burow E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8d9aa148-de5e-442d-b0ef-0198f843f996","Number":1,"Affiliation":"Animal And Plant Health Agency","City":"New Haw, Addlestone","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"Animal And Plant Health Agency, New Haw, Addlestone Surrey, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8d9aa148-de5e-442d-b0ef-0198f843f996","Number":2,"Affiliation":"Federal Institute for Risk Assessment (BfR)","City":"Berlin","State":null,"Country":"Germany","AffiliationDisplay":"Federal Institute for Risk Assessment (BfR), Berlin, Germany"}],"AuthorsHtml":"Jones H1, Smith R1, Burow E2","AffiliationsHtml":"
1Animal And Plant Health Agency, New Haw, Addlestone Surrey, United Kingdom
2Federal Institute for Risk Assessment (BfR), Berlin, Germany
"},{"Title":"A genomic epidemiological investigation of the association between antimicrobial resistance and antimicrobial usage in UK livestock","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"1410ca0d-b8f8-4891-ba3d-4007cd4e8b2d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.B - AMU","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9f874b2b-50d2-4f96-a111-c15cf6c89aa0","Html":null,"PlainText":"Objective: Use genomic methodologies to explore antimicrobial resistance (AMR) in Enterobacterales from UK cattle, pig and sheep farms.

Materials and methods: Five cattle, five sheep and four pig farms were visited three times over a 12-month period. All antimicrobial usage (AMU) within the three months preceding each visit was recorded. Ten pooled samples were collected per visit, each consisting of ten pinches of floor faeces. The pooled samples were combined, diluted up to 10−5 in phosphate buffer solution and plated on to CHROMagar ECC; 14 Enterobacterales colonies were selected from each plate. Isolates were sequenced using Illumina HiSeq 4000 (short-read). Presence of acquired AMR genes for ten antimicrobial classes was determined from Illumina fastq reads using the APHA SeqFinder pipeline and Abricate. Mixed-effects logistic regression was used to investigate associations and temporal relationships between the presence of AMR genes and AMU.

Results: Pig isolates harboured a higher proportion of AMR genes to almost all (9/10) antimicrobial classes studied, and the greatest proportion of multi-drug resistant isolates, in comparison to cattle and sheep isolates. Pig and cattle farms recorded greater AMU than sheep. AMU in pigs was significantly associated with the presence of corresponding AMR genes for six antimicrobial classes. In sheep, use of aminoglycosides or non-extended-spectrum cephalosporins was associated with the presence of AMR genes to these respective classes; no significant associations were detected in cattle between AMU/AMR. Temporal trends in the type and quantity of antimicrobials used over the three visits were detected on five farms (three pig, two cattle) but AMR gene occurrence suggested no clear association between AMU/ AMR over the period studied.

Conclusion: Specific factors related to livestock host and co-selection, in addition to AMU, may play an important role in AMR and these factors will be discussed in full at the conference.

Keywords: AMR, Livestock
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9f874b2b-50d2-4f96-a111-c15cf6c89aa0","Title":"Miss","FirstName":"Hannah","LastName":"Jones","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jones H"},{"PresentationId":"9f874b2b-50d2-4f96-a111-c15cf6c89aa0","Title":"Dr","FirstName":"R.P.","LastName":"Smith","Position":"Lead Analytical Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Smith R"},{"PresentationId":"9f874b2b-50d2-4f96-a111-c15cf6c89aa0","Title":"Dr","FirstName":"M.","LastName":"Abu'Oun","Position":"Senior Scientific Officer","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Abu'Oun M"},{"PresentationId":"9f874b2b-50d2-4f96-a111-c15cf6c89aa0","Title":"Dr","FirstName":"M.F.","LastName":"Anjum","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Anjum M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9f874b2b-50d2-4f96-a111-c15cf6c89aa0","Number":1,"Affiliation":"Animal And Plant Health Agency","City":"New Haw, Addlestone,","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"Animal And Plant Health Agency, New Haw, Addlestone, Surrey, United Kingdom"}],"AuthorsHtml":"Jones H1, Smith R1, Abu'Oun M1, Anjum M1","AffiliationsHtml":"
1Animal And Plant Health Agency, New Haw, Addlestone, Surrey, United Kingdom
"}],"DisplayName":"Hannah Jones","TimeDisplay":null},{"ContactId":"7a8d8ac2-bcee-4bd4-9237-8e8c7dcfdddd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"William","LastName":"Jumper","Position":null,"Organization":"Mississippi State University College of Veterinary Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Survey of the cattle health and production record-keeping methods and opinions of U.S. cow-calf producers","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c9aa60ab-6f8a-4ce7-b257-16d267e201ab","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"059f19fa-0413-4b32-b267-c67a190adb64","Html":null,"PlainText":"The objective of this study was to describe characteristics of U.S. cow-calf producers who use cattle health and production records (CHPR). We anonymously surveyed 14,294 cow-calf producers across the U.S. Multivariable logistic regression by manual forward selection was used to test demographic factors for association with record-keeping practices. A total of 3,741 (26%) responses received, with 3,641 (97%) respondents actively involved in cow-calf production. Of these, 87% maintained some form of CHPR. Handwritten records were kept by 62%, and electronic CHPR were kept by 37%. Ninety-two percent of respondents actively involved in cow-calf production had access to a computer for record-keeping purposes, 88% said internet access was available at their operation’s headquarters, and 85% said they had a smartphone. A cellphone-signal was available where cattle are worked for 67% of respondents, and 55% were interested in using a smartphone to record CHPR. Of respondents who kept CHPR, 56% said understanding currently available CHPR software was a challenge. Factors associated with keeping some form of CHPR were seedstock production (OR=5.0, 95%C.I.=3.6,7.2; compared to no seedstock involvement), age ≤64 years (OR=1.7, 95%C.I.=1.4,2.1; compared to age ≥65 years), female (OR=1.7, 95%C.I.=1.2,2.5; compared to male), cow-calf operation is primary income source (OR=1.5, 95%C.I.=1.2,1.9; compared to other primary income source), and education (Bachelor’s degree or less: OR=1.1, 95%C.I.=0.8,1.4; post-graduate/professional degree: OR=1.8, 95%C.I.=1.2,2.5; compared to high-school diploma or less). Operation type, producer age and sex, level of education, and income source are associated with U.S. cow-calf producer use of CHPR.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"059f19fa-0413-4b32-b267-c67a190adb64","Title":"Dr.","FirstName":"William","LastName":"Jumper","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jumper W"},{"PresentationId":"059f19fa-0413-4b32-b267-c67a190adb64","Title":"Dr.","FirstName":"Robert","LastName":"Wills","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Wills R"},{"PresentationId":"059f19fa-0413-4b32-b267-c67a190adb64","Title":"Dr. ","FirstName":"Carla","LastName":"Huston","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Huston C"},{"PresentationId":"059f19fa-0413-4b32-b267-c67a190adb64","Title":"Dr.","FirstName":"David","LastName":"Smith","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Smith D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"059f19fa-0413-4b32-b267-c67a190adb64","Number":1,"Affiliation":"Mississippi State University College Of Veterinary Medicine","City":"Mississippi State ","State":"MS","Country":"USA","AffiliationDisplay":"Mississippi State University College Of Veterinary Medicine, Mississippi State MS, USA"}],"AuthorsHtml":"Jumper W1, Wills R, Huston C, Smith D","AffiliationsHtml":"
1Mississippi State University College Of Veterinary Medicine, Mississippi State MS, USA
"},{"Title":"Case-control study to identify management practices associated with morbidity or mortality from bovine anaplasmosis in Mississippi USA cow-calf herds","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"3a1c614d-eb98-4459-b731-731b7d17028c","Html":null,"PlainText":"Bovine anaplasmosis is an economically important disease in the US beef cow-calf industry. The objective of this study was to identify management practices associated with illness or death from bovine anaplasmosis (BA) in cow-calf herds in the state of Mississippi. Mississippi veterinarians were solicited for case and control herds. Case herds had clinical BA diagnosed within the past year. Controls were any herd under the care of the same veterinary practice with no clinical BA diagnosed in the past year. Interviewers blinded to herd status conducted telephone surveys of herd owners. Management factors were tested for association with herd status using a generalized linear mixed logistic regression model with veterinary practice included as a random variable. Herd owners of 47 cow-calf herds, 22 cases and 25 controls, from 6 veterinary practices across Mississippi were interviewed, representing 22 different counties across Mississippi. The average case herd size was 131 breeding females, while the average control herd size was 135. Six of 22 case herds and 3 of 25 control herds used a conditionally-licensed BA vaccine. Twenty of 22 case herds and 13 of 25 control herds fed chlortetracycline (CTC) medicated mineral or feed. Feeding CTC was associated with case herd status (OR=9.2, 95%C.I.=1.7,50.7). Feeding CTC was common. The association between case herds and feeding CTC might be explained by herds that experienced BA previously being more likely to feed CTC, or herds that were feeding CTC being more likely to experience clinical BA due to chemosterilization increasing susceptibility to BA.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3a1c614d-eb98-4459-b731-731b7d17028c","Title":"Mr.","FirstName":"William","LastName":"Jumper","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Jumper W"},{"PresentationId":"3a1c614d-eb98-4459-b731-731b7d17028c","Title":"Dr.","FirstName":"Carla L.","LastName":"Huston","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Huston C"},{"PresentationId":"3a1c614d-eb98-4459-b731-731b7d17028c","Title":"Dr.","FirstName":"David","LastName":"Smith","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Smith D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3a1c614d-eb98-4459-b731-731b7d17028c","Number":1,"Affiliation":"Department of Pathobiology and Population Medicine, Mississippi State University College of Veterinary Medicine","City":"Mississippi State ","State":"MS","Country":"USA","AffiliationDisplay":"Department of Pathobiology and Population Medicine, Mississippi State University College of Veterinary Medicine, Mississippi State MS, USA"}],"AuthorsHtml":"Jumper W1, Huston C1, Smith D1","AffiliationsHtml":"
1Department of Pathobiology and Population Medicine, Mississippi State University College of Veterinary Medicine, Mississippi State MS, USA
"}],"DisplayName":"William Jumper","TimeDisplay":null},{"ContactId":"ebbbe0f0-d7a9-4caa-9050-f7e645bded47","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology & Precision Livestock Informatics","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Use of novel precision technologies, machine learning for prediction of health, welfare and production in livestock : Opportunities and Challenges","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ab0e80be-b563-450f-bc1a-585e9ad2e2c3","Html":null,"PlainText":"Recent advances in bio-telemetry technology have made possible to generate lot of data through sensors which could be used to monitor welfare and classify behavioural activities in many different wild and farm animals . Change in behaviour , physiology could be a good early indicator of disease and such information could be used to predict disease pattern and has value for animal welfare. However, there is great inter and intra-individual variation among animals that needed to be accounted for when developing algorithms. Also, this information in itself is useful for future prediction as it can be used to extract many features of animal resilience. The aim of this talk will be to discuss such opportunities and challenges through presenting case studies from our research in developing algorithms for lameness prediction in sheep and cattle using sensors and use of thermal imaging to predict calf health. We collected longitudinal behavior data on sheep (n=30) and cattle (n= approx 2000) via accelerometer based sensors, various features were extracted and machine learning esp deep learning algorithms were built to predict lameness/lesions. Our results indicate high performance in predicting lameness above 85% accuracy, sensitivity and specificity and F score (Kaler et al., 2021 and Jarachi et al., 2021). We used behaviour information to extract resilience based features as well to quantify within and between individual variability using multivariate models. For calves, we developed a machine vision algorithm to detect temperature of calf via eyes using over 1000 images. Our results indicated the challenges of drift to account for in the extracted features which can impact results. There are significant opportunities for early disease detection using some of the novel technologies, they can not only help in early detection of disease event but also identify individuals that are at higher or lower risk. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"ab0e80be-b563-450f-bc1a-585e9ad2e2c3","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/bfd13f090b25479da64687b92f4a2773","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"ab0e80be-b563-450f-bc1a-585e9ad2e2c3","Title":"Prof.","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology & Precision Livestock Informatics","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kaler J"},{"PresentationId":"ab0e80be-b563-450f-bc1a-585e9ad2e2c3","Title":"Mr.","FirstName":"Jorge Alberto","LastName":"Vazquez Diosdado","Position":"Assistant Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Vazquez Diosdado J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab0e80be-b563-450f-bc1a-585e9ad2e2c3","Number":1,"Affiliation":"School of Vet Medicine and Science University Of Nottingham","City":"Sutton Bonington","State":"Leicestershire","Country":"United Kingdom","AffiliationDisplay":"School of Vet Medicine and Science University Of Nottingham, Sutton Bonington Leicestershire, United Kingdom"}],"AuthorsHtml":"Kaler J1, Vazquez Diosdado J","AffiliationsHtml":"
1School of Vet Medicine and Science University Of Nottingham, Sutton Bonington Leicestershire, United Kingdom
"}],"DisplayName":"Jasmeet Kaler","TimeDisplay":null},{"ContactId":"de57806b-4813-4b0f-9d86-1fef62890ede","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Edna Massay","LastName":"Kallon","Position":"WOAH Technical Lead - Global Burden of Animal Diseases","Organization":"World Organisation for Animal Health (WOAH)","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/add2514b85984826a77dfbf500246eb2","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Validating, institutionalising and driving uptake of GBADs","Bio":"","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Html":null,"PlainText":"The Global Burden of Animal Diseases (GBADs) established critical success factors within its monitoring and evaluation arrangements that include validation of methods, demonstrating their utility, promoting broad uptake and implementation by partners, and eventual global acceptance. These factors act in synergy since greater uptake of GBADs will expand data sources, ensuring more animal population and production systems are specifically covered, allowing further testing and refinement of methods, and increasing the accuracy of outputs in a virtuous cycle.

Validation is defined as broad acceptance of GBADs methods in the scientific, policy and international development community.

Institutionalisation is defined as: the incorporation of GBADs methodology into a new Chapter or Articles of the World Organisation for Animal Health (WOAH) Terrestrial and Aquatic Codes; embedding the GBADs methodology into WOAH programmes and global initiatives; building the internal capacity of WOAH Members and Partners (including international organisations, development banks, donors, and private sector organisations) and other entities to use the GBADs methodology; and incorporating outputs into the decision-making processes for investments in animal health.

This paper summarises how WOAH and the University of Liverpool plan to lead validation, institutionalisation and uptake of GBADs, addressing activities undertaken during Phase II of the programme (2021-2022), and those planned for the following phase (Phase III, 2023-2027).

Publication of methods and models in the scientific literature is a key element of validation. As well as external peer review managed through the editorial processes of scientific journals, the GBADs programme is designing and implementing expert review mechanisms prior to submission of publications.

WOAH’s commitment to GBADs is clearly stated in the organisation’s strategy. As an international standard setting body, WOAH has developed processes, capability and expert networks that will be used to incorporate GBADs methods and approaches into standards and guidelines. In parallel, WOAH will ensure its programmes contribute to and use data and outputs from GBADs. WOAH’s capacity development programmes, in particular the PVS Pathway and the Training Platform, will develop capacity in Members, Partners (international organisations, development partners, and private sector associations), and the organisation’s network (WOAH Collaborating Centres, Veterinary Education Establishments) to use GBADs methods. WOAHs publications and conferences will promote GBADs and its outputs.

The GBADs programme is developing a stakeholder community that includes partners supporting development of methods (technical and financial support), those providing data through data alliances, and organisations that are intended users of GBADs products. Strategy and plans will guide prioritised and targeted engagement with all these groups during the next phase of the programme.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Title":"Dr.","FirstName":"Matthew","LastName":"Stone","Position":"Principal Consultant","Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Stone M"},{"PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Title":"Ms.","FirstName":"Edna Massay","LastName":"Kallon","Position":"WOAH Technical Lead - Global Burden of Animal Diseases","Affiliations":"1,2","IsPresenting":true,"SortOrder":2,"DisplayName":"Kallon E"},{"PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Title":"Mr.","FirstName":"Mike","LastName":"Cooper","Position":"","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Cooper M"},{"PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Title":"","FirstName":"T.","LastName":"Shorten","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":4,"DisplayName":"Shorten T"},{"PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Title":null,"FirstName":"Y.M.","LastName":"Soko","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":5,"DisplayName":"Soko Y"},{"PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Title":"Mr.","FirstName":"Benjamin","LastName":"Huntington","Position":"Programme Manager","Affiliations":"1,4,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Huntington B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Number":1,"Affiliation":"Global Burden of Animal Diseases programme","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases programme"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Number":2,"Affiliation":"World Organisation for Animal Health","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"World Organisation for Animal Health, Paris, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Number":3,"Affiliation":"StanStar Consulting, Priory Farm","City":"Redgrave","State":"Norfolk","Country":"United Kingdom","AffiliationDisplay":"StanStar Consulting, Priory Farm, Redgrave Norfolk, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Number":4,"Affiliation":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e24be892-7061-4c79-b839-ceaf67f02c2f","Number":5,"Affiliation":"Pengwern Animal Health Ltd","City":"Merseyside","State":null,"Country":"United Kingdom","AffiliationDisplay":"Pengwern Animal Health Ltd, Merseyside, United Kingdom"}],"AuthorsHtml":"Stone M1,2, Kallon E1,2, Cooper M1,2, Shorten T1,3, Soko Y1,2, Huntington B1,4,5","AffiliationsHtml":"
1Global Burden of Animal Diseases programme
2World Organisation for Animal Health, Paris, France
3StanStar Consulting, Priory Farm, Redgrave Norfolk, United Kingdom
4Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
5Pengwern Animal Health Ltd, Merseyside, United Kingdom
"}],"DisplayName":"Edna Massay Kallon","TimeDisplay":null},{"ContactId":"806a20a4-48e6-4460-bd61-1e77db8bcf11","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kaushi","LastName":"Kanankege","Position":"Researcher","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4f5f3b4ae9a047ce9c3850b78129e5d7","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Adapting an atmospheric dispersion model to assess the risk of windborne transmission of PRRSv between swine farms","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"517aa74a-9a35-4504-8a70-e516fdde5892","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"eac8f426-472c-4663-aed2-933ca31e2d86","Html":null,"PlainText":"Among the routes of between farm transmission of porcine reproductive and respiratory syndrome virus (PRRSv), assessing the windborne local area transmission of aerosolized particles containing PRRSv in a near real-time manner, and allotting the level of risk has been challenging to the swine industry. In this interdisciplinary study, an atmospheric dispersion model (ADM) was adapted for the first time to model windborne dispersion of PRRSv between farms. ADMs are commonly used to predict concentration and dispersion of air pollutants emitted from sources such as power plants.
Input parameters for ADMs for aerosolized PRRSv were identified through a literature review coupled with expert opinion. The parameter values capture epidemiological features of PRRSv, and survival of the aerosolized virus in relation to key meteorological features. Specifically, particle diameter, density, release height, release quantity, the timespan the virus stays viable and infectious, wind direction, speed, turbulence. A sensitivity analysis was conducted to identify influential parameters. Farms experiencing ongoing PRRSv outbreaks were assigned as sources. Wind data from the North American Mesoscale Forecast System (NAMS) was used to model dispersion. The risk was estimated based on the sum of particles deposited over 14-days, and the distance to the closest source farm.
The sensitivity analysis determined that the scenario with the combination of 36h model run time, with 10,000 particles emitted, at 4 m-AGL emission height produced measurable range of deposition values throughout the terrain. In this scenario, the risk of windborne PRRSv dispersion was highest at farms within 10 km from the source, however, high concentrations of aerosols reached up to 50 km and beyond.
This approach to modeling windborne dispersion of PRRSv and risk estimation using ADMs may inform optimum time intervals for air sampling, planning preventive measures, and aid ruling out the windborne dispersion in outbreak investigations.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"eac8f426-472c-4663-aed2-933ca31e2d86","Title":"Dr.","FirstName":"Kaushi","LastName":"Kanankege","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kanankege K"},{"PresentationId":"eac8f426-472c-4663-aed2-933ca31e2d86","Title":"Dr","FirstName":"Kerryne","LastName":"Graham","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Graham K"},{"PresentationId":"eac8f426-472c-4663-aed2-933ca31e2d86","Title":"Dr","FirstName":"Peter","LastName":"Durr","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Durr P"},{"PresentationId":"eac8f426-472c-4663-aed2-933ca31e2d86","Title":"Dr","FirstName":"Kimberly ","LastName":"VanderWaal","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"VanderWaal K"},{"PresentationId":"eac8f426-472c-4663-aed2-933ca31e2d86","Title":"Dr","FirstName":"Casar","LastName":"Corzo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Corzo C"},{"PresentationId":"eac8f426-472c-4663-aed2-933ca31e2d86","Title":"Prof","FirstName":"Andres","LastName":"Perez","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Perez A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eac8f426-472c-4663-aed2-933ca31e2d86","Number":1,"Affiliation":"College of Veterinary Medicine, University Of Minnesota","City":"St Paul","State":"MN","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine, University Of Minnesota, St Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eac8f426-472c-4663-aed2-933ca31e2d86","Number":2,"Affiliation":"Commonwealth Scientific and Industrial Research Organisation (CSIRO)","City":"East Geelong","State":"VIC","Country":"Australia","AffiliationDisplay":"Commonwealth Scientific and Industrial Research Organisation (CSIRO), East Geelong VIC, Australia"}],"AuthorsHtml":"Kanankege K1, Graham K2, Durr P2, VanderWaal K1, Corzo C1, Perez A1","AffiliationsHtml":"
1College of Veterinary Medicine, University Of Minnesota, St Paul MN, USA
2Commonwealth Scientific and Industrial Research Organisation (CSIRO), East Geelong VIC, Australia
"},{"Title":"ProgRESSVet: a capacity building program for national veterinary services on OIE-advanced and –day 2 competencies","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"db9defa3-5ee9-4485-895a-15783756260b","Html":null,"PlainText":" ProgRESSVet is an online educational initiative that works to increase the capacity of national veterinary services around the globe. The program is coordinated by the University of Minnesota Center for Animal Health and Food Safety (CAHFS), a World Organization for Animal Health (OIE) collaborating center for capacity building and a Food and Agriculture Organization (FAO) reference center for veterinary public health, and implemented in collaboration with partner countries. The ProgRESSVet curriculum is designed to promote participants’ development and implementation of evidence-based interventions applied in the daily practical aspects of veterinary service activities. Beyond individual and group training, ProgRESSVet is aligned with the OIE’s objectives of making accessible, promoting, and sustaining measures for regional development. The program is based upon the OIE’s advanced (now Day 2) competencies for veterinary service professionals and seeks to enhance the knowledge and skills necessary for effective and innovative practice, including use of analytical tools such as risk analysis, modeling, and economic analysis. ProgRESSVet was founded as a collaborative effort between CAHFS and Centro Buenos Aires para la Capacitación de los Servicios Veterinarios (CEBASEV, now Centro Regional para el Entrenamiento de los Servicios Veterinarios [CRESVet]) in 2016, training two cohorts of veterinary professionals from six Latin American countries with funding from the Inter American Development Bank. Since April 2019, CAHFS has implemented ProgRESSVet in East Africa (initially in Kenya and Uganda, with the goal of expanding into other countries in the region) with funding from the Bill & Melinda Gates Foundation. In addition to regionally-focused versions of ProgRESSVet, the program is currently offered with a national focus in Colombia and in Vietnam. Across iterations, ProgRESSVet has proven to be an effective and efficient strategy to enhance the capabilities of veterinary services for improvement of local, national, and regional practices for animal health and related economic aims.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"db9defa3-5ee9-4485-895a-15783756260b","Title":null,"FirstName":null,"LastName":"Team CAHFS","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Team CAHFS"},{"PresentationId":"db9defa3-5ee9-4485-895a-15783756260b","Title":"Dr.","FirstName":"Colin","LastName":"Yoder","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Yoder C"},{"PresentationId":"db9defa3-5ee9-4485-895a-15783756260b","Title":"Dr.","FirstName":"Kaushi","LastName":"Kanankege","Position":"Researcher","Affiliations":null,"IsPresenting":true,"SortOrder":2,"DisplayName":"Kanankege K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db9defa3-5ee9-4485-895a-15783756260b","Number":1,"Affiliation":"Center for Animal Health and Food Safety, University Of Minnesota","City":"St Paul","State":"MN","Country":"USA","AffiliationDisplay":"Center for Animal Health and Food Safety, University Of Minnesota, St Paul MN, USA"}],"AuthorsHtml":"Team CAHFS1, Yoder C1, Kanankege K","AffiliationsHtml":"
1Center for Animal Health and Food Safety, University Of Minnesota, St Paul MN, USA
"},{"Title":"Large hog farms unfairly blamed for poor health in neighboring communities in North Carolina ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e486d095-9272-4e8b-87d7-7daea2876a36","Html":null,"PlainText":"A study published in 2018 titled “Mortality and Health Outcomes in North Carolina (NC) Communities Located in Close Proximity to Hog Concentrated Animal Feeding Operations (CAFO)” concluded NC communities near hog CAFOs are associated with higher negative health outcomes. While authors stated that associations does not imply causation, out-of-context interpretation of their results by media caused detrimental effects on the swine industry. Funded by the National Pork Board, our objective was to repeat the same study using updated data and identify whether preconceived associations, data quality, and choice of analytical methods influenced previous study.
Previous study describes an ecological study using available data from 2007 – 2013. They analyzed exposure to CAFOs using logistic regression conducted at individual-level, while presumably correcting for six confounding factors. We used same data sources and analytical methods, with additional years of data (2007 – 2018). Mortality, hospital admissions, and emergency department visits related eight diseases were analyzed (anemia, kidney disease, infectious diseases, tuberculosis, low birth weight, HIV, and diabetes). The study population and their exposure was defined by categorizing NC zip codes into three by pig density; where, >1 hogs/km2 (G1), > 232hogs/km2 (G2), and no hogs (Control).
Our repeated analysis recognized several shortcomings of the 2018 study approach including: Ecological Fallacy, residual confounding, inconsistency of associations, and over estimation of the potential risk of exposure. Diseases that are not causally relatable to hog CAFOs--HIV and diabetes--were also prominent in the communities neighboring CAFOs (G1 and G2).
Results suggested that the associations in fact reflects systemic health disparities of the communities near hog CAFOs, which were not caused by the exposure. An ecological study would not confirm or deny exposure over time nor indicate causation. Hence, we emphasize the importance of responsible interpretation of ecological studies that concerns public health, agriculture, and economy
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e486d095-9272-4e8b-87d7-7daea2876a36","Title":"Dr.","FirstName":"Kaushi","LastName":"Kanankege","Position":"Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kanankege K"},{"PresentationId":"e486d095-9272-4e8b-87d7-7daea2876a36","Title":null,"FirstName":"Isaac","LastName":"Traynor","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Traynor I"},{"PresentationId":"e486d095-9272-4e8b-87d7-7daea2876a36","Title":"Prof","FirstName":"Andres","LastName":"Perez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Perez A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e486d095-9272-4e8b-87d7-7daea2876a36","Number":1,"Affiliation":"Center for Animal Health and Food Safety, University of Minnesota","City":"St Paul","State":"MN","Country":"USA","AffiliationDisplay":"Center for Animal Health and Food Safety, University of Minnesota, St Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e486d095-9272-4e8b-87d7-7daea2876a36","Number":2,"Affiliation":"College of Veterinary Medicine, Purdue University","City":"West Lafayette","State":"IN","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine, Purdue University, West Lafayette IN, USA"}],"AuthorsHtml":"Kanankege K1, Traynor I2, Perez A1","AffiliationsHtml":"
1Center for Animal Health and Food Safety, University of Minnesota, St Paul MN, USA
2College of Veterinary Medicine, Purdue University, West Lafayette IN, USA
"}],"DisplayName":"Kaushi Kanankege","TimeDisplay":null},{"ContactId":"7cbc408e-8d8e-49a4-b4aa-f3f293d0ef6e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Yaghouba","LastName":"Kane","Position":"Regional Epidemiology Training Coordinator, ECTAD WCA","Organization":"FAO","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Investigation of an outbreak of Highly Pathogenic Avian Influenza (HPAI) H5N1 in migratory birds in the Djoudj park, Senegal, 2022.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0791157-2a58-4eff-83c4-05e358114fbc","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.E - Epidemiology of avian influenza","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Html":null,"PlainText":"Objectives: In January 2022, high mortality was reported in white Pelicans (Pelecanus onocrotalus) in Djoudj National Bird Park, Senegal. The study aimed were to describe the investigation of an outbreak of Highly Pathogenic Avian Influenza (HPAI) H5N1 in an avifauna park in Senegal. The specific objective is to provide the results and lessons learned from this experience in Senegal.
Materials and methods: The epidemiological investigation consisted in collecting epidemiological, clinical and lesion data, and samples for laboratory analysis. Based on a questionnaire, data were collected like the number of wild birds, warning signs, poultry farms in the environment, possible contacts with sick or dead birds. To manage the outbreak, the materials and equipment required to safely investigate a zoonosis outbreak were used.
Results: The number of diseased birds was 883 and 758 dead, of which 99.5% were juveniles out of a significant number estimated at 11,563 white pelicans in the park and 1,750 individuals on the nesting box. The morbidity rate was 7.6% for the entire park (50.4% on the nest box), the mortality rate 6.5% for the whole park (43.3% on the nest box), and the fatality rate of 86%. The clinical signs and lesions noted are those classically observed during HPAI. The analysis of the samples in the laboratory confirmed the infection with HPAI type A, subtype H5N1. Following confirmation of the HPAI outbreak, the administrative authorities, in accordance with the health policy in force, took measures.
Conclusion: The investigation of an outbreak of HPAI in avifauna and made it possible to respond appropriately to control the spread of the disease in other poultry and in humans. This experience made it possible to apply a multi-sectoral approach for the management of this outbreak at the human-animal-environment interface.
Keywords: HPAI H5N1, Outbreak investigation, Wild birds, Mutisectoral management, Senegal.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Title":"Prof.","FirstName":"Yaghouba","LastName":"Kane","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kane Y"},{"PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Title":"Dr ","FirstName":"Ibrahima","LastName":"Ndao","Position":"Head of Office","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ndao I"},{"PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Title":"Dr","FirstName":"Evariste","LastName":"Bassene","Position":"Inspecteur","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Bassene E"},{"PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Title":"Dr","FirstName":"Youssou ","LastName":"Ndiaye","Position":"Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Ndiaye Y"},{"PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Title":"Dr","FirstName":"Coumba","LastName":"Faye","Position":"National Coordinator","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Faye C"},{"PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Title":"Dr","FirstName":"Ahmadou","LastName":"Niang","Position":"Country Team leader","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Niang A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Number":1,"Affiliation":"FAO","City":"Accra","State":"Great Accra","Country":"Ghana","AffiliationDisplay":"FAO, Accra Great Accra, Ghana"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Number":2,"Affiliation":"Ministry of Environment","City":"Saint-Louis","State":"saint-Louis","Country":"Senegal","AffiliationDisplay":"Ministry of Environment, Saint-Louis saint-Louis, Senegal"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Number":3,"Affiliation":"Ministry of Livestock","City":"Dakar","State":"Dakar","Country":"Senegal","AffiliationDisplay":"Ministry of Livestock, Dakar Dakar, Senegal"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"49d5850c-06ef-4f81-aa9e-938ffe2408bb","Number":4,"Affiliation":"Ministry of Agriculture","City":"Dakar","State":"Dakar","Country":"Senegal","AffiliationDisplay":"Ministry of Agriculture, Dakar Dakar, Senegal"}],"AuthorsHtml":"Kane Y1, Ndao I2, Bassene E3, Ndiaye Y1, Faye C1, Niang A1","AffiliationsHtml":"
1FAO, Accra Great Accra, Ghana
2Ministry of Environment, Saint-Louis saint-Louis, Senegal
3Ministry of Livestock, Dakar Dakar, Senegal
4Ministry of Agriculture, Dakar Dakar, Senegal
"}],"DisplayName":"Yaghouba Kane","TimeDisplay":null},{"ContactId":"8cf528d9-1ba8-45ab-8baf-7b59aad76dda","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Musafiri","LastName":"Karama","Position":"","Organization":"University of Pretoria","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Prevalence, serotypes and virulence characteristics of Shiga toxin-producing Escherichia coli isolates from goats grazing on communal rangelands in South Africa.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f9b56ff5-1796-4458-b0f6-0f2b41ce18fd","Html":null,"PlainText":"
Objectives. Shiga toxin-producing Escherichia coli (STEC) is a foodborne pathogen causing disease characterised by mild or severe bloody diarrhoea, hemorrhagic colitis and the haemolytic uremic. Despite its zoonotic importance, STEC remains poorly investigated in communal goat farming systems. The objective of the current study was to detect and characterise STEC isolates which were recovered from goats grazing on communal rangelands in South Africa.
Materials and Methods. A total of 289 goat faecal samples from four communal areas in South Africa were screened for STEC by culture and polymerase chain reaction. Furthermore, STEC isolates were characterised by serotype and virulence genes.

Results. Overall, PCR revealed that 80.28% (232/289) of goats carried STEC. STEC was detected in 75.3%, (116/154) of goats on rangeland A; 90.7%, (39/43) on B; 78.8%, (41/52) on C and 90%, (36/40) on D. Serotyping of 628 isolates revealed 63 distinct serotypes with 34 somatic (O) serogroups and 17 flagellar (H) types. Virulotyping revealed that 27.2% (171/628) isolates possessed stx1 only, 39.3% (247/628) had stx2 only; both stx1 and stx2 were detected in 33.5%, and hlyA in 78.0% (490/628). The eaeA gene was found in 22.1% (139/628) of isolates including five serotypes belonging to the major seven STEC serogroups, commonly associated with human disease: O157:H7, O157:H8, O103:H8, O26:H2 and O111:H8.

Conclusions. To our knowledge, this is the first documented report on the prevalence and characteristics of goat STEC isolates in South Africa. These findings are evidence that goats grazing on communal rangelands in South Africa are an important reservoir of virulent STEC including major serotypes, commonly incriminated in human STEC disease worldwide. However, further studies and enhanced STEC monitoring and surveillance programs are needed to better understand the epidemiology and public health risk posed by goat STEC in South Africa.

Keywords: Shiga toxin-producing Escherichia coli, goats, serotypes, virulence genes
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f9b56ff5-1796-4458-b0f6-0f2b41ce18fd","Title":"Prof.","FirstName":"Musafiri","LastName":"Karama","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Karama M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f9b56ff5-1796-4458-b0f6-0f2b41ce18fd","Number":1,"Affiliation":"University Of Pretoria","City":"Onderstepoort","State":"Gauteng ","Country":"South Africa","AffiliationDisplay":"University Of Pretoria, Onderstepoort Gauteng , South Africa"}],"AuthorsHtml":"Karama M1","AffiliationsHtml":"
1University Of Pretoria, Onderstepoort Gauteng , South Africa
"}],"DisplayName":"Musafiri Karama","TimeDisplay":null},{"ContactId":"59f32f43-1951-4df7-8286-93c4db3d6bd6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tendai Charles","LastName":"Katsande","Position":"Deputy Director","Organization":"Gauteng Veterinary Services","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Certification of Food Safety Management Systems in SMEs in Southern Africa: The Export Drive ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"ce8286a6-6258-413f-8bc9-430d7ce0277e","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.E - Food Safety","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"983edf84-fbef-4158-878e-579139e35f20","Html":null,"PlainText":"Introduction/Objectives
Implementation of certified Food Safety Management System (FSMS) is premised on sound understanding, knowledge and skills to implement Good Manufacturing/Agricultural Practices (GMPs/GAP) that are necessary to effectively implement subsequent certifiable food safety systems that are based HACCP Codex principles. Small to Medium Enterprises (SMEs) like small scale livestock farmers and abattoirs struggle to implement certified food safety practices that are required to enter export markets. The Global Food Safety Initiative (GFSI) developed the Global Markets Programme (GMaP) for SMEs since they struggle achieve certification due to their small size, lack of technical expertise and financial resources. After successful implementation of GFSI GMaP, SMEs are required to implement HACCP, ISO 22000 and FSSC 22000 to be able to enter the export (AfCFTA) market. The objectives of study were to evaluate the status of FSMS and assist implementation.

Materials and Methods
The study was conducted at SMEs facilities in Zambia between July 2020 and Dec 2021. 106 facilities were selected using a purposive sampling method. Gap assessments were conducted at SMEs facilities that included dairy processing, abattoirs, meat processing and livestock farms. Over 100 personnel were trained on FSMS that included GFSI GMaP, GMP, GAP, HACCP, ISO 22000, and FSSC 22000 v5.1 including Food Safety Culture. 36 facilities were coached to facilitate implementation of food safety.

Results
Out of 106 facilities selected for the study 40 (38%) responded to pre-Gap Assessment questionnaire on food safety. 62 SMEs were visited to determine the status of their FSMS. Challenges and opportunities faced by SMEs in implementing FSMS were identified. Results of food safety practices are presented.

Conclusion
Implementation of FSMS at SMEs is still at rudimentary level. Governments, Investors, NGOs and other stakeholders have a huge role to play to assist SMEs to attain certified FSMS in order to enter the export market.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"983edf84-fbef-4158-878e-579139e35f20","Title":"Dr.","FirstName":"Tendai Charles","LastName":"Katsande","Position":"Deputy Director","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Katsande T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"983edf84-fbef-4158-878e-579139e35f20","Number":1,"Affiliation":"Gauteng Veterinary Services","City":"Pretoria","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Gauteng Veterinary Services, Pretoria Gauteng, South Africa"}],"AuthorsHtml":"Katsande T1","AffiliationsHtml":"
1Gauteng Veterinary Services, Pretoria Gauteng, South Africa
"}],"DisplayName":"Tendai Charles Katsande","TimeDisplay":null},{"ContactId":"1647faa6-d34f-4920-a01a-a43bb443382b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mariana","LastName":"Kikuti","Position":"","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cfd91bfecffe4a98937e5bb8e11773f8","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Emergence of a new Lineage 1 sub-lineage C (L1C) porcine reproductive and respiratory syndrome virus (PRRSV2) variant","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"517aa74a-9a35-4504-8a70-e516fdde5892","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"0599b986-4bc5-4234-a2dc-8d9d26de5d6d","Html":null,"PlainText":"Objective
To describe the viruses associated with several farm-level porcine reproductive and respiratory syndrome (PRRS) outbreaks reported by swine producers to the Morrison Swine Health Monitoring Project (MSHMP).
Materials and methods
The ORF5 PRRSV2 sequences associated with these cases were compared to over 30,000 historical sequences (1998 – May 2021) from routine monitoring efforts in breeding, gilt developing units, growing and finishing herds amongst MSHMP participants (representative of 50% of the U.S. breeding herd). The emerging genetic cluster was defined by a nucleotide identity of ≥98% between samples and was classified into lineage/sub-lineage and RFLP patterns. Phylogenetic trees were constructed using NextStrain comparing outbreak sequences to 8,922 L1C sequences. A subset of cases was submitted for whole genome sequencing and compared to 365 PRRSV2 whole genome sequences from North America publicly available at GenBank.
Results
All 192 cases were classified as L1C. Most cases (172/175; 98.29%) were RFLP 1-4-4 type, while two were 1-4-3 and one was 1-7-4 RFLP types. 154 breeding and grow-finishing sites in the Midwestern U.S were affected. Transmission seemed to have occurred in two waves, with the first peak of weekly cases occurring between October-December 2020 and the second starting in April 2021. Majority of cases occurred in a 120 km radius. ORF5 and whole genome sequencing results suggests that this represents the emergence of a new variant within L1C. No specific risk factor was associated with the transmission of this variant compared to other co-circulating variants, but sites affected had overall higher median finishing mortality.
Conclusion
The occurrence of within farms PRRS outbreaks in several sites associated with such a highly similar virus at the ORF5 region is unprecedented and rises concerns for the next high transmission season of PRRS.
Keywords
disease outbreak, porcine reproductive and respiratory disease virus, epidemiology, swine diseases, epidemics

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0599b986-4bc5-4234-a2dc-8d9d26de5d6d","Title":"Dr.","FirstName":"Mariana","LastName":"Kikuti","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kikuti M"},{"PresentationId":"0599b986-4bc5-4234-a2dc-8d9d26de5d6d","Title":null,"FirstName":"Igor","LastName":"Paploski","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Paploski I"},{"PresentationId":"0599b986-4bc5-4234-a2dc-8d9d26de5d6d","Title":null,"FirstName":"Nakarin","LastName":"Pamornchainavakul","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Pamornchainavakul N"},{"PresentationId":"0599b986-4bc5-4234-a2dc-8d9d26de5d6d","Title":null,"FirstName":"Catalina","LastName":"Picasso-Risso","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Picasso-Risso C"},{"PresentationId":"0599b986-4bc5-4234-a2dc-8d9d26de5d6d","Title":null,"FirstName":"Albert","LastName":"Rovira","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Rovira A"},{"PresentationId":"0599b986-4bc5-4234-a2dc-8d9d26de5d6d","Title":null,"FirstName":"Kimberly","LastName":"VanderWaal","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"VanderWaal K"},{"PresentationId":"0599b986-4bc5-4234-a2dc-8d9d26de5d6d","Title":null,"FirstName":"Cesar","LastName":"Corzo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Corzo C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0599b986-4bc5-4234-a2dc-8d9d26de5d6d","Number":1,"Affiliation":"University Of Minnesota","City":"Saint Paul","State":"MN","Country":"USA","AffiliationDisplay":"University Of Minnesota, Saint Paul MN, USA"}],"AuthorsHtml":"Kikuti M1, Paploski I1, Pamornchainavakul N1, Picasso-Risso C1, Rovira A1, VanderWaal K1, Corzo C1","AffiliationsHtml":"
1University Of Minnesota, Saint Paul MN, USA
"},{"Title":"Porcine reproductive and respiratory syndrome virus 2 (PRRSV-2) genetic diversity and occurrence of wild type and vaccine-like strains in the United States swine industry","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Html":null,"PlainText":"Objective
Here, we describe porcine reproductive and respiratory syndrome virus genotype 2 (PRRSV-2) genetic diversity in the U.S. over the course of 10 years.
Materials and methods
A total of 26,831 ORF5 PRRSV-2 sequences obtained from 34 swine production systems routine monitoring and outbreak investigations between 2009-2019 were included in this analysis. Within group mean genetic distance (mean proportion of nucleotide differences) per year according to herd type was calculated. The percent nucleotide difference between each sequence and the ORF5 sequences from four commercially available PRRSV-2 vaccines (Ingelvac PRRS MLV, Ingelvac PRRS ATP, Fostera PRRS, and Prevacent PRRS) within the same lineage over time was used to classify sequences in wild-type or vaccine-like.
Results
The mean ORF5 genetic distance fluctuated from 0.09 to 0.13, being generally smaller in years in which there was a relative higher frequency of dominant lineage. Vaccine-like sequences comprised about one fourth of sequences obtained through routine monitoring of PRRS. We found that lineage 5 sequences were mostly Ingelvac PRRS MLV-like. Lineage 8 sequences up to 2011 were 62.9% Ingelvac PRRS ATP-like while the remaining were wild-type viruses. From 2012 onwards, 51.9% of lineage 8 sequences were Ingelvac PRRS ATP-like, 45.0% were Fostera PRRS-like, and only 3.2% were wild-type. For lineage 1 sequences, 0.1% and 1.7% of the sequences were Prevacent PRRS-like in 2009-2018 and 2019, respectively.
Conclusion
These results suggest that repeated introductions of vaccine-like viruses through use of modified live vaccines might decrease within-lineage viral diversity as vaccine-like strains become more prevalent. Overall, this compilation of private data from routine monitoring provides valuable information on PRRSV viral diversity.
Keywords
Porcine Reproductive and Respiratory Syndrome; Genetic Variation; Epidemiology; immunology; Vaccines, Virus-Like Particle","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Title":"Dr.","FirstName":"Mariana","LastName":"Kikuti","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kikuti M"},{"PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Title":"Dr.","FirstName":"Juan","LastName":"Sanhueza","Position":"Assistant Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Sanhueza J"},{"PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Title":null,"FirstName":"Carles","LastName":"Vilalta","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":3,"DisplayName":"Vilalta C"},{"PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Title":"Dr.","FirstName":"Igor","LastName":"Paploski","Position":"Post-doctoral researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Paploski I"},{"PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Title":"Mrs.","FirstName":"Kimberly","LastName":"Vanderwaal","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Vanderwaal K"},{"PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Title":"Dr.","FirstName":"Cesar","LastName":"Corzo","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Corzo C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Number":1,"Affiliation":"University Of Minnesota","City":"Saint Paul","State":"MN","Country":"USA","AffiliationDisplay":"University Of Minnesota, Saint Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Number":2,"Affiliation":"Universidad Católica de Temuco","City":"Temuco","State":"Araucanía","Country":"Chile","AffiliationDisplay":"Universidad Católica de Temuco, Temuco Araucanía, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5b25c70a-49e0-49f4-9072-e0fbc7a667a8","Number":3,"Affiliation":"Upnorth Analytics","City":"Barcelona","State":null,"Country":"Spain","AffiliationDisplay":"Upnorth Analytics, Barcelona, Spain"}],"AuthorsHtml":"Kikuti M1, Sanhueza J1,2, Vilalta C1,3, Paploski I1, Vanderwaal K1, Corzo C1","AffiliationsHtml":"
1University Of Minnesota, Saint Paul MN, USA
2Universidad Católica de Temuco, Temuco Araucanía, Chile
3Upnorth Analytics, Barcelona, Spain
"}],"DisplayName":"Mariana Kikuti","TimeDisplay":null},{"ContactId":"b70d8880-ac66-4948-a610-87a85e0ca4c3","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tipsarp","LastName":"Kittisiam","Position":"PhD Student","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A longitudinal mixed-methods analysis of self-efficacy, emotional intelligence, and resilience in veterinary students transitioning into the veterinary profession","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Html":null,"PlainText":"Mental distress is a reported concern among veterinarians and veterinary students alike. The first five years post-graduation (i.e. the “transition period”) can be a period of particular unease, and experiences during this time can affect veterinarians’ decisions to remain in the profession. Current knowledge regarding the challenges, perceived needs, and mental health of early-career veterinarians during the transition period is limited. Further, recent research in veterinarian mental health is pivoting towards positive psychology and the protective effects against stress. High levels of emotional intelligence (one’s proficiency in perceiving and regulating emotions), self-efficacy (one’s belief in one’s ability), and resilience (one’s ability to recover from adversity) have the potential enhance personal well-being and decrease known issues with career attrition.
This study uses a concurrent mixed-methods approach. We will conduct a longitudinal survey using validated scales to measure positive mental health factors, such as resilience, emotional intelligence, and self-efficacy amongst final-year veterinary students from Canadian veterinary colleges and re-administer the survey at 6, 12, and 24 months after graduation. Individual interviews and focus groups will also be conducted with early-career veterinarians during their transition period to collect data on participants’ experiences, mental health, and perceived well-being needs. With that knowledge as a basis, we will then use additional focus groups within a Participatory Action Research framework to explore and develop potential mental health intervention strategies.
This research aims to address the gaps in knowledge needed to assess early career veterinarians’ mental health during the transition period and formulate interventions to mitigate any adverse effects and promote well-being. This study will also contribute to our limited collective knowledge of positive mental health factors in veterinarians with the intention of developing interventions to reinforce them. By improving the well-being of veterinarians we hope to strengthen the veterinary profession overall.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Title":"Dr.","FirstName":"Tipsarp","LastName":"Kittisiam","Position":"PhD Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kittisiam T"},{"PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Title":"Ms.","FirstName":"Caroline","LastName":"Ritter","Position":"Assistant Professor and Canada Research Chair","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ritter C"},{"PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Title":"Ms.","FirstName":"Emily","LastName":"Morabito","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Morabito E"},{"PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Title":"Dr.","FirstName":"Adam","LastName":"Stacey","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Stacey A"},{"PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Title":"Dr.","FirstName":"Deep","LastName":"Khosa","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Khosa D"},{"PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Title":"Ms.","FirstName":"Andria","LastName":"Jones-Bitton","Position":"Professor & Director Of Well-being Programming","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Jones-Bitton A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Number":1,"Affiliation":"University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University Of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Number":2,"Affiliation":"University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cda0e5bf-6a4e-4ffe-aea2-a66db63c6953","Number":3,"Affiliation":"University of Saskatchewan","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"University of Saskatchewan, Saskatoon SK, Canada"}],"AuthorsHtml":"Kittisiam T1, Ritter C2, Morabito E2, Stacey A3, Khosa D1, Jones-Bitton A1","AffiliationsHtml":"
1University Of Guelph, Guelph ON, Canada
2University of Prince Edward Island, Charlottetown PE, Canada
3University of Saskatchewan, Saskatoon SK, Canada
"}],"DisplayName":"Tipsarp Kittisiam","TimeDisplay":null},{"ContactId":"8898e679-1af6-4693-97df-30b28bc5c972","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mac","LastName":"Kneipp","Position":"Phd Candidate","Organization":"The University of Sydney","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0c751bddaf8841578c88f1a1eb432696","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A randomised control trial to evaluate the effectiveness of a commercial vaccine for pinkeye in Australian beef cattle","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8d6829cb-095c-4f27-b3b4-1bc11dc02a01","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"ae0edd44-4230-4754-9a28-f0970e58d4d5","Html":null,"PlainText":"Objective

To examine the effectiveness of the only commercial pinkeye vaccine available in Australia for prevention of naturally occurring disease.

Materials and methods

Randomised control field trial was conducted in southwest Queensland on extensively run beef cattle herds that regularly experienced pinkeye. In each herd animals were allocated to vaccinated and control groups in different proportions. The subsequent incidence of clinical pinkeye between the two groups was compared for calves less than one year old. Univariable and multivariable binary logistic mixed-effect models were fitted to account for clustered data and potential residual confounding due to sex, weight, breed, coat colour and periocular pigmentation.

Results

Data were analysed from 649 cattle from five herds over two pinkeye seasons: three herds of 390 calves from 1st November 2019 to 20th January 2020, and two herds of 259 calves from 23rd September 2020 to 21st April 2021. Pinkeye was common with 24 % of all calves (156/649) contracting the disease during the trial. The incidence of pinkeye was not significantly different between vaccinated (101/423, 24 %) and control (55/226, 24 %) groups, both alone (p = 0.67, OR = 1.09, 95 % CI = 0.73 – 1.62) and after adjusting for sex and weight differences (p = 0.69, OR = 1.08, 95 % CI = 0.73 – 1.62).

Conclusion

This is the first field trial of effectiveness of this Moraxella bovis bacterin for the prevention of naturally occurring disease. The vaccine was not protective against naturally occurring pinkeye under field conditions.

Keywords

pinkeye1, infectious bovine keratoconjunctivitis2, vaccine3, Piliguard4, cattle5.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ae0edd44-4230-4754-9a28-f0970e58d4d5","Title":"Dr.","FirstName":"Mac","LastName":"Kneipp","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kneipp M"},{"PresentationId":"ae0edd44-4230-4754-9a28-f0970e58d4d5","Title":"Dr. ","FirstName":"Alexandra ","LastName":"Green","Position":"2","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Green A"},{"PresentationId":"ae0edd44-4230-4754-9a28-f0970e58d4d5","Title":"A/Prof ","FirstName":"Merran","LastName":"Govendir","Position":"3","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Govendir M"},{"PresentationId":"ae0edd44-4230-4754-9a28-f0970e58d4d5","Title":"Dr.","FirstName":"Michael","LastName":"Laurence","Position":"4","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Laurence M"},{"PresentationId":"ae0edd44-4230-4754-9a28-f0970e58d4d5","Title":"A/Prof ","FirstName":"Navneet","LastName":"Dhand","Position":"5","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Dhand N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ae0edd44-4230-4754-9a28-f0970e58d4d5","Number":1,"Affiliation":"Sydney School of Veterinary Science, The University Of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, The University Of Sydney, Camden NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ae0edd44-4230-4754-9a28-f0970e58d4d5","Number":2,"Affiliation":"Murdoch University, School of Veterinary Medicine","City":"Perth","State":"WA","Country":"Australia","AffiliationDisplay":"Murdoch University, School of Veterinary Medicine, Perth WA, Australia"}],"AuthorsHtml":"Kneipp M1, Green A1, Govendir M1, Laurence M2, Dhand N1","AffiliationsHtml":"
1Sydney School of Veterinary Science, The University Of Sydney, Camden NSW, Australia
2Murdoch University, School of Veterinary Medicine, Perth WA, Australia
"}],"DisplayName":"Mac Kneipp","TimeDisplay":null},{"ContactId":"190ba678-a501-46b8-b16f-dda930a6609c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tanja","LastName":"Knific","Position":"Researcher","Organization":"University of Ljubljana, Veterinary Faculty","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Modeling the transmission of paratuberculosis in a small dairy herd","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Html":null,"PlainText":"The aim of this study was to investigate the possible transmission of paratuberculosis in a small dairy herd typical of Slovenia. Paratuberculosis or Johne's disease is caused by Mycobacterium avium subsp. paratuberculosis (MAP). Based on studies from other countries, the large amount of imported animals and the increased herd size in Slovenia, we hypothesised that the prevalence within the herd is now higher than estimated a decade ago.
We developed a stochastic compartmental model of the spread of MAP within a herd consisting of 17 dairy cows and 15 young animals, including female calves and heifers. The model was developed using the Epidemiological Multi-Level Simulation Framework (EMULSION). We considered two paths of disease progression, infection of adult cows and infection of young animals through vertical and horizontal transmission, and transmission through cattle movements. Demographic data were based on real 2018 data from competent authorities, while data on MAP epidemiological traits were from the literature. Where appropriate or necessary, the data were supported by expert opinion.
Contrary to our expectations, the prevalence within the herd was not significantly higher than previously estimated, as the average prevalence was around 7% and ranged from 0% to 71%. On average, there were 4% subclinically and 0.5% clinically infected cows per herd. The results showed that the annual probability of spontaneous elimination and reinfection per herd was 22% and 18%, respectively, facilitated by dynamic cattle trade.
This compartmental model is the first developed to represent a small dairy herd. It showed that herd size has an impact on the dynamics of paratuberculosis and that therefore different models should be used to study the spread and control of this disease in herds of different sizes.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Title":"Dr.","FirstName":"Tanja","LastName":"Knific","Position":"Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Knific T"},{"PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Title":"Dr.","FirstName":"Andrej","LastName":"Kirbiš","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Kirbiš A"},{"PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Title":"Mr.","FirstName":"Jörn","LastName":"Gethmann","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Gethmann J"},{"PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Title":"Dr.","FirstName":"Jasna","LastName":"Prezelj","Position":null,"Affiliations":"3,4,5","IsPresenting":false,"SortOrder":4,"DisplayName":"Prezelj J"},{"PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Title":"Dr.","FirstName":"Branko","LastName":"Krt","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":5,"DisplayName":"Krt B"},{"PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Title":"Dr.","FirstName":"Matjaž","LastName":"Ocepek","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":6,"DisplayName":"Ocepek M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Number":1,"Affiliation":"Institute of Food Safety, Feed and Environment, Veterinary Faculty, University of Ljubljana","City":"Ljubljana","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Institute of Food Safety, Feed and Environment, Veterinary Faculty, University of Ljubljana, Ljubljana Slovenia, Slovenia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Number":2,"Affiliation":"Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology","City":"Greifswald","State":"Mecklenburg–West Pomerania","Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Greifswald Mecklenburg–West Pomerania, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Number":3,"Affiliation":"Department of Mathematics, Faculty of Mathematics and Physics, University of Ljubljana","City":"Ljubljana","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Department of Mathematics, Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana Slovenia, Slovenia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Number":4,"Affiliation":"Department of Mathematics, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska","City":"Koper","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Department of Mathematics, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper Slovenia, Slovenia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Number":5,"Affiliation":"Institute of Mathematics, Physics and Mechanics","City":"Ljubljana","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Institute of Mathematics, Physics and Mechanics, Ljubljana Slovenia, Slovenia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10456c34-4e38-41e6-8a2d-2caca5ea3f0f","Number":6,"Affiliation":"Institute of Microbiology and Parasitology, Veterinary Faculty, University of Ljubljana","City":"Ljubljana","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Institute of Microbiology and Parasitology, Veterinary Faculty, University of Ljubljana, Ljubljana Slovenia, Slovenia"}],"AuthorsHtml":"Knific T1, Kirbiš A1, Gethmann J2, Prezelj J3,4,5, Krt B6, Ocepek M6","AffiliationsHtml":"
1Institute of Food Safety, Feed and Environment, Veterinary Faculty, University of Ljubljana, Ljubljana Slovenia, Slovenia
2Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Greifswald Mecklenburg–West Pomerania, Germany
3Department of Mathematics, Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana Slovenia, Slovenia
4Department of Mathematics, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper Slovenia, Slovenia
5Institute of Mathematics, Physics and Mechanics, Ljubljana Slovenia, Slovenia
6Institute of Microbiology and Parasitology, Veterinary Faculty, University of Ljubljana, Ljubljana Slovenia, Slovenia
"},{"Title":"Quantitative risk assessment of human exposure to Mycobacterium avium subsp. paratuberculosis (MAP) in milk","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Html":null,"PlainText":"Although Mycobacterium avium subsp. paratuberculosis (MAP) is not yet recognised as a zoonosis, the growing number of scientific publications suggests a link with Crohn's disease and various other human diseases. Cattle are believed to be the main source of MAP for humans. To prevent a potential public health scare and safeguard farmers' livelihoods, the risk of exposure via milk should be better understood, especially as the dairy industry is likely to suffer the greatest financial losses.
The stochastic quantitative risk assessment model using Monte Carlo simulations was developed in the @RISK programme. We focused on raw, pasteurised, and UHT milk based on production and consumption trends in Slovenia and data availability on survival of MAP during milk processing. Data on herd size, milk production, silo size and milk consumption were obtained from the competent Slovenian authorities and refer to 2018. Prevalence within and between herds was based on our previous modeling studies. Data on MAP shedding, milk contamination and MAP reduction were taken from the literature and supported by expert opinion.
The results showed that the risk of exposure to MAP was high when raw milk was consumed. If the milk on MAP positive farm was pasteurized, the risk was significantly reduced, but not entirely. The risk of exposure via retail milk was most likely insignificant, as MAP is diluted in the milk silo. However, if the prevalence of MAP were higher in the cattle population, the risk of exposure would also increase. We estimated that given the assumptions and uncertainties, the overall risk of exposure to MAP via milk for Slovenian consumers was low.
This study provides a good starting point for possible risk reduction efforts. In addition to heat treatment of milk, efforts should also be made to reduce the prevalence of paratuberculosis in cattle herds.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Title":"Dr.","FirstName":"Tanja","LastName":"Knific","Position":"Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Knific T"},{"PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Title":"Dr.","FirstName":"Matjaž","LastName":"Ocepek","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ocepek M"},{"PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Title":"Dr.","FirstName":"Andrej","LastName":"Kirbiš","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Kirbiš A"},{"PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Title":"Dr.","FirstName":"Branko","LastName":"Krt","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Krt B"},{"PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Title":"Dr.","FirstName":"Jasna","LastName":"Prezelj","Position":null,"Affiliations":"3,4,5","IsPresenting":false,"SortOrder":5,"DisplayName":"Prezelj J"},{"PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Title":"Mr.","FirstName":"Jörn","LastName":"Gethmann","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":6,"DisplayName":"Gethmann J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Number":1,"Affiliation":"Institute of Food Safety, Feed and Environment, Veterinary Faculty, University of Ljubljana","City":"Ljubljana","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Institute of Food Safety, Feed and Environment, Veterinary Faculty, University of Ljubljana, Ljubljana Slovenia, Slovenia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Number":2,"Affiliation":"Institute of Microbiology and Parasitology, Veterinary Faculty, University of Ljubljana","City":"Ljubljana","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Institute of Microbiology and Parasitology, Veterinary Faculty, University of Ljubljana, Ljubljana Slovenia, Slovenia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Number":3,"Affiliation":"Department of Mathematics, Faculty of Mathematics and Physics, University of Ljubljana","City":"Ljubljana","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Department of Mathematics, Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana Slovenia, Slovenia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Number":4,"Affiliation":"Department of Mathematics, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska","City":"Koper","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Department of Mathematics, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper Slovenia, Slovenia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Number":5,"Affiliation":"Institute of Mathematics, Physics and Mechanics","City":"Ljubljana","State":"Slovenia","Country":"Slovenia","AffiliationDisplay":"Institute of Mathematics, Physics and Mechanics, Ljubljana Slovenia, Slovenia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c31b7280-9b7a-4c65-94cd-4ced362710cf","Number":6,"Affiliation":"Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemi-ology","City":"Greifswald","State":"Mecklenburg–West Pomerania","Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemi-ology, Greifswald Mecklenburg–West Pomerania, Germany"}],"AuthorsHtml":"Knific T1, Ocepek M2, Kirbiš A1, Krt B2, Prezelj J3,4,5, Gethmann J6","AffiliationsHtml":"
1Institute of Food Safety, Feed and Environment, Veterinary Faculty, University of Ljubljana, Ljubljana Slovenia, Slovenia
2Institute of Microbiology and Parasitology, Veterinary Faculty, University of Ljubljana, Ljubljana Slovenia, Slovenia
3Department of Mathematics, Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana Slovenia, Slovenia
4Department of Mathematics, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper Slovenia, Slovenia
5Institute of Mathematics, Physics and Mechanics, Ljubljana Slovenia, Slovenia
6Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemi-ology, Greifswald Mecklenburg–West Pomerania, Germany
"}],"DisplayName":"Tanja Knific","TimeDisplay":null},{"ContactId":"d06b767b-fbc2-4813-a633-dc99e995ca86","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Organization":"Ilri","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Theo specialised in veterinary epidemiology and public health working in Europe, Africa and Central Asia in government, international animal health and research. He now works as Principal Scientist for the International Livestock Research Institute (ILRI) working mostly in East Africa where he leads their work on Herd Health. He also leads research projects on food safety and One Health. His areas of interest are epidemiology, economics and policy for Transboundary Animal Diseases and zoonoses.

","Presentations":[{"Title":"Assessment of effectiveness of a foot and mouth disease vaccine in Ethiopia ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f002cad3-f498-4110-84d2-a3d16319c66f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.B - Disease Control and Eradication Programs","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"6a7c50ea-7a14-4828-9483-81f5863cdd26","Html":null,"PlainText":"This study was aimed at evaluating the field effectiveness of a trivalent foot and mouth disease (FMD) vaccine (containing serotypes O, A and SAT 2), produced and widely used in Ethiopia, in terms of preventing clinical infection and severe disease.

A randomized controlled trial design was employed in the study in which the attack rate of clinical FMD infection in vaccinated cattle was compared with the attack rate in unvaccinated controls in cattle population of 16 villages in Gondar Zuria district, Northwest Ethiopia. The vaccine was administered as a single dose course in the face of an impending FMD outbreak and the trial groups were monitored for clinical infection until the end of the outbreak.

The attack rate of clinical FMD in the vaccinated cattle (34%) was significantly lower than the attack rate in unvaccinated controls (49%) (p< 0.001). However, the effectiveness of the vaccine was only 31% (95%CI: 20 - 40%). The proportion of severely affected cattle in the vaccinated group (5.7%) was significantly lower than in the unvaccinated group (9.4%) (p< 0.001), resulting in 39% (95%CI: 18-55%) vaccine effectiveness against severe disease.

The observed level of vaccine effectiveness was lower than the internationally recommended 70% expected percentage of protection for a standard potency 3PD50/dose FMD vaccine. Moreover, the level of effectiveness was insufficient to provide herd immunity to control the disease at the population level. Nevertheless, given the significant difference in the incidence of clinical disease between vaccinated and unvaccinated cattle, it might still be cost-effective to use the current vaccine to reduce production losses. Factors that cause low effectiveness of the vaccine need to be identified and addressed for effective control of the disease at population level.
Keywords: Clinical trial, Effectiveness, Ethiopia, Foot and mouth disease, Vaccine
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6a7c50ea-7a14-4828-9483-81f5863cdd26","Title":"Dr.","FirstName":"Wudu Temesgen","LastName":"Jemberu","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Jemberu W"},{"PresentationId":"6a7c50ea-7a14-4828-9483-81f5863cdd26","Title":"Dr.","FirstName":"Wassie","LastName":"Molla","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Molla W"},{"PresentationId":"6a7c50ea-7a14-4828-9483-81f5863cdd26","Title":"Dr.","FirstName":"Tsegaw","LastName":"Fentie","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Fentie T"},{"PresentationId":"6a7c50ea-7a14-4828-9483-81f5863cdd26","Title":"Dr","FirstName":"Theodore","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"2","IsPresenting":true,"SortOrder":4,"DisplayName":"Knight-Jones T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6a7c50ea-7a14-4828-9483-81f5863cdd26","Number":1,"Affiliation":"University of Gondar ","City":"Gondar","State":"Amhara","Country":"Ethiopia","AffiliationDisplay":"University of Gondar , Gondar Amhara, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6a7c50ea-7a14-4828-9483-81f5863cdd26","Number":2,"Affiliation":"International Livestock Research Institute ","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute , Addis Ababa, Ethiopia"}],"AuthorsHtml":"Jemberu W1,2, Molla W1, Fentie T1, Knight-Jones T2","AffiliationsHtml":"
1University of Gondar , Gondar Amhara, Ethiopia
2International Livestock Research Institute , Addis Ababa, Ethiopia
"},{"Title":"Pull-Push: Market and consumer interventions to improve food safety in Ethiopia and Burkina Faso","Bio":"Theo specialised in veterinary epidemiology and public health working in Europe, Africa and Central Asia in government, international animal health and research. He now works as Principal Scientist for the International Livestock Research Institute (ILRI) working mostly in East Africa where he leads their work on Herd Health. He also leads research projects on food safety and One Health. His areas of interest are epidemiology, economics and policy for Transboundary Animal Diseases and zoonoses.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"53d14c51-98b9-4e1e-86cb-ea478421e8a6","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"13_Special Session Part 2: Randomized control trials and the reality of impact evaluations","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Html":null,"PlainText":"Objective: Working in informal food markets in Africa we test if consumer demand for safe food can be generated and utilised to drive improved standards of hygiene and safety up the value chain.
Materials and methods: Following food safety value chain assessments and KAP surveys, large consumer awareness campaigns were launched in Ouagadougou, Burkina Faso (chicken) and Harar, and Dire Dawa, Ethiopia (tomato). These multimedia campaigns are implemented by commercial advertising/communication agencies, and comprise TV and radio adverts, door-to-door household visits and social media, including using social influencers to promote food safety messages. The messages focus on purchasing quality, hygienic foods and following basic food safety rules.
Baseline consumer surveys were conducted to assess consumer consideration of food safety when making food purchases. This will be compared to endline surveys to be conducted in 2023.
This work is performed within the Pull-Push project.
Results: Hygiene standards in the target food value chains have major weaknesses. Before the campaign consumer consideration of food safety was variable in Ethiopia and Burkina Faso, with greater concern in high income groups. There was a disproportionate concern about chemical hazards in vegetables and to a lesser extent chicken. Results of the communications campaign’s impact on food choice will be available in 2023.
Conclusion: Although foodborne disease exerts a massive health and economic burden on developing countries, there is a lack of application of food safety standards. Furthermore, consumers continue to source food from outlets with poor hygiene. If a communications campaign can influence consumers so they purchase safer foods, forcing suppliers to improve standards, this will provide a way of improving food safety in the informal sector where most people in Sub-Saharan Africa source their food, and where efforts to improve food safety have so far had limited impact.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Knight-Jones T"},{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Dr.","FirstName":"Kebede","LastName":"Amenu","Position":"Researcher","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Amenu K"},{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Dr","FirstName":"Gemma","LastName":"Tacken","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Tacken G"},{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Mr.","FirstName":"Biruk","LastName":"Gemeda","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Gemeda B"},{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Dr","FirstName":"Guy","LastName":"Ilboudo","Position":"Research assistant","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Ilboudo G"},{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Dr","FirstName":"Donya","LastName":"Madjdian","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Madjdian D"},{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Dr","FirstName":"Sisay","LastName":"Girma","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Girma S"},{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Dr","FirstName":"Abdulmuen","LastName":"Mohammed Ibrahim","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Mohammed Ibrahim A"},{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Randolph D"},{"PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Title":"Mr.","FirstName":"Michel","LastName":"Dione","Position":"Senior Scientist","Affiliations":null,"IsPresenting":false,"SortOrder":10,"DisplayName":"Dione M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fbf85c49-1763-4871-89d2-acc09a724eb9","Number":1,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa, Ethiopia"}],"AuthorsHtml":"Knight-Jones T1, Amenu K, Tacken G, Gemeda B, Ilboudo G, Madjdian D, Girma S, Mohammed Ibrahim A, Randolph D, Dione M","AffiliationsHtml":"
1International Livestock Research Institute, Addis Ababa, Ethiopia
"}],"DisplayName":"Theo Knight-Jones","TimeDisplay":null},{"ContactId":"b1106504-9ad0-4456-ab5c-1eff3b7d78ce","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Harpreet","LastName":"Kochhar","Position":"President","Organization":"Public Health Agency of Canada","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3c33ded3c00a4bdfbe0541ee969385d7","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Harpreet S. Kochhar was appointed President of the Public Health Agency of Canada on October 12, 2021. Since re-joining the Health portfolio in 2020, when he was appointed to the role of Associate Deputy Minister of Health, Dr. Kochhar has become an integral player in Canada's COVID-19 response.
Dr. Kochhar was Associate Vice-President of Operations at the Canadian Food Inspection Agency (CFIA) from 2015 to 2017, and was Canada's Chief Veterinary Officer and Canada's Delegate to the World Organization for Animal Health. He was responsible for delivering food inspection services across the country, as well as managing plant health and animal health issues. During his tenure at the CFIA, Dr. Kochhar managed several high profile cases to ensure the safety of Canada's food supply, including the official response to Canada's largest beef recall (XL foods).
Dr. Kochhar started his career by practising veterinary medicine in south-western Ontario. He has a MSc in Theriogenology and a PhD in Reproductive Biotechnology from the University of Guelph where he also was an Assistant Professor at the Ontario Veterinary College.
Among other awards, in 2012, Dr. Kochhar was honoured with a Queen Elizabeth II Diamond Jubilee Medal for his professional and volunteer contributions, and in 2017, he was awarded the Canada 150 Medal for community services.
","Presentations":[{"Title":"Enhancing Successful Research Translation into Policy","Bio":"Dr. Harpreet S. Kochhar was appointed President of the Public Health Agency of Canada on October 12, 2021. Since re-joining the Health portfolio in 2020, when he was appointed to the role of Associate Deputy Minister of Health, Dr. Kochhar has become an integral player in Canada's COVID-19 response.\r\nDr. Kochhar was Associate Vice-President of Operations at the Canadian Food Inspection Agency (CFIA) from 2015 to 2017, and was Canada's Chief Veterinary Officer and Canada's Delegate to the World Organization for Animal Health. He was responsible for delivering food inspection services across the country, as well as managing plant health and animal health issues. During his tenure at the CFIA, Dr. Kochhar managed several high profile cases to ensure the safety of Canada's food supply, including the official response to Canada's largest beef recall (XL foods).\r\nDr. Kochhar started his career by practising veterinary medicine in south-western Ontario. He has a MSc in Theriogenology and a PhD in Reproductive Biotechnology from the University of Guelph where he also was an Assistant Professor at the Ontario Veterinary College.\r\nAmong other awards, in 2012, Dr. Kochhar was honoured with a Queen Elizabeth II Diamond Jubilee Medal for his professional and volunteer contributions, and in 2017, he was awarded the Canada 150 Medal for community services.\r\n","PresentationTypeName":"Plenary Lecture","Session":{"Id":"50733041-0014-4f42-bd93-1bc01e640e93","Date":"2022-08-08T00:00:00+00:00","StartTime":"08:30:00","EndTime":"09:30:00","Name":"Opening Ceremony and Keynote Address \"Enhancing Successful Research Translation into Policy\"","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"8:30 AM - 9:30 AM"},"Documents":[{"PresentationId":"6fb5a88e-0116-47af-90a4-13e4a15d2fad","Html":null,"PlainText":"This keynote address explores the topic of advancing the application of science and research into policy and decision-making and its various challenges.

The Government of Canada, through the Public Health Agency of Canada (PHAC), has exercised its leadership role in protecting and promoting the health of Canadians while navigating through the COVID-19 pandemic, as well as leveraging lessons learned to date. This includes how data and science have helped inform decision-making regarding public health measures; how insights from behavioural science have been leveraged; and how the One Health approach has been applied.

This presentation will examine the accelerated pace of science and evidence during the pandemic, the importance of public trust and credibility in a climate of mis- and dis-information, and how PHAC effectively communicated public health messaging to the Canadian population in a rapidly evolving evidence base and pandemic.

Looking to the future, addressing these key data, science, behaviour, and public health risk communication components is critical for policy-making in the continued work on COVID-19, as well as more recently on the monkeypox outbreak, and on future emerging and re-emerging public health challenges. Now, more than ever, there is a need for coordinated efforts to support the place of science in decision-making towards increasing the impact of public health interventions in this increasingly globalized and complex environment where viruses know no borders.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6fb5a88e-0116-47af-90a4-13e4a15d2fad","Title":"Dr.","FirstName":"Harpreet","LastName":"Kochhar","Position":"President","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Kochhar H"}],"Affiliations":[],"AuthorsHtml":"Kochhar H","AffiliationsHtml":""}],"DisplayName":"Harpreet Kochhar","TimeDisplay":null},{"ContactId":"73a79ae8-5134-443c-9099-bfc96af0ee69","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Svenja","LastName":"Koepper","Position":"Phd Student","Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The shell microbiome of American lobster Homarus americanus in Atlantic Canada ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"230e48f5-c7fd-47a9-8b8c-6569f407af89","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"da587858-deb0-4e6f-962d-ba238643c755","Html":null,"PlainText":"Objectives
Due to current knowledge gaps regarding the shell microbial community – proposedly a key factor in the fast-spreading epizootic shell disease (ESD) – of American lobster (H. americanus) in Atlantic Canada, this study aims to describe and analyze the shell microbiome of healthy and diseased lobsters sampled from several locations in New Brunswick, Nova Scotia and Prince Edward Island.

Materials and Methods
More than 300 lobster shell swab samples and associated data on biotic and abiotic factors have been collected from seven different lobster fishing areas. Long-read, next-generation 16S rDNA amplicon sequencing (PacBio) of cuticle samples followed by bioinformatic analyses will identify the shell associated bacteria. Diversity indices will assess the microbial composition and diversity while network analyses explore bacterial interactions within the microbiome. Furthermore, multivariate analyses will detect any patterns in microbial species’ abundances, composition or distribution based on biotic and abiotic factors.

Results
It is expected that spatial, temporal, and environmental variables as well as lobster characteristics such as sex, size, molt stage or disease state to some extent influence microbial profiles on lobster cuticles. Bacterial taxa that have been associated with ESD are likely present in lobsters from Atlantic Canada as they are ubiquitous in the marine environment but may play a role in ESD proliferation.

Conclusion
This study will help to assess and predict the risk of ESD outbreaks in Atlantic Canada and in turn will encourage the development of suitable fisheries management strategies in the future.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"da587858-deb0-4e6f-962d-ba238643c755","Title":"Ms.","FirstName":"Svenja","LastName":"Koepper","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Koepper S"},{"PresentationId":"da587858-deb0-4e6f-962d-ba238643c755","Title":"Mr.","FirstName":"Krishna","LastName":"Thakur","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Thakur K"},{"PresentationId":"da587858-deb0-4e6f-962d-ba238643c755","Title":"Mr.","FirstName":"Crawford","LastName":"Revie","Position":"Professor Of Epidemiology","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Revie C"},{"PresentationId":"da587858-deb0-4e6f-962d-ba238643c755","Title":"Dr.","FirstName":"K. Fraser","LastName":"Clark","Position":"Assistant Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Clark K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"da587858-deb0-4e6f-962d-ba238643c755","Number":1,"Affiliation":"Department of Health Management, University of Prince Edward Island","City":"Charlottetown","State":"Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Health Management, University of Prince Edward Island, Charlottetown Prince Edward Island, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"da587858-deb0-4e6f-962d-ba238643c755","Number":2,"Affiliation":"Department of Computer and Information Sciences, University of Strathclyde","City":"Glasgow","State":"Glasgow City","Country":"UK","AffiliationDisplay":"Department of Computer and Information Sciences, University of Strathclyde, Glasgow Glasgow City, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"da587858-deb0-4e6f-962d-ba238643c755","Number":3,"Affiliation":"Department of Animal Sciences and Aquaculture, Dalhousie University","City":"Truro","State":"Nova Scotia","Country":"Canada","AffiliationDisplay":"Department of Animal Sciences and Aquaculture, Dalhousie University, Truro Nova Scotia, Canada"}],"AuthorsHtml":"Koepper S1, Thakur K1, Revie C2, Clark K3","AffiliationsHtml":"
1Department of Health Management, University of Prince Edward Island, Charlottetown Prince Edward Island, Canada
2Department of Computer and Information Sciences, University of Strathclyde, Glasgow Glasgow City, UK
3Department of Animal Sciences and Aquaculture, Dalhousie University, Truro Nova Scotia, Canada
"}],"DisplayName":"Svenja Koepper","TimeDisplay":null},{"ContactId":"e51c72ff-6e92-452a-948e-b42243039996","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lisa","LastName":"Kohnle","Position":"Scientific Officer","Organization":"EFSA","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/aea8393dd5b64871b77d7a11a2b23c9c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A controlled field experiment to explain amplification of avian influenza viruses along poultry marketing chains in Bangladesh","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Html":null,"PlainText":"Although avian influenza viruses (AIVs) are highly prevalent in Bangladesh's live bird markets (LBMs), they are rarely detected in poultry farms. This study aimed to identify the stage of poultry marketing chains at which viral amplification occurs.
We implemented a controlled field experiment to assess whether reducing the risk of infection for chickens during transport and trade decreases their likelihood of shedding AIVs in LBMs. In Chattogram, Bangladesh, 64 batches of 10 chickens (340 backyard and 300 broiler chickens) were caged together in market stalls and followed over a period of 84 hours. For each batch, 5 chickens were purchased from farmers and subject to stringent biosecurity measures during storage and transport (intervention group), while another 5 chickens were purchased from traders and underwent conventional marketing chains (control group). We collected oropharyngeal swabs from chickens upon arrival at the LBM as well as 12, 36 and 84 hours later. Conditional logistic regression and discrete-time proportional hazard models were developed to analyse RT-qPCR results.
The effect of the intervention on the proportion of chickens shedding AIVs was only subtle upon arrival at the LBM but significant at the following time points. Backyard chickens subject to the intervention had lower odds of testing positive after 12 (OR=0.26[0.06-1.03, P=0.05) and 84 hours (OR=0.29[0.16-0.51], P<0.001). The similar was observed after 12 hours (OR=0.42[0.20-0.87], P=0.02) for backyard chickens, of which more than 99% were already shedding after 36 hours. Overall, transmission and infection events occured at a slower rate for backyard chickens (HR=0.09, P<0.001).
This study indicates that a substantial proportion of viral shedding in Bangladesh's LBMs results from infection of chickens during transport and trade. We demonstrate that interventions targeting the collection and dissemination of chickens along marketing chains are needed to reduce the prevalence of AIVs in LBMs.

Keywords: avian influenza, shedding, intervention","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Ms","FirstName":"Lisa","LastName":"Kohnle","Position":"Scientific Officer","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Kohnle L"},{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Mr","FirstName":"Tridip","LastName":"Das","Position":"Research Assistant","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Das T"},{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Mr","FirstName":"Md Helal","LastName":"Uddin","Position":"Research Assistant","Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Uddin M"},{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Mr","FirstName":"Sanjib Chandra","LastName":"Nath","Position":"Research Assistant","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Nath S"},{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Dr.","FirstName":"Md. Abu Shoieb","LastName":"Mohsin","Position":"Research Assistant","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Mohsin M"},{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Dr.","FirstName":"Rashed","LastName":"Mahmud","Position":"Research Manager","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Mahmud R"},{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Prof","FirstName":"Paritosh Kumar","LastName":"Biswas","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Biswas P"},{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Prof","FirstName":"Md Ahasanul","LastName":"Hoque","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":8,"DisplayName":"Hoque M"},{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Prof","FirstName":"Dirk","LastName":"Pfeiffer","Position":"Chair Professor","Affiliations":"1,5","IsPresenting":false,"SortOrder":9,"DisplayName":"Pfeiffer D"},{"PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":"5","IsPresenting":false,"SortOrder":10,"DisplayName":"Fournie G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Number":1,"Affiliation":"Department of Infectious Diseases and Public Health, City University of Hong Kong","City":"Kowloon","State":null,"Country":"Hong Kong SAR (China)","AffiliationDisplay":"Department of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon, Hong Kong SAR (China)"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Number":2,"Affiliation":"European Food Safety Authority (EFSA)","City":"Parma","State":null,"Country":"Italy","AffiliationDisplay":"European Food Safety Authority (EFSA), Parma, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Number":3,"Affiliation":"Department of Microbiology and Veterinary Public Health, Chattogram Veterinary and Animal Sciences University","City":"Chattogram","State":null,"Country":"Bangladesh","AffiliationDisplay":"Department of Microbiology and Veterinary Public Health, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Number":4,"Affiliation":"Department of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University","City":"Chattogram","State":null,"Country":"Bangladesh","AffiliationDisplay":"Department of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6b123fe3-41d2-4bac-9911-f123ff793e45","Number":5,"Affiliation":"Department of Pathology and Population Sciences, Royal Veterinary College, University of London","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Pathology and Population Sciences, Royal Veterinary College, University of London, London, United Kingdom"}],"AuthorsHtml":"Kohnle L1,2, Das T3, Uddin M4, Nath S4, Mohsin M4, Mahmud R4, Biswas P3, Hoque M4, Pfeiffer D1,5, Fournie G5","AffiliationsHtml":"
1Department of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon, Hong Kong SAR (China)
2European Food Safety Authority (EFSA), Parma, Italy
3Department of Microbiology and Veterinary Public Health, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh
4Department of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh
5Department of Pathology and Population Sciences, Royal Veterinary College, University of London, London, United Kingdom
"},{"Title":"Committed, co-dependent or cautious? Shared perceptions of biosecurity among Bangladesh's chicken producers","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f002cad3-f498-4110-84d2-a3d16319c66f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.B - Disease Control and Eradication Programs","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Html":null,"PlainText":"In Asia, intensive poultry production is increasing and at constant risk of infectious disease transmission. Major risk factors include varying levels of biosecurity implementation, which typically depend on each individual's perception. This study aimed to explore the range of perceptions of common farming practices shared among broiler chicken farmers in Bangladesh in 2019.
Combining qualitative and quantitative approaches, we used the Q-methodology to identify and characterise groups of farmers with similar perceptions of biosecurity and farm management. First, 40 opinion statements were generated based on 16 semi-structured interviews and a focus group discussion. Topics included advantages and disadvantages of farming practices, their feasibility and cost-effectiveness, and sources of information. Another 30 farmers were then invited to distribute these opinion statements on a sorting grid (ranging from 'not at all like me' to 'very much like me'), depending on how much they identified with each of them. Finally, principal component and factor analysis were applied to group farmers according to the sorts obtained.
Three factors, representing 54% of the total variance, were extracted and used to characterise 3 groups of farmers. The first group comprised 11 participants who appreciated the benefits of biosecurity and were happy to invest both time and money (the 'Committed'). The 8 participants contributing to the second group were less confident and relied mostly on external sources of advice. They did not consider themselves better decision-makers and were easily influenced by other stakeholders, especially through patron-client relationships with feed dealers (the 'Co-dependent'). The last group included 6 participants who were very concerned about infectious diseases and refused any interference by feed dealers (the 'Cautious').
This study identified 3 groups of farmers with differing perceptions, for which tailored interventions, addressing group-specific needs, can be designed to improve biosecurity and farm management in Bangladesh's poultry production.

Keywords: biosecurity, perceptions","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Title":"Ms","FirstName":"Lisa","LastName":"Kohnle","Position":"Scientific Officer","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Kohnle L"},{"PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Title":"Mr","FirstName":"Md Helal","LastName":"Uddin","Position":"Research Assistant","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Uddin M"},{"PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Title":"Ms","FirstName":"Syeda Munira","LastName":"Dilshad","Position":"Research Assistant","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Dilshad S"},{"PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Title":"Dr.","FirstName":"Rashed","LastName":"Mahmud","Position":"Research Manager","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Mahmud R"},{"PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Title":"Prof","FirstName":"Md Ahasanul","LastName":"Hoque","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Hoque M"},{"PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Title":"Prof","FirstName":"Dirk","LastName":"Pfeiffer","Position":"Chair Professor","Affiliations":"1,4","IsPresenting":false,"SortOrder":6,"DisplayName":"Pfeiffer D"},{"PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Title":"Mr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":"4","IsPresenting":false,"SortOrder":7,"DisplayName":"Fournie G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Number":1,"Affiliation":"Department of Infectious Diseases and Public Health, City University of Hong Kong","City":"Kowloon","State":null,"Country":"Hong Kong SAR (China)","AffiliationDisplay":"Department of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon, Hong Kong SAR (China)"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Number":2,"Affiliation":"European Food Safety Authority (EFSA)","City":"Parma","State":null,"Country":"Italy","AffiliationDisplay":"European Food Safety Authority (EFSA), Parma, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Number":3,"Affiliation":"Department of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University","City":"Chattogram","State":null,"Country":"Bangladesh","AffiliationDisplay":"Department of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"44f59b07-3d67-4ee5-b032-65f7045b2796","Number":4,"Affiliation":"Department of Pathology and Population Sciences, Royal Veterinary College, University of London","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Pathology and Population Sciences, Royal Veterinary College, University of London, London, United Kingdom"}],"AuthorsHtml":"Kohnle L1,2, Uddin M3, Dilshad S3, Mahmud R3, Hoque M3, Pfeiffer D1,4, Fournie G4","AffiliationsHtml":"
1Department of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon, Hong Kong SAR (China)
2European Food Safety Authority (EFSA), Parma, Italy
3Department of Medicine and Surgery, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh
4Department of Pathology and Population Sciences, Royal Veterinary College, University of London, London, United Kingdom
"}],"DisplayName":"Lisa Kohnle","TimeDisplay":null},{"ContactId":"5a4905c4-bd72-4bb4-a551-e1f58e1bc823","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Temitope","LastName":"Kolapo","Position":"","Organization":"University of Saskatchewan","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Canine alveolar echinococcosis: An emerging disease in North America ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3444e93f-520e-4c61-a80c-376f1d32b798","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Html":null,"PlainText":"Objective: Alveolar echinococcosis (AE), caused by the metacestode of Echinococcus multilocularis, is emerging in both dogs and people in North America. This study reviews cases of canine AE opportunistically reported over the last decade in Western Canada and describes the utility of molecular epidemiological tools to better diagnose and track transmission.
Materials and Methods: Cases were identified by contacting provincial, academic, and veterinary diagnostic laboratories, specialty veterinary hospitals, and through word of mouth. Descriptive statistics were generated, and DNA was extracted from available tissues for molecular diagnosis and haplotyping.
Results: There were 27 dogs of different breeds with no age (median = 4 years, range = 1-12) or sex (14 females, 13 males) predilection. None of the dogs with AE had adult cestodes or eggs of E. multilocularis in feces. Over half of the dogs had plausible risk factors for exposure to E. multilocularis. On histopathology, protoscoleces were observed in 7 dogs while the remaining 20 dogs displayed calcareous corpuscles and/or germinal membrane. Diagnosis as AE was confirmed by PCR on DNA extracted from metacestode tissue/ fluid using primers for the NADH dehydrogenase (NAD) subunit 1 mitochondrial gene. Haplotyping at the NAD2 locus demonstrated that North American cases of canine AE were most similar to European versus North American haplotypes and were identical to those in local wild canids. Also, the haplotype of AE from a dog in Ontario was similar to the index US canine AE case from northern Virginia, USA, and differed from the main haplotype in western Canada.
Conclusion: This study provides important information for veterinary practitioners on a rare but serious disease and suggests that dogs with AE may serve as indicators of range expansion and risk to humans.
Key words:¬ Canine Alveolar Echinococcosis; Echinococcus multilocularis, Emerging, Haplotype, public health.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Title":"Dr.","FirstName":"Temitope","LastName":"Kolapo","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kolapo T"},{"PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Title":"Dr","FirstName":"Allison","LastName":"Hay","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Hay A"},{"PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Title":"Dr","FirstName":"Jamie","LastName":"Rothenburger","Position":"Assistant Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Rothenburger J"},{"PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Title":"Dr","FirstName":"Alessandro","LastName":"Massolo","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Massolo A"},{"PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Title":"Dr","FirstName":"Caroline","LastName":"Frey","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Frey C"},{"PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Title":"Dr","FirstName":"Danny","LastName":"Joffe","Position":"Veterinarian","Affiliations":"5","IsPresenting":false,"SortOrder":6,"DisplayName":"Joffe D"},{"PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Title":"Dr","FirstName":"Tim","LastName":"Spotswood","Position":"Veterinarian","Affiliations":"5","IsPresenting":false,"SortOrder":7,"DisplayName":"Spotswood T"},{"PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Title":"Dr","FirstName":"Emily","LastName":"Jenkins","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Jenkins E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Number":1,"Affiliation":"Department of Veterinary Microbiology, University Of Saskatchewan","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Department of Veterinary Microbiology, University Of Saskatchewan, Saskatoon SK, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Number":2,"Affiliation":"Department Ecosystem & Public Health Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department Ecosystem & Public Health Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Number":3,"Affiliation":"Ethology Unit, Department of Biology, University of Pisa, Italy","City":"Pisa","State":null,"Country":"Italy","AffiliationDisplay":"Ethology Unit, Department of Biology, University of Pisa, Italy, Pisa, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Number":4,"Affiliation":"Institute of Parasitology, Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Länggassstrasse 122, CH-3012 Bern, ","City":null,"State":"Bern","Country":"Switzerland","AffiliationDisplay":"Institute of Parasitology, Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Länggassstrasse 122, CH-3012 Bern, , Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f77f860c-792e-44a8-998d-3393b485f9af","Number":5,"Affiliation":"VCA CARE Centre Animal Hospital, 7140 12 St SE","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"VCA CARE Centre Animal Hospital, 7140 12 St SE, Calgary AB, Canada"}],"AuthorsHtml":"Kolapo T1, Hay A1, Rothenburger J2, Massolo A3, Frey C4, Joffe D5, Spotswood T5, Jenkins E1","AffiliationsHtml":"
1Department of Veterinary Microbiology, University Of Saskatchewan, Saskatoon SK, Canada
2Department Ecosystem & Public Health Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada
3Ethology Unit, Department of Biology, University of Pisa, Italy, Pisa, Italy
4Institute of Parasitology, Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Länggassstrasse 122, CH-3012 Bern, , Bern, Switzerland
5VCA CARE Centre Animal Hospital, 7140 12 St SE, Calgary AB, Canada
"}],"DisplayName":"Temitope Kolapo","TimeDisplay":null},{"ContactId":"eb6ef3cb-ec70-4703-a257-e5ee6f29eb91","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mogens","LastName":"Krogh","Position":"Researcher","Organization":"Aarhus University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Associations between biosecurity and neonatal calf mortality in Denmark based on questionnaire data and Multiple Correspondence Analysis","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"30afad0f-81c8-4660-b577-f4d80813db5c","Html":null,"PlainText":"Objective: Questionnaires regarding management procedures and biosecurity measures can help identify factors that potentially affect calf mortality in dairy herds. However, the large number of questions and complex interrelations between questions make risk factor analysis difficult. The objective of this study was to associated risk factors from a questionnaire on biosecurity to neonatal calf mortality.
Materials and methods: 77 dairy farmers that delivered bull calves to intensified slaughter calf production systems, completed the online BioSecure questionnaire. The BioSecure questionnaire contains 13 sections of questions, where each section is related to a specific area of biosecurity and/or calf management. In total, BioSecure consists of 180 questions, with sub-questions and paths that could redirect the farmer to a specific subset of questions. The BioSecure questionnaire could be completed by the farmers in approximately 45 min. A Multiple Correspondence Analysis (MCA) was done on answers of potential relevance to neonatal calf mortality to reduce the response from the questionnaires to fewer dimensions of inter-correlated variables. MCA was performed on 107 BioSecure questions/sub-questions after initial restructuring/grouping of answers. One-year neonatal calf mortality as deaths within the first 14 days of life was found from production records for each of the herds. The dimensions from the MCA were used as predictive variables in logistic regression analysis of neonatal calf mortality.
Results: Dimension 1 from the MCA was significantly associated neonatal calf mortality (p<0.001). Dimension 1 is characterized by the answers of 6 questions related to colostrum management and managing the risk of disease transmission, where the procedures by the herds with high values of Dimension 1 is characterized as lack of specific control measures.
Conclusions: Applying MCA on questionnaire data is promising for characterising patterns in answers that can be associated with production outcomes such as neonatal mortality.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"30afad0f-81c8-4660-b577-f4d80813db5c","Title":"Dr.","FirstName":"Mogens","LastName":"Krogh","Position":"Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Krogh M"},{"PresentationId":"30afad0f-81c8-4660-b577-f4d80813db5c","Title":null,"FirstName":"Anna","LastName":"Schönherz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Schönherz A"},{"PresentationId":"30afad0f-81c8-4660-b577-f4d80813db5c","Title":null,"FirstName":"Mette","LastName":"Wilson","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Wilson M"},{"PresentationId":"30afad0f-81c8-4660-b577-f4d80813db5c","Title":null,"FirstName":"Emma","LastName":"Madsen","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Madsen E"},{"PresentationId":"30afad0f-81c8-4660-b577-f4d80813db5c","Title":"Prof.","FirstName":"Liza","LastName":"Rosenbaum Nielsen","Position":"Professor in Veterinary Preventive Medicine","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Rosenbaum Nielsen L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"30afad0f-81c8-4660-b577-f4d80813db5c","Number":1,"Affiliation":"Aarhus University, Dept. of Animal Science","City":"Tjele","State":"Denmark","Country":"Denmark","AffiliationDisplay":"Aarhus University, Dept. of Animal Science, Tjele Denmark, Denmark"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"30afad0f-81c8-4660-b577-f4d80813db5c","Number":2,"Affiliation":"University of Copenhagen, Dept. of Veterinary and Animal Sciences","City":"Frederiksberg, Copenhagen","State":"Denmark","Country":"Denmark","AffiliationDisplay":"University of Copenhagen, Dept. of Veterinary and Animal Sciences, Frederiksberg, Copenhagen Denmark, Denmark"}],"AuthorsHtml":"Krogh M1, Schönherz A1, Wilson M2, Madsen E2, Rosenbaum Nielsen L2","AffiliationsHtml":"
1Aarhus University, Dept. of Animal Science, Tjele Denmark, Denmark
2University of Copenhagen, Dept. of Veterinary and Animal Sciences, Frederiksberg, Copenhagen Denmark, Denmark
"}],"DisplayName":"Mogens Krogh","TimeDisplay":null},{"ContactId":"9e86318f-4f49-425d-9934-820c67d62b1e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Maureen","LastName":"Kuboka","Position":"","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":" Food safety in informal markets in the East Africa Community: Perceptions of key stakeholders in the food value chain.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Html":null,"PlainText":"
Introduction: Five of the six countries in the East Africa Community are classified by the WHO under the AFR-E sub-region. This sub-region is the second highest in foodborne disease burden with 1,200 DALYs per 100,000 inhabitants. Unsafe food has serious impacts on health and livelihoods of the people, as well as trade and economic development. Addressing food safety gaps requires participation of all stakeholders in the food value chain.
Objectives: The objective of this study is to analyse the perceptions of relevant stakeholders on status of food safety, food safety gaps in informal markets and discuss opportunities to improve food safety in the region.
Materials and methods: This is a qualitative study involving the use of participatory methods. Burundi and Kenya have purposely been selected for the study, with defined informal market settings. The protocols to guide data collection will be developed in English and translated to Swahili (for Kenya) and Kirundi (for Burundi), and pre-tested before use in the field. Ethical approvals in line with requirements in each country will be sought. Informed consent will also be obtained from all participants prior to their involvement in the study. Data will be summarized and synthesized thematically. Statistical methods for handling non-normal data will be considered.
Results: The perceptions of stakeholders on status of food safety in informal markets and suggestions on priority value chains that should be considered for food safety intervention will be discussed.
Conclusions: This study will provide in-depth understanding of food safety status in both countries, as perceived by the stakeholders. The findings are expected to guide future research work and further inform decision making for policy development and donor investment.
Key words: Food safety, Informal market, Stakeholder, East Africa.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Title":"Ms.","FirstName":"Maureen","LastName":"Kuboka","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Kuboka M"},{"PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Title":"Prof.","FirstName":"Karin","LastName":"Artursson","Position":"Proffessor","Affiliations":"1,6","IsPresenting":false,"SortOrder":2,"DisplayName":"Artursson K"},{"PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Title":"Ms.","FirstName":"Florence","LastName":"Mutua","Position":"Scientist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mutua F"},{"PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Affiliations":"2,3,4,6","IsPresenting":false,"SortOrder":4,"DisplayName":"Lindahl J"},{"PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Title":"Dr.","FirstName":"Gunnar","LastName":"Carlsson","Position":"Proffessor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Carlsson G"},{"PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":"2,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Randolph D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Number":1,"Affiliation":"Department of Biomedical Science and Veterinary Public Health; Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Biomedical Science and Veterinary Public Health; Swedish University of Agricultural Sciences, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Number":2,"Affiliation":"One Health Research, Education and Outreach Centre in Africa, International Livestock Research Institute","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"One Health Research, Education and Outreach Centre in Africa, International Livestock Research Institute, Nairobi Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Number":3,"Affiliation":"Department of Clinical Sciences, Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Number":4,"Affiliation":"Department of Medical Biochemistry and Microbiology, Uppsala University","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Number":5,"Affiliation":"National Resources Institute, Faculty of Engineering and Science, University of Greenwich","City":"Kent","State":null,"Country":"United Kingdom","AffiliationDisplay":"National Resources Institute, Faculty of Engineering and Science, University of Greenwich, Kent, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"180e2538-d78c-4710-9fc2-706a97ffad35","Number":6,"Affiliation":"National Veterinary Institute","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"National Veterinary Institute, Uppsala, Sweden"}],"AuthorsHtml":"Kuboka M1,2, Artursson K1,6, Mutua F2, Lindahl J2,3,4,6, Carlsson G1, Randolph D2,5","AffiliationsHtml":"
1Department of Biomedical Science and Veterinary Public Health; Swedish University of Agricultural Sciences, Uppsala, Sweden
2One Health Research, Education and Outreach Centre in Africa, International Livestock Research Institute, Nairobi Nairobi, Kenya
3Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
4Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
5National Resources Institute, Faculty of Engineering and Science, University of Greenwich, Kent, United Kingdom
6National Veterinary Institute, Uppsala, Sweden
"}],"DisplayName":"Maureen Kuboka","TimeDisplay":null},{"ContactId":"c651b053-be9e-40fd-8996-191e41071d4f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Minna","LastName":"Kujala-Wirth","Position":"Clinical Teacher","Organization":"University of Helsinki","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a089ad87aba942b1acc2d17997f1d247","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Parameters associated with piglet survival and growth until slaughter","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ae438d8a-4d01-4863-bc77-26ac2af34290","Html":null,"PlainText":"keywords: pig, survival, growth, weight, sex

Objective
We aimed to investigate the association of parameters such as piglet weight, sex, medication and sow parity with piglet growth and survival.
Material and methods
Altogether 3993 piglets were born in 5 farms and moved to 9 finishing farms at the age of 10 weeks. Researchers checked them five times: 0-7 days after birth, where also their sex and weight was recorded (weight at day 4 calculated, W4), and thereafter at regular intervals until slaughter. A total of 2095 pigs lost their ear tags, and were treated as censored at the last observed time point. Mortality during the observation periods was investigated by a discrete time survival analysis. Piglet growth for 1197 pigs with known birth and slaughter dates was analysed by a linear model. The multivariable survival and growth models also accounted for farm effects. Collinearity among predictors and linearity of the continuous predictors were evaluated.
Results
For the discrete time survival analysis, there were 3508 pigs present at the first checkpoint. Medium sized piglets (W4 1-1.5 kg) had 1.7 times and large piglets (W4>1.5kg) 4 times higher odds of survival through an observation period than small piglets (W4<1 kg). Barrows and medicated suckling piglets were both 1.8 times more likely to die compared to female or non-medicated piglets. The largest mortality occurred before weaning. The average lifetime for dying piglets was 11 days (IQ 3-12). Piglets born to sows (parity >=2), piglets with large W4, and barrows surviving until slaughter grew 29, 75-122 and 14g/d better than piglets born to gilts, with low W4 and female piglets, respectively.
Conclusion
The weight at day 4 and the sex of the pig have large impacts on its survival and growth until slaughter.
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1Department of Production Animal Medicine, Faculty of Veterinary Medicine, University Of Helsinki, Mäntsälä Uusimaa, Finland
2Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown Prince Edward Island, Canada
3Research Centre for Animal Welfare, Department of Production Animal Medicine, University of Helsinki, Helsinki Uusimaa, Finland
"}],"DisplayName":"Minna Kujala-Wirth","TimeDisplay":null},{"ContactId":"db116e91-4054-4a3c-bbe8-42b59dc95378","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Pranav Shrikant","LastName":"Kulkarni","Position":"Phd Candidate","Organization":"Wageningen University and Research","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/239fb06ab0cf4277988d358e1474839f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Dutch dairy farmers’ perspective on culling reasons and strategies","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Html":null,"PlainText":"There is little known about the reasons for Dutch dairy culling decisions. Aim of the study was to identify the important reasons for culling producing cows, understand the culling strategies applied by Dutch farmers and their intentions of altering these strategies.
An online survey was distributed on a national network of dairy farmers. This survey consisted of four parts, namely, farm characteristics (herd size, milking system, etc.), reasons for culling cows (primiparous and multiparous), strategies of culling and the intentions of farmers to alter their current strategy in the future. After collecting the responses over one month in 2021, descriptive analyses were performed.
Of 176 respondents, 122 completed majority of the survey. Respondents had an average herd size of 128 cows. The average number of culled cows was 21 with an average herd age of 5.4 years. Of the reported reasons for recently culled primiparous cows, 34.4% and 18.9% were due to reproductive failure and low milk, respectively. In multiparous cow culling, 46.7%, 29.2% and 28.8% reported reproductive failure, presence of mastitis and, lameness as reasons respectively. For all cows, the least frequent reasons were available replacements, unwanted behaviour, and udder conformation. Regarding the culling strategies, 72% respondents reported that they adopted a clear culling plan. 80% of the respondents said that their culling decisions were unavoidable. 62.6% and 53% of respondents reported that they did not intend to alter their culling strategy for primiparous and multiparous cows respectively. Of others, 65% intended to decrease overall culling. 73% intended to alter their culling strategy for economic gain.
In conclusion, most important reasons for culling of Dutch dairy cows were reproductive failure and presence of production diseases (mastitis, lameness). Most of the respondents followed specific culling strategies without intentions of altering it in the future.
Keywords:Survey, culling strategies, dairy, reproduction, mastitis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Title":"Mr.","FirstName":"Pranav Shrikant","LastName":"Kulkarni","Position":"Phd Candidate","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Kulkarni P"},{"PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Title":"Ms.","FirstName":"Jasmijn","LastName":"Slob","Position":"Masters' student","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Slob J"},{"PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Title":"Dr.","FirstName":"Wilma","LastName":"Steeneveld","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Steeneveld W"},{"PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Title":"Dr.","FirstName":"Anouk","LastName":"Veldhuis","Position":"Veterinary Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Veldhuis A"},{"PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Title":"Dr.","FirstName":"Monique","LastName":"Mourits","Position":"Associate professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Mourits M"},{"PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Title":"Prof.","FirstName":"Gerdien","LastName":"van Schaik","Position":"Epidemiologist","Affiliations":"2,3","IsPresenting":false,"SortOrder":6,"DisplayName":"van Schaik G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Number":1,"Affiliation":"Business Economics Group, Wageningen University & Research","City":"Wageningen","State":"Gelderland","Country":"Netherlands","AffiliationDisplay":"Business Economics Group, Wageningen University & Research, Wageningen Gelderland, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Number":2,"Affiliation":"Farm Animal Health, Dept. of Population health sciences, Utrecht University","City":"Utrecht","State":"Utrecht","Country":"Netherlands","AffiliationDisplay":"Farm Animal Health, Dept. of Population health sciences, Utrecht University, Utrecht Utrecht, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"663ef912-997e-46cb-9a13-188e042cbaf3","Number":3,"Affiliation":"R&D Epidemiology group, Royal GD","City":"Deventer","State":"Gelderland","Country":"Netherlands","AffiliationDisplay":"R&D Epidemiology group, Royal GD, Deventer Gelderland, Netherlands"}],"AuthorsHtml":"Kulkarni P1,2, Slob J2, Steeneveld W2, Veldhuis A3, Mourits M1, van Schaik G2,3","AffiliationsHtml":"
1Business Economics Group, Wageningen University & Research, Wageningen Gelderland, Netherlands
2Farm Animal Health, Dept. of Population health sciences, Utrecht University, Utrecht Utrecht, Netherlands
3R&D Epidemiology group, Royal GD, Deventer Gelderland, Netherlands
"},{"Title":"The impact of changes in national agricultural policy on the survival age of Dutch dairy cows","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"cc7a8d79-a5d9-425d-85cb-1529a5b8b0dc","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.E - Animal welfare","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"bbc81c1a-4bc8-4e3a-b4ba-11adc36bedfb","Html":null,"PlainText":" In the past decade there have been several changes in agricultural policy, affecting the culling in the Dutch dairy sector (e.g., abolishment of milk quota, phosphate regulations). The aim of this study was to analyse the survival of dairy cows on commercial Dutch dairy farms in response to these national policy changes.
An Accelerated Failure Time model with survival intervals of weeks between test-days of the Milk Production Registration was applied. The data included 5,289,957 milk producing cows from 14,618 commercial dairy herds collected between 2009 and 2019. The associated cow-level risk factors for culling such as relative milk production, parities, number of inseminations (INS), fat-protein-ratio in early lactation, somatic cell count (SCC), were fitted in the model. Along with these, a factor representing three target policy periods, namely Milk Quota period (MQ), Post-Milk Quota period (PMQ) and Phosphate regulation period (PH) was fitted.
The total culling events (x 1000) varied between 232-245 in MQ, 230-300 in PMQ and 287-338 in PH as seen in the figure. The median survival of the cows decreased by 2.7 and 15.3 weeks in PMQ and PH, respectively, compared to MQ. Risk factors such as relative milk production, parity, INS, and high fat-protein-ratio were positively associated whereas SCC and low fat-protein-ratio were negatively associated with survival time in all three policy periods.
In conclusion, the survival age of cows was influenced by the agricultural policy changes and the association of cow-level risk factors for culling was consistent across the three policy periods.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"bbc81c1a-4bc8-4e3a-b4ba-11adc36bedfb","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/25b3bf04fd9248e49df02151da4fdce2","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"bbc81c1a-4bc8-4e3a-b4ba-11adc36bedfb","Title":"Mr.","FirstName":"Pranav","LastName":"Kulkarni","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Kulkarni P"},{"PresentationId":"bbc81c1a-4bc8-4e3a-b4ba-11adc36bedfb","Title":"Dr.","FirstName":"Monique","LastName":"Mourits","Position":"Associate professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mourits M"},{"PresentationId":"bbc81c1a-4bc8-4e3a-b4ba-11adc36bedfb","Title":"Dr.","FirstName":"Jan","LastName":"van den Broek","Position":"Assistant Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"van den Broek J"},{"PresentationId":"bbc81c1a-4bc8-4e3a-b4ba-11adc36bedfb","Title":"Prof.","FirstName":"Mirjam","LastName":"Nielen","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Nielen M"},{"PresentationId":"bbc81c1a-4bc8-4e3a-b4ba-11adc36bedfb","Title":"Dr.","FirstName":"Wilma","LastName":"Steeneveld","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Steeneveld W"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bbc81c1a-4bc8-4e3a-b4ba-11adc36bedfb","Number":1,"Affiliation":"Business Economics group, Wageningen University & Research","City":"Wageningen","State":"Gelderland","Country":"Netherlands","AffiliationDisplay":"Business Economics group, Wageningen University & Research, Wageningen Gelderland, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bbc81c1a-4bc8-4e3a-b4ba-11adc36bedfb","Number":2,"Affiliation":"Farm Animal Health, Dept. of Population health sciences, Utrecht University","City":"Utrecht","State":"Utrecht","Country":"Netherlands","AffiliationDisplay":"Farm Animal Health, Dept. of Population health sciences, Utrecht University, Utrecht Utrecht, Netherlands"}],"AuthorsHtml":"Kulkarni P1,2, Mourits M1, van den Broek J2, Nielen M2, Steeneveld W2","AffiliationsHtml":"
1Business Economics group, Wageningen University & Research, Wageningen Gelderland, Netherlands
2Farm Animal Health, Dept. of Population health sciences, Utrecht University, Utrecht Utrecht, Netherlands
"}],"DisplayName":"Pranav Shrikant Kulkarni","TimeDisplay":null},{"ContactId":"a662408e-481b-4980-bfac-772a63b0f476","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Daryna","LastName":"Kurban","Position":"Phd Candidate","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Diagnosing Intramammary Infection: Meta-analysis and Mapping Review on Frequency and Udder-health Relevance of Microorganism Species Retrieved in Bovine Milk Samples","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Html":null,"PlainText":"Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry provides accurate species-level identification of many, but not necessarily pathogenic, microorganisms in bovine milk. Our study aimed to: 1) determine the species-specific prevalence of microorganisms identified in bovine milk of apparently healthy lactating quarters vs. quarters with clinical mastitis (CM); and 2) map current information and knowledge gaps on udder health relevance of microorganisms retrieved from bovine milk samples.

A mixed study design (meta-analysis and mapping review) was chosen. We gathered several large North (Canada, US) and South American (Brazil) data sets of MALDI-TOF results for organisms cultured from quarter milk samples. For meta-analysis, two datasets (apparently healthy quarters vs. CM samples) were organized. A series of meta-analyses was conducted to determine microorganisms’ prevalence. Then, each species reported was searched through PubMed to investigate whether inflammation (somatic cell count or signs of CM) was associated with microorganism’s recovery from milk.

A total of 294 different species of microorganisms recovered from milk samples were identified. Among 50,429 quarter-milk samples from apparently healthy quarters, the 5 most frequent species were Staphylococcus chromogenes (6.7%, 95% CI 4.5-9.2%), Aerococcus viridans (1.6%, 95% CI 0.4-3.5%), Staphylococcus aureus (1.5%, 95%CI 0.5-2.8%), Staphylococcus haemolyticus (0.9%, 95%CI 0.4-1.5%), and Staphylococcus epidermidis (0.7%, 95%CI 0.2-1.6%). Among the 43,924 quarter-milk CM samples, the 5 most frequent species were Escherichia coli (11%, 95%CI 8.1-14.3%), Streptococcus uberis (8.5%, 95% CI 5.3-12.2%), Streptococcus dysgalactiae (7.8%, 95%CI 4.9-11.5%), Staphylococcus aureus (7.8%, 95%CI 4.4-11.9%), and Klebsiella pneumoniae (5.6%, 95% CI 3.4-8.2%).When conducting the PubMed literature search, there were 206 species identified by MALDI-TOF for which we were not able to find any CM nor SCC information.

Our study will provide guidance to veterinarians for interpretation of milk bacteriological identification conducted using MALDI-TOF and will identify knowledge gaps for future research.

Key words: Cattle, milk microbiology, MALDI-TOF, mastitis, meta-analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Daryna","LastName":"Kurban","Position":"Phd Candidate","Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Kurban D"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr","FirstName":"Jean-Philippe","LastName":"Roy","Position":"Full professor","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Roy J"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":null,"FirstName":"Fidèle","LastName":"Kabera","Position":"Postdoctoral researcher","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":3,"DisplayName":"Kabera F"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Annie","LastName":"Fréchette","Position":null,"Affiliations":"1,2,3","IsPresenting":false,"SortOrder":4,"DisplayName":"Fréchette A"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Maryse Michele","LastName":"Um","Position":"Postdoctoral Reseacher","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Um M"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Ahmad","LastName":"Albaaj","Position":"Postdoctoral researcher","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":6,"DisplayName":"Albaaj A"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Sam","LastName":"Rowe","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":7,"DisplayName":"Rowe S"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Sandra","LastName":"Godden","Position":"Professor","Affiliations":"5","IsPresenting":false,"SortOrder":8,"DisplayName":"Godden S"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Pamela R. F.","LastName":"Adkins","Position":"Professor","Affiliations":"6","IsPresenting":false,"SortOrder":9,"DisplayName":"Adkins P"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"John R.","LastName":"Middleton","Position":"Professor","Affiliations":"6","IsPresenting":false,"SortOrder":10,"DisplayName":"Middleton J"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Marie-Lou","LastName":"Gauthier","Position":null,"Affiliations":"7","IsPresenting":false,"SortOrder":11,"DisplayName":"Gauthier M"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Gregory","LastName":"Keefe","Position":"Professor","Affiliations":"2,8","IsPresenting":false,"SortOrder":12,"DisplayName":"Keefe G"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Trevor J.","LastName":"DeVries","Position":"Professor","Affiliations":"2,9","IsPresenting":false,"SortOrder":13,"DisplayName":"DeVries T"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"2,9","IsPresenting":false,"SortOrder":14,"DisplayName":"Kelton D"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Paolo","LastName":"Moroni","Position":"Professor","Affiliations":"10,11","IsPresenting":false,"SortOrder":15,"DisplayName":"Moroni P"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Marcos","LastName":"Veiga dos Santos","Position":"Professor","Affiliations":"12","IsPresenting":false,"SortOrder":16,"DisplayName":"Veiga dos Santos M"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"2,13","IsPresenting":false,"SortOrder":17,"DisplayName":"Barkema H"},{"PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Title":"Prof.","FirstName":"Simon","LastName":"Dufour","Position":"Professor of Epidemiology","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":18,"DisplayName":"Dufour S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":1,"Affiliation":"Université de Montréal","City":"St-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Université de Montréal, St-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":2,"Affiliation":"Mastitis Network","City":"St-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Mastitis Network, St-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":3,"Affiliation":"Research group Op+Lait","City":"St-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Research group Op+Lait, St-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":4,"Affiliation":"The University of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"The University of Sydney, Camden NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":5,"Affiliation":"University of Minnesota","City":"St Paul","State":"MN","Country":"USA","AffiliationDisplay":"University of Minnesota, St Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":6,"Affiliation":"University of Missouri","City":"Columbia","State":"MO","Country":"USA","AffiliationDisplay":"University of Missouri, Columbia MO, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":7,"Affiliation":"MAPAQ","City":"St-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"MAPAQ, St-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":8,"Affiliation":"University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":9,"Affiliation":"University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":10,"Affiliation":"Cornell University","City":"Ithaca","State":" NY","Country":"USA","AffiliationDisplay":"Cornell University, Ithaca NY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":11,"Affiliation":"Universita’ degli Studi di Milano","City":" Lodi","State":"LO","Country":"Italy","AffiliationDisplay":"Universita’ degli Studi di Milano, Lodi LO, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":12,"Affiliation":"University of São Paulo","City":"São Paulo","State":"SP","Country":"Brazil","AffiliationDisplay":"University of São Paulo, São Paulo SP, Brazil"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"374f76ff-60ac-4e0a-99f0-9c3a479f13e7","Number":13,"Affiliation":"University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"University of Calgary, Calgary AB, Canada"}],"AuthorsHtml":"Kurban D1,2,3, Roy J1,2,3, Kabera F1,2,3, Fréchette A1,2,3, Um M1,2,3, Albaaj A1,2,3, Rowe S4, Godden S5, Adkins P6, Middleton J6, Gauthier M7, Keefe G2,8, DeVries T2,9, Kelton D2,9, Moroni P10,11, Veiga dos Santos M12, Barkema H2,13, Dufour S1,2,3","AffiliationsHtml":"
1Université de Montréal, St-Hyacinthe QC, Canada
2Mastitis Network, St-Hyacinthe QC, Canada
3Research group Op+Lait, St-Hyacinthe QC, Canada
4The University of Sydney, Camden NSW, Australia
5University of Minnesota, St Paul MN, USA
6University of Missouri, Columbia MO, USA
7MAPAQ, St-Hyacinthe QC, Canada
8University of Prince Edward Island, Charlottetown PE, Canada
9University of Guelph, Guelph ON, Canada
10Cornell University, Ithaca NY, USA
11Universita’ degli Studi di Milano, Lodi LO, Italy
12University of São Paulo, São Paulo SP, Brazil
13University of Calgary, Calgary AB, Canada
"}],"DisplayName":"Daryna Kurban","TimeDisplay":null},{"ContactId":"050f8da6-16e1-46a5-812a-4f17a3e588dd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Stephen","LastName":"Kwok","Position":"","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Ontologies of animal and livestock health: A synthesis review for the Global Burden of Animal Diseases program\r\n","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Html":null,"PlainText":"Objective
The Global Burden of Animal Diseases programme (GBADs) is developed to estimate the impacts of animal health on agricultural animals, livestock production systems, and associated communities worldwide. One of the Animal Health Ontology theme’s key objectives was to review conceptual frameworks such as ontologies and their classification systems, main categories and key terms in biomedical science, with a focus on data needs in animal health and its links with human and environmental health.

Methods
In January 2022, we searched animal/livestock ontologies and ontologies which contained animal concepts on well-recognized repositories of biomedical ontologies including BioPortal, OBO Foundry and Ontology Lookup Service (OLS). On BioPortal we searched “animal” or “livestock” in the titles of the ontologies. We searched “animal” or “livestock” in the descriptions of the ontologies on OBO foundry. We also searched these key terms in the ontologies which contained these terms in their titles and descriptions on OLS.

Results
We identified sixteen ontologies which contained animal concepts; examples included “Animal Trait Ontology For Livestock”, “Animal Health Surveillance Ontology” (development in progress), “NCBITaxon”, and “Uberon”. Six of the ontologies had been published in journal/conference articles. The main topic areas of the ontologies varied covering surveillance, anatomy, genetics etc. However, ten ontologies had no class definition in a signifciant percentage of the classes.

Conclusion
Experts’ input was the common approach in ontology development, while a few others might use text mining to validate the work. Nonetheless, further works need to be done such as reporting domain evidence to support the proposed model; critical appraisal of external ontologies before reuse; and external expert reviews and statistical test of agreements. The results of this review were used to inform the structural framework, concepts and ratoinales of the Animal Health Ontology for GBADs.

Keywords: animals; livestock; health; ontology; information science","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Title":"Dr.","FirstName":"Stephen","LastName":"Kwok","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kwok S"},{"PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Title":"Dr.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Bruce M"},{"PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Title":"Dr.","FirstName":"Andrew","LastName":"Larkins","Position":"Phd Candidate | Research Assistant","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Larkins A"},{"PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Title":"Dr","FirstName":"Fernanda","LastName":"Dórea","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Dórea F"},{"PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Title":"Mr.","FirstName":"Crawford","LastName":"Revie","Position":"Professor Of Epidemiology","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Revie C"},{"PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Rushton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Number":1,"Affiliation":"Murdoch University","City":"Perth","State":"WA","Country":"Australia","AffiliationDisplay":"Murdoch University, Perth WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Number":2,"Affiliation":"National Veterinary Institute","City":null,"State":null,"Country":"Sweden","AffiliationDisplay":"National Veterinary Institute, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Number":3,"Affiliation":"University of Strathclyde","City":null,"State":null,"Country":"UK","AffiliationDisplay":"University of Strathclyde, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ea9cef44-1fdb-4e2d-92e5-6c69c480d422","Number":4,"Affiliation":"University of Liverpool","City":null,"State":null,"Country":"UK","AffiliationDisplay":"University of Liverpool, UK"}],"AuthorsHtml":"Kwok S1, Bruce M1, Larkins A1, Dórea F2, Revie C3, Rushton J4","AffiliationsHtml":"
1Murdoch University, Perth WA, Australia
2National Veterinary Institute, Sweden
3University of Strathclyde, UK
4University of Liverpool, UK
"}],"DisplayName":"Stephen Kwok","TimeDisplay":null},{"ContactId":"2b635423-2166-4492-965c-d7a0423ea864","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Britteny","LastName":"Kyle","Position":"","Organization":"Ontario Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Clustering of American foulbrood in managed honey bees (Apis mellifera) in Ontario, 2015-2020","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a1e1cd1d-6619-4ecf-9d28-05e2eb0547c3","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.E - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"f9930297-aad4-464c-84fb-7afc97dc151c","Html":null,"PlainText":" American foulbrood (AFB) is a highly virulent bacterial disease of managed honey bee colonies. The objectives of this study were to analyze retrospective honey bee inspection records to summarize the descriptive epidemiology of AFB inspection data in Ontario, examine temporal trends of AFB prevalence, and assess the geographic distribution of AFB cases at the colony, apiary, and operation level.

Analysis was performed on 2,789 records collected by the Ontario Ministry of Agriculture, Food and Rural Affairs apiary program on registered honey bee colony inspections during the 2015 through 2020 beekeeping seasons. Observed prevalence was calculated at the colony, apiary, and operation level; within hobbyist and commercial beekeeping operations; and for each year. Smoothed prevalence data using Bayesian estimation was used for choropleth mapping and Moran’s I analysis. The data was examined for high and low disease prevalence clusters using the flexible spatial scan test.

Prevalence of AFB was 1.6%, 4.2%, and 5.8% at the colony, apiary, and operation levels, respectively. There were no apparent temporal or spatial trends in disease occurrence. Moran’s I correlation coefficient was 0.09, 0.13 and -0.01 at the colony, apiary, and operation level, respectively. The flexible spatial scan test identified two disease clusters at the colony level with standardized mortality ratios (SMRs) of 4.54 (95% CI=3.62-5.57) and 2.42 (95% CI=2.03-2.85). One disease cluster was detected at the apiary level with a SMR of 3.14 (95% CI=2.08-4.41).

\tThe findings were consistent with low levels of endemic AFB within the Ontario honey bee population. Spatial analysis was supportive of the main mode of AFB transmission occurring within beekeeping operations as a result of management practices. These results will be useful for veterinarians working on AFB management protocols within operations, and to inform research on AFB mitigation and surveillance strategies.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f9930297-aad4-464c-84fb-7afc97dc151c","Title":"Dr.","FirstName":"Britteny","LastName":"Kyle","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Kyle B"},{"PresentationId":"f9930297-aad4-464c-84fb-7afc97dc151c","Title":"Dr.","FirstName":"Olaf","LastName":"Berke","Position":"Associate Professor of Statistical Epidemiology and Graduate Exam Coordinator","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Berke O"},{"PresentationId":"f9930297-aad4-464c-84fb-7afc97dc151c","Title":"Dr. ","FirstName":"David","LastName":"Pearl","Position":"Associate Professor ","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Pearl D"},{"PresentationId":"f9930297-aad4-464c-84fb-7afc97dc151c","Title":"Dr.","FirstName":"Stephen","LastName":"Pernal","Position":"Officer-in-Charge","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Pernal S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f9930297-aad4-464c-84fb-7afc97dc151c","Number":1,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f9930297-aad4-464c-84fb-7afc97dc151c","Number":2,"Affiliation":"Beaverlodge Research Farm, Agriculture and Agri-Food Canada, Government of Canada","City":"Beaverlodge","State":"Alberta","Country":"Canada","AffiliationDisplay":"Beaverlodge Research Farm, Agriculture and Agri-Food Canada, Government of Canada, Beaverlodge Alberta, Canada"}],"AuthorsHtml":"Kyle B1, Berke O1, Pearl D1, Pernal S2","AffiliationsHtml":"
1Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada
2Beaverlodge Research Farm, Agriculture and Agri-Food Canada, Government of Canada, Beaverlodge Alberta, Canada
"}],"DisplayName":"Britteny Kyle","TimeDisplay":null},{"ContactId":"86ec38fb-6c04-4cd8-a0ac-3cabfe9bd080","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Helena","LastName":"Ladreyt","Position":"","Organization":"CIRAD","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/716a3d47566d43eb85764bd474c7fc57","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Challenges of engaging actors via a co-design process: the case of PREZODE (preventing zoonotic disease emergence) international initiative","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Html":null,"PlainText":"PREZODE aims to catalyze joint actions to improve surveillance, risk mitigation and early warning systems for zoonoses emergence, adapted to local socio-economic contexts. An ambition of PREZODE is to be co-designed with all relevant stakeholders, between all health sectors, researchers, field operators, decision-makers - from local to international levels. This co-design process will allow to define the generic scientific and operational framework of the initiative and the specific modalities of its implementation in each region to prevent zoonotic disease emergence.
Regional workshops following a standardized participatory method were implemented to 1) define a common vision of the initiative, its main objectives, expected impacts and obstacles; 2) identify the relevant actors and the changes in practices needed and 3) identify the activities to be implemented to promote such changes. The data generated from the workshops were literally transcribed and analyzed, accounting for participation and representativeness biases.
In 2021, workshops were carried out in nine regions of Africa, Asia, America and Europe, gathering more than 1000 contributors, from research (59%), policy (27%), operational (8%) and private sectors (6%). The PREZODE common vision was expressed as “a world without pandemics, where food safety, environmental protection, zoonoses emergence surveillance is ensured by considering inclusion of communities in a local to global approach”. Main obstacles to reaching this vision including lack of intersectorality, political and socio-cultural issues, cut across several regions. Explanations were also common to several main obstacles, such as the lack of bottom-up approaches and community inclusion, which therefore seem appropriate to work on in order to unblock sets of main obstacles.
Results will allow identifying operational actions and research questions to develop PREZODE scientific strategic agenda, which will be validated by workshops participants, and will allow defining relevant activities to implement in the next 30 years to prevent zoonoses emergence risks.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Title":"Dr.","FirstName":"Helena","LastName":"Ladreyt","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ladreyt H"},{"PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Title":"Dr.","FirstName":"Marisa","LastName":"Peyre","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Peyre M"},{"PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Title":"Dr.","FirstName":"Benjamin","LastName":"Roche","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Roche B"},{"PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Title":"Dr.","FirstName":"Murielle","LastName":"Trouillet","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Trouillet M"},{"PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Title":null,"FirstName":null,"LastName":"The PREZODE consortium","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"The PREZODE consortium"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Number":1,"Affiliation":"Cirad","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"Cirad, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Number":2,"Affiliation":"IRD","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"IRD, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Number":3,"Affiliation":"INRAE","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"INRAE, Paris, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7e7566bb-9099-4632-abce-b329da71cf65","Number":4,"Affiliation":"All PREZODE contributors","City":"All cities","State":null,"Country":"International","AffiliationDisplay":"All PREZODE contributors, All cities, International"}],"AuthorsHtml":"Ladreyt H1, Peyre M1, Roche B2, Trouillet M3, The PREZODE consortium4","AffiliationsHtml":"
1Cirad, Montpellier, France
2IRD, Montpellier, France
3INRAE, Paris, France
4All PREZODE contributors, All cities, International
"},{"Title":"Risk of diffusion of Japanese encephalitis virus following its introduction in Reunion Island","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Html":null,"PlainText":"Japanese encephalitis virus (JEV) is a vector-borne zoonotic virus and leading cause of human acute encephalitis in Asia. Some vector-borne diseases have been introduced to Reunion island located in the Indian Ocean, and have posed or are posing serious public health problems such as Dengue or Chikungunya. The numerous commercial and human exchanges between Southeast Asia and Reunion raise concerns about the introduction of JEV on the island where known vectors of JEV and amplifying hosts such as pigs are present.
We used a deterministic compartmental model, developed in Cambodia (where JE is endemic) and adapted to Reunion context in order to investigate whether multi-host systems, composed of pigs, poultry, and non-competent hosts as human, dogs and cattle, would allow a local circulation of JEV (based on R0 calculations) if introduced. Field and literature data were collected to adapt model parameters to the specific context of Reunion, including vector (estimated from mosquito trapping data) and host population sizes in areas of 1km radius (average flight distance of a Culex spp.) around pig farms. As the comparison between trapping data from Cambodia and La Reunion showed discordant effects of the type of trap, we studied 4 scenarios according to the trap type and to the season. For each scenario, R0 value was used to identify the areas most at risk for JEV circulation if introduced.
The calculated R0s were low in all scenarios, but was > 1 in 12 areas in 2 scenarios. Regardless of the scenario, the ranks of the areas according to R0 value did not change: ranks thus allowed identifying the most at-risk areas, one of which was located a few kilometers from the large port area of Reunion, which could be a gateway for JEV-infected vectors (Figure 1).","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b8486d203aa840848d5c7b5bf8d3f5cd","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Title":"Dr.","FirstName":"Helena","LastName":"Ladreyt","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ladreyt H"},{"PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Title":"Dr.","FirstName":"Benoit","LastName":"Durand","Position":"Head of unit","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Durand B"},{"PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Title":"Dr.","FirstName":"Claire","LastName":"Garros","Position":"Medical entomologist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Garros C"},{"PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Title":"Dr.","FirstName":"Thierry","LastName":"Baldet","Position":"Medical entomologist","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Baldet T"},{"PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Title":null,"FirstName":"Nausicaa","LastName":"Habchi-Hanriot","Position":"Medical entomologist","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Habchi-Hanriot N"},{"PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Title":"Dr.","FirstName":"Véronique","LastName":"Chevalier","Position":"Veterinary epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Chevalier V"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Number":1,"Affiliation":"UMR ASTRE, Cirad","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"UMR ASTRE, Cirad, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Number":2,"Affiliation":"EPI Unit, Animal Health Laboratory, Anses","City":"Maisons-Alfort","State":null,"Country":"France","AffiliationDisplay":"EPI Unit, Animal Health Laboratory, Anses, Maisons-Alfort, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d0aa97c-ff74-4e19-bb87-830bcbbb0dec","Number":3,"Affiliation":"ARS ","City":"Saint Denis","State":"La Réunion","Country":"France","AffiliationDisplay":"ARS , Saint Denis La Réunion, France"}],"AuthorsHtml":"Ladreyt H1, Durand B2, Garros C1, Baldet T1, Habchi-Hanriot N3, Chevalier V1","AffiliationsHtml":"
1UMR ASTRE, Cirad, Montpellier, France
2EPI Unit, Animal Health Laboratory, Anses, Maisons-Alfort, France
3ARS , Saint Denis La Réunion, France
"},{"Title":"Modelling Japanese encephalitis virus transmission dynamics and human exposure in a Cambodian rural multi-host system","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7e30a9c-236f-4ba3-b0a6-7c7cd4fd235d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.D - Infectious Disease Modeling","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"b4921423-631c-401f-8280-df9a64e38401","Html":null,"PlainText":"Japanese encephalitis (JE) is a vector-borne zoonosis and the leading cause of human acute encephalitis in Asia. Its epidemiological cycle is usually described as involving wild birds as reservoirs and pigs as amplifying hosts. JE is endemic in Cambodia, where it circulates in areas with low pig densities (<70 pigs per km²), and could be maintained in a multi-host system composed of pigs, but also poultry as competent hosts, and dogs, cattle and humans as non-competent hosts. We built and used a mathematical model representing Japanese Encephalitis virus (JEV) transmission in a traditional Cambodian village (calibrated with field data collected in 3 districts of Kandal province), to assess the capacity of the epidemiological system to sustain JEV transmission in villages in the 3 districts (based on R0), and to quantify human exposure. Changes in farm density and agricultural practices, or epizootics (e.g., African swine fever), can profoundly alter the composition of host communities, which could affect JEV transmission and its impact on human health: we used the model to analyze how host community composition affected R0 and human exposure. Lastly, we evaluated the potential use of dog JE seroprevalence as an indicator of human exposure to JEV. In the modeled villages, the calculated R0 ranged from 1.07 to 1.38. Predicted annual probability of human exposure ranged from 9% to 47%, and predicted average age at infection was low, between 2 and 11 years old, highlighting the risk of severe forms of JEV infection and the need to implement vaccination of children. According to the model, increasing the proportion of competent hosts induced a decrease in age at infection. Finally, the annual human exposure probability appeared linearly correlated with dog seroprevalence, suggesting that in our specific study area, dog seroprevalence would be a good proxy for human exposure. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"b4921423-631c-401f-8280-df9a64e38401","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6f53ca34b2a1418ba051e98d24f28d1a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"b4921423-631c-401f-8280-df9a64e38401","Title":"Dr.","FirstName":"Helena","LastName":"Ladreyt","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ladreyt H"},{"PresentationId":"b4921423-631c-401f-8280-df9a64e38401","Title":"Dr.","FirstName":"Véronique","LastName":"Chevalier","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Chevalier V"},{"PresentationId":"b4921423-631c-401f-8280-df9a64e38401","Title":"Dr.","FirstName":"Benoit","LastName":"Durand","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Durand B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b4921423-631c-401f-8280-df9a64e38401","Number":1,"Affiliation":"Cirad","City":"Montpellier","State":null,"Country":"France","AffiliationDisplay":"Cirad, Montpellier, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b4921423-631c-401f-8280-df9a64e38401","Number":2,"Affiliation":"Anses","City":"Maisons-Alfort","State":null,"Country":"France","AffiliationDisplay":"Anses, Maisons-Alfort, France"}],"AuthorsHtml":"Ladreyt H1, Chevalier V1, Durand B2","AffiliationsHtml":"
1Cirad, Montpellier, France
2Anses, Maisons-Alfort, France
"}],"DisplayName":"Helena Ladreyt","TimeDisplay":null},{"ContactId":"a9482f43-0555-4989-a2ad-ba03e91d554c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marie-Eve","LastName":"Lambert","Position":null,"Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The risk of disease introduction in breeding herds in Quebec, Canada: what about the visitors entering the units and the biosecurity at the entrance?","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"67a9b555-30c0-473c-8936-160c7c8a4e74","Html":null,"PlainText":"Objectives
The objectives of the current study were to describe the visitor contacts with swine breeding units over a one-month period and to evaluate the association between the number of contacts and biosecurity practices.

Materials and methods
As part of a larger project, breeding sites having had a porcine reproductive and respiratory syndrome virus introduction between August 1, 2014 and July 31, 2017 were selected. Data on accesses to the unit by visitors and associated biosecurity practices were collected using a questionnaire and logbooks. The percentage of sites visited by different categories of visitors and the number of contacts defined as the number of entries in units by visitors over the one-month period were calculated. The associations between the median number of contacts and specific biosecurity practices at the entrance were evaluated using Wilcoxon rank sum tests.

Results
The 84 sites investigated had a 675 median sow inventory. Most were farrow-to-wean (74%) and half of them were from an integrated swine production system. A total of 73 (87%) sites received visitors. The median (Q1-Q3) and maximum number of distinct visitors was 3 (1-5) and 13, respectively. The percentages of sites visited by different categories of visitors were: technical services (73%), maintenance (51%), exterminator (48%), veterinarian (29%), teaching/training/research (14%), washing unit teams (12%), inspection/certification (8%) and others (8%). A higher number of contacts was observed for sites with larger sow inventory or from integrated production systems. Sites with >5 visitor contacts had better biosecurity at the entrance (main door looked, signed logbook, shower-in or delimited entrance with washing hands and changing coveralls and boots).

Conclusion
Biosecurity needs to be applied meticulously considering the significant traffic of visitors observed combined with the current threat of both endemic and exotic diseases.

Keywords
Biosecurity, Swine, Disease transmission, Disease prevention, Risk factors


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"67a9b555-30c0-473c-8936-160c7c8a4e74","Title":"Miss","FirstName":"Marie-Eve","LastName":"Lambert","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lambert M"},{"PresentationId":"67a9b555-30c0-473c-8936-160c7c8a4e74","Title":"Dr.","FirstName":"Julie","LastName":"Arsenault","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Arsenault J"},{"PresentationId":"67a9b555-30c0-473c-8936-160c7c8a4e74","Title":"Dr","FirstName":"Sylvie","LastName":"D'Allaire","Position":"3","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"D'Allaire S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"67a9b555-30c0-473c-8936-160c7c8a4e74","Number":1,"Affiliation":"Laboratoire d’épidémiologie et de médecine porcine (LEMP), Centre de recherche en infectiologie porcine et avicole (CRIPA)-FRQNT, Faculty of veterinary medicine, Université de Montréal","City":"Saint-Hyacinthe","State":"Quebec","Country":"Canada","AffiliationDisplay":"Laboratoire d’épidémiologie et de médecine porcine (LEMP), Centre de recherche en infectiologie porcine et avicole (CRIPA)-FRQNT, Faculty of veterinary medicine, Université de Montréal, Saint-Hyacinthe Quebec, Canada"}],"AuthorsHtml":"Lambert M1, Arsenault J1, D'Allaire S1","AffiliationsHtml":"
1Laboratoire d’épidémiologie et de médecine porcine (LEMP), Centre de recherche en infectiologie porcine et avicole (CRIPA)-FRQNT, Faculty of veterinary medicine, Université de Montréal, Saint-Hyacinthe Quebec, Canada
"}],"DisplayName":"Marie-Eve Lambert","TimeDisplay":null},{"ContactId":"e9233928-9bc0-4719-b4d9-be8f3834c987","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ryan","LastName":"LaPenna","Position":"","Organization":"University of Western Ontario","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessment of Rabies Control in Rural Areas in Victoria Falls, Zimbabwe ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"26d7096e-da0d-4d6e-b855-74ce32a2ffb5","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Html":null,"PlainText":"Objective(s): This study aimed to determine the rabies immune status among rural dogs and collect information about Knowledge, Attitude and Practices (KAP) to better understand behaviours and interactions between dogs, people, and wildlife in rural Victoria Falls (VF), Zimbabwe.

Materials and methods: From October–November 2020, blood was collected from a sample of 500 dogs for rabies serology testing during an annual rabies vaccination campaign in rural areas in VF. 498 of the 500 dog sera samples were tested successfully for rabies antibodies at the Onderstepoort Veterinary Institute, South Africa using the Rabies BioPro ELISA test kit. A protective rabies antibody titer was defined as a titer ≥0.5 IU/mL. Additionally, a KAP survey was implemented among dog owners (n=342) to collect information about the dog demographics, rabies vaccination history, and health behaviours in this community. KAP survey and serology data were merged for each dog sampled. Multivariable logistic regression was used to evaluate associations between protective rabies antibody status and selected risk factors at time of sampling. Data was analyzed using Stata16.

Results: At time of sampling in 2020, 32.1% (160/498) of dogs had protective rabies antibodies (PrAbs). Among previously vaccinated dogs, 44.8% (133/297) had PrAbs. The proportion of dogs with PrAbs decreased with time since vaccination, with <1 year (87.5%), 1-2 years (45.1%) and >2 years (31.2%). The odds of having PrAbs at time of sampling was significantly associated with a dog being previously vaccinated against rabies (p<0.001, OR 5.1, 95% CI:3.1–8.3), age (p=0.042, OR 1.1, 95% CI:1.0–1.2), body condition (p=0.043, OR 8.6, 95% CI:1.1–69.3) and among dogs not used for herding cattle (p=0.011, OR 1.9, 95% CI:1.2–3.0).

Conclusion: Our findings support maintaining the current policy of annual rabies vaccinations in this area to protect dogs and thus prevent human infection and deaths.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Title":"Mr.","FirstName":"Ryan","LastName":"LaPenna","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"LaPenna R"},{"PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Title":"Dr","FirstName":"Isaac","LastName":"Moyo","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Moyo I"},{"PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Title":"Dr","FirstName":"Chris","LastName":"Foggin","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Foggin C"},{"PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Title":"Ms","FirstName":"Jessica","LastName":"Dawson","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Dawson J"},{"PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Title":"Dr","FirstName":"Claude","LastName":"Sabeta","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Sabeta C"},{"PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Title":"Dr","FirstName":"Francisco","LastName":"Olea Popelka","Position":null,"Affiliations":"1,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Olea Popelka F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Number":1,"Affiliation":"Pathology and Laboratory Medicine, Western University","City":"London","State":"Ontario","Country":"Canada","AffiliationDisplay":"Pathology and Laboratory Medicine, Western University, London Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Number":2,"Affiliation":"Veterinarians for Animal Welfare Zimbabwe","City":"Victoria Falls","State":null,"Country":"Zimbabwe","AffiliationDisplay":"Veterinarians for Animal Welfare Zimbabwe, Victoria Falls, Zimbabwe"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Number":3,"Affiliation":"Victoria Falls Wildlife Trust","City":"Victoria Falls","State":null,"Country":"Zimbabwe","AffiliationDisplay":"Victoria Falls Wildlife Trust, Victoria Falls, Zimbabwe"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Number":4,"Affiliation":"Agricultural Research Council, Onderstepoort Veterinary Institute","City":"Pretoria","State":null,"Country":"South Africa","AffiliationDisplay":"Agricultural Research Council, Onderstepoort Veterinary Institute, Pretoria, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"57ac6cd0-2286-44e3-8c5e-1315420d4d66","Number":5,"Affiliation":"Epidemiology and Biostatistics, Western University","City":"London","State":"Ontario","Country":"Canada","AffiliationDisplay":"Epidemiology and Biostatistics, Western University, London Ontario, Canada"}],"AuthorsHtml":"LaPenna R1, Moyo I2, Foggin C2, Dawson J3, Sabeta C4, Olea Popelka F1,5","AffiliationsHtml":"
1Pathology and Laboratory Medicine, Western University, London Ontario, Canada
2Veterinarians for Animal Welfare Zimbabwe, Victoria Falls, Zimbabwe
3Victoria Falls Wildlife Trust, Victoria Falls, Zimbabwe
4Agricultural Research Council, Onderstepoort Veterinary Institute, Pretoria, South Africa
5Epidemiology and Biostatistics, Western University, London Ontario, Canada
"}],"DisplayName":"Ryan LaPenna","TimeDisplay":null},{"ContactId":"604b1822-edf4-400d-a17b-7c270e24c722","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Andrew","LastName":"Larkins","Position":"Phd Candidate | Research Assistant","Organization":"Murdoch University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Combining census data and qualitative workshops to map the risk of Taenia solium in three northern provinces of Lao PDR","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3d5c5931-1ee5-4c35-b571-341c8da69512","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.D - Risk assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Html":null,"PlainText":"Keywords:
One Health, risk analysis, Taenia solium, cysticercosis, neglected tropical diseases

Objective:
The objective of this study was to trial different methodologies to identify high-risk areas for T. solium in three provinces in northern Laos to inform national planning and provide a sampling frame for upcoming One Health interventions.

Materials and methods:
The first approach examined national census data using multi-criteria decision analysis to map the risk of T. solium at district and village levels. The second approach involved qualitative workshops with government stakeholders. Agreement between the two methods was assessed using the kappa statistic, with the agreed results providing the sampling frame for interventions. Results will be validated by biological sampling conducted in late-2022.

Results:
Census analysis classified 27% of districts and 38% of villages in the target provinces as high risk. District risk ratings from the first two of three provincial workshops were consistent with census results in 16/20 districts and 141/191 villages. These ratings resulted in a kappa statistic of 0.60 (95% CI: 0.13-0.89) at the district level and 0.48 (95% CI: 0.34-0.60) at the village level. This suggests there is moderate agreement between the methods at this stage. Results from the remaining workshop and further analysis are expected by mid-2022.

Conclusion:
This study demonstrates that the application of simple, rapid, and accessible techniques may provide decision-makers with sufficient information to identify high-risk areas for T. solium. This work allows for organisations to begin assessing the feasibility of potential control programmes and select initial target areas without the immediate need for large prevalence surveys based on biological sampling. This combination of census data and provincial workshops is unique and has not been applied in other attempts to map the risk of T. solium.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Title":"Dr.","FirstName":"Andrew","LastName":"Larkins","Position":"Phd Candidate | Research Assistant","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Larkins A"},{"PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Title":"Dr","FirstName":"Malavanh","LastName":"Chittavong","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Chittavong M"},{"PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Title":"Ms.","FirstName":"Mieghan","LastName":"Bruce","Position":"Senior Lecturer Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Bruce M"},{"PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Title":"Dr","FirstName":"Davina","LastName":"Boyd","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Boyd D"},{"PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Title":"Dr","FirstName":"Kevin","LastName":"Bardosh","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Bardosh K"},{"PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Title":"Dr","FirstName":"Amanda","LastName":"Ash","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Ash A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Number":1,"Affiliation":"Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University","City":"Perth","State":null,"Country":"Australia","AffiliationDisplay":"Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Perth, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Number":2,"Affiliation":"Faculty of Agriculture, National University of Lao PDR","City":"Vientiane","State":null,"Country":"Lao PDR","AffiliationDisplay":"Faculty of Agriculture, National University of Lao PDR, Vientiane, Lao PDR"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Number":3,"Affiliation":"Centre for Sustainable Farming Systems, Food Futures Institute, Murdoch University","City":"Perth","State":null,"Country":"Australia","AffiliationDisplay":"Centre for Sustainable Farming Systems, Food Futures Institute, Murdoch University, Perth, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5e501686-d1d9-44ee-9700-01f14a6459a3","Number":4,"Affiliation":"Center for One Health Research, School of Public Health, University of Washington","City":"Seattle","State":null,"Country":"USA","AffiliationDisplay":"Center for One Health Research, School of Public Health, University of Washington, Seattle, USA"}],"AuthorsHtml":"Larkins A1, Chittavong M2, Bruce M1, Boyd D3, Bardosh K4, Ash A1","AffiliationsHtml":"
1Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Perth, Australia
2Faculty of Agriculture, National University of Lao PDR, Vientiane, Lao PDR
3Centre for Sustainable Farming Systems, Food Futures Institute, Murdoch University, Perth, Australia
4Center for One Health Research, School of Public Health, University of Washington, Seattle, USA
"}],"DisplayName":"Andrew Larkins","TimeDisplay":null},{"ContactId":"81f387ff-5216-41e3-99d4-97e37ca889e8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Eve-Marie","LastName":"Lavallée-Bourget","Position":"","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Estimated prevalence of parasites of the genus Echinococcus in wild canids in southern Québec, Canada","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f124a13e-54a1-4813-86cf-e88da83548c2","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.E - Epidemiology of emerging/zoonotic diseases","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"cac3729a-d72e-4c0d-bbf3-bcf37bb2da09","Html":null,"PlainText":"Objectives: Echinococcus spp., including E. multilocularis, are two zoonotic parasites spread by wild canids which exhibit spatial expansion and emergence in North America. Given that they can cause severe lesions and mortality in the absence of treatment, the recent detection of the first human case of E. multilocularis in Québec raises significant public health concerns. This project aims to estimate the prevalence of parasites of the genus Echinococcus in coyotes (Canis Iatrans) and red foxes (Vulpes vulpes) near inhabited areas in Québec and to describe their geographic distribution.

Material and Methods: A cross-sectional observational study was conducted on 423 coyote carcasses and 284 red fox carcasses collected in Québec (Canada) during winter 2020-2021. Coproscopy identifying gastrointestinal parasites and an RT-PCR (Echinococcus RealPCR™ Panel IDEXX Laboratories) for the detection of Echinococcus spp. and E. multilocularis were performed on feces. The distribution of carcasses according to their Echinococcus status was mapped and the presence of clusters of infection was assessed with the Kulldorff spatial scan test. Associations between infection status and sex, species, and carcass location were estimated with a logistic regression model.

Results: A total of 38 positive cases of Echinococcus spp. and 25 of E. multilocularis were detected by RT-PCR. Two clusters with higher risk of infection have been identified in Montérégie and Bas St-Laurent. The logistic regression model did not show statistically significant association between the variables.

Conclusion: This study demonstrates that Echinococcus is present in Québec and highlights the importance of implementing preventive measures to limit humans and domestic animals transmission and raise awareness among most at risk populations.

Keywords : Echinococcosis, Echinococcus multilocularis, Quebec, Prevalence, Wildlife","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cac3729a-d72e-4c0d-bbf3-bcf37bb2da09","Title":"Miss","FirstName":"Eve-Marie","LastName":"Lavallée-Bourget","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lavallée-Bourget E"},{"PresentationId":"cac3729a-d72e-4c0d-bbf3-bcf37bb2da09","Title":null,"FirstName":"Christopher","LastName":"Fernandez-Prada","Position":"Co-director","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Fernandez-Prada C"},{"PresentationId":"cac3729a-d72e-4c0d-bbf3-bcf37bb2da09","Title":null,"FirstName":"Patricia","LastName":"Turgeon","Position":"Supervisor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Turgeon P"},{"PresentationId":"cac3729a-d72e-4c0d-bbf3-bcf37bb2da09","Title":null,"FirstName":"Ariane","LastName":"Massé","Position":"Supervisor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Massé A"},{"PresentationId":"cac3729a-d72e-4c0d-bbf3-bcf37bb2da09","Title":"Mrs.","FirstName":"Julie","LastName":"Arsenault","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Arsenault J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cac3729a-d72e-4c0d-bbf3-bcf37bb2da09","Number":1,"Affiliation":"Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP) and department of pathology and microbiology, Faculty of Veterinary Medicine, University of Montréal","City":"Saint-Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP) and department of pathology and microbiology, Faculty of Veterinary Medicine, University of Montréal, Saint-Hyacinthe Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cac3729a-d72e-4c0d-bbf3-bcf37bb2da09","Number":2,"Affiliation":"Ministry of Forests, Wildlife and Parks of Québec","City":"Québec","State":"Québec","Country":"Canada","AffiliationDisplay":"Ministry of Forests, Wildlife and Parks of Québec, Québec Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cac3729a-d72e-4c0d-bbf3-bcf37bb2da09","Number":3,"Affiliation":"Public Health Agency of Canada","City":"Saint-Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Saint-Hyacinthe Québec, Canada"}],"AuthorsHtml":"Lavallée-Bourget E1, Fernandez-Prada C1, Turgeon P3, Massé A2, Arsenault J1","AffiliationsHtml":"
1Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP) and department of pathology and microbiology, Faculty of Veterinary Medicine, University of Montréal, Saint-Hyacinthe Québec, Canada
2Ministry of Forests, Wildlife and Parks of Québec, Québec Québec, Canada
3Public Health Agency of Canada, Saint-Hyacinthe Québec, Canada
"}],"DisplayName":"Eve-Marie Lavallée-Bourget","TimeDisplay":null},{"ContactId":"cfa9731e-5450-4607-a83e-9c3a0b8e4042","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Maddy","LastName":"Lazurko","Position":"Graduate Student","Organization":"Western College of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/286c80278dba463da8a48f037722d5cb","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/maddy-lazurko-427b07156","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/maddy-lazurko-427b07156","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/maddy-lazurko-427b07156","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/maddy-lazurko-427b07156","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Prevalence and antimicrobial susceptibility of BRD pathogens: P. multocida, M. haemolytica, and H. somni isolated from calves at weaning in western Canadian cow-calf herds","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a31a58e0-bb2d-45a1-a91b-1b902929cd8d","Html":null,"PlainText":"Objective: Antimicrobial resistance (AMR) in bovine respiratory disease (BRD) pathogens is of growing concern in western Canadian beef feedlots, however little information is known regarding the pathogen load and AMR profile of calves in cow-calf herds. The aim of this study was to determine the prevalence and AMR profile of Pasteurella multocida (PM), Mannheimia haemolytica (MH), and Histophilus somni (HS) isolated from calves prior to feedlot entry.

Materials and methods: Calves from 27 cow-calf operations in western Canada were sampled at or near weaning with deep nasopharyngeal swabs (n=26 calves per herd). Samples (n=695) were cultured, and isolates were tested for antimicrobial sensitivity using broth microdilution. Sensitivity was classified according to minimum inhibitory concentrations (MIC) using CLSI breakpoints.

Results: The prevalence of PM, MH and HS isolated from the 695 individual calf samples was 0.28 (196 isolates), 0.10 (71 isolates) and 0.02 (14 isolates) respectively. Seventeen (8.7%) PM isolates were classified as resistant against penicillins (11 isolates), tetracyclines (5 isolates), aminocyclitols (4 isolates), and macrolides (4 isolates). One (0.5%) PM isolate was classified as intermediate to florfenicols and three (1.5%) to penicillins. No MH or HS isolates were classified as resistant; however, 6 (8.4%) MH isolates were classified as intermediate to either penicillins (3 isolates), macrolides (2 isolates) or aminoglycosides (1 isolate). Three (21.4%) HS isolates were classified as intermediate to macrolides. Multidrug resistance (MDR) was seen in 5 (2.6%) PM isolates (4 isolates from the same herd), and no MRD was seen in MH or HS. Metagenomic sequencing of pooled herd samples is currently being conducted with more results to come.

Conclusion: The results of our investigation suggest the prevalence of AMR and MDR bacterial respiratory pathogens in western Canadian calves, prior to feedlot entry, is low.

Key words: antimicrobial resistance, bovine respiratory disease, cow-calf
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a31a58e0-bb2d-45a1-a91b-1b902929cd8d","Title":"Dr.","FirstName":"Maddy","LastName":"Lazurko","Position":"Graduate Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lazurko M"},{"PresentationId":"a31a58e0-bb2d-45a1-a91b-1b902929cd8d","Title":"Dr.","FirstName":"John","LastName":"Campbell","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Campbell J"},{"PresentationId":"a31a58e0-bb2d-45a1-a91b-1b902929cd8d","Title":"Dr","FirstName":"Sheryl","LastName":"Gow","Position":"Veterinary Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Gow S"},{"PresentationId":"a31a58e0-bb2d-45a1-a91b-1b902929cd8d","Title":"Dr.","FirstName":"Nathan","LastName":"Erickson","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Erickson N"},{"PresentationId":"a31a58e0-bb2d-45a1-a91b-1b902929cd8d","Title":"Dr.","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Waldner C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a31a58e0-bb2d-45a1-a91b-1b902929cd8d","Number":1,"Affiliation":"Large Animal Clinical Sciences, Western College of Veterinary Medicine","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon SK, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a31a58e0-bb2d-45a1-a91b-1b902929cd8d","Number":2,"Affiliation":"Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS), Public Health Agency of Canada","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS), Public Health Agency of Canada, Saskatoon SK, Canada"}],"AuthorsHtml":"Lazurko M1, Campbell J1, Gow S2, Erickson N1, Waldner C1","AffiliationsHtml":"
1Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon SK, Canada
2Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS), Public Health Agency of Canada, Saskatoon SK, Canada
"}],"DisplayName":"Maddy Lazurko","TimeDisplay":null},{"ContactId":"d28b0938-4d43-4ec9-b192-d145dd43388b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mily","LastName":"Leblanc-Maridor","Position":"Lecturer-researcher","Organization":"Inrae, Oniris","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Participatory approach in animal health: when veterinarians adopt a facilitator posture","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"3b309cff-3077-4c13-8913-0dfd18d485ae","Html":null,"PlainText":"1.\tObjective
Veterinarians are identified by livestock farmers as major advisors regarding health management, even though animal health depends on many factors on which other agricultural counselors can interfere. Their scientific knowledge often prompts them to adopt an expert posture whereas livestock farmers also are in demand of discussions about practices.
Within a European research program on animal health in ruminants and monogastric sectors conducted in western France, an experiment was launched to test the utility of livestock farmers meetings facilitated by vets.
2.\tMaterials and methods
Vets were previously trained on facilitation methods before organizing by themselves meetings on animal health with their clientele, whose topics were either chosen by them or the farmers. Each meeting was assessed by three methods: i) meeting’s observation, ii) a questionnaire form proposed right after the session, and iii) semi-directed interviews performed later on by the research team. Our analysis material encompasses 7 meetings, attended by 23 livestock farmers and 8 vets.
3.\tResults
Four types of meetings appear, from mostly participatory ones to meetings with a significant amount of top-down information times. The vet’s initial motivations impacted both the farmers’ recruitment and the meeting program. The posture of expert-facilitator contributed to a group dynamic based on a horizontality of exchanges, enabling cooperative learning. Besides, since they knew the participants’ farms, vets were perceived as legitimate in the animation of the meetings, and these ones complementary to their on-farm interventions. This device allowed vets to better understand their livestock farmers’ practices and to reinforce their relationship with them.
4.\tConclusion
The changing posture of veterinarians therefore brings new perspectives for health management, since this original intervention mode both comfort their scientific legitimacy and their ability to understand the farmers' points of view on health practices.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3b309cff-3077-4c13-8913-0dfd18d485ae","Title":"Mrs.","FirstName":"Annie","LastName":"Sigwalt","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":1,"DisplayName":"Sigwalt A"},{"PresentationId":"3b309cff-3077-4c13-8913-0dfd18d485ae","Title":"Dr","FirstName":"Soazig","LastName":"Di Bianco","Position":"Lecturer-researcher","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Di Bianco S"},{"PresentationId":"3b309cff-3077-4c13-8913-0dfd18d485ae","Title":"Mrs","FirstName":"Justine","LastName":"Defois","Position":"Lecturer-researcher","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Defois J"},{"PresentationId":"3b309cff-3077-4c13-8913-0dfd18d485ae","Title":"Mrs","FirstName":"Aurore","LastName":"Wache Duvauchelle","Position":"Chargée de projet","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Wache Duvauchelle A"},{"PresentationId":"3b309cff-3077-4c13-8913-0dfd18d485ae","Title":"Dr.","FirstName":"Claire","LastName":"Manoli","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Manoli C"},{"PresentationId":"3b309cff-3077-4c13-8913-0dfd18d485ae","Title":"Dr.","FirstName":"Mily","LastName":"Leblanc-Maridor","Position":"Lecturer-researcher","Affiliations":null,"IsPresenting":true,"SortOrder":6,"DisplayName":"Leblanc-Maridor M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3b309cff-3077-4c13-8913-0dfd18d485ae","Number":1,"Affiliation":"Ecole Supérieure D'agricultures D'angers","City":"Angers","State":"Pays De La Loire","Country":"France","AffiliationDisplay":"Ecole Supérieure D'agricultures D'angers, Angers Pays De La Loire, France"}],"AuthorsHtml":"Sigwalt A, Di Bianco S, Defois J, Wache Duvauchelle A, Manoli C, Leblanc-Maridor M","AffiliationsHtml":"
1Ecole Supérieure D'agricultures D'angers, Angers Pays De La Loire, France
"},{"Title":"Participatory approach: a way to improve farmer’s animal health management ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7346e8bb-cb44-4226-806d-b3ebd0891451","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Html":null,"PlainText":"1-Objectives
Through the evaluation of farmers' participatory meetings led by their veterinarians on animal health topics, the objectives of this study are: (i) to see how the organization modalities influence the satisfaction, the learning and the behaviors of the farmers, (ii) to understand which are the main important factors that play a role between meetings’ organization modalities and individual or situational factors, and (iii) to define if and how this type of device should be continued.

2-Material and methods
Each of the seven participatory meetings organized within a European research program was assessed by three methods: (i) a meeting’s observation performed by an external observator, (ii) a questionnaire form proposed right after the meeting and (ii) a qualitative semi-directive interview performed later with 23 farmers, and 8 vets.

3-Results
The overall perception of this approach was very positive, even though we noticed that various factors can impact the satisfaction and the learning effects, such as how is the meeting organized, how the group cooperates, how the facilitator interacts with the group.

All farmers enjoyed the dynamic exchange between the participants and with the vet. Vets were appreciated since they could give them preventive keys through top-down information, knowledge to make reminders about health management, and create learning on certain concepts by fostering exchanges between peers.

The results showed also that the modalities of the meetings mainly influence the satisfaction, the learning process and the intention of farmers, whereas the onward changes in farmer’s behavior and practices rather depend on individual and situational factors, specific to the farmer and his farm.

4-Conclusion
This participatory approach has been demonstrated to be a new way to improve farmer’s herd health management. In the future, adjustments are needed especially for a better transfer of learning by providing a personalized support post-meeting by the veterinarian.



","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Title":"Dr.","FirstName":"Mily","LastName":"Leblanc-maridor","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Leblanc-maridor M"},{"PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Title":null,"FirstName":"Justine","LastName":"Defois","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Defois J"},{"PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Title":null,"FirstName":"Aurore","LastName":"Wache-Duvauchelle","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Wache-Duvauchelle A"},{"PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Title":null,"FirstName":"Soazig","LastName":"Di Bianco","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Di Bianco S"},{"PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Title":null,"FirstName":"Annie","LastName":"SIgwalt","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"SIgwalt A"},{"PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Title":null,"FirstName":"Claire","LastName":"Manoli","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Manoli C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Number":1,"Affiliation":"Inrae, Oniris, BIOEPAR","City":"Nantes","State":null,"Country":"France","AffiliationDisplay":"Inrae, Oniris, BIOEPAR, Nantes, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Number":2,"Affiliation":"Ecole Supérieure d'Agriculture d'Angers, Unité USC","City":"Angers","State":null,"Country":"France","AffiliationDisplay":"Ecole Supérieure d'Agriculture d'Angers, Unité USC, Angers, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Number":3,"Affiliation":"Institut de l'élevage","City":"Beaucouzé","State":null,"Country":"France","AffiliationDisplay":"Institut de l'élevage, Beaucouzé, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b945ba19-9277-4d06-8bf6-7b1931605bfd","Number":4,"Affiliation":"Ecole Supérieure d'Agriculture d'Angers, Unité LARESS","City":"Angers","State":null,"Country":"France","AffiliationDisplay":"Ecole Supérieure d'Agriculture d'Angers, Unité LARESS, Angers, France"}],"AuthorsHtml":"Leblanc-maridor M1, Defois J2, Wache-Duvauchelle A3, Di Bianco S4, SIgwalt A4, Manoli C2","AffiliationsHtml":"
1Inrae, Oniris, BIOEPAR, Nantes, France
2Ecole Supérieure d'Agriculture d'Angers, Unité USC, Angers, France
3Institut de l'élevage, Beaucouzé, France
4Ecole Supérieure d'Agriculture d'Angers, Unité LARESS, Angers, France
"}],"DisplayName":"Mily Leblanc-Maridor","TimeDisplay":null},{"ContactId":"ca96743e-3038-4744-8489-8808f1a9d4c9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kyuyoung","LastName":"Lee","Position":"Postdoctoral Researcher","Organization":"University of California","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0b9bebb331ae4fb2a68ba6550ace9de4","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Application Bayesian phylogeography and balanced sub-sampling for investigation of cross-regional spread and evolution of equine influenza H3N8 at US and global scales","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c4bcecfd-5953-4a5c-9d0c-254c3d6bae5f","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Html":null,"PlainText":"Objective(s): The present study aimed to identify the cross-regional spread and molecular evolution of equine influenza virus (EIV) H3N8 at US and global scales using Bayesian phylogeography coupled with balanced subsampling.
Materials and methods: A total of 297 haemagglutinin (HA) genomes of EIV H3N8 were included in the study. Balanced subsampling of HA genome sequences was performed based on five global and four US regional horse population size. Bayesian phylogeographic analyses were performed to estimate raw global (n=297), subset global (n=67), raw US (n=100) and subset US (n=44) phylogeography. The study also estimated global and local selection pressure of the HA genome sequences composed of 508 amino acids.
Results: This study found multiple cross-regional EIV H3N8 spread at US and global scales and the antigenic drift in key antigenic sites of the HA gene. Globally dominant EIV variants were mostly emerged from the North American region and spread to other four global regions. US EIV strains generally spread from Southern or Midwestern regions to other regions. The HA gene of EIV H3N8 accumulated approximately three nucleotide substitutions per year under heterogenous local positive selection.
Conclusions: This study provides a better understanding of global and US spread and evolutionary characteristics of EIV H3N8 in order to perform cost-effective target intervention and surveillance and help to apply the genomic epidemiology to the US and global equine industry.
Key words: equine influenza; phylogeography; evolution; balanced subsampling; selection pressure","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e68d0ac5c042461cb0ed3f09bd204c54","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Title":"Dr.","FirstName":"Kyuyoung","LastName":"Lee","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lee K"},{"PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Title":"Prof.","FirstName":"Nicola","LastName":"Pusterla","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Pusterla N"},{"PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Title":null,"FirstName":"Samantha M. ","LastName":"Barnum","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Barnum S"},{"PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Title":"Prof.","FirstName":"Dong-hun","LastName":"Lee","Position":"Assistant Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Lee D"},{"PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Title":"Prof.","FirstName":"Beatriz","LastName":"Martínez-López","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Martínez-López B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Number":1,"Affiliation":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Number":2,"Affiliation":"Department of Medicine & Epidemiology, School Veterinary Medicine, University of California","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Department of Medicine & Epidemiology, School Veterinary Medicine, University of California, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"49051b78-15d5-4d21-a2ed-69957335c053","Number":3,"Affiliation":"Department of Pathobiology and Veterinary Science, the University of Connecticut","City":"Storrs","State":"CT","Country":"USA","AffiliationDisplay":"Department of Pathobiology and Veterinary Science, the University of Connecticut, Storrs CT, USA"}],"AuthorsHtml":"Lee K1, Pusterla N2, Barnum S2, Lee D3, Martínez-López B1","AffiliationsHtml":"
1Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis CA, USA
2Department of Medicine & Epidemiology, School Veterinary Medicine, University of California, Davis CA, USA
3Department of Pathobiology and Veterinary Science, the University of Connecticut, Storrs CT, USA
"}],"DisplayName":"Kyuyoung Lee","TimeDisplay":null},{"ContactId":"ca4a4969-ed38-402c-a0a3-037144adab9e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"David","LastName":"Leger","Position":"Veterinary Epidemiologist","Organization":"Public Health Agency of Canda","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Standardization of veterinary drug dispensing data for antimicrobial use estimation in Canadian dairy herds","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2ce9a0a4-1e0a-44f2-ba5c-c3f937a53462","Html":null,"PlainText":"Introduction
Herd-level veterinary dispensing data provide a good surrogate measure of antimicrobial consumption in an industry sector. The Canadian Dairy Network for Antimicrobial Stewardship and Resistance (CaDNetASR) will provide herd-level estimates of antimicrobial use (AMU) derived from veterinary dispensing data. There is no established standard as to how drug products are listed in veterinary practice inventory management systems, which results in significant diversity in product identification when comparing clinic dispensing data.
Objective
To describe efforts in establishing methods for data standardization of veterinary dispensing data and to facilitate linkage to active ingredient level data necessary for AMU quantification.
Materials and Methods
Elements of the Drug Product Database (DPD), Health Canada, were extracted and merged to create a cattle-specific DPD, the backbone for data standardization. The DPD includes active antimicrobial ingredient (AAI) information for all approved products. To link DPD AAI information to veterinary dispensing data the product name and format size of antimicrobial products dispensed to farms were extracted as a concatenation (Python 3.9). To ensure correct product-AAI linkages for the different clinic product references, a “thesaurus” of product concatenations was built from submitted trial data.
Results
The creation of a thesaurus of veterinary dispensed products facilitated accurate linkage to AAI information held in the DPD, resulting in a dependable data standard. These data contribute to the derivation of indicators of AMU, and temporal and spatial trend analyses for these parameters. Examples of data transformations to be provided.
Conclusion
The diversity of veterinary dispensing data notwithstanding, herd-level data can be standardized and linked to AAI information for further analyses and quantification. Information on industry trends in AMU will support enhanced antimicrobial stewardship in the Canadian dairy sector.
Keywords: Dairy, antimicrobial use, standardization ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2ce9a0a4-1e0a-44f2-ba5c-c3f937a53462","Title":"Mr.","FirstName":"David","LastName":"Leger","Position":"Veterinary Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Leger D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2ce9a0a4-1e0a-44f2-ba5c-c3f937a53462","Number":1,"Affiliation":"Public Health Agency Of Canada","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Public Health Agency Of Canada, Guelph ON, Canada"}],"AuthorsHtml":"Leger D1","AffiliationsHtml":"
1Public Health Agency Of Canada, Guelph ON, Canada
"}],"DisplayName":"David Leger","TimeDisplay":null},{"ContactId":"473a81bf-adc8-48fb-8072-8d0e14ce1518","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Morgan","LastName":"Lehmann","Position":"Undergraduate Summer Student","Organization":"Western College of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c7bf151d81434ac5be23f4e5b45da085","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Detecting Mycoplasma bovis in pooled respiratory samples from cattle","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"94977cfa-1c7b-4638-baa1-6a5f5aa46618","Html":null,"PlainText":"Objective
Mycoplasma bovis is a bacterial pathogen contributing to Bovine Respiratory Disease (BRD). Prevalence of M. bovis can be useful to predict the risk of BRD; however, individual sample analysis is costly and time consuming. Our objective was to determine whether sample pooling accurately identifies the pathogen load of this organism in respiratory samples from a given population. We hypothesized that testing pooled samples may allow for faster and more economically efficient detection of low prevalence pathogens.

Materials and methods:
1600 deep nasopharyngeal swabs were collected from newly arrived feedlot calves with mixed backgrounds. Raw samples were sequentially combined into pools of 10 (n=160) as the sample were initially processed irrespective of individual sample pathogen status. DNA from individual and pooled samples was extracted for comparison by a probe-based real-time quantitative PCR assay. Serial titration determined a limit of detection of 10-100 bacterial genome copies. Culture results from PCR positive samples and a random subset of PCR negative samples are pending.

Preliminary results:
We detected Mycoplasma bovis in 17 of 47 pools that contained at least 1 sample that was positive based on individual PCR. Limited sensitivity is likely due to low detectable pathogen load across most individual samples in this healthy near arrival population combined with a dilution effect of sample pooling. The introduction of PCR inhibitors from one or more samples of the 10 is also possible.

Conclusion:
While pooling strategies may be an effective way to identify the presence of M. bovis, improving the speed and decreasing the costs associated with sample processing, smaller pool sizes might allow for better sensitivity. This strategy could allow us to determine presence and prevalence of this pathogen agent and provide additional data for risk assessment in on-arrival feedlot cattle.

Keywords: Mycoplasma bovis, pooling, rt-qPCR, cattle","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"94977cfa-1c7b-4638-baa1-6a5f5aa46618","Title":"Ms.","FirstName":"Morgan","LastName":"Lehmann","Position":"Undergraduate Summer Student","Affiliations":"1","IsPresenting":true,"SortOrder":0,"DisplayName":"Lehmann M"},{"PresentationId":"94977cfa-1c7b-4638-baa1-6a5f5aa46618","Title":"Mrs.","FirstName":"Stacey","LastName":"Lacoste","Position":"Laboratory Manager","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Lacoste S"},{"PresentationId":"94977cfa-1c7b-4638-baa1-6a5f5aa46618","Title":"Dr.","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Waldner C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94977cfa-1c7b-4638-baa1-6a5f5aa46618","Number":1,"Affiliation":"Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon SK, Canada"}],"AuthorsHtml":"Lehmann M1, Lacoste S1, Waldner C1","AffiliationsHtml":"
1Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine, Saskatoon SK, Canada
"}],"DisplayName":"Morgan Lehmann","TimeDisplay":null},{"ContactId":"6e0c2b3b-6766-4f0e-9662-3b32bd09ba37","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"William","LastName":"Leung","Position":"Phd Student","Organization":"London School Of Hygiene And Tropical Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Characterising the live pig movement network in Cambodia for epidemiological modelling","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0d26653-f709-407c-9650-59c5bc9c5f5e","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.C - Network Analysis","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Html":null,"PlainText":"An understanding of livestock movements is essential for modelling disease dynamics in livestock production systems. However, such data is lacking for pig-production in Cambodia.

Objectives: We sought to characterize the live pig-movement network in Cambodia to inform models of infectious disease transmission among pigs. Our aim was to a) identify the roles of value-chain actors by quantifying key egocentric measures, and b) infer and simulate complete (sociocentric) networks using exponential random graph models (ERGMs).

Methods: We conducted a network survey in four Cambodian provinces. Farms (n=90), smallholders (n=176), pig exchangers (n=84), and slaughterhouses (n=18) were selected through multi-stage cluster sampling, and asked to retrospectively report contacts with whom they had exchanged pigs within a set timeframe (i.e. their ‘egocentric’/‘star-labelled’ networks).

Results: Preliminary descriptive analyses suggest that commercial pig farms traded with a low diversity of value chain actors, yet were strongly connected by pig volume – purchasing and selling a median (IQR) of 1600 (530-3000), and 2500 (1200-4200) pigs in 6 months respectively. Contrastingly, smallholders traded with the greatest diversity of actors, but exchanged the smallest quantities of pigs overall, with 2 (1-4) and 4 (0-11) pigs purchased and sold within 6 months. Trade between producers was strongly assortative with respect to production type (smallholding/commercial); however, infrequent direct trades from farms to smallholders connected these contrasting production types. A range of pig exchanger roles were identified and connected different actors. While pigs were mostly moved locally - median (IQR) of 4.6km (2.6-10.4km), some movements >100km (1% of trades), including across borders, provided routes for long-range disease spread. ERGMs are now fitted to this egocentric network data.

Conclusion: This work has broad relevance to network characterisation and provides important parameters for epidemiological models; a pressing need given the recent incursion of African swine fever into Cambodia.

Keywords: Egocentric-network, swine, Cambodia, ERGM
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Title":"Mr.","FirstName":"William","LastName":"Leung","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Leung W"},{"PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Title":"Dr","FirstName":"Sokchea","LastName":"Huy","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Huy S"},{"PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Title":"Mr","FirstName":"Sina","LastName":"Vor","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Vor S"},{"PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Title":"Dr","FirstName":"Guillaume","LastName":"Fournie","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Fournie G"},{"PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Title":"Dr","FirstName":"James","LastName":"Rudge","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Rudge J"},{"PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Title":null,"FirstName":"G","LastName":"PigFluCam+ Consortium","Position":null,"Affiliations":"1,2,4,5,6","IsPresenting":false,"SortOrder":6,"DisplayName":"PigFluCam+ Consortium G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Number":1,"Affiliation":"London School Of Hygiene And Tropical Medicine","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"London School Of Hygiene And Tropical Medicine, London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Number":2,"Affiliation":"Livestock Development for Community Livelihood Organization (LDC)","City":"Phnom Penh","State":null,"Country":"Cambodia","AffiliationDisplay":"Livestock Development for Community Livelihood Organization (LDC), Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Number":3,"Affiliation":"Royal Veterinary College (RVC)","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College (RVC), London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Number":4,"Affiliation":"National Animal Health and Production Research Institute (NAHPRI)","City":"Phnom Penh","State":null,"Country":"Cambodia","AffiliationDisplay":"National Animal Health and Production Research Institute (NAHPRI), Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Number":5,"Affiliation":"Duke-NUS Medical School","City":"Singapore","State":null,"Country":"Singapore","AffiliationDisplay":"Duke-NUS Medical School, Singapore, Singapore"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9828e06a-afc4-4b9d-b663-c53610294808","Number":6,"Affiliation":"University of Health Sciences","City":"Phnom Penh","State":null,"Country":"Cambodia","AffiliationDisplay":"University of Health Sciences, Phnom Penh, Cambodia"}],"AuthorsHtml":"Leung W1, Huy S2, Vor S2, Fournie G3, Rudge J1, PigFluCam+ Consortium G1,2,4,5,6","AffiliationsHtml":"
1London School Of Hygiene And Tropical Medicine, London, United Kingdom
2Livestock Development for Community Livelihood Organization (LDC), Phnom Penh, Cambodia
3Royal Veterinary College (RVC), London, United Kingdom
4National Animal Health and Production Research Institute (NAHPRI), Phnom Penh, Cambodia
5Duke-NUS Medical School, Singapore, Singapore
6University of Health Sciences, Phnom Penh, Cambodia
"}],"DisplayName":"William Leung","TimeDisplay":null},{"ContactId":"8ebea96d-2e38-4369-ac29-8838a40c5567","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Antoine","LastName":"Levasseur","Position":"Student","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Epidemiology of West Nile virus in horses in Canada from 2003 to 2020: a look at the geographic distribution and vaccination coverage","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8273c9aa-f32b-42e4-99d9-ea43ce583761","Html":null,"PlainText":"The objectives of the study were to describe the geographic distribution over time of cases of West Nile virus (WNV) in horses reported from 2003 to 2020 in Canada and to assess the regional association between the incidence of reported cases and WNV vaccination coverage.

Cases of WNV in horses included in this study were reported to the Canadian Food Inspection Agency (CFIA) between 2003 and 2020. Cases were defined as horses with compatible neurological signs and laboratory confirmation. Cases and horse population (based on the Census of Agriculture official numbers) data were localised by consolidated census subdivisions (CCS) and analyzed to assess geographic expansion. Provincial doses of equine WNV vaccine sold in Canada between 2016 and 2020 were shared by pharmaceutical companies. The vaccination coverage was calculated as the average annual doses sold by region over the 2016 horse population for the corresponding region and was compared to the average regional incidence rates.

Between 2003 and 2020, 848 WNV cases were reported to the CFIA. Preliminary analysis showed yearly geographical variations in affected CCS. The geographic trends will be presented. Preliminary results suggest a higher vaccination coverage in the eastern region than in the western region. In contrast, for the same period, the average incidence rate was lower in the eastern region (11.47 cases/100,000 horses) than in the western region (18.36 cases/100,000 horses).

This study is the first to describe WNV cases in horses in a Canada-wide multi-year perspective, to measure potential geographical expansion and to examine vaccination as a tool to prevent clinical disease on a nationwide scale. This research also highlights the challenges and impact of the availability of population data on descriptive epidemiologic studies.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8273c9aa-f32b-42e4-99d9-ea43ce583761","Title":"Mr.","FirstName":"Antoine","LastName":"Levasseur","Position":"Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Levasseur A"},{"PresentationId":"8273c9aa-f32b-42e4-99d9-ea43ce583761","Title":"Dr.","FirstName":"Julie","LastName":"Arsenault","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Arsenault J"},{"PresentationId":"8273c9aa-f32b-42e4-99d9-ea43ce583761","Title":"Dr","FirstName":"Julie","LastName":"Paré","Position":"Epidemiologist","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Paré J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8273c9aa-f32b-42e4-99d9-ea43ce583761","Number":1,"Affiliation":"Groupe de recherche en épidémiologie des zoonoses et santé publique, Université De Montréal","City":"Saint-Hyacinthe","State":"Quebec","Country":"Canada","AffiliationDisplay":"Groupe de recherche en épidémiologie des zoonoses et santé publique, Université De Montréal, Saint-Hyacinthe Quebec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8273c9aa-f32b-42e4-99d9-ea43ce583761","Number":2,"Affiliation":"Animal Health Science Directorate, Canadian Food Inspection Agency","City":"Ottawa","State":"Ontario","Country":"Canada","AffiliationDisplay":"Animal Health Science Directorate, Canadian Food Inspection Agency, Ottawa Ontario, Canada"}],"AuthorsHtml":"Levasseur A1, Arsenault J1, Paré J1,2","AffiliationsHtml":"
1Groupe de recherche en épidémiologie des zoonoses et santé publique, Université De Montréal, Saint-Hyacinthe Quebec, Canada
2Animal Health Science Directorate, Canadian Food Inspection Agency, Ottawa Ontario, Canada
"}],"DisplayName":"Antoine Levasseur","TimeDisplay":null},{"ContactId":"5801b814-9400-42de-a343-5b9ccd306aa8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gizem","LastName":"Levent","Position":"Assistant Professor Of Epidemiology","Organization":"Texas Tech University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d5d23a1aea774500901af05e9e9c997c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A risk-based approach to generate national vulnerability scores for an unpredicted agro-crime or agro-terror event targeting animal populations","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3e92c612-9813-45ad-825f-6027761ab0ac","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.D - Risk Assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Html":null,"PlainText":"Intentional release of pathogens that target vulnerable animal populations is either an act of agro-crime or agro-terrorism, both of which may threaten peace and global health security and impose enormous economic costs on nations. With support from the Weapons Threat Reduction Programme of Global Affairs Canada, we used the World Organisation for Animal Health (OIE) risk assessment framework to generate a risk-based approach to developing vulnerability scores for 25 OIE Member Countries; initially, against four animal pathogens (Brucella abortus, highly pathogenic avian influenza virus, African swine fever virus, and food-and-mouth disease virus). We did this by focusing on the release and exposure potential of each pathogen for any given country, and considered that country’s ability to respond against pathogen incursions by quantifying their level of preparedness and resilience.

Variables to build release, exposure, preparedness, and resilience components were generated from open-source databases generated by multiple international organizations; these consisted of: 1) the number and density of the targeted animal populations, 2) availability of technical tools, veterinary services, and disease control measures applied by each country, and 3) the political, economic, and research and development capabilities of each country. Component scores for each pathogen and country were calculated using three different index construction approaches: arithmetic mean, distance matrix, and principal component analyses. An overall vulnerability score for each country and pathogen combination was derived using the final scores of each component with the formula of “(release+exposure)-(preparedness+resilience)”.

Each of the final component scores as well as the overall vulnerability scores obtained using three different methods showed highly consistent results.

In conclusion, this model may be readily modified by policymakers and national / international agencies and then used to improve risk management strategies due to its clarity and dependence on reliable and widely available databases.


Keywords: Vulnerability score, Agro-crime, Agro-terrorism, Transboundary animal diseases
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Title":"Dr.","FirstName":"Gizem","LastName":"Levent","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Levent G"},{"PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Title":"Dr.","FirstName":"Christopher","LastName":"Laine","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Laine C"},{"PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Title":"Dr.","FirstName":"Melissa","LastName":"Berquist","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Berquist M"},{"PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Title":"Mr.","FirstName":"Miguel","LastName":"Gonzalez","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Gonzalez M"},{"PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Title":"Dr.","FirstName":"Heather","LastName":"Simmons","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Simmons H"},{"PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Title":"Dr.","FirstName":"Jimmy","LastName":"Tickel","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Tickel J"},{"PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Title":"Dr.","FirstName":"Harvey","LastName":"Scott","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Scott H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Number":1,"Affiliation":"School of Veterinary Medicine, Texas Tech University","City":"Amarillo","State":"Texas","Country":"USA","AffiliationDisplay":"School of Veterinary Medicine, Texas Tech University, Amarillo Texas, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Number":2,"Affiliation":"Institute for Infectious Animal Diseases, Texas A&M AgriLife Research","City":"College Station","State":"Texas","Country":"United States","AffiliationDisplay":"Institute for Infectious Animal Diseases, Texas A&M AgriLife Research, College Station Texas, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1aa9834f-6574-432c-85db-fb0473a37d9c","Number":3,"Affiliation":"Department of Veterinary Pathobiology, Texas A&M University","City":"College Station","State":"Texas","Country":"USA","AffiliationDisplay":"Department of Veterinary Pathobiology, Texas A&M University, College Station Texas, USA"}],"AuthorsHtml":"Levent G1, Laine C3, Berquist M2, Gonzalez M2, Simmons H2, Tickel J2, Scott H3","AffiliationsHtml":"
1School of Veterinary Medicine, Texas Tech University, Amarillo Texas, USA
2Institute for Infectious Animal Diseases, Texas A&M AgriLife Research, College Station Texas, United States
3Department of Veterinary Pathobiology, Texas A&M University, College Station Texas, USA
"}],"DisplayName":"Gizem Levent","TimeDisplay":null},{"ContactId":"73d3166f-ff9e-4342-a31b-5c4983527aab","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Guillaume","LastName":"Lhermie","Position":null,"Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6db031e0ef4d4f76b25c05ac2a13ea93","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Guillaume Lhermie obtained a Doctoral degree in Veterinary Medicine at Ecole Nationale Vétérinaire de Toulouse (2005), a Master’s degree in Agricultural Economics at Montpellier Supagro (2010), a Political Sciences diploma at Sciences Po Toulouse (2010) and a PhD. in Pharmaco-epidemiology and Innovation at Université de Nantes (2015). Dr. Lhermie currently serves as an expert in animal health economics for international organizations (FAO, OIE, WHO), national agencies and NGOs. Dr. Lhermie is an adjunct professor at the National Veterinary School of Toulouse, France.

Prior to joining the Simpson Centre, Guillaume Lhermie was an Associate Professor in Animal Health and Veterinary Public Health Economics at the University of Toulouse.

Prior to working in the academic field in the USA, as an Adjunct Assistant Professor position at Cornell University for two years, Dr. Lhermie was associate director of the Business Unit - Food producing animals and Equine-, for the French affiliate, of Vetoquinol, a pharmaceutical company ranked 8th player globally in animal health, for livestock (cows, pigs) and pets (cats, dogs). He also represented the company in several working groups, via the European (IFAH) and French pharmaceutical industry syndicates (SIMV), or at a private level.


","Presentations":[{"Title":"Keynote Presentation: multidimensional policies to tackle the AMR challenge","Bio":"Guillaume Lhermie obtained a Doctoral degree in Veterinary Medicine at Ecole Nationale Vétérinaire de Toulouse (2005), a Master’s degree in Agricultural Economics at Montpellier Supagro (2010), a Political Sciences diploma at Sciences Po Toulouse (2010) and a PhD. in Pharmaco-epidemiology and Innovation at Université de Nantes (2015). Dr. Lhermie currently serves as an expert in animal health economics for international organizations (FAO, OIE, WHO), national agencies and NGOs. Dr. Lhermie is an adjunct professor at the National Veterinary School of Toulouse, France.\r\n\r\nPrior to joining the Simpson Centre, Guillaume Lhermie was an Associate Professor in Animal Health and Veterinary Public Health Economics at the University of Toulouse.\r\n\r\nPrior to working in the academic field in the USA, as an Adjunct Assistant Professor position at Cornell University for two years, Dr. Lhermie was associate director of the Business Unit - Food producing animals and Equine-, for the French affiliate, of Vetoquinol, a pharmaceutical company ranked 8th player globally in animal health, for livestock (cows, pigs) and pets (cats, dogs). He also represented the company in several working groups, via the European (IFAH) and French pharmaceutical industry syndicates (SIMV), or at a private level.\r\n\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"af6d9681-b193-467e-8ad8-bddbc5b546de","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"1_Special Session: Opening the Social Sciences umbrella to tackle AMR: lessons from human and animal health (ISESSAH)","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[],"Authors":[{"PresentationId":"3da072fc-c3b7-4dcb-af83-a6de9d21766c","Title":"Assoc Prof.","FirstName":"Guillaume","LastName":"Lhermie","Position":null,"Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Lhermie G"}],"Affiliations":[],"AuthorsHtml":"Lhermie G","AffiliationsHtml":""},{"Title":"Agent-Based value chain modelling for ex-post economic assessment of antimicrobial use reduction policy","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"748c89cf-d3fd-4bc7-bdce-b39daa14b048","Html":null,"PlainText":"France was one of the first European countries to put in place voluntary regulatory measures aimed at reducing the use of antibiotics in livestock farming. The objectives of the Ecoantibio1 plan were achieved in 2016, however efficiency evaluation of the policies put in place is complex because policies were multi-objective and concerns interdependent strategic sectors. The pork sector is chosen as the analysis scale for this economic evaluation because it is the most standardized in terms of the use of antibiotics. To assess the efficiency of the Ecoantibio plan on the sector, a multi-agent bioeconomic mathematical programming model representing the pork sector was developed under Python. The model represents the main players in the sector and their interactions and makes it possible to (i) distinguish the classes of antibiotics (critical and non-critical) through techniquo-sanitary farm management matrices (ii) represent the different physiological stages of animals associated with highly variable uses of medicinal inputs (iii) and simulate regulatory and voluntary measures. The simulated actors are breeders (different systems), cooperatives and veterinarians. The voluntary change in practice can take place in the model by confronting, on the one hand, the persuasiveness of veterinarians and general awareness of farmers (networks and spots); and on the other hand through a factor of receptivity and opportunism of the breeders.
The simulations were carried out over the duration of the plan (week step) and the model was validated by confronting to field date, antimicrobial use indicators per family, the level of production of the entire sector and economic indicators. Results show a low economic impact of the reduction in the use of antibiotics on the income of farmers. these results were compared in the field and are consistent with the results of surveys carried out among pig producers.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"748c89cf-d3fd-4bc7-bdce-b39daa14b048","Title":"Mr.","FirstName":"Ahmed","LastName":"Ferchiou","Position":"Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Ferchiou A"},{"PresentationId":"748c89cf-d3fd-4bc7-bdce-b39daa14b048","Title":"Assoc Prof.","FirstName":"Guillaume","LastName":"Lhermie","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Lhermie G"},{"PresentationId":"748c89cf-d3fd-4bc7-bdce-b39daa14b048","Title":"Dr.","FirstName":"Agnès","LastName":"Waret-Szkuta","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Waret-Szkuta A"},{"PresentationId":"748c89cf-d3fd-4bc7-bdce-b39daa14b048","Title":"Prof.","FirstName":"Didier","LastName":"Raboisson","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Raboisson D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"748c89cf-d3fd-4bc7-bdce-b39daa14b048","Number":1,"Affiliation":"National Veterinary School Toulouse","City":"Toulouse","State":"Haute Garonne ","Country":"France","AffiliationDisplay":"National Veterinary School Toulouse, Toulouse Haute Garonne , France"}],"AuthorsHtml":"Ferchiou A1, Lhermie G1, Waret-Szkuta A1, Raboisson D1","AffiliationsHtml":"
1National Veterinary School Toulouse, Toulouse Haute Garonne , France
"},{"Title":"Quantifying Animal Health Care Spatial Accessibility in the French Cattle, Swine and Poultry Sectors with Two-step Floating Catchment Area Method ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"690efff7-de63-48b8-857c-511efec292f2","Html":null,"PlainText":"1. Objective

The decrease in the supply of veterinary healthcare in France adversely affects health of food-producing animals. In a One Health perspective, the health of people, animals and their shared environment are interconnected; therefore, the supply of veterinary healthcare is linked to public health. Prevention of outbreaks and zoonotic diseases that may impact public health requires a set of public policies. Although these policies should be informed by quantification of animal health care accessibility. The objective was to quantify the accessibility to veterinary healthcare for cattle, swine, and poultry sectors in France.

2. Materials and methods

A Two-Step Floating Catchment Area (2SFCA) approach was used to measure the level of accessibility to veterinary clinics at a low geographical level (canton) in France. Drawing on a dataset of farms and on a dataset of veterinarians collected in 2019, the 2SFCA score was calculated using the travel time between each farm and veterinary clinic as distance measurement estimated on actual road networks. A sensitivity analysis was conducted to provide information regarding the spatial accessibility distribution.

3. Resuts

In the cattle sector, the 2SFCA score indicated relatively high accessibility in the north and south of France, but insufficient accessibility elsewhere. In the swine sector, there was high accessibility in the north east and in north of France, medium accessibility in the south west, and insufficient accessibility elsewhere. Finally, in the poultry sector, all regions had insufficient accessibility.

4. Conclusion

We provided evidence that the supply of animal health care was not sufficient in many areas of France. Additionally, our research proposed recommendations on how to assess animal health care accessibility, enabling modelling and visualization of the effects of potential public policies aimed at reducing veterinary shortages.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"690efff7-de63-48b8-857c-511efec292f2","Title":"Mr.","FirstName":"Mehdi","LastName":"Berrada","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Berrada M"},{"PresentationId":"690efff7-de63-48b8-857c-511efec292f2","Title":"Dr.","FirstName":"Youba","LastName":"Ndiaye","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ndiaye Y"},{"PresentationId":"690efff7-de63-48b8-857c-511efec292f2","Title":"Prof.","FirstName":"Didier","LastName":"Raboisson","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Raboisson D"},{"PresentationId":"690efff7-de63-48b8-857c-511efec292f2","Title":"Assoc Prof.","FirstName":"Guillaume","LastName":"Lhermie","Position":null,"Affiliations":"2","IsPresenting":true,"SortOrder":4,"DisplayName":"Lhermie G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"690efff7-de63-48b8-857c-511efec292f2","Number":1,"Affiliation":"Cirad Umr Astre","City":"Toulouse","State":"Haute-garonne","Country":"France","AffiliationDisplay":"Cirad Umr Astre, Toulouse Haute-garonne, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"690efff7-de63-48b8-857c-511efec292f2","Number":2,"Affiliation":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Canada"}],"AuthorsHtml":"Berrada M1, Ndiaye Y1, Raboisson D1, Lhermie G2","AffiliationsHtml":"
1Cirad Umr Astre, Toulouse Haute-garonne, France
2Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Canada
"},{"Title":"Marginal cost of lameness prevalence in dairy herds : integrated bioeconomic modelling approach","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"000e7006-a4de-44ac-9754-75b14228ffca","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.A - Production diseases","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"302ef17d-bcab-4230-9dab-c3d734868c60","Html":null,"PlainText":"Lameness is one the three main health concerns in dairy cattle and Foot disorders are responsible for 92 % of total lameness cases. These troubles can be separated into two main and distinguishable categories: non-infectious claw diseases, which are sole ulcers (SU) and white line disease (WLD) and infectious diseases with interdigital phlegmon (IP), interdigital dermatitis (ID) and digital dermatitis (DD).
Different strategies are available for the farmers in order to manage lameness : 1/ short-term actions, such as curative trimming, footblocks, antibiotics use and footbath application ; 2/ long-term actions, for example improving housing management (flooring, strawing, general layout), working on a detection of lame cows as rapid as possible or preventive and systematical trimming.
The objective of our study is to build a stochastic simulation model, based on an approach as complete as possible in terms of herd management and occurred events, specifically focused on lameness diseases, to estimate the marginal cost of lameness management in order to suggest the optimal herd strategy about lameness. This model consists in a biological simulation model coupled to an economic optimization model. The integrated bioeconomic modelling approach “Dairy Health Simulator” was used and upgraded to precisely simulate lameness occurrence and management strategies. DHS_Lameness simulates infectious and non-infectious lame diseases and their interaction with short- and long-term management strategies and their epidemiologic, economic and social impacts.
Preliminary results demonstrate the substitutability of lameness management strategies, in particular between the implementation of a footbath according to active lesions of DD prevalence and farmer’s blade score detection rate. The results also show that most of the economic loss due to lameness is related to loss of milk production. This increases the interest in choosing the optimal lameness management strategy in areas where milk is best paid.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"302ef17d-bcab-4230-9dab-c3d734868c60","Title":"Mr.","FirstName":"Ahmed","LastName":"Ferchiou","Position":"Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Ferchiou A"},{"PresentationId":"302ef17d-bcab-4230-9dab-c3d734868c60","Title":"Mr.","FirstName":"Rodolphe","LastName":"Robcis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Robcis R"},{"PresentationId":"302ef17d-bcab-4230-9dab-c3d734868c60","Title":"Dr.","FirstName":"Nicolas","LastName":"Herman","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Herman N"},{"PresentationId":"302ef17d-bcab-4230-9dab-c3d734868c60","Title":"Assoc Prof.","FirstName":"Guillaume","LastName":"Lhermie","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Lhermie G"},{"PresentationId":"302ef17d-bcab-4230-9dab-c3d734868c60","Title":"Prof.","FirstName":"Didier","LastName":"Raboisson","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Raboisson D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"302ef17d-bcab-4230-9dab-c3d734868c60","Number":1,"Affiliation":"National Veterinary School Toulouse","City":"Toulouse","State":"Haute Garonne ","Country":"France","AffiliationDisplay":"National Veterinary School Toulouse, Toulouse Haute Garonne , France"}],"AuthorsHtml":"Ferchiou A1, Robcis R1, Herman N, Lhermie G1, Raboisson D1","AffiliationsHtml":"
1National Veterinary School Toulouse, Toulouse Haute Garonne , France
"}],"DisplayName":"Guillaume Lhermie","TimeDisplay":null},{"ContactId":"a3b74e6f-679f-4b71-b89d-43893fd03f24","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Yin","LastName":"Li","Position":"","Organization":"Csiro","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/08587f1338c4435982b8ed9b330c3784","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Biomass and value estimation of the cattle production systems in Ethiopia","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Html":null,"PlainText":"Understanding livestock biomass and the economic value generated by livestock production systems is fundamental for evaluating disease burden. Analyses of livestock production systems according to biomass and subsequent economic value can contribute information that supports disease burden assessments.

The aim of this study was to describe the economic characteristics of cattle production systems in Ethiopia.

The population, reproduction performance, mortality and offtake, productivity and feed types were analysed using different data sources. The total cattle biomass and output values in the major cattle production systems in 2021 were estimated using the DYNMOD herd model. The uncertainty and sensitivity analysis of the biomass estimation for Ethiopia’s crop-livestock mixed systems (CLM), the predominant cattle production systems, were analysed.

The CLM and the pastoral cattle production systems were different in herd structure, reproductivity, mortality and feed usage. The estimated total cattle biomass was 14.41 billion kg in 2020, with 11.77 billion kg in the CLM, and 2.64 billion kg in the pastoral system. The estimated total offtake meat production from cattle was 717.29 million kg in 2020, with 565.25 million kg in the CLM, and 152.04 million kg in the pastoral system, respectively. The total combined output value (beef, milk and draught power) of cattle production was 8.1% of GDP in Ethiopia in 2021, reflecting the significant importance of cattle in the Ethiopian economy. Especially, the economic value of draught power in the CLM system was estimated as 1.88 billion USD, which contributed 21% of the combined cattle production value in the year. Hazards that impact the productivity of meat, milk and draught power in the country should be given priority in animal health policies.
Keywords: Cattle, herd model, biomass, production systems, output values, draught power
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Title":"Dr.","FirstName":"Yin","LastName":"Li","Position":"","Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Li Y"},{"PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Title":"Ms.","FirstName":"Dianne","LastName":"Mayberry","Position":"RS","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Mayberry D"},{"PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Title":"Dr.","FirstName":"Wudu","LastName":"Jemberu","Position":"Prof.","Affiliations":"1,4,5","IsPresenting":false,"SortOrder":3,"DisplayName":"Jemberu W"},{"PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Title":"Dr.","FirstName":"Peggy","LastName":"Schrobback","Position":"Research Scientist","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Schrobback P"},{"PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Title":"Dr","FirstName":"Mario","LastName":"Herrero Acosta","Position":"Prof","Affiliations":"1,6","IsPresenting":false,"SortOrder":5,"DisplayName":"Herrero Acosta M"},{"PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Title":"Dr.","FirstName":"Theo","LastName":"Knight Jones","Position":"Prof.","Affiliations":"1,4","IsPresenting":false,"SortOrder":6,"DisplayName":"Knight Jones T"},{"PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Affiliations":"1,7","IsPresenting":false,"SortOrder":7,"DisplayName":"Rushton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Number":1,"Affiliation":"The Global Burden of Animal Diseases ","City":"Brownlow Hill","State":"Liverpool","Country":"UK","AffiliationDisplay":"The Global Burden of Animal Diseases , Brownlow Hill Liverpool, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Number":2,"Affiliation":"Commonwealth Scientific and Industrial Research Organization","City":"Brisbane, 4067","State":"QLD","Country":"Australia","AffiliationDisplay":"Commonwealth Scientific and Industrial Research Organization, Brisbane, 4067 QLD, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Number":3,"Affiliation":"Murdoch University","City":" Perth","State":"WA","Country":"Australia","AffiliationDisplay":"Murdoch University, Perth WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Number":4,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":"Addis Ababa","Country":"Ethiopia ","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Number":5,"Affiliation":"University of Gondar","City":"Gondar","State":"Gondar, 4067","Country":"Ethiopia","AffiliationDisplay":"University of Gondar, Gondar Gondar, 4067, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Number":6,"Affiliation":"Cornell University","City":" Ithaca","State":"NY, 4067","Country":"USA","AffiliationDisplay":"Cornell University, Ithaca NY, 4067, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c85e8555-d4d3-45e1-93c6-f0d82a920515","Number":7,"Affiliation":"Institute of Infection and Global Health, University of Liverpool","City":"Brownlow Hill","State":"Liverpool","Country":"UK","AffiliationDisplay":"Institute of Infection and Global Health, University of Liverpool, Brownlow Hill Liverpool, UK"}],"AuthorsHtml":"Li Y1,2,3, Mayberry D1,2, Jemberu W1,4,5, Schrobback P1,2, Herrero Acosta M1,6, Knight Jones T1,4, Rushton J1,7","AffiliationsHtml":"
1The Global Burden of Animal Diseases , Brownlow Hill Liverpool, UK
2Commonwealth Scientific and Industrial Research Organization, Brisbane, 4067 QLD, Australia
3Murdoch University, Perth WA, Australia
4International Livestock Research Institute, Addis Ababa Addis Ababa, Ethiopia
5University of Gondar, Gondar Gondar, 4067, Ethiopia
6Cornell University, Ithaca NY, 4067, USA
7Institute of Infection and Global Health, University of Liverpool, Brownlow Hill Liverpool, UK
"}],"DisplayName":"Yin Li","TimeDisplay":null},{"ContactId":"aab7d5ae-dd08-4355-9106-d984d7d7c517","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Silje Enge","LastName":"Lildholdt","Position":"Phd-Student","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluation of diagnostic accuracy and agreement between thoracic ultrasonographic examination, clinical scoring and detection of respiratory pathogens in dairy calves","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"77240552-60d3-4514-b907-b8b9ea4735f2","Html":null,"PlainText":"Keywords: bovine respiratory disease, diagnostic tests

The objective of this study was to evaluate the agreement between, and diagnostic accuracy of thoracic ultrasonographic examination findings, traditional clinical scoring results and detection of respiratory pathogens in healthy calves and calves with bovine respiratory disease (BRD) in dairy production.

The study design was cross sectional and included a convenience sample of 90 calves in seven dairy herds with a consistent BRD problem, spread across southern Norway. Each calf with clinical symptoms of BRD was paired with a calf appearing healthy. Three examinations were performed on all the included calves: thoracic ultrasonography, clinical examination and collection of bronchoalvolar lavage. Ultrasonographic findings were registered as B-lines and consolidation depth and assessed 0 to 3. Clinical examination was performed of all calves according to a clinical scoring system modified after Klem et al. and assessed 0 to 3. Bacteria cultured from the bronchoalveolar lavage were categorized from 0 to 2 according to semiquantitative detection of known bacterial respiratory pathogens. Further analysis will be performed during 2022. Agreement between the three 'diagnostic tests' will be estimated by Weighted Kappa. The ordinal scoring from all tests will be dichotomized before latent class analysis using a predetermined cut-off.

Preliminary results from 7 herds (n=90):
- 45,6 % of included calves had thoracic ultrasonographic findings above the cut off value
- 7,8 % of included calves had a clinical score above the cut off value
- 15,6 % of included calves had respiratory pathogens detected on bronchoalveolar lavage
Lildholdt S 1 , Ånestad L 2 , Skogmo H 1 , Toftaker I 1 , Stokstad M 1
1 Department of Production Animal Clinical Sciences, Norwegian University of Life Sciences, Ås, Norway
2 Norwegian Veterinary Institute, Ås, Norway
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"77240552-60d3-4514-b907-b8b9ea4735f2","Title":"Ms.","FirstName":"Silje Enge","LastName":"Lildholdt","Position":"Phd-Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lildholdt S"},{"PresentationId":"77240552-60d3-4514-b907-b8b9ea4735f2","Title":"Ms.","FirstName":"Lise Marie","LastName":"Ånestad","Position":"PhD Student","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ånestad L"},{"PresentationId":"77240552-60d3-4514-b907-b8b9ea4735f2","Title":"Dr.","FirstName":"Ingrid","LastName":"Toftaker","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Toftaker I"},{"PresentationId":"77240552-60d3-4514-b907-b8b9ea4735f2","Title":"Ms.","FirstName":"Maria","LastName":"Stokstad","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Stokstad M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"77240552-60d3-4514-b907-b8b9ea4735f2","Number":1,"Affiliation":"Department of Production Animal Clinical Sciences, Norwegian University of Life Sciences","City":"Ås","State":null,"Country":"Norway","AffiliationDisplay":"Department of Production Animal Clinical Sciences, Norwegian University of Life Sciences, Ås, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"77240552-60d3-4514-b907-b8b9ea4735f2","Number":2,"Affiliation":"Norwegian Veterinary Institute","City":"Ås","State":null,"Country":"Norway","AffiliationDisplay":"Norwegian Veterinary Institute, Ås, Norway"}],"AuthorsHtml":"Lildholdt S1, Ånestad L2, Toftaker I1, Stokstad M1","AffiliationsHtml":"
1Department of Production Animal Clinical Sciences, Norwegian University of Life Sciences, Ås, Norway
2Norwegian Veterinary Institute, Ås, Norway
"}],"DisplayName":"Silje Enge Lildholdt","TimeDisplay":null},{"ContactId":"49602baa-299e-48dc-8dc8-1b35c358dafa","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Vitoria Regia","LastName":"Lima Campelo","Position":"Student","Organization":"University of Montreal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Adoption of biosecurity practices on Dairy Farms from Quebec, Canada: A cross-sectional study ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"691eb95b-8e83-4402-9e57-b3af198eba14","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Html":null,"PlainText":"Keywords: Biosecurity, dairy farms, questionnaire, disease management, mastitis.

Dairy Farmers of Canada have created a mandatory accreditation program, named ProAction, to ensure milk quality in Canada. As part of this program, every other year, farmers, and their veterinarians must conduct a biosecurity risk assessment.

1.\tObjectives

The present study aimed to describe the adoption of biosecurity practices by producers and analyze veterinarians’ recommended biosecurity improvements.

2.\tMaterials and Methods

Using a retrospective cross-sectional design, the risk assessments completed between 2018 and 2021 were extracted from Vigil-Vet (a software that centralizes ProAction data). The distribution of diseases of most concern for the producer, the application of biosecurity measures, and the categories of recommendations received were described. Associations between the adoption of biosecurity practices and the categories of veterinary recommendations were investigated using logistic regression.

3.\tResults

Only the most recent risk assessment was extracted and analyzed for a given farm (n=3,825). Mastitis was the disease of most concern for dairy farmers (39%, CI: 38.1- 41.3). Regarding the adoption of biosecurity practices, having an open herd was frequent: 58% (CI: 56.9 – 60.0) of the respondents introduced new animals and 83% (CI: 81.2 - 84.4) of these open herds did not quarantine new animals. In contrast, cleaning of stalls and health equipment was ensured by 95.5% (CI: 94.8 - 96.2) and 86% (CI: 85 - 87.2) of respondents, respectively.
Logistic regression showed that the veterinarians’ recommendations were strongly associated with the producer’s answers regarding the adoption of biosecurity practices, suggesting that the risk assessment tool was directly used to identify biosecurity flaws.

4.\tConclusion

This descriptive research provides an overview of the level of biosecurity on Quebec dairy farms and will help to inform farmers, veterinarians, and policymakers as well as evaluate changes in biosecurity adoption over time.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Title":"DVM, PhD Student","FirstName":"Vitória ","LastName":"Régia Lima Campêlo","Position":"Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Régia Lima Campêlo V"},{"PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Title":"Prof. Dr.","FirstName":"Cécile ","LastName":"Aenishaenslin","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Aenishaenslin C"},{"PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Title":"Dr.","FirstName":"Manon","LastName":"Racicot","Position":"Senior Veterinary Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Racicot M"},{"PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Title":"Prof. Dr.","FirstName":"Jean-Philippe","LastName":"Roy","Position":"Full professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Roy J"},{"PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Title":"Prof. Dr.","FirstName":"Nancy ","LastName":"Beauregard","Position":"Associate Professor","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Beauregard N"},{"PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Title":"Prof. Dr.","FirstName":"Simon","LastName":"Dufour","Position":"Associate professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Dufour S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Number":1,"Affiliation":"Department of Pathology and Microbiology, Faculty of Veterinary Medicine, University of Montreal ","City":"Saint-Hyacinthe","State":"Quebec","Country":"Canada","AffiliationDisplay":"Department of Pathology and Microbiology, Faculty of Veterinary Medicine, University of Montreal , Saint-Hyacinthe Quebec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Number":2,"Affiliation":"Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Montreal ","City":"Saint-Hyacinthe","State":"Quebec","Country":"Canada","AffiliationDisplay":"Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Montreal , Saint-Hyacinthe Quebec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Number":3,"Affiliation":"Canadian Food Inspection Agency (CFIA), Government of Canada","City":"Ottawa","State":"Ontario","Country":"Canada","AffiliationDisplay":"Canadian Food Inspection Agency (CFIA), Government of Canada, Ottawa Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f92c3909-edc4-48a4-8a0a-15515e27d680","Number":4,"Affiliation":"School of Industrial Relations, University of Montreal","City":"Montreal","State":"Quebec","Country":"Canada","AffiliationDisplay":"School of Industrial Relations, University of Montreal, Montreal Quebec, Canada"}],"AuthorsHtml":"Régia Lima Campêlo V1, Aenishaenslin C1, Racicot M3, Roy J2, Beauregard N4, Dufour S1","AffiliationsHtml":"
1Department of Pathology and Microbiology, Faculty of Veterinary Medicine, University of Montreal , Saint-Hyacinthe Quebec, Canada
2Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Montreal , Saint-Hyacinthe Quebec, Canada
3Canadian Food Inspection Agency (CFIA), Government of Canada, Ottawa Ontario, Canada
4School of Industrial Relations, University of Montreal, Montreal Quebec, Canada
"}],"DisplayName":"Vitoria Regia Lima Campelo","TimeDisplay":null},{"ContactId":"c4a32b8e-131f-4476-90b3-db8d7f5335bb","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Georgina","LastName":"Limon","Position":"","Organization":"The Pirbright Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"g_limonv","_facebookUrl":"","_linkedInUrl":"uk.linkedin.com/in/georgina-limon-32b3ab40","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"g_limonv","FacebookUrl":"","LinkedInUrl":"uk.linkedin.com/in/georgina-limon-32b3ab40","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=g_limonv","FullFacebookUrl":"","FullLinkedInUrl":"http://uk.linkedin.com/in/georgina-limon-32b3ab40","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=g_limonv","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://uk.linkedin.com/in/georgina-limon-32b3ab40","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Estimating the force of infection for Crimean-Congo haemorrhagic fever virus in sheep farms and the impact of vaccination and other control measures","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7d26eb7-65b0-4ca0-968f-d5d73c8f2d1e","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.E - Global Health Security","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Html":null,"PlainText":"Crimean-Congo Haemorrhagic Fever virus (CCHFV) is a tick-borne virus which causes a high case fatality in humans and is a WHO priority emerging disease. Livestock infection is asymptomatic but plays a crucial role in transmission of the virus.

We conducted a multisite two-armed randomised control trial to assess the force of infection (FOI) and vaccine efficacy (VE) of a Modified Vaccinia virus Ankara, encoding the envelope glycoprotein (Gp) of CCHFV. The study involved 640 lambs from 36 sheep farms located in a high-risk area in Bulgaria. Lambs received a prime and boost vaccination one month apart and were followed-up for six months during a period of expected high level of transmission. Serum samples collected were tested using anti-CCHFV NP specific IgG ELISA.

FOI and VE were estimated in a Bayesian framework. Both constant and time varying FOIs were considered. Two models were considered for VE: one in which it was common to all farms; and one in which it varied amongst farms. Different models for the FOI and VE were compared using the deviance information criterion.

There was strong evidence that the FOI varies amongst farms and over time, peaking between end of June and beginning of August (study weeks 17-21). VE varied amongst farms and had a limited impact on the FOI in most farms. The posterior median VE was >0 for 16 farms (median: 42.7%; range: 2.8%-77.1%). Looking at other control measures, there was evidence that tick control or spraying sheds had an impact on decreasing FOI with heterogeneity amongst farms.

Result from this study provide novel information on CCHF dynamics in sheep farms and can inform targeted interventions in the study area. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr.","FirstName":"Georgina","LastName":"Limon","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Limon G"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"S","LastName":"Tchakarova","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Tchakarova S"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"A","LastName":"Ludi","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Ludi A"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"T","LastName":"Alexandrov","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Alexandrov T"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"P","LastName":"Petkova","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Petkova P"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"E","LastName":"Maze","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Maze E"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"K","LastName":"Hannant","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Hannant K"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"S","LastName":"Belij-Rammerstorfer","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Belij-Rammerstorfer S"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Professor","FirstName":"T","LastName":"Lambe","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Lambe T"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"K","LastName":"Thomas","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":10,"DisplayName":"Thomas K"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"N","LastName":"Baker","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":11,"DisplayName":"Baker N"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Professor","FirstName":"M","LastName":"Carroll","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":12,"DisplayName":"Carroll M"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Professor","FirstName":"R","LastName":"Hewson","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":13,"DisplayName":"Hewson R"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Professor","FirstName":"B","LastName":"Charleston","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":14,"DisplayName":"Charleston B"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"N","LastName":"Lyons","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":15,"DisplayName":"Lyons N"},{"PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Title":"Dr","FirstName":"S","LastName":"Gubbins","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":16,"DisplayName":"Gubbins S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9375b398-22f4-4229-9abd-e76ae1df3951","Number":1,"Affiliation":"The Pirbright Institute","City":"Pirbright","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"The Pirbright Institute, Pirbright Surrey, United Kingdom"}],"AuthorsHtml":"Limon G1, Tchakarova S, Ludi A, Alexandrov T, Petkova P, Maze E, Hannant K, Belij-Rammerstorfer S, Lambe T, Thomas K, Baker N, Carroll M, Hewson R, Charleston B, Lyons N, Gubbins S","AffiliationsHtml":"
1The Pirbright Institute, Pirbright Surrey, United Kingdom
"},{"Title":"Foot-and-mouth disease virus surveillance at markets and abattoirs in Cameroon using environmental sampling","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Html":null,"PlainText":"Key words: Foot-and-mouth disease, surveillance, environmental sampling

Objective:
Active monitoring and understanding the epidemiology of foot-and-mouth disease virus (FMDV) form the foundations of control programmes in endemic areas. In many endemic areas, however, veterinary resources are limited, resulting in a requirement for simple sampling techniques to increase and supplement surveillance efforts. In this project, environmental sampling was used at livestock markets and abattoirs across Cameroon to assess the opportunities for broad scale disease surveillance at such sites.

Materials and methods:
Environmental sampling methods for the detection of FMDV were used at cattle markets and abattoirs from six locations across Cameroon. A total of 1994 samples were collected, stored in lysis buffer and transported to The Pirbright Institute (UK). The samples were tested for the presence of FMDV RNA using a panserotype FMDV specific rRT-PCR assay. A subset of samples (n=24) positive for FMDV were also analysed using a probe enrichment-based sequencing method.

Results:
8% (n=173) of samples were positive for FMDV RNA, with the majority of positive samples deriving from two sampling locations (Douala, n=86/332 and Bertoua, n=79/332). Sequence data was generated from the VP1-encoding region of the FMDV genome (n=11/24), enabling characterisation of serotypes and strains present in the samples.

Conclusions:
Environmental sampling provides a simple, non-invasive method for the detection of FMDV that avoids individual handling of livestock. Sampling at markets and abattoirs that are hubs for livestock movements presents an opportunity for broad scale surveillance of livestock diseases, not only FMDV but other transboundary diseases that are the subject of control and eradication programmes. The data presented here show that with advances in sequencing protocols, such as the incorporation of probe-based library enrichment steps, viruses found in environmental samples can be characterised at a finer level to provide valuable epidemiological data for surveillance and eradication programmes.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Title":"Dr.","FirstName":"Claire","LastName":"Colenutt","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Colenutt C"},{"PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Title":null,"FirstName":"Emma","LastName":"Brown","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Brown E"},{"PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Title":null,"FirstName":"Andrew","LastName":"Shaw","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Shaw A"},{"PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Title":null,"FirstName":"Seraphine","LastName":"Esemu","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Esemu S"},{"PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Title":"Dr","FirstName":"Lucy","LastName":"Ndip","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Ndip L"},{"PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Title":"Dr.","FirstName":"Keith","LastName":"Sumption","Position":"","Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Sumption K"},{"PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Title":"Dr.","FirstName":"Georgina","LastName":"Limon","Position":"","Affiliations":null,"IsPresenting":true,"SortOrder":7,"DisplayName":"Limon G"},{"PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Title":"Dr","FirstName":"Simon","LastName":"Gubbins","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Gubbins S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Number":1,"Affiliation":"The Pirbright Institute","City":"Pirbright","State":null,"Country":"United Kingdom","AffiliationDisplay":"The Pirbright Institute, Pirbright, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Number":2,"Affiliation":"Laboratory for Emerging Infectious Diseases, University of Buea","City":"Buea","State":null,"Country":"Cameroon","AffiliationDisplay":"Laboratory for Emerging Infectious Diseases, University of Buea, Buea, Cameroon"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"09b3f727-81aa-4fc2-9cad-e6e4dcc11589","Number":3,"Affiliation":"European Commission for the Control of Foot-and-Mouth disease (EuFMD), Food and Agriculture Organisation of the United Nations (FAO)","City":"Rome","State":null,"Country":"Italy","AffiliationDisplay":"European Commission for the Control of Foot-and-Mouth disease (EuFMD), Food and Agriculture Organisation of the United Nations (FAO), Rome, Italy"}],"AuthorsHtml":"Colenutt C1, Brown E1, Shaw A1, Esemu S2, Ndip L2, Sumption K3, Limon G, Gubbins S1","AffiliationsHtml":"
1The Pirbright Institute, Pirbright, United Kingdom
2Laboratory for Emerging Infectious Diseases, University of Buea, Buea, Cameroon
3European Commission for the Control of Foot-and-Mouth disease (EuFMD), Food and Agriculture Organisation of the United Nations (FAO), Rome, Italy
"},{"Title":"Factors and impact associated with sheeppox and goatpox seroprevalence, identification of high-risk areas and economic viability of vaccination in northern Nigeria","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3dd96aae-c056-47a7-845d-58850ffa093f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Html":null,"PlainText":"Sheeppox and goatpox (SGP) are widespread in Asia, Africa and Middle East, affecting considerable number of small ruminants kept by subsistence producers. There are important knowledge gaps on the epidemiology and economic viability of SGP vaccination programmes in endemic countries. We conducted a series of field studies in three states of Northern Nigeria to (i)assess the extent and geographic distribution of SGP seropositivity in backyard small ruminant flocks, (ii)identify risk factors for SGPV exposure at animal and herd level and (iii)estimate the financial impact and economic viability of SGP vaccination. Older animals and small ruminants with a history of clinical SGP had higher odds of being seropositive (OR=8.0, p=0.008 and OR=16.9, p=0.01 respectively). Bringing new small ruminants into the household and having a history of SGP in the flock were the main factors identified at household level. Households were less likely to be sero-positive if the time between bringing animalsinto the household and sampling was over a year (PR = 0.31, p = 0.05), while households with a history of SGP were more likely to be sero-positive regardless of the timeframe. Importantly, spatial heterogeneity was found across local government areas (LGA) (Morans’ I 0.2, p=0.005), with LGA in the north-east and north-west of the study area identified as hot-spots for SGPV exposure.Median SGP losses per reproductive female were £27 (90%C.I. £22-£31) in sedentary and £30 (90%C.I. £21-£41) in transhumance herds. SGP vaccination was determined to be economically viable at the herd and regional level for most scenarios considered. Median benefit-cost ratio (BCR) for a regional SGP vaccination standalone programme range from 6-27 depending on the proportion of subsidies. Results from these studies shed new light on the epidemiology of SGP and the economic benefit of vaccination, providing evidence for policy makers to use when designing SGP intervention programmes. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr.","FirstName":"Adeyinka","LastName":"Adedeji","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Adedeji A"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Megan","LastName":"Megan ","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Megan M"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Sandra ","LastName":"Sandra Ijoma","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Sandra Ijoma S"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":null,"FirstName":"Rebecca ","LastName":"Atai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Atai R"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr ","FirstName":"Banenat","LastName":"Dogonyaro ","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Dogonyaro B"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Jolly","LastName":"Adole","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Adole J"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Maurice ","LastName":"Nanven","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Nanven M"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Onyekachukwu","LastName":"Osemeke","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Osemeke O"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Ibrahim ","LastName":"Waziri","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Waziri I"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Yakubu ","LastName":"Atuman","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":10,"DisplayName":"Atuman Y"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Nick ","LastName":"Lyons","Position":null,"Affiliations":"3,4","IsPresenting":false,"SortOrder":11,"DisplayName":"Lyons N"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":" Pip ","LastName":"Beard","Position":null,"Affiliations":"2,3","IsPresenting":false,"SortOrder":12,"DisplayName":"Beard "},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Kim ","LastName":"Stevens","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":13,"DisplayName":"Stevens K"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":"Pablo","LastName":"Alarcon","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":14,"DisplayName":"Alarcon P"},{"PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Title":"Dr","FirstName":" Georgina ","LastName":"Limon","Position":null,"Affiliations":"2,3","IsPresenting":false,"SortOrder":15,"DisplayName":"Limon "}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Number":1,"Affiliation":"National Veterinary Research Institute","City":"Vom ","State":"Plateau ","Country":"Nigeria","AffiliationDisplay":"National Veterinary Research Institute, Vom Plateau , Nigeria"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Number":2,"Affiliation":"Royal Veterinary College","City":"Hawkshead Lane, Hatfield, AL9 7TA","State":null,"Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, Hawkshead Lane, Hatfield, AL9 7TA, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Number":3,"Affiliation":"The Pirbright Institute","City":"Pirbright, Woking, GU24 0NF,","State":null,"Country":" United Kingdom","AffiliationDisplay":"The Pirbright Institute, Pirbright, Woking, GU24 0NF,, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Number":4,"Affiliation":"European Commission for the Control of Foot-and-Mouth Disease (EuFMD), Food and Agriculture Organization ","City":" Rome","State":null,"Country":"Italy","AffiliationDisplay":"European Commission for the Control of Foot-and-Mouth Disease (EuFMD), Food and Agriculture Organization , Rome, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2551c8b7-d1ff-4753-9eb1-863cbc560f40","Number":5,"Affiliation":"The Roslin Institute","City":"Midlothian","State":null,"Country":"Untied Kindgom","AffiliationDisplay":"The Roslin Institute, Midlothian, Untied Kindgom"}],"AuthorsHtml":"Adedeji A1, Megan M2, Sandra Ijoma S1, Atai R1, Dogonyaro B1, Adole J1, Nanven M1, Osemeke O1, Waziri I1, Atuman Y1, Lyons N3,4, Beard 2,3, Stevens K5, Alarcon P2, Limon 2,3","AffiliationsHtml":"
1National Veterinary Research Institute, Vom Plateau , Nigeria
2Royal Veterinary College, Hawkshead Lane, Hatfield, AL9 7TA, United Kingdom
3The Pirbright Institute, Pirbright, Woking, GU24 0NF,, United Kingdom
4European Commission for the Control of Foot-and-Mouth Disease (EuFMD), Food and Agriculture Organization , Rome, Italy
5The Roslin Institute, Midlothian, Untied Kindgom
"}],"DisplayName":"Georgina Limon","TimeDisplay":null},{"ContactId":"f6ca2cee-3710-473d-8fb9-c9f2fc5720e0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Organization":"International Livestock Research Institute, Uppsala University and Swedish University of Agricultural Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Managing the spread of antimicrobial resistance through awareness creation and community sensitization","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"97c96c1f-0955-4bc8-9a07-31dcd437828d","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Html":null,"PlainText":"Objective
The purpose of this study was to raise awareness and knowledge about AMR and antibiotic use among dairy farmers, paravets (veterinary assistants), and veterinarians. Different methodologies were investigated, and knowledge changes were measured.

Materials and methods
The study was conducted in September-December of 2018 in four states of India. It had two parts, intervention part (September-October 2018) and follow-up survey (November-December 2018). The villages were randomly allocated to either one of the three intervention approaches (1-classic AMR; 2-animal health; 3-animal health plus AMR) or to be a control. A follow up survey was done to assess the effect of interventions.

Results
In total, 274 dairy farmers and 51 veterinary professionals (21 veterinarians and 30 paravets) participated in the follow up survey. 69% of the dairy farmers and 84% veterinary professionals were a part of the intervention survey before. The average knowledge score in farmers was 7.8.It was found that the knowledge score was higher in farmers who had participated in earlier focus group discussions (p<0.05), had received intervention in approach 2 (animal health, p=0.03), or approach 3 (animal health plus AMR, p=0.01), and were females (p=0.03).

Conclusion
Our study identified that most of the people who participated in the discussions in the intervention stage showed an improvement in the awareness levels. The veterinary professionals had good knowledge but lacked the interest in training the farmers about antimicrobial resistance. Regular awareness programs must be conducted for the dairy farmers to increase knowledge about antibiotics and avoid inappropriate use. Also, the veterinary professionals should be given frequent trainings on how to make the farmers understand leading to a behavioral change.

Keywords: Antibiotics; Animal health; Antibiotic resistance; Dairy farmers; Veterinarians","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Title":"Dr.","FirstName":"Garima","LastName":"Sharma","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":1,"DisplayName":"Sharma G"},{"PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Title":"Ms.","FirstName":"Florence","LastName":"Mutua","Position":"Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mutua F"},{"PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Title":"Mr.","FirstName":"Tushar","LastName":"Dey","Position":"PhD Fellow","Affiliations":"1,3","IsPresenting":false,"SortOrder":3,"DisplayName":"Dey T"},{"PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Title":"Dr.","FirstName":"RamPratim","LastName":"Deka","Position":"Researcher","Affiliations":"1,4","IsPresenting":false,"SortOrder":4,"DisplayName":"Deka R"},{"PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":5,"DisplayName":"Randolph D"},{"PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Affiliations":"1,3,4","IsPresenting":false,"SortOrder":6,"DisplayName":"Lindahl J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Number":1,"Affiliation":"Department of Biosciences,International Livestock Research Institute (ILRI)","City":"Nairobi","State":"Kenya","Country":"Kenya","AffiliationDisplay":"Department of Biosciences,International Livestock Research Institute (ILRI), Nairobi Kenya, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Number":2,"Affiliation":"Food Safety System at the Natural Resources Institute, University of Greenwich","City":"Greenwich","State":"UK","Country":"UK","AffiliationDisplay":"Food Safety System at the Natural Resources Institute, University of Greenwich, Greenwich UK, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Number":3,"Affiliation":"Department of Medical Biochemistry and Microbiology, Uppsala University ","City":"Uppsala","State":"Uppsala","Country":"Sweden","AffiliationDisplay":"Department of Medical Biochemistry and Microbiology, Uppsala University , Uppsala Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d99835b6-1c60-45a6-a861-850b01b3fd54","Number":4,"Affiliation":"Swedish University of Agricultural Sciences (SLU)","City":"Uppsala","State":"Uppsala","Country":"Sweden","AffiliationDisplay":"Swedish University of Agricultural Sciences (SLU), Uppsala Uppsala, Sweden"}],"AuthorsHtml":"Sharma G1,3, Mutua F1, Dey T1,3, Deka R1,4, Randolph D1,2, Lindahl J1,3,4","AffiliationsHtml":"
1Department of Biosciences,International Livestock Research Institute (ILRI), Nairobi Kenya, Kenya
2Food Safety System at the Natural Resources Institute, University of Greenwich, Greenwich UK, UK
3Department of Medical Biochemistry and Microbiology, Uppsala University , Uppsala Uppsala, Sweden
4Swedish University of Agricultural Sciences (SLU), Uppsala Uppsala, Sweden
"},{"Title":"Assessing antimicrobial residues and resistant bacteria in dairy milk in India.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"47f7b7f2-d7bc-47d2-9e5a-86fe6fef4b8e","Html":null,"PlainText":"Introduction: Food safety is a great concern in low- and middle-income countries. Milk and milk products are staple foods that are consumed regularly by infants to adults in India and worldwide. However, exposure to antibiotic-resistant bacteria in milk could pose a risk to public health. This project was conducted to understand milk safety, by assessing antibiotic residues and resistant bacteria in the milk from dairy farmers and vendors.
Methods: The 729 milk samples were collected from two Indian states, and analyzed for the presence of food pathogens following standard laboratory procedure. The disc diffusion antibiotic susceptibility testing (ABST) was done to screen resistant bacteria. The resistant isolates by ABST were then studied by Polymerase chain reaction (PCR) genotyping to detect methicillin resistance, extended-spectrum beta-lactamases (ESBL), Metallo-beta-lactamases (MBL), and AmpC beta-lactamase’s (AmpC). Antibiotic residues were assessed using rapid tests, and lateral flow tests.
Results: The isolated gram-positive bacteria were found to be 74% (n=243) Staphylococcus spp. of which only 6% (n=14) harbored methicillin resistance (14 mecA and 2 mecC genes). Among the isolated gram-negative bacteria, 13% (n=43) of the isolates were resistant consisting of E. coli, Klebsiella spp., and Shigella spp. 59 % (n=7) of them were carrying ESBL genes, 60% AmpC (n=26), 14% MBL (n=6), 7% MBL+AmpC (n=3) and 2% ESBL+ AmpC (n=1). Antibiotic residues detected included beta-lactam, chloramphenicol, quinolone, tetracycline, oxytetracycline, sulfa drugs, streptomycin, and macrolides.
Conclusion: The collected milk sample was found to be contaminated with 6% methicillin-resistant Staphylococcus spp. and 13% with E. coli, Klebsiella spp., and Shigella spp with ESBL, MBL, and AmpC resistance. On the other hand, the existence of antibiotic residues beyond MRL along with pathogenic bacteria with a signature of resistance genes in farm animals as reservoirs and their dissemination through the food chain poses a public health threat.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"47f7b7f2-d7bc-47d2-9e5a-86fe6fef4b8e","Title":"Mr.","FirstName":"Tushar","LastName":"Dey","Position":"PhD Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Dey T"},{"PresentationId":"47f7b7f2-d7bc-47d2-9e5a-86fe6fef4b8e","Title":"Dr.","FirstName":"Bibek","LastName":"Shome","Position":"Principal Scientist","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Shome B"},{"PresentationId":"47f7b7f2-d7bc-47d2-9e5a-86fe6fef4b8e","Title":"Dr.","FirstName":"RamPratim","LastName":"Deka","Position":"Researcher","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Deka R"},{"PresentationId":"47f7b7f2-d7bc-47d2-9e5a-86fe6fef4b8e","Title":"Dr.","FirstName":"Rajeswari","LastName":"Shome","Position":"Principal Scientist","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Shome R"},{"PresentationId":"47f7b7f2-d7bc-47d2-9e5a-86fe6fef4b8e","Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Affiliations":null,"IsPresenting":true,"SortOrder":5,"DisplayName":"Lindahl J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47f7b7f2-d7bc-47d2-9e5a-86fe6fef4b8e","Number":1,"Affiliation":"International Livestock Research Institute","City":null,"State":null,"Country":"India","AffiliationDisplay":"International Livestock Research Institute, India"}],"AuthorsHtml":"Dey T1, Shome B, Deka R, Shome R, Lindahl J","AffiliationsHtml":"
1International Livestock Research Institute, India
"},{"Title":"Disease frequency of Brucella spp., Leptospira spp. and Coxiella burnetii in small ruminants in Tana River County, Kenya","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"f124a13e-54a1-4813-86cf-e88da83548c2","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.E - Epidemiology of emerging/zoonotic diseases","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Html":null,"PlainText":"Objectives
Bacterial infections are the leading causes of non-malarial fevers in Africa. Brucellosis, leptospirosis, and Q fever are priority zoonoses in Kenya, but little information on their epidemiology is available to date. Therefore, we implemented this longitudinal study by following up 316 small ruminants on September, November, and December 2014, and January, March, and June 2015.

Materials and methods
Sampling was done in pastoral, irrigated, and riverine settings in Tana River County. We aimed at estimating the disease burden, disease frequency, and associated risk factors for both exposure and seroconversion. We tested for: (i) Coxiella burnetii using an IgG ELISA, (ii) Leptospira spp. using the microscopic agglutination test, and (iii) Brucella spp. using the complement fixation test. We further tested seropositive animals by real-time PCR.

Results
The overall seroprevalence estimates were highest for Coxiella burnetii (20.89%, 95% confidence interval [CI]: 16.54-25.79), followed by those of Leptospira spp. (15.97%, 95% CI: 12.09-20.51) and Brucella spp. (1.27%, 95% CI: 0.35-3.21). Despite this, we observed more seroconversions for Leptospira spp. (27) than Coxiella burnetii (10) and Brucella spp. (0). Analysis of the risk factors and incidence rate estimations are still ongoing. Three animals were positive by PCR for Brucella spp. either consistently or intermittently for almost the entire study period, demonstrating the possibility of prolonged periods of transmission. One animal was also PCR-positive for C. burnetii, but we detected no pathogenic leptospires. The most prevalent leptospiral serovar was Ballum, but evidence of paradoxical reactions was seen. Therefore, infective serovars in the area should be proven by isolation of leptospires.

Conclusions
The high number of seroconverting animals in the study area shows the need for surveillance and control measures to reduce animal disease burden and possible human exposure.

Keywords
Brucellosis, leptospirosis, Q fever, coxiellosis, seroconversion, sheep and goats, land-use","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Title":"Mr.","FirstName":"Martin","LastName":"Wainaina","Position":null,"Affiliations":"1,2,3","IsPresenting":false,"SortOrder":1,"DisplayName":"Wainaina M"},{"PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Title":"Prof.","FirstName":"Uwe","LastName":"Roesler","Position":"University Professor","Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Roesler U"},{"PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Title":"Dr.","FirstName":"Bernard","LastName":"Bett","Position":"Senior Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Bett B"},{"PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Title":"Prof.","FirstName":"Sascha","LastName":"Al Dahouk","Position":"Head of Unit Product Hygiene and Disinfection Strategies","Affiliations":"1,4","IsPresenting":false,"SortOrder":4,"DisplayName":"Al Dahouk S"},{"PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Affiliations":"3","IsPresenting":true,"SortOrder":5,"DisplayName":"Lindahl J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Number":1,"Affiliation":"Federal Institute For Risk Assessment","City":"Berlin","State":null,"Country":"Germany","AffiliationDisplay":"Federal Institute For Risk Assessment, Berlin, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Number":2,"Affiliation":"Dahlem Research School, Freie Universitaet Berlin","City":"Berlin","State":null,"Country":"Germany","AffiliationDisplay":"Dahlem Research School, Freie Universitaet Berlin, Berlin, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Number":3,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Number":4,"Affiliation":"Institute for Animal Hygiene and Environmental Health, Freie Universiaet Berlin","City":"Berlin","State":null,"Country":"Berlin","AffiliationDisplay":"Institute for Animal Hygiene and Environmental Health, Freie Universiaet Berlin, Berlin, Berlin"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccea1a94-2dce-41d2-b346-a548012cb3e7","Number":5,"Affiliation":"Aachen University","City":"Aachen","State":null,"Country":"Germany","AffiliationDisplay":"Aachen University, Aachen, Germany"}],"AuthorsHtml":"Wainaina M1,2,3, Roesler U4, Bett B3, Al Dahouk S1,4, Lindahl J3","AffiliationsHtml":"
1Federal Institute For Risk Assessment, Berlin, Germany
2Dahlem Research School, Freie Universitaet Berlin, Berlin, Germany
3International Livestock Research Institute, Nairobi, Kenya
4Institute for Animal Hygiene and Environmental Health, Freie Universiaet Berlin, Berlin, Berlin
5Aachen University, Aachen, Germany
"}],"DisplayName":"Johanna Lindahl","TimeDisplay":null},{"ContactId":"5f2139a9-1c49-44a0-b8b9-d3ef206e2bc1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Yangfan","LastName":"Liu","Position":"Phd Student","Organization":"University of Copenhagen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"What can we learn from national surveillance data: Cross-sectional study on avian influenza in Denmark during the epidemic wave, June 2020 – May 2021","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8fb33f45-2afc-46f8-9134-dbf0b0869532","Html":null,"PlainText":"Purpose:
Avian influenza (AI) is a highly contagious viral disease that can infect various bird species. Low-pathogenic AI (LPAI) is prone to mutate to Highly-pathogenic AI (HPAI) in viral circulation. In Denmark, at least three AI epidemic waves have been observed in the past decade. Therefore, identifying risk factors based on national surveillance data during the latest epidemic wave could be useful for early warning of AI. The objective was to evaluate potential risk factors of AI presence in Denmark during the epidemic wave, June 2020 – May 2021.

Method:
During the 1-year period, 1,638 wild birds were passively or actively collected, and 10,751 domestic birds were actively collected by the national AI surveillance programme. We aggregated the data over location and date, resulting in 831 and 1415 unique observations for wild birds at flock level and domestic birds at herd level, respectively. We then calculated distance from the bird locations to wetland and coast as well as the land cover type of the locations using ArcGIS. Multivariate logistic analysis was adopted to evaluate potential risk factors for AI presence in Denmark.
Results:
For wild birds only season was significant (P < 0.01), where autumn had the highest risk, followed by winter (OR = 0.034). In domestic birds, distance to coast was significant (P < 0.001), with an OR of 0.94 indicating that the risk of AI presence decreases as the distance further away (unit in km). Anseriformes (e.g. duck and mallard, OR = 1) were found in higher risk significantly (P < 0.001) than Galliformes (e.g. chicken, OR = 0.11).

Conclusion:
We identified potential risk factors for wild and domestic birds. The effect of these risk factors on AI presence during an epidemic wave are important to investigate, and can contribute to an AI early warning strategy. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8fb33f45-2afc-46f8-9134-dbf0b0869532","Title":"Miss","FirstName":"Yangfan","LastName":"Liu","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Liu Y"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8fb33f45-2afc-46f8-9134-dbf0b0869532","Number":1,"Affiliation":"University of Copenhagen","City":"Frederiksberg","State":"Copenhagen","Country":"Denmark","AffiliationDisplay":"University of Copenhagen, Frederiksberg Copenhagen, Denmark"}],"AuthorsHtml":"Liu Y1","AffiliationsHtml":"
1University of Copenhagen, Frederiksberg Copenhagen, Denmark
"}],"DisplayName":"Yangfan Liu","TimeDisplay":null},{"ContactId":"9797af0a-6335-407a-883f-b4a960ac6382","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sebastian","LastName":"Llanos Soto","Position":"Phd Student","Organization":"Cornell University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Use of mathematical modeling and economic approaches to improve the control of multidrug-resistant Salmonella Dublin in heifer-raising operations","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"70582d4e-cf68-42b1-b326-3288083ebd0f","Html":null,"PlainText":"Objective. This study evaluated transmission dynamics of multidrug-resistant (MDR) Salmonella Dublin in a heifer-raising operation under different mitigation strategies to determine their cost-effectiveness.
Materials and methods. The developed preliminary Susceptible-Infected-Recovered model describes the spread of MDR S. Dublin in a heifer-raising operation in the Northeastern USA and accounts for persistently infected heifers (i.e., carriers) and the temperature-dependent decay of S. Dublin in the environment. Stochasticity was introduced through Monte Carlo simulations. Vaccination (represented as an assumed reduction in animal susceptibility to infection, and the level and duration of S. Dublin fecal shedding) and testing & culling (i.e., removal of carriers after identification through ELISA tests) strategies were each evaluated in small- (n=200), medium- (n=500), and large-sized (n=1000) operations. Mitigation strategies were compared in terms of a predicted reduction in the proportion of carriers, and the number of S. Dublin-related deaths and culled heifers by the end of a three-year simulation period compared to a do-nothing scenario. The operation’s profit was calculated as the difference between earnings from the sale of heifers and costs of mitigation strategies over the simulation period.
Results. The model predicts that testing & culling would result in a 3-times lower proportion of carriers compared to the do-nothing scenario, irrespective of the herd size, but the operation’s costs would increase 2.9-4.5 times. A vaccine with 25% effectiveness would reduce S. Dublin-related deaths by 68%, 25%, and 10% in small-, medium-, and large-sized operations, respectively, compared to the do-nothing scenario, but result in a none/negligible profit. A vaccine with 50% effectiveness would decrease mortality further and increase profit 1.3-1.4 times irrespective of the operation size.
Conclusion. Preliminary results suggest that even an imperfect vaccine may be a profitable One Health strategy for the control of MDR S. Dublin in heifer-raising operations.
Keywords: antibiotic resistance, cattle, dairy, disease prevention","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"70582d4e-cf68-42b1-b326-3288083ebd0f","Title":"Dr.","FirstName":"Sebastian","LastName":"Llanos Soto","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Llanos Soto S"},{"PresentationId":"70582d4e-cf68-42b1-b326-3288083ebd0f","Title":"Dr.","FirstName":"Martin","LastName":"Wiedmann","Position":"Faculty","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Wiedmann M"},{"PresentationId":"70582d4e-cf68-42b1-b326-3288083ebd0f","Title":"Dr.","FirstName":"Aaron","LastName":"Adalja","Position":"Faculty","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Adalja A"},{"PresentationId":"70582d4e-cf68-42b1-b326-3288083ebd0f","Title":"Dr.","FirstName":"Christopher","LastName":"Henry","Position":"Postdoctoral researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Henry C"},{"PresentationId":"70582d4e-cf68-42b1-b326-3288083ebd0f","Title":"Dr.","FirstName":"Renata","LastName":"Ivanek","Position":"Faculty","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Ivanek R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70582d4e-cf68-42b1-b326-3288083ebd0f","Number":1,"Affiliation":"Department of Population Medicine and Diagnostic Sciences, Cornell University","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca NY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70582d4e-cf68-42b1-b326-3288083ebd0f","Number":2,"Affiliation":"Department of Food Science, Cornell University","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Department of Food Science, Cornell University, Ithaca NY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70582d4e-cf68-42b1-b326-3288083ebd0f","Number":3,"Affiliation":"School of Hotel Administration, Cornell University","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"School of Hotel Administration, Cornell University, Ithaca NY, USA"}],"AuthorsHtml":"Llanos Soto S1, Wiedmann M2, Adalja A3, Henry C1, Ivanek R1","AffiliationsHtml":"
1Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca NY, USA
2Department of Food Science, Cornell University, Ithaca NY, USA
3School of Hotel Administration, Cornell University, Ithaca NY, USA
"}],"DisplayName":"Sebastian Llanos Soto","TimeDisplay":null},{"ContactId":"a9fb55f3-474d-40ac-9bd6-707728816c13","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Imogen","LastName":"Lloyd","Position":"","Organization":"University of Liverpool","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"“He’d be happier if he wasn’t chonky” – Qualitatively exploring perceptions of canine obesity using online comments","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0cb57a4-e82b-4ad8-8753-62079f423f47","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Html":null,"PlainText":"
Key words: Canine; Obesity; Overweight; Qualitative

Objectives
Canine obesity is one of the top welfare concerns facing pet dogs. Owners are often unable to successfully recognise and manage their dog’s condition, even with assistance from veterinarians. The aim of the current study was to appraise people’s perceptions, attitudes and decision-making around canine obesity and weight management, by analysing comments made in online public fora and about online video clips.

Materials and methods
Data comprised 450 posts on 15 threads from online discussion fora and 637 comments posted about 5 videos published online (at www.youtube.com). Threads and videos chosen represented a diversity of topics, dog breeds, and a range of overweight severities. Data were anonymised and analysed using thematic analysis.

Results
Four key themes emerged: 1) Happiness vs health – Individuals appeared to balance their responsibility in providing their dog with happiness and health, and differences in emphasis placed on these impacted decision-making around feeding habits and weight management; 2) Need vs. greed – Individuals felt compelled to alleviate perceived hunger in their dog, which made sticking to reduced food diets difficult for some; 3) Minimising – Individuals varied in the extent to which they perceived excess body fat to be problematic, and language used to describe their dog’s body changed when excess body fat was seen as an issue; 4) Control – Individuals’ perceived control over their dog’s body condition and food intake varied hugely, with some owners believing they had little to no control.

Conclusion
Whilst such publicly available data need to be interpreted with caution, due to a self-selection bias, this study has provided valuable insight into factors that impact feeding practices, and could impact compliance with weight reduction programs. These findings can be incorporated into future research and behaviour change initiatives to increase engagement and compliance.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Title":"Miss","FirstName":"Imogen","LastName":"Lloyd","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lloyd I"},{"PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Title":"Dr","FirstName":"Tamzin","LastName":"Furtado","Position":"Post Doc","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Furtado T"},{"PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Title":"Professor","FirstName":"Alex James","LastName":"German","Position":"Professor of Small Animal Medicine","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"German A"},{"PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Title":"Professor","FirstName":"Francine","LastName":"Watkins","Position":"Associate Pro-Vice Chancellor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Watkins F"},{"PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Title":"Dr","FirstName":"Robert","LastName":"Christley","Position":"Deputy Head of Research","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Christley R"},{"PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Title":"Dr","FirstName":"Carri ","LastName":"Westgarth","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Westgarth C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Number":1,"Affiliation":" Institute of Infection, Veterinary and Ecological Sciences, University Of Liverpool","City":"Leahurst","State":null,"Country":"UK","AffiliationDisplay":" Institute of Infection, Veterinary and Ecological Sciences, University Of Liverpool, Leahurst, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Number":2,"Affiliation":"Institute of Life Course and Medical Sciences, University of Liverpool","City":"Leahurst","State":null,"Country":"UK","AffiliationDisplay":"Institute of Life Course and Medical Sciences, University of Liverpool, Leahurst, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Number":3,"Affiliation":"Institute of Population Health, University of Liverpool","City":"Liverpool","State":null,"Country":"UK","AffiliationDisplay":"Institute of Population Health, University of Liverpool, Liverpool, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cfd9cf28-c257-4bb7-97ba-b96d74f8d568","Number":4,"Affiliation":"Dogs Trust","City":"London","State":null,"Country":"UK","AffiliationDisplay":"Dogs Trust, London, UK"}],"AuthorsHtml":"Lloyd I1, Furtado T1, German A2, Watkins F3, Christley R4, Westgarth C1","AffiliationsHtml":"
1 Institute of Infection, Veterinary and Ecological Sciences, University Of Liverpool, Leahurst, UK
2Institute of Life Course and Medical Sciences, University of Liverpool, Leahurst, UK
3Institute of Population Health, University of Liverpool, Liverpool, UK
4Dogs Trust, London, UK
"},{"Title":"Bowls Are Boring: Investigating the use of Enrichment Feeding for Pet Dogs and the Associated Perceived Benefits and Challenges","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"99b77111-0970-45fc-8e95-fc9229d05a43","Html":null,"PlainText":"Keywords: Canine; Enrichment; Feeding method

Objectives
The aim of this study was to investigate demographics of owners and dogs that use canine enrichment feeding (CEF) and the perceived benefits and barriers to its use.

Method
An online questionnaire was advertised on social media in July-August 2021, 1750 international responses were analysed. Data collected included; owner and dog demographics, feeding methods and reasons, body condition score (BCS). Multivariable logistic regression was used to determine factors associated with not using CEF. Chi square tests were used to examine associations between CEF use and owner-reported satiety and begging. Univariable binary logistic regression was used to examine associations between CEF type and BCS.

Results
Kongs, chews and activity toys were most commonly used. Owners that did not use CEF were more likely to be: male (OR=1.25, p=0.03); over 50 years old compared to 18-30 (OR=2.91, p=0.01). Dogs that did not receive CEF were more likely to: be aged ≥7 compared to ≤3 years (OR=2.87, p=<0.001); have exercise needs <30mins compared to between 30mins-1hour (OR=3.08, p=0.01). Perceived benefits of CEF, included: providing mental stimulation; reducing anxiety; and improving problem behaviours. Certain enrichment types (Kongs, snuffle mats, Lickimats, puzzle feeders, scatter feeding and scent games) were associated with reduced owner-perceived hunger and begging. Dogs fed using a slow feeder were five times more likely to be ideal BCS compared to those that never used a slow feeder (OR=5.25, p=0.005).

Conclusion
CEF may help managing dog weight through reducing owner-perceived hunger and begging which are linked to poorer compliance with food restriction. Findings also show that owners perceive CEF can improve behavioural problems. Further research using experimental designs would be beneficial to establish causal relationships. Owners that are male, older, or own older dogs or with lower exercise needs may particularly benefit from encouragement to use CEF.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"99b77111-0970-45fc-8e95-fc9229d05a43","Title":"Miss","FirstName":"Madeline","LastName":"Heys","Position":"Veterinary Science BVSc","Affiliations":"2","IsPresenting":false,"SortOrder":1,"DisplayName":"Heys M"},{"PresentationId":"99b77111-0970-45fc-8e95-fc9229d05a43","Title":"Miss","FirstName":"Imogen","LastName":"Lloyd","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Lloyd I"},{"PresentationId":"99b77111-0970-45fc-8e95-fc9229d05a43","Title":"Dr.","FirstName":"Carri","LastName":"Westgarth","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Westgarth C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"99b77111-0970-45fc-8e95-fc9229d05a43","Number":1,"Affiliation":"Institute of Infection, Veterinary and Ecological Sciences, University Of Liverpool","City":"Leahurst","State":null,"Country":"UK","AffiliationDisplay":"Institute of Infection, Veterinary and Ecological Sciences, University Of Liverpool, Leahurst, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"99b77111-0970-45fc-8e95-fc9229d05a43","Number":2,"Affiliation":"School of Veterinary Science, University of Liverpool,","City":"Leahurst","State":null,"Country":"UK","AffiliationDisplay":"School of Veterinary Science, University of Liverpool,, Leahurst, UK"}],"AuthorsHtml":"Heys M2, Lloyd I1, Westgarth C1","AffiliationsHtml":"
1Institute of Infection, Veterinary and Ecological Sciences, University Of Liverpool, Leahurst, UK
2School of Veterinary Science, University of Liverpool,, Leahurst, UK
"}],"DisplayName":"Imogen Lloyd","TimeDisplay":null},{"ContactId":"73c8fbab-7324-4788-92bf-da41295abfd6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Caryl","LastName":"Lockhart","Position":"Senior Veterinary Epidemiologist","Organization":"FAO","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Experience of frontline veterinary field epidemiology training in Africa (2018-2021)","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"93c3f7a5-801e-4fb3-9b13-e2754c4a78e9","Html":null,"PlainText":"Objectives: The study aims to describe ongoing efforts to improve the field epidemiology competencies and skills of animal health frontline workers in 17 countries in Africa through the frontline In-Service Applied Veterinary Epidemiology Training (ISAVET) programme implementation between 2018 and 2021. A secondary objective was to assess programme implementation and outcomes at national level.

Methods: Programme coordinators at national, regional and global levels collected data on ISAVET programme implementation from participating countries in Africa between 2018 and 2021. Data captured included details on national efforts to support programme implementation, National level assessments for workforce needs, training and post training indicators.

Results: A total of 20 National assessments, and 39 trainings were completed in the 17 countries during the study period. The national assessments highlighted variable epidemiological skills gaps across the 17 countries and two regions to be addressed via national field epidemiology trainings. The 39 trainings completed included frontline ISAVET (n=19), Training of Trainers (n=10) and Training of Mentors (n=10). Trainee completion rates for the trainings was 98% with a range of 80% to 100% across the countries. Trainees in the various countries produced field products (i.e. field studies, surveillance reports and data quality audits for animal health facilities) at district level with important usage at national level. Post training, trainees in the various countries have demonstrated field-level application of their acquired knowledge and skills at their workplace.

Conclusions: These results provide valuable real-world experience in strengthening national level field epidemiological capacity of animal health frontline workers and potential contributions to effective surveillance systems and early response.

Key words: field epidemiology capacity building; animal disease surveillance and reporting; Africa
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1FAO, Rome Rome, Italy
"}],"DisplayName":"Caryl Lockhart","TimeDisplay":null},{"ContactId":"ac66c79e-ec6c-462c-ba26-2dccf861ae62","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Karli","LastName":"Longthorne","Position":null,"Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/bd153ce0f9b04c00ac8dde42034812fa","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Investigating, developing, and evaluating institutional-level interventions to facilitate well-being within veterinary academia ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Html":null,"PlainText":"Elevated levels of stress, work-related burnout, and depression have been described in both the veterinary profession and academic institutions. Research from several countries focuses on how occupational and psychosocial stressors are linked to poor mental health outcomes; however, comparatively less research offers evidenced-based solutions to increase well-being in veterinary academia. Gaining insight into the perceived needs of employees at veterinary academic institutions with respect to well-being programming has the potential to reduce ill-being effects on the individuals themselves, while also mitigating downstream effects that have been observed with poor mental health of physicians: negative consequences for employee and student engagement and retention; decreased client adherence and satisfaction; and decreased patient safety and increased patient mortality.

To inform tailored interventions, 28 in-depth one-on-one interviews were conducted with employees (i.e., staff, faculty, interns, and residents) working at the Ontario Veterinary College (OVC) at the University of Guelph between April and June 2021. The interviews were audio-recorded and transcribed verbatim. Thematic analyses are being employed to illuminate the themes that characterize OVC employees’ perceived well-being needs, and the types of resources to address them. Furthermore, focus groups are being used to gain additional insights on recommendations and to develop one or more intervention(s) as recommended by participants. The longitudinal effectiveness of these intervention(s) will be evaluated using pre- and post-intervention surveys.

We anticipate in-depth insights into employees’ work-related stressors, their challenges with existing well-being supports, and specific suggestions to improve well-being at the OVC.

This novel study will investigate and address ill-being at a veterinary academic institutional level. The results will provide tailored and actionable well-being interventions for the OVC, and potentially similar veterinary academic institutions.

Keywords: veterinarian, mental health, well-being, stressors, intervention ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Title":"Miss","FirstName":"Karli","LastName":"Longthorne","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Longthorne K"},{"PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Title":"Dr.","FirstName":"Steven","LastName":"Roche","Position":"Direct and Principal Consultant","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Roche S"},{"PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Title":"Dr.","FirstName":"Margaret","LastName":"Lumley","Position":"Professor and Director of Clinical Training, dept. of Psychology","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Lumley M"},{"PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Title":"Dr.","FirstName":"Deep","LastName":"Khosa","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Khosa D"},{"PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Title":"Dr.","FirstName":"Basem","LastName":"Gohar","Position":"Assistant professor","Affiliations":"1,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Gohar B"},{"PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Title":"Ms.","FirstName":"Andria","LastName":"Jones-Bitton","Position":"Professor & Director Of Well-being Programming","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Jones-Bitton A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Number":1,"Affiliation":"Department of Population Medicine, University Of Guelph","City":"Guelph ","State":"Ontario ","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University Of Guelph, Guelph Ontario , Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Number":2,"Affiliation":"ACER Consulting Ltd. ","City":"Guelph ","State":"Ontario ","Country":"Canada ","AffiliationDisplay":"ACER Consulting Ltd. , Guelph Ontario , Canada "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Number":3,"Affiliation":"Department of Psychology, University of Guelph ","City":"Guelph ","State":"Ontario ","Country":"Canada ","AffiliationDisplay":"Department of Psychology, University of Guelph , Guelph Ontario , Canada "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"24c56e69-be71-4596-aacb-bc91a28ec676","Number":4,"Affiliation":"Centre for Research in Occupational Safety & Health, Laurentian University ","City":"Sudbury ","State":"Ontario ","Country":"Canada ","AffiliationDisplay":"Centre for Research in Occupational Safety & Health, Laurentian University , Sudbury Ontario , Canada "}],"AuthorsHtml":"Longthorne K1, Roche S1,2, Lumley M3, Khosa D1, Gohar B1,4, Jones-Bitton A1","AffiliationsHtml":"
1Department of Population Medicine, University Of Guelph, Guelph Ontario , Canada
2ACER Consulting Ltd. , Guelph Ontario , Canada
3Department of Psychology, University of Guelph , Guelph Ontario , Canada
4Centre for Research in Occupational Safety & Health, Laurentian University , Sudbury Ontario , Canada
"}],"DisplayName":"Karli Longthorne","TimeDisplay":null},{"ContactId":"a40f22b4-dfd1-4670-90d5-561783fc17c9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Vicente","LastName":"Lopez Chavarrias","Position":"PhD Student","Organization":"VISAVET Health Surveillance Centre","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4e877d09f3bc41bab73d32a2e8b218ea","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Mapping antimicrobial resistance markers for aminoglycosides and macrolides in Campylobacter in Spanish livestock","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8843ea3e-07e1-4949-9146-59cb5f6a796f","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Html":null,"PlainText":"Objective(s)
Campylobacteriosis is currently the most important foodborne zoonosis in Europe. Treatment of severe clinical cases is hampered when antimicrobial resistance (AMR) occurs, especially if it involves aminoglycosides (gentamicin, streptomycin) and macrolides (erythromicin). We assessed the AMR phenotypes/genotypes of 152 isolates (69 C. coli, 83 C. jejuni) with the aim of determining the genomic mechanisms involved in resistance/co-resistance to these antimicrobial classes over time.

Materials and methods
The isolates (n=100) were recovered in the frame of the Spanish AMR monitoring program in 2007-2018 from faecal samples of broilers (39), turkeys (26), pigs (17) and cattle (18). They were selected based on their phenotype to include isolates resistant to one or more of the antimicrobials streptomycin (n=81), gentamicin (n=25) and erythromycin (n=51). Their genotype was assessed by whole genome sequencing. Short-reads were analysed with an ‘in-house’ pipeline and resistance markers (RMs) were identified using ResFinder/CARD.

Results
Between one and six RMs were found in >90% of the isolates resistant to each antimicrobial (Figure 1), with more types identified among macrolide-resistant (10) and gentamicin-resistant strains (8) compared with streptomycin-resistant strains (5). The median number of RMs present in resistant strains was 2 for erythromycin and 1 for streptomycin and gentamicin. Plasmid replicon rep22 was associated with resistance to all three antimicrobials.

Conclusion
Our results indicate that resistance to gentamicin and macrolides is mediated by a larger variety of genomic mechanisms compared to streptomycin, which could indicate different dynamics in the transmission and/or persistence of these resistances.

antimicrobial resistance, campylobacter, aminoglycosides, macrolides, co-resistance","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/715c91e229f04c05aa30baca86a80ff9","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Title":"Mr","FirstName":"V.","LastName":"Lopez-Chavarrias","Position":"PhD candidate, Quantitative Epidemiology Section","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lopez-Chavarrias V"},{"PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Title":"Mrs","FirstName":"M.","LastName":"Ugarte-Ruiz","Position":"Head of Foodborne Diseases Section","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ugarte-Ruiz M"},{"PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Title":"Mr","FirstName":"J.L.","LastName":"Saez","Position":"Head of Animal Health, Hygiene and Trazability","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Saez J"},{"PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Title":"Mr","FirstName":"M.A.","LastName":"Moreno","Position":"Professor in Epidemiology","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Moreno M"},{"PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Title":"Mr","FirstName":"L.","LastName":"Dominguez","Position":"Professor in Microbiology","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Dominguez L"},{"PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Title":"Mr","FirstName":"J.","LastName":"Alvarez","Position":"Head of Quantitative Epidemiology Section ","Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Alvarez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Number":1,"Affiliation":"VISAVET Health Surveillance Centre (University Complutense of Madrid)","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"VISAVET Health Surveillance Centre (University Complutense of Madrid), Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Number":2,"Affiliation":"Ministry of Agriculture, Fisheries and Food","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"Ministry of Agriculture, Fisheries and Food, Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36f20ac4-366c-4e3e-9785-7d1e9832b878","Number":3,"Affiliation":"Animal Health Department, University Complutense of Madrid","City":"Madrid","State":null,"Country":"Spain","AffiliationDisplay":"Animal Health Department, University Complutense of Madrid, Madrid, Spain"}],"AuthorsHtml":"Lopez-Chavarrias V1, Ugarte-Ruiz M1, Saez J2, Moreno M3, Dominguez L3, Alvarez J3","AffiliationsHtml":"
1VISAVET Health Surveillance Centre (University Complutense of Madrid), Madrid, Spain
2Ministry of Agriculture, Fisheries and Food, Madrid, Spain
3Animal Health Department, University Complutense of Madrid, Madrid, Spain
"}],"DisplayName":"Vicente Lopez Chavarrias","TimeDisplay":null},{"ContactId":"12da8dba-1b5c-4556-8639-0e91541a0a5c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jennifer","LastName":"Lord","Position":"","Organization":"The University of Tennessee","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Predictors of multidrug and methicillin resistance among staphylococci isolated from canine clinical specimens","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"58b5115e-d65e-4876-b59d-2710357fc287","Html":null,"PlainText":"Background and Objective: Understanding drivers of multidrug resistance (MDR) and methicillin resistance, which have increased among canine staphylococcal isolates, is essential to inform antimicrobial use practices. Therefore, the objective of this study was to identify predictors of MDR and methicillin resistance among Staphylococcus spp. commonly isolated from canine clinical specimens.

Methods: This retrospective study used records of canine specimens submitted to the University of Tennessee College of Veterinary Medicine Clinical Bacteriology Laboratory for bacterial culture and antimicrobial susceptibility testing between 2006 and 2017. Records from 7,805 specimens positive for the following Staphylococcus species were included for analysis: S. pseudintermedius, S. aureus, S. coagulans, and S. schleiferi. Multivariable logistic regression was used to identify predictors of MDR and methicillin resistance among these isolates.

Results: Multidrug (42.1%) and methicillin resistance (31.8%) were relatively common. Staphylococcus species, specimen site, and clinical setting were significant (p<0.001) predictors of both outcomes. Compared to S. pseudintermedius, S. schleiferi had higher odds of methicillin resistance, while S. aureus, S. coagulans and S. schleiferi had lower odds of MDR. Isolates from cutaneous and joint/bone specimens had higher odds of MDR and methicillin resistance compared to otic isolates, while urine/bladder isolates had lower odds of methicillin resistance. Isolates from hospital patients had higher odds of MDR and methicillin resistance than submissions by referring veterinarians.

Conclusions: Staphylococcus isolates in this study had substantial levels of MDR and methicillin resistance. Comparable odds of MDR and methicillin resistance among cutaneous isolates from different clinical settings suggests that complicated or recurrent skin infections may be treated in primary care practices more commonly than other types of infections. Judicious antimicrobial use, informed by culture and susceptibility testing, is important to limit treatment failures and curb selection pressure.

Key Words: Multidrug resistance; methicillin resistance; Staphylococcus; epidemiology; canine
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"58b5115e-d65e-4876-b59d-2710357fc287","Title":"Dr.","FirstName":"Jennifer","LastName":"Lord","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lord J"},{"PresentationId":"58b5115e-d65e-4876-b59d-2710357fc287","Title":null,"FirstName":"Nick","LastName":"Millis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Millis N"},{"PresentationId":"58b5115e-d65e-4876-b59d-2710357fc287","Title":null,"FirstName":"Rebekah Duckett","LastName":"Jones","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Jones R"},{"PresentationId":"58b5115e-d65e-4876-b59d-2710357fc287","Title":null,"FirstName":"Brian","LastName":"Johnson","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Johnson B"},{"PresentationId":"58b5115e-d65e-4876-b59d-2710357fc287","Title":"Dr.","FirstName":"Stephen","LastName":"Kania","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Kania S"},{"PresentationId":"58b5115e-d65e-4876-b59d-2710357fc287","Title":"Dr.","FirstName":"Agricola","LastName":"Odoi","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Odoi A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"58b5115e-d65e-4876-b59d-2710357fc287","Number":1,"Affiliation":"Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, The University of Tennessee","City":"Knoxville","State":"TN","Country":"USA","AffiliationDisplay":"Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, The University of Tennessee, Knoxville TN, USA"}],"AuthorsHtml":"Lord J1, Millis N1, Jones R1, Johnson B1, Kania S1, Odoi A1","AffiliationsHtml":"
1Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, The University of Tennessee, Knoxville TN, USA
"}],"DisplayName":"Jennifer Lord","TimeDisplay":null},{"ContactId":"4cb9311e-233f-4390-b2aa-a7d17350b076","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Cecilia","LastName":"Lucio Rodriguez","Position":"Master's Student","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Cost estimation of assisted calvings on western Canadian cow-calf operations","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"dc35a314-8485-4d99-b2ba-92100d523430","Html":null,"PlainText":"During parturition, a cow can experience a difficult birth that may require human assistance. This can lead to negative consequences such as disease and death, as well as reduced future performance, all which result in economic loss.

Objectives: The objective of this study was to estimate the cost of an assisted calving on cow-calf operations in western Canada.

Materials and method: Records from 2015 to 2020 from five cow-calf operations located in the provinces of Alberta and Saskatchewen were used to assess the cost of an assisted calving. Data included in the economic model for the calf were stillbirths, calving ease score, mortality before weaning, treatments, and weaning weights. Cow records collected were calving ease score, date of calving, treatments during the 30 days post-partum, mortality, pregnancy risk, and the average age at calving. Cows’ and calves’ treatments selected were related to problems after calving. These data were included in the economic model that calculated costs by multiplying the probability of an event by the cost of that event and also accounted for other information such as labour cost, cull revenue, and weaned calf revenue from published sources (e.g., Canfax, AgriProfit, Statistics Canada, and the Canadian Veterinary Medical Association).

Results: Preliminary results indicated that on average, assisted calvings in cows cost $204.42 more than unassisted ones, while in heifers there was an expected cost difference of $495.85. Further analysis will be done with additional data from other operations to refine these estimates and calculate a measure of variance.

Conclusion: An assisted calving had a higher cost compared to an unassisted calving for the producer due to lost revenue of calves that died before weaned, additional expenses that may occur during the assistance, and potential health problems related to a difficult birth.

Keywords: calving assistance, cost estimation, economic model, beef cattle
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"dc35a314-8485-4d99-b2ba-92100d523430","Title":"Miss","FirstName":"Cecilia","LastName":"Lucio Rodriguez","Position":"Master's Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lucio Rodriguez C"},{"PresentationId":"dc35a314-8485-4d99-b2ba-92100d523430","Title":"Dr.","FirstName":"Claire","LastName":"Windeyer","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Windeyer C"},{"PresentationId":"dc35a314-8485-4d99-b2ba-92100d523430","Title":"MSc","FirstName":"Kathy","LastName":"Larson","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Larson K"},{"PresentationId":"dc35a314-8485-4d99-b2ba-92100d523430","Title":"Dr.","FirstName":"Ed","LastName":"Pajor","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Pajor E"},{"PresentationId":"dc35a314-8485-4d99-b2ba-92100d523430","Title":"Dr.","FirstName":"Jennifer M.","LastName":"Pearson","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Pearson J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dc35a314-8485-4d99-b2ba-92100d523430","Number":1,"Affiliation":" Department of Production Animal Health, University of Calgary Faculty of Veterinary Medicine","City":"3330 Hospital Drive NW, Calgary, ","State":"Alberta","Country":"Canada","AffiliationDisplay":" Department of Production Animal Health, University of Calgary Faculty of Veterinary Medicine, 3330 Hospital Drive NW, Calgary, Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dc35a314-8485-4d99-b2ba-92100d523430","Number":2,"Affiliation":"Department of Agricultural and Resource Economics, University of Saskatchewan","City":"51 Campus Drive, Saskatoon, ","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"Department of Agricultural and Resource Economics, University of Saskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan, Canada"}],"AuthorsHtml":"Lucio Rodriguez C1, Windeyer C1, Larson K2, Pajor E1, Pearson J1","AffiliationsHtml":"
1 Department of Production Animal Health, University of Calgary Faculty of Veterinary Medicine, 3330 Hospital Drive NW, Calgary, Alberta, Canada
2Department of Agricultural and Resource Economics, University of Saskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan, Canada
"}],"DisplayName":"Cecilia Lucio Rodriguez","TimeDisplay":null},{"ContactId":"2e1ea913-68ca-4408-b32d-d3c91730ea0a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sara","LastName":"Lysholm","Position":"","Organization":"Swedish University of Agricultural Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Overcoming barriers for a One Health approach to WaSH interventions in Burkina Faso, Kenya and Mozambique ","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Html":null,"PlainText":"Here we describe a new international project and network for linking two fields of research and development; WaSH and One Health. Water, sanitation and hygiene (WaSH) interventions play critical roles in achieving the sustainable development goals, in particular the goals on no poverty (SDG1), zero hunger (SDG2) and good health and wellbeing (SDG3). WaSH interventions effectively minimize infectious diseases, the need for antibiotic treatments, and thereby also the selective pressure for resistant bacteria and development of antimicrobial resistance (AMR). However, WaSH interventions tend to focus on people and disregard the role of animals and the environment in the development and spread of infectious diseases and AMR. To better incorporate these aspects, a holistic One Health approach, that goes beyond the traditional domains of WaSH, is needed.
The aim of this project is to establish a transdisciplinary network of Swedish and international collaborators in Burkina Faso, Kenya and Mozambique and develop novel concepts in applying a One Health approach to WaSH. By enabling knowledge exchange and stimulating a science-policy dialogue, the project is contributing to capacity development in addressing neglected links between One Health and WaSH. The network is organizing thematic webinars for awareness raising and sharing of lessons learned on the importance of WaSH interventions in limiting the spread of infectious diseases and AMR. The project is also supporting small scoping studies in each of the collaborating countries, where gaps in research and policy are investigated and potential opportunities to strengthen cross-sectoral WaSH interventions are captured. In summary, by stimulating transdisciplinary conversations, this project seeks to investigate enablers and barriers to applying a One Health framing to WaSH. Through facilitating the inclusion of the neglected links between WaSH interventions and human, animal and environmental health, this project can contribute to reduce the burden of diseases and AMR. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Title":"Dr.","FirstName":"Sara","LastName":"Lysholm","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Lysholm S"},{"PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Title":"Dr.","FirstName":"Linus","LastName":"Dagerskog","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Dagerskog L"},{"PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Title":"Dr.","FirstName":"Sarah","LastName":"Dickin","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Dickin S"},{"PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Affiliations":"1,2,4,5","IsPresenting":false,"SortOrder":4,"DisplayName":"Lindahl J"},{"PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Title":"Dr.","FirstName":"Kristina","LastName":"Osbjer","Position":null,"Affiliations":"1,6","IsPresenting":false,"SortOrder":5,"DisplayName":"Osbjer K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Number":1,"Affiliation":"Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Swedish University of Agricultural Sciences, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Number":2,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Number":3,"Affiliation":"Stockholm Environment Institute","City":"Stockholm","State":null,"Country":"Sweden","AffiliationDisplay":"Stockholm Environment Institute, Stockholm, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Number":4,"Affiliation":"Swedish National Veterinary Institute","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Swedish National Veterinary Institute, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Number":5,"Affiliation":"Uppsala University","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Uppsala University, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f85ae61b-b865-4a33-9ac9-d0591f6002c0","Number":6,"Affiliation":"International Centre for Antimicrobial Resistance Solutions","City":"Copenhagen","State":null,"Country":"Denmark","AffiliationDisplay":"International Centre for Antimicrobial Resistance Solutions, Copenhagen, Denmark"}],"AuthorsHtml":"Lysholm S1,2, Dagerskog L3, Dickin S3, Lindahl J1,2,4,5, Osbjer K1,6","AffiliationsHtml":"
1Swedish University of Agricultural Sciences, Uppsala, Sweden
2International Livestock Research Institute, Nairobi, Kenya
3Stockholm Environment Institute, Stockholm, Sweden
4Swedish National Veterinary Institute, Uppsala, Sweden
5Uppsala University, Uppsala, Sweden
6International Centre for Antimicrobial Resistance Solutions, Copenhagen, Denmark
"}],"DisplayName":"Sara Lysholm","TimeDisplay":null},{"ContactId":"2cc93578-d0a5-4e22-b203-b051ad5ee559","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gustavo","LastName":"Machado","Position":"Assistant Professor","Organization":"North Carolina State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Modeling the role of mortality-based response triggers on the effectiveness of African swine fever control strategies in Brazil","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Html":null,"PlainText":"In the absence of effective vaccines, ASF control strategies are dependent on mass depopulation and shipment restrictions. We developed a multiscale model for the transmission of ASF, combining a spatially explicit network model of animal shipments with a deterministic compartmental model for the dynamics of ASF strains within 3 km×3 km pixels in one Brazilian state. The model outcomes: epidemic duration, number of secondary infected farms and pigs, and distance of ASF spread, the spatial distribution of ASF epidemics. We analyzed quarantine-based control interventions in the context of mortality trigger thresholds for the deployment of control strategies.

The epidemic of moderately virulent strain was 11.2 days, assuming the first infection is detected (best-case scenario), and 15.9 days when detection is triggered at 10% mortality. For a highly virulent strain, the epidemic was 6.5 days and 13.1 days, respectively. The distance from the source to infected locations was not dependent on strain virulence. Under the best-case scenario, we projected total infected farms of 23.77 farms and 18.8 farms for the moderate and highly virulent strains. At 10% mortality-trigger, the number of infected farms was on average 46.27 farms and 42.96 farms. We also demonstrated that the establishment of ring quarantine zones regardless of size (i.e. 5 km, 15 km) was outperformed by animal movement tracking. The proposed modelling framework provides an evaluation of ASF epidemic potential, the rank of quarantine-based control strategies, and assists animal health authorities in planning the national preparedness and response plan.
Keywords: network, dynamics, surveillance, business continuity.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b296acc0b7fe498f978f5ba0cae5e34a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Title":"Mr.","FirstName":"Gustavo","LastName":"Machado","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Machado G"},{"PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Title":"PhD","FirstName":"Trevor","LastName":"Farthing","Position":"Post doc","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Farthing T"},{"PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Title":"Dr.","FirstName":"Mathieu","LastName":"Andraud","Position":"Infectious diseases modelling researcher","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Andraud M"},{"PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Title":"MS.","FirstName":"Francisco","LastName":"Lopes","Position":"Official veterinary service","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Lopes F"},{"PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Title":"PhD","FirstName":"Cristina","LastName":"Lanzas","Position":"Full Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Lanzas C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Number":1,"Affiliation":"NC State College of Veterinary Medicine","City":"Raleigh","State":"North Carolina","Country":"USA","AffiliationDisplay":"NC State College of Veterinary Medicine, Raleigh North Carolina, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Number":2,"Affiliation":"Anses, French Agency for Food, Environmental and Occupational Health & Safety, Ploufragan-Plouzané-Niort Laboratory, Epidemiology, Health and Welfare Research Unit","City":"Ploufragan","State":null,"Country":"France","AffiliationDisplay":"Anses, French Agency for Food, Environmental and Occupational Health & Safety, Ploufragan-Plouzané-Niort Laboratory, Epidemiology, Health and Welfare Research Unit, Ploufragan, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4026ff16-b5d4-4de3-8e88-a4b7ad7b94df","Number":3,"Affiliation":"Departamento de Defesa Agropecuária, Secretaria da Agricultura, Pecuária e Desenvolvimento Rural","City":"Porto Alegre","State":"Rio Grande do Sul","Country":"Brazil","AffiliationDisplay":"Departamento de Defesa Agropecuária, Secretaria da Agricultura, Pecuária e Desenvolvimento Rural, Porto Alegre Rio Grande do Sul, Brazil"}],"AuthorsHtml":"Machado G1, Farthing T1, Andraud M2, Lopes F3, Lanzas C1","AffiliationsHtml":"
1NC State College of Veterinary Medicine, Raleigh North Carolina, USA
2Anses, French Agency for Food, Environmental and Occupational Health & Safety, Ploufragan-Plouzané-Niort Laboratory, Epidemiology, Health and Welfare Research Unit, Ploufragan, France
3Departamento de Defesa Agropecuária, Secretaria da Agricultura, Pecuária e Desenvolvimento Rural, Porto Alegre Rio Grande do Sul, Brazil
"}],"DisplayName":"Gustavo Machado","TimeDisplay":null},{"ContactId":"24acfb8f-c836-4de1-aadd-10cf8c103bf2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Paul","LastName":"MacIsaac","Position":"Senior Veterinary Science Specialist","Organization":"Canadian Food Inspection Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A methodology to evaluate the surveillance systems of potential trading partners ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"fa1c5ba4-471d-445d-96a9-e4fa7b2d0754","Html":null,"PlainText":"Objective: Informed risk assessments with respect to imports of animal-based commodities require systematic, transparent, reproducible, defensible and evidence-based evaluations of trading partners in order to provide “confidence in the capacity and capability of the exporting country’s Competent Authority to satisfactorily substantiate a claim that the pathogenic agent is absent” . Internationally recognized methods to evaluate the claim of disease freedom of a country are few and many of these are not be able to be applied to all surveillance systems.

M&M: The Canadian Food Inspection Agency’s Animal Health Science Directorate has developed a methodology to evaluate a foreign country’s surveillance system based on reviews and adaptations of existing and published surveillance system evaluation methods. Attributes of a surveillance system are evaluated based on evidence provided by the foreign country. This evidence is then analyzed using a standardized methodology leading to an estimate of confidence in the country’s freedom claim.

Results: The methodology has been applied in one foreign country evaluation for its disease status regarding specific avian diseases of concern. The targeted questionnaire developed to assess selected surveillance system attributes led to a rapid turnaround time for response. Analysis of the information and evidence provided led to the identification of strengths and weaknesses in the country’s system. The reports produced provided risk managers confidence to develop relevant import conditions.

Conclusion: Through the recent development and use of this methodology, the uncertainty described in import risk assessments has been better qualified, giving risk managers more confidence in their decision-making. This methodology can be adapted to any commodity, is collaborative, holistic and captures the intent of a One Health approach to risk-based approaches to country evaluations and risk assessments.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fa1c5ba4-471d-445d-96a9-e4fa7b2d0754","Title":"Dr.","FirstName":"Paul","LastName":"MacIsaac","Position":"Senior Veterinary Science Specialist","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"MacIsaac P"},{"PresentationId":"fa1c5ba4-471d-445d-96a9-e4fa7b2d0754","Title":"Dre","FirstName":"Caroline","LastName":"Dubé","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Dubé C"},{"PresentationId":"fa1c5ba4-471d-445d-96a9-e4fa7b2d0754","Title":"Dr.","FirstName":"Farouk","LastName":"El Allaki","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"El Allaki F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fa1c5ba4-471d-445d-96a9-e4fa7b2d0754","Number":1,"Affiliation":"CFIA","City":"Ottawa","State":"ON","Country":"Canada","AffiliationDisplay":"CFIA, Ottawa ON, Canada"}],"AuthorsHtml":"MacIsaac P, Dubé C, El Allaki F","AffiliationsHtml":"
1CFIA, Ottawa ON, Canada
"},{"Title":"Risk-based Country Evaluations (RBaCE) – a methodology to support evaluation of foreign Competent Authorities for trade purposes","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1b208b1c-9153-4c53-80d6-eba6ae7e2727","Html":null,"PlainText":"Objective: Informed risk assessments pertaining to imports of animal-based commodities require systematic, transparent, reproducible, defensible and evidence-based evaluations of trading partners in order to provide “confidence in the capacity and capability of the exporting country’s Competent Authority (CA) to satisfactorily substantiate a claim that the pathogenic agent is absent” . Internationally recognized methods to accomplish this objective are lacking leaving countries to modify existing protocols without guidance on what or how to adapt these for this purpose.

M&M: The Canadian Food Inspection Agency’s Animal Health Risk Assessment Section has developed such a tool that is flexible and adaptive. Through review and adaptation of existing capacity assessment tools, it provides a standardized means of scoping an evaluation, collecting relevant information from the exporting CA, evaluating the information provided and reporting formats to risk managers for further decision-making. This methodology has been employed for several evaluations and continues to evolve.

Results: To date, the evaluations performed using this methodology have provided close collaborations with various stakeholders by forming evaluation teams; provided clear areas of strength and improvement based on the evidence provided by the exporting CA so as to meet Canada’s import requirements; rapid turnaround times for responses to requests for information (questionnaires) as well the analysis and drafting of reports by the evaluation team.

Conclusion: The development and use of this methodology has led to better descriptions of the uncertainty described in import risk assessments which in turn has given risk managers more confidence in their decision-making. This methodology can be adapted to any animal commodity, is collaborative, holistic and captures the intent of a One Health approach to risk-based approaches to country evaluations and risk assessments.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1b208b1c-9153-4c53-80d6-eba6ae7e2727","Title":"Dr.","FirstName":"Paul","LastName":"MacIsaac","Position":"Senior Veterinary Science Specialist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"MacIsaac P"},{"PresentationId":"1b208b1c-9153-4c53-80d6-eba6ae7e2727","Title":"Dre","FirstName":"Caroline","LastName":"Dubé","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Dubé C"},{"PresentationId":"1b208b1c-9153-4c53-80d6-eba6ae7e2727","Title":"Mrs.","FirstName":"Clarice","LastName":"Lulai-Angi","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Lulai-Angi C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1b208b1c-9153-4c53-80d6-eba6ae7e2727","Number":1,"Affiliation":"CFIA","City":"Ottawa","State":"ON","Country":"Canada","AffiliationDisplay":"CFIA, Ottawa ON, Canada"}],"AuthorsHtml":"MacIsaac P1, Dubé C, Lulai-Angi C","AffiliationsHtml":"
1CFIA, Ottawa ON, Canada
"}],"DisplayName":"Paul MacIsaac","TimeDisplay":null},{"ContactId":"aca606b8-0232-42a5-bdde-78b7d4b975fc","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Brett","LastName":"MacKinnon","Position":"Scientific Officer","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3aeba0f9b20b486a8cf96c4ff18046a9","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/brett-mackinnon-7332a4106","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/brett-mackinnon-7332a4106","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/brett-mackinnon-7332a4106","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/brett-mackinnon-7332a4106","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Improving biosecurity in the tilapia value chain using a risk analysis approach ","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Html":null,"PlainText":"Objectives
To describe infectious agents of tilapia that may adversely affect tilapia production and identify potential biosecurity measures that can be implemented at critical control points (CCPs) along the tilapia value chain.

Methods
We reviewed the literature to identify important bacterial, parasitic, viral, and fungal diseases reported in cultured tilapia and potential risk factors for outbreaks. Risk analysis was discussed as an approach to control the introduction and spread of infectious diseases within the tilapia value chain. Potential risk factors and mitigation measures to be implemented at CCPs were identified at each step along the value chain. Special attention was given to practical measures that can be implemented for smallholders in developing countries with limited capacity.

Results
Infectious diseases caused by 119 pathogens have been reported to threaten tilapia production. Water serves as the greatest risk for pathogen introduction in open aquaculture systems, particularly in cage culture. The control of diseases in the tilapia sector may involve a combination of biosecurity measures at multiple points along the value chain. The complete elimination of disease risks along the value chain is not realistic. Surveillance and contingency planning may promote a rapid disease response, which can reduce the consequences associated with outbreaks and the overall risk. Smallholders often have long or diverse value chains, which pose an increased risk due to more opportunities for disease introduction and spread between points.

Conclusion
The control of diseases of tilapia requires a multi-faceted approach, with risk-based control measures chosen based on their feasibility, effectiveness, and sustainability. The Progressive Management Pathway for Improving Aquaculture Biosecurity (PMP/AB), a risk-based, collaborative, and progressive management approach combined with the systematic approach of Hazard Analysis Critical Control Point (HAACP), offers a strategic way of improving biosecurity in the tilapia value chain.

Keywords: aquaculture, tilapia, value chain, risk analysis, PMP/AB
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Title":"Dr.","FirstName":"Brett","LastName":"MacKinnon","Position":"Scientific Officer","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"MacKinnon B"},{"PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Title":"Dr.","FirstName":"Partho P.","LastName":"Debnath","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Debnath P"},{"PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Title":"Dr.","FirstName":"Sophie","LastName":"Fridman","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Fridman S"},{"PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Title":"Dr.","FirstName":"Bin","LastName":"Hao","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Hao B"},{"PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Title":"Dr.","FirstName":"Melba","LastName":"Bondad-Reantaso","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Bondad-Reantaso M"},{"PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Title":"Dr.","FirstName":"Omid","LastName":"Nekouei","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Nekouei O"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Number":1,"Affiliation":"Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong","City":"Hong Kong","State":null,"Country":"Hong Kong SAR","AffiliationDisplay":"Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Number":2,"Affiliation":"Center of Excellence in Fish Infectious Diseases (CE FID), Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University","City":"Bangkok","State":null,"Country":"Thailand","AffiliationDisplay":"Center of Excellence in Fish Infectious Diseases (CE FID), Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d58e9e6e-2312-4fca-928d-f3d4e2ec99af","Number":3,"Affiliation":"Food and Agriculture Organization of the United Nations, Fisheries and Aquaculture Division","City":"Rome","State":null,"Country":"Italy","AffiliationDisplay":"Food and Agriculture Organization of the United Nations, Fisheries and Aquaculture Division, Rome, Italy"}],"AuthorsHtml":"MacKinnon B1, Debnath P2, Fridman S3, Hao B3, Bondad-Reantaso M3, Nekouei O1","AffiliationsHtml":"
1Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong SAR
2Center of Excellence in Fish Infectious Diseases (CE FID), Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
3Food and Agriculture Organization of the United Nations, Fisheries and Aquaculture Division, Rome, Italy
"}],"DisplayName":"Brett MacKinnon","TimeDisplay":null},{"ContactId":"b90c1114-3de0-4627-9577-b8bc066bd1f8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Dennis","LastName":"Makau","Position":"Post-doctoral researcher","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c975a3a9ba9142f4bc936dae6af36a37","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Integrating animal movements with phylogeography to model the spread of PRRS virus in the U.S. ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"0862b0d0-27f4-4e0c-b764-b82525142b47","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.A - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Html":null,"PlainText":"Phylodynamic models are a valuable tool in investigating and understanding disease transmission in human and animal populations. For highly mobile hosts frequently involved in long-distance movements (like humans and livestock), inclusion of movement data and other population connectivity attributes in phylodynamic analysis enables us to quantify the relative importance of specific types of population connectivity, like age-stratified animal movements, in pathogen spread.
To understand spatial diffusion and evolution of a rapidly spreading sub-lineage (L1A) of porcine reproductive and respiratory syndrome virus (PRRSV) type 2 in the U.S. between 2014-17, we incorporated empirical pig movements, environmental and spatial data in a Bayesian phylodynamic model. PRRSV is the costliest endemic pathogen affecting pigs in the U.S.; this virulent sub-lineage emerged in 2014 and is currently the dominant sub-lineage in the U.S. swine industry.
Data included 984 ORF5 PRRSV-L1A sequences from a swine dense production region (~ 85,000 mi2) in the U.S. from 2014-17. We divided the study area into sectors over which we summarized model covariates and between-sector animal movements by age (wean: 3-4 weeks; feeder: 8-25 weeks; breeding: ≥21 weeks).
Using a discrete-space phylogeographic generalized linear model in Bayesian evolutionary analysis by sampling trees (BEAST), we inferred that feeder pig movements, spatial adjacency of sectors, and farm density in the destination sector increased between-sector diffusion rates of L1A. L1A was introduced in the study area in early 2013; genetic diversity and effective population size peaked in 2015 and fluctuated seasonally in subsequent years (summer peaks).
This study highlights the importance of animal movements, and for the foremost demonstrates that feeder-pig movements shaped spatial spread of PRRSV more than wean/breeding movements. The inclusion of type-stratified movement data in phylodynamic models may enhance detection of vital routes for pathogen spread and intervention opportunities to manage infections.

Keywords: Bayesian inference; molecular epidemiology; livestock networks
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Title":"Dr.","FirstName":"Dennis","LastName":"Makau","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Makau D"},{"PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Title":"Dr.","FirstName":"Moh A. ","LastName":"Alkhamis","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Alkhamis M"},{"PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Title":"Dr.","FirstName":"Igor A. D. ","LastName":"Paploski","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Paploski I"},{"PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Title":"Prof.","FirstName":"Cesar A. ","LastName":"Corzo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Corzo C"},{"PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Title":"Dr.","FirstName":"Samantha","LastName":"Lycett","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Lycett S"},{"PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Title":"Prof.","FirstName":"Kimberly ","LastName":"VanderWaal","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"VanderWaal K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Number":1,"Affiliation":"Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Number":2,"Affiliation":"Department of Epidemiology and Biostatistics, Faculty of Public Health, Health Sciences Center, Kuwait University","City":null,"State":null,"Country":"Kuwait","AffiliationDisplay":"Department of Epidemiology and Biostatistics, Faculty of Public Health, Health Sciences Center, Kuwait University, Kuwait"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9afb045c-3fec-4217-8f7a-dcbbf04e0e98","Number":3,"Affiliation":"Roslin Institute, University of Edinburgh","City":"Edinburgh","State":null,"Country":"United Kingdom","AffiliationDisplay":"Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom"}],"AuthorsHtml":"Makau D1, Alkhamis M2, Paploski I1, Corzo C1, Lycett S3, VanderWaal K1","AffiliationsHtml":"
1Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul MN, USA
2Department of Epidemiology and Biostatistics, Faculty of Public Health, Health Sciences Center, Kuwait University, Kuwait
3Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom
"}],"DisplayName":"Dennis Makau","TimeDisplay":null},{"ContactId":"af886d25-f747-440a-be17-f0198ac6b013","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"George","LastName":"Makingi","Position":"Researcher","Organization":"Sokoine University of Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b57bd76d92c9461387ff00dce889ee96","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Seroprevalence of human Taenia solium cysticercosis and associated demographic factors in central and southern, Tanzania","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"21acf0f1-a588-48bd-8d32-a733849e43d5","Html":null,"PlainText":"Objective: This study was performed to estimate seroprevalence of human cysticercosis and associated demographic factors in Kongwa and Songwe Districts, central and southern parts of Tanzania, respectively.

Methods: This cross-sectional study included 42 villages (28 from Kongwa, 14 from Songwe) randomly selected with probability proportion to pig population size. Blood samples were collected from 1552 participants (1040 from Kongwa, and 512 from Songwe), one per household and tested for human T. solium cysticercosis using antigen-ELISA and Western blot IgG-assay.

Results: Twenty-nine participants (1.9%) had circulating antigens for T.solium (active cysticercosis) while 32 (2.1%) had antibodies against T. solium cysticercosis (active cysticercosis or only exposure). A total of 19 (1.2%) individuals tested positive for both tests. Males had significantly higher prevalence of T. solium cysticercosis than female based on antigen-ELISA (OR 4.17; 95% CI: 1.25- 13.85), Westernblot IgG assay (OR 4.67; 95% CI: 1.42-15.5) and both tests (OR=8.64, 95%C.I.15-64.86). Participants in the age of 15-25 years had higher prevalence of antigen-ELISA seropositivity than older persons (OR 3.98; 95% C1: 1.51-10.01). This study has estimated prevalence of active as well as exposure to T. solium cysticercosis in Kongwa and Songwe districts.

Conclusion: Males and youth seem to be more prone to human cysticercosis, most likely because of their increased mobility, which may put them in higher chances of eating outside their homes and possibly in unhygienic situations in these remote settings with limited supply of safe water and sanitary facilities. Appropriate interventions, including health education, should be implemented to control the infection in central and southern highlands of Tanzania.

Keywords: Human; Taenia solium ; Cysticercosis; seroprevalence

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"21acf0f1-a588-48bd-8d32-a733849e43d5","Title":"Mr.","FirstName":"George","LastName":"Makingi","Position":"Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Makingi G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"21acf0f1-a588-48bd-8d32-a733849e43d5","Number":1,"Affiliation":"Sokoine University Of Agriculture","City":"Morogoro","State":"Morogoro","Country":"Tanzania","AffiliationDisplay":"Sokoine University Of Agriculture, Morogoro Morogoro, Tanzania"}],"AuthorsHtml":"Makingi G1","AffiliationsHtml":"
1Sokoine University Of Agriculture, Morogoro Morogoro, Tanzania
"}],"DisplayName":"George Makingi","TimeDisplay":null},{"ContactId":"6ce5f835-78c7-4e3b-a27b-d6beccce4a7a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kohei","LastName":"Makita","Position":"Professor Of Veterinary Epidemiology","Organization":"Rakuno Gakuen University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0c85c06e98c948da8a8bbb09fc502d44","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Quantitative risk assessment for beta lactamase producing Escherichia coli of dairy origin in vegetables","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"770ebe47-1f48-44bc-92c3-0bcde88690e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.C - Risk Assessment","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Html":null,"PlainText":"Objective
Outbreaks of food poisoning associated with vegetables contaminated with Esherichia coli have been reported globally. This study was conducted to assess the risk for beta-lactamase (BL) producing E.coli of dairy farm origin in vegetables in Japan.

Materials and methods
A risk assessment model connecting from dairy farms to vegetable farms was developed. The data on incidences of indicate diseases and antimicrobial use, and resistance against BL in E. coli from cattle were obtained from agricultural insurance program, and Japan Veterinary Antimicrobial Resistance Monitoring (JVARM). Microbiological field sampling was conducted in dairy farms and soil after spraying manure. Inoculation experiments in vegetables were conducted.

Results
The proportion of dairy farms with cattle with bla-harboring E.coli was estimated to be 7.1% (95%CI: 5.5-8.8%). In the farms with bla-harboring E.coli, the concentration of bla-harboring E.coli in mixed fresh manure was estimated to be 3.32 log10 CFU/g (95%CI: 3.31-3.32). The concentrations were reduced to 1.51 (95%CI: 1.03-1.96), 1.18 (95%CI: 0.87-1.51), 0.84 (95%CI: 0.34-1.29), and -0.57 log10 CFU/g (95%CI: -1.04- -0.12) in immature manure, slurry, soil after immature manure sprayed, and soil after slurry sprayed, respectively. The concentrations on surfaces of leafy green and tomatoes were estimated to be -2.87 (95%CI: -3.36- -2.42) and -3.81 log10 CFU/g (95%CI: -4.31- -3.36). The concentrations in leafy green was -9.88 (95%CI: -11.52- -8.72). E. coli was not recovered from tomatoes in the experiments.

Conclusion
The risk of ingesting bla-harboring E.coli of dairy origin with raw vegetables in Japan was assessed to be very low.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Title":"Prof.","FirstName":"Kohei","LastName":"Makita","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Makita K"},{"PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Title":"Ms","FirstName":"Ayaka","LastName":"Okamura","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Okamura A"},{"PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Title":"Dr","FirstName":"Akira","LastName":"Fukuda","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Fukuda A"},{"PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Title":"Prof","FirstName":"Tetsuo","LastName":"Asai","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Asai T"},{"PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Title":"Dr","FirstName":"Yoko","LastName":"Shimazaki","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Shimazaki Y"},{"PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Title":"Dr","FirstName":"Masaru","LastName":"Usui","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Usui M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Number":1,"Affiliation":"Veterinary Epidemiology Unit, Rakuno Gakuen University","City":"Ebetsu","State":"Hokkaido","Country":"Japan","AffiliationDisplay":"Veterinary Epidemiology Unit, Rakuno Gakuen University, Ebetsu Hokkaido, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Number":2,"Affiliation":"Food Hygiene Unit, Rakuno Gakuen University","City":"Ebetsu","State":"Hokkaido","Country":"Japan","AffiliationDisplay":"Food Hygiene Unit, Rakuno Gakuen University, Ebetsu Hokkaido, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Number":3,"Affiliation":"Department of Applied Veterinary Sciences, Gifu University","City":"Gifu","State":"Gifu","Country":"Japan","AffiliationDisplay":"Department of Applied Veterinary Sciences, Gifu University, Gifu Gifu, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bb9bbac1-116a-41a5-9289-756077dc8061","Number":4,"Affiliation":"National Veterinary Assay Laboratory","City":"Kukubunji","State":"Tokyo","Country":"Japan","AffiliationDisplay":"National Veterinary Assay Laboratory, Kukubunji Tokyo, Japan"}],"AuthorsHtml":"Makita K1, Okamura A1, Fukuda A2, Asai T3, Shimazaki Y4, Usui M2","AffiliationsHtml":"
1Veterinary Epidemiology Unit, Rakuno Gakuen University, Ebetsu Hokkaido, Japan
2Food Hygiene Unit, Rakuno Gakuen University, Ebetsu Hokkaido, Japan
3Department of Applied Veterinary Sciences, Gifu University, Gifu Gifu, Japan
4National Veterinary Assay Laboratory, Kukubunji Tokyo, Japan
"}],"DisplayName":"Kohei Makita","TimeDisplay":null},{"ContactId":"0b9788a8-61a2-4a2e-b9f0-f300b451c132","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Keleabetswe","LastName":"Malepe","Position":"Veterinarian and Lecturer","Organization":"UNISA","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Factors that are correlated with knowledge of African Swine Fever among emerging pig farmers in uThukela District, KwaZulu Natal Province, South Africa","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"db7391fd-9040-40d7-ad6b-90408a8533b7","Html":null,"PlainText":"Objective(s): We identified factors that are correlated with a high knowledge score for ASF among emerging pig farmers in uThukela District, KwaZulu Natal Province, South Africa.
Method and Materials: A prospective Cross-sectional study design was adopted for this study. All emerging pig farmers in the study area were invited to participate in the study. However, only 426 farmers consented to participate. A structured questionnaire was used to collect data on the socio-demographic characteristics and knowledge about ASF (cause of ASF, means of transmission, sign of disease, species affected by ASF). The knowledge score was thereafter converted into a binary variable (<60%=0 & ≥60%=1). A binary logistic regression model was fit to the data to assess factors significantly correlated with a high knowledge score (≥60%) for ASF. Statistical significance was assessed at P<5%.
Results:
The odds of obtaining a high knowledgeable score was lower among residents of Alfred Duma (Adjusted Odds Ratio (AOR) = 0.524) and Okhahlamba (AOR = 0.383) as compared to farmers from Inkosi Langalibalele. Male respondents had higher odds (AOR= 1.747) of being knowledgeable compared to their female counterparts. The odds of getting a higher knowledge score was higher among respondents aged 18-25 (AOR 1.434), 36-53 (AOR=1.386) and 54-71 (AOR= 1.797) years, as compared to older respondents (˃ 71 years). Farmers who reared pigs as a source of income and meat, had higher odds (AOR=4.061) of being more knowledgeable compared to those who reared pigs only as a source of meat for the family.
Conclusion: The present study highlights the important socioeconomic and demographic variables that are significantly associated with being knowledgeable about ASF. This information could be used to design farmers’ educational programmes. Given the limited nature of this study, larger studies are needed to further investigate the knowledge of the risk factors for ASF among farmers.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"db7391fd-9040-40d7-ad6b-90408a8533b7","Title":"Ms","FirstName":"Nicol Mbali ","LastName":"Thusi","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Thusi N"},{"PresentationId":"db7391fd-9040-40d7-ad6b-90408a8533b7","Title":"Dr","FirstName":"Keleabetswe ","LastName":"Malepe","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Malepe K"},{"PresentationId":"db7391fd-9040-40d7-ad6b-90408a8533b7","Title":"Prof","FirstName":"Christian. A. ","LastName":"Mbajiorgu","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Mbajiorgu C"},{"PresentationId":"db7391fd-9040-40d7-ad6b-90408a8533b7","Title":"Prof.","FirstName":"James","LastName":"Oguttu","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Oguttu J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db7391fd-9040-40d7-ad6b-90408a8533b7","Number":1,"Affiliation":"Department of Agriculture and Animal Health, University of South Africa","City":"Johannesurg ","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Agriculture and Animal Health, University of South Africa, Johannesurg Gauteng, South Africa"}],"AuthorsHtml":"Thusi N1, Malepe K1, Mbajiorgu C1, Oguttu J1","AffiliationsHtml":"
1Department of Agriculture and Animal Health, University of South Africa, Johannesurg Gauteng, South Africa
"}],"DisplayName":"Keleabetswe Malepe","TimeDisplay":null},{"ContactId":"377fd83b-60df-4466-a558-5a0ed3179480","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sasidhar","LastName":"Malladi","Position":null,"Organization":null,"PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A simulation-based evaluation of the time to detect moderately virulent African Swine Fever virus in finisher swine herds via increased morbidity ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fb4e9c00-839f-4ce3-a0c7-98491f948e9f","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.D - Epidemiology of African Swine Fever","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Html":null,"PlainText":"Objective
African Swine Fever (ASF) is a devastating disease that causes an important socio-economic impact in ongoing outbreaks across the globe. We estimated transmission model parameters for moderately virulent ASF virus strains and predicted the time to disease detection via increased morbidity under homogenous and heterogeneous transmission model assumptions.
Materials and Methods
We estimated the transmission model parameters using individual pig level experimental data for moderately virulent strains in de Carvalho Ferreira et al. (2013). The adequate contact rate was estimated using an Approximate Bayesian Computation algorithm and we accepted those parameter values from iterations where the model output was consistent with experimental data. We then simulated ASF spread within a 2400 finisher pig barn under homogeneous and heterogeneous mixing assumptions. The homogeneous formulation assumes that all pigs in the barn have an identical chance of contact with each other. In contrast, the heterogeneous model formulation incorporates the barn and pen layout and assumes different transmission rates within and between pens. Thresholds for the fraction of pigs with clinical signs to help identify increased morbidity (i.e. trigger thresholds) were based on expert opinion. The time to detection was then calculated as the earliest day when morbidity exceeded the trigger threshold in simulation output.
Results
Based on the homogeneous model, the predicted time to detection in finisher pig barns via mild clinical signs was 20 (95% P.I., 16 - 25) days using a daily trigger threshold of nine percent of the herd. The time to detection was significantly longer in heterogeneous model scenarios where the between pen transmission mainly occurred via direct contact with pigs in adjacent pens.
Conclusion
The transmission model parameter estimates and predicted time to ASF detection provide valuable information that can inform emergency preparedness and design surveillance sampling protocols.
Keywords
African Swine Fever; mathematical modeling; morbidity triggers

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Dr","FirstName":"Sasidhar","LastName":"Malladi","Position":"Research project specialist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Malladi S"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Dr","FirstName":"Amos ","LastName":"Ssematimba","Position":"Researcher","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ssematimba A"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Mr","FirstName":"Peter ","LastName":"Bonney","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Bonney P"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Dr","FirstName":"Timothy","LastName":"Boyer","Position":"Biological Scientist, Transboundary Disease Analytics","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Boyer T"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Dr","FirstName":"Benjamin","LastName":"Blair","Position":"Modeler","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Blair B"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Dr","FirstName":"Miranda ","LastName":"Medrano","Position":"PhD Student,","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Medrano M"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Dr","FirstName":"Carol","LastName":"Cardona","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Cardona C"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Ms","FirstName":"Kaitlyn ","LastName":" Charles","Position":"Risk Analyst","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":" Charles K"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Dr","FirstName":"Timothy","LastName":"Goldsmith","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Goldsmith T"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Dr","FirstName":"Marie ","LastName":"Culhane","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":10,"DisplayName":"Culhane M"},{"PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Title":"Dr","FirstName":"Cesar ","LastName":"Corzo","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":11,"DisplayName":"Corzo C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Number":1,"Affiliation":"Secure Food Systems Team, University of Minnesota","City":"Saint Paul","State":"MN","Country":"United States","AffiliationDisplay":"Secure Food Systems Team, University of Minnesota, Saint Paul MN, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Number":2,"Affiliation":"Department of mathematics, Gulu University","City":"Gulu","State":"Gulu","Country":"Uganda","AffiliationDisplay":"Department of mathematics, Gulu University, Gulu Gulu, Uganda"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9c59aa07-9181-4ae6-b573-61b26c728e18","Number":3,"Affiliation":"Center for Epidemiology and Animal Health, United States Department of Agriculture","City":"Fort collins","State":"CO","Country":"United States","AffiliationDisplay":"Center for Epidemiology and Animal Health, United States Department of Agriculture, Fort collins CO, United States"}],"AuthorsHtml":"Malladi S1, Ssematimba A1,2, Bonney P1, Boyer T3, Blair B1, Medrano M1, Cardona C1, Charles K1, Goldsmith T1, Culhane M1, Corzo C1","AffiliationsHtml":"
1Secure Food Systems Team, University of Minnesota, Saint Paul MN, United States
2Department of mathematics, Gulu University, Gulu Gulu, Uganda
3Center for Epidemiology and Animal Health, United States Department of Agriculture, Fort collins CO, United States
"},{"Title":"Simulated Transmission of African Swine Fever virus between Premises of a US Swine Production Company","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fb4e9c00-839f-4ce3-a0c7-98491f948e9f","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.D - Epidemiology of African Swine Fever","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"940a1c23-7a46-4e47-aa08-e8d789224886","Html":null,"PlainText":"1.Objective
This study's objective was to produce a between premises, African Swine Fever virus (ASFV) transmission model, allowing for a better understanding of likely routes of transmission of ASFV between farms and explore potential surveillance options to limit said transmission.

2.Materials and Methods
Data regarding movement of animals and fomites between premises was collected from one US swine production company. The collected data was used to inform an InterSpread Plus (ISP) model scenario for ASFV transmission between farms. ISP uses a state transmission model to simulate disease transmission between premises. Premises level disease state durations and the probabilities of transmission via movements were estimated using a stochastic heterogeneous within-farm ASFV transmission model. Using a randomly selected single premises for introduction, our model simulated transmission over 150days. One-thousand model iterations were performed identifying the proportion of farms infected and the common routes of infection.

3.Results
In the current model baseline scenario, 26.9% (95% P.I., 6.9-51.7%) of all sow farms became infected. The main transmission mechanisms or movements resulting in sow farm infection in the current model were cull sow pick up, and people or fomite contact with other farms. Further analysis of network derived surveillance techniques is underway, such as routine surveillance in high network centrality premises to reduce the transmission of ASFV within the system.

4.Conclusion
This simulation of between herd transmission of ASFV within a swine production company holds great potential when further developing mitigation practices to reduce the risk of ASFV introduction and dissemination between swine farms. Due to the granularity of industry data used, we believe the model can encompass the complexities of the current swine production systems and inform ASF outbreak response planning by aiding in the evaluation of enhanced biosecurity measures and surveillance protocols.

Keywords
African Swine Fever; network; mathematical modelling; disease transmission
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"940a1c23-7a46-4e47-aa08-e8d789224886","Title":"Dr.","FirstName":"Benjamin","LastName":"Blair","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Blair B"},{"PresentationId":"940a1c23-7a46-4e47-aa08-e8d789224886","Title":"Mr.","FirstName":"Sasidhar","LastName":"Malladi","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Malladi S"},{"PresentationId":"940a1c23-7a46-4e47-aa08-e8d789224886","Title":"Mr.","FirstName":"Peter","LastName":"Bonney","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Bonney P"},{"PresentationId":"940a1c23-7a46-4e47-aa08-e8d789224886","Title":"Dr.","FirstName":"Amos","LastName":"Ssematimba","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Ssematimba A"},{"PresentationId":"940a1c23-7a46-4e47-aa08-e8d789224886","Title":"Dr.","FirstName":"Marie","LastName":"Culhane","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Culhane M"},{"PresentationId":"940a1c23-7a46-4e47-aa08-e8d789224886","Title":"Dr.","FirstName":"Cesar","LastName":"Corzo","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Corzo C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"940a1c23-7a46-4e47-aa08-e8d789224886","Number":1,"Affiliation":"College of Veterinary Medicine,University Of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine,University Of Minnesota, St. Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"940a1c23-7a46-4e47-aa08-e8d789224886","Number":2,"Affiliation":"Gulu University","City":"Gulu","State":null,"Country":"Uganda","AffiliationDisplay":"Gulu University, Gulu, Uganda"}],"AuthorsHtml":"Blair B1, Malladi S1, Bonney P1, Ssematimba A1,2, Culhane M1, Corzo C1","AffiliationsHtml":"
1College of Veterinary Medicine,University Of Minnesota, St. Paul MN, USA
2Gulu University, Gulu, Uganda
"}],"DisplayName":"Sasidhar Malladi","TimeDisplay":null},{"ContactId":"ce320ef9-893c-4abd-864a-0791646c0560","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jennifer","LastName":"Manyweathers","Position":"Senior Lecturer In Epidemiology And Ruminant Health","Organization":"Charles Sturt University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6b69e1117b3d44e588437d71e2b5d9ff","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The power of the word: Introducing Thematic Analysis as a biosecurity research tool using a case study of Australian feral pig management ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c3ee6438-9c01-4e8a-8244-b843e0d5a7b8","Html":null,"PlainText":"Keywords (5): invasive species management, feral pigs, Thematic Analysis, stakeholder engagement, landscape genetics

Objectives
Exotic invasive animal species (IAS) are one of the drivers precipitating the extinction crises of vertebrate species in the 21st century. However, managing IAS is also a “wicked problem”, with competing and conflicting stakeholder priorities, wherein management and mitigation projects have a high failure rate. To improve the success of such projects, qualitative data collected from discussions with relevant stakeholders can be useful for identifying important drivers for the success or otherwise of IAS management programs.

Materials and Methods
Qualitative approach generally and thematic analysis specifically are under-utilised but beneficial techniques in IAS research. A case study, based on landscape genetics to delineate the sub-populations of invasive feral pigs throughout mainland Australia, was used to demonstrate how thematic analysis of stakeholder semi-structured interviews can be used to develop recommendations to inform successful project implementation.
Results
The feral pig feasibility study highlighted the need to engage with existing networks and relationships, rather than undertake a new approach with landholders and hunters. The study also illustrated the need for flexibility in data collection approaches to meet the needs of participants with variable connectivity, literacy and data recording capacity, and the expectations around location privacy. Thematic analysis also allowed for the identification of relationship risk that exists amongst the stakeholders, requiring careful management to strengthen the opportunities for project success.
Conclusion
Thematic analysis is shown to be an efficient and cost-effective method which allows for in-depth reflection on stakeholder attitudes and engagement to inform development of IAS management programs and uncover potential barriers to stakeholder adoption.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c3ee6438-9c01-4e8a-8244-b843e0d5a7b8","Title":"Dr.","FirstName":"Jennifer","LastName":"Manyweathers","Position":"Senior Lecturer In Epidemiology And Ruminant Health","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Manyweathers J"},{"PresentationId":"c3ee6438-9c01-4e8a-8244-b843e0d5a7b8","Title":"Ms","FirstName":"Lynne","LastName":"Hayes","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Hayes L"},{"PresentationId":"c3ee6438-9c01-4e8a-8244-b843e0d5a7b8","Title":"Dr","FirstName":"Peter","LastName":"Durr","Position":"Senior Veterinary Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Durr P"},{"PresentationId":"c3ee6438-9c01-4e8a-8244-b843e0d5a7b8","Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Hernandez-Jover M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c3ee6438-9c01-4e8a-8244-b843e0d5a7b8","Number":1,"Affiliation":"School of Animal and Veterinary Science, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Animal and Veterinary Science, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c3ee6438-9c01-4e8a-8244-b843e0d5a7b8","Number":2,"Affiliation":"Gulbali Institute, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c3ee6438-9c01-4e8a-8244-b843e0d5a7b8","Number":3,"Affiliation":"Commonwealth Scientific and Industrial Research Organisation","City":"Geelong","State":"Victoria","Country":"Australia","AffiliationDisplay":"Commonwealth Scientific and Industrial Research Organisation, Geelong Victoria, Australia"}],"AuthorsHtml":"Manyweathers J1,2, Hayes L1, Durr P3, Hernandez-Jover M1,2","AffiliationsHtml":"
1School of Animal and Veterinary Science, Charles Sturt University, Wagga Wagga NSW, Australia
2Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia
3Commonwealth Scientific and Industrial Research Organisation, Geelong Victoria, Australia
"},{"Title":"Using Bayesian Network models to understand Australian livestock producers’ vulnerability to foot and mouth disease\r\n","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Html":null,"PlainText":"Keywords (5): Bayesian Networks, FMD, Australian livestock producers, risk-based surveillance, vulnerability

Objectives
An increasing risk of emergency animal disease (EAD) incursions in Australia, within the context of stretched jurisdictional resources, highlights the need for improved understanding of stakeholders’ animal health and disease management decisions and practices. The aim of this study was to develop a Bayesian Network (BN) predictive model to understand industry, jurisdictional and individual EAD vulnerability, and to identify vulnerability-based typologies to complement existing risk-based approaches to resource allocation in the current EAD surveillance system.
Materials and methods
A vulnerability framework, which considered producers’ risk of exposure plus response capacity (their willingness and ability to observe, detect and report unusual signs of disease), was used to design a cross-sectional questionnaire, using foot and mouth disease (FMD) as a model. Data from across Australian FMD-susceptible industries were collected from livestock producers, describing key demographic descriptors and current beliefs and practices around animal disease surveillance. Using questionnaire data, BN models were developed to assess and predict EAD vulnerability of the Australian sheep, beef and goat industries.
Results
The BN models were used to create typologies of producers based on the level of their vulnerability to EAD. Three groups of producers were identified involving a mixture of high, moderate and low producer exposure and response capacity. The typologies identified producer demographics and biosecurity practices that contributed significantly to their vulnerability.

Conclusion
The BN models were used to consider how stakeholder demographics, practices and beliefs may interact and impact FMD vulnerability. The typology findings illustrate that a one-size-fits-all approach to EAD preparedness will not be effective, with more context driven approaches needed. This study identifies the potential of BN models to develop more nuanced information for producers, industry and policy development to support risk-based surveillance approaches for EAD preparedness in Australia.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Title":"Dr.","FirstName":"Jennifer","LastName":"Manyweathers","Position":"Senior Lecturer In Epidemiology And Ruminant Health","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Manyweathers J"},{"PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Title":"Dr.","FirstName":"Yiheyis","LastName":"Maru","Position":"Principal Systems Research Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Maru Y"},{"PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Title":"Ms","FirstName":"Lynne","LastName":"Hayes","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Hayes L"},{"PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Title":"Dr","FirstName":"Gang","LastName":"Xie","Position":"Statistician","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Xie G"},{"PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Title":"Dr","FirstName":"Heleen","LastName":"Kruger","Position":"Reseacher","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Kruger H"},{"PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Title":"Prof.","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Hernandez-Jover M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Number":1,"Affiliation":"Gulbali Institute, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Number":2,"Affiliation":"School of Environmental, Agricultural and Veterinary Sciences, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Environmental, Agricultural and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Number":3,"Affiliation":"Commonwealth Scientific and Industrial Research Organisation ","City":"Canberra ","State":"ACT","Country":"Australia","AffiliationDisplay":"Commonwealth Scientific and Industrial Research Organisation , Canberra ACT, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5188a365-01d3-4839-ac47-afd849556a62","Number":4,"Affiliation":"Australian Bureau of Agricultural and Resource Economics and Sciences","City":"Canberra","State":"ACT","Country":"Australia","AffiliationDisplay":"Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra ACT, Australia"}],"AuthorsHtml":"Manyweathers J1,2, Maru Y3, Hayes L2, Xie G2, Kruger H4, Hernandez-Jover M1,2","AffiliationsHtml":"
1Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia
2School of Environmental, Agricultural and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia
3Commonwealth Scientific and Industrial Research Organisation , Canberra ACT, Australia
4Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra ACT, Australia
"},{"Title":"FMD Ready: Using Agricultural Innovations Systems to improve Australia’s preparedness for emergency animal disease incursions","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7082b1df-8fb3-4669-8939-cc0d9df1a51e","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.B - Complex Systems Approach","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Html":null,"PlainText":"Agricultural Innovations Systems, FMD, Australian livestock, disease surveillance

Objectives
Traditional approaches to animal disease surveillance typically follow linear research-extension-adoption models and have limited success in addressing complex issues involving multiple stakeholders with conflicting priorities. By promoting mutual trust and including multiple sources of knowledge and experience, the Agricultural Innovation Systems (AIS) framework has potential to transform animal disease surveillance systems and interactions with livestock industry stakeholders. A four-year AIS pilot in Australia aimed at enhancing preparedness for a foot and mouth disease (FMD) outbreak, with innovation arising from research, on-farm expertise and knowledge, and stakeholder relationship building.

Materials and Methods
The project used an AIS framework to reverse the traditional top-down, information deficit model approach and improve disease surveillance and create a model for transforming how knowledge is co-created, valued and shared. Nationwide, five pilot groups, working with FMD susceptible livestock industries (beef cattle, dairy cattle, sheep, pigs and goats) were established. The groups developed and tested solutions to locally identified surveillance system problems.

Results
The five pilot groups met a combined total of 37 times over four years and included 65 stakeholders. Changes in biosecurity practice, attitudes and the strengthening of networks and relationships were captured in base/end line surveys and interviews. The importance of investing in relationships and networks, the benefits that come from integrating multi-stakeholder perspectives, and using a partnership approach to biosecurity and surveillance were highlighted as significant achievements.

Conclusion
This project has illustrated that strong, trusting relationships and shared knowledge and solution creation will contribute to strengthening surveillance systems and an enhanced response to animal disease outbreaks. By bringing together locally relevant expertise and knowledge, the project made considerable contribution towards tackling complex issues around animal disease monitoring and reporting and highlighted the significant role of building relationships in effective animal disease surveillance systems.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Title":"Dr.","FirstName":"Jennifer","LastName":"Manyweathers","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Manyweathers J"},{"PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Title":"Dr","FirstName":"Yiheyis","LastName":"Maru","Position":"Senior Researcher","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Maru Y"},{"PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Title":"Ms","FirstName":"Lynne","LastName":"Hayes","Position":"Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Hayes L"},{"PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Title":"Dr","FirstName":"Barton","LastName":"Loechel","Position":"Reseacher","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Loechel B"},{"PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Title":"Dr","FirstName":"Heleen","LastName":"Kruger","Position":"Researcher","Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Kruger H"},{"PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Title":"Professor","FirstName":"Marta","LastName":"Hernandez-Jover","Position":"Professor Epidemiology and Public Health","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Hernandez-Jover M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Number":1,"Affiliation":"Gulbali Institute, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Number":2,"Affiliation":"Commonwealth Scientific and Industrial Research Organisation","City":"Canberra","State":"ACT","Country":"Australia","AffiliationDisplay":"Commonwealth Scientific and Industrial Research Organisation, Canberra ACT, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Number":3,"Affiliation":"School of Environmental Agricultural and Veterinary Sciences, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Environmental Agricultural and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Number":4,"Affiliation":"Commonwealth Scientific and Industrial Research Organisation","City":"Brisbane","State":"Queensland","Country":"Australia","AffiliationDisplay":"Commonwealth Scientific and Industrial Research Organisation, Brisbane Queensland, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3610d916-ae8e-4767-9264-26d51ca1a9d7","Number":5,"Affiliation":"Australian Bureau of Agricultural and Resource Economics and Sciences","City":"Canberra","State":"ACT","Country":"Australia","AffiliationDisplay":"Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra ACT, Australia"}],"AuthorsHtml":"Manyweathers J1, Maru Y2, Hayes L3, Loechel B4, Kruger H5, Hernandez-Jover M1","AffiliationsHtml":"
1Gulbali Institute, Charles Sturt University, Wagga Wagga NSW, Australia
2Commonwealth Scientific and Industrial Research Organisation, Canberra ACT, Australia
3School of Environmental Agricultural and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia
4Commonwealth Scientific and Industrial Research Organisation, Brisbane Queensland, Australia
5Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra ACT, Australia
"}],"DisplayName":"Jennifer Manyweathers","TimeDisplay":null},{"ContactId":"56d37388-c068-4057-88d5-1c82bd295955","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mariana","LastName":"Marrana","Position":"Programme Manager","Organization":"World Organisation for Animal Health","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/58e1271fcf4d49858b09a3eca8f33a68","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Monitoring and evaluation of twinning as a capacity building intervention in animal health laboratories","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c3da4b58-e0d3-444a-9da4-234629371ecf","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.A - Capacity building in national veterinary service","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Html":null,"PlainText":"Objectives
Animal health is interconnected to the health of humans and ecosystems in countless ways. Historically, disease emergence at the interface between animals and humans has always been important. Yet, recent increases in the frequency of spill-over events combined with the impact of zoonotic diseases have increased the importance of this interface and the need to monitor diseases across species. Disease detection, surveillance, prevention and treatment must be supported by well-functioning laboratory networks which are a fundamental part of public and animal health systems. However, access to veterinary laboratory expertise has an uneven global distribution. To address this problem, the World Organisation for Animal Health (OIE) launched a Laboratory Twinning Programme in 2006. In this paper, we discuss the design of a monitoring and evaluation (M&E) framework for capacity building in laboratories which will be applied to the OIE Laboratory Twinning Programme.

Materials and methods
A literature review surveying policy responses at the intersection between public and animal health was conducted. While its broad scope covered national, regional, and global strategies to support and safeguard global health, the review’s focus was ultimately narrowed down into the analysis of M&E frameworks for laboratory capacity building interventions. Existing M&E mechanisms and their metrics were examined, and the aspects relevant for the creation of an M&E framework for the OIE Laboratory Twinning Programme were retained.

Results
A preliminary M&E framework for the OIE Laboratory Twinning Programme has emerged from this work. It will be tested in selected case studies and adapted as needed to allow for implementation in other capacity building initiatives.

Conclusion
Additional time and work are needed to implement the preliminary M&E in selected case studies and thereby observe and characterise the long-term impact of projects for beneficiary countries and the sustainability of the capacities acquired by twinning candidates.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Title":"Dr.","FirstName":"Mariana","LastName":"Marrana","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Marrana M"},{"PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Title":"Mr","FirstName":"Emmanuel","LastName":"Appiah","Position":"Data Analyst","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Appiah E"},{"PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Title":"Dr","FirstName":"William","LastName":"Gilbert","Position":"Postdoctoral Research Associate","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Gilbert W"},{"PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Title":"Dr","FirstName":"Adriana","LastName":"Nilsson","Position":"Lecturer in Organisational Behaviour","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Nilsson A"},{"PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Title":"Dr","FirstName":"Keith","LastName":"Hamilton","Position":"Head, Preparedness and Resilience Department","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Hamilton K"},{"PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Title":"Professor","FirstName":"Jonathan","LastName":"Rushton","Position":"Professor of Animal Health and Food Systems Economics","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Rushton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Number":1,"Affiliation":"Preparedness and Resilience Department, World Organisation for Animal Health","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"Preparedness and Resilience Department, World Organisation for Animal Health, Paris, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Number":2,"Affiliation":"Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9dc9b6d3-c434-4a62-91a2-778c19c61dc6","Number":3,"Affiliation":"Management School, University of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"Management School, University of Liverpool, Liverpool, United Kingdom"}],"AuthorsHtml":"Marrana M1,2, Appiah E1, Gilbert W2, Nilsson A3, Hamilton K1, Rushton J2","AffiliationsHtml":"
1Preparedness and Resilience Department, World Organisation for Animal Health, Paris, France
2Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
3Management School, University of Liverpool, Liverpool, United Kingdom
"}],"DisplayName":"Mariana Marrana","TimeDisplay":null},{"ContactId":"2111444b-2ed2-4fbc-b0df-860c0cc63a03","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Thomas","LastName":"Marsh","Position":"Professor","Organization":"Washington State University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cf2870c2f5d545bf84e34d47b82c57cd","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Thomas Marsh, PhD, is a distinguished professor of agricultural and resource economics in the Paul G. Allen School for Global Animal Health and the School of Economic Sciences at Washington State University. Dr. Marsh evaluates how policies and disease interventions interrelate with household decisions, markets and trade. Recent examples include quantifying the economic consequences of specific diseases (such as E. coli, highly pathogenic avian influenza, and mad cow disease), assessing the impact of diagnostic testing and vaccination (such as foot and mouth, east coast fever, and Newcastle disease) of livestock on households in Africa, and measuring the global burden of animal diseases.","Presentations":[{"Title":"Economics and Implications of Animal Disease","Bio":"Dr. Thomas Marsh, PhD, is a distinguished professor of agricultural and resource economics in the Paul G. Allen School for Global Animal Health and the School of Economic Sciences at Washington State University. Dr. Marsh evaluates how policies and disease interventions interrelate with household decisions, markets and trade. Recent examples include quantifying the economic consequences of specific diseases (such as E. coli, highly pathogenic avian influenza, and mad cow disease), assessing the impact of diagnostic testing and vaccination (such as foot and mouth, east coast fever, and Newcastle disease) of livestock on households in Africa, and measuring the global burden of animal diseases.","PresentationTypeName":"Plenary Lecture","Session":{"Id":"06d05fd7-5d0a-41f1-ba70-0a5848e3652d","Date":"2022-08-11T00:00:00+00:00","StartTime":"08:30:00","EndTime":"09:30:00","Name":"KEYNOTE Economics and Implications of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"8:30 AM - 9:30 AM"},"Documents":[{"PresentationId":"deb35317-f221-49cf-82fa-529acf1af263","Html":null,"PlainText":"Animals are an important and necessary part of our planet and global economy. In particular, they are a critical component of the global production and trade of food. Five livestock and livestock products are ranked by value among the top 10 commodities produced and traded in the world (FAOSTAT 2020). Rice is the #1 commodity in value of production followed by pig meat, fresh milk, maize, and poultry meat respectively in the top 5 with cattle meat also in the top 10. In some places and at sometimes across the world, livestock and livestock products are the only source of food and nutrition. Moreover, animals are embedded and valued in many cultures across the world, the livestock industry accounts for a large fraction of global land and crop use, and wildlife tourism is an important economic activity worldwide.
Animal diseases have significant economic consequences across the globe, reducing economic efficiency in smallholder and commercial production, distorting trade, and in some cases harming entire economies. To measure these impacts economists monetize disease outcomes for both animals and humans. Animal health economists tend to employ profit or capital valuation metrics in measuring market assessments, while human health economists often employ the value of a statistical life and disability adjusted life years metrics to measure costs and benefits. These metrics inform and evaluate core choices on actions to prevent and treat diseases, as well as to guide private and public investment decisions in animal health.
There is good justification for emphasizing policy on animal health issues, including food security, animal welfare, zoonoses, trade, etc. To manage health and disease in animals for both the private and social good, policy makers and industry leaders strive to formulate efficient decisions and to execute effective actions. Understanding how policies, as well as economic and external forces, affect these decisions is essential to improving and positioning disease management efforts in the future. From a broader perspective how these policies and decisions jointly affect the efficiency of an economy, the equity and well-being of its people, and the sustainability of the country itself are challenging and significant topics.

Key Words: Economics, Policy, Animal Health, Diseases


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"deb35317-f221-49cf-82fa-529acf1af263","Title":"Prof.","FirstName":"Thomas","LastName":"Marsh","Position":"Professor","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Marsh T"}],"Affiliations":[],"AuthorsHtml":"Marsh T","AffiliationsHtml":""}],"DisplayName":"Thomas Marsh","TimeDisplay":null},{"ContactId":"455be828-197e-4ea3-92d6-8cc3632414f3","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Edie","LastName":"Marshall","Position":"Branch Chief","Organization":"California Dept of Food & Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/23365d55dd0b4590a3166961e66cd8aa","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"California's Livestock Antibiograms","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"97c96c1f-0955-4bc8-9a07-31dcd437828d","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"d8742b22-2387-4704-b1fe-9c2594bde5e3","Html":null,"PlainText":"Objective:
To develop and promote the use of antibiograms in livestock medicine to aid judicious antimicrobial use.

Materials and Methods:
The California Department of Food & Agriculture’s Antimicrobial Use and Stewardship program partnered with the California Animal Health & Food Safety Laboratory (CAHFS) to create California-specific livestock antibiograms. A multidisciplinary focus group of clinical veterinarians, academics, and public health professionals guided antibiogram design and content. Antibiograms were created using clinical samples submitted to CAHFS with plans to update the antibiograms annually. California law requires veterinary oversight for the use of medically important antimicrobial drugs (Food and Agriculture Code 14400-14408); therefore, access to antibiograms was limited to veterinarians. California veterinarians registered through an online survey that required their license number for verification. The survey, along with a user guide for antibiogram application in clinical veterinary practice, was promoted through social media, newsletters, and veterinary medical associations.

Results:
Antibiograms focusing on bovine respiratory pathogens (Mannheimia haemolytica, Pasteurella multocida, Histophilus somni), sheep and goat respiratory pathogens (Mannheimia haemolytica, Pasteurella multocida), and equine Streptococcus equi ssp. zooepidemicus were created and distributed to over 30 veterinarians. Additional antibiograms are under development.

Conclusion:
This project provided antibiogram access and education to veterinarians to support a One Health approach for antimicrobial stewardship. Antibiograms may be used to guide initial antibiotic therapy and to assess trends in antibiotic resistance, therefore maximizing treatment success and preserving the efficacy of currently available drugs by reducing unnecessary exposure of bacteria.

Keywords:
Antibiogram, antimicrobial resistance, antimicrobial stewardship, judicious use, livestock
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1California Dept Of Food & Agriculture - Antimicrobial Use & Stewardship, Sacramento California, USA
2California Animal Health & Food Safety Laboratory System, Davis California, USA
"}],"DisplayName":"Edie Marshall","TimeDisplay":null},{"ContactId":"4563f7f8-6256-4cca-94d5-c763fbcb6e82","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Joanne","LastName":"Marshall","Position":"Msc Student","Organization":"Ontario Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9cf42e359ce34573b8f6b4c3db38e87f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/comm/in/joanne-marshall-bb14851a9?midToken=AQHpnRYVRg01UQ&midSig=2Pdm3fivxw4qo1&trk=eml-email_jobs_saved_job_reminder_01-header-39-profile&trkEmail=eml-email_jobs_saved_job_reminder_01-header-39-profile-null-di13zp%7El6fdvjay%7Efk-null-neptune%2Fprofile%7Evanity%2Eview&lipi=urn%3Ali%3Apage%3Aemail_email_jobs_saved_job_reminder_01%3Bua6oIgm9QG6zylaLkL10QQ%3D%3D","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/comm/in/joanne-marshall-bb14851a9?midToken=AQHpnRYVRg01UQ&midSig=2Pdm3fivxw4qo1&trk=eml-email_jobs_saved_job_reminder_01-header-39-profile&trkEmail=eml-email_jobs_saved_job_reminder_01-header-39-profile-null-di13zp%7El6fdvjay%7Efk-null-neptune%2Fprofile%7Evanity%2Eview&lipi=urn%3Ali%3Apage%3Aemail_email_jobs_saved_job_reminder_01%3Bua6oIgm9QG6zylaLkL10QQ%3D%3D","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/comm/in/joanne-marshall-bb14851a9?midToken=AQHpnRYVRg01UQ&midSig=2Pdm3fivxw4qo1&trk=eml-email_jobs_saved_job_reminder_01-header-39-profile&trkEmail=eml-email_jobs_saved_job_reminder_01-header-39-profile-null-di13zp%7El6fdvjay%7Efk-null-neptune%2Fprofile%7Evanity%2Eview&lipi=urn%3Ali%3Apage%3Aemail_email_jobs_saved_job_reminder_01%3Bua6oIgm9QG6zylaLkL10QQ%3D%3D","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/comm/in/joanne-marshall-bb14851a9?midToken=AQHpnRYVRg01UQ&midSig=2Pdm3fivxw4qo1&trk=eml-email_jobs_saved_job_reminder_01-header-39-profile&trkEmail=eml-email_jobs_saved_job_reminder_01-header-39-profile-null-di13zp%7El6fdvjay%7Efk-null-neptune%2Fprofile%7Evanity%2Eview&lipi=urn%3Ali%3Apage%3Aemail_email_jobs_saved_job_reminder_01%3Bua6oIgm9QG6zylaLkL10QQ%3D%3D","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"A survey of practices and attitudes around cull cow management by bovine veterinarians in Ontario","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Html":null,"PlainText":"The removal of dairy cows from the farm is a regular and required management practice referred to as culling. The objectives of this study were to describe the involvement of Ontario bovine veterinarians in dairy cull cow management decisions, their expectations of current producer practices, and their perspectives on welfare issues and best management practices for cull dairy cows.
Between February and May 2021, a province-wide survey was conducted among members of the Ontario Association of Bovine Practitioners (OABP), with questions addressing veterinarians’ background and demographics, veterinary clinic characteristics, cull cow management, down cow management, and learning preferences.
The response rate for the survey was 25.1% with 45 responses meeting all eligibility criteria. Dairy veterinarians would like to have greater involvement in cull cow management; when asked about their desired involvement in culling decisions, 57.5% of veterinarians reported that they would like to be involved in culling decisions most of the time or always. Most (70.0%) veterinarians believed that cull cow welfare has improved over the last decade. However, most respondents also identified at least one area of the journey of a cull cow (I.e., farm of origin, transportation, auction, slaughter) as currently being a high risk to cull cow welfare. Given the frequency of their visits, trust by dairy producers, and knowledge, herd veterinarians are among those in the best position to improve the care of cull dairy cows.
Information generated from this survey can be used to inform the development of improved decision-making tools for culling cows, and this, along with increased veterinary involvement in cull cow management, could improve the economic and welfare outcomes of culling decisions for dairy producers.

Keywords: culling, fitness for transport, compromised cow, cull cow, animal welfare ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Title":"Ms.","FirstName":"Joanne","LastName":"Marshall","Position":"Msc Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Marshall J"},{"PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Title":"Dr.","FirstName":"Derek","LastName":"Haley","Position":"Associate Professor","Affiliations":"1,2,5","IsPresenting":false,"SortOrder":2,"DisplayName":"Haley D"},{"PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"1,3,5","IsPresenting":false,"SortOrder":3,"DisplayName":"Kelton D"},{"PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Title":"Dr.","FirstName":"Lena","LastName":"Levison","Position":"Saputo Dairy Care Manager and course instructor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Levison L"},{"PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Title":"Dr.","FirstName":"Cynthia","LastName":"Miltenburg","Position":"Lead Veterinarian","Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Miltenburg C"},{"PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Title":"Dr.","FirstName":"Steven","LastName":"Roche","Position":"Direct and Principal Consultant","Affiliations":"1,4","IsPresenting":false,"SortOrder":6,"DisplayName":"Roche S"},{"PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Title":"Dr.","FirstName":"Todd","LastName":"Duffield","Position":"Professor","Affiliations":"1,5","IsPresenting":false,"SortOrder":7,"DisplayName":"Duffield T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Number":1,"Affiliation":"Ontario Veterinary College, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Ontario Veterinary College, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Number":2,"Affiliation":"Campbell Centre for the Study of Animal Welfare, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Campbell Centre for the Study of Animal Welfare, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Number":3,"Affiliation":"Ontario Ministry of Agriculture, Food and Rural Affairs","City":"Elora","State":"ON","Country":"Canada","AffiliationDisplay":"Ontario Ministry of Agriculture, Food and Rural Affairs, Elora ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Number":4,"Affiliation":"ACER Consulting Limited","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"ACER Consulting Limited, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a1a419da-4a31-424f-9bdb-393c0de381cf","Number":5,"Affiliation":"Dairy at Guelph, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Dairy at Guelph, University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Marshall J1, Haley D1,2,5, Kelton D1,3,5, Levison L2, Miltenburg C1,3, Roche S1,4, Duffield T1,5","AffiliationsHtml":"
1Ontario Veterinary College, University of Guelph, Guelph ON, Canada
2Campbell Centre for the Study of Animal Welfare, University of Guelph, Guelph ON, Canada
3Ontario Ministry of Agriculture, Food and Rural Affairs, Elora ON, Canada
4ACER Consulting Limited, Guelph ON, Canada
5Dairy at Guelph, University of Guelph, Guelph ON, Canada
"},{"Title":"A survey of Ontario dairy cattle producers’ management practices and perspectives on cull cows","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"81b6468d-38a2-4f06-ba00-ba54f34eef5e","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Html":null,"PlainText":"Removal of cows from dairy cattle production is a routine and unavoidable practice of the dairy industry that is referred to as culling. This research objective was to describe farmers' current cull cow management, perception cows journeys to slaughter, and adoption of recommendations and regulations.
An open invitation was issued to all Ontario dairy producers to complete a survey between December 2020 and March 2021 that included 44 questions covering producer demographics, farm characteristics, and cull cow management.
The survey response rate was 7.4% (n=248); a total of 226 responses were included in this study for analysis.
The primary culling decision maker was the owner (69.2%). Most respondents indicated they have a written standard operating procedure (SOP) for cull cows (62%), and 48%, 13%, and 15% of those identified they use their cull cow SOP “always”, “sometimes”, and “never”, respectively. The most important sources of information for the management of cull cows were the herd veterinarian (64%) and members of the marketing/regulatory organization (Dairy Farmers of Ontario; 44%). Drug withdrawal time was the only factor most respondents (73%) considered “very important” for the assessment of the fitness of cull cows prior to transport. Most producers believe cull cows journey from the farm to slaughter is three or less days (55%), and most producers were confident that cull cows arrive at slaughter in the condition they left their farm. Lastly, most producers (66%) identified they were familiar with recent regulatory changes around the fitness, duration of transport, and lactation status for cull cows.
These results highlight gaps in producers’ understanding of the journey of cull cows to slaughter and should be used to inform programs and policies aimed at educating and influencing dairy farmers to improve regulatory compliance and cull cow welfare.
Keywords: culling, transportation, compromised cow, cull cow, animal welfare ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Title":"Ms.","FirstName":"Joanne","LastName":"Marshall","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Marshall J"},{"PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Title":"Dr. ","FirstName":"Derek","LastName":"Haley","Position":"Associate Professor","Affiliations":"1,2,5","IsPresenting":false,"SortOrder":2,"DisplayName":"Haley D"},{"PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Title":"Dr. ","FirstName":"Lena","LastName":"Levison","Position":"Saputo Dairy Care Manager and course instructor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Levison L"},{"PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"1,3,5","IsPresenting":false,"SortOrder":4,"DisplayName":"Kelton D"},{"PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Title":"Dr. ","FirstName":"Cynthia","LastName":"Miltenburg","Position":"Lead Veterinarian","Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Miltenburg C"},{"PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Title":"Dr. ","FirstName":"Steven","LastName":"Roche","Position":"Direct and Principal Consultant","Affiliations":"1,4","IsPresenting":false,"SortOrder":6,"DisplayName":"Roche S"},{"PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Title":"Dr. ","FirstName":"Todd","LastName":"Duffield","Position":"Professor","Affiliations":"1,5","IsPresenting":false,"SortOrder":7,"DisplayName":"Duffield T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Number":1,"Affiliation":"Ontario Veterinary College, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Ontario Veterinary College, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Number":2,"Affiliation":"Campbell Centre for the Study of Animal Welfare, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Campbell Centre for the Study of Animal Welfare, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Number":3,"Affiliation":"Ontario Ministry of Agriculture, Food and Rural Affairs","City":"Elora","State":"ON","Country":"Canada","AffiliationDisplay":"Ontario Ministry of Agriculture, Food and Rural Affairs, Elora ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Number":4,"Affiliation":"ACER Consulting Limited","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"ACER Consulting Limited, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b0a503bd-9945-4a43-baf1-d306cc5d9d0c","Number":5,"Affiliation":"Dairy at Guelph, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Dairy at Guelph, University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Marshall J1, Haley D1,2,5, Levison L2, Kelton D1,3,5, Miltenburg C1,3, Roche S1,4, Duffield T1,5","AffiliationsHtml":"
1Ontario Veterinary College, University of Guelph, Guelph ON, Canada
2Campbell Centre for the Study of Animal Welfare, University of Guelph, Guelph ON, Canada
3Ontario Ministry of Agriculture, Food and Rural Affairs, Elora ON, Canada
4ACER Consulting Limited, Guelph ON, Canada
5Dairy at Guelph, University of Guelph, Guelph ON, Canada
"}],"DisplayName":"Joanne Marshall","TimeDisplay":null},{"ContactId":"cf566004-eddb-47d2-9a69-27d2eb055a90","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Larissa","LastName":"Martins","Position":"Msc Student","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Comparison of herd-level Mycobacterium avium subsp. paratuberculosis prevalence by qPCR based on different target genes","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a1e1cd1d-6619-4ecf-9d28-05e2eb0547c3","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.E - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"0da647d3-dc10-425c-b927-f99978138079","Html":null,"PlainText":"Keywords: Johne’s disease, diagnostic comparison, environmental samples

Abstract

Objectives. Detection of Mycobacterium avium subsp. paratuberculosis (MAP), the bacterium causing Johne’s disease, based on quantitative PCR (qPCR) from DNA extracted from environmental fecal samples is a cost-effective detection method with. The sensitivity of this method partly depends on the genetic target. The commonly used F57 gene is MAP-specific but only one copy of this gene is present in the MAP genome. Therefore, the aim of the study was to compare the test the sensitivity of a qPCR assay targeting the ISMAP02 gene, which has 6 copies, with an assay targeting the F57 gene to detect MAP in environmental fecal samples.

Materials and methods. Samples from the barn environment were collected on 22 Alberta dairy farms. At each farm, 3 samples were collected from lactating cow and manure storage areas. DNA was extracted followed by qPCR targeting F57 and ISMAP02 genes.

Results. Of the 22 farms, 13% of farms were MAP-positive for both genes with an additional 68% of farms were also ISMAP02-positive. Test agreement existed in all 18 out of 132 environmental samples that tested positive in qPCR using F57 and also using ISMAP02. However, an additional 93 samples only tested positive using ISMAP02. Finally, 21 samples tested negative in both qPCR targets. Additional results will be presented using USDA panel samples with known status to exclude false positive and false negative test results.

Conclusions. The ISMAP02 target-gene was more sensitive to detect MAP in environmental samples compared to F57 target gene. To further optimize prevalence estimations based on direct PCR of environmental samples, additional MAP-specific genes will be included in the final analysis to select the most sensitive and specific target for MAP detection.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0da647d3-dc10-425c-b927-f99978138079","Title":"Mrs.","FirstName":"Larissa","LastName":"Martins","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Martins L"},{"PresentationId":"0da647d3-dc10-425c-b927-f99978138079","Title":"Dr. ","FirstName":"Karin ","LastName":"Orsel ","Position":"Professor of Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Orsel K"},{"PresentationId":"0da647d3-dc10-425c-b927-f99978138079","Title":"Dr. ","FirstName":"Jeroen","LastName":"De Buck","Position":"Professor of Microbiology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"De Buck J"},{"PresentationId":"0da647d3-dc10-425c-b927-f99978138079","Title":"Dr. ","FirstName":"Herman","LastName":"Barkema","Position":"Professor of Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Barkema H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0da647d3-dc10-425c-b927-f99978138079","Number":1,"Affiliation":"University Of Calgary","City":"Calgary","State":"Ca-ab","Country":"Canada","AffiliationDisplay":"University Of Calgary, Calgary Ca-ab, Canada"}],"AuthorsHtml":"Martins L1, Orsel K1, De Buck J1, Barkema H1","AffiliationsHtml":"
1University Of Calgary, Calgary Ca-ab, Canada
"}],"DisplayName":"Larissa Martins","TimeDisplay":null},{"ContactId":"ecc96216-a9ba-4390-b49b-8e55dad390a7","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Munyaradzi","LastName":"Marufu","Position":"Senior Lecturer","Organization":"University of Pretoria","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Spatio‐temporal clustering and risk factor analysis of bovine theileriosis (Theileria Parva) in Zimbabwe from 1995 to 2018","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"dd69f228-2c5b-4531-b328-0906c0af3cd2","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Html":null,"PlainText":"Background
Bovine theileriosis is considered the most important tick-borne disease of cattle in sub–Saharan Africa. It presents a huge economic threat to cattle production in Zimbabwe. The disease is a major constraint limiting livestock production and improvement through cattle mortalities and widespread morbidities. Despite the huge threat posed on the Zimbabwean cattle industry, bovine theileriosis remains a disease with scant and outdated distribution dynamics data in the country.

Objective(s)
To investigate the spatial and temporal distribution of bovine theileriosis and to establish the high‐risk areas and associated risk factors of the disease in Zimbabwe.

Materials and methods
Records on bovine theileriosis spanning 23 years (January 1995 to December 2018) were obtained from the Epidemiological Unit of the Division of Field Veterinary Services of Zimbabwe (DVSZ). Data were analysed using SatScan® version 9.4.6 for spatio‐temporal clustering and Studio R® version 11.0 for regression analysis.

Results
Communal farmers (72%), adult cattle (29%), the year 2018 (60%) and the hot wet season (42%) had the highest proportion (p < 0.05) of bovine theileriosis cases recorded. Seven out of the country's ten provinces and 36 of its 59 districts were affected. Bovine theileriosis was observed to lose seasonality when cases rose exponentially in 2018. Five and four high‐risk clusters of bovine theileriosis were detected using one‐year and one‐month time aggregate, respectively, all within the last eight years of the study (2011–2018). Two potential risk factors (province and farming system) were significantly (p < 0.050) associated with bovine theileriosis occurrence.

Conclusion
Bovine theileriosis was found to be widespread and if left unchecked will spread and adversely affect the whole country. Improved theileriosis surveillance and control is warranted. Recommendations for control and prevention strategies revolve around better farmer awareness about the disease, correct and consistent use of acaricides, cattle movement control and disease surveillance.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Title":"Dr.","FirstName":"Munyaradzi","LastName":"Marufu","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Marufu M"},{"PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Title":"Mr","FirstName":"Musaemura","LastName":"Manyenyeka","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Manyenyeka M"},{"PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Title":"Dr ","FirstName":"Whatmore","LastName":"Tagwirei","Position":"Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Tagwirei W"},{"PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Title":"Dr","FirstName":"Moregood","LastName":"Spargo","Position":"Chief Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Spargo M"},{"PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Title":"Professor","FirstName":"Eric","LastName":"Etter","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Etter E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Number":1,"Affiliation":"Department of Veterinary Tropical Diseases, University Of Pretoria","City":"Pretoria","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Veterinary Tropical Diseases, University Of Pretoria, Pretoria Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Number":2,"Affiliation":"Department of Production Animal Studies, University of Pretoria","City":"Pretoria","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Production Animal Studies, University of Pretoria, Pretoria Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Number":3,"Affiliation":"Division of Veterinary Field Services, Ministry of Agriculture, Mechanisation and Irrigation Development,","City":"Harare","State":"Harare","Country":"Zimbabwe","AffiliationDisplay":"Division of Veterinary Field Services, Ministry of Agriculture, Mechanisation and Irrigation Development,, Harare Harare, Zimbabwe"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a478a776-b0b2-4baf-be6a-6a09ae4d68e5","Number":4,"Affiliation":"CIRAD, UMR Animal Santé, Risque et Ecosystèmes (ASTRE),","City":"Montpellier","State":"Occitanie Région","Country":"France","AffiliationDisplay":"CIRAD, UMR Animal Santé, Risque et Ecosystèmes (ASTRE),, Montpellier Occitanie Région, France"}],"AuthorsHtml":"Marufu M1, Manyenyeka M1, Tagwirei W2, Spargo M3, Etter E4","AffiliationsHtml":"
1Department of Veterinary Tropical Diseases, University Of Pretoria, Pretoria Gauteng, South Africa
2Department of Production Animal Studies, University of Pretoria, Pretoria Gauteng, South Africa
3Division of Veterinary Field Services, Ministry of Agriculture, Mechanisation and Irrigation Development,, Harare Harare, Zimbabwe
4CIRAD, UMR Animal Santé, Risque et Ecosystèmes (ASTRE),, Montpellier Occitanie Région, France
"}],"DisplayName":"Munyaradzi Marufu","TimeDisplay":null},{"ContactId":"ddddac3b-e85c-4198-997f-e4305780d5a1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nelson","LastName":"Matekwe","Position":"Chief State Veterinarian","Organization":"Veterinary Services","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/14deed413c074eecb24775be5caac9ba","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Health screening of tilapia (Oreochromis species) populations held at a tropical aquarium with particular focus on two specific pathogens: Mycobacteria spp. and Tilapia Lake Virus","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"667063d9-375f-4ec5-b082-d78c2e0088c0","Html":null,"PlainText":"Objectives

This study focused on establishing the health status of tilapia (Oreochromis species) populations at a tropical aquarium with particular focus on two specific pathogens which are Tilapia Lake virus and mycobacteria species. The objectives of this study were;
- To determine the Mycobacterium species present in tilapia in the tropical aquarium.
- To determine if Tilapia Lake Virus is present in the tilapia cohorts of the tropical aquarium.

Materials and methods

Molecular and histological diagnostic techniques were employed in order to achieve the objectives of the study. This was done through gross examination, histopathological analysis of Haematoxylin and Eosin (H&E) and Ziehl -Neelsen stained (ZN stain) tissue sections as well as nested polymerase chain reaction (nPCR) and sanger genetic sequencing on sump swabs and fish tissue extracted DNA for Mycobacterium spp. For TiLV, in addition to gross and histopathological examination, real time quantitative PCR (RT-qPCR) was used to detect the presence of TiLV RNA in tilapia fish tissue extracted RNA.

Results

The results indicated that Mycobacterium spp. were present in the water systems and fish in the tropical aquarium while TiLV was not detected in the tilapia fish tested.

Conclusion

Mycobacteria species were present in the water systems of the tropical aquarium as well as in the fish species held in the aquarium, however Tilapia Lake Virus was absent in the tilapia population held at the tropical aquarium.

Key words: Mycobacterium, Tilapia Lake Virus, health screening
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"667063d9-375f-4ec5-b082-d78c2e0088c0","Title":"Mr.","FirstName":"Nelson","LastName":"Matekwe","Position":"Chief State Veterinarian","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Matekwe N"},{"PresentationId":"667063d9-375f-4ec5-b082-d78c2e0088c0","Title":"Professor","FirstName":"Manfred","LastName":"Weidmann","Position":"Professor - Virology","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Weidmann M"},{"PresentationId":"667063d9-375f-4ec5-b082-d78c2e0088c0","Title":"Dr","FirstName":"Margaret","LastName":"Crumlish","Position":"Senior Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Crumlish M"},{"PresentationId":"667063d9-375f-4ec5-b082-d78c2e0088c0","Title":"Dr","FirstName":"Jessica","LastName":"Benkaroun","Position":"Postdoctoral Fellow","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Benkaroun J"},{"PresentationId":"667063d9-375f-4ec5-b082-d78c2e0088c0","Title":"Dr","FirstName":"Alexandre","LastName":"Pargana","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Pargana A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"667063d9-375f-4ec5-b082-d78c2e0088c0","Number":1,"Affiliation":"Veterinary Services, Northern Cape Province","City":"De Aar 7000","State":null,"Country":"South Africa","AffiliationDisplay":"Veterinary Services, Northern Cape Province, De Aar 7000, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"667063d9-375f-4ec5-b082-d78c2e0088c0","Number":2,"Affiliation":"Institute of Aquaculture, University of Stirling","City":"Stirling, FK9 4LA","State":null,"Country":"Scotland (United Kingdom)","AffiliationDisplay":"Institute of Aquaculture, University of Stirling, Stirling, FK9 4LA, Scotland (United Kingdom)"}],"AuthorsHtml":"Matekwe N1,2, Weidmann M2, Crumlish M2, Benkaroun J2, Pargana A2","AffiliationsHtml":"
1Veterinary Services, Northern Cape Province, De Aar 7000, South Africa
2Institute of Aquaculture, University of Stirling, Stirling, FK9 4LA, Scotland (United Kingdom)
"}],"DisplayName":"Nelson Matekwe","TimeDisplay":null},{"ContactId":"809d4748-d13e-4fd4-89c9-a0068ac04b00","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nina","LastName":"Matsumoto","Position":"PhD Candidate","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"nmatsu_epivet","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"nmatsu_epivet","GooglePlusUrl":null,"TwitterHandle":"nmatsu_epivet","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"nmatsu_epivet","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=nmatsu_epivet","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://nmatsu_epivet","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=nmatsu_epivet","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://nmatsu_epivet","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[{"Title":"Transmission parameter estimation for ASF between Lao smallholder pigs","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4494347e-0d84-4bd8-b95a-2822b218f248","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Html":null,"PlainText":"Keywords: Bayesian models, Disease modelling, ASF

Objectives: The epidemiology and modelling of African Swine Fever (ASF) is a topic of wide discussion since its 2018 arrival in China and subsequent spread throughout Southeast Asia into Lao Peoples Democratic Republic (PDR). Lao PDR presents unique challenges to ASF control, where production systems are varied, and extensive shared land borders allow for porous disease spread. ASF transmission studies on commercially raised pigs provide estimates of R0 ranging from 2.67-16.2 or higher depending on the study. To date, there is no published data on ASF transmission amongst smallholder village pigs, where ASF risk factors such as free-ranging are common, but pig density is much lower.

Materials and methods: Daily ASF mortality data from four smallholder villages representing the northern Lao province of Oudomxay (n = 2) and the southern province of Savannakhet (n = 2) were collected as part of a structured disease outbreak investigation survey. These data were then fitted to a deterministic Susceptible-Latent-Infectious-Removed model through a stepwise Approximate Bayesian Computation with Sequential Monte Carlo (ABC-SMC) approach. The ABC-SMC model utilised priors from literature on the Georgia 2007 ASF strain and field data collected at the same time as the mortality data to estimate output parameters (R0, mean latent period, mean infectious period) for ASF that best fitted the available mortality data.

Results: The model’s posterior outputs demonstrated the R0 to be 1.07-1.76, the mean latent period to be 4.72-6.19 days and the mean infectious period to be 2.63-5.5 days.

Conclusions: These results show that ASF transmission is notably different in the Lao smallholder setting compared to commercial settings. The variation in infectious period from previously published data warrants further investigation, and assumptions of homogenous mixing amongst free-ranging smallholder pigs must be treated with caution in future disease spread models.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Title":"Ms.","FirstName":"Nina","LastName":"Matsumoto","Position":"PhD Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Matsumoto N"},{"PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Title":null,"FirstName":"Tariq","LastName":"Halasa","Position":"Principal Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Halasa T"},{"PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Title":"Dr","FirstName":"Jarunee","LastName":"Siengsanan-Lamont","Position":"Consultant","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Siengsanan-Lamont J"},{"PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Toribio J"},{"PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Title":null,"FirstName":"Russell","LastName":"Bush","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Bush R"},{"PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Title":null,"FirstName":"Stuart","LastName":"Blacksell","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Blacksell S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Number":1,"Affiliation":"University Of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"University Of Sydney, Camden NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Number":2,"Affiliation":"Mahidol Oxford Tropical Medicine Research Unit","City":"Bangkok","State":"Bangkok","Country":"Thailand","AffiliationDisplay":"Mahidol Oxford Tropical Medicine Research Unit, Bangkok Bangkok, Thailand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"29d49ec3-a67d-4d7b-8e66-5c0f11d3263e","Number":3,"Affiliation":"Novo Nordisk","City":"Copenhagen","State":"Bagsværd","Country":"Denmark","AffiliationDisplay":"Novo Nordisk, Copenhagen Bagsværd, Denmark"}],"AuthorsHtml":"Matsumoto N1, Halasa T3, Siengsanan-Lamont J2, Toribio J1, Bush R1, Blacksell S2","AffiliationsHtml":"
1University Of Sydney, Camden NSW, Australia
2Mahidol Oxford Tropical Medicine Research Unit, Bangkok Bangkok, Thailand
3Novo Nordisk, Copenhagen Bagsværd, Denmark
"},{"Title":"Assessing the presence of spatial clustering of Lao African Swine Fever outbreaks in 2019","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e7789c9b-e251-41e1-85bd-6f51c758b7ff","Html":null,"PlainText":"Keywords: Spatial epidemiology, participatory epidemiology, African Swine Fever, Spatio-Temporal Permutation analysis

Objectives: In 2019 an outbreak of African Swine Fever (ASF) began in Lao People’s Democratic Republic (PDR). The epidemic spread across Laos causing severe losses, with particular impacts on vulnerable smallholder populations. By investigating the outbreak for spatiotemporal clustering, epidemiologists and policymakers can gain better understanding of the spread of ASF and future epizootics in the region.

Materials and methods: Spatial data were collected at the village level during a disease outbreak investigation in Thapangtong district of Savannakhet province, where ASF-affected villagers collaborated with Lao Department of Livestock and Fisheries staff to create maps of their villages, indicating the location of their pigs and resources such as watering points and forests with wild boar. National level data were collated from a list of all rt-PCR confirmed ASF outbreak reports between June-December 2019, matched to Lao Agricultural Census and DIVA-GIS Lao Gazeteer coordinate data. Due to the high probability of non-reporting bias, a spatio-temporal permutation cluster analysis identified unusually high numbers of cases in the absence of high quality control data.

Results: At the village level numerous significant multi-household clusters were present across the outbreak period in both the villages affected. Nationally there appeared to be three major groupings of village clusters in the South (early outbreak), Central (mid outbreak) and Northern (late outbreak) regions of Lao PDR, and all recorded village outbreaks occurred over the course of 188 days.

Conclusions: The village level data suggests that there is a spatial component to the spread of ASF among smallholder villager pigs, which should be accounted for in modelling. The national pattern of clustering suggests a trend of northward movement of ASF, which warrants further investigation of potential risk factors and regional pressures that may have facilitated this pattern of spread.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e7789c9b-e251-41e1-85bd-6f51c758b7ff","Title":"Ms.","FirstName":"Nina","LastName":"Matsumoto","Position":"PhD Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Matsumoto N"},{"PresentationId":"e7789c9b-e251-41e1-85bd-6f51c758b7ff","Title":"Prof.","FirstName":"Michael","LastName":"Ward","Position":"Chair, Veterinary Public Health","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Ward M"},{"PresentationId":"e7789c9b-e251-41e1-85bd-6f51c758b7ff","Title":"Dr","FirstName":"Jarunee","LastName":"Siengsanan-Lamont","Position":"Consultant","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Siengsanan-Lamont J"},{"PresentationId":"e7789c9b-e251-41e1-85bd-6f51c758b7ff","Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Toribio J"},{"PresentationId":"e7789c9b-e251-41e1-85bd-6f51c758b7ff","Title":null,"FirstName":"Russell","LastName":"Bush","Position":"Associate Professor","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Bush R"},{"PresentationId":"e7789c9b-e251-41e1-85bd-6f51c758b7ff","Title":null,"FirstName":"Stuart","LastName":"Blacksell","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Blacksell S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e7789c9b-e251-41e1-85bd-6f51c758b7ff","Number":1,"Affiliation":"University Of Sydney","City":"West Busselton","State":"WA","Country":"Australia","AffiliationDisplay":"University Of Sydney, West Busselton WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e7789c9b-e251-41e1-85bd-6f51c758b7ff","Number":2,"Affiliation":"Mahidol Oxford Tropical Medicine Research Unit","City":"Bangkok","State":"Bangkok","Country":"Thailand","AffiliationDisplay":"Mahidol Oxford Tropical Medicine Research Unit, Bangkok Bangkok, Thailand"}],"AuthorsHtml":"Matsumoto N1, Ward M, Siengsanan-Lamont J, Toribio J, Bush R, Blacksell S","AffiliationsHtml":"
1University Of Sydney, West Busselton WA, Australia
2Mahidol Oxford Tropical Medicine Research Unit, Bangkok Bangkok, Thailand
"},{"Title":"Investigating financial losses caused by ASF outbreaks on smallholder village households in Lao PDR","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"313e3d06-1fa8-4057-9269-9079b0f1cb76","Html":null,"PlainText":"Objectives: African Swine Fever (ASF) is a deadly disease of pigs causing mass mortalities and severe herd losses in smallholder settings. The 2019 incursion of ASF into Lao People’s Democratic Republic (PDR) began amongst smallholder villages in the southern provinces of Salavan and Savannakhet. This study utilized outbreak investigation data and household-level financial data to estimate the financial burden of lost pigs caused by the July 2019 outbreak in two ASF-affected villages in the Thapangtong district of Savannakhet province.

Materials and methods: Lao Provincial and District Agriculture and Forestry Office (PAFO and DAFO) staff attended the ASF-affected villages of Densateung and Phouphanang-Khampia, alongside two unaffected but comparable villages in the same district. The PAFO and DAFO staff worked with n = 99 households to complete survey of 28 questions on smallholder knowledge, attitudes and practices regarding pig rearing and disease and the value of their herds. This was then combined with outbreak mortality data in a Monte-Carlo simulation over 10,000 iterations.

Results: In the ASF-affected villages, an average household herd size of 9 pigs died in the outbreak, with a mean herd value of USD 216.44, 95% CI (137.79 - 238.96). One outlier household owned 40 piglets and 4 sows, losing USD 3023.59. After Monte-Carlo simulation, the mean financial losses were estimated at USD 215.00, 95% CI (31.19 – 569.30) with SEM +/- USD 26.85.

Conclusions: This single ASF outbreak caused substantial financial losses at the household level amongst Lao smallholders. The data also demonstrated marked heterogeneity in herd size and value. Almost half of all households in Thapangtong district are affected by poverty, and financial losses at this scale present a significant threat to smallholder financial resilience and food security. ASF control in the region remains a priority for the protection of vulnerable populations against poverty.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"313e3d06-1fa8-4057-9269-9079b0f1cb76","Title":"Ms.","FirstName":"Nina","LastName":"Matsumoto","Position":"PhD Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Matsumoto N"},{"PresentationId":"313e3d06-1fa8-4057-9269-9079b0f1cb76","Title":"Dr","FirstName":"Jarunee","LastName":"Siengsanan-Lamont","Position":"Consultant","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Siengsanan-Lamont J"},{"PresentationId":"313e3d06-1fa8-4057-9269-9079b0f1cb76","Title":"Prof.","FirstName":"Michael","LastName":"Ward","Position":"Chair, Veterinary Public Health","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Ward M"},{"PresentationId":"313e3d06-1fa8-4057-9269-9079b0f1cb76","Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Toribio J"},{"PresentationId":"313e3d06-1fa8-4057-9269-9079b0f1cb76","Title":null,"FirstName":"Russell","LastName":"Bush","Position":"Associate Professor","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Bush R"},{"PresentationId":"313e3d06-1fa8-4057-9269-9079b0f1cb76","Title":null,"FirstName":"Stuart","LastName":"Blacksell","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Blacksell S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"313e3d06-1fa8-4057-9269-9079b0f1cb76","Number":1,"Affiliation":"Sydney School of Veterinary Sciences, The University Of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Sciences, The University Of Sydney, Camden NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"313e3d06-1fa8-4057-9269-9079b0f1cb76","Number":2,"Affiliation":"Mahidol Oxford Tropical Medicine Research Unit","City":"Bangkok","State":"Bangkok","Country":"Thailand","AffiliationDisplay":"Mahidol Oxford Tropical Medicine Research Unit, Bangkok Bangkok, Thailand"}],"AuthorsHtml":"Matsumoto N1, Siengsanan-Lamont J, Ward M, Toribio J, Bush R, Blacksell S","AffiliationsHtml":"
1Sydney School of Veterinary Sciences, The University Of Sydney, Camden NSW, Australia
2Mahidol Oxford Tropical Medicine Research Unit, Bangkok Bangkok, Thailand
"}],"DisplayName":"Nina Matsumoto","TimeDisplay":null},{"ContactId":"0c093595-d4a2-4e9b-891f-b987594322c7","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ryota","LastName":"Matsuyama","Position":"","Organization":"Rakuno Gakuen University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/edc92d1da4c74810bc1477d4ace37807","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluating vaccine effectiveness for classical swine fever among wild boar considering their population dynamics","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"bb72cde5-795a-49f0-831c-14cfe86582a7","Html":null,"PlainText":"Objectives: Since the re-emergence of classical swine fever (CSF) in domestic pigs and wild boar in September 2018, the epidemic of CSF has continued in Japan. To control CSF among wild boar, bait vaccine campaigns have been implemented since March 2019. While the reported number of immuned wild boar increased after the vaccination, the cause of their immunization has not been differentiated clearly, i.e., recovery (i.e., survival) from CSF or vaccination. It makes the estimation of vaccine effectiveness difficult. In this study, we aimed to estimate the morbidity, mortality and the impact of bait vaccination for CSF among Japanese wild boar by modelling the dynamics of CSF and the population dynamics of wild boar.
Materials and methods: Two different mathematical models were constructed. One was constructed to derive the relation between time series of infected (i.e., RT-PCR positive), immuned (i.e., RT-PCR negative ELISA positive), and total population size of wild boar before the vaccination. Another one was to derive the relation between the CSF transmission dynamics, population dynamics of wild boar, and the distribution of bait vaccines after vaccination. Fitting these models to observed data collected in Gifu prefecture during 2018-2019, i) case fatality ratio (CFR) of CSF and ii) the impact of vaccination were estimated.
Results: CFR was estimated to be approximately 95% by both models. By the second model, the increase in the proportion of immuned boar by vaccination in 2019 was estimated to be 20.2 % (95%CI: 12.9-27.5%).
Conclusion: Our results suggest that i) Japanese wild boar rarely recovered from CSF during 2018-2019 and ii) the bait vaccination increased the proportion of immunized boar. To optimize the control strategy against CSF, the persistence of CSF epidemic among wild boar and the cost-effectiveness of vaccination should be further considered.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bb72cde5-795a-49f0-831c-14cfe86582a7","Title":"Dr.","FirstName":"Ryota","LastName":"Matsuyama","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Matsuyama R"},{"PresentationId":"bb72cde5-795a-49f0-831c-14cfe86582a7","Title":"Dr.","FirstName":"Yoko","LastName":"Hayama","Position":"Senior Researcher","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Hayama Y"},{"PresentationId":"bb72cde5-795a-49f0-831c-14cfe86582a7","Title":"Mr.","FirstName":"Takehisa","LastName":"Yamamoto","Position":"Deputy Leader","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Yamamoto T"},{"PresentationId":"bb72cde5-795a-49f0-831c-14cfe86582a7","Title":"Dr.","FirstName":"Ryosuke","LastName":"Omori","Position":"","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Omori R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bb72cde5-795a-49f0-831c-14cfe86582a7","Number":1,"Affiliation":"Graduate School of Biomedical and Health Sciences, Hiroshima University","City":"Hiroshima","State":null,"Country":"Japan","AffiliationDisplay":"Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bb72cde5-795a-49f0-831c-14cfe86582a7","Number":2,"Affiliation":"Viral Disease and Epidemiology Research Division, National Institute of Animal Health","City":"Tsukuba","State":null,"Country":"Japan","AffiliationDisplay":"Viral Disease and Epidemiology Research Division, National Institute of Animal Health, Tsukuba, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bb72cde5-795a-49f0-831c-14cfe86582a7","Number":3,"Affiliation":"International Institute for Zoonosis Control, Hokkaido University","City":"Sapporo","State":null,"Country":"Japan","AffiliationDisplay":"International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan"}],"AuthorsHtml":"Matsuyama R1, Hayama Y2, Yamamoto T2, Omori R3","AffiliationsHtml":"
1Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
2Viral Disease and Epidemiology Research Division, National Institute of Animal Health, Tsukuba, Japan
3International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
"}],"DisplayName":"Ryota Matsuyama","TimeDisplay":null},{"ContactId":"79f904dc-3f28-4331-9555-d35fd0d86908","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Filipe Miguel","LastName":"Maximiano Alves De Sousa","Position":"Phd Student","Organization":"Veterinary Public Health Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/51219bfd236b4826a4beda22e6fcff59","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Comparing three computational methods for determining use of space of free-roaming domestic dogs ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"36947d98-1027-4d36-b6f8-5521038668f1","Html":null,"PlainText":"Understanding which sites are frequently visited by free-roaming domestic dogs (FRDD) can inform disease control programs and disease transmission simulation models. The Utilization Distribution (UD), Intensity Distribution (ID) and Recursion Distribution (RD) methods can be used for assessing space usage by animals, namely FRDD. The objective of this study was to compare the number and type of sites visited, as determined by the three computational methods.

Ten FRDD in Busia, western Kenya, were collared with GPS units for five days. Data were analyzed using the three methods. For each computational method, 10%, 50%, and 90% isopleths and centroid points were estimated. Each estimated centroid point was visited by one of the study authors, and the structure or area to which it corresponded was noted.

A total of 33, 42, and 84 centroid points were extracted, based on the computation of the UD, ID and RD, respectively. For both UD and ID methods, the two most frequently visited locations were the dog’s homestead and other human compounds. On the other hand, the most frequently visited locations based on the RD varied depending on the isopleth, and included other human compounds, fields, and rubbish dumps. Furthermore, some of the RD centroids corresponded to locations that were not identified with the other methods, including a slaughterhouse, a pit latrine and a banana plantation field in neighboring Uganda.

In this study we showed that UD, ID and RD can yield different results, with outputs extracted from the RD varying the most. The use of these methods may therefore be complementary, depending on whether the focus is on sites that are visited frequently, but for short periods of time, or sites where dogs spend more time. This, in turn, should be guided by the disease of interest and its transmission patterns.

Dog movements; spatial epidemiology

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"36947d98-1027-4d36-b6f8-5521038668f1","Title":"Mr.","FirstName":"Filipe Miguel","LastName":"Maximiano Alves De Sousa","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Maximiano Alves De Sousa F"},{"PresentationId":"36947d98-1027-4d36-b6f8-5521038668f1","Title":"Dr.","FirstName":"John","LastName":"Berezowski","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Berezowski J"},{"PresentationId":"36947d98-1027-4d36-b6f8-5521038668f1","Title":"Dr.","FirstName":"Salome","LastName":"Dürr","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Dürr S"},{"PresentationId":"36947d98-1027-4d36-b6f8-5521038668f1","Title":"Dr.","FirstName":"Laura","LastName":"Falzon","Position":"","Affiliations":"3,4","IsPresenting":false,"SortOrder":4,"DisplayName":"Falzon L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36947d98-1027-4d36-b6f8-5521038668f1","Number":1,"Affiliation":"Veterinary Public Health Institute, University of Bern","City":"Liebefeld","State":"Bern","Country":"Switzerland","AffiliationDisplay":"Veterinary Public Health Institute, University of Bern, Liebefeld Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36947d98-1027-4d36-b6f8-5521038668f1","Number":2,"Affiliation":"Scotland’s Rural College, Inverness Campus","City":null,"State":"Inverness","Country":"United Kingdom","AffiliationDisplay":"Scotland’s Rural College, Inverness Campus, Inverness, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36947d98-1027-4d36-b6f8-5521038668f1","Number":3,"Affiliation":"Institute of Infection, Veterinary, and Ecological Sciences, University of Liverpool","City":null,"State":"Liverpool","Country":"United Kingdom","AffiliationDisplay":"Institute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36947d98-1027-4d36-b6f8-5521038668f1","Number":4,"Affiliation":"International Livestock Research Institute, Nairobi, Kenya ","City":null,"State":null,"Country":null,"AffiliationDisplay":"International Livestock Research Institute, Nairobi, Kenya "}],"AuthorsHtml":"Maximiano Alves De Sousa F1, Berezowski J2, Dürr S1, Falzon L3,4","AffiliationsHtml":"
1Veterinary Public Health Institute, University of Bern, Liebefeld Bern, Switzerland
2Scotland’s Rural College, Inverness Campus, Inverness, United Kingdom
3Institute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
4International Livestock Research Institute, Nairobi, Kenya
"}],"DisplayName":"Filipe Miguel Maximiano Alves De Sousa","TimeDisplay":null},{"ContactId":"7f9d3ab8-3e84-4f25-aed0-7961f04c59ba","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Dianne","LastName":"Mayberry","Position":"RS","Organization":"CSIRO","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/23f751d258674d1a92fd6de4caf812e1","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"dimaybs","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"dimaybs","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=dimaybs","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=dimaybs","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Understanding livestock production systems for disease burden analysis","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"d160e9b5-1581-4d0b-b722-7db64592907c","Html":null,"PlainText":"As part of the Global Burden of Animal Diseases (GBADs) Program, the Populations and Production Systems Theme is collating and analysing data to quantify the biomass and economic value of terrestrial livestock production at local and global scales. This information underpins analyses by other GBADs Themes to understand the magnitude and value of animal health losses within a system, and how changes in livestock populations might impact livelihoods and the environment.
Biomass is the sum of individual liveweights for a given population. At the global scale, this can be calculated using country-level estimates of livestock populations (e.g., from FAOSTAT) and liveweight values based on either generic species-level assumptions (e.g., Tropical Livestock Units) or proxy data (e.g., average slaughter weight). More accurate estimates of biomass are available at national and sub-national scales in countries where data is available to disaggregate populations by breed, sex, and age structure, and more appropriate liveweight values can be assigned to each class of livestock. The economic value of livestock production was calculated at the global scale as the combination of asset values (i.e., live animals) and output values (e.g., meat, eggs, milk).
At the global scale, while poultry have the largest population (25.4 billion head, 38.8 billion kg liveweight, 444 billion USD in 2018), biomass and market value are dominated by the cattle sector (1.5 billion head, 483.7 billion kg liveweight, 1.79 trillion USD in 2018). The comparison of asset and output values for livestock across different species and countries highlights differences in the ways livestock are valued. For example, results suggest that poultry and pigs are mostly valued for the output they produce (meat and eggs), while cattle and small ruminants have similar asset and production values. The relative contribution of asset value to total market value is highest in low- and middle-income countries, reflecting the varying and complex socio-economic roles of livestock around the world.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d160e9b5-1581-4d0b-b722-7db64592907c","Title":"Ms.","FirstName":"Dianne","LastName":"Mayberry","Position":"RS","Affiliations":"1","IsPresenting":true,"SortOrder":0,"DisplayName":"Mayberry D"},{"PresentationId":"d160e9b5-1581-4d0b-b722-7db64592907c","Title":"Dr.","FirstName":"Yin","LastName":"Li","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Li Y"},{"PresentationId":"d160e9b5-1581-4d0b-b722-7db64592907c","Title":"Dr.","FirstName":"Peggy","LastName":"Schrobback","Position":"Research Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Schrobback P"},{"PresentationId":"d160e9b5-1581-4d0b-b722-7db64592907c","Title":null,"FirstName":"Gabriel","LastName":"Dennis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Dennis G"},{"PresentationId":"d160e9b5-1581-4d0b-b722-7db64592907c","Title":"Dr","FirstName":"Mario","LastName":"Herrero Acosta","Position":"Prof","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Herrero Acosta M"},{"PresentationId":"d160e9b5-1581-4d0b-b722-7db64592907c","Title":null,"FirstName":"Carlos","LastName":"Fischer","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Fischer C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d160e9b5-1581-4d0b-b722-7db64592907c","Number":1,"Affiliation":"CSIRO Agriculture and Food","City":"St. Lucia","State":null,"Country":"Australia","AffiliationDisplay":"CSIRO Agriculture and Food, St. Lucia, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d160e9b5-1581-4d0b-b722-7db64592907c","Number":2,"Affiliation":"Department of Global Development, College of Agriculture and Life Sciences, and Cornell Atkinson Centre for Sustainability, Cornell University","City":"Ithaca","State":null,"Country":"USA","AffiliationDisplay":"Department of Global Development, College of Agriculture and Life Sciences, and Cornell Atkinson Centre for Sustainability, Cornell University, Ithaca, USA"}],"AuthorsHtml":"Mayberry D1, Li Y1, Schrobback P1, Dennis G1, Herrero Acosta M2, Fischer C2","AffiliationsHtml":"
1CSIRO Agriculture and Food, St. Lucia, Australia
2Department of Global Development, College of Agriculture and Life Sciences, and Cornell Atkinson Centre for Sustainability, Cornell University, Ithaca, USA
"}],"DisplayName":"Dianne Mayberry","TimeDisplay":null},{"ContactId":"c2801df5-e1de-4e1c-aaed-289f61b6a5c5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Matteo","LastName":"Mazzucato","Position":null,"Organization":"Istituto Zooprofilattico Sperimentale delle Venezie","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9809678964b64e819bb372bc2a83c416","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"EnterVetIS, an Information System for the surveillance of Salmonella from non-human sources in Italy.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"b504d943-b586-457b-8736-19f233d1fd11","Html":null,"PlainText":"1. Objective(s)
Salmonella is one of the main causes of foodborne illnesses worldwide and the collection of data on serovars distribution from non-human sources is of paramount importance in order to identify potential sources of infection and set up effective control measures.
Besides to the mandatory data collection on zoonoses and zoonotic agents in the framework of Directive 2003/99/EC, national surveillance activities have crucial roles in highlighting relevant local scenarios that deserves the definition of specific control plans.
Hereby the Information System(IS), used to guarantee a continuous data collection on Salmonella surveillance, is discussed and described in its organisational and technological aspects.

2. Materials and methods
Enter-Vet is a surveillance system that relies on the collaboration of laboratories belonging to the Italian network of ten laboratories of the Istituti Zooprofilattici Sperimentali. Due to the geographical locations of the laboratories, the different IT organisations and infrastructures, a dedicated IS (EnterVetIS).
The technological component consists on data (both metadata and analytical results) and application. PostGreSQL database technologies are used to stored data. HTML, JavaScript and PHP are used to develop the web application. Reports are generated with the Qlik Sense dashboard engine.

3. Results
Data are daily updated via a user-friendly web application with specific functionalities. Information can be visualised and summarised in different ways thanks to the Qlik Sense reports organised in dashboards.
Since July 2017, approximatively 19,000 Salmonella strains have been recorded.

4. Conclusion
Despite limitations related to non-mandatory participation of laboratories in EnterVetIS, a constant amount of data are recorded each year and available for local/national and European scientific assessment. In particular a pre-defined output is routinely sent to EFSA within the Molecular Typing Project and thanks to EnterVetIS, the NRL-Salmonella may rapidly respond to epidemiological questions raised both by national and international Competent Authorities.

Keywords: IS, Salmonella, Monitoring","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b504d943-b586-457b-8736-19f233d1fd11","Title":"Mr.","FirstName":"Matteo","LastName":"Mazzucato","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mazzucato M"},{"PresentationId":"b504d943-b586-457b-8736-19f233d1fd11","Title":"Mrs.","FirstName":"Lisa","LastName":"Barco","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Barco L"},{"PresentationId":"b504d943-b586-457b-8736-19f233d1fd11","Title":"Ms.","FirstName":"Marta","LastName":"Leati","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Leati M"},{"PresentationId":"b504d943-b586-457b-8736-19f233d1fd11","Title":"Ms.","FirstName":"Marzia","LastName":"Mancin","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Mancin M"},{"PresentationId":"b504d943-b586-457b-8736-19f233d1fd11","Title":"Ms.","FirstName":"Paola","LastName":"Bonato","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Bonato P"},{"PresentationId":"b504d943-b586-457b-8736-19f233d1fd11","Title":"Mrs.","FirstName":"Veronica","LastName":"Cibin","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Cibin V"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b504d943-b586-457b-8736-19f233d1fd11","Number":1,"Affiliation":"Istituto Zooprofilattico Sperimentale delle Venezie","City":"Legnaro","State":"Padua","Country":"Italy","AffiliationDisplay":"Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro Padua, Italy"}],"AuthorsHtml":"Mazzucato M1, Barco L1, Leati M1, Mancin M1, Bonato P1, Cibin V1","AffiliationsHtml":"
1Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro Padua, Italy
"},{"Title":"Development of a Support Decision System dedicated to the management of Highly Pathogenic Avian Influenza epidemic in Italy.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0791157-2a58-4eff-83c4-05e358114fbc","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.E - Epidemiology of avian influenza","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"d6523eb0-61a9-44cd-9bc3-b3f6eb37b8d9","Html":null,"PlainText":"Objective(s)
From October 2021, North-eastern Italy was involved in a severe H5N1 High Pathogenic Avian Influenza epidemic. In less than three months, more than 300 outbreaks were notified with massive repercussions on the poultry production. The high number of daily cases hampered the capacity to counter the disease spread, prompting for the development of a tool to keep track of the evolving epidemiological situation and control measures applied. Therefore, a Support Decision System was developed, exploiting well-established data interoperability standards, data warehouse framework, and web-based GIS technologies. This led to an integrated system for visualising, querying and analysing data, ultimately allowing the interaction between different operators/experts, such as Epidemiologists, GIS and Data manager, and decision makers.

Materials and methods
A dedicated Data Warehouse (DWH) infrastructure was developed using RDBMS Oracle®11g to harmonise data from different sources (e.g. spatial data, animal registry, production). The available data and epidemiological information were collected and visualised via a set of web applications, developed using HTML5, JavaScript, PHP/Java technologies, on RDBMS PostGreSQL®. All the official documents, on each outbreak and control measures, were stored using a web-based document and activity flows software (ARXivarNEXT).

Results
The developed SDS provides a useful tool to explore data under different perspectives. Information can be visualised both spatially (webGIS) and in non-spatial ways (tables, charts) through dedicated web applications, thanks to the implementation of the DWH, integrating different types of data from multiple databases. In addition,ArxivarNEXT allows to quickly find and retrieve all the formal documents.

Conclusion
The proposed architecture overcomes the weakness of a closely coupled design, enabling dynamic data integration from different providers, allowing interoperability between data and application.The SDS for the management of the HPAI epidemic has proved its helpfulness in decision making, showing the real time progression of the disease spread.

Keywords: SDS, HPAI, Outbreak response","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d6523eb0-61a9-44cd-9bc3-b3f6eb37b8d9","Title":"Mr.","FirstName":"Matteo","LastName":"Mazzucato","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mazzucato M"},{"PresentationId":"d6523eb0-61a9-44cd-9bc3-b3f6eb37b8d9","Title":"Ms.","FirstName":"Paola","LastName":"Bonato","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Bonato P"},{"PresentationId":"d6523eb0-61a9-44cd-9bc3-b3f6eb37b8d9","Title":"Mrs.","FirstName":"Monica","LastName":"Lorenzetto","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Lorenzetto M"},{"PresentationId":"d6523eb0-61a9-44cd-9bc3-b3f6eb37b8d9","Title":"Mr.","FirstName":"Matteo","LastName":"Trolese","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Trolese M"},{"PresentationId":"d6523eb0-61a9-44cd-9bc3-b3f6eb37b8d9","Title":"Mrs.","FirstName":"Grazia","LastName":"Manca","Position":"Dr","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Manca G"},{"PresentationId":"d6523eb0-61a9-44cd-9bc3-b3f6eb37b8d9","Title":"Mr.","FirstName":"Nicola","LastName":"Ferrè","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Ferrè N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d6523eb0-61a9-44cd-9bc3-b3f6eb37b8d9","Number":1,"Affiliation":"Istituto Zooprofilattico Sperimentale delle Venezie","City":"Legnaro","State":"Padua","Country":"Italy","AffiliationDisplay":"Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro Padua, Italy"}],"AuthorsHtml":"Mazzucato M1, Bonato P1, Lorenzetto M1, Trolese M1, Manca G1, Ferrè N1","AffiliationsHtml":"
1Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro Padua, Italy
"}],"DisplayName":"Matteo Mazzucato","TimeDisplay":null},{"ContactId":"4eee1049-84f3-4754-9b30-291b03806e12","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Irene","LastName":"Mbatidde","Position":null,"Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Antimicrobial use patterns and resistance on the poultry farms in Wakiso district, Uganda ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Html":null,"PlainText":"Objective:
A cross sectional study was carried out to 1) describe the antimicrobial use patterns among poultry farmers in Wakiso 2) establish resistant profiles of Salmonella, E. coli and Enterococci among poultry farms in Wakiso.
Methods:
A cross sectional study in Wakiso district was carried out in October and November 2021 for a period of 6 weeks. A semi structured questionnaire was used to collect data on antimicrobial use on the farms. Boot sock sampling was used to collect samples from the whole poultry house. A composite sample of faecal material was also collected from the poultry house.
The information on antimicrobial use is being analyzed for descriptive statistics. The faecal samples were cultured in the laboratory for Isolation of Salmonella, E. coli and Enterococci. The Isolates will further be tested to establish their resistant profiles. The composite sample was used to quantify resistant coliforms against cefotaxime and colistin
Results:
A total of 200 poultry farms in Wakiso were visited, 211 boot sock samples and 211 composite samples were collected. 29.85% of the respondents were male while 70.15% were female.37.38% had attained secondary level of education. There was observed widespread use of antimicrobials on the farms for treatment of different conditions as well as prevention of disease. The most used groups of antibiotics were, Penicillins, Tetracyclines and Aminoglycosides while Sulphonamides were the least used. From the laboratory analysis, out of the 211 samples collected, Salmonella was isolated at a rate of 8.5%, E. coli at 77.3% and Enterococcus at 62.6%. Resistant coliforms to cefotaxime (5I.7%) and colistin (45.5%) were also identified.
Conclusion:
There are indications of resistant coliforms among poultry farms in Wakiso. This is attributed to the observed continuous use of antibiotics on the poultry farms. There is need to improve antimicrobial use among farmers. Proper diagnosis of conditions is one possible way that will reduce the use of different antibiotics at farm level.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Title":"Ms.","FirstName":"Irene","LastName":"Mbatidde","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mbatidde I"},{"PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Title":"Dr.","FirstName":"Dickson","LastName":"Ndoboli","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ndoboli D"},{"PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Title":null,"FirstName":"Dreck","LastName":"Ayebare","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Ayebare D"},{"PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Title":null,"FirstName":"Savino","LastName":"Biryomumaisho","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Biryomumaisho S"},{"PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Title":"Ms.","FirstName":"Kristina","LastName":"Roesel","Position":"Scientist","Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Roesel K"},{"PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Title":"Mr.","FirstName":"Michel","LastName":"Dione","Position":"Senior Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Dione M"},{"PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Title":null,"FirstName":"Bernd-Alois","LastName":"Tenhagen","Position":"","Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Tenhagen B"},{"PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Title":null,"FirstName":"Arshnee","LastName":"Moodley","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":8,"DisplayName":"Moodley A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Number":1,"Affiliation":"Animal and Human Health Research Program, International Livestock Research Institute(ILRI) ","City":"Kampala","State":"Kampala, Naguru","Country":"Uganda","AffiliationDisplay":"Animal and Human Health Research Program, International Livestock Research Institute(ILRI) , Kampala Kampala, Naguru, Uganda"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Number":2,"Affiliation":"Federal Institute for Risk Assessment ","City":"Berlin","State":"Berlin","Country":"Germany","AffiliationDisplay":"Federal Institute for Risk Assessment , Berlin Berlin, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Number":3,"Affiliation":"Animal and Human Health Research Program, International Livestock Research Institute (ILRI)","City":"Dhaka","State":"Dhaka","Country":"Senegal","AffiliationDisplay":"Animal and Human Health Research Program, International Livestock Research Institute (ILRI), Dhaka Dhaka, Senegal"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Number":4,"Affiliation":"College of Veterinary Medicine, Animal Resources and Biosecurity (CoVAB), Makerere University","City":"Kampala","State":null,"Country":"Uganda","AffiliationDisplay":"College of Veterinary Medicine, Animal Resources and Biosecurity (CoVAB), Makerere University, Kampala, Uganda"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b65384e2-5ae9-4d04-a3c5-45bdc27c567f","Number":5,"Affiliation":"Animal and Human Health Research Program, International Livestock Research Institute (ILRI) ","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"Animal and Human Health Research Program, International Livestock Research Institute (ILRI) , Nairobi, Kenya"}],"AuthorsHtml":"Mbatidde I1, Ndoboli D1, Ayebare D1, Biryomumaisho S4, Roesel K5, Dione M3, Tenhagen B2, Moodley A5","AffiliationsHtml":"
1Animal and Human Health Research Program, International Livestock Research Institute(ILRI) , Kampala Kampala, Naguru, Uganda
2Federal Institute for Risk Assessment , Berlin Berlin, Germany
3Animal and Human Health Research Program, International Livestock Research Institute (ILRI), Dhaka Dhaka, Senegal
4College of Veterinary Medicine, Animal Resources and Biosecurity (CoVAB), Makerere University, Kampala, Uganda
5Animal and Human Health Research Program, International Livestock Research Institute (ILRI) , Nairobi, Kenya
"}],"DisplayName":"Irene Mbatidde","TimeDisplay":null},{"ContactId":"ebd6d04a-f936-420c-b361-c0e3918e0318","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kayley","LastName":"McCubbin","Position":null,"Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Knowledge gaps in the understanding of antimicrobial resistance in Canada","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Html":null,"PlainText":"Introduction/Objectives: Antimicrobial resistance (AMR) threatens the ability to effectively treat infections in both humans and animals. To address rising concerns regarding to continued development of AMR, and subsequent impacts, three important areas were identified for review, including: (1) treatment optimization, (2) surveillance of antimicrobial use (AMU) and AMR, and (3) prevention of transmission of AMR. Without highlighting current gaps that exist in identified areas, sustained progress in AMR mitigation efforts cannot be made. Current AMR surveillance efforts in Canada are summarized and the need for increasing environmental consideration becomes clear. Discussions regarding addressing described knowledge gaps are separated into four categories: (1) further research, (2) increased capacity/resources, (3) increased prescriber/end- user knowledge, and (4) policy development/enforcement.

Methods: Current limitations in the understanding and control of AMR in Canada are described in a comprehensive review. Where supporting data are lacking, expert opinion was used. Furthermore, requirements to address knowledge gaps are discussed, directing expert panels in identifying concrete next steps.

Results: Using Canada as an example, this review emphasizes the importance and necessity of a One Health approach for AMR research and policy. Specifically, AMU in the human, animals, and environmental sectors cannot be thought of as separate actions, and a One Health approach in AMR understanding and current surveillance efforts is required. Judicious AMU is required across all sectors; however, this must be supported by research into best AMU reduction practices, understanding and supporting behavioural changes, economic considerations, and increasing public knowledge.

Conclusion: Overall, the presented evidence and knowledge gaps underscore the necessity for AMR policy decisions to be considered in a One Health framework, while also calling attention to the current issues that need to be addressed for realistic and meaningful progress to be made.

Keywords: Antimicrobial resistance, One Health, Stewardship, Surveillance","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Title":"Ms.","FirstName":"Kayley","LastName":"McCubbin","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"McCubbin K"},{"PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Title":"Dr.","FirstName":"Michele","LastName":"Anholt","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Anholt M"},{"PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Title":"Ms.","FirstName":"Ellen","LastName":"De Jong","Position":"Phd Candidate","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"De Jong E"},{"PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Title":"Dr.","FirstName":"Tim","LastName":"McAllister","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"McAllister T"},{"PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Title":"Dr.","FirstName":"Simon","LastName":"Otto","Position":"Associate Professor","Affiliations":"4,5","IsPresenting":false,"SortOrder":5,"DisplayName":"Otto S"},{"PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Barkema H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Number":1,"Affiliation":"Department of Production Animal Health, University Of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, University Of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Number":2,"Affiliation":"One Health at UCalgary, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"One Health at UCalgary, University of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Number":3,"Affiliation":"Agriculture and Agri-Food Canada, Lethbridge Research Centre","City":"Lethbridge","State":"AB","Country":"Canada","AffiliationDisplay":"Agriculture and Agri-Food Canada, Lethbridge Research Centre, Lethbridge AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Number":4,"Affiliation":"HEAT-AMR Research Group, School of Public Health, University of Alberta","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"HEAT-AMR Research Group, School of Public Health, University of Alberta, Edmonton AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6492e397-0049-4103-a598-01ade53b29db","Number":5,"Affiliation":"Thematic Area Lead, Healthy Environments, Centre for Healthy Communities, School of Public Health, University of Alberta","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"Thematic Area Lead, Healthy Environments, Centre for Healthy Communities, School of Public Health, University of Alberta, Edmonton AB, Canada"}],"AuthorsHtml":"McCubbin K1,2, Anholt M2, De Jong E1,2, McAllister T3, Otto S4,5, Barkema H1,2","AffiliationsHtml":"
1Department of Production Animal Health, University Of Calgary, Calgary AB, Canada
2One Health at UCalgary, University of Calgary, Calgary AB, Canada
3Agriculture and Agri-Food Canada, Lethbridge Research Centre, Lethbridge AB, Canada
4HEAT-AMR Research Group, School of Public Health, University of Alberta, Edmonton AB, Canada
5Thematic Area Lead, Healthy Environments, Centre for Healthy Communities, School of Public Health, University of Alberta, Edmonton AB, Canada
"}],"DisplayName":"Kayley McCubbin","TimeDisplay":null},{"ContactId":"ba758aa6-453e-42de-8ce2-c835b6af27df","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Elizah","LastName":"McFarland","Position":"Phd Candidate","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1e284a031abc451c913de9bf9d87a597","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The effects of calf management practices on first lactation cow production while accounting for genetic potential ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"691eb95b-8e83-4402-9e57-b3af198eba14","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Html":null,"PlainText":"Objectives: The main objective of this study was to evaluate the potential impact of pre-weaning calf management practices on first lactation cow production while taking animal’s genetic potential into account.
Material and Methods: A cohort study was conducted on 220 calves from eight herds in New Brunswick, Canada. Calves genomic estimated breeding value (GEBV) were estimated. Furthermore, calf management records were collected during the preweaning period. Calves were monitored until their first lactation to collect their production records. Multivariable linear regression models were fitted to milk and fat yields standardized to a 305-day lactation.
Results: For both outcomes, time after birth the calf was first fed colostrum, and calf’s weaning weight had statistically significant impacts on yields. Feeding colostrum during 1.25 – 2 hours of life resulted in higher milk yields (576kg (SE:193kg) and 347kg (SE: 200kg), respectively) and fat yields (18kg (SE: 8kg) and 15kg (SE: 8kg), respectively), compared to earlier (0 -1 hours) and later (2.5+ hours) feeding times. Additionally, treatment with antimicrobials in the preweaning period impacted production outcomes only by a decrease in fat yield in the range of 57-71kg (SE:27kg) when an animal was sick but untreated. GEBV were statistically significant and improved the fit in both models, displaying that genetic potential is critical in the assessment of calf management effects later in life.
Conclusion: When accounting for the calf’s genetic potential (GEBV), pre-weaning calf management practices substantially impact cow milk production and fat yields within the first lactation. This could influence an animal’s productive longevity in the herd and management of preweaning calf practices. Further research on the impact preweaning calf management practices have on production in later lactations and cows’ longevity in the herd is needed.
Key Words: calf management, production, genetic potential, cohort study
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Title":"Miss","FirstName":"Elizah","LastName":"Mcfarland","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mcfarland E"},{"PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Title":"Dr. ","FirstName":"Ibrahim","LastName":"Elsohaby ","Position":null,"Affiliations":"1,4","IsPresenting":false,"SortOrder":2,"DisplayName":"Elsohaby I"},{"PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Title":"Dr.","FirstName":"Henrik","LastName":"Stryhn","Position":"Professor ","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Stryhn H"},{"PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Title":"Dr. ","FirstName":"Christine","LastName":"Baes","Position":"Associate Professor ","Affiliations":"2,3","IsPresenting":false,"SortOrder":4,"DisplayName":"Baes C"},{"PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Title":"Dr. ","FirstName":"Greg","LastName":"Keefe","Position":"Interim President; Dean; Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Keefe G"},{"PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Title":"Dr.","FirstName":"J. T. ","LastName":"McClure","Position":"Professor ","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"McClure J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Number":1,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University Of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University Of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Number":2,"Affiliation":"Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Number":3,"Affiliation":"Institute of Genetics, Vetsuisse Faculty, University of Bern","City":"Bern","State":"Bern","Country":"Switzerland","AffiliationDisplay":"Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7c8d1a0d-fddf-4eac-8a7f-ac3b258d1c72","Number":4,"Affiliation":"Department of Infectious Diseases and Public Health, Jockey Club of Veterinary Medicine and Life Sciences, City University of Hong Kong","City":"Kowloon","State":"Hong Kong ","Country":"People's Republic of China","AffiliationDisplay":"Department of Infectious Diseases and Public Health, Jockey Club of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Hong Kong , People's Republic of China"}],"AuthorsHtml":"Mcfarland E1, Elsohaby I1,4, Stryhn H1, Baes C2,3, Keefe G1, McClure J1","AffiliationsHtml":"
1Department of Health Management, Atlantic Veterinary College, University Of Prince Edward Island, Charlottetown PE, Canada
2Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph ON, Canada
3Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern Bern, Switzerland
4Department of Infectious Diseases and Public Health, Jockey Club of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Hong Kong , People's Republic of China
"}],"DisplayName":"Elizah McFarland","TimeDisplay":null},{"ContactId":"7d109930-18a6-4eb3-a3c0-a794c351bfa2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Abigail","LastName":"McGlennon","Position":"Phd Student","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0cd9221886e742e8aa5885b7f137baf1","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"LinkedIn.com/in/abigail-mcglennon","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"LinkedIn.com/in/abigail-mcglennon","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://LinkedIn.com/in/abigail-mcglennon","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://LinkedIn.com/in/abigail-mcglennon","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Surveillance of equine strangles in the United Kingdom between 2015 and 2019 based on laboratory detection of Streptococcus equi ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"eac038af-97f2-4f07-b33a-8700ae19be4d","Html":null,"PlainText":"Strangles, a highly infectious bacterial disease caused by Streptococcus equi, remains a global problem in horses. Despite impacting equine populations and its ability to spread through international movement of horses, infection with Streptococcus equi is not recognised as a listed disease by the World Organisation for Animal Health. Control of strangles is challenging due to limited surveillance, lack of awareness and/or failure to comply with biosecurity recommendations and pre-movement testing. Improved knowledge of laboratory diagnoses integrated with temporo-spatial analysis would permit the optimisation of biosecurity protocols and help decrease disease incidence.
Objective: Describe epidemiological data gathered from laboratory-confirmed diagnoses of strangles based on the detection of Streptococcus equi across the UK between 1st January 2015 and 31st December 2019.
Materials and Methods: Seven UK laboratories reported strangles diagnoses within the study period based on identifying Streptococcus equi via agent detection assays from field-based practitioner-submitted samples. Associated clinical history and animal signalment were collected where provided, and descriptive analysis undertaken.
Results: Within the study period, 1617 laboratory-confirmed diagnoses from samples submitted by 315 veterinary practices were reported. Of these, 51.6% were from swab samples and 44.0% from guttural pouch lavages. Diagnoses were primarily based on qPCR alone (59.6%), qPCR and culture (35.8%), or culture alone (4.6%). A total of 1791 clinical signs were reported among 713 diagnoses; nasal discharge (31.3%) and pyrexia (20.5%) were most frequently reported. Regions with the highest number of positive diagnoses were North Yorkshire (n=75, 4.6%), Staffordshire (n=71, 4.4%) and West Sussex (Northeast) (n=63, 3.9%).
Conclusions: This study provides insights into clinical features of and veterinary approaches to laboratory diagnosis of strangles in UK horses and details the epidemiology of strangles on a level previously unreported, although limited and/or missing clinical history and signalment on laboratory submission forms restricts the completeness of the data.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"eac038af-97f2-4f07-b33a-8700ae19be4d","Title":"Miss","FirstName":"Abigail","LastName":"McGlennon","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"McGlennon A"},{"PresentationId":"eac038af-97f2-4f07-b33a-8700ae19be4d","Title":"Dr","FirstName":"A. S","LastName":"Waller","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Waller A"},{"PresentationId":"eac038af-97f2-4f07-b33a-8700ae19be4d","Title":"Dr.","FirstName":"Kristien L.","LastName":"Verheyen","Position":"Professor of Veterinary Clinical Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Verheyen K"},{"PresentationId":"eac038af-97f2-4f07-b33a-8700ae19be4d","Title":"Prof","FirstName":"N. S","LastName":"Lewis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Lewis N"},{"PresentationId":"eac038af-97f2-4f07-b33a-8700ae19be4d","Title":"Dr","FirstName":"J.R","LastName":"Newton","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Newton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eac038af-97f2-4f07-b33a-8700ae19be4d","Number":1,"Affiliation":"Department of Pathobiology and Population Sciences, Royal Veterinary College","City":"Hatfield","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Department of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eac038af-97f2-4f07-b33a-8700ae19be4d","Number":2,"Affiliation":"Intervacc","City":"Västertorpsvägen ","State":"Hägersten","Country":"Sweden","AffiliationDisplay":"Intervacc, Västertorpsvägen Hägersten, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eac038af-97f2-4f07-b33a-8700ae19be4d","Number":3,"Affiliation":"Department of Veterinary Medicine, University of Cambridge","City":"Cambridge","State":"Cambridgshire","Country":"United Kingdom","AffiliationDisplay":"Department of Veterinary Medicine, University of Cambridge, Cambridge Cambridgshire, United Kingdom"}],"AuthorsHtml":"McGlennon A1, Waller A2, Verheyen K1, Lewis N1, Newton J3","AffiliationsHtml":"
1Department of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield Hertfordshire, United Kingdom
2Intervacc, Västertorpsvägen Hägersten, Sweden
3Department of Veterinary Medicine, University of Cambridge, Cambridge Cambridgshire, United Kingdom
"},{"Title":"Filling the knowledge gap: the development and success of the Surveillance of Equine Strangles network in the United Kingdom","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a1e1cd1d-6619-4ecf-9d28-05e2eb0547c3","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.E - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ac048a9a-5ec7-4ae1-b058-2e3b43cef204","Html":null,"PlainText":"The Surveillance of Equine Strangles (SES) network, initiated in the UK in 2018, monitors strangles, a bacterial disease of horses caused by Streptococcus equi (S. equi), through laboratory confirmations based on agent detection assays. Improved awareness and knowledge of diagnoses facilitates improved biosecurity, decreasing the prevalence of strangles.
Objective(s) Investigate the occurrence of strangles across the UK through a veterinary diagnostic laboratory network and conduct molecular surveillance through whole genome sequencing (WGS) of bacterial isolates, facilitating phylogenetic analysis and presumptive outbreak linking.
Materials and Methods An online reporting system was developed to enable laboratories to report positive diagnoses based on detection of S. equi by culture and/or molecular assays on practitioner-submitted samples. Epidemiological data associated with samples are reported concurrently and, where possible, bacterial isolates undergo WGS. Population structure, based on core-genome alleles, is inferred using Bayesian Analysis of Population Structure (BAPS).
Results Between 01/01/2018 and 31/12/2021, 1103 laboratory-confirmed strangles diagnoses were made from samples submitted by 290 veterinary practices across all UK countries, with 58% (n=97/167) of UK regions affected. Sixty-one percent (n=676) of diagnoses had reasons for sampling provided, including ‘clinically ill’ (35%), ‘post-infection screening’ (24%), ‘strangles specifically suspected’ (11%) and ‘post-seropositive ELISA’ (9%). WGS was completed for 170 isolates recovered in 2018 and 2019, with 164 isolates belonging to BAPS-2, the predominant genetic lineage in Europe, and 6 isolates belonging to BAPS-5, a more historic European genetic lineage. Phylogenetic analyses also revealed presumptive, previously unknown links between UK strangles outbreaks.
Conclusion SES has established a laboratory reporting network for strangles in UK horses. Access to collated diagnostic and epidemiological data has greatly improved awareness of key features of strangles in the UK. WGS applied to recovered S. equi isolates is also providing additional novel insights into the evolution of S. equi and transmission pathways between horses.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ac048a9a-5ec7-4ae1-b058-2e3b43cef204","Title":"Miss","FirstName":"Abigail","LastName":"Mcglennon","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mcglennon A"},{"PresentationId":"ac048a9a-5ec7-4ae1-b058-2e3b43cef204","Title":"Dr","FirstName":"A. S","LastName":"Waller","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Waller A"},{"PresentationId":"ac048a9a-5ec7-4ae1-b058-2e3b43cef204","Title":"Prof","FirstName":"K. L","LastName":"Verheyen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Verheyen K"},{"PresentationId":"ac048a9a-5ec7-4ae1-b058-2e3b43cef204","Title":"Prof","FirstName":"N. S","LastName":"Lewis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Lewis N"},{"PresentationId":"ac048a9a-5ec7-4ae1-b058-2e3b43cef204","Title":"Dr","FirstName":"J.R","LastName":"Newton","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Newton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ac048a9a-5ec7-4ae1-b058-2e3b43cef204","Number":1,"Affiliation":"Department of Pathobiology and Population Sciences, Royal Veterinary College","City":"Hatfield","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Department of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ac048a9a-5ec7-4ae1-b058-2e3b43cef204","Number":2,"Affiliation":"Intervacc","City":"Västertorpsvägen","State":"Hägersten","Country":"Sweden","AffiliationDisplay":"Intervacc, Västertorpsvägen Hägersten, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ac048a9a-5ec7-4ae1-b058-2e3b43cef204","Number":3,"Affiliation":"Department of Veterinary Medicine, University of Cambridge","City":"Cambridge","State":"Cambridgshire","Country":"United Kingdom","AffiliationDisplay":"Department of Veterinary Medicine, University of Cambridge, Cambridge Cambridgshire, United Kingdom"}],"AuthorsHtml":"Mcglennon A1, Waller A2, Verheyen K1, Lewis N1, Newton J3","AffiliationsHtml":"
1Department of Pathobiology and Population Sciences, Royal Veterinary College, Hatfield Hertfordshire, United Kingdom
2Intervacc, Västertorpsvägen Hägersten, Sweden
3Department of Veterinary Medicine, University of Cambridge, Cambridge Cambridgshire, United Kingdom
"}],"DisplayName":"Abigail McGlennon","TimeDisplay":null},{"ContactId":"47d9c66c-9f87-420f-89a9-34e3a1788bd5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"K. Marie","LastName":"McIntyre","Position":"Senior Analyst","Organization":"Global Burden of Animal Diseases programme, University of Liverpool","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A global review of approaches to animal health priority setting and resource allocation, 2000-2021: a structured, systematic scoping review","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Html":null,"PlainText":"Objective
The objective of this scoping review was to identify and describe methods that have been used to prioritise animal diseases to allocate resources for interventions associated with disease control, surveillance or research.
Materials and methods
Three electronic databases (Medline/PubMed, Embase and CAB Abstracts) were searched using syntax with inclusion and exclusion criteria. The search identified 6395 articles after de-duplication. Upon manual searching, an additional 64 articles were added. A total of 6460 articles were finally imported to an online systematic review management software (sysrev.com) for screening. Based on inclusion and exclusion criteria, 532 articles passed the first screening and after the second round of screening, 336 were recommended for a full review.
Results
The main methods of disease prioritisation identified were based on economic analysis, multi-criteria evaluation, risk assessment (qualitative, quantitative or semi-quantitative), simple ranking, spatial risk mapping and simulation modelling. Disease prioritisation was performed for the following reasons: 1) disease control, prevention or eradication strategies, 2) identification priority of diseases to inform general organisational strategy, 3) identification of high-risk areas or populations, 4) assessment of the risk of disease introduction or occurrence, 5) disease surveillance and 6) research priority setting. With regard to the geographical focus of the 336 articles prioritisation studies and assessments screened 49% had a national focus, 13% were local, 12% were regional, 7% were sub-national and 4% were global; 16% had no particular geographic focus.
Conclusion
This review describes the different approaches available for prioritising animal health investments and reflects on the pros and cons of different approaches. It also considers approaches used in other fields such as environment and human health and reflects on their suitability for animal health decision making.
Keywords: Multicriteria priority setting, animal health economics, resource allocation, animal health investment, decision making
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Title":"Dr.","FirstName":"Kebede","LastName":"Amenu","Position":"Researcher","Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Amenu K"},{"PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Title":"Ms.","FirstName":"K. Marie","LastName":"McIntyre","Position":"Senior Analyst","Affiliations":"3","IsPresenting":true,"SortOrder":2,"DisplayName":"McIntyre K"},{"PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Title":"Dr.","FirstName":"Nebyou","LastName":"Moje","Position":"Assistant Professor","Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Moje N"},{"PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Title":"Dr.","FirstName":"Theo","LastName":"Knight-Jones","Position":"Principal scientist","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Knight-Jones T"},{"PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Rushton J"},{"PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":"5,6","IsPresenting":false,"SortOrder":6,"DisplayName":"Randolph D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Number":1,"Affiliation":"College of Veterinary Medicine and Agriculture, Addis Ababa University","City":"Bishoftu","State":null,"Country":"Ethiopia","AffiliationDisplay":"College of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Number":2,"Affiliation":"International Livestock Research Institute (ILRI)","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Number":3,"Affiliation":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool","City":"Liverpool ","State":null,"Country":"United Kingdom ","AffiliationDisplay":"Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool , United Kingdom "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Number":4,"Affiliation":"Faculty of Veterinary Medicine, Hawassa University","City":"Hawassa","State":null,"Country":"Ethiopia","AffiliationDisplay":"Faculty of Veterinary Medicine, Hawassa University, Hawassa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Number":5,"Affiliation":"Natural Resources Institute, University of Greenwich","City":"Kent","State":null,"Country":"United Kingdom","AffiliationDisplay":"Natural Resources Institute, University of Greenwich, Kent, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"deb8140f-0c22-4278-af3c-a49f66f72f21","Number":6,"Affiliation":"International Livestock Research Institute (ILRI)","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute (ILRI), Nairobi, Kenya"}],"AuthorsHtml":"Amenu K1,2, McIntyre K3, Moje N4, Knight-Jones T2, Rushton J3, Randolph D5,6","AffiliationsHtml":"
1College of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia
2International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
3Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool , United Kingdom
4Faculty of Veterinary Medicine, Hawassa University, Hawassa, Ethiopia
5Natural Resources Institute, University of Greenwich, Kent, United Kingdom
6International Livestock Research Institute (ILRI), Nairobi, Kenya
"},{"Title":"FAIR evidence assessment and variable collation for the Global Burden of Animal Diseases programme: development of a future-proofed pipeline process ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7346e8bb-cb44-4226-806d-b3ebd0891451","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Html":null,"PlainText":"Objectives: The Global Burden of Animal Diseases (GBADs) programme seeks to “measure to improve” animal health at a local, national and global-levels, providing evidence-based investment plans for veterinary services and supporting high quality evaluation of existing animal health investments. GBADs’ long-term aim is to develop a ‘living’ review process. Fundamental to this is structured and consistent evidence assessment and variable collation processes from published research literature. This presentation describes development of a FAIR (guiding principles) gold standard evidence assessment and variable collation pipeline for GBADs, with architecture aiming to: develop search terms and strategies to identify and thereafter synthesise the most appropriate article evidence; best understand and minimise review biases; be appropriate so that additional eligibility criteria can be added to reviews; and minimise future workloads of GBADs collaborators.

Materials and methods: An ‘Inception table’ was developed for use by GBADs collaborators, adapted from the PRISMA 2020 statement/checklist; this is used to prepare search strategies for reviews, including selectively and iteratively improving search and Medical Subject Headings (MeSH) terms identified using relevant peer-reviewed and grey literature publications, and snow-balling mechanisms e.g. connectedpapers.com and the Medline ‘similar articles’ function. Following the implementation of search strategies in multiple literature databases and deduplication of results, the sifting of captured articles and extraction of data is undertaken using theSysrev.com software to develop a structured scoping review process for GBADs.

Results: Development of GBADs reviews will be demonstrated using examples, including describing the results of data-mining algorithms used within Sysrev to re-rank articles for reviewing, based upon accepting/rejecting as a result of ‘labels’ describing their contents.

Conclusion: GBADs uses a systematic, structured evidence reviewing process. Improvements could be made to: search terms associated with reviews e.g. by using topic mining; refining label criteria including/excluding articles; and data mining algorithms to re-prioritise articles during sifting.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":"Dr.","FirstName":"K","LastName":"Marie McIntyre","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Marie McIntyre K"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":null,"FirstName":"Kebede ","LastName":"Amenu","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Amenu K"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":"Dr.","FirstName":"Gemma ","LastName":"Chaters","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Chaters G"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":null,"FirstName":"Carlotta ","LastName":"Di 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A"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":"Dr.","FirstName":"Stephen ","LastName":"Kwok","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Kwok S"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":null,"FirstName":"Andrew ","LastName":"Larkins","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":10,"DisplayName":"Larkins A"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":"Dr.","FirstName":"Yin ","LastName":"Li","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":11,"DisplayName":"Li Y"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":"Dr.","FirstName":"Vittoria ","LastName":"Lutje","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":12,"DisplayName":"Lutje V"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":null,"FirstName":"Violeta ","LastName":"Muñoz-Gómez","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":13,"DisplayName":"Muñoz-Gómez V"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":null,"FirstName":"Nebyou ","LastName":"Moje","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":14,"DisplayName":"Moje N"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":"Dr. ","FirstName":"Roberta ","LastName":"Morales","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":15,"DisplayName":"Morales R"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":"Dr.","FirstName":"Grace ","LastName":"Patterson","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":16,"DisplayName":"Patterson G"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":"Dr. ","FirstName":"Philip ","LastName":"Rasmussen","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":17,"DisplayName":"Rasmussen 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N"},{"PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":22,"DisplayName":"Rushton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e7b6e7d6-98d2-4a99-8460-a08f746227ae","Number":1,"Affiliation":"Global Burden of Animal Diseases programme, University of Liverpool","City":"Liverpool","State":"Merseyside","Country":"United Kingdom","AffiliationDisplay":"Global Burden of Animal Diseases programme, University of Liverpool, Liverpool Merseyside, United Kingdom"}],"AuthorsHtml":"Marie McIntyre K1, Amenu K, Chaters G, Di Bari C, Gilbert W, Jeannin M, Kallon E, Kappes A, Kwok S, Larkins A, Li Y, Lutje V, Muñoz-Gómez V, Moje N, Morales R, Patterson G, Rasmussen P, Raymond K, Stacey D, Temesgen W, Venkateswaran N, Rushton J","AffiliationsHtml":"
1Global Burden of Animal Diseases programme, University of Liverpool, Liverpool Merseyside, United Kingdom
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The Global Burden for Animal Diseases (GBADs) program was created to integrate public and private datasets into a systematic and transparent process of measuring the economic, social, and environmental burden of animal diseases in a way that can be applied by decision and policymakers. As part of the design and build of the knowledge engine that will provide the data platform for GBADs, a “horizon scanning” initiative is being undertaken to record and synthesize best practices and potential roadblocks and solutions related to the planning, development, and maintenance of aggregated data projects - a common challenge for One Health initiatives.

Materials and Methods:
The horizon scanning initiative will explore several successful existing models of large-scale data aggregation and sharing platforms. Following detailed interviews and questionnaires with these organizations, a combination of thematic analysis and qualitative analysis will be used to glean insights into the methods, tools, and design thinking implemented by programs toward a successful platform.

Results:
Results, projected to be available by July 2022, will describe issues with organizational structure, data sharing and ingestion, data visualization and reporting, and data storage and security. This narrative will describe critical features for success, common obstacles, and how to move from a short-term project to a stably funded, self-perpetuating tool or program.

Conclusion:
The results and conclusions of this work will aid in the successful development and launching of the GBADs knowledge engine, which will in turn enable the program to support evidence-based and equitable economic decisions that improve resource allocation and impact measurement of animal diseases across the world. Results will advance the common knowledge on methods that may be reported infrequently in the literature and increase access to such knowledge to benefit similar current and future One Health initiatives.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6262ccaf-a88f-4073-b388-03b514334f19","Title":"Dr.","FirstName":"David","LastName":"Mciver","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mciver D"},{"PresentationId":"6262ccaf-a88f-4073-b388-03b514334f19","Title":"Dr.","FirstName":"Grace","LastName":"Patterson","Position":"Postdoctoral Research Associate","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Patterson G"},{"PresentationId":"6262ccaf-a88f-4073-b388-03b514334f19","Title":"Dr.","FirstName":"Deborah","LastName":"Stacey","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Stacey D"},{"PresentationId":"6262ccaf-a88f-4073-b388-03b514334f19","Title":"Dr.","FirstName":"Theresa","LastName":"Bernardo","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Bernardo T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6262ccaf-a88f-4073-b388-03b514334f19","Number":1,"Affiliation":"Institute for Global Health Sciences, University Of California, San Francisco","City":"San Fransisco","State":"California","Country":"United States","AffiliationDisplay":"Institute for Global Health Sciences, University Of California, San Francisco, San Fransisco California, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6262ccaf-a88f-4073-b388-03b514334f19","Number":2,"Affiliation":"Department of Population Medicine, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6262ccaf-a88f-4073-b388-03b514334f19","Number":3,"Affiliation":"School of Computer Science, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"School of Computer Science, University of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Mciver D1, Patterson G2, Stacey D2, Bernardo T3","AffiliationsHtml":"
1Institute for Global Health Sciences, University Of California, San Francisco, San Fransisco California, United States
2Department of Population Medicine, University of Guelph, Guelph Ontario, Canada
3School of Computer Science, University of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"David McIver","TimeDisplay":null},{"ContactId":"dc9a26c6-8e21-4f5e-b3cd-ee3fcfc3b69d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kirsten","LastName":"McMillan","Position":"Data Manager","Organization":"Dogs Trust","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b0460500a90a49dcbde58a785b69e14d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Longevity of Companion Dog Breeds: Those at Risk from Early Death","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"00fbcd54-1337-4964-92aa-173af53dc07a","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"5f79f6e4-5844-41df-8874-4b8a3e9db678","Html":null,"PlainText":"Objective(s)
Variability between dog breeds extends not only to morphology and aspects of behaviour, but also to longevity. An array of heritable conditions have established within purebred dogs, affecting quality of life and longevity. Nevertheless, little research has (1) assessed life expectancy variation between breeds, and (2) investigated phylogenetic characterisation of longevity.

Materials and methods
Kaplan-Meier survival curves, pairwise log-rank tests and multivariable Cox proportional hazards regression models were applied to a dataset of 4,258,704 dogs, including 284,744 deceased, to present variation in longevity estimates between: parental lineage (purebred=1, known cross=2, mixed≥ 2), breed (n=155), body size and cephalic index. Heterogeneity between survival estimates were partitioned amongst phylogenetic clades to identify breed groupings most at risk from early death.

Results
Longevity varied between breeds (p<0.001): those most at risk from early death included Presa Canario (x̃=7.7, HR 3.0), Cane Corso (x̃=8.1, HR 2.4), Mastiff (x̃=9.0, HR 2.3), Affenpinscher (x̃=9.3, HR 1.7) and Bulldog (x̃=9.8, HR 1.8). Whilst purebred and mixed individuals exhibited similar estimates at 12.7 (95% CI 12.6-12.7) and 12.5 (95% CI 12.4-12.6) years respectively, known crosses displayed an accelerated time to death at 10.1 years (95% CI 10.0-10.3, HR 1.65, p<0.001). Known crosses most at risk from early death included Bullmastiff x Dogue de Bordeaux (x̃=7.0, HR 5.1), Bulldog x Staffordshire Bull Terrier (x̃=8.2, HR 3.7) and Great Dane x Mastiff (x̃=8.5, HR 3.4). Longevity varied amongst cephalic index (p<0.001) with accelerated time to death for brachycephalic breeds (x̃=11.2, HR 1.4). An interaction between cephalic index and body size was evident: with increased disparity observed within medium sized dogs of brachy and non-brachy status (p<0.001). Strong phylogenetic signal was evident, highlighting sister clades with lower survival probability due to ancestral ties (p<0.001).

Conclusions
This information scientifically informs the canine pedigree health debate. Further research is needed to incorporate reason for death to better understand lineage differences.

Keywords
Canine, Survival Analysis, Phylogeny, Cephalic Index, Lineage
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5f79f6e4-5844-41df-8874-4b8a3e9db678","Title":"Dr.","FirstName":"Kirsten","LastName":"McMillan","Position":"Data Manager","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"McMillan K"},{"PresentationId":"5f79f6e4-5844-41df-8874-4b8a3e9db678","Title":"Dr","FirstName":"Jon","LastName":"Bielby","Position":"Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Bielby J"},{"PresentationId":"5f79f6e4-5844-41df-8874-4b8a3e9db678","Title":"Dr","FirstName":"Melissa M.","LastName":"Upjohn","Position":"Head of Research","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Upjohn M"},{"PresentationId":"5f79f6e4-5844-41df-8874-4b8a3e9db678","Title":"Dr","FirstName":"Rachel","LastName":"Casey","Position":"Director of Canine Behaviour and Research","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Casey R"},{"PresentationId":"5f79f6e4-5844-41df-8874-4b8a3e9db678","Title":"Dr","FirstName":"Robert M.","LastName":"Christley","Position":"Deputy Head of Research","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Christley R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5f79f6e4-5844-41df-8874-4b8a3e9db678","Number":1,"Affiliation":"Dogs Trust","City":"London","State":"England","Country":"United Kingdom","AffiliationDisplay":"Dogs Trust, London England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5f79f6e4-5844-41df-8874-4b8a3e9db678","Number":2,"Affiliation":"Liverpool John Moores University","City":"Liverpool","State":"England","Country":"United Kingdom","AffiliationDisplay":"Liverpool John Moores University, Liverpool England, United Kingdom"}],"AuthorsHtml":"McMillan K1, Bielby J2, Upjohn M1, Casey R1, Christley R1","AffiliationsHtml":"
1Dogs Trust, London England, United Kingdom
2Liverpool John Moores University, Liverpool England, United Kingdom
"}],"DisplayName":"Kirsten McMillan","TimeDisplay":null},{"ContactId":"d7089e4d-3ca7-4d61-a239-224bda77efab","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Carrie","LastName":"McMullen","Position":"Phd Candidate","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a73ad72eaff44528ac113d8f9dbe8b0f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Identifying the competencies required of climate change professionals to enrich One Health education","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"ed44d921-18b5-415b-996b-9f60fc06a350","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.A - Capacity building in national veterinary service/ Climate Change Impacts and Policy","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"4691eeaa-73db-4ff1-8152-52073621bdc1","Html":null,"PlainText":"Objective: The objective of this research is to identify One Health and climate change competencies that will be used to strengthen One Health university programs across Canada, including veterinary education.

Materials and methods: Focus groups were organized with climate change professionals working across Canada to discuss the competencies (i.e., knowledge, skills, and attitudes) that have helped them be successful throughout their careers and to move climate change mitigation or adaptation into practice. Previously developed One Health competencies were shared with participants for feedback regarding whether competencies should be added or removed based on their experience. The focus group sessions were audio- and video-recorded to facilitate transcription and thematic analysis.

Results: Four independent focus group sessions with a total of 21 climate change professionals were conducted, with open-ended and probing questions to facilitate discussion. Participants came from a variety of governmental and non-governmental organizations from across Canada and were organized into groups based on location of employment: Ontario, Quebec, Atlantic Canada, and Western Canada. Preliminary thematic analysis shows general agreement that the proposed One Health core competencies, including holistic understanding of health, leadership and collaboration, problem solving and critical skills, knowledge mobilization and communication, and professional and ethical behaviour, are also valuable for fighting climate change. Suggestions for added competencies include making climate issues relatable, ability to turn knowledge into action, and being willing to learn from our mistakes to do better.

Conclusion: By identifying the similarities and differences between One Health and climate change competencies we can enrich One Health programs to better prepare graduates to address climate change and its associated health challenges.

Key words: One Health, curriculum development, competencies, climate change, education","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4691eeaa-73db-4ff1-8152-52073621bdc1","Title":"Miss","FirstName":"Carrie","LastName":"McMullen","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"McMullen C"},{"PresentationId":"4691eeaa-73db-4ff1-8152-52073621bdc1","Title":"Dr.","FirstName":"Katie","LastName":"Clow","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Clow K"},{"PresentationId":"4691eeaa-73db-4ff1-8152-52073621bdc1","Title":"Dr.","FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Assistant Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Aenishaenslin C"},{"PresentationId":"4691eeaa-73db-4ff1-8152-52073621bdc1","Title":"Dr.","FirstName":"Dale","LastName":"Lackeyram","Position":"Associate Director","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Lackeyram D"},{"PresentationId":"4691eeaa-73db-4ff1-8152-52073621bdc1","Title":"Dr.","FirstName":"Jane","LastName":"Parmley","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Parmley J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4691eeaa-73db-4ff1-8152-52073621bdc1","Number":1,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University Of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University Of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4691eeaa-73db-4ff1-8152-52073621bdc1","Number":2,"Affiliation":"Department of Pathology and Microbiology, College of Veterinary Medicine, University of Montreal","City":"Montreal","State":"Quebec","Country":"Canada","AffiliationDisplay":"Department of Pathology and Microbiology, College of Veterinary Medicine, University of Montreal, Montreal Quebec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4691eeaa-73db-4ff1-8152-52073621bdc1","Number":3,"Affiliation":"Office of Teaching and Learning, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Office of Teaching and Learning, University of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"McMullen C1, Clow K1, Aenishaenslin C2, Lackeyram D3, Parmley J1","AffiliationsHtml":"
1Department of Population Medicine, Ontario Veterinary College, University Of Guelph, Guelph Ontario, Canada
2Department of Pathology and Microbiology, College of Veterinary Medicine, University of Montreal, Montreal Quebec, Canada
3Office of Teaching and Learning, University of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Carrie McMullen","TimeDisplay":null},{"ContactId":"e962a974-4268-4880-8c94-1ef1b38b32b1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sarah","LastName":"Mediouni","Position":"PhD candidate/ Research assistant","Organization":"University of Montreal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluation frameworks applicable to One Health surveillance systems for antimicrobial resistance and infectious diseases","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Html":null,"PlainText":"Background and objective: Antimicrobial resistance (AMR) is already a leading cause of morbidity and mortality worldwide, and the burden is expected to increase. Integrated surveillance has been highlighted as one of the key components of effective control strategies. The objective of this study was to review evaluation tools and frameworks applicable to integrated surveillance systems for AMR and infectious diseases and to describe their use.

Material and methods: A systematic review was conducted following the PRISMA guidelines. Eligible articles either presented an evaluation tool or framework for integrated surveillance systems (methodological papers) or reported results of an evaluation (case studies). Information about the scope and type of evaluation, evaluation attributes (e.g. effectiveness, organization, value), level of One Health integration, and the main results of evaluation if relevant, were extracted and analyzed.

Results: Of 2194 articles identified through the literature search, 17 studies were eligible for data extraction: 9 presented a tool or framework of evaluation and 8 reported evaluation results. Three main types of evaluation were identified, namely theoretical, process and impact evaluation. Both methodological and case study papers predominantly assessed organizational and operational attributes and only one tool encompassed the three types of evaluation. Although costs and/or benefits were discussed in some studies, only one conducted an economic analysis. Most papers discussed infectious disease surveillance; AMR was the target of only one.

Conclusion: Most evaluation frameworks do not account for the complexity of integrated surveillance systems. The lack of common metrics and indicators across sectors was highlighted as a gap especially in studies evaluating the impacts of integrated surveillance. This calls for the use and validation of more appropriate methodology for the evaluation of integrated surveillance systems.

Keywords: One health, integrated surveillance, evaluation, methods, systematic review
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Title":"Ms.","FirstName":"Sarah","LastName":"Mediouni","Position":"PhD candidate/ Research assistant","Affiliations":"1,3,5","IsPresenting":true,"SortOrder":1,"DisplayName":"Mediouni S"},{"PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Title":"Ms","FirstName":"Claire","LastName":"Ndione","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ndione C"},{"PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Title":"Pr","FirstName":"Thomas","LastName":"Poder","Position":null,"Affiliations":"2,4","IsPresenting":false,"SortOrder":3,"DisplayName":"Poder T"},{"PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Title":"Dr","FirstName":"Elizabeth Jane","LastName":"Parmley","Position":"Associate Professor","Affiliations":"6","IsPresenting":false,"SortOrder":4,"DisplayName":"Parmley E"},{"PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Title":"Mx.","FirstName":"Cécile","LastName":"Aenishaenslin","Position":"Professor","Affiliations":"1,2,3,5","IsPresenting":false,"SortOrder":5,"DisplayName":"Aenishaenslin C"},{"PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Title":"Ms.","FirstName":"Hélène","LastName":"Carabin","Position":"Full Professor","Affiliations":"1,2,3,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Carabin H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Number":1,"Affiliation":"Faculty of veterinary medecine - University of Montreal","City":"Montreal","State":"Quebec","Country":"Canada","AffiliationDisplay":"Faculty of veterinary medecine - University of Montreal, Montreal Quebec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Number":2,"Affiliation":"Public health school - University of Montreal","City":"Montreal","State":"Quebec","Country":"Canada","AffiliationDisplay":"Public health school - University of Montreal, Montreal Quebec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Number":3,"Affiliation":"Research group on epidemiology of zoonoses and public health","City":"Saint Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Research group on epidemiology of zoonoses and public health, Saint Hyacinthe Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Number":4,"Affiliation":"Research center of the university institute in mental health of Montreal","City":"Montreal","State":"Quebec","Country":"Canada","AffiliationDisplay":"Research center of the university institute in mental health of Montreal, Montreal Quebec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Number":5,"Affiliation":"Centre for Public Health Research (CReSP)","City":"Montreal","State":"Quebec","Country":"Canada","AffiliationDisplay":"Centre for Public Health Research (CReSP), Montreal Quebec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8e1154e4-834a-4533-bbdc-7e2d2144ce01","Number":6,"Affiliation":"University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"University of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Mediouni S1,3,5, Ndione C2, Poder T2,4, Parmley E6, Aenishaenslin C1,2,3,5, Carabin H1,2,3,5","AffiliationsHtml":"
1Faculty of veterinary medecine - University of Montreal, Montreal Quebec, Canada
2Public health school - University of Montreal, Montreal Quebec, Canada
3Research group on epidemiology of zoonoses and public health, Saint Hyacinthe Québec, Canada
4Research center of the university institute in mental health of Montreal, Montreal Quebec, Canada
5Centre for Public Health Research (CReSP), Montreal Quebec, Canada
6University of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Sarah Mediouni","TimeDisplay":null},{"ContactId":"8d9f29d7-6b96-42cf-80b3-9153dcd785ca","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Miranda","LastName":"Medrano","Position":"Phd Student","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0c1343cbd5b0485bab3d659f7be246af","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Characterizing United States boar stud biosecurity practices to assess risk of African swine fever virus entry and transmission pathways","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7ef23fe7-0a8c-4a54-afbd-b854c4e18dee","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Html":null,"PlainText":"Objective
The Secure Food Systems (SFS) team at the University of Minnesota (UMN) is conducting a proactive risk assessment (RA) that systematically evaluates the potential risk of liquid, cooled semen movements from an infected but undetected boar stud in a control area during an African swine fever (ASF) outbreak, since information regarding this route of transmission is scarce.

Materials and Methods
A working group (WG) of boar stud subject matter experts (SMEs), regulatory officials, and academicians was convened to guide the RA. Ten potential routes of African swine fever virus (ASFV) entry into a US boar stud were evaluated. Scientific literature regarding those pathways was reviewed, collated, and presented by the UMN SFS team to the WG, who provided information back to the UMN SFS team regarding stud characteristics, existing biosecurity practices, and industry standards. The information was collected in regularly scheduled meetings and via surveys. For each pathway assessed, the current boar stud biosecurity practices were then evaluated for their ASFV introduction potential, and additional targeted biosecurity practices were developed by the WG to further decrease ASFV introduction likelihood. Finally, the likelihood ratings of ASFV introduction via the assessed pathways were estimated qualitatively based on the targeted mitigations by the WG and enhanced biosecurity requirements (EBRs) per the Secure Pork Supply Plan (SPS) that may be implemented when permitted semen movements occur during an ASF outbreak.

Results
Assuming that both targeted biosecurity and EBRs are in place during an ASF outbreak, the estimated tentative likelihood ratings for each of the ten ASFV entry pathways varied from negligible to low and low to moderate.

Conclusion
The US boar stud population can reduce their risk of ASFV introduction by implementing more enhanced and targeted biosecurity practices.

Keywords
African Swine Fever, swine, boar stud, risk pathways, biosecurity ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":"Dr.","FirstName":"Miranda","LastName":"Medrano","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Medrano M"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":"Dr.","FirstName":"Marie","LastName":"Culhane","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Culhane M"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":"Dr.","FirstName":"Catherine","LastName":"Alexander","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Alexander C"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":null,"FirstName":"Michelle","LastName":"Leonard","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Leonard M"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":null,"FirstName":"Kaitlyn","LastName":"St. Charles","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"St. Charles K"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":"Dr.","FirstName":"Timothy ","LastName":"Goldsmith","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Goldsmith T"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":"Dr.","FirstName":"Amos","LastName":"Ssematimba","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Ssematimba A"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":null,"FirstName":"Peter","LastName":"Bonney","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Bonney P"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":"Dr.","FirstName":"Sasidhar","LastName":"Malladi","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Malladi S"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":"Dr.","FirstName":"Benjamin","LastName":"Blair","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":10,"DisplayName":"Blair B"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":"Dr.","FirstName":"Carol","LastName":"Cardona","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":11,"DisplayName":"Cardona C"},{"PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Title":"Dr. ","FirstName":"Cesar","LastName":"Corzo","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":12,"DisplayName":"Corzo C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1b75e5bb-4ffd-40cf-9b55-d68fb5350047","Number":1,"Affiliation":"College of Veterinary Medicine, University of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine, University of Minnesota, St. Paul MN, USA"}],"AuthorsHtml":"Medrano M1, Culhane M, Alexander C, Leonard M, St. Charles K, Goldsmith T, Ssematimba A, Bonney P, Malladi S, Blair B, Cardona C, Corzo C","AffiliationsHtml":"
1College of Veterinary Medicine, University of Minnesota, St. Paul MN, USA
"}],"DisplayName":"Miranda Medrano","TimeDisplay":null},{"ContactId":"1020e428-6205-44bb-a3d2-ffcb6604c0f1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marina","LastName":"Meester","Position":"Phd Candidate","Organization":"Utrecht University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a484ad9c23d342239061933d3ffa1774","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Biosecurity practices to reduce risk of hepatitis E virus in European pig farms","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a5c9f062-dd3a-4ee2-868e-bf1fbfd97721","Html":null,"PlainText":"Keywords: HEV; case-control study; EU; biosecurity
1.\tObjective: Hepatitis E virus (HEV) can cause liver inflammation in humans, and pigs are presumed the most important source of human infections. Knowledge on how to control HEV in pigs is needed. We aim to identify implementable biosecurity measures that aid control or reduction in prevalence of HEV on commercial European pig farms.
2.\tM&M: This study forms part of the BIOPIGEE project “Biosecurity practices for pig farming across Europe”, funded by the One Health European Joint Programme (OHEJP). Nine European countries participated and recruited commercial-sized breeder, farrow-to-finish and specialist finisher farms. A questionnaire with 69 questions about internal and external biosecurity practices was conducted with each farmer by the regular veterinarian or a researcher. To determine the HEV status of the farm, 20 pooled fecal samples containing 10 pinches of feces were collected from sows, gilts and / or finishers. One country used historical surveillance data to provide data on the occurrence of HEV in the pig farms. Multivariate logistic regression is performed to identify effective biosecurity measures that are associated with low HEV risk.
3.\tResults: In total, 231 farms (median 30, range 3-47 per country), were included in the study, consisting of 117 (50.6%) farrow-to-finish, 40 (17.3%) breeding, and 74 (32.0%) finisher farms. On average, 15.5% of samples was HEV positive, 102 farms had zero HEV positive samples. The cut-off of HEV status was set at 25%, resulting in 161 farms with a low risk and 70 with high risk status. Results of the regression analysis will be presented at the conference.
4.\tConclusion: HEV is widely distributed across European pig farms. This study will provide a better understanding of how to control the virus in commercial farms.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a5c9f062-dd3a-4ee2-868e-bf1fbfd97721","Title":"Ms.","FirstName":"Marina","LastName":"Meester","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Meester M"},{"PresentationId":"a5c9f062-dd3a-4ee2-868e-bf1fbfd97721","Title":"Dr.","FirstName":"T.J.","LastName":"Tobias","Position":"Assistant professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Tobias T"},{"PresentationId":"a5c9f062-dd3a-4ee2-868e-bf1fbfd97721","Title":"Professor","FirstName":"Wim","LastName":"van der Poel","Position":"Senior Scientist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"van der Poel W"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a5c9f062-dd3a-4ee2-868e-bf1fbfd97721","Number":1,"Affiliation":"Utrecht University, Faculty of Veterinary Medicine","City":"Utrecht","State":"Utrecht","Country":"Netherlands","AffiliationDisplay":"Utrecht University, Faculty of Veterinary Medicine, Utrecht Utrecht, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a5c9f062-dd3a-4ee2-868e-bf1fbfd97721","Number":2,"Affiliation":"Wageningen Bioveterinary Research","City":"Lelystad","State":"Flevoland","Country":"Netherlands","AffiliationDisplay":"Wageningen Bioveterinary Research, Lelystad Flevoland, Netherlands"}],"AuthorsHtml":"Meester M1, Tobias T1, van der Poel W2","AffiliationsHtml":"
1Utrecht University, Faculty of Veterinary Medicine, Utrecht Utrecht, Netherlands
2Wageningen Bioveterinary Research, Lelystad Flevoland, Netherlands
"},{"Title":"Sensitivity and specificity of pen-level sampling methods for hepatitis E virus detection in fattening pigs","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fd4427d9-f8ef-4590-a58b-25f75a26cfc4","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"46e71ee6-2b32-40f9-8554-18cd99f0fcdd","Html":null,"PlainText":"Keywords: zoonosis; BLCA; sample types
1.\tObjective: Determine the optimal sampling method for detecting HEV shedding in fattening pigs on pen-level.
2.\tM&M: Four ages of fattening pigs (4, 6, 8, 15 weeks after the start of fattening phase), from one farm, were included in the study. Seven pens per age were sampled by four methods: Rectal swabs (RS) were taken from all individual pigs per pen, and per pen five fresh fecal droppings (FD) were swabbed and pooled, one bootsock (BS) was collected and saliva (S) was collected by chewing ropes. The RS were pooled per pen (P). All pooled samples and individual RS were tested by RT-PCR for HEV. The sensitivity and specificity of pen-level samples were estimated by Bayesian latent class analysis (BLCA) with four tests (FD, BS, S, P) and the four ages as populations.
3.\tResults: Based on RS results 19/28 pens contained at least one HEV shedding pig. Six and 8 weeks old fatteners had a pen-level prevalence between 88-100%. RS of the pigs of 15 weeks fattening (one week before slaughter) were all HEV negative. The sensitivity of the pooled tests was between 94-95% according to BLCA, whereas the specificity differed amongst them. Specificity of P and FD were highest (93 and 86% resp.). The BS and S had a lower specificity of 22% and 71%. Including conditional dependence between P and FD, and BS and FD gave non-significant posterior covariance estimates.
4.\tConclusion: BS and S samples return a lower specificity than pooled fecal droppings, which may be explained by HEV positive old fecal remainders in pens with pigs that have shed before. Fresh fecal droppings sampling for HEV detection in pens with fattening pigs is an animal-friendly and time-saving sampling method with a comparable sensitivity and specificity to individual rectal swabs. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"46e71ee6-2b32-40f9-8554-18cd99f0fcdd","Title":"Ms.","FirstName":"Marina","LastName":"Meester","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Meester M"},{"PresentationId":"46e71ee6-2b32-40f9-8554-18cd99f0fcdd","Title":"Dr.","FirstName":"T.J.","LastName":"Tobias","Position":"Assistant professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Tobias T"},{"PresentationId":"46e71ee6-2b32-40f9-8554-18cd99f0fcdd","Title":"Dr.","FirstName":"Martijn","LastName":"Bouwknegt","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Bouwknegt M"},{"PresentationId":"46e71ee6-2b32-40f9-8554-18cd99f0fcdd","Title":"Prof.","FirstName":"Arjan","LastName":"Stegeman","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Stegeman A"},{"PresentationId":"46e71ee6-2b32-40f9-8554-18cd99f0fcdd","Title":"Professor","FirstName":"Wim","LastName":"van der Poel","Position":"Senior Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"van der Poel W"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"46e71ee6-2b32-40f9-8554-18cd99f0fcdd","Number":1,"Affiliation":"Utrecht University, Faculty of Veterinary Medicine","City":"Utrecht","State":"Utrecht","Country":"Netherlands","AffiliationDisplay":"Utrecht University, Faculty of Veterinary Medicine, Utrecht Utrecht, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"46e71ee6-2b32-40f9-8554-18cd99f0fcdd","Number":2,"Affiliation":"Vion Food Group","City":"Boxtel","State":"Noord-Brabant","Country":"Netherlands","AffiliationDisplay":"Vion Food Group, Boxtel Noord-Brabant, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"46e71ee6-2b32-40f9-8554-18cd99f0fcdd","Number":3,"Affiliation":"Wageningen Bioveterinary Research","City":"Lelystad","State":"Flevoland","Country":"Netherlands","AffiliationDisplay":"Wageningen Bioveterinary Research, Lelystad Flevoland, Netherlands"}],"AuthorsHtml":"Meester M1, Tobias T1, Bouwknegt M2, Stegeman A1, van der Poel W3","AffiliationsHtml":"
1Utrecht University, Faculty of Veterinary Medicine, Utrecht Utrecht, Netherlands
2Vion Food Group, Boxtel Noord-Brabant, Netherlands
3Wageningen Bioveterinary Research, Lelystad Flevoland, Netherlands
"},{"Title":"Farm internal biosecurity measures to reduce hepatitis E virus in fattening pigs","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Html":null,"PlainText":"Keywords: zoonosis; risk factors; within-farm transmission
1.\tHepatitis E virus (HEV) can be transmitted from pigs to humans and cause liver infection. HEV circulates on most farms and almost every group (batch) of pigs at slaughter is HEV seropositive. Reducing the number of HEV shedding pigs at slaughter is necessary to lower human exposure but it is unknown how to realize this. Therefore, we aim to identify measures that aid HEV control on pig farms via a retrospective risk factor study.
2.\tM&M: The outcome of interest was the proportion of HEV negative batches delivered to slaughter, which was determined for 215 farms previously. Farms with the highest / lowest proportion of negative batches were approached. Information on farm management, with a focus on internal biosecurity, i.e. direct, indirect contact between pigs and cleaning and disinfection, as potential protective measures was gathered by an interview with the farmer, and audit (resp. 200; 80 questions), performed by the researcher. Both farmer and researcher were blind for the outcome. LASSO (least absolute shrinkage and selection operator) regression with cross-validation on 500 bootstrap samples was used to select variables associated with the outcome, when corrected for all other variables in the model.
3.\tResults: Rubber and steel floor material in fattening pens were selected by LASSO most often and increased the odds of an HEV negative batch with odds ratios (OR) 5.87 (95% confidence intervals (95%CI) 3.03-11.6) and 7.13 (95%CI 3.05-16.9), respectively. Cleaning driving boards frequently (OR 1.99 (95%CI 1.07-3.80)), fly control with predatory flies (OR 4.52 (95%CI 1.59-13.5)) and a fattening period shorter than 105 days were the other protective factors in the final model.
4.\tConclusion: Specific farm biosecurity measures need to be considered for HEV control on pig farms. Yet, the effects of implementation need validation in future intervention studies.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Title":"Ms.","FirstName":"Marina","LastName":"Meester","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Meester M"},{"PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Title":"Dr.","FirstName":"T.J.","LastName":"Tobias","Position":"Assistant professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Tobias T"},{"PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Title":"Dr.","FirstName":"Jan","LastName":"van den Broek","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"van den Broek J"},{"PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Title":"Ms.","FirstName":"Carmijn","LastName":"Meulenbroek","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Meulenbroek C"},{"PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Title":"Dr.","FirstName":"Martijn","LastName":"Bouwknegt","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Bouwknegt M"},{"PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Title":"Professor","FirstName":"Wim","LastName":"van der Poel","Position":"Senior Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"van der Poel W"},{"PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Title":"Prof.","FirstName":"Arjan","LastName":"Stegeman","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Stegeman A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Number":1,"Affiliation":"Utrecht University, Faculty of Veterinary Medicine","City":"Utrecht","State":"Utrecht","Country":"Netherlands","AffiliationDisplay":"Utrecht University, Faculty of Veterinary Medicine, Utrecht Utrecht, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Number":2,"Affiliation":"Vion Food Group","City":"Boxtel","State":"Noord-Brabant","Country":"Netherlands","AffiliationDisplay":"Vion Food Group, Boxtel Noord-Brabant, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"557595a0-f2e2-44ac-ad90-800ce995b821","Number":3,"Affiliation":"Wageningen Bioveterinary Research","City":"Lelystad","State":"Flevoland","Country":"Netherlands","AffiliationDisplay":"Wageningen Bioveterinary Research, Lelystad Flevoland, Netherlands"}],"AuthorsHtml":"Meester M1, Tobias T1, van den Broek J1, Meulenbroek C1, Bouwknegt M2, van der Poel W3, Stegeman A1","AffiliationsHtml":"
1Utrecht University, Faculty of Veterinary Medicine, Utrecht Utrecht, Netherlands
2Vion Food Group, Boxtel Noord-Brabant, Netherlands
3Wageningen Bioveterinary Research, Lelystad Flevoland, Netherlands
"}],"DisplayName":"Marina Meester","TimeDisplay":null},{"ContactId":"616807f8-aa93-495f-8dc3-00972840565c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ângelo","LastName":"Mendes","Position":"","Organization":"University of Glasgow","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/27d2345eb8d3470686a62f2587fb99a0","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The monetary costs and disease burden attributable to brucellosis in a pastoralist community of northern Tanzania","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"33b57484-c325-407c-aa1f-8fe1e2c2f1aa","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Html":null,"PlainText":"Objective
This study aimed to estimate the monetary costs and disease burden attributable to livestock and human brucellosis in the Ngorongoro Conservation Area (NCA), Tanzania.

Materials and methods
Searches of the literature were conducted to gather data on prevalence, production impacts and management of livestock and human brucellosis in the NCA. Additional epidemiological and economic data were obtained from surveys delivered by the University of Glasgow, the World Bank and the International Livestock Research Institute.
A stochastic, herd-growth model was used to estimate annual monetary losses (production potential not realised) attributable to brucellosis in cattle, sheep and goats, per infected animal and per 10,000 animals of each species.
A Markov model was used to estimate the personal monetary cost (productivity loss and out-of-pocket expenditure) and disease burden (disability-adjusted life years, DALYs) attributable to human brucellosis, per infected person and per 10,000 person-years.

Results
The median [lower (Q1) - upper quartiles (Q3)] annual losses attributable to brucellosis in cattle, sheep and goats were 76.6 [52.1-106.0], 9.6 [6.8-13.2] and 10.8 [7.7-14.8] international dollars (int. $), respectively, per infected animal. The median [Q1-Q3] annual losses attributable to brucellosis per 10,000 cattle, sheep and goats each were 48.3 [32.8-66.8], 3.2 [2.2-4.4] and 5.5 [3.9-7.5] thousand int. $, respectively.
The median [Q1-Q3] cost of human brucellosis was 551.7 [244.2-1,077.0] int. $ per infected person and 22.8 [10.1-44.6] thousand int. $ per 10,000 person-years. The median [Q1-Q3] disease burden attributable to human brucellosis was 0.6 [0.5-0.7] DALYs per infected person and 23.9 [18.0-31.5] DALYs per 10,000 person-years.

Conclusion
Brucellosis causes considerable impacts in a pastoralist community of northern Tanzania. These results can be used to guide policy development for brucellosis control. The methods applied in this study may be helpful to quantify the impacts of this and other zoonoses in similar settings.

Keywords
Brucellosis, Tanzania, impact.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Title":"Mr.","FirstName":"Ângelo","LastName":"Mendes","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mendes Â"},{"PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Title":"Prof.","FirstName":"Daniel","LastName":"Haydon","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Haydon D"},{"PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Title":"Mr.","FirstName":"AbdulHamid","LastName":"Lukambagire","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Lukambagire A"},{"PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Title":"Dr.","FirstName":"William","LastName":"de Glanville","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"de Glanville W"},{"PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Title":"Dr.","FirstName":"Rebecca","LastName":"Bodenham","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Bodenham R"},{"PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Title":null,"FirstName":null,"LastName":"et al.","Position":null,"Affiliations":"1,4","IsPresenting":false,"SortOrder":6,"DisplayName":"et al."}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Number":1,"Affiliation":"Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow","City":"Glasgow","State":null,"Country":"United Kingdom","AffiliationDisplay":"Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Number":2,"Affiliation":"Sokoine University of Agriculture","City":"Morogoro","State":null,"Country":"Tanzania","AffiliationDisplay":"Sokoine University of Agriculture, Morogoro, Tanzania"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Number":3,"Affiliation":"EcoHealth Alliance","City":"New York","State":null,"Country":"USA","AffiliationDisplay":"EcoHealth Alliance, New York, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f7890131-b90e-4a90-b864-ebac9c13d453","Number":4,"Affiliation":"Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow","City":"Glasgow","State":null,"Country":"United Kingdom","AffiliationDisplay":"Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom"}],"AuthorsHtml":"Mendes Â1, Haydon D1, Lukambagire A2, de Glanville W1, Bodenham R1,3, et al.1,4","AffiliationsHtml":"
1Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
2Sokoine University of Agriculture, Morogoro, Tanzania
3EcoHealth Alliance, New York, USA
4Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
"}],"DisplayName":"Ângelo Mendes","TimeDisplay":null},{"ContactId":"7ab9bb0a-558b-4aa1-9a97-c24f3790d34a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sanjaya","LastName":"Mijar","Position":"","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The impact of commingling of calves of different sources on mortality, morbidity, and performance in a feedlot environment","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"51b6df3c-c67c-4420-900e-9d83087bcbae","Html":null,"PlainText":"Commingling of preconditioned (PC) and auction-derived (AD) calves in the feedlot can hamper PC calves' expected growth and health advantages, hence predisposing the calves to the susceptibility of Bovine Respiratory Disease. Therefore, our objective was to evaluate the impact of optimized preconditioning on mortality, morbidity, and average daily gain (ADG) during the first 40 days in the feedlot when commingled with different proportions of AD calves (25, 50, 75%).
Calves sourced were preconditioned at WA Ranches of the University of Calgary (PC, n=250) and from a local auction market (AD, n=250). Upon arrival at the feedlot, the calves were assigned into 1 of 5 pens: 100% PC, 100% AD, 50%PC 50%AD, 75%PC 25%AD, and 25%PC 75%AD. Morbidities, mortalities, and weights were recorded until day 40. Hair samples from each calf were collected for cortisol detection.
At pen level, the morbidity (63%) was highest in 25PC75AD and the least (21%) in 50C50AD and was significantly different between the pens (p<0.05). There were 3 deaths in 100AD pen and 2 deaths in 25PC75AD pen. The mean ADG in 100AD pen (3.16 lb./day) was significantly higher than rest of the groups (p<0.05). No difference in cortisol concentration was found between best-performing PC calves (n=26, mean=19.26 pg/mg) and least performing AD calves (n=25, mean=19.36 pg/mg) (p>0.05).
Additionally, the effects of the variables (feeding, ruminating, cortisol concentration, commingling proportion) on the calves’ mortality, morbidity, and ADG will be analyzed in Spring 2022. Presumably, commingling has no effect on PC calf performance. However, AD calves performed well in our study.

Keywords: BRD, Preconditioning, Auction-derived, Cortisol, Health performance","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"51b6df3c-c67c-4420-900e-9d83087bcbae","Title":"Mr.","FirstName":"Sanjaya","LastName":"Mijar","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mijar S"},{"PresentationId":"51b6df3c-c67c-4420-900e-9d83087bcbae","Title":"Mr.","FirstName":"Frank","LastName":"Van Der Meer","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Van Der Meer F"},{"PresentationId":"51b6df3c-c67c-4420-900e-9d83087bcbae","Title":"Dr.","FirstName":"Ed","LastName":"Pajor","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Pajor E"},{"PresentationId":"51b6df3c-c67c-4420-900e-9d83087bcbae","Title":"Ms.","FirstName":"Abby","LastName":"Hodder","Position":"M.Sc.","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Hodder A"},{"PresentationId":"51b6df3c-c67c-4420-900e-9d83087bcbae","Title":"Mrs.","FirstName":"Karin","LastName":"Orsel","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Orsel K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"51b6df3c-c67c-4420-900e-9d83087bcbae","Number":1,"Affiliation":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"51b6df3c-c67c-4420-900e-9d83087bcbae","Number":2,"Affiliation":"Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada"}],"AuthorsHtml":"Mijar S1, Van Der Meer F2, Pajor E1, Hodder A1, Orsel K1","AffiliationsHtml":"
1Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada
2Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada
"}],"DisplayName":"Sanjaya Mijar","TimeDisplay":null},{"ContactId":"a7db0196-27c9-4436-923c-d21154ffa320","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kealeboga","LastName":"Mileng","Position":"Phd Candidate","Organization":"North West University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d8264476e8d44920a55572fe8a9e485f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Isolation and antibiotic sensitivity of Campylobacter species from fecal samples of broiler chickens in North West Province, South Africa","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3444e93f-520e-4c61-a80c-376f1d32b798","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"05ae2a19-58f4-4164-8d16-e39766dd5c3f","Html":null,"PlainText":"Objective
The Objective of the study was to determine the occurrence of Campylobacter species in chickens from North West Province of South Africa as well as their antibiotic sensitivity status.

Materials and Methods
A total of 2400 chicken fecal samples were collected and pooled to a total of 480 samples from five registered active poultry abattoirs in the Ngaka Modiri Molema District of North West Province, South Africa. Polymerase chain reaction (PCR) was used for the detection of Campylobacter spp. targeting the 16S rRNA gene while antibiotic sensitivity was determined using disk diffusion inhibition test.

Results
After isolation, a total of 26 samples were confirmed to be harboring Campylobacter jejuni by PCR and sequencing. C. jejuni was found to be the only isolate detected in all the fecal samples tested. The study further demonstrated that C. jejuni infections were highest in the summer season (3%) followed by autumn and winter at 1%, while there were none detected in the spring. The isolated C. jejuni-positive samples on disk diffusion inhibition test displayed resistance to nalidixic acid, tetracycline, erythromycin, and ciprofloxacin at 98%, 80%, 83%, and 21%, respectively.

Conclusion: C. jejuni isolated in this study is known to cause disease in humans, and thus its occurrence requires application of \"One Health\" strategy to reduce the spread of this zoonotic pathogen in South Africa.

Keywords: antibiotic resistance, Campylobacter jejuni, chickens, South Africa.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"05ae2a19-58f4-4164-8d16-e39766dd5c3f","Title":"Ms.","FirstName":"Kealeboga","LastName":"Mileng","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mileng K"},{"PresentationId":"05ae2a19-58f4-4164-8d16-e39766dd5c3f","Title":"Dr ","FirstName":"Rendani","LastName":"Ndou","Position":"Senior Lecture, Veteriarian","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Ndou R"},{"PresentationId":"05ae2a19-58f4-4164-8d16-e39766dd5c3f","Title":"Prof","FirstName":"Michelo","LastName":"Syakalima","Position":"Senior Lecture","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Syakalima M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"05ae2a19-58f4-4164-8d16-e39766dd5c3f","Number":1,"Affiliation":"Department of Animal Health, School of Agriculture, Faculty of agriculture, Science and Technology","City":"Mafikeng","State":"North West Province","Country":"South Africa","AffiliationDisplay":"Department of Animal Health, School of Agriculture, Faculty of agriculture, Science and Technology, Mafikeng North West Province, South Africa"}],"AuthorsHtml":"Mileng K1, Ndou R, Syakalima M","AffiliationsHtml":"
1Department of Animal Health, School of Agriculture, Faculty of agriculture, Science and Technology, Mafikeng North West Province, South Africa
"}],"DisplayName":"Kealeboga Mileng","TimeDisplay":null},{"ContactId":"4d5460eb-b440-455b-8e71-1914562e0442","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mafalda","LastName":"Mil-Homens","Position":"Graduate Student","Organization":"Iowa State University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a16ed2332b214143a7e9ded203b36e18","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Investigation of the use of sow off-feed events and number of abortions to early detect Porcine Reproductive and Respiratory Syndrome (PRRSV) outbreaks in breeding herds","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"517aa74a-9a35-4504-8a70-e516fdde5892","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"21fc3fae-47a3-4fe4-b96a-65eb8e78dcbd","Html":null,"PlainText":"Objective
The objective of this study was to investigate weekly data on sow feed intake and abortion as early indicators of PRRSV outbreaks in breeding herds.

Materials and Methods
A retrospective study was conducted using production data from two breed-to-wean farms in the U.S. Midwest. The number sow off-feed and abortions/week were compared to the PRRSV status. The outbreaks were reported between weeks 49 and 51 of 2021, one event per farm. The outbreak definition was the evidence of clinical infection (increase in abortions, increase in preweaning mortality) and virus detection by Polymerase Chain Reaction. The Exponentially Weighted Moving Average (EWMA) was used to investigate deviations of the explanatory variables in the weeks before the outbreak. The sigma (σ) parameter was set to 3 and the smoothing parameter (λ) to 0.40. The baseline was fifteen weeks and ten weeks without signals in the EWMA before the outbreak for each farm, respectively. A total of 53 weeks representing the year 2021 were used. Model performance was assessed comparing the EWMA signals and the PRRS virus status/week.

Results
The time-to-detect significant deviations on the number of aborts was two to five weeks before the outbreak report, and two to four weeks before for the number sows off-feed events per week.
The overall performance for abortions/week had a sensitivity of 100%, specificity of 95% and accuracy of 95 %. Sows off-feed events had a sensitivity of 100%, specificity of 68% and accuracy of 71%.

Conclusion
This study demonstrated that swine producers can monitor sow production data collected routinely to identify PRRSV outbreaks weeks early. This would lead to early implementation of biocontainment and bioexclusion measures to control the outbreak and virus spread to other sites, decrease production and economic losses, and lead to early stability.

Key words: Outbreak, early detection, off-feed, performance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"21fc3fae-47a3-4fe4-b96a-65eb8e78dcbd","Title":"Dr.","FirstName":"Mafalda","LastName":"Mil-Homens","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mil-Homens M"},{"PresentationId":"21fc3fae-47a3-4fe4-b96a-65eb8e78dcbd","Title":"Dr.","FirstName":"Edison","LastName":"Magalhaes","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Magalhaes E"},{"PresentationId":"21fc3fae-47a3-4fe4-b96a-65eb8e78dcbd","Title":"Dr.","FirstName":"Gustavo","LastName":"Silva","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Silva G"},{"PresentationId":"21fc3fae-47a3-4fe4-b96a-65eb8e78dcbd","Title":"Dr.","FirstName":"Daniel","LastName":"Linhares","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Linhares D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"21fc3fae-47a3-4fe4-b96a-65eb8e78dcbd","Number":1,"Affiliation":"Iowa State University","City":"Ames","State":"Iowa","Country":"United States of America","AffiliationDisplay":"Iowa State University, Ames Iowa, United States of America"}],"AuthorsHtml":"Mil-Homens M1, Magalhaes E1, Silva G1, Linhares D1","AffiliationsHtml":"
1Iowa State University, Ames Iowa, United States of America
"}],"DisplayName":"Mafalda Mil-Homens","TimeDisplay":null},{"ContactId":"44c68007-9150-4b80-8cae-e1b2714130b5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nikky","LastName":"Millar","Position":"","Organization":"Université de Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Restricting antimicrobial use in dairy production in Quebec, Canada: Barriers, facilitators and impacts ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7346e8bb-cb44-4226-806d-b3ebd0891451","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Html":null,"PlainText":"Keywords: qualitative research, COM-B model
Objectives: Since February 2019, a new regulation restricting the use of antimicrobials of very high importance in human medicine (3rd and 4th generation cephalosporins, fluoroquinolones, and polymyxins; also defined as category I antimicrobials by Health Canada) was implemented in food producing animals in Quebec, Canada. Therefore, the objectives of the study were to investigate barriers and facilitators to the implementation of the regulation by dairy farmers and veterinarians, and to identify its main consequences.
Material and methods: Individual semi-structured interviews were performed with 15 veterinarians and 27 dairy producers from the province of Quebec. A thematic analysis was perform based on the COM-B model.
Results: The results showed that awareness about antimicrobial use and antimicrobial resistance, fear of economic consequences and the veterinarian-producer relationship influenced the producer's willingness to comply with the regulation. The delay to get diagnostic test results was also an obstacle to respect the new regulations, as waiting for several days for a test result to treat an animal was considered as an animal welfare issue by several producers. Other barriers included the lack of access to veterinary services for producers living in remote areas, and the lack of alternatives to Category 1 antimicrobials. Producers perceived that the new regulation had economic consequences in different ways; some producers felt they lost money while others reported making more profit. An increase in activities targeting disease prevention was also reported as a positive outcome.
Conclusion: This study contributes to better understand the factors and impacts associated with the restriction of antimicrobial use in dairy farming in a North American context. Results will be useful to better prepare the implementation of similar regulations in the future in order to minimize their economic, health and social impacts for producers and veterinarians working in the dairy industry.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Title":"Dr.","FirstName":"Nikky","LastName":"Millar","Position":null,"Affiliations":"1,2,3,4","IsPresenting":true,"SortOrder":1,"DisplayName":"Millar N"},{"PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Title":"Dr","FirstName":"Cecile","LastName":"Aenishaenslin","Position":null,"Affiliations":"1,2,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Aenishaenslin C"},{"PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Title":"Dr","FirstName":"Simon","LastName":"Dufour","Position":null,"Affiliations":"1,2,4","IsPresenting":false,"SortOrder":3,"DisplayName":"Dufour S"},{"PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Title":"Dr","FirstName":"Jean-Philippe","LastName":"Roy","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Roy J"},{"PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Title":"Dr","FirstName":"Hélène","LastName":"Lardé","Position":null,"Affiliations":"1,5","IsPresenting":false,"SortOrder":5,"DisplayName":"Lardé H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Number":1,"Affiliation":"Université De Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Université De Montréal, Saint-Hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Number":2,"Affiliation":"Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP)","City":"Saint-Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Saint-Hyacinthe Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Number":3,"Affiliation":"Centre de recherche en santé publique, Université de Montréal","City":"Montréal","State":"Québec","Country":"Canada","AffiliationDisplay":"Centre de recherche en santé publique, Université de Montréal, Montréal Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Number":4,"Affiliation":"Fond de recherche Nature et technologies du Québec, Op+Lait","City":"Saint-Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Fond de recherche Nature et technologies du Québec, Op+Lait, Saint-Hyacinthe Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"dfdc08f5-5e7e-4cb0-af1a-e654e172f0f4","Number":5,"Affiliation":"Ross University School of Veterinary Medicine","City":"Basseterre","State":null,"Country":"Saint-Kitts","AffiliationDisplay":"Ross University School of Veterinary Medicine, Basseterre, Saint-Kitts"}],"AuthorsHtml":"Millar N1,2,3,4, Aenishaenslin C1,2,3, Dufour S1,2,4, Roy J1, Lardé H1,5","AffiliationsHtml":"
1Université De Montréal, Saint-Hyacinthe QC, Canada
2Groupe de recherche en épidémiologie des zoonoses et santé publique (GREZOSP), Saint-Hyacinthe Québec, Canada
3Centre de recherche en santé publique, Université de Montréal, Montréal Québec, Canada
4Fond de recherche Nature et technologies du Québec, Op+Lait, Saint-Hyacinthe Québec, Canada
5Ross University School of Veterinary Medicine, Basseterre, Saint-Kitts
"}],"DisplayName":"Nikky Millar","TimeDisplay":null},{"ContactId":"8562ff25-4a04-4c22-b652-542dcb3219a5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lebogang","LastName":"Mnisi","Position":"Animal health technician","Organization":"Department Of Agriculture","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/29b24c684fbb49b2a2f745ec58d8ed83","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Post African swine fever outbreak biosecurity investigation in North West Province, Dr Kenneth Kaunda District in Potchefstroom: South Africa","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4e3ff922-3040-4095-a60a-9b2be086017b","Html":null,"PlainText":"African swine fever (ASF) outbreak was declared in May 2021 around Potchefstroom area after being detected and confirmed from post mortem tissue samples. The virus spread through auction sales due to poor biosecurity protocols such as lack of movement control restrictions, lack of pre-quarantine facility, and absence of health declaration certification etc. This outbreak affected a total of 17,903 pigs, and left farmers, auction and abattoir managers devastated with economic losses estimated to R35,880,000. With the absence of proven vaccines and treatment against this virus, biosecurity is crucial and is the only effective control tool available.

This investigation report aimed at assisting affected farmers, auction and abattoir managers with the implementation of effective biosecurity protocols. The objective of this investigation report was to identify on-farm and national biosecurity program gaps and address them. Data was collected through systematic literature reviews, animal disease act and animal health act reviews and assessment of national biosecurity programs. The data analysed comprised biosecurity questionnaires and farmers, abattoir and auction managers’ interviews records. The results from ASF outbreak investigation were analysed to address biosecurity gaps.

This report identified biosecurity knowledge gaps and conducted individual on-farm biosecurity awareness campaigns about foot baths, and disinfecting of vehicle tyres etc. Although this report assisted these affected farmers and market sales managers to implement basic and effective biosecurity protocols in their premises, government needs to enforce animal disease acts for farmers to abide by the law. The South African government should hold law breakers accountable for their acts by introducing strict monetary fines in order to promote good biosecurity practices.
This report recommends new surveillance programmes like annual serological surveillance for African swine fever which currently does not exist. This will strengthen ASF and Classical Swine Fever (CSF) detection capabilities and enhance outbreak preparedness.

Keywords: African swine fever; biosecurity
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4e3ff922-3040-4095-a60a-9b2be086017b","Title":"Mrs.","FirstName":"Lebogang","LastName":"Mnisi","Position":"Animal health technician","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mnisi L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4e3ff922-3040-4095-a60a-9b2be086017b","Number":1,"Affiliation":"Department Of Agriculture","City":"Potchefstroom","State":"North West","Country":"South Africa","AffiliationDisplay":"Department Of Agriculture, Potchefstroom North West, South Africa"}],"AuthorsHtml":"Mnisi L1","AffiliationsHtml":"
1Department Of Agriculture, Potchefstroom North West, South Africa
"}],"DisplayName":"Lebogang Mnisi","TimeDisplay":null},{"ContactId":"679e4b27-efc6-4f7d-9a76-18be0509a38f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gustavo","LastName":"Monti","Position":"Associate Professor","Organization":"Wageningen Univeristy and Research","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a1daf9ca0af64ca5876cac9ff09018f5","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Field evaluation of a vaccine that reduced Bovine Leukemia Virus (BLV) transmission in cattle","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"791f6711-f679-4a3f-a672-0c7df75e4923","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Html":null,"PlainText":"Objective(s)
The study was aimed to quantify individual transmission of BLV among herdmates, for BVL-vaccinated bovines, in an experimental field trial.

Materials and methods
A longitudinal study was conducted in 72 bovines at INTA’s experimental farm in Rafaela, Argentina, from February 2016 to February 2021, using four cohorts. Twenty-nine bovines received a live BLV attenuated virus as the vaccine.
With naturally infectious animals, a cohabitation design was implemented, in which vaccinated and non-vaccinated animals were managed together in a double-blinded design (for personnel or professional staff). All animals were bled and tested every three months by ELISA and every six months by qPCR for virus detection and load assessment; over 48-month follow-up period.
Using ELISA and qPCR, the incidence rates (IR) and the basic reproduction ratio (R0) were calculated. The effective transmission coefficient (β) was estimated using a zero-inflated model (GLM) with a negative binomial distribution, a log link, and (SI/N) as an offset variable. IR and were calculated for both vaccinated and unvaccinated animals.

Results
The incidence ratio was 47.7, with IRnon-vac at 90,6 per 100,000 animals at risk per year, IRvacc at 1.9 per 100,000 animals at risk per year, and IRvacc at 1.9 per 100,000 animals at risk per year.
With a statistically significant difference, the βnon-vaccinated was 1.1e-2 per month (95% CI 4.5e-3; 2.4e-2) and for vaccinated was 4.9e-5 per month (95% CI 1.9e-6; 1.2e-3) The median infectious durations for the non-vaccinated and vaccinated groups were 28.5 and 7.5 months, respectively. As a result, R0non-vac= 5.82 (95% CI 3.87-21.18) and R0vacc= 0.01 are calculated (95% CI 0.0004-0.27).

Conclusion
According to the results, the new vaccination considerably reduces and delays viral infection in animals. It could be a crucial strategic tool for controlling the infection, especially when infection rates are high and testing and removal are difficult.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"DVM","FirstName":"Guillermo","LastName":"Suarez","Position":"Researcher","Affiliations":"2","IsPresenting":false,"SortOrder":1,"DisplayName":"Suarez G"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr.","FirstName":"Gustavo","LastName":"Monti","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Monti G"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr.","FirstName":"Irene","LastName":"Alvarez","Position":"Senior Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Alvarez I"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr.","FirstName":"Gerónimo","LastName":"Gutierrez","Position":"Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Gutierrez G"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr.","FirstName":"Jean-Rock","LastName":"Jacques","Position":"Researcher","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Jacques J"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr","FirstName":"Thomas","LastName":"Joris","Position":"Researcher","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Joris T"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr","FirstName":"Marcos","LastName":"Petersen","Position":"Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Petersen M"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr","FirstName":"Lautaro ","LastName":"Franco","Position":"Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":8,"DisplayName":"Franco L"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr.","FirstName":"Alejandro","LastName":"Abdala","Position":"Senior Researcher","Affiliations":"2","IsPresenting":false,"SortOrder":9,"DisplayName":"Abdala A"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr","FirstName":"Luis","LastName":"Calvinho","Position":"Senior Researcher","Affiliations":"2","IsPresenting":false,"SortOrder":10,"DisplayName":"Calvinho L"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Prof.","FirstName":"Luc","LastName":"Willems","Position":"Professor","Affiliations":"4,5,6","IsPresenting":false,"SortOrder":11,"DisplayName":"Willems L"},{"PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Title":"Dr.","FirstName":"Karina","LastName":"Trono","Position":"Head Department","Affiliations":"3","IsPresenting":false,"SortOrder":12,"DisplayName":"Trono K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Number":1,"Affiliation":"Quantitative Veterinary Epidemiology, Wageningen University And Research","City":"Wageningen","State":"Gelderland","Country":"Netherlands","AffiliationDisplay":"Quantitative Veterinary Epidemiology, Wageningen University And Research, Wageningen Gelderland, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Number":2,"Affiliation":"Grupo de Sanidad Animal, Estación Experimental Agropecuaria Rafaela, Instituto Nacional de Tecnología Agropecuaria (INTA)","City":"Rafaela","State":"Santa Fe","Country":"Argentina","AffiliationDisplay":"Grupo de Sanidad Animal, Estación Experimental Agropecuaria Rafaela, Instituto Nacional de Tecnología Agropecuaria (INTA), Rafaela Santa Fe, Argentina"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Number":3,"Affiliation":"Instituto de Virología e Innovaciones tecnológicas, Instituto Nacional de Tecnología Agropecuaria (INTA) - CONYCET ","City":"Hurlingham","State":"Buenos AIres","Country":"Argentina","AffiliationDisplay":"Instituto de Virología e Innovaciones tecnológicas, Instituto Nacional de Tecnología Agropecuaria (INTA) - CONYCET , Hurlingham Buenos AIres, Argentina"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Number":4,"Affiliation":"Molecular and Cellular Epigenetics, Interdisciplinary Cluster for Applied Genoproteomics (GIGA),University of Liège","City":"Liege","State":"Namen","Country":"Belgium","AffiliationDisplay":"Molecular and Cellular Epigenetics, Interdisciplinary Cluster for Applied Genoproteomics (GIGA),University of Liège, Liege Namen, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Number":5,"Affiliation":"Molecular Biology at ECOTRON, Gembloux Agro-Bio Tech","City":"Gembloux","State":"Namen","Country":"Belgium","AffiliationDisplay":"Molecular Biology at ECOTRON, Gembloux Agro-Bio Tech, Gembloux Namen, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bbd0e861-02c7-4d03-8967-fa2cce75e38a","Number":6,"Affiliation":"National Fund for Scientific Research, University of Liège","City":"Gembloux","State":"Namen","Country":"Belgium","AffiliationDisplay":"National Fund for Scientific Research, University of Liège, Gembloux Namen, Belgium"}],"AuthorsHtml":"Suarez G2, Monti G1, Alvarez I3, Gutierrez G3, Jacques J4, Joris T4, Petersen M3, Franco L3, Abdala A2, Calvinho L2, Willems L4,5,6, Trono K3","AffiliationsHtml":"
1Quantitative Veterinary Epidemiology, Wageningen University And Research, Wageningen Gelderland, Netherlands
2Grupo de Sanidad Animal, Estación Experimental Agropecuaria Rafaela, Instituto Nacional de Tecnología Agropecuaria (INTA), Rafaela Santa Fe, Argentina
3Instituto de Virología e Innovaciones tecnológicas, Instituto Nacional de Tecnología Agropecuaria (INTA) - CONYCET , Hurlingham Buenos AIres, Argentina
4Molecular and Cellular Epigenetics, Interdisciplinary Cluster for Applied Genoproteomics (GIGA),University of Liège, Liege Namen, Belgium
5Molecular Biology at ECOTRON, Gembloux Agro-Bio Tech, Gembloux Namen, Belgium
6National Fund for Scientific Research, University of Liège, Gembloux Namen, Belgium
"},{"Title":"CHANGES IN NETWORK CONNECTIVITY IN SOUTHERN CHILEAN HERDS AFTER LIVESTOCK MARKETS ’ (LM) REMOVAL, AND THE ASSOCIATION BETWEEN HERD ATTRIBUTES AND CONTACT CHAIN MEASURES","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"55ea826c-c327-40fb-878c-7ce834da3b55","Html":null,"PlainText":"Background: The influence of LMs on network connectivity in cattle trading network is defined by shortening pathways and connecting nodes that would otherwise be inaccessible. Given their influence, LMs could be made accountable for super-spreading events and should be closely monitored and controlled.
Objective: To describe network properties in cattle trade networks in Chile’s Los Rios Region after LMs removing and seasonal disaggregation.
Materials and methods: A network analysis was performed on 4,849 nodes from the Los Rios Region and 46,558 movements between 01/2016 and 12/2017 using the National Livestock Traceability databases. We evaluated and disaggregated by season 2 networks, a Whole Network (WN) and other Without Markets and their connections (WN-wM). The association between contact chain measurements and variables was investigated using a GLM with binomial distribution over permuted data and a GLM with binomial distribution over network and node-level metrics (herd class, herd location, LM presence alongside contact chain).
Result(s): The connectivity of static networks decreases after LMs are removed, shown by an increase in average shortest path length (ASPL) (from 4.8 to 9.5) and diameter (from 17 to 25). The connectivity improves following seasonal disaggregation, shown by diameter reduction (7-12 for WN and 5-9 for WN-wM) and ASPL reduction (2.3-3.5 for WN and 1.4-1.9 for WN-wM). For node metrics, dairy and beef herds have surpassed LMs as the most dominant nodes. In dairy and mixed herds, high ingoing contact chain (ICC) values are less common than in beef herds. ICC values were predominantly linked to LMs.
Conclusion: Following the removal of LMs and seasonal disaggregation, increased connection appears to be driven by direct herd-to-herd trading, resulting in lower ASPL and diameter. Static network analysis can obscure connection properties that are critical for virus spread. Potential pathogen entrance sites increase when LM is present in a herd’s ICC.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"55ea826c-c327-40fb-878c-7ce834da3b55","Title":"Mr.","FirstName":"Gustavo","LastName":"Monti","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Monti G"},{"PresentationId":"55ea826c-c327-40fb-878c-7ce834da3b55","Title":"Dr.","FirstName":"Oscar","LastName":"Alocilla","Position":"PhD","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Alocilla O"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"55ea826c-c327-40fb-878c-7ce834da3b55","Number":1,"Affiliation":"Wageningen University And Research","City":"Wageningen","State":"Gelderland","Country":"Netherlands","AffiliationDisplay":"Wageningen University And Research, Wageningen Gelderland, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"55ea826c-c327-40fb-878c-7ce834da3b55","Number":2,"Affiliation":"PhD Veterinary Science Program, Graduate School, Faculty of Veterinary Sciences, Universidad Austral de Chile","City":"Valdivia","State":"Los Ríos","Country":"Chile","AffiliationDisplay":"PhD Veterinary Science Program, Graduate School, Faculty of Veterinary Sciences, Universidad Austral de Chile, Valdivia Los Ríos, Chile"}],"AuthorsHtml":"Monti G1, Alocilla O2","AffiliationsHtml":"
1Wageningen University And Research, Wageningen Gelderland, Netherlands
2PhD Veterinary Science Program, Graduate School, Faculty of Veterinary Sciences, Universidad Austral de Chile, Valdivia Los Ríos, Chile
"}],"DisplayName":"Gustavo Monti","TimeDisplay":null},{"ContactId":"54e1bd4d-f9b6-4446-81a4-e11474361c69","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Keneiloe","LastName":"Montsu","Position":"Senior Research technician","Organization":"Agricultural Research Council","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0a3dcb134e044804b2cd349c75c63816","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"African swine fever in Gauteng province, South Africa: Biosecurity risks","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"79161c3d-44db-4c45-8daf-4b3bde375862","Html":null,"PlainText":"
Objective(s)
The 2012 and 2016-2022, African swine fever (ASF) outbreaks in Gauteng are suspected to form part of the domestic cycle, which consists of pig-to-pig transmission. The objective of this study was to determine the potential risk of ASF spread within and to Gauteng with reference to specific areas, which are currently known to be ASF-free and areas exposed to ASF outbreaks from 2016-2022.
Method and Materials
In 2020 and 2021, pig farmers willing to participate in the study had been identified. Hundred and thirty-seven farmers agreed to participate in the study, which allowed the researchers to conduct telephonically interviews (due to COVID-19 epidemic) and/or face-to-face interviews. The latter were achieved by obtaining data from smallholder farmers using questionnaires, which included questions on the general characteristics of the farm and household, herd size and ownership, pig and animal health management, biosecurity measures, pig trade and movement, awareness of ASF, sanitary measures and possible virus introduction routes. Farmers were divided according to three criteria based on their past experience toward the disease and the ASF status of the area in which they were located.
Results
Data collected indicate knowledge gaps regarding ASF in general. Lack of basic biosecurity knowledge as well as application thereof such as free-roaming pigs were identified as risk factors. Results further show that there is evidence of informal movements or trade in the area.
Conclusion
Creating awareness and improving of knowledge on African swine fever, biosecurity and control is an aspect required by many smallholder farmers in the Gauteng Province. Farmers still need training on some of the basic cost effective biosecurity measures they can be implement on farms.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"79161c3d-44db-4c45-8daf-4b3bde375862","Title":"Mrs.","FirstName":"Keneiloe","LastName":"Montsu","Position":"Senior Research technician","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Montsu K"},{"PresentationId":"79161c3d-44db-4c45-8daf-4b3bde375862","Title":"Dr","FirstName":"Juanita","LastName":"Van Heerden","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Van Heerden J"},{"PresentationId":"79161c3d-44db-4c45-8daf-4b3bde375862","Title":"Dr","FirstName":"Carin","LastName":"Boshoff","Position":"Head of Department","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Boshoff C"},{"PresentationId":"79161c3d-44db-4c45-8daf-4b3bde375862","Title":"Mr.","FirstName":"Eric","LastName":"Etter","Position":"Veterinarian Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Etter E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"79161c3d-44db-4c45-8daf-4b3bde375862","Number":1,"Affiliation":"Transboundary animal disease, Agricultural Research Council","City":"Pretoria","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Transboundary animal disease, Agricultural Research Council, Pretoria Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"79161c3d-44db-4c45-8daf-4b3bde375862","Number":2,"Affiliation":"Department of Biomedical Sciences, Tshwane University of Technology","City":"Pretoria","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Biomedical Sciences, Tshwane University of Technology, Pretoria Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"79161c3d-44db-4c45-8daf-4b3bde375862","Number":3,"Affiliation":"Department of Production Animal Studies, University of Pretoria, South Africa","City":"Pretoria ","State":"Gauteng","Country":"South Africa ","AffiliationDisplay":"Department of Production Animal Studies, University of Pretoria, South Africa, Pretoria Gauteng, South Africa "}],"AuthorsHtml":"Montsu K1, Van Heerden J1, Boshoff C2, Etter E3","AffiliationsHtml":"
1Transboundary animal disease, Agricultural Research Council, Pretoria Gauteng, South Africa
2Department of Biomedical Sciences, Tshwane University of Technology, Pretoria Gauteng, South Africa
3Department of Production Animal Studies, University of Pretoria, South Africa, Pretoria Gauteng, South Africa
"}],"DisplayName":"Keneiloe Montsu","TimeDisplay":null},{"ContactId":"7519cfdc-8957-4813-9f1b-0796deeb6cff","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Emily","LastName":"Morabito","Position":null,"Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Quantitative assessment of Eudaimonia and Hedonia as protective factors on veterinary mental health in a longitudinal, Canada-wide study","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"59a6345c-0a5e-4145-929d-90dd09b5ca21","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"17b1d86c-ef7c-4298-a2e5-0ee254511452","Html":null,"PlainText":"Compared to the general population, veterinarians have demonstrated a higher risk of suicide, suicidal thoughts, stress, and burnout, among other negative mental health outcomes. The risk of negative mental health outcomes is highest during the “transition period” (the first few years post-graduation). As there is a well-documented understanding of risk factors for poor veterinarian mental health during the transition period, the focus of this project explores specific elements of positive psychology and their potential to be protective factors. In particular, this study targets the positive psychology outcomes eudaimonia (including self-acceptance, valuable relationships, environmental mastery, autonomy, having a strong sense of purpose in life, and personal growth) and hedonia (including life satisfaction, positive affect, and negative affect). The objectives of this study are to: 1) develop an understanding of how measures of eudaimonia and hedonia change through the veterinary transition period; 2) investigate whether eudaimonic and hedonic measures are protective factors in veterinary mental health; and 3) develop a longitudinal understanding of the relationship between eudaimonia and hedonia. All final-year students from the five veterinary schools in Canada will be asked to take an online survey composed of validated questionnaires measuring eudaimonic (Psychological Wellbeing Scale; Flourishing Scale) and hedonic (Satisfaction with Life Scale) outcomes, along with other mental health outcomes (e.g. burnout and resilience). This questionnaire will be distributed at the time of graduation (Spring 2022) and will be readministered 6, 12, and 24 months into the participants’ careers. Data will be analyzed using descriptive statistics for each time point, and multivariable regression models accounting for repeated measures will determine factors associated with mental health outcomes (related to hedonia, eudaimonia, resilience, and burnout). The results of this study will contribute insight into these potential protective factors associated with veterinary mental health, providing opportunities for further research and intervention development. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"17b1d86c-ef7c-4298-a2e5-0ee254511452","Title":"Ms.","FirstName":"Emily","LastName":"Morabito","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Morabito E"},{"PresentationId":"17b1d86c-ef7c-4298-a2e5-0ee254511452","Title":"Ms.","FirstName":"Andria","LastName":"Jones-Bitton","Position":"Professor & Director Of Well-being Programming","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Jones-Bitton A"},{"PresentationId":"17b1d86c-ef7c-4298-a2e5-0ee254511452","Title":"Dr.","FirstName":"Tipsarp","LastName":"Kittisiam","Position":"PhD Student","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Kittisiam T"},{"PresentationId":"17b1d86c-ef7c-4298-a2e5-0ee254511452","Title":"Dr.","FirstName":"Adam","LastName":"Stacey","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Stacey A"},{"PresentationId":"17b1d86c-ef7c-4298-a2e5-0ee254511452","Title":"Prof.","FirstName":"John","LastName":"VanLeeuwen","Position":"Interim Dean of the Atlantic Veterinary College","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"VanLeeuwen J"},{"PresentationId":"17b1d86c-ef7c-4298-a2e5-0ee254511452","Title":"Dr.","FirstName":"Heather","LastName":"Gunn McQuillan","Position":"Assistant Dean Clinical and Professional Programming","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Gunn McQuillan H"},{"PresentationId":"17b1d86c-ef7c-4298-a2e5-0ee254511452","Title":"Ms.","FirstName":"Caroline","LastName":"Ritter","Position":"Assistant Professor and Canada Research Chair","Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Ritter C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"17b1d86c-ef7c-4298-a2e5-0ee254511452","Number":1,"Affiliation":"Atlantic Veterinary College","City":"Charlottetown ","State":"PE","Country":"Canada","AffiliationDisplay":"Atlantic Veterinary College, Charlottetown PE, Canada"}],"AuthorsHtml":"Morabito E1, Jones-Bitton A, Kittisiam T, Stacey A, VanLeeuwen J, Gunn McQuillan H, Ritter C","AffiliationsHtml":"
1Atlantic Veterinary College, Charlottetown PE, Canada
"}],"DisplayName":"Emily Morabito","TimeDisplay":null},{"ContactId":"8fb2b887-8280-4631-9ef0-169edfe6a668","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alex","LastName":"Morgan","Position":"Postdoctoral Researcher","Organization":"ETH Zürich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Quantifying the efficacy of differential taxation on antibiotics to control antimicrobial resistance in food animals","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"62695440-e123-4848-9a67-cd83adedd7dc","Html":null,"PlainText":"Differential taxation is an intervention that applies taxation rates based on the extent of antimicrobial resistance (AMR) identified for each antibiotic class. This taxation scheme has been proposed as a method to preserve drug efficacy across portfolios of antibiotics by disincentivising the usage of certain antibiotic classes. This study aims to explore the applicability of differential taxation to reduce AMR in food animals.

An integrated economic and epidemiological model is currently being developed, with this model describing AMR dynamics of multiple antibiotic classes in a livestock population. This model will be used to compare the efficacy of differential taxation against, and in tandem with, other interventions such as flat taxation schemes and improved hygiene in agricultural settings.

Preliminary results will be presented, such as the dynamics of livestock AMR following the implementation of differential taxation (Figure 1). This will also include an identification of the theoretically optimal taxation scheme to reduce criteria such as the average frequency of livestock resistance and the number of livestock years spent with disease.

This study will provide an initial step to quantifying the efficacy/plausibility of differential taxation in food animals. The results from this study will also provide policy makers with additional evidence to develop optimal policy to reduce AMR, preserve antibiotic efficacy and ultimately improve welfare in food animal populations.

Figure 1. AMR dynamics following the implementation of a differential taxation scheme. The model assumes three antibiotic classes with varying levels of antibiotic-resistance. Shaded areas represent rescaling of differential taxation every three years. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"62695440-e123-4848-9a67-cd83adedd7dc","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6c745a5612804b82b957668ef7368ee8","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"62695440-e123-4848-9a67-cd83adedd7dc","Title":"Mr.","FirstName":"Alex","LastName":"Morgan","Position":"Postdoctoral Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Morgan A"},{"PresentationId":"62695440-e123-4848-9a67-cd83adedd7dc","Title":"Prof.","FirstName":"Thomas","LastName":"Van Boeckel","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Van Boeckel T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"62695440-e123-4848-9a67-cd83adedd7dc","Number":1,"Affiliation":"Department of Environmental Systems Science, ETH Zürich","City":"Zürich","State":"Zürich","Country":"Switzerland","AffiliationDisplay":"Department of Environmental Systems Science, ETH Zürich, Zürich Zürich, Switzerland"}],"AuthorsHtml":"Morgan A1, Van Boeckel T1","AffiliationsHtml":"
1Department of Environmental Systems Science, ETH Zürich, Zürich Zürich, Switzerland
"}],"DisplayName":"Alex Morgan","TimeDisplay":null},{"ContactId":"d56a2ddc-a608-429d-afed-d063744494f4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Genever","LastName":"Morgan","Position":"PhD student","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/87e68f3c136343328a507901e8676194","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"GenMorganVet","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"GenMorganVet","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=GenMorganVet","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=GenMorganVet","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"A cross-sectional study investigating the prevalence of antimicrobial-resistant E. coli carriage in dogs fed raw and non-raw diets in the UK","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"00fbcd54-1337-4964-92aa-173af53dc07a","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"b82d0b73-bf7a-46c7-a81d-ca2e487da58b","Html":null,"PlainText":"Objectives:
Raw meat diets (RMD) are increasingly popular for UK-owned dogs. This study investigated carriage of antimicrobial resistant (AMR) E. coli in faeces of dogs fed either RMD or non-raw meat diets (NRMD).

Materials and methods:
Faecal samples from UK-owned dogs were collected October 2020-August 2021. Samples were enriched then plated on Harlequin E. coli/Coliform Agar (HECA) +/- 1µg/ml cefotaxime. Typical E. coli colonies underwent antimicrobial susceptibility testing according to EUCAST guidelines. Extended-spectrum beta-lactamase (ESBL)-producing E. coli were confirmed phenotypically and ESBL resistance genes were identified using PCR and RT-PCR assays.

Results:
In total, 432 faecal samples were tested (193 RMD, 239 NRMD).
There were significant differences (p <0.05) in the presence of E. coli resistant ≥1 antibiotic class, as well as ESBL-producing E. coli, including those with a multidrug-resistant phenotype (MDR, resistance to ≥3 antibiotic classes), between RMD-fed and NRMD-fed dogs. Furthermore, ESBL-producing E. coli carrying bla↓CTX-M, bla↓CTX-M-1 and bla↓CTX-M-15 resistance genes were isolated from a significantly higher proportion of RMD-fed than NRMD-fed dogs (Table 1).

Conclusion:
A significantly higher percentage of ESBL-producing and MDR E. coli were isolated from RMD-fed than NRMD-fed dogs. A quarter of RMD-fed dogs carried ESBL-producing E. coli. Therefore, RMD-fed dogs could present a risk for transmission of zoonotic AMR bacteria, impacting animal and human health. Further work investigating additional risk factors for AMR bacteria carriage/transmission is required. Efforts should be made to increase owner, veterinary and medical staff awareness of the public health concerns regarding RMD.

Keywords: raw, dog, zoonosis, E. coli, AMR


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"b82d0b73-bf7a-46c7-a81d-ca2e487da58b","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eac9319b52d44758b61e09febc95e7a6","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"b82d0b73-bf7a-46c7-a81d-ca2e487da58b","Title":"Miss","FirstName":"Genever","LastName":"Morgan","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Morgan G"},{"PresentationId":"b82d0b73-bf7a-46c7-a81d-ca2e487da58b","Title":"Dr","FirstName":"Gina","LastName":"Pinchbeck","Position":"Reader in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Pinchbeck G"},{"PresentationId":"b82d0b73-bf7a-46c7-a81d-ca2e487da58b","Title":"Dr","FirstName":"Vanessa","LastName":"Schmidt","Position":"Senior Lecturer in Veterinary Dermatology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Schmidt V"},{"PresentationId":"b82d0b73-bf7a-46c7-a81d-ca2e487da58b","Title":"Professor","FirstName":"Nicola","LastName":"Williams","Position":"Professor of Bacterial Zoonotic Disease","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Williams N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b82d0b73-bf7a-46c7-a81d-ca2e487da58b","Number":1,"Affiliation":"University Of Liverpool","City":"Neston","State":"Wirral","Country":"United Kingdom","AffiliationDisplay":"University Of Liverpool, Neston Wirral, United Kingdom"}],"AuthorsHtml":"Morgan G1, Pinchbeck G1, Schmidt V1, Williams N1","AffiliationsHtml":"
1University Of Liverpool, Neston Wirral, United Kingdom
"}],"DisplayName":"Genever Morgan","TimeDisplay":null},{"ContactId":"9c15a762-b51d-453f-b096-a6fc91d5c98c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marie-Pascale","LastName":"Morin","Position":null,"Organization":"Université de Montréal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1bfc00774470443b92bc5878d164b5ed","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A cross-sectional observational study on the vaccination protocols recommended by veterinarians in Quebec dairy herds. ","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"531640e0-95fe-4fc7-899a-3ea55eabb072","Html":null,"PlainText":"Introduction: In-depth knowledge of the vaccination practices of dairy producers is necessary to identify opportunities to improve the prevention and control of the introduction and spread of infectious diseases in dairy herds.
Objective: The objective of this study was to describe the current vaccination practices of Quebec dairy producers.
Material and method: We used a cross-sectional study design based on the electronic data collected as part of a mandatory biosecurity program (ProAction) and describing the standard vaccination procedures. These standard vaccination procedures were completed between December 2016 and January 2021 by dairy producers with their veterinarian. Association between some important demographic variables and vaccination protocols will be investigated using generalized mixed models accounting for clustering of dairy producers by veterinary facilities.
Results: A total of 4152 standard vaccination procedures were compiled. Preliminary results indicated that vaccination against at least one pathogen was performed by 92% (95CI: 91, 93) of producers. Of these producers, 49% vaccinated pre-weaned calves, 91% vaccinated post-weaned calves (3-24 months), and 97% vaccinated mature cows. Most of the producers (90%; 95CI: 89, 91%) reported to vaccinate against respiratory disease/abortion/embryonic mortality, with main targeted pathogens being BRSV-Parainfluenza-Infectious bovine rhinotracheitis (89%), bovine viral diarrhea (88%), Pasteurella multocida (18 %), Mannheimia haemolytica (17%), Histophilus somni (2%), and Mycoplasma bovis (1%). Eighteen percent (95CI: 17, 19%) of producers vaccinated against calf diarrhea (Escherichia coli, rotavirus, and coronavirus) of which 5 % vaccinated pre-weaned calves and 14% vaccinated the dam before calving. Twenty-two percent (95CI: 21, 24%) vaccinated cows against mastitis (E. coli and/or Staphylococcus aureus).
Conclusion: This study is the first to provide information on veterinary recommendations for vaccination in Quebec dairy herds. This study has identified areas for improvement to better prevent infectious diseases and thus reduce the use of treatments, including antimicrobials.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"531640e0-95fe-4fc7-899a-3ea55eabb072","Title":"Miss","FirstName":"Marie-Pascale","LastName":"Morin","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Morin M"},{"PresentationId":"531640e0-95fe-4fc7-899a-3ea55eabb072","Title":"Prof.","FirstName":"Simon","LastName":"Dufour","Position":"Professor of Epidemiology","Affiliations":"1,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Dufour S"},{"PresentationId":"531640e0-95fe-4fc7-899a-3ea55eabb072","Title":"Dr","FirstName":"Gilles","LastName":"Fecteau","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Fecteau G"},{"PresentationId":"531640e0-95fe-4fc7-899a-3ea55eabb072","Title":"Dr","FirstName":"Jean-Philippe","LastName":"Roy","Position":"Full professor","Affiliations":"2,3","IsPresenting":false,"SortOrder":4,"DisplayName":"Roy J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"531640e0-95fe-4fc7-899a-3ea55eabb072","Number":1,"Affiliation":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"CA","AffiliationDisplay":"Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, CA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"531640e0-95fe-4fc7-899a-3ea55eabb072","Number":2,"Affiliation":"Département de sciences cliniques, Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"CA","AffiliationDisplay":"Département de sciences cliniques, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, CA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"531640e0-95fe-4fc7-899a-3ea55eabb072","Number":3,"Affiliation":"Canadian Bovine Mastitis Research Network","City":"Saint-Hyacinthe","State":"QC","Country":"CA","AffiliationDisplay":"Canadian Bovine Mastitis Research Network, Saint-Hyacinthe QC, CA"}],"AuthorsHtml":"Morin M1, Dufour S1,3, Fecteau G2, Roy J2,3","AffiliationsHtml":"
1Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, CA
2Département de sciences cliniques, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, CA
3Canadian Bovine Mastitis Research Network, Saint-Hyacinthe QC, CA
"}],"DisplayName":"Marie-Pascale Morin","TimeDisplay":null},{"ContactId":"33f098a4-878f-4dc3-b427-a32ab8649420","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Paul","LastName":"Morley","Position":"Professor and Research Director","Organization":"Texas A&M University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/514a7f0ee1414172922c811c75dd5363","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Association of Mycoplasma bovis and Mannheimia haemolytica during acute Bovine Respiratory Disease in feedlot cattle","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5ad26c8f-2f0c-4f45-9911-72b319c193ef","Html":null,"PlainText":"Objectives: Bovine respiratory disease (BRD) still causes significant burden to the beef cattle industry. Therefore, the objective of this study was to investigate the association of Mycoplasma bovis and Mannheimia haemolytica during the acute phase of BRD in feedlot cattle.

Materials and methods: nasal swabs from an experiment evaluating the effect of anti-BRSV vaccination on BRD were used for the molecular detection of BRSV, Histophilus somni, M. haemolytica, Pasteurella multocida, and M. bovis via multiplex qPCR assays using TaqMan chemistry. Inverse probability weighted (IPW) logistic regression models were built, in which M. haemolytica prevalence on day 28 post arrival was regressed on M. bovis prevalence on arrival, 7 days and 14 days post arrival. An IPW Cox proportional hazards model to infer the association between time-to-first BRD antibiotic treatment and M. bovis prevalence on arrival, 7 days and 14 days post arrival, was also created.

Results: The presence of M. bovis in nasal swabs on day 7 post arrival was significantly associated with an increase in the prevalence of M. haemolytica on day 28 post arrival (prevalence difference: 0.28; 95% CI: 0.18, 0.38; P value<0.001). Significant time-varying coefficients for M. bovis prevalence were detected in all evaluated time points in the IPW Cox model (P value<0.001). The shortest median time-to-first BRD antibiotic treatment was 29 days in cattle M. bovis positive on day 0, 7, and 14 post arrival and in those positive on day 0 and 14 post arrival.

Conclusion: our findings suggest that M. bovis may be influencing the respiratory environment during the acute phase of BRD, increasing the abundance of M. haemolytica. Therefore, the relevance and dynamics of M. bovis in BRD should be revisited.

Keywords: Mycoplasma bovis, acute BRD, beef cattle, IPW models.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5ad26c8f-2f0c-4f45-9911-72b319c193ef","Title":"Dr.","FirstName":"Robert","LastName":"Valeris-Chacin","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Valeris-Chacin R"},{"PresentationId":"5ad26c8f-2f0c-4f45-9911-72b319c193ef","Title":"MSc.","FirstName":"Sherri","LastName":"Powledge","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Powledge S"},{"PresentationId":"5ad26c8f-2f0c-4f45-9911-72b319c193ef","Title":null,"FirstName":"Taylor","LastName":"McAtee","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"McAtee T"},{"PresentationId":"5ad26c8f-2f0c-4f45-9911-72b319c193ef","Title":"Dr.","FirstName":"Paul","LastName":"Morley","Position":"Professor and Research Director","Affiliations":"3","IsPresenting":true,"SortOrder":4,"DisplayName":"Morley P"},{"PresentationId":"5ad26c8f-2f0c-4f45-9911-72b319c193ef","Title":"Dr.","FirstName":"John","LastName":"Richeson","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Richeson J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5ad26c8f-2f0c-4f45-9911-72b319c193ef","Number":1,"Affiliation":"VERO, Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University","City":"Canyon","State":"TX","Country":"USA","AffiliationDisplay":"VERO, Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, Canyon TX, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5ad26c8f-2f0c-4f45-9911-72b319c193ef","Number":2,"Affiliation":"Department of Agricultural Sciences, Paul Engler College of Agriculture and Natural Sciences, West Texas A&M University","City":"Canyon","State":"TX","Country":"USA","AffiliationDisplay":"Department of Agricultural Sciences, Paul Engler College of Agriculture and Natural Sciences, West Texas A&M University, Canyon TX, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5ad26c8f-2f0c-4f45-9911-72b319c193ef","Number":3,"Affiliation":"VERO, Department of Large Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University","City":"Canyon","State":"TX","Country":"USA","AffiliationDisplay":"VERO, Department of Large Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, Canyon TX, USA"}],"AuthorsHtml":"Valeris-Chacin R1, Powledge S2, McAtee T2, Morley P3, Richeson J2","AffiliationsHtml":"
1VERO, Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, Canyon TX, USA
2Department of Agricultural Sciences, Paul Engler College of Agriculture and Natural Sciences, West Texas A&M University, Canyon TX, USA
3VERO, Department of Large Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, Canyon TX, USA
"},{"Title":"BRD Revisited: Microbial Ecology Provides New Perspective on the Pathogenesis and Epidemiology of Respiratory Disease in Feedlot Cattle","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Html":null,"PlainText":"Objective: Bovine respiratory disease (BRD) is one of the most costly and important diseases affecting cattle. Molecular methods provide a revolutionary means to further our understanding BRD pathogenesis and epidemiology. The purpose of this study was to investigate different types of samples using state-of-the-art genomic sequencing and qPCR to characterize the microbial ecology of the respiratory tract of feedlot cattle in relation to BRD occurrence.

Materials and methods: Cattle at multiple feedlots were enrolled and monitored to detect BRD. Multiple sample types were used to investigate pathogen distribution and microbial ecology of the respiratory tract (samples at different levels of the respiratory tract, ropes, water bowls), and analyzed using culture, qPCR, 16S rRNA gene sequencing and target-enriched shotgun sequencing.

Results: Mannheimia haemolytica (Mh) was recovered 20-60% of cattle, regardless of BRD occurrence, and isolates were commonly multidrug resistant. Molecular detection methods were more sensitive in identifying respiratory pathogens than culture, and all types of respiratory swabs were similarly useful. Mh was also commonly detected by qPCR in environmental samples. Mh detection in individuals was not associated with disease occurrence, regardless of sample or analysis type. The genus Mycoplasma represented an average of ~50-80% of the respiratory microbiome, and was more abundant in cattle that developed BRD.

Conclusion: State-of-the-art sequencing and qPCR provided novel insights that can be used for improving methods for prevention, detection, and treatment of BRD in feedlot cattle.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/178a52ed42944704803bad44adf07597","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Title":"Dr.","FirstName":"William","LastName":"Crosby","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":1,"DisplayName":"Crosby W"},{"PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Title":"Mr.","FirstName":"Lee","LastName":"Pinnell","Position":"Postdoctoral Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Pinnell L"},{"PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Title":"Dr.","FirstName":"Robert","LastName":"Valeris-Chacin","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Valeris-Chacin R"},{"PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Title":"Dr","FirstName":"Sheryl","LastName":"Gow","Position":"Veterinary Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Gow S"},{"PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Title":"Dr.","FirstName":"Amelia","LastName":"Woolums","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Woolums A"},{"PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Title":"Dr.","FirstName":"Paul","LastName":"Morley","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Morley P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Number":1,"Affiliation":"VERO Program, Texas A&M University","City":"Canyon","State":"TX","Country":"USA","AffiliationDisplay":"VERO Program, Texas A&M University, Canyon TX, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Number":2,"Affiliation":"College of Veterinary Medicine, Mississippi State University","City":"Starkville","State":"MS","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine, Mississippi State University, Starkville MS, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7df3c5f6-6f82-4947-8511-defc43f550c9","Number":3,"Affiliation":"Public Health Agency of Canada","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Saskatoon SK, Canada"}],"AuthorsHtml":"Crosby W2, Pinnell L1, Valeris-Chacin R1, Gow S3, Woolums A2, Morley P1","AffiliationsHtml":"
1VERO Program, Texas A&M University, Canyon TX, USA
2College of Veterinary Medicine, Mississippi State University, Starkville MS, USA
3Public Health Agency of Canada, Saskatoon SK, Canada
"},{"Title":"RCTs amidst political controversy – lessons learned","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"159ceae0-0007-4d59-844f-a4d29ba5ae8c","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"12_Special Session Part 1: Randomized control trials and the reality of impact evaluations","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[],"Authors":[{"PresentationId":"dc95ba64-5a09-491c-ac41-f4ecf4c017b3","Title":"Dr.","FirstName":"Paul","LastName":"Morley","Position":"Professor and Research Director","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Morley P"}],"Affiliations":[],"AuthorsHtml":"Morley P","AffiliationsHtml":""}],"DisplayName":"Paul Morley","TimeDisplay":null},{"ContactId":"74aa2765-5cfc-4882-82f9-fe50f0df0747","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lisa","LastName":"Morrow","Position":"Teaching Associate in Veterinary Sciences","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Lisa graduated from the Ontario Veterinary College at the University of Guelph, Canada in 2000 and has a Master’s degree in Veterinary Epidemiology from the Royal Veterinary College and the London School of Hygiene and Tropical Medicine. Prior to training as a vet, she taught and did research and method development in the field of Medical Laboratory Science. Lisa has provided services to and been an employee of Cats Protection in various capacities: providing clinical services as a private practitioner, as Head of Veterinary Services from 2003 - 2005, and as Field Veterinary Officer from 2009-2018. She has also worked at the Royal Veterinary College as a research associate for various contract research projects. In 2018, Lisa joined the team at the University of Nottingham School of Veterinary Medicine and Science. Lisa's professional interests include shelter medicine, clinical epidemiology, evidence-based medicine and feline medicine. She is treasurer of the Association of Charity Vets, and an Associate Editor for Vet Record.

","Presentations":[{"Title":"Co-Presenting: Application of epidemiology into a clinical realm: Teaching absolutes or substitutes?","Bio":"Lisa graduated from the Ontario Veterinary College at the University of Guelph, Canada in 2000 and has a Master’s degree in Veterinary Epidemiology from the Royal Veterinary College and the London School of Hygiene and Tropical Medicine. Prior to training as a vet, she taught and did research and method development in the field of Medical Laboratory Science. Lisa has provided services to and been an employee of Cats Protection in various capacities: providing clinical services as a private practitioner, as Head of Veterinary Services from 2003 - 2005, and as Field Veterinary Officer from 2009-2018. She has also worked at the Royal Veterinary College as a research associate for various contract research projects. In 2018, Lisa joined the team at the University of Nottingham School of Veterinary Medicine and Science. Lisa's professional interests include shelter medicine, clinical epidemiology, evidence-based medicine and feline medicine. She is treasurer of the Association of Charity Vets, and an Associate Editor for Vet Record.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"7773fd23-faf6-43a7-8675-56fdf517823b","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[],"Authors":[{"PresentationId":"d53df0e3-f0f5-4789-a050-a9e2deb3e14b","Title":"Ms","FirstName":"Lisa","LastName":"Morrow","Position":"Teaching Associate in Veterinary Sciences","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Morrow L"}],"Affiliations":[],"AuthorsHtml":"Morrow L","AffiliationsHtml":""},{"Title":"Assessment of the scientific evidence provided in veterinary marketing advertisements","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c9a2d06-6c43-4fa6-9125-05c81bba4053","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.D - Enhanced Veterinary Education / Evidenced-based Veterinary Medicine","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Html":null,"PlainText":"Objective:
To facilitate clinical decision-making, veterinary professionals need to have access to evidence-based information relating to the efficacy of products, both in peer-reviewed literature and marketing material. Whilst the quality of supporting information accompanying device and pharmaceutical advertisements has been studied in human medicine, there are few studies conducted in veterinary medicine. This study aimed to characterize the presence and quality of information provided by manufacturers of prescribed products in the promotional material of two commonly read UK-based veterinary publications.

Materials and methods:
Advertisements from all issues of two veterinary publications between July 2017 and July 2018 were assessed using a data extraction tool. Data extracted included (but was not limited to) publication and issue, product type, business entity, and reference information provided. Data were analysed descriptively, and univariate analysis conducted using chi-squared or Fishers exact tests, corrected for multiple comparisons using the Bonferroni correction.

Results:
In total, 105 issues were assessed; 451 advertisements met the inclusion criteria. The eight most commonly advertised product categories represented 74 products and comprised 81% of all advertisements. Just over a third (36.4%) promoted anti-parasiticide products. Numerous business entities were identified however most marketing came from just 8 companies (71% of all adverts). A minority of citations in the advertisements were from peer-reviewed publications (13.8%), with the majority coming from grey literature publications (22.9%), company contact information (21%) or had no identifiable references (17.6%).

Conclusion:
The results found here suggest that a minority of advertisements are accompanied by references to peer-reviewed literature. If this is reflective of wider veterinary publishing, and given the demand for veterinary advice on products, it is likely insufficient evidence is provided to veterinary professionals via marketing features, limiting accessibility to high quality information.

Keywords:
Evidence-based veterinary medicine; clinical decision-making; peer-reviewed literature; information quality; advertisements
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Title":"Ms","FirstName":"Natasha","LastName":"Basham","Position":"Undergraduate student","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Basham N"},{"PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Title":"Dr","FirstName":"Constance","LastName":"White","Position":"Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"White C"},{"PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Title":"Ms","FirstName":"Simran","LastName":"Floyd","Position":"Undergraduate student","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Floyd S"},{"PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Title":"Ms","FirstName":"Lisa","LastName":"Morrow","Position":"Teaching Associate in Veterinary Sciences","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Morrow L"},{"PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Title":"Dr","FirstName":"Rachel","LastName":"Dean","Position":"Director of Clinical Research and Excellence in Practice","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Dean R"},{"PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Title":"Dr.","FirstName":"Marnie","LastName":"Brennan","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Brennan M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Number":1,"Affiliation":"University Of Nottingham","City":"Loughborough","State":"Leicestershire","Country":"United Kingdom","AffiliationDisplay":"University Of Nottingham, Loughborough Leicestershire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Number":2,"Affiliation":"Oregon State University","City":"Corvallis","State":"Oregon","Country":"USA","AffiliationDisplay":"Oregon State University, Corvallis Oregon, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ade77101-879e-4830-89ab-9b77048acec9","Number":3,"Affiliation":"VetPartners","City":"York","State":"North Yorkshire","Country":"United Kingdom","AffiliationDisplay":"VetPartners, York North Yorkshire, United Kingdom"}],"AuthorsHtml":"Basham N1, White C2, Floyd S1, Morrow L1, Dean R3, Brennan M1","AffiliationsHtml":"
1University Of Nottingham, Loughborough Leicestershire, United Kingdom
2Oregon State University, Corvallis Oregon, USA
3VetPartners, York North Yorkshire, United Kingdom
"}],"DisplayName":"Lisa Morrow","TimeDisplay":null},{"ContactId":"755d6a1a-cab6-4069-ac9e-9283baa526be","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ilana","LastName":"Mosley","Position":"","Organization":"Texas A&M University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Monetary burden of neurocysticercosis-associated epilepsy on a population in Muli County, China","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"459d59c3-5078-4338-99e7-64861d9385ff","Html":null,"PlainText":"
Objective: The objective of this study was to estimate the monetary burden of neurocysticercosis (NCC) with late onset epilepsy on residents of Muli County, China. Muli is an agricultural county in Liangshan Prefecture, Sichuan Province, China where pigs are raised and the zoonotic cestode, Taenia solium, is endemic.

Materials and Methods: Demographic and treatment data were collected from the Muli County Health Insurance Department on cases of late onset epilepsy with a subsequent diagnosis of NCC between 2014-2021. These patients represented Muli County residents that purchased health insurance and received treatment in a public hospital in Sichuan Province. Hospital costs were converted from Chinese renminbi (RMB) to United States dollars (US$) and adjusted for inflation. Individuals with missing hospital information were excluded from analysis. For indirect costs, annual average salary for Liangshan Prefecture working-age adults was obtained to calculate productivity losses based on number of hospitalization days. Transportation costs were evaluated based on estimated bus fare to and from the hospital.

Results: Out of 67 patients identified from 2014-2021, 65 had complete records, of which 47.8% were male (n=32) and the median age at first hospitalization was 37 years. Total estimated cost for these patients was US$197,545. Direct costs contributed 71.4% (US$141,102) and indirect costs were 28.5% (US$56,380) of the total cost. The estimated median cost per case was US$1,890. Individuals with a single hospitalization (n=38) cost a median of US$1,443 and those with multiple hospitalizations (n=27) cost a median of US$3,708.

Conclusions: The median cost per NCC-associated epilepsy case was 18.0% of the average wage for a Liangshan Prefecture resident in 2021. While the study was limited to those with insurance coverage, monetary burden on the local population is likely substantial. Improved local food safety and hand hygiene practices should be encouraged.

Keywords: Neurocysticercosis, China, Zoonotic, Disease burden, Economic
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"459d59c3-5078-4338-99e7-64861d9385ff","Title":"Miss","FirstName":"Ilana","LastName":"Mosley","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mosley I"},{"PresentationId":"459d59c3-5078-4338-99e7-64861d9385ff","Title":"Prof.","FirstName":"Christine","LastName":"Budke","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Budke C"},{"PresentationId":"459d59c3-5078-4338-99e7-64861d9385ff","Title":"Dr","FirstName":"Li","LastName":"Tiaoying","Position":"Doctor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Tiaoying L"},{"PresentationId":"459d59c3-5078-4338-99e7-64861d9385ff","Title":"Dr","FirstName":"Xingwang","LastName":"Chen","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Chen X"},{"PresentationId":"459d59c3-5078-4338-99e7-64861d9385ff","Title":"Dr","FirstName":"Yang","LastName":"Liu","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Liu Y"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"459d59c3-5078-4338-99e7-64861d9385ff","Number":1,"Affiliation":"Texas A&M University Veterinary and Integrative Biosciences","City":"College Station","State":"Texas","Country":"USA","AffiliationDisplay":"Texas A&M University Veterinary and Integrative Biosciences, College Station Texas, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"459d59c3-5078-4338-99e7-64861d9385ff","Number":2,"Affiliation":"Institute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention","City":null,"State":"Chengdu","Country":"China","AffiliationDisplay":"Institute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, Chengdu, China"}],"AuthorsHtml":"Mosley I1, Budke C1, Tiaoying L2, Chen X2, Liu Y2","AffiliationsHtml":"
1Texas A&M University Veterinary and Integrative Biosciences, College Station Texas, USA
2Institute of Parasitic Diseases, Sichuan Center for Disease Control and Prevention, Chengdu, China
"}],"DisplayName":"Ilana Mosley","TimeDisplay":null},{"ContactId":"02d3b738-3ecd-461b-9360-de8761ade7f2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Rebecca","LastName":"Mouncey","Position":"Phd Student","Organization":"Royal Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4b7bbe09842e4dcebd4349b662d6d37b","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Associations between turn out practices and musculoskeletal disease and injury in Thoroughbred foals and yearlings","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"859eae04-48bf-4b3e-8529-38a8d2df6691","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.B - Epidemiologic studies in specific species (Horses)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"288ad298-addb-4ff8-97d5-bf095471253c","Html":null,"PlainText":"Early-life locomotor activity during turn out may alter susceptibility to musculoskeletal disease and injury via modulation of tissue development during growth.
Objectives: Investigate associations between turn out practices and rates of musculoskeletal disease and injury in young Thoroughbreds on UK stud farms.
Methods: Daily records were kept on location and duration of turn out for 134 Thoroughbred foals on six stud farms, from birth until leaving the farm or study exit. Data on veterinary-attended episodes of musculoskeletal disease or injury were collated concurrently. Average daily turn out times (hours) and areas (acres) were calculated for rolling 7- and 30-day periods of foal age. Multivariable Cox regression, including farm as a random effect, was used to investigate associations between turn out practices and musculoskeletal disease and injury.
Results: The incidence of musculoskeletal disease or injury was 5.3 cases/100 foal-months at risk (95% confidence interval (CI) 4.2-6.6). Compared to 24/7 turn out, average daily turn out times of between 9 and 23 hours over a 7-day period were associated with a 4.6-fold increase in musculoskeletal injury rate (95%CI 1.7-12.3; P<0.001), adjusting for farm and area. For each 1 acre increase in the average daily turn out area during the 4th month of life, rates of musculoskeletal disease and injury between 6 and 18 months of age reduced by 30% (hazard ratio 0.70, 95%CI 0.58-0.96; P<0.001), adjusting for farm and time. No interactions between turn out time and area were identified.
Non-random sample of participants may affect generalisability of findings. Use of veterinary-attended events likely underestimates disease/injury rates.
Conclusions: Results suggest that disruptions or alterations to turn out time routines increase injury risk and should be avoided where possible. Turn out in larger paddocks, particularly prior to weaning, may confer protection against subsequent musculoskeletal disease and injury.
Disease; Equine; Exercise; Injury; Musculoskeletal


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"288ad298-addb-4ff8-97d5-bf095471253c","Title":"Dr.","FirstName":"Rebecca","LastName":"Mouncey","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mouncey R"},{"PresentationId":"288ad298-addb-4ff8-97d5-bf095471253c","Title":"Dr","FirstName":"Juan-Carlos","LastName":"Arango-Sabogal","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Arango-Sabogal J"},{"PresentationId":"288ad298-addb-4ff8-97d5-bf095471253c","Title":"Dr","FirstName":"Amanda","LastName":"De Mestre","Position":"Reader in Reproductive Immunology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"De Mestre A"},{"PresentationId":"288ad298-addb-4ff8-97d5-bf095471253c","Title":"Professor","FirstName":"Kristien","LastName":"Verheyen","Position":"Professor of Veterinary Clinical Epidemiology/Head of the Graduate School","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Verheyen K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"288ad298-addb-4ff8-97d5-bf095471253c","Number":1,"Affiliation":"Royal Veterinary College","City":"Hatfield","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, Hatfield Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"288ad298-addb-4ff8-97d5-bf095471253c","Number":2,"Affiliation":"Départément de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal","City":"Montreal","State":"Quebec","Country":"Canada","AffiliationDisplay":"Départément de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Montreal Quebec, Canada"}],"AuthorsHtml":"Mouncey R1, Arango-Sabogal J2, De Mestre A1, Verheyen K1","AffiliationsHtml":"
1Royal Veterinary College, Hatfield Hertfordshire, United Kingdom
2Départément de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Montreal Quebec, Canada
"},{"Title":"Disease occurrence and medication usage in pregnant Thoroughbred broodmares and factors associated with early-life developmental orthopaedic disease in their offspring.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a3ea0e47-4978-4416-8436-c1c45bc2760d","Html":null,"PlainText":"Estimates of disease occurrence and medication usage in pregnant Thoroughbred broodmares are lacking. Developmental orthopaedic disease (DOD) is a common cause of early-life morbidity and mortality in Thoroughbreds and may be associated with mare- and pregnancy-related factors.
Objectives: (i) Describe disease and medication usage in pregnant Thoroughbred broodmares; (ii) Investigate associations between mare- and pregnancy-related factors and early-life DOD in foals.
Methods: Details of veterinary interventions for DOD in the first 6 months of life were recorded on a Thoroughbred birth cohort. Dams’ signalment, breeding history, details of veterinary-attended episodes of disease or injury and medication usage during pregnancy were retrieved from veterinary records. Associations between mare- and pregnancy-related factors and DOD in offspring were assessed using multivariable logistic regression.
Results: Records were available for 275 pregnancies in 235 mares on seven farms over two breeding seasons, during which 34% (n=70/203, 95% confidence interval (CI) 28-41) of mares (with complete veterinary records) suffered at least one veterinary-attended episode of disease or injury and 47% (n=95/203, 95%CI 40-54) received at least one medication. Of the resultant 272 live foals, 22% (n=59/272, 95%CI 17-27) required veterinary intervention for DOD in the first 6 months of life. Odds of DOD decreased by 4% per day increase in gestation length between 314 and 381 days (odds ratio 0.96, 95%CI 0.93-0.99, P=0.01), data were not significantly clustered by farm or mare.
Self-selection of participants may affect generalisability of findings. Use of only veterinary-attended episodes likely underestimates disease occurrence. A limited number of risk factors were evaluated due to missing data.
Conclusions: Disease occurrence and medication usage during pregnancy in Thoroughbred broodmares are common and warrant further investigation. Longer gestation length appears to reduce the odds of early-life DOD, however further work is required to elucidate biological mechanisms behind this association.
Broodmare; Disease; Foal; Gestation; Orthopaedic.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a3ea0e47-4978-4416-8436-c1c45bc2760d","Title":"Dr.","FirstName":"Rebecca","LastName":"Mouncey","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mouncey R"},{"PresentationId":"a3ea0e47-4978-4416-8436-c1c45bc2760d","Title":"Mr.","FirstName":"Juan Carlos","LastName":"Arango Sabogal","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Arango Sabogal J"},{"PresentationId":"a3ea0e47-4978-4416-8436-c1c45bc2760d","Title":"Dr.","FirstName":"Amanda M.","LastName":"de Mestre","Position":"Reader in Reproductive Immunology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"de Mestre A"},{"PresentationId":"a3ea0e47-4978-4416-8436-c1c45bc2760d","Title":"Dr.","FirstName":"Kristien L.","LastName":"Verheyen","Position":"Professor of Veterinary Clinical Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Verheyen K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a3ea0e47-4978-4416-8436-c1c45bc2760d","Number":1,"Affiliation":"Royal Veterinary College","City":"Hatfield","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, Hatfield Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a3ea0e47-4978-4416-8436-c1c45bc2760d","Number":2,"Affiliation":"Départément de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal","City":"Montreal","State":"Quebec","Country":"Canada","AffiliationDisplay":"Départément de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Montreal Quebec, Canada"}],"AuthorsHtml":"Mouncey R1, Arango Sabogal J2, de Mestre A1, Verheyen K1","AffiliationsHtml":"
1Royal Veterinary College, Hatfield Hertfordshire, United Kingdom
2Départément de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Montreal Quebec, Canada
"}],"DisplayName":"Rebecca Mouncey","TimeDisplay":null},{"ContactId":"e0252404-45b8-4d5b-a859-0fcfd4d82bd1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Daniel","LastName":"Muasya","Position":"Phd Candidate","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5a8ae006a28140a3b0e0be06eac8649b","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Bovine viral diarrhea virus antibody response to a single dose of modified live vaccine and associated factors in smallholder dairy cattle in Meru Kenya","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"791f6711-f679-4a3f-a672-0c7df75e4923","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"82ad0966-5226-4dd1-be9e-45275ce3216b","Html":null,"PlainText":"Objectives: Good vaccination response is important in the prevention of bovine viral diarrhea virus (BVDV) where the infection is endemic. BVDV is prevalent in Kenya but there is limited vaccination. Study objectives were to determine: antibody response variability for BVDV vaccination in cows and heifers on smallholder dairy (SHD) farms in Kenya; and factors associated with this vaccination variability in order to guide SHD farmers on strategic vaccination practices.
Materials and methods: This study utilized a single BVDV modified live vaccine injection in 128 non-pregnant cows and 109 heifers over 6 months old. ELISA tests before and three weeks after vaccination determined sample-to-positive (S/P) ratios for BVDV antibody levels. Multivariable linear regression analysis modeling was used to determine factors associated with the change in antibody levels.

Results:Before vaccination, 40.6% and 7.3% of cows and heifers tested positive for BVDV antibodies (S/P ratio > 0.3), respectively. The mean increase in S/P ratio post-vaccination was 0.476 and 0.804 for cows and heifers, respectively. In the final cow model, factors associated with the change in BVDV antibody S/P ratios included: body condition score (BCS), feeding protein supplements, and post-partum disease, along with abnormal physical exam findings and BVDV antibody test status on visit1. There was also an interaction between days in milk, age and feed supplementation. For heifers, factors associated with the change in BVDV antibody S/P ratios included: heifer numbers, acaricide use, communal grazing, and BVDV antibody test status on visit1. There was an interaction between BCS and raising one’s own replacement heifers.
Conclusions:The study recommends planning vaccination against BVDV when: having a good BCS of between 2 and 2.75, using more post-calving supplementation, having good health status during vaccination and ensuring regular ectoparasite control for maximum BVDV vaccine response on SHD farms.
Key words: BVDV, antibody response, SHD, BCS
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"82ad0966-5226-4dd1-be9e-45275ce3216b","Title":"Dr.","FirstName":"Daniel","LastName":"Muasya","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Muasya D"},{"PresentationId":"82ad0966-5226-4dd1-be9e-45275ce3216b","Title":"Prof.","FirstName":"John","LastName":"VanLeeuwen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"VanLeeuwen J"},{"PresentationId":"82ad0966-5226-4dd1-be9e-45275ce3216b","Title":"Dr.","FirstName":"George","LastName":"Gitau","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Gitau G"},{"PresentationId":"82ad0966-5226-4dd1-be9e-45275ce3216b","Title":"Dr","FirstName":"Luke","LastName":"Heider","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Heider L"},{"PresentationId":"82ad0966-5226-4dd1-be9e-45275ce3216b","Title":"Dr.","FirstName":"Shawn","LastName":"McKenna","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"McKenna S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"82ad0966-5226-4dd1-be9e-45275ce3216b","Number":1,"Affiliation":"Health Management, University of Prince Edward Island (UPEI)","City":"Charlottetown","State":"Pirnce Edward Island","Country":"Canada","AffiliationDisplay":"Health Management, University of Prince Edward Island (UPEI), Charlottetown Pirnce Edward Island, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"82ad0966-5226-4dd1-be9e-45275ce3216b","Number":2,"Affiliation":"Clinical Studies, University of Nairobi","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Clinical Studies, University of Nairobi, Nairobi Nairobi, Kenya"}],"AuthorsHtml":"Muasya D1,2, VanLeeuwen J1, Gitau G2, Heider L1, McKenna S1","AffiliationsHtml":"
1Health Management, University of Prince Edward Island (UPEI), Charlottetown Pirnce Edward Island, Canada
2Clinical Studies, University of Nairobi, Nairobi Nairobi, Kenya
"}],"DisplayName":"Daniel Muasya","TimeDisplay":null},{"ContactId":"e5ef8df2-700d-44c1-a640-30630fad3e8e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marion","LastName":"Muehlen","Position":null,"Organization":"World Health Organization","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Marion Muehlen is a consultant at WHO in the Health Emergency Intelligence and Surveillance Systems Division since 2021, supporting applied epidemiology workforce developments. She was born in Brazil, where she studied medicine, and went on to complete an MSc in Tropical Medicine and International Health with a focus on the management and treatment of tropical diseases. During this time, she developed an interest in epidemiology and went on to do the two-year program in intervention epidemiology training at the Robert Koch Institute in Berlin. Upon completion, she was awarded a Marie Skłodowska-Curie fellowship to work with a theoretical epidemiology group on mathematical modelling of infectious disease transmission in Lisbon, Portugal and supported the establishment of a health research center in Angola. In 2008, she became a scientific coordinator of the European Programme in Intervention Epidemiology Training (EPIET), first at the Robert Koch Institute in Germany, then at the Health Protection Agency in the UK, and finally in 2010 at the ECDC in Sweden, where she worked in this position for 10 years. Dr. Muehlen is especially interested in competency-based training programs for applied epidemiology and is a keen supporter of the learning-through-service methodology.

","Presentations":[{"Title":"Developing the Tripartite (FAO/WHO/WOAH) Field Epidemiology One Health Competency Framework ","Bio":"Dr. Marion Muehlen is a consultant at WHO in the Health Emergency Intelligence and Surveillance Systems Division since 2021, supporting applied epidemiology workforce developments. She was born in Brazil, where she studied medicine, and went on to complete an MSc in Tropical Medicine and International Health with a focus on the management and treatment of tropical diseases. During this time, she developed an interest in epidemiology and went on to do the two-year program in intervention epidemiology training at the Robert Koch Institute in Berlin. Upon completion, she was awarded a Marie Skłodowska-Curie fellowship to work with a theoretical epidemiology group on mathematical modelling of infectious disease transmission in Lisbon, Portugal and supported the establishment of a health research center in Angola. In 2008, she became a scientific coordinator of the European Programme in Intervention Epidemiology Training (EPIET), first at the Robert Koch Institute in Germany, then at the Health Protection Agency in the UK, and finally in 2010 at the ECDC in Sweden, where she worked in this position for 10 years. Dr. Muehlen is especially interested in competency-based training programs for applied epidemiology and is a keen supporter of the learning-through-service methodology.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"3cf91aab-335f-4e90-aa43-863c1cf33ce0","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"6_Special Session Part 2: Strengthening Veterinary Epidemiology and One Health Capacity","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Html":null,"PlainText":"Objectives: Recent epidemics and pandemics have shown the need for a multi-sectoral, interdisciplinary epidemiology workforce with a wide range of competencies. Field epidemiologists play a vital role in surveillance, field investigation, preparedness and response to biothreats. We aimed to define One Health (OH) field epidemiology competencies for the public, animal, and environment health sectors at the frontline, intermediate, and advanced levels.
Methods: A joint tripartite (FAO, WHO, WOAH) working group conducted desktop reviews of existing competencies and curricula of field epidemiology training programs (FETPs) and FETPs for veterinarians (FETPVs) to organize them into thematic areas, domains, and subdomains. The group met weekly for 6 months to further elaborate on the set of competencies for each domain/subdomain. We conducted an online survey among existing FETP(V)s to identify and define current FETP(V) competencies. We then developed a new competency framework defining OH competencies for frontline, intermediate and advanced epidemiologists. Specific competencies for public health, veterinary public health, and environmental health were included. We convened a technical advisory group of 59 international stakeholders and experts, including from the environmental sector, meeting remotely over 2 months to review and validate the proposed competencies, add competencies considered missing, and prioritize the identified competencies.
Results: Competencies were grouped into 14 domains with 76 subdomains. More than 300 field epidemiology competencies were identified at frontline level, an additional 280 at intermediate, and another 324 at advanced levels. The TAG suggested merging two domains (Data Analysis and Bioinformatics) and proposed Ecosystem Health as an additional domain.
Conclusion: Given the important roles of epidemiologists in the field, it is essential to ensure that they receive competency-based training associated with their position. Domains and core competencies identified through this collaborative review will be used to propose a progressive curricular pathway for OH field epidemiology competencies at all three levels.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":"Ms.","FirstName":"Marion","LastName":"Muehlen","Position":null,"Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Muehlen M"},{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":"Mrs.","FirstName":"Barbara","LastName":"Alessandrini","Position":"Head","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Alessandrini B"},{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":null,"FirstName":"David","LastName":"Castellan","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Castellan D"},{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":"Ms.","FirstName":"Silvia","LastName":"D'Albenzio","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"D'Albenzio S"},{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":null,"FirstName":"Ravi","LastName":"Dissanayake","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Dissanayake R"},{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":"Ms.","FirstName":"Stacie","LastName":"Dunkle","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Dunkle S"},{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":null,"FirstName":"Julio","LastName":"Pinto","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Pinto J"},{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":"Dr.","FirstName":"Heather","LastName":"Simmons","Position":"Director","Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Simmons H"},{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":null,"FirstName":"Ahmed","LastName":"Zaghloul","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Zaghloul A"},{"PresentationId":"a1347c11-1d73-415b-a1fb-fcf15b7e1b26","Title":"Mr.","FirstName":"Karl","LastName":"Schenkel","Position":"Epidemiologist","Affiliations":null,"IsPresenting":false,"SortOrder":10,"DisplayName":"Schenkel K"}],"Affiliations":[],"AuthorsHtml":"Muehlen M, Alessandrini B, Castellan D, D'Albenzio S, Dissanayake R, Dunkle S, Pinto J, Simmons H, Zaghloul A, Schenkel K","AffiliationsHtml":""}],"DisplayName":"Marion Muehlen","TimeDisplay":null},{"ContactId":"d92640c1-bc26-48b6-b669-f59557aa8d48","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ranya","LastName":"Mulchandani","Position":"","Organization":"ETH Zürich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Mapping trends in antimicrobial resistance in food animals in Europe between 2000 and 2021","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a1e1cd1d-6619-4ecf-9d28-05e2eb0547c3","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.E - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"48fca2cb-7eec-4ee0-ad3e-a6ac876bc3b8","Html":null,"PlainText":"Objective(s)
Antimicrobial resistance (AMR) is a growing threat to animal and human health. In Europe systematic surveillance networks have been in place for decades but only provide an overview of AMR trends at national level. Sub-national maps could help identify geographic patterns of resistance between regions or within countries. Here, we disaggregate trends in AMR in animals at 10 x 10 kilometers in 32 European countries.

Materials & Methods
We mapped AMR prevalence in non-typhoidal Salmonella, Campylobacter and Escherichia coli in cattle, pigs, and poultry. We combined the prevalence of AMR estimated at country-level (European Food Safety Authority) with prevalence of AMR sampled at individual locations. Prevalence of AMR at individual locations were extracted from point prevalence surveys. A map of AMR prevalence was generated by stacking predictions from boosted regression trees, LASSO regression, and generalized additive model. Trends in AMR were summarized using P50: the proportion of antimicrobial compounds with resistance higher than 50%.

Results
We identified 348 point prevalence surveys reporting 7,911 AMR prevalence estimates at individual locations, and 29,967 AMR rates at country-level. The highest AMR levels were identified in North-Eastern Spain (Aragon, Navarra, Castilla la Mancha), Eastern and Western Romania (Crișana, Moldova), and Northern Hungary (Figure 1).

Conclusion
Combining country-levels estimates with point prevalence surveys showed contrasted geographic patterns of AMR within countries and between regions.

Figure 1. a) Locations of point prevalence surveys, with size of circles representing number of isolates (log10) and colour depicting P50. b) Predicted distribution of P50 across 32 European countries.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"48fca2cb-7eec-4ee0-ad3e-a6ac876bc3b8","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fe3824fed35144babad87c36eedfae5f","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"48fca2cb-7eec-4ee0-ad3e-a6ac876bc3b8","Title":"Miss","FirstName":"Ranya","LastName":"Mulchandani","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mulchandani R"},{"PresentationId":"48fca2cb-7eec-4ee0-ad3e-a6ac876bc3b8","Title":"Ms","FirstName":"Cheng","LastName":"Zhao","Position":"PhD Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Zhao C"},{"PresentationId":"48fca2cb-7eec-4ee0-ad3e-a6ac876bc3b8","Title":"Ms","FirstName":"Katie","LastName":"Tiseo","Position":"Research Assistant","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Tiseo K"},{"PresentationId":"48fca2cb-7eec-4ee0-ad3e-a6ac876bc3b8","Title":"Dr","FirstName":"Thomas P. ","LastName":"Van Boeckel","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Van Boeckel T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"48fca2cb-7eec-4ee0-ad3e-a6ac876bc3b8","Number":1,"Affiliation":"Health Geography and Policy, ETH Zürich","City":"Zürich","State":null,"Country":"Switzerland","AffiliationDisplay":"Health Geography and Policy, ETH Zürich, Zürich, Switzerland"}],"AuthorsHtml":"Mulchandani R1, Zhao C1, Tiseo K1, Van Boeckel T1","AffiliationsHtml":"
1Health Geography and Policy, ETH Zürich, Zürich, Switzerland
"}],"DisplayName":"Ranya Mulchandani","TimeDisplay":null},{"ContactId":"33e940c1-99b1-4211-9e4a-c055301cbe8e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Dishon","LastName":"Muloi","Position":"Research Fellow","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Population genomics of Escherichia coli in livestock-keeping households across a rapidly developing urban landscape","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"9404666d-fc4b-4fd8-8838-19254ba86308","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Html":null,"PlainText":"Background and objectives
The keeping of livestock has been posited as a risk factor for the emergence of zoonoses and the spread of antimicrobial resistance. However, quantitative evidence regarding the major sources of pathogenic and drug-resistant bacteria and transmission routes between hosts remains lacking.
Materials and methods
In the largest epidemiological study of this nature to date, we sampled Escherichia coli from humans, livestock and peri-domestic wildlife in 99 households across Nairobi, Kenya to gain a deeper understanding of sharing of bacteria among hosts and potential reservoirs. By analysing whole genome sequencing data from 1,338 E. coli isolates, we reconstruct sharing patterns for the sampled E. coli and its antimicrobial resistance determinants.
Results
We find that the diversity and sharing patterns of E. coli is heavily structured by household, which is the primary epidemiological interface for bacterial strain sharing. Strain sharing within households was strongly shaped by host type. We also find evidence for inter-household and inter-host sharing, and importantly, between humans and animals, although this occurs much less frequently. We find similar strain sharing patterns for the E. coli accessory genome, suggesting that it is shaped by recent evolutionary history and is strongly associated with the core genome. Resistome similarity, however, were quite differently distributed across host and household, consistent with their being driven by shared exposure to antimicrobials. Our results indicate that a large, epidemiologically structured sampling framework such as the one employed in this study is needed to uncover strain sharing events between humans and livestock.
Conclusion
We demonstrate that the use of large-scale whole genome sequencing of bacteria can indicate the pathways that contribute the most to the exchange of microbes between different host populations in complex environments, pathways that ultimately drive the emergence of zoonoses and the spread of antimicrobial resistance.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Title":"Dr.","FirstName":"Dishon","LastName":"Muloi","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Muloi D"},{"PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Title":"Dr","FirstName":"Bryan","LastName":"Wee","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Wee B"},{"PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Title":"Dr","FirstName":"Deirdre","LastName":"McClean","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"McClean D"},{"PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Title":"Prof","FirstName":"Sam","LastName":" Kariuki","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":" Kariuki S"},{"PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Title":"Prof","FirstName":"Mark","LastName":"Woolhouse","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Woolhouse M"},{"PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Title":"Prof","FirstName":"Eric ","LastName":"Fèvre","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":6,"DisplayName":"Fèvre E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Number":1,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Number":2,"Affiliation":"University of Edinburgh","City":"Edinburgh","State":"Edinburgh","Country":"Kenya","AffiliationDisplay":"University of Edinburgh, Edinburgh Edinburgh, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Number":3,"Affiliation":"University of Liverpool","City":"Liverpool","State":"Liverpool","Country":"United Kingdom","AffiliationDisplay":"University of Liverpool, Liverpool Liverpool, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f754741e-0cad-45c1-933e-b0ca2dcf34a8","Number":4,"Affiliation":"Kenya Medical Research Institute","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Kenya Medical Research Institute, Nairobi Nairobi, Kenya"}],"AuthorsHtml":"Muloi D1,2, Wee B2, McClean D2, Kariuki S4, Woolhouse M2, Fèvre E1,3","AffiliationsHtml":"
1International Livestock Research Institute, Nairobi Nairobi, Kenya
2University of Edinburgh, Edinburgh Edinburgh, Kenya
3University of Liverpool, Liverpool Liverpool, United Kingdom
4Kenya Medical Research Institute, Nairobi Nairobi, Kenya
"}],"DisplayName":"Dishon Muloi","TimeDisplay":null},{"ContactId":"5d1e4492-7303-4261-8f26-d38134a9bccc","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Violeta","LastName":"Muñoz-Gómez","Position":"Phd Student","Organization":"University of Zurich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Burden of diseases and other causes of morbidity or mortality in backyard chicken farms in low-income and middle-income countries: A systematic literature review","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"10a6b6d2-a93f-4de9-9dcd-59692a20232a","Html":null,"PlainText":"Objectives: To estimate the burden of diseases and other causes of morbidity or mortality in backyard chicken farms in low-income and middle-income countries.
Material and methods: Systematic literature review following the PRISMA guidelines. A protocol was developed including a search strategy with appropriate key words and inclusion and exclusion criteria. The literature review was restricted (1981-2021) and included 10 languages. The review is focused on backyard farms (including free-roaming chicken) and low biosecurity commercial farms (sectors 3,4 from FAO classification). Outcomes of interest included economic impact, production parameters, gross margin, prevalence, and sample size. Guidelines were provided to collaborators ensuring consistency in the review and data extraction processes. The review process involved a restricted number of people, and ambiguities will be dealt by reaching consensus. A quantitative meta-analysis will be conducted, and studies will be assessed using a qualitative criteria assessment. Only prevalence results are included here.
Results: More than 23,000 studies were screened, and 67 studies have been selected so far. Although the screening process has not been finalised yet, preliminary analyses show that most of collected prevalence data reflect parasite prevalence (37.9%), followed by predation (18.4%), viral diseases (18.4%), malnutrition (6.9%), bacteria diseases (6.9%), weather conditions (4.6%), injuries (3.4%) and, mixed diseases, mismanagement and fungus (3.4%). Regarding viral diseases, preliminary meta-analysis results suggest a pooled prevalence of 64.9% (95%CI:43.6-86.2) for Avian influenza virus and 23.4%(95%CI:0-50.8) for Newcastle disease. For predation, the pooled prevalence was 25.7% (95%CI:11.9-39.5). Concerning parasites, the estimated pooled prevalence for Heterakis spp was 58.9% (95%CI:13.4-100) and 35.8%(95%CI:7-64.6) for Ascaridida spp.
Conclusion: As part of the GBADs programme, results from this study will help to identify main causes of diseases burden and mortality in backyard chicken from low-income and middle-income countries and, will inform decision-makers on disease control.
Keywords: GBADs, disease burden, backyard, small-holder, chicken
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"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10a6b6d2-a93f-4de9-9dcd-59692a20232a","Number":3,"Affiliation":"The London School of Hygiene and Tropical Medicine","City":null,"State":null,"Country":"United Kingdom","AffiliationDisplay":"The London School of Hygiene and Tropical Medicine, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10a6b6d2-a93f-4de9-9dcd-59692a20232a","Number":4,"Affiliation":"University of Lisbon","City":null,"State":null,"Country":"Portugal","AffiliationDisplay":"University of Lisbon, Portugal"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10a6b6d2-a93f-4de9-9dcd-59692a20232a","Number":5,"Affiliation":"University of Prince Edward Island","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"University of Prince Edward Island, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10a6b6d2-a93f-4de9-9dcd-59692a20232a","Number":6,"Affiliation":"Federal Food Safety and Veterinary Office","City":null,"State":null,"Country":"Switzerland","AffiliationDisplay":"Federal Food Safety and Veterinary Office, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10a6b6d2-a93f-4de9-9dcd-59692a20232a","Number":7,"Affiliation":"The Commonwealth Scientific and Industrial Research Organisation (CSIRO)","City":null,"State":null,"Country":"Australia","AffiliationDisplay":"The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10a6b6d2-a93f-4de9-9dcd-59692a20232a","Number":8,"Affiliation":"Food Agriculture Organization (FAO)","City":null,"State":null,"Country":"Italy","AffiliationDisplay":"Food Agriculture Organization (FAO), Italy"}],"AuthorsHtml":"Muñoz-Gómez V1, Shaw A2, Abdykerimov K1, Abo-Shehada M3, Bulbuli F4, Charypkhan D1, Delphino M5, Léger A6, Li Y7, Rasmussen P1, Rittem S1, Vosough Ahmadi B8, Torgerson P1","AffiliationsHtml":"
1Vetsuisse Faculty, Epidemiology Section, University of Zurich, Switzerland
2University of Edinburgh, United Kingdom
3The London School of Hygiene and Tropical Medicine, United Kingdom
4University of Lisbon, Portugal
5University of Prince Edward Island, Canada
6Federal Food Safety and Veterinary Office, Switzerland
7The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
8Food Agriculture Organization (FAO), Italy
"}],"DisplayName":"Violeta Muñoz-Gómez","TimeDisplay":null},{"ContactId":"d4f8249a-7e4f-4c55-b539-87083231932c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lohendy","LastName":"Muñoz-Vargas","Position":"Professor","Organization":"Universidad Nacional","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Genomic diversity and antimicrobial resistance of Salmonella across humans, productive animals, wildlife, and food in Costa Rica","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3444e93f-520e-4c61-a80c-376f1d32b798","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"2fb8b247-2139-4a48-a2af-792c9f671433","Html":null,"PlainText":"The establishment of bioinformatic tools required for big data analysis represents a challenge in developing countries. Thus, integrated efforts from multidisciplinary teams are almost mandatory in order to elucidate scientific questions associated to microorganisms with relevant impact for the public and animal health.
This project aimed 1) to determine the genetic relatedness, serotypes, and antimicrobial resistance genes of non-typhoidal Salmonella enterica recovered from human cases, productive animals, wildlife, food, and feedstuff; and 2) to enhance the bioinformatic platform at national capabilities throughout personnel training and script validation.
A whole genome sequencing of 116 Salmonella strains was conducted using the Sanger platform, following by a script standardization at National Center for High Technology in Costa Rica. The strains were provided by three universities and two national reference laboratories. All genomes were exposed to phylogenetic reconstruction and analyzed for antibiotic resistance genes and plasmids presence using CARD, ResFinder, PlasmidFinder and ARIBA databases. The SNPs alignment was used for maximum likelihood phylogenetic reconstruction, and data visualization was facilitated by Figtree and microreact.
Resistome analysis depicted genes conferring resistance to aminoglycosides, fluoroquinolones, and streptomycin in more than 87% of Salmonella genomes, and less than 5% of genotypes showed resistance against β-lactams, macrolides and tetracycline. High genetic relatedness between S. 4,5,12:i:- strains recovered from human clinical cases and wildlife was observed, suggesting transmission due to high proximity of wild animals into peri-urban areas. Several clusters based on location and serotypes were detected from a diversity of sample types, S. Panama from food, animals, human cases and wildlife; and S. Enteritidis from human cases and food.
The emergence of antimicrobial resistance in promiscuous pathogens such as Salmonella is a major concern globally. High technology enhances its understanding and strengthens strategies to prevent this microorganism dissemination between humans, animals, and environment integrally under the One Health approach.
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1PIET, Escuela de Medicina Veterinaria, Universidad Nacional, Costa Rica, Heredia, Costa Rica
2Centro Nacional de Alta Tecnología, Costa Rica, San José, Costa Rica
3Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Perú
4Wellcome Trust, Sanger Institute, Cambridge, UK
"}],"DisplayName":"Lohendy Muñoz-Vargas","TimeDisplay":null},{"ContactId":"93363823-4f5d-4093-9c4f-4265c7118890","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Yoshinori","LastName":"Murato","Position":"","Organization":"National Agriculture And Food Research Organization","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Region-wise analysis of dairy and beef cow movements in Japan","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"14dc2618-9d85-4e8c-808b-8bd283455aa6","Html":null,"PlainText":"1. Objectives
The movement of animals is an important factor in transmitting infectious diseases among farms. This information is essential for predicting the spread of the disease and developing effective disease control measures. In Japan, all cattle movement is recorded in the national database. In this study, we analyzed between-farm movements of dairy and beef cows in Japan at the regional level to elucidate the differences in cow type, region, season, etc.

2. Materials and methods
For dairy cows, 4,577,709 between-farm movement data over 14 years from FY2005 (FY stands for the Japanese fiscal year, which starts April 1 and ends March 31 of the following year) to FY2018, and for beef cows, 2,173,969 between-farm movement data over 13 years from FY2005 to FY2017, along with information on the respective cattle and facilities, were obtained from the National Livestock Breeding Center. After connecting　information on cattle and facilities to each movement, the number of movements was analyzed as an intra- and inter-regional basis by dividing the national territory into seven regions.

3. Results
Intra-regional movement accounted for 82% and 91% of all movements of dairy and beef cows, respectively. For intra-regional movement, seasonal roundtrips associated with summer grazing beginning in May until October were observed in northern Japan such as Hokkaido and Tohoku in both dairy and beef cows. Regarding inter-regional movement, roundtrips of dairy cows to cattle-breeding ranches in Hokkaido were observed. Meanwhile, such movement was not observed in beef cows.

4. Conclusion
The study revealed seasonal and regional heterogeneity in cattle movements patterns, which may be reflecting the country widely distributed north to south and has a variety of climates. Understanding the characteristics of such movements will help develop more reliable disease transmission models and effective disease control measures.

Keywords: cattle movement, dairy, beef, Japan","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"14dc2618-9d85-4e8c-808b-8bd283455aa6","Title":"Mr.","FirstName":"Yoshinori","LastName":"Murato","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Murato Y"},{"PresentationId":"14dc2618-9d85-4e8c-808b-8bd283455aa6","Title":"Mr.","FirstName":"Kotaro","LastName":"Sawai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Sawai K"},{"PresentationId":"14dc2618-9d85-4e8c-808b-8bd283455aa6","Title":"Dr.","FirstName":"Emi","LastName":"Yamaguchi","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Yamaguchi E"},{"PresentationId":"14dc2618-9d85-4e8c-808b-8bd283455aa6","Title":"Ms.","FirstName":"Sonoko","LastName":"Kondo","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Kondo S"},{"PresentationId":"14dc2618-9d85-4e8c-808b-8bd283455aa6","Title":"Dr.","FirstName":"Yoko","LastName":"Hayama","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Hayama Y"},{"PresentationId":"14dc2618-9d85-4e8c-808b-8bd283455aa6","Title":"Mr.","FirstName":"Takehisa","LastName":"Yamamoto","Position":"Deputy Leader","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Yamamoto T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"14dc2618-9d85-4e8c-808b-8bd283455aa6","Number":1,"Affiliation":"National Agriculture And Food Research Organization","City":"Tsukuba","State":"Ibaraki","Country":"Japan","AffiliationDisplay":"National Agriculture And Food Research Organization, Tsukuba Ibaraki, Japan"}],"AuthorsHtml":"Murato Y1, Sawai K1, Yamaguchi E1, Kondo S1, Hayama Y1, Yamamoto T1","AffiliationsHtml":"
1National Agriculture And Food Research Organization, Tsukuba Ibaraki, Japan
"}],"DisplayName":"Yoshinori Murato","TimeDisplay":null},{"ContactId":"263322ca-7844-4d8e-9054-733ffe6c4b7a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Florence","LastName":"Mutua","Position":"Scientist","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Antimicrobial use in a peri-urban smallholder poultry system, Kenya ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Html":null,"PlainText":"Objective(s): Analyze distribution and current usage of veterinary drugs in peri-urban smallholder poultry systems, Kenya
Materials and methods: Machakos and Kajiado counties were purposively selected for the study. A baseline survey involving poultry farmers was conducted. Additional data were collected through key informant interviews (KII). The questionnaire data were electronically captured using open data kit, downloaded as a MS Excel® file, and cleaned. The data were analyzed using both descriptive and thematic approaches.
Results: A total of 100 farmers were interviewed. Majority (58%) were >50 years old and kept chicken (100%), ducks (17%) and turkeys (16%). Methods for drug package disposal included burning (65%), burying (10%), and in pit latrines (9%). Sharing of same drugs across livestock species was reported (11 of the 66 farmers who kept other livestock). A small percentage (9%) mentioned using drugs intended for humans in animal treatment. Antibiotics constituted 47% of the total drug records used by farmers (n=347); 24% were used within the previous one month (24%) and had been administered by farmers themselves (90%). Challenges associated with the distribution, access and disposal of veterinary products were highlighted by KII respondents.
Conclusion: Non-prudent use of antimicrobials is a driver for development of antimicrobial resistance (AMR) which has serious public health implications. This project is developing an ICT framework to improve AMU monitoring and address the current information gap on AMR.

Key words: Antimicrobial use; Antimicrobial resistance; smallholder poultry systems ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Title":"Ms.","FirstName":"Florence","LastName":"Mutua","Position":"Scientist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Mutua F"},{"PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Title":null,"FirstName":"Gideon","LastName":"Kiarie","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Kiarie G"},{"PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Title":"Dr","FirstName":"Miriam","LastName":"Mbatha","Position":"Graduate student","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mbatha M"},{"PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Title":"Dr","FirstName":"Joshua","LastName":"Onono","Position":"Senior Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Onono J"},{"PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Title":"Prof","FirstName":"Sofia","LastName":"Boqvist","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Boqvist S"},{"PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Title":"Dr.","FirstName":"Emily","LastName":"Kilonzi","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Kilonzi E"},{"PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Title":"Dr.","FirstName":"Johanna","LastName":"Lindahl","Position":"Senior scientist and Professor","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Lindahl J"},{"PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Title":"Prof","FirstName":"Susanna","LastName":"Sternberg Lewerin","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":8,"DisplayName":"Sternberg Lewerin S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Number":1,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Number":2,"Affiliation":"University of Nairobi, Faculty of Veterinary Medicine ","City":"Nairobi","State":"Nairobi ","Country":"Kenya ","AffiliationDisplay":"University of Nairobi, Faculty of Veterinary Medicine , Nairobi Nairobi , Kenya "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bfd404f1-c2e4-401f-a12f-9c2a30111241","Number":3,"Affiliation":"Swedish University of Agricultural Sciences","City":"Upsala","State":"Upsala","Country":"Sweden ","AffiliationDisplay":"Swedish University of Agricultural Sciences, Upsala Upsala, Sweden "}],"AuthorsHtml":"Mutua F1, Kiarie G1, Mbatha M2, Onono J2, Boqvist S3, Kilonzi E1, Lindahl J1, Sternberg Lewerin S3","AffiliationsHtml":"
1International Livestock Research Institute, Nairobi Nairobi, Kenya
2University of Nairobi, Faculty of Veterinary Medicine , Nairobi Nairobi , Kenya
3Swedish University of Agricultural Sciences, Upsala Upsala, Sweden
"}],"DisplayName":"Florence Mutua","TimeDisplay":null},{"ContactId":"421bbdb4-d619-4002-ab9c-2bf3debf40f2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Clémence","LastName":"Nadal","Position":"","Organization":"Anses","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Eco-epidemiology of equine piroplasmosis in French draft horses in an area of high pathogen circulation","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"859eae04-48bf-4b3e-8529-38a8d2df6691","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.B - Epidemiologic studies in specific species (Horses)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Html":null,"PlainText":"Objectives: For vector-borne diseases, an ‘eco-epidemiological’ approach is essential to better understand the relationships between the pathogen, the hosts, the vectors and the environment, as well as to allow the determination of risk factors with limited bias, and therefore develop appropriate measures of surveillance, prevention or control. Thus, our objective was to study the eco-epidemiology of Babesia caballi and Theileria equi infections responsible for equine piroplasmosis in French draft horses, and for which very few multivariate studies were conducted up to now.

Materials and methods: From April to May 2021, we collected blood samples and ticks from 146 draft horses randomly selected from 38 farms, located in four departments in the Center and South-East of France. Studied areas were chosen due to a high circulation of B. caballi and T. equi, a high density of draft horses, and heterogeneous environmental conditions. Pathogen detection was performed by PCR on both collected ticks and blood samples, the latter also being tested for the presence of antibodies against each parasite by ELISA tests. Data related to environment (altitude, vegetation type, and climate), breeding practices (vaccination status, parasite control…), and individual horse characteristics (breed, age, sex) were collected. Risk factors were determined through generalized linear models.

Results: 14.4% and 50.7% of horses had a positive PCR result and 58.9% and 37.2% were seropositive against B. caballi and T. equi, respectively. Nine hundred and nine ticks were collected on the 146 horses, with a median of 1 (range 0-151) tick per horse. Analyses of risk factors related to individual and environmental parameters, breeding practices, tick infestation and infection are under analysis.

Conclusion: The identification of potentially relevant risk factors will provide both recommendations for limiting infections in horses and the implementation of targeted methods against equine piroplasmosis infections.

Keywords: eco-epidemiology, equine piroplasmosis, tick, risk factors
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Title":"Ms.","FirstName":"Clémence","LastName":"Nadal","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Nadal C"},{"PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Title":"Ms.","FirstName":"Claire","LastName":"Chanet","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Chanet C"},{"PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Title":"Ms.","FirstName":"Claire","LastName":"Delaunay","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Delaunay C"},{"PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Title":"Mr.","FirstName":"Pierre-Hugues","LastName":"Pitel","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Pitel P"},{"PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Title":"Ms.","FirstName":"Sarah","LastName":"Bonnet","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Bonnet S"},{"PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Title":"Ms.","FirstName":"Maud","LastName":"Marsot","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Marsot M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Number":1,"Affiliation":"Anses, Laboratory for Animal Health, Epidemiology Unit","City":"Maisons-Alfort","State":null,"Country":"France","AffiliationDisplay":"Anses, Laboratory for Animal Health, Epidemiology Unit, Maisons-Alfort, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Number":2,"Affiliation":"INRAE, Anses, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR","City":"Maisons-Alfort","State":null,"Country":"France","AffiliationDisplay":"INRAE, Anses, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Maisons-Alfort, France"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d4075b34-84cd-4164-a152-1f19292c95df","Number":3,"Affiliation":"LABEO Frank Duncombe","City":"Saint Contest","State":null,"Country":"France","AffiliationDisplay":"LABEO Frank Duncombe, Saint Contest, France"}],"AuthorsHtml":"Nadal C1,2, Chanet C1, Delaunay C1, Pitel P3, Bonnet S2, Marsot M1","AffiliationsHtml":"
1Anses, Laboratory for Animal Health, Epidemiology Unit, Maisons-Alfort, France
2INRAE, Anses, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Maisons-Alfort, France
3LABEO Frank Duncombe, Saint Contest, France
"}],"DisplayName":"Clémence Nadal","TimeDisplay":null},{"ContactId":"b9d54ef6-0ce4-49b8-998f-31d0c2e616e6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Katlego","LastName":"Ndlovu","Position":"Postgraduate student","Organization":"North West University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Detection and quantification of antibiotic residues in communal goat's milk in Mafikeng Local Municipality, South Africa","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0d18d179-590e-43b5-923e-48e6fc38974b","Html":null,"PlainText":"1. Objective(s)
Detect and quantify the presence of antibiotic residues in goat’s raw milk.
Evaluate the awareness levels of farmers on the use and misuse of antibiotics.
2. Materials and methods
Hundred (100) goat farmers were interviewed using a questionnaire on handling and use of veterinary drugs. Simultaneously, 266 goat raw milk samples were collected. The samples were screened for the presence of amoxicillin, tetracycline, sulfamethazine, erythromycin and streptomycin residues using the Enzyme-Linked Immunosorbent Assay (ELISA) and High-Perfomance Liquid Chromatography (HPLC).
3. Results
All farmers (100%) were found to be using veterinary antimicrobials in animal farming.The majority (56%) of them reported that they use antibiotics only when their animals are sick or showing signs of infection. All (100%) participants responded positively when asked about antibiotics guidelines. However, 11% of them were not concerned about the correct dosage, 4% lacked knowledge on the route of administration, and 10% did not know the duration of therapy. ELISA results showed that erythromycin, sulfamethazine, and amoxicillin exceeded the accepted Maximum Residual Levels (MRLs) established by Codex Alimentarius in 94.7%, 82.3%, and 35.3% of analyzed samples, respectively. Tetracycline was present in all (100%) analyzed samples, and streptomycin was detected in 18.7% of samples; however, these results were below the established standards. Furthermore, the HPLC method showed that 90% of milk samples analyzed were positive for streptomycin and 40% for tetracycline, but these values were below the accepted MRLs. Approximately 76.6% of samples confirmed to be exceeding the established MRL for sulfamethazine and 10% for erythromycin. Unfortunately, amoxicillin was not detected in the HPLC method.
4. Conclusion
Data on this study suggests that the is a need to increase awareness on the presence of antibiotic residues in animal food origin and its possible public health implications.

Keywords: ELISA, HPLC, MRLs, Goat's milk, Antibiotic residues

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0d18d179-590e-43b5-923e-48e6fc38974b","Title":"Miss","FirstName":"Katlego","LastName":"Ndlovu","Position":"Postgraduate student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ndlovu K"},{"PresentationId":"0d18d179-590e-43b5-923e-48e6fc38974b","Title":"Dr","FirstName":"Lubanza","LastName":"Ngoma","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ngoma L"},{"PresentationId":"0d18d179-590e-43b5-923e-48e6fc38974b","Title":"Prof","FirstName":"Mulunda","LastName":"Mwanza","Position":"HOD","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Mwanza M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0d18d179-590e-43b5-923e-48e6fc38974b","Number":1,"Affiliation":"Animal Health Department, North West University","City":"Mafikeng","State":"North West Province","Country":"South Africa","AffiliationDisplay":"Animal Health Department, North West University, Mafikeng North West Province, South Africa"}],"AuthorsHtml":"Ndlovu K1, Ngoma L1, Mwanza M1","AffiliationsHtml":"
1Animal Health Department, North West University, Mafikeng North West Province, South Africa
"}],"DisplayName":"Katlego Ndlovu","TimeDisplay":null},{"ContactId":"ecc043f6-8526-496c-a642-416a9ce19956","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tandile","LastName":"Ndobeni","Position":"Veterinarian","Organization":"University of Pretoria","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2b8426b2391e455ea3aea82b1ac165eb","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Prevalence and factors associated with Salmonella species in mechanically deboned poultry meat imported into South Africa","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"ce8286a6-6258-413f-8bc9-430d7ce0277e","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.E - Food Safety","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"146ddf10-0b34-4c1c-b6fa-205a38dddae0","Html":null,"PlainText":"Objective: This study investigated the prevalence of Salmonella in mechanically deboned poultry meat imported into South Africa.

Materials and Method: This study uses secondary data of mechanically deboned poultry meat consignments imported and tested for Salmonella species between 2016 and 2017. The proportion of Salmonella positive consignments and their 95% confidence interval based on country of origin, month, season, and importer were calculated. A logistic regression model was fit to data to assess associations between the predictor variables and the outcome of Salmonella status.

Results: A total of 7987 of mechanically deboned poultry meat consignments were imported over the study period, 5636 (70.56%) were tested and 830 (14.73%) tested positive for Salmonella species. The odds of mechanically deboned poultry meat testing positive for Salmonella spp. was significantly higher among consignments from Country-A (OR:1.851, p=0.0030) and Country-B (OR: 3.887, p < 0.0001) compared to “All others”. Autumn (OR: 1.512, p < 0.0001), spring (OR: 0.771, p = 0.0005), summer (OR: 0.847, p = 0.0133) had significantly higher odds of consignments testing positive for Salmonella when compared to winter season. Consignments imported in 2016 were 1.563 times (p < 0.0001) as likely to test positive for Salmonella when compared to consignments imported in 2017. Importer-I (OR: 0.275, <0.0001) and Importer-III (OR: 0.593, <0.0001) compared to “All others” had lower odds of importing mechanically deboned poultry meat consignment positive for Salmonella species.

Discussion and Recommendations: Salmonella species were isolated from mechanically deboned poultry meat consignments in this study suggest that the risk of importing contaminated consignment exists. In addition, the odds of importing a Salmonella positive consignment differed significantly based on the country of origin, the type of importer and the time of importation. Therefore, efforts to mitigate the risk including monitoring and controlling Salmonella must be continued.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"146ddf10-0b34-4c1c-b6fa-205a38dddae0","Title":"Dr.","FirstName":"Tandile","LastName":"Ndobeni","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ndobeni T"},{"PresentationId":"146ddf10-0b34-4c1c-b6fa-205a38dddae0","Title":"Dr","FirstName":"Kudakwashe","LastName":"Magwedere","Position":"Veterinarian","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Magwedere K"},{"PresentationId":"146ddf10-0b34-4c1c-b6fa-205a38dddae0","Title":"Prof","FirstName":"Nenene","LastName":"Qekwana","Position":"HOD","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Qekwana N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"146ddf10-0b34-4c1c-b6fa-205a38dddae0","Number":1,"Affiliation":"Gauteng Department Of Agriculture And Rural Development","City":"Vereeniging","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Gauteng Department Of Agriculture And Rural Development, Vereeniging Gauteng, South Africa"}],"AuthorsHtml":"Ndobeni T1, Magwedere K, Qekwana N","AffiliationsHtml":"
1Gauteng Department Of Agriculture And Rural Development, Vereeniging Gauteng, South Africa
"}],"DisplayName":"Tandile Ndobeni","TimeDisplay":null},{"ContactId":"22de0a57-def3-4c2c-8830-f211fa8f32b6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Caroline","LastName":"Nedrelid","Position":"PhD Student","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The veterinarians’ perspective regarding pasture parasites in Norwegian sheep and cattle, a questionnaire study","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"20804dd1-9121-4ec7-807a-8579fd6d479e","Html":null,"PlainText":"Keywords: Questionnaire, veterinarians, pasture parasites, sheep, cattle

The objective of this study was to investigate veterinarians’ perception of the impact of pasture parasites on Norwegian sheep and cattle and their current management strategies.

The study had a cross-sectional descriptive design. A net-based, pre-tested questionnaire was distributed by email to veterinarians that were likely to be involved in farm animal practice via the Norwegian Veterinary Association in September 2021. Questions concerned demographics, clinical importance, prescription, diagnostics, advice and anthelmintic resistance regarding the most important pasture parasites in Norway. These were defined as Eimeria spp., gastrointestinal nematodes and Fasciola hepatica. STATA were used for the descriptive analysis.

The survey yielded 282/945 (30%) responses, of which 242 worked with farm animals. In sheep flocks 190/238 (80%) though Eimeria spp. had a medium/large clinical importance, while 181/235 (77%) thought F. hepatica had a non/small clinical importance. Gastrointestinal nematodes ranked in between. In dairy cattle 140/238 (59%) considered pasture parasites as clinically important, and 79/222 (35%) thought so in beef cattle. Disease history and pasture management were the most important factors when deciding to prescribe anthelmintics. Still, 165/237 (70%) of the respondents said that the farmers’ opinions had a medium/large impact on the decision. Faecal egg count was ranked as the least important factor, used seldom/never by 154/239 (65%) in sheep flocks and by 198/237 (83%) in cattle herds. Advice regarding non-pharmaceutical management on farms were given by 203/239 (85%) and 173/239 (72%) felt responsible regarding prevention of anthelmintic resistance.

Veterinarians consider the impact of pasture parasites to be of clinical importance in Norwegian sheep and dairy cattle. The respondents considered the clinical importance of pasture parasites to be lower in beef- than in dairy cattle. Nevertheless, anthelmintics were prescribed extensively. Preventive treatment was common practice, and diagnostic tools were rarely used.
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1Department of Production Animal Veterinary Clinical Sciences, The Norwegian University of Life Science, Ås, Norway
2Department of Paraclinical Sciences, The Norwegian University of Life Science, Ås, Norway
3Department of Production Animal Veterinary Clinical Sciences, The Norwegian University of Life Science, Sandnes, Norway
"}],"DisplayName":"Caroline Nedrelid","TimeDisplay":null},{"ContactId":"4ddf7067-e4de-4073-94d5-c1cad11c516d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Omid","LastName":"Nekouei","Position":"Assistant Professor","Organization":"City University of Hong Kong","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/35f51bad71c742f187faf5f6ad3ee37d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Adding Active-Learning Glitters to Veterinary Epidemiology and Evidence-Based Veterinary Medicine Courses","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c9a2d06-6c43-4fa6-9125-05c81bba4053","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.D - Enhanced Veterinary Education / Evidenced-based Veterinary Medicine","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"3cca1868-e79b-4111-b149-84735197655c","Html":null,"PlainText":"Objectives
To share our hybrid teaching experience of Evidence-Based Veterinary Medicine (EBVM) and promote active learning components in teaching Veterinary Epidemiology.
Methods
Veterinary Epidemiology and EBVM are typically taught using didactic methods, and it is often challenging to engage students. Our hybrid approach has combined the basic concepts from both disciplines and pushed toward pedagogical teaching. To stimulate enthusiasm, encourage a problem-based learning mindset, and enhance the educational experience of our veterinary medicine students of epidemiological concepts and research methods, we have combined the traditional lecture/tutorial teaching approach with active-learning components, including a series of critical appraisals of research studies using customized assessment forms adapted to the hierarchy of evidence, and a course assignment to develop knowledge summaries (critically appraised topics) to answer a clinical question and prepare students for evidence-based decision making in clinical practice. This assignment mainly follows the EBVM resources and guidelines by the Royal College of Veterinary Surgeons (RCVS). We try to address current challenging clinical questions posed by our local practitioners. Further, we have incorporated our graduate students’ teaching duties in the course to provide them with the opportunity to learn and practice their teaching and leadership skills in a supervised setting.
Results
We received positive feedback from the students regarding the learning materials and assignments in our recent course deliveries. Nearly all students expressed enthusiasm during the course, and 95% stated complete satisfaction with the course in the final evaluations. The knowledge summaries were enriched and submitted for publication to the RCVS’s peer-reviewed journal, Veterinary Evidence, including students as co-authors.
Conclusion
Incorporating applied active-learning tasks into traditional epidemiology-related courses in the veterinary medicine curriculum stimulated engagement and critical thinking in students and enhanced their learning experience.

Keywords: active-learning, epidemiology, evidence-based veterinary medicine, curriculum
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3cca1868-e79b-4111-b149-84735197655c","Title":"Dr.","FirstName":"Omid","LastName":"Nekouei","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Nekouei O"},{"PresentationId":"3cca1868-e79b-4111-b149-84735197655c","Title":"Dr.","FirstName":"Sarah","LastName":"Rosanowski","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Rosanowski S"},{"PresentationId":"3cca1868-e79b-4111-b149-84735197655c","Title":"Professor","FirstName":"Dirk","LastName":"Pfeiffer","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Pfeiffer D"},{"PresentationId":"3cca1868-e79b-4111-b149-84735197655c","Title":"Professor","FirstName":"Sophie","LastName":"St-Hilaire","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"St-Hilaire S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3cca1868-e79b-4111-b149-84735197655c","Number":1,"Affiliation":"Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong","City":"Hong Kong","State":null,"Country":null,"AffiliationDisplay":"Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3cca1868-e79b-4111-b149-84735197655c","Number":2,"Affiliation":"Data Science, Digital Agriculture, AgResearch Grasslands Research Centre","City":"Palmerston North","State":null,"Country":"New Zealand","AffiliationDisplay":"Data Science, Digital Agriculture, AgResearch Grasslands Research Centre, Palmerston North, New Zealand"}],"AuthorsHtml":"Nekouei O1, Rosanowski S2, Pfeiffer D1, St-Hilaire S1","AffiliationsHtml":"
1Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong
2Data Science, Digital Agriculture, AgResearch Grasslands Research Centre, Palmerston North, New Zealand
"},{"Title":"Chick Supply to Broiler Farms of Hong Kong: Quality Challenges and Potential Solutions","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"121880e3-5390-49f1-bb47-577f1d73dc06","Html":null,"PlainText":"Objectives
To establish a baseline for the quality of day-old chicks supplied to broiler farms in Hong Kong and develop recommendations to improve the supply quality.
Methods
During 2019-2021, 70 batches of day-old chicks from 11 broiler farms were studied. Twenty-four chicks per batch were selected (judged to be representative) and assessed for any abnormalities in appearance, navel, crop filling, dehydration, body weight, and length uniformity. Chicks were sacrificed, and yolk sac residues were measured to calculate the yolk-free body weight. Blood samples were collected from all chicks and tested for the maternally-derived antibody levels against Newcastle disease virus (NDV), infectious bursal disease virus (IBDV), and avian reovirus (ARV) using commercially available enzyme-linked immunosorbent assay (ELISA) tests.
Results
Data on 1,647 chicks from 70 batches (36 sourced locally and 34 imported from Mainland China) were available. Crop filling in nearly half (9/19) of the three-day-old batches from both sources were < 90%. The proportion of abnormal navel in most batches was high (median: 59%). The average length of chicks per batch ranged between 16.3 and 20.7 cm, and their average weights were 31-38 g. On average, imported batches had a higher body weight and length compared to their local counterparts. The mean antibody titers against NDV and ARV were significantly higher in imported batches than the local ones. The majority of batch-level ELISA titers for IBDV from both sources (51/69) were below the desired threshold of 3,000, and the mean value was significantly lower in imported batches compared to the locals.
Conclusion
Lower quality of local chicks compared to the imported batches highlighted the need for continuous quality monitoring and establishing a well-managed broiler breeder farm and a hatchery in Hong Kong to enhance the health and productivity of the local farms.
Keywords: day-old chick, broiler, maternally derived antibody, biosecurity","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"121880e3-5390-49f1-bb47-577f1d73dc06","Title":"Dr.","FirstName":"Omid","LastName":"Nekouei","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Nekouei O"},{"PresentationId":"121880e3-5390-49f1-bb47-577f1d73dc06","Title":"Dr.","FirstName":"Denis","LastName":"Yau","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Yau D"},{"PresentationId":"121880e3-5390-49f1-bb47-577f1d73dc06","Title":"Dr.","FirstName":"Brett","LastName":"MacKinnon","Position":"Scientific Officer","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"MacKinnon B"},{"PresentationId":"121880e3-5390-49f1-bb47-577f1d73dc06","Title":"Mr.","FirstName":"Ioannis","LastName":"Magouras","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Magouras I"},{"PresentationId":"121880e3-5390-49f1-bb47-577f1d73dc06","Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Conan A"},{"PresentationId":"121880e3-5390-49f1-bb47-577f1d73dc06","Title":"Prof","FirstName":"Dirk","LastName":"Pfeiffer","Position":"Chair Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Pfeiffer D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"121880e3-5390-49f1-bb47-577f1d73dc06","Number":1,"Affiliation":"Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong","City":"Hong Kong","State":null,"Country":"Hong Kong","AffiliationDisplay":"Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong"}],"AuthorsHtml":"Nekouei O1, Yau D1, MacKinnon B1, Magouras I1, Conan A1, Pfeiffer D1","AffiliationsHtml":"
1Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Hong Kong
"}],"DisplayName":"Omid Nekouei","TimeDisplay":null},{"ContactId":"ee5ed25c-137f-4dbd-9548-495117dc0e2a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Le","LastName":"Nguyen","Position":"Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A Meta-ontology Framework For Parameters of Animal Disease Spread Simulation Models","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"209d259a-1f48-482e-988c-781cf04a49de","Html":null,"PlainText":"Objectives

Agent-based simulation models are characterized by a large number of parameters. Scientists are often not aware of the qualitative and quantitative differences reflected in the parameter settings of different compatible simulation models. As a result, it is very difficult to make these models work together to share the parameters’ knowledge and to compare them. We created a meta-ontology framework to capture parameter semantics and improve interoperability of parameters between different compatible models.

Material and Methods

In this work, we use a meta-ontology framework that separates domain knowledge from knowledge of specific views (reflected by simulation models) and formalizes conceptual relationships by linking to the meta-ontology structure. We use parameters of animal disease spread simulation models (NAADSM, InterSpread PLUS) as examples. We examine the state transition SIRS models for foot-and-mouth disease (FMD). A meta-ontology is created to document FMD parameter concepts in different comparable simulation models. It formalizes relationships between parameter concepts. This approach offers several advantages such as explicit domain knowledge representation and provenance, allows for the assessment and transformation of parameters with respect to domain knowledge, and assists in usage and evaluation of the models.

Results

The meta-ontology provides standard vocabularies to describe FMD parameter concepts, allows views about parameter concepts to be captured, and promotes interoperability. This is important because it establishes a neutral viewpoint which is crucial for the assessment of parameter semantics to documented domain knowledge.

Conclusion

A meta-ontology framework is essential to improve the interoperability of parameters among models. It can be used to provide a meaningful way to analyze and integrate parameters or data across multiple sources. While this work uses the domain of animal disease spread, the principles of ontological representation of model parameters are applicable to a wide range of One Health domains.

Keywords: GBADs, meta-ontology, parameters, animal disease spread, assessment
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"209d259a-1f48-482e-988c-781cf04a49de","Title":"Mr.","FirstName":"Le","LastName":"Nguyen","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Nguyen L"},{"PresentationId":"209d259a-1f48-482e-988c-781cf04a49de","Title":"Ms.","FirstName":"Deborah","LastName":"Stacey","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Stacey D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"209d259a-1f48-482e-988c-781cf04a49de","Number":1,"Affiliation":"University Of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"University Of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Nguyen L1, Stacey D1","AffiliationsHtml":"
1University Of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Le Nguyen","TimeDisplay":null},{"ContactId":"f69c949f-1c61-4d83-acb3-5e4648f33508","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nicholas","LastName":"Ngwili","Position":"Post-doctoral Fellow","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/57aead1b73ce4affbe95ac5d3292e45f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Stakeholders’ knowledge, attitude and perceptions on the control of Taenia solium in Kamuli and Hoima districts, Uganda","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"73285516-2681-481f-b5a8-7a82b6231c66","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Html":null,"PlainText":"Objective: Taenia (T.) solium is a zoonotic parasite causing three diseases: - Taeniasis and cysticercosis in humans and porcine cysticercosis in pigs. Although biomedically, the transmission of the parasite can be easily interrupted at six points along the life cycle, the contextual factors that may influence the adoption of these control strategies in Uganda remain unclear. This study assessed the stakeholders’ knowledge, attitudes and perceptions relating to the six control strategies for T. solium infections in Kamuli and Hoima districts, Uganda.
Materials and Methods: A total of 22 focus group discussions (FGD) were conducted with pig farmers, community leaders, pig/pork traders, animal health assistants and human health assistants. In addition, nine key informant interviews were held with senior officials in the ministries of agriculture and health, and other relevant agencies at the district level.
Results: The results showed differential, limited and fragmented knowledge on T. solium infections among stakeholders. Pig farmers, community leaders and pig/pork traders had almost no knowledge and were often confused regarding the differences existing between T. solium and other gastro-intestinal infections in pigs and humans. Pig confinement, pit latrine construction, coverage, maintenance and sustained use are influenced by cultural, socio-economic, and physical/ environmental factors of study population and area.
Conclusion: Proper sensitization programmes and health education interventions should target all, but with material appropriately focused to suit the different stakeholder’s categories. Reminders or nudges may be needed to ensure that increase in knowledge translates to changes in practice. Intervention programmes should also aim to overcome challenges created by the various contextual factors operating in the specific endemic areas.
Keywords: Taenia solium, Control strategies, knowledge, attitudes, perception.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Title":"Dr","FirstName":"Nicholas","LastName":"Ngwili","Position":"Post-Doctoral Scientist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ngwili N"},{"PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Title":"Dr.","FirstName":"Lian","LastName":"Thomas ","Position":"Scientist","Affiliations":"1,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Thomas L"},{"PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Title":"Prof","FirstName":"Samuel","LastName":"Githigia","Position":"Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Githigia S"},{"PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Title":"Dr","FirstName":"Nancy","LastName":"Johnson","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Johnson N"},{"PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Title":"Prof","FirstName":"Raphael","LastName":"Wahome","Position":"Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Wahome R"},{"PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Title":"Dr","FirstName":"Kristina","LastName":"Roesel","Position":"Scientist","Affiliations":"1,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Roesel K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Number":1,"Affiliation":"Animal and Human Health Program, International Livestock Research Institute (ILRI)","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Animal and Human Health Program, International Livestock Research Institute (ILRI), Nairobi Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Number":2,"Affiliation":"Faculty of Veterinary Medicine, University of Nairobi","City":"Nairobi","State":"NAIROBI","Country":"Kenya","AffiliationDisplay":"Faculty of Veterinary Medicine, University of Nairobi, Nairobi NAIROBI, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Number":3,"Affiliation":"Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, , UK","City":"Leahurst Campus","State":"Neston, CH64 7TE","Country":"UK","AffiliationDisplay":"Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, , UK, Leahurst Campus Neston, CH64 7TE, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Number":4,"Affiliation":"International Food Policy Research Institute IFPRI,","City":"Washington DC","State":"Washington DC","Country":"United States of America","AffiliationDisplay":"International Food Policy Research Institute IFPRI,, Washington DC Washington DC, United States of America"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ede62bfa-0a54-491d-9843-4edea0044253","Number":5,"Affiliation":" Institute of Parasitology and Tropical Veterinary Medicine, Department of Veterinary Medicine, Freie Universität Berlin,","City":"Berlin","State":"Berlin","Country":"Germany","AffiliationDisplay":" Institute of Parasitology and Tropical Veterinary Medicine, Department of Veterinary Medicine, Freie Universität Berlin,, Berlin Berlin, Germany"}],"AuthorsHtml":"Ngwili N1, Thomas L1,3, Githigia S2, Johnson N4, Wahome R2, Roesel K1,5","AffiliationsHtml":"
1Animal and Human Health Program, International Livestock Research Institute (ILRI), Nairobi Nairobi, Kenya
2Faculty of Veterinary Medicine, University of Nairobi, Nairobi NAIROBI, Kenya
3Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, , UK, Leahurst Campus Neston, CH64 7TE, UK
4International Food Policy Research Institute IFPRI,, Washington DC Washington DC, United States of America
5 Institute of Parasitology and Tropical Veterinary Medicine, Department of Veterinary Medicine, Freie Universität Berlin,, Berlin Berlin, Germany
"},{"Title":"Co-infection of pigs with Taenia solium cysticercosis and gastrointestinal parasites in Eastern and Western Uganda","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Html":null,"PlainText":"Objective: A study was carried out in Kamuli and Hoima districts in Eastern and Western regions of Uganda to determine the Taenia solium porcine cysticercosis (PCC) and gastrointestinal (GI) parasites co-infection status in pigs.
Materials and Methods: One hundred and sixty-one households were selected randomly and visited between November and December 2019. A household questionnaire was administered, and fecal and blood samples were collected. Taenia spp. circulating antigen levels in the sample sera was tested using a commercial enzyme-linked immunosorbent assay kit, apDia™ cysticercosis Ag ELISA. The modified McMaster technique was used to identify and quantify the GI parasites.
Results: The apparent animal level seroprevalence for PCC was 4.8% (95% CI 2.7 – 7.1) and differed across the two districts (P = 0.018). At the pig herd level, the prevalence was 9.7% (5.5 – 14.4). The prevalence of the different nematode eggs and coccidian oocysts in the two districts were as follows: Strongyles 79.0% (95% CI 74.3 – 83.6), Coccidia 73.3% (95% CI 68.3 – 78.6), Trichuris spp. 7.4% (95% CI 4.9 – 10.6), Strongyloides ransomi 2.1 (95% CI 0.7 – 3.5), Ascaris spp. 4.9 (95% CI 2.8 – 7.4). Overall, across the two districts, the arithmetic mean for the oocysts per gram (OPG) for coccidia was 2042.2±5776.1 and eggs per gram (EPG) was highest in strongyles 616.1±991. Overall, 57.4% of the porcine cysticercosis seropositive pigs were also positive for at least one of the gastrointestinal helminths, which included strongyles, Strongyloides ransomi, Trichuris spp. and Ascaris spp.
Conclusion: The co-infection status of pigs with both PCC and GI parasites demonstrated by this study can provide an incentive for integrating the control and management of both parasites with oxfendazole.
Keywords: Taenia solium, porcine cysticercosis, gastrointestinal parasites, co-infection
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Title":"Mr.","FirstName":"Nicholas","LastName":"Ngwili","Position":"Post-doctoral Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ngwili N"},{"PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Title":"Mrs.","FirstName":"Lian","LastName":"Thomas","Position":"Scientist","Affiliations":"1,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Thomas L"},{"PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Title":"Prof","FirstName":"Samuel","LastName":"Githigia","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Githigia S"},{"PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Title":"Mr.","FirstName":"Dishon","LastName":"Muloi","Position":"Research Fellow","Affiliations":"1,3","IsPresenting":false,"SortOrder":4,"DisplayName":"Muloi D"},{"PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Title":"Prof","FirstName":"Raphael","LastName":"Wahome","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Wahome R"},{"PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Title":"Dr","FirstName":"Karen","LastName":"Marshall","Position":"Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Marshall K"},{"PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Title":"Ms.","FirstName":"Kristina","LastName":"Roesel","Position":"Scientist","Affiliations":"1,4","IsPresenting":false,"SortOrder":7,"DisplayName":"Roesel K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Number":1,"Affiliation":"Animal and Human Health Program, International Livestock Research Institute","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Animal and Human Health Program, International Livestock Research Institute, Nairobi Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Number":2,"Affiliation":"Faculty of Veterinary Medicine, University of Nairobi","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Faculty of Veterinary Medicine, University of Nairobi, Nairobi Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Number":3,"Affiliation":"Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, , UK","City":"Neston, CH64 7TE","State":null,"Country":"UK","AffiliationDisplay":"Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, , UK, Neston, CH64 7TE, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2492abe7-1b1e-4a8c-9f1f-698524d8c449","Number":4,"Affiliation":"Institute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, ","City":"Berlin ","State":"Berlin ","Country":"Germany ","AffiliationDisplay":"Institute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, , Berlin Berlin , Germany "}],"AuthorsHtml":"Ngwili N1, Thomas L1,3, Githigia S2, Muloi D1,3, Wahome R2, Marshall K1, Roesel K1,4","AffiliationsHtml":"
1Animal and Human Health Program, International Livestock Research Institute, Nairobi Nairobi, Kenya
2Faculty of Veterinary Medicine, University of Nairobi, Nairobi Nairobi, Kenya
3Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, , UK, Neston, CH64 7TE, UK
4Institute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, , Berlin Berlin , Germany
"}],"DisplayName":"Nicholas Ngwili","TimeDisplay":null},{"ContactId":"0ec3458d-193b-403e-ae24-ce0a1947061c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jarkko","LastName":"Niemi","Position":"Research Professor","Organization":"Natural Resources Institute Finland (Luke)","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8fd54cf10a014602bd2d809cd3c63c78","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The value of good hygiene in pig fattening","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7ef23fe7-0a8c-4a54-afbd-b854c4e18dee","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"4ceac1be-65a1-4f51-bd28-df7bd1ab505f","Html":null,"PlainText":"Not all farms apply appropriate hygiene. Research suggests, for example, that some 10–15% of pig farms have inadequate cleaning break between batches. This can lead to elevated incidence of disease, mortality and carcass condemnations, reduced animal welfare and lower financial returns. However, literature provides very little information on economic benefits of good hygiene. The aim of this study was to assess the financial value of good hygiene in the United Kingdom and Finland pig production sector.
Data used in the analyses were obtained from a sanitary challenge experiment and from published studies. Scenarios for both good and poor hygiene in a fig fattening farm were developed and the results between these were compared. The return on pig fattening was modelled by using a dynamic farm-level optimisation model which adjusted management parameters according to the sanitary scenario. Then, a comparative static economic welfare analysis was conducted to quantify the value of hygiene in the pig fattening sectors.
The net benefit of improved pig house cleanliness was modelled to at up to €0.22 per kg pigmeat. Poor hygiene was estimated to reduce the gross margin of pig fattening by about 50%. At the sector level, the net welfare change associated with enhanced hygiene, when applied simultaneously, was estimated at up to 40 million per year in Finland and up to €355 million per year in the UK.
In conclusion, poor hygiene can cause substantial financial losses and therefore good hygiene is of vital importance for the sustainability of pig farming.
This work was conducted under the PROHEALTH project which received funding from the European Union’s 7th Framework Programme for Research, Technological Development and Demonstration under Grant Agreement Number 613574.
Key words: Swine, Biosecurity, Management, Sanitary challenge, Production disease

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4ceac1be-65a1-4f51-bd28-df7bd1ab505f","Title":"Prof.","FirstName":"Jarkko","LastName":"Niemi","Position":"Research Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Niemi J"},{"PresentationId":"4ceac1be-65a1-4f51-bd28-df7bd1ab505f","Title":"Dr.","FirstName":"Anna","LastName":"Stygar","Position":"Research scientist","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Stygar A"},{"PresentationId":"4ceac1be-65a1-4f51-bd28-df7bd1ab505f","Title":"Mr.","FirstName":"Philip","LastName":"Jones","Position":"Senior Research Fellow","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Jones P"},{"PresentationId":"4ceac1be-65a1-4f51-bd28-df7bd1ab505f","Title":"Prof.","FirstName":"Richard","LastName":"Tranter","Position":"Professor of Rural Economy","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Tranter R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4ceac1be-65a1-4f51-bd28-df7bd1ab505f","Number":1,"Affiliation":"Natural Resources Institute Finland (Luke)","City":"Seinäjoki","State":"-","Country":"Finland","AffiliationDisplay":"Natural Resources Institute Finland (Luke), Seinäjoki -, Finland"}],"AuthorsHtml":"Niemi J1, Stygar A, Jones P, Tranter R","AffiliationsHtml":"
1Natural Resources Institute Finland (Luke), Seinäjoki -, Finland
"},{"Title":"Assessing farm-level financial implications of rumen acidosis and ketosis in dairy cows","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"6a353a6d-b4b0-40d0-aa3d-a1221acda910","Html":null,"PlainText":"Rumen acidosis and ketosis are disorders which occur commonly in dairy cows. The financial implications of these disorders at the farm level are however received little attention in research. Hence, the objective of this study was to develop a tool which can be used to assess financial farm-level financial implications of rumen acidosis and ketosis in dairy cows.
A standard cost calculation model was first developed to provide a framework where diseases, and their control options, can be appraised. The model was then parametrised for a sample of pilot farms which provided data for the study. The appraisal was tailored for each farm by analysing farm-specific longitudinal data obtained by sensors installed on the farm and herd health records.
The financial losses were caused mainly by production losses, veterinary treatments taken in the herd and labour input related to the treatments. The annual farm-level losses varied substantially depending on the farm-specific factors such as incidence and severity of clinical disease. On average, the losses per disease case were calculated around €250 per diseased cow per year.
The results suggest that it is feasible to assess the farm-level financial implications of rumen acidosis and ketosis in dairy cows. However, obtaining robust parameters to perform farm-level assessment requires that sufficient time series data are available from the farm.
Key words: Production disease, Cattle, Cost of disease, Modelling
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6a353a6d-b4b0-40d0-aa3d-a1221acda910","Title":"Prof.","FirstName":"Jarkko","LastName":"Niemi","Position":"Research Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Niemi J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6a353a6d-b4b0-40d0-aa3d-a1221acda910","Number":1,"Affiliation":"Natural Resources Institute Finland (Luke)","City":"Seinäjoki","State":"-","Country":"Finland","AffiliationDisplay":"Natural Resources Institute Finland (Luke), Seinäjoki -, Finland"}],"AuthorsHtml":"Niemi J1","AffiliationsHtml":"
1Natural Resources Institute Finland (Luke), Seinäjoki -, Finland
"}],"DisplayName":"Jarkko Niemi","TimeDisplay":null},{"ContactId":"43c9f8ff-58b7-4b10-8dc2-27143969fad2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Riitta","LastName":"Niemi","Position":"PhD Student","Organization":"University of Helsinki","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Economic perspectives on blanket and selective dry cow therapy","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d8733942-7f4f-44cd-931a-e8f440fee5f9","Html":null,"PlainText":"Dry cow therapy (DCT) is an efficient and widely used measure to control intramammary infections (IMI) in dairy herds. On a blanket-DCT practice (BDCT), all cows receive antibiotics at dry-off. On a selective-DCT practice (SDCT), treatments are targeted only at infected cows. Our objective was to compare the cost-effectiveness of SDCT and BDCT, considering the risk of IMI and uncertainty related to inputs and outputs of milk production.

Because a DCT practice affects both revenue and costs, a margin calculation is a useful method. We built a stochastic calculation model to show a margin for costs that are equal in both DCT policies. Data for modeling were generated by running 100,000 Monte Carlo simulations. The value of fixed variables, parameters for the distribution of stochastic variables, and probabilities for receiving DCT at dry-off or for acquiring IMI after calving were extracted from the literature and official statistics. In a sensitivity analysis, we tested effects of diverse IMI probabilities. Results indicated the annual margin per cow in both SDCT and BDCT herds.

Within a same herd size and milking system, the distribution of the margin in BDCT herds deviated from that of SDCT herds with the difference in median being €23─€29 per cow (1%) in favor of BDCT. If SDCT herds could reduce their current risk of post-calving IMI from 0.24 to 0.20 and BDCT herds would have their current risk of 0.18, an equal difference would be in favor of SDCT.

Antimicrobial resistance is a serious global concern that emphasizes non-antibiotic IMI prevention. Financial differences between SDCT and BDCT are minimal and, therefore, the focus in decision-making should be on the health status of the herd. SDCT is a competitive management practice, especially in herds succeeding to keep their IMI risk low.

Keywords: mastitis, dry cow therapy, stochastic analysis, cost-effectiveness
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d8733942-7f4f-44cd-931a-e8f440fee5f9","Title":"Dr.","FirstName":"Anna-Maija","LastName":"Heikkilä","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Heikkilä A"},{"PresentationId":"d8733942-7f4f-44cd-931a-e8f440fee5f9","Title":"Mrs.","FirstName":"Riitta","LastName":"Niemi","Position":"PhD Student","Affiliations":"2","IsPresenting":true,"SortOrder":2,"DisplayName":"Niemi R"},{"PresentationId":"d8733942-7f4f-44cd-931a-e8f440fee5f9","Title":"Mrs.","FirstName":"Päivi","LastName":"Rajala-Schultz","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Rajala-Schultz P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d8733942-7f4f-44cd-931a-e8f440fee5f9","Number":1,"Affiliation":"Natural Resources Institute Finland","City":"Helsinki","State":"Uusimaa","Country":"Finland","AffiliationDisplay":"Natural Resources Institute Finland, Helsinki Uusimaa, Finland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d8733942-7f4f-44cd-931a-e8f440fee5f9","Number":2,"Affiliation":"University of Helsinki","City":"Saarentaus","State":"Uusimaa","Country":"Finland","AffiliationDisplay":"University of Helsinki, Saarentaus Uusimaa, Finland"}],"AuthorsHtml":"Heikkilä A1, Niemi R2, Rajala-Schultz P2","AffiliationsHtml":"
1Natural Resources Institute Finland, Helsinki Uusimaa, Finland
2University of Helsinki, Saarentaus Uusimaa, Finland
"}],"DisplayName":"Riitta Niemi","TimeDisplay":null},{"ContactId":"f7dac1b0-a897-48ec-8dc1-dd827745d9e0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Emily","LastName":"Nixon","Position":"","Organization":"University of Bristol","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Identifying optimum control strategies for sheep scab","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e394868c-9256-48a3-8d53-30aa6bc3433d","Html":null,"PlainText":"Background
Psoroptic mange (sheep scab) is an infectious condition caused by the parasitic mite, Psoroptes ovis. It causes huge economic losses to the sheep scab industry worldwide (~£78-202 million per annum in Great Britain (GB)) and is an animal welfare concern. Licenced treatment strategies for scab include organophosphate dips, or macrocyclic lactone injection. Various national treatment strategies were enforced in GB after the reintroduction of scab in 1972 and yearly farm outbreaks were kept below 100, however, after 1992, when the disease was deregulated, the number of cases has increased to around 7-8 thousand.
Recent modelling work identified isolated spatial clusters of contiguous farms between which local transmission of scab occurs, and where, without long-distance movements, scab self-limits at the boundaries. It has therefore been suggested that focusing control within these clusters and on ensuring that scab infested sheep are not moving via sales and markets may be an effective means to control scab. However, until now, the epidemiological impact of this control method, or any other interventions, has not been explored, nor have the associated costs been calculated.

Objective To identify optimum control strategies for sheep scab


Material and methods: We used a stochastic metapopulation model for sheep scab, modified to include prophylactic treatment, and explored the epidemiological and economic impact of various treatment scenarios.

Results

The impact of routine prophylactic treatment on farms is low when there are no interventions to prevent the spread of scab through long distance movements and is more costly than doing nothing. National movement control is the most effective and economical strategy.

Conclusion
National movement control should be encouraged. Our model can be used to investigate similar questions in other countries and for other diseases where data are available.

Keywords: Disease control, spatial epidemiology, livestock, parasitology, modelling","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e394868c-9256-48a3-8d53-30aa6bc3433d","Title":"Dr.","FirstName":"Emily","LastName":"Nixon","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Nixon E"},{"PresentationId":"e394868c-9256-48a3-8d53-30aa6bc3433d","Title":"Dr","FirstName":"Ellen","LastName":"Brooks Pollock","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Brooks Pollock E"},{"PresentationId":"e394868c-9256-48a3-8d53-30aa6bc3433d","Title":"Professor","FirstName":"Richard","LastName":"Wall","Position":"Professor of Ecology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Wall R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e394868c-9256-48a3-8d53-30aa6bc3433d","Number":1,"Affiliation":"University Of Bristol","City":"Bristol","State":"Bristol","Country":"United Kingdom","AffiliationDisplay":"University Of Bristol, Bristol Bristol, United Kingdom"}],"AuthorsHtml":"Nixon E1, Brooks Pollock E1, Wall R1","AffiliationsHtml":"
1University Of Bristol, Bristol Bristol, United Kingdom
"}],"DisplayName":"Emily Nixon","TimeDisplay":null},{"ContactId":"399e5501-1534-4e6b-800b-09b96b79f561","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Noelle","LastName":"Noyes","Position":"Assistant Professor","Organization":"University of Minnesota","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Does the piglet fecal microbiome vary between individual, composite individual, and pooled DNA samples?: A pilot study","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7ef23fe7-0a8c-4a54-afbd-b854c4e18dee","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Html":null,"PlainText":"Objective: This study aimed to characterize and compare the piglet fecal microbiome obtained from samples processed using both individual and pooled workflows.
Materials and methods: A total of 20 litters (N=10 contained piglets ~2 days of age, N=10 contained piglets ~20 days of age) reared in a single commercial swine facility were enrolled in the study. All piglets (N=258) from all litters were sampled individually by inserting a sterile cotton-tipped swab into the rectum. Additionally, 3 composite samples were collected from each litter by swabbing the pen floor with a cotton-tipped swab. Swabs were stored at -80°C and then processed using four different methods: 1) individual samples were processed for DNA extraction (“individual”, N=258); 2) raw material from individual samples was pooled (4 pools/litter) and DNA was extracted (“fecal pools”, N=80); 3) raw material from individual samples was processed for DNA extraction and then the DNA was pooled (4 pools/litter), (“DNA pools”, N=80); and 4) composite floor samples (3/litter, N=60). All libraries (N=478 samples) were sequenced for microbiome analysis using the 16S rRNA V4 region and compared between the four workflows.
Results: As a set, the individual samples contained 865 amplicon sequence variants (ASVs) that were not detected in any of the pooled samples, while the DNA and fecal pools contained 168 and 171 ASVs, respectively, that were not detected in any of the individual samples. Alpha and beta diversity were not significantly different between fecal and DNA pools. Microbiome composition of composite floor samples was significantly different from individual samples, as well as fecal and DNA pools (PERMANOVA P= 0.002).
Conclusion: Analyzing piglet fecal samples at the individual level provided the most comprehensive profile of the piglet microbiome. However, pooling samples captured most of the variability in individual microbiome profiles, thus should be considered for population-level piglet microbiome studies.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Title":"Dr.","FirstName":"Tara","LastName":"Gaire","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Gaire T"},{"PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Title":"Mr.","FirstName":"Thomas","LastName":"Wehri","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Wehri T"},{"PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Title":"Mr.","FirstName":"Jared","LastName":"Young","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Young J"},{"PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Title":"Mr.","FirstName":"Mark","LastName":"Schwartz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Schwartz M"},{"PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Title":"Dr.","FirstName":"Maria","LastName":"Pieters","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Pieters M"},{"PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Title":"Dr.","FirstName":"Randall","LastName":"Singer","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Singer R"},{"PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Title":"Dr.","FirstName":"Noelle","LastName":"Noyes","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":7,"DisplayName":"Noyes N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Number":1,"Affiliation":"Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota","City":"St Paul","State":"MN","Country":"USA","AffiliationDisplay":"Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b3dd680f-712d-4a39-81f5-7b99177a86a3","Number":2,"Affiliation":"Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota","City":"St Paul","State":"MN","Country":"USA","AffiliationDisplay":"Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St Paul MN, USA"}],"AuthorsHtml":"Gaire T1, Wehri T1, Young J1, Schwartz M1, Pieters M1, Singer R2, Noyes N1","AffiliationsHtml":"
1Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St Paul MN, USA
2Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, St Paul MN, USA
"},{"Title":"Systematic benchmarking of existing variant callers for use with metagenomic data","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ab9398f4-a437-4aa3-b1d0-a81a38b6b0ce","Html":null,"PlainText":"Objectives. Few variant callers have been developed specifically for metagenomic data, and performance evaluations focused on this use case are limited. The objective of this study was to perform comprehensive benchmarking of variant callers using metagenomic datasets with varying data characteristics.

Materials and methods. First, we established a list of single-genome and metagenomic variant callers. Next, we created a dataset of known bacterial genomes and randomly inserted single-nucleotide polymorphisms (SNPs) into the genomes. The position of each SNP was recorded as the “ground truth”. This set of genomes was systematically subset to generate datasets with varying genomic diversity. From each of these datasets, we generated in silico short-read metagenomic fastq files using InSilicoSeq. Read depth was systematically varied. The impacts of genomic diversity and read depth on runtime, memory, precision, recall and accuracy and was reported for each variant caller.

Results. Variant caller accuracy typically increased with increasing read depth, although this was not the case for all variant callers, especially for low-diversity datasets. Precision was generally high (i.e., >90%) across all read depths and levels of genomic diversity, although several variant callers exhibited lower precision with higher read depth, particularly for low-diversity datasets. Recall was lower than precision, but also tended to increase with increasing read depth. Memory and runtime also increased with increasing read depth, but were not impacted by genomic diversity. There were large performance differences between some variant callers, with important trade-offs depending on the variant caller.

Conclusion. Existing variant callers exhibited widely divergent behaviors on metagenomic datasets. Relationship between variant caller performance and read depth and/or (meta)genomic diversity were not always linear or intuitive. Systematic evaluation with relevant and representative data is necessary to guide selection of the most appropriate variant caller, depending on the scientific question and sample characteristics.

Keywords: metagenomics, variant calling, benchmarking","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ab9398f4-a437-4aa3-b1d0-a81a38b6b0ce","Title":"Dr.","FirstName":"Noelle","LastName":"Noyes","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Noyes N"},{"PresentationId":"ab9398f4-a437-4aa3-b1d0-a81a38b6b0ce","Title":"Mr.","FirstName":"Omar","LastName":"Jimenez-Lopez","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Jimenez-Lopez O"},{"PresentationId":"ab9398f4-a437-4aa3-b1d0-a81a38b6b0ce","Title":"Mr.","FirstName":"Peter","LastName":"Ferm","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Ferm P"},{"PresentationId":"ab9398f4-a437-4aa3-b1d0-a81a38b6b0ce","Title":"Mr.","FirstName":"Jesse","LastName":"Elder","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Elder J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab9398f4-a437-4aa3-b1d0-a81a38b6b0ce","Number":1,"Affiliation":"University Of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"University Of Minnesota, St. Paul MN, USA"}],"AuthorsHtml":"Noyes N1, Jimenez-Lopez O1, Ferm P1, Elder J1","AffiliationsHtml":"
1University Of Minnesota, St. Paul MN, USA
"}],"DisplayName":"Noelle Noyes","TimeDisplay":null},{"ContactId":"f7e9d2d4-bdf7-4f01-837c-93ff8db29bfd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nkululeko","LastName":"Nyangiwe","Position":"Professor","Organization":"Rural Development and Agrarian Reform and University of South Africa","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a8f581b6ff9e4efb8f273e7da8d412b6","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Species richness and the encroachment of the invasive cattle tick, Rhipicephalus microplus (Acari: Ixodidae) on camps grazed by sheep in the Eastern Cape, South Africa","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"5f5568b1-ed47-4f9f-ab4d-db8ff06078ec","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.E - Epidemiology of vector-borne diseases","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Html":null,"PlainText":"The invasive cattle tick, Rhipicephalus microplus, was introduced into South Africa towards the end of the nineteenth century. The objective of this study was to establish the seasonal abundance of questing tick larvae on Amathole Montane Grassland camp grazed by sheep. Ticks questing for hosts were collected monthly for a period of 3 years by dragging flannel strips attached to a wooden spar over the vegetation. At each occasion six replicate drag-samples were made in camps grazed by sheep. Of the questing ticks (n=14,891) collected from the vegetation, the most abundant larvae were those of Rhipicephalus microplus (93.61%) followed by R. appendiculatus (4.71%), R. decoloratus (0.99%), R. evertsi evertsi (0.56%), R. simus (0.09) and Amblyomma hebraeum (0.04%). The R. microplus larvae were significantly higher (P < 0.05) in 2015 (2.11±0.108), 2016 (2.02±0.076) and 2017 (1.94±0.075) during spring than any season. No significant differences (P ˃ 0.05) from R. appendiculatus questing ticks collected in autumn (0.27±0.007; 0.30±0.052) and spring (0.33±0.007; 0.20±0.052) for 2015 and 2016 respectively. The study showed that the cattle tick, R. microplus is adapting very well on other host species, in this case sheep and encroaching to areas that were too cold for its adaptation. Subsequently, R. microplus is displacing the native tick, R. decoloratus from the vegetation and this is the first record reported in South Africa. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Title":"Prof.","FirstName":"Nkululeko","LastName":"Nyangiwe","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Nyangiwe N"},{"PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Title":"Dr ","FirstName":"Mandla","LastName":"Yawa","Position":"Student","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Yawa M"},{"PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Title":"Mr ","FirstName":"Luxolo","LastName":"Qokweni","Position":"Pasture Scientist","Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Qokweni L"},{"PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Title":"Mr","FirstName":"Siza","LastName":"Mthi","Position":"Animal Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Mthi S"},{"PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Title":"Mr","FirstName":"Sindisile","LastName":"Goni","Position":"Animal Scientist","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Goni S"},{"PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Title":"Prof","FirstName":"Ntanganedzeni Olivia","LastName":"Mapholi","Position":"Head of Department","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Mapholi N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Number":1,"Affiliation":"Department of Rural Development and Agrarian Reform, Dohne ","City":"Stutterheim","State":"Eastern Cape Province","Country":"South Africa","AffiliationDisplay":"Department of Rural Development and Agrarian Reform, Dohne , Stutterheim Eastern Cape Province, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Number":2,"Affiliation":"Department of Agriculture and Animal Health, Unisa","City":"Florida, Johannesburg","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Agriculture and Animal Health, Unisa, Florida, Johannesburg Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Number":3,"Affiliation":"Department of Livestock and Pasture","City":"Alice","State":"Eastern Cape Province","Country":"South Africa","AffiliationDisplay":"Department of Livestock and Pasture, Alice Eastern Cape Province, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"89b293d2-f4c1-4d92-ab6a-fd9045ba6756","Number":4,"Affiliation":"Rural Development and Agrarian Reform","City":"Port Elizabeth","State":"Eastern Cape Province","Country":"South Africa","AffiliationDisplay":"Rural Development and Agrarian Reform, Port Elizabeth Eastern Cape Province, South Africa"}],"AuthorsHtml":"Nyangiwe N1,2, Yawa M3, Qokweni L4, Mthi S1, Goni S1, Mapholi N2","AffiliationsHtml":"
1Department of Rural Development and Agrarian Reform, Dohne , Stutterheim Eastern Cape Province, South Africa
2Department of Agriculture and Animal Health, Unisa, Florida, Johannesburg Gauteng, South Africa
3Department of Livestock and Pasture, Alice Eastern Cape Province, South Africa
4Rural Development and Agrarian Reform, Port Elizabeth Eastern Cape Province, South Africa
"}],"DisplayName":"Nkululeko Nyangiwe","TimeDisplay":null},{"ContactId":"1841d368-1503-4aff-aa97-e4a7c2585843","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nicole","LastName":"O'Brien","Position":"","Organization":"Department Of Fisheries, Forestry And Agriculture - AAHD","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/607b75c9f224479589ba6ba840487a7b","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Epidemiologic description of Infectious salmon anaemia virus outbreaks at four Atlantic salmon (Salmo salar) marine sites in 2020, in Newfoundland and Labrador, Canada","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"230e48f5-c7fd-47a9-8b8c-6569f407af89","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"8306f835-1d3d-45c7-9f8e-5bd4257a274b","Html":null,"PlainText":"Objective: Four marine Atlantic salmon (Salmo salar L.) farms in southern Newfoundland had an incursion of Infectious Salmon Anaemia virus (ISAv) in 2020 resulting in clinical outbreak. The objectives of this study were to describe the epidemiology of variants of infectious salmon anaemia virus at four Atlantic salmon marine sites in Newfoundland and Labrador, Canada, and compare the temporal patterns of fish level apparent prevalence and virulence of the involved ISAv variants.

Materials and Methods: Fish kidney samples collected during regular and enhanced surveillance from the 4 affected farms were screened for the presence of ISAv by real-time RT-PCR and submitted for genotyping, histological examination, and virus isolation in cell culture. Descriptive analyses were used to summarize the test results data and fish level apparent prevalence was estimated as the proportion of RT-PCR positive fish among the total fish tested.

Results: This is the first epidemiologic description of the ISAv outbreak at the population level and the associated ISAv variants experienced by these four marine Atlantic salmon sites in 2020 – 2021. These outbreaks involved nine distinct ISAv variants of which 5 were European and 3 North American HPR-deleted ISAv variants, while 1 was North American HPR0 ISAv variant. A notable finding of this study was the concurrent detection of both an HPR0 and an HPR-deleted ISAv variant in at least one individual fish. Two of the affected farms harbored both European and North American variants simultaneously, while the other 2 farms exclusively involved either the North American or European variants but not both together.

Conclusion: The study reinforces the importance of strain typing surveillance for ISAv. Findings from the study will strengthen the understanding of local ISAv disease dynamics and identification of changes thereof in the region.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8306f835-1d3d-45c7-9f8e-5bd4257a274b","Title":"Dr.","FirstName":"Nicole","LastName":"O'Brien","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"O'Brien N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8306f835-1d3d-45c7-9f8e-5bd4257a274b","Number":1,"Affiliation":"Department Of Fisheries, Forestry And Agriculture - Aahd","City":"St Johns","State":"NL","Country":"Canada","AffiliationDisplay":"Department Of Fisheries, Forestry And Agriculture - Aahd, St Johns NL, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8306f835-1d3d-45c7-9f8e-5bd4257a274b","Number":2,"Affiliation":"João F. Romero","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"João F. Romero, Charlottetown PEI, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8306f835-1d3d-45c7-9f8e-5bd4257a274b","Number":3,"Affiliation":"Daryl Whelan","City":"St. John's","State":"NL","Country":"Canada","AffiliationDisplay":"Daryl Whelan, St. John's NL, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8306f835-1d3d-45c7-9f8e-5bd4257a274b","Number":4,"Affiliation":"Ian A. Gardner","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"Ian A. Gardner, Charlottetown PEI, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8306f835-1d3d-45c7-9f8e-5bd4257a274b","Number":5,"Affiliation":"K. Larry Hammell","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"K. Larry Hammell, Charlottetown PEI, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8306f835-1d3d-45c7-9f8e-5bd4257a274b","Number":6,"Affiliation":"Krishna Thakur","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"Krishna Thakur, Charlottetown PEI, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8306f835-1d3d-45c7-9f8e-5bd4257a274b","Number":7,"Affiliation":"Leighanne J. Hawkins","City":"Blacks Harbour","State":"NB","Country":"Canada","AffiliationDisplay":"Leighanne J. Hawkins, Blacks Harbour NB, Canada"}],"AuthorsHtml":"O'Brien N1","AffiliationsHtml":"
1Department Of Fisheries, Forestry And Agriculture - Aahd, St Johns NL, Canada
2João F. Romero, Charlottetown PEI, Canada
3Daryl Whelan, St. John's NL, Canada
4Ian A. Gardner, Charlottetown PEI, Canada
5K. Larry Hammell, Charlottetown PEI, Canada
6Krishna Thakur, Charlottetown PEI, Canada
7Leighanne J. Hawkins, Blacks Harbour NB, Canada
"}],"DisplayName":"Nicole O'Brien","TimeDisplay":null},{"ContactId":"a4f892ed-7848-4cb5-9da9-11f83371232d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Francesca","LastName":"Occhiuto","Position":"Phd Student","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"FrancescaOcch10","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"FrancescaOcch10","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=FrancescaOcch10","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=FrancescaOcch10","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Using precision technology to investigate personality and predictability of movement and space use in farmed calves and their associations with production.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"0862b0d0-27f4-4e0c-b764-b82525142b47","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.A - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"866c9a38-7317-4412-b1ca-51ddc013d887","Html":null,"PlainText":"Recent improvements in precision livestock technologies have created an opportunity to collect large amounts of high-quality data on the behaviour of farm animals. Individual differences in behaviour can impact welfare, productivity and disease susceptibility. Understanding this variation can help when using behaviour as indicators for early disease detection or as welfare measures. Differences in movement are often used to describe personality types and modern location sensors provide a great tool for investigating farm animal movement.

In this study we measured inter-individual variation (personality) and intra-individual variation (predictability) in movement and space use using location sensors that continuously monitored 60 individual calves for 40-48 days. The data were analysed by fitting mixed-effects models for the following variables: walked distance, area used, site fidelity and time spent in the feeder area. Using double-hierarchical models we calculated repeatability (the proportion of total variation explained by the difference between individuals) and coefficient of variation in predictability (CVp). A multivariate model was used to measure the correlations between the behaviours.

The results showed consistent differences in average behaviour and in predictability between individuals. The behaviour with the highest repeatability and CVp was area used (ICC=0.78, CVp=0.41), indicating the existence of an “exploratory” personality. Individuals with a higher distance travelled also had a higher area used (r=0.29), and spent more time near the feeder (r=0.31). The distance travelled was also positively correlated with the weight gained by calves during the trial, indicating a connection between personality types and growth rate.

Overall, these results demonstrated the efficacy of using sensors to detect personality types and predictability in farm animals. They also highlighted the importance of accounting for individual variation in behaviour and the potential of using these measures to improve the welfare and health of farm animals.

Keywords: Animal personality, predictability, repeatability, inter-individual variability, space use","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"866c9a38-7317-4412-b1ca-51ddc013d887","Title":"Miss","FirstName":"Francesca","LastName":"Occhiuto","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Occhiuto F"},{"PresentationId":"866c9a38-7317-4412-b1ca-51ddc013d887","Title":"Dr","FirstName":"Jorge","LastName":"Vázquez-Diosdado","Position":"Assistant professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Vázquez-Diosdado J"},{"PresentationId":"866c9a38-7317-4412-b1ca-51ddc013d887","Title":"Mr","FirstName":"Charles","LastName":"Carslake","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Carslake C"},{"PresentationId":"866c9a38-7317-4412-b1ca-51ddc013d887","Title":"Prof","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Kaler J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"866c9a38-7317-4412-b1ca-51ddc013d887","Number":1,"Affiliation":"University of Nottingham","City":"Nottingham","State":"Nottinghamshire ","Country":"United Kingdom","AffiliationDisplay":"University of Nottingham, Nottingham Nottinghamshire , United Kingdom"}],"AuthorsHtml":"Occhiuto F1, Vázquez-Diosdado J1, Carslake C1, Kaler J1","AffiliationsHtml":"
1University of Nottingham, Nottingham Nottinghamshire , United Kingdom
"}],"DisplayName":"Francesca Occhiuto","TimeDisplay":null},{"ContactId":"f375b913-e7fd-4e35-9ce2-69177e91492e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Annette","LastName":"O'Connor","Position":"Professor","Organization":"MSU","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3ace5c79550c47fd99b62b35bc444eb7","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Annette O’Connor is Department Chair of Large Animal Clinical Sciences at Michigan State University, and a Fellow of the Australian College of Veterinary Scientists. Dr. O’Connor is a quantitative veterinary epidemiologist who works in food production, public health, food safety and uses of animals. She conducts primary research and synthesis research in these areas. This work involves combining research in transparent and comprehensive ways that ensure maximum value is obtained from society’s investment in research funding. She has worked in a diverse set of fields including food-borne pathogens of animal proteins, statistical approaches to antibiotic resistance data, food production, biomedical uses of animals, and veterinary public health. The main aim of Dr. O’Connor’s work is to help end-users better understand the results of research so decisions-makers such as industry bodies, veterinary practitioners and government officials can incorporate primary research into decisions (i.e. science supported decision-making). ","Presentations":[{"Title":"New Frontiers of Veterinary Epidemiology","Bio":"Dr. Annette O’Connor is Department Chair of Large Animal Clinical Sciences at Michigan State University, and a Fellow of the Australian College of Veterinary Scientists. Dr. O’Connor is a quantitative veterinary epidemiologist who works in food production, public health, food safety and uses of animals. She conducts primary research and synthesis research in these areas. This work involves combining research in transparent and comprehensive ways that ensure maximum value is obtained from society’s investment in research funding. She has worked in a diverse set of fields including food-borne pathogens of animal proteins, statistical approaches to antibiotic resistance data, food production, biomedical uses of animals, and veterinary public health. The main aim of Dr. O’Connor’s work is to help end-users better understand the results of research so decisions-makers such as industry bodies, veterinary practitioners and government officials can incorporate primary research into decisions (i.e. science supported decision-making). ","PresentationTypeName":"Plenary Lecture","Session":{"Id":"212e8cba-ed97-48e0-8348-708e0542dea3","Date":"2022-08-12T00:00:00+00:00","StartTime":"08:30:00","EndTime":"09:30:00","Name":"KEYNOTE New Frontiers of Veterinary Epidemiology","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"8:30 AM - 9:30 AM"},"Documents":[{"PresentationId":"051edb90-d4a2-4777-b195-cd3ea7c02904","Html":null,"PlainText":"Causal research is one foundational concept in epidemiology. Epidemiologists are taught observational study design, measures of disease frequency, measures of effect, and that association is not causation. How to use causal frameworks to conclude that B is caused by A is considered essential knowledge of epidemiologists. In this presentation I will discuss that in human epidemiology, there has been a renaissance of causal research in recent years associated with revisiting causation frameworks, a renewed understanding of bias mechanisms, and the essential role of an epidemiologist in knowledge translation to policy. This renaissance of causal research impacts how epidemiologists understand, conduct, and teach causation in veterinary science and agriculture. Focusing on observational research, we should think critically about our approaches to answering causal questions and whether we are achieving the best we can with the available resources. If causal research is a foundational concept in veterinary epidemiology, are we too focused on observational methods for causal research? Should we broaden our scope to include the full spectrum of causal research approaches, i.e., clinical trial and research synthesis? Epidemiologists are well suited to lead the profession in clinical trials, yet this is often a neglected area of training. Finally, the science of research synthesis is at the other spectrum of causal research. Systematic reviews, meta-analysis, clinical practice guidelines, and risk assessment should all be part of the causal research tool kit for epidemiologists. As we discuss the new frontiers of veterinary science, we have a unique opportunity to rethink what it means to be an epidemiologist with better observational research and embracing approaches beyond observational studies.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"051edb90-d4a2-4777-b195-cd3ea7c02904","Title":"Ms.","FirstName":"Annette","LastName":"O'Connor","Position":"Professor","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"O'Connor A"}],"Affiliations":[],"AuthorsHtml":"O'Connor A","AffiliationsHtml":""}],"DisplayName":"Annette O'Connor","TimeDisplay":null},{"ContactId":"20d0bd6b-7418-47c0-850c-c2c59ceeac6a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"James","LastName":"Oguttu","Position":null,"Organization":"University of South Africa","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f255e851adef4fafbadeb148add2e0fb","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"WaNamwini","_facebookUrl":"www.facebook.com/james.w.oguttu","_linkedInUrl":"linkedin.com/in/oguttu- james-0b570722","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"WaNamwini","FacebookUrl":"www.facebook.com/james.w.oguttu","LinkedInUrl":"linkedin.com/in/oguttu- james-0b570722","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=WaNamwini","FullFacebookUrl":"http://www.facebook.com/james.w.oguttu","FullLinkedInUrl":"http://linkedin.com/in/oguttu- james-0b570722","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":4},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=WaNamwini","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.facebook.com/james.w.oguttu","Font":"fab fa-facebook-square","Color":"#3b5998"},{"Link":"http://linkedin.com/in/oguttu- james-0b570722","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"African Swine Fever (ASF) in uThukela District, KwaZulu Natal Province, South Africa: A study of knowledge attitude and practices among emerging farmers","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e0d8d388-05e4-4e68-99fb-7f019e2695bb","Html":null,"PlainText":"Key words: pigs, symptoms of ASF, biosecurity
Background: The endemic status of ASF in some South African provinces pose a challenge to the pig industry.
Objective(s): We assessed the knowledge, attitude and practices towards ASF among emerging pig farmers.
Method and Materials: A cross-sectional study design with a structured questionnaire was use in this study. All qualifying emerging pig farmers were invited, but only 426 consented to participate. Data was analysed using descriptive statistics.
Results: Only 31.46% of the farmers identified ASF as a viral and contagious disease. While just under half (44.84%) of the farmers indicated that only pigs were susceptible to ASF, 39.67% identified pigs, wild pigs and warthogs. Very few farmers identified wild pigs (9.62%) and warthogs (5.87%) as the only animals susceptible to ASF. In terms of factors important for the spread of ASF, 39.91% mentioned only illegal movement of pigs, while 32.63% identified illegal movement of pigs, lack of foot bath or biosecurity, and feeding swill. On the other hand, a low proportion of farmers identified lack of foot bath (19.25%) and biosecurity (8.22%). In terms of the symptoms of ASF, 59.62% identified high fever, death occurring in 15-45 days, and ocular discharge, while a low number identified a high fever (12.44%), death in 15-45 days (12.44%) and ocular discharge (9.62%). With regard to attitude, 92.72% were aware that an outbreak of ASF would have a disastrous economic consequence, and 89.44% were aware that ASF is a notifiable disease. In event of an outbreak of ASF, all respondents would inform the responsible authorities. 57.28% of the respondents fed their pigs with swill and 38.50% hunted wild pigs.
Conclusion: Majority farmers displayed a good attitude towards ASF. However, educational campaigns to improve knowledge and enforce a positive attitude and good practices towards ASF are needed.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e0d8d388-05e4-4e68-99fb-7f019e2695bb","Title":"Ms.","FirstName":"Nicol Mbali","LastName":"Thusi","Position":"Animal Health Technician","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Thusi N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e0d8d388-05e4-4e68-99fb-7f019e2695bb","Number":1,"Affiliation":"Department of Agriculture ","City":"Durban","State":"Kwazulu Natal","Country":"South Africa","AffiliationDisplay":"Department of Agriculture , Durban Kwazulu Natal, South Africa"}],"AuthorsHtml":"Thusi N1","AffiliationsHtml":"
1Department of Agriculture , Durban Kwazulu Natal, South Africa
"}],"DisplayName":"James Oguttu","TimeDisplay":null},{"ContactId":"7568438d-5058-4236-b46f-1896bee7676a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kathleen","LastName":"O'Hara","Position":"Post-doctoral Scholar","Organization":"UC Davis","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Modeling the spread of African swine fever and targeted interventions in Republic of North Macedonia ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"517aa74a-9a35-4504-8a70-e516fdde5892","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Html":null,"PlainText":"Objectives:
The global spread of African swine fever (ASF) continues, including the report of the Republic of North Macedonia’s first cases in January 2022. This work aimed to provide a better understanding of potential transmission routes of ASF in the country and to evaluate the implementation of mitigation strategies for reducing disease spread.

Materials and methods:
Domestic pig and wild boar population demographics, and live pig movement data from 2017-2019, informed a spatially-explicit stochastic agent-based disease spread model. ASF spread was simulated across a hexagonal grid of 10 km radius cells. Within each cell, disease transmission was modeled by a susceptible-infected-removed compartment approach. The magnitude and duration of the epidemic, as well as the time to detection and other relevant parameters, were estimated. Random forest and classification regression trees were used to assess the influence and interactions of model parameters.

Results:
Our model estimated the expected number of infected pig herds and infected wild boar within 1 year following introduction were 30 (28, 32) and 26 (23, 28), respectively. Stamping out infected pig herds reduced these herd estimates to 23 (19, 27). Reducing the average time to detection from 30 to 14 days reduced the expected number of infected pig herds to 12 (7, 17). Improved biosecurity reduced the number of affected farms to 14 (9, 18).

Conclusion:
Through collaboration with North Macedonia’s Food and Veterinary Agency, and the Food and Agriculture Organization, this model provides critical information to support risk-based, cost-effective ASF prevention and response efforts, directing resources to areas with the highest risk of disease spread, and informing the most impactful and cost-effective mitigations. Further, this work provides data on the pig sector in this region, informing future trainings, risk assessments, and future ASF modeling efforts.

Keywords: African swine fever, modeling, Republic of North Macedonia, Sus scrofa, pigs","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Title":"Dr.","FirstName":"Kathleen","LastName":"O'Hara","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"O'Hara K"},{"PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Title":"Dr.","FirstName":"Jose Pablo ","LastName":"Gómez-Vázquez","Position":"Postdoctoral Scholar","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gómez-Vázquez J"},{"PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Title":"Dr.","FirstName":"Carlos","LastName":"González-Crespo","Position":"Postdoctoral Scholar","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"González-Crespo C"},{"PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Title":"Dr.","FirstName":"Daniel","LastName":"Beltrán-Alcrudo","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Beltrán-Alcrudo D"},{"PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Title":"Dr.","FirstName":"Mark","LastName":"Hovari","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Hovari M"},{"PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Title":"Dr.","FirstName":"Blagojcho","LastName":"Tabakovski","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Tabakovski B"},{"PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Title":"Professor","FirstName":"Beatriz","LastName":"Martínez-López","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Martínez-López B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Number":1,"Affiliation":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"192cfb6f-9886-4e4d-85e1-fe4464b279ae","Number":2,"Affiliation":"Food and Agriculture Organization of the United Nations (FAO), Regional Office for Europe and Central Asia","City":"Budapest","State":null,"Country":"Hungary","AffiliationDisplay":"Food and Agriculture Organization of the United Nations (FAO), Regional Office for Europe and Central Asia, Budapest, Hungary"}],"AuthorsHtml":"O'Hara K1, Gómez-Vázquez J1, González-Crespo C1, Beltrán-Alcrudo D2, Hovari M2, Tabakovski B, Martínez-López B1","AffiliationsHtml":"
1Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis CA, USA
2Food and Agriculture Organization of the United Nations (FAO), Regional Office for Europe and Central Asia, Budapest, Hungary
"},{"Title":"Network analysis of live pig movements in the Republic of North Macedonia: pathways for disease spread ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"cb16ef5e-45c6-424e-a69c-d7887e2b1adb","Html":null,"PlainText":"Objectives:
Globalization of trade, and the interconnectivity of animal production systems, continues to challenge efforts to control disease. A better understanding of trade networks supports development of more effective strategies for mitigation of transboundary animal diseases such as African swine fever (ASF). The Republic of North Macedonia reported its first cases of ASF in January 2022. This study aimed to describe the distribution of pigs and pig farms in North Macedonia, and to characterize the live pig movement network, informing areas of highest disease introduction risk and pathways for disease transmission through the movement of live animals.
Materials and Methods:
National pig census data from 2016-2020 was obtained from the Food and Veterinary Agency. Official live pig movement permit data for 2017-2019 was used to perform a national level social network analysis. Due to the high turnover of smallholder farms, each year was analyzed separately. Network parameters and node level characteristics were described using centrality measures, community detection, mapping and Jaccard index.
Results:
Network analyses consistently described weakly connected components with a few primary hubs that most nodes shipped to. Fragmentation of the network was observed in 2019, with a marked decrease in betweenness and increase in communities. Most shipments occurred within 50 km, with movements less than 6 km being the most common (22.5%). Nodes with the highest indegree and outdegree were consistent across years, despite a large turnover among smallholder farms. Movements to slaughter predominated (85.6%), with movements between farms (5.4%) and movements to market (5.8%) playing a lesser role.
Conclusions:
This description of North Macedonia’s live pig movement network should enable implementation of more efficient and cost-effective mitigation strategies in country, and inform targeted educational outreach, and provide data for future disease modeling, in the region.
Keywords: social network analysis, Republic of North Macedonia, transboundary animal disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cb16ef5e-45c6-424e-a69c-d7887e2b1adb","Title":"Dr.","FirstName":"Kathleen","LastName":"O'Hara","Position":"Post-doctoral Scholar","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"O'Hara K"},{"PresentationId":"cb16ef5e-45c6-424e-a69c-d7887e2b1adb","Title":"Dr.","FirstName":"Daniel","LastName":"Beltrán-Alcrudo","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Beltrán-Alcrudo D"},{"PresentationId":"cb16ef5e-45c6-424e-a69c-d7887e2b1adb","Title":"Dr.","FirstName":"Mark","LastName":"Hovari","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Hovari M"},{"PresentationId":"cb16ef5e-45c6-424e-a69c-d7887e2b1adb","Title":"Dr.","FirstName":"Blagocho","LastName":"Tabakovski","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Tabakovski B"},{"PresentationId":"cb16ef5e-45c6-424e-a69c-d7887e2b1adb","Title":"Professor","FirstName":"Beatriz","LastName":"Martinez-Lopez","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Martinez-Lopez B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb16ef5e-45c6-424e-a69c-d7887e2b1adb","Number":1,"Affiliation":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, UC Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, UC Davis, Davis CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb16ef5e-45c6-424e-a69c-d7887e2b1adb","Number":2,"Affiliation":"Food and Agriculture Organization of the United Nations (FAO), Regional Office for Europe and Central Asia ","City":" Budapest","State":null,"Country":"Hungary","AffiliationDisplay":"Food and Agriculture Organization of the United Nations (FAO), Regional Office for Europe and Central Asia , Budapest, Hungary"}],"AuthorsHtml":"O'Hara K1, Beltrán-Alcrudo D2, Hovari M2, Tabakovski B, Martinez-Lopez B1","AffiliationsHtml":"
1Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine & Epidemiology, School of Veterinary Medicine, UC Davis, Davis CA, USA
2Food and Agriculture Organization of the United Nations (FAO), Regional Office for Europe and Central Asia , Budapest, Hungary
"}],"DisplayName":"Kathleen O'Hara","TimeDisplay":null},{"ContactId":"413f35c8-4b4f-4550-979e-e70ae4b22da7","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Rasaq","LastName":"Ojasanya","Position":null,"Organization":"Atlantic Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d9a0cdc7d6f44d8fa499c9565451534a","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Antimicrobial susceptibility patterns of bacteria commonly isolated from farmed salmonids in Atlantic Canada (2000-2021)","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"42d30cc8-6b12-409f-923e-ad120d6ae806","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"a7882e06-94c7-4541-8c55-6f5ddfdb0766","Html":null,"PlainText":"Bacterial infection and antimicrobial resistance are important constraints in the production and sustainability of farmed salmonids. There are, however, limited scientific reports on the evaluation of antimicrobial resistance in salmonids.

Objective: This retrospective study aimed to describe the frequency of bacterial isolates and antimicrobial resistance patterns in salmonid aquaculture in Atlantic Canada.

Materials and methods: Bacterial isolates and antimicrobial susceptibility testing (AST) results assessed by disk diffusion testing were summarized for 18,776 Atlantic salmon (Salmo salar) and rainbow trout (Oncorhynchus mykiss) samples from 2,291 unique cases submitted to the Atlantic Veterinary College, Aquatic Diagnostic Services Bacteriology Laboratory from 2000 to 2021.

Results: Kidney was the most commonly submitted tissue (60.0%, n=11,320), and these specimens were mostly submitted as swabs (63.7%, n=11,957). The most prevalent pathogens detected in these cases were Yersinia ruckeri type 1 (5.5%, n=127), Renibacterium salmoninarum (2.1%, n=48), Aeromonas salmonicida (atypical) (1.7%, n=38), and Pseudomonas fluorescens (1.2%, n=28). None of the bacterial isolates with susceptibility test results (n=918) showed resistance to enrofloxacin. Aeromonas salmonicida (atypical) was highly resistant (>90%) to oxytetracycline and ampicillin. In contrast, Aeromonas salmonicida (typical) was highly susceptible (>90%) to ampicillin. None of the bacteria tested showed an increasing resistance trend for any of the tested antimicrobials over the study period.

Conclusion: This report provides baseline data for antimicrobial surveillance programs that investigate emerging antimicrobial resistance trends in salmonid aquaculture.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a7882e06-94c7-4541-8c55-6f5ddfdb0766","Title":"Dr.","FirstName":"Rasaq","LastName":"Ojasanya","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ojasanya R"},{"PresentationId":"a7882e06-94c7-4541-8c55-6f5ddfdb0766","Title":"Dr.","FirstName":"Ian","LastName":"Gardner","Position":"Faculty","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gardner I"},{"PresentationId":"a7882e06-94c7-4541-8c55-6f5ddfdb0766","Title":"Dr.","FirstName":"David","LastName":"Groman","Position":"Faculty","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Groman D"},{"PresentationId":"a7882e06-94c7-4541-8c55-6f5ddfdb0766","Title":"Dr.","FirstName":"Sonja","LastName":"Saksida","Position":"Faculty","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Saksida S"},{"PresentationId":"a7882e06-94c7-4541-8c55-6f5ddfdb0766","Title":"Mr","FirstName":"Matthew","LastName":"Saab","Position":"Diagnostics","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Saab M"},{"PresentationId":"a7882e06-94c7-4541-8c55-6f5ddfdb0766","Title":"Dr.","FirstName":"Krishna","LastName":"Thakur","Position":"Faculty","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Thakur K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a7882e06-94c7-4541-8c55-6f5ddfdb0766","Number":1,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a7882e06-94c7-4541-8c55-6f5ddfdb0766","Number":2,"Affiliation":"Aquatic Diagnostic Services, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Aquatic Diagnostic Services, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"}],"AuthorsHtml":"Ojasanya R1, Gardner I1, Groman D2, Saksida S1, Saab M2, Thakur K1","AffiliationsHtml":"
1Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
2Aquatic Diagnostic Services, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
"}],"DisplayName":"Rasaq Ojasanya","TimeDisplay":null},{"ContactId":"2dd70d38-a403-4915-a12d-8650b1512163","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Chika","LastName":"Okafor","Position":"Associate Professor","Organization":"University of Tennessee","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Screening of antibiotic residues in beef, eggs, and honey, sold in farmers’ and conventional markets in east Tennessee, and effect of cooking on the residues ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"26d7096e-da0d-4d6e-b855-74ce32a2ffb5","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"f4456c1c-e5e3-45e1-a85e-1ccc942f36c2","Html":null,"PlainText":"Objectives
The objectives were to assess the concentration of antibiotic residues in beef, eggs, and honey sold in farmers’ and conventional markets in East Tennessee; and evaluate the effect of cooking temperature on the concentration of antibiotic residues in the foods.
Materials and Methods
Between July 2020 and June 2021, beef (n=17), eggs (n=66), and honey (n=17) samples were purchased from selected East Tennessee farmers’ and conventional markets. Beef, eggs, and honey samples were cooked for 30 minutes at 71 degrees Celsius. Tetracycline, erythromycin, and sulfonamide residues were measured in raw and cooked samples by using an enzyme-linked immunosorbent assay. A sample was considered positive for antibiotic residues if the samples had detectable antibiotic residues. Kruskal-Wallis test was performed to examine the difference between the concentrations of antibiotic residues by foods.
Results
In farmers’ market beef, the median concentration of tetracycline, erythromycin, and sulfonamides was 3.3 ppb, 12.9 ppb, and 812.5 ppb, respectively. In conventional markets beef, the median concentration of tetracycline and erythromycin was 2.3 ppb and 8.8 ppb respectively. In farmers’ market eggs, the median concentration of tetracycline and sulfonamides were 17.2 and 876.4 ppb, respectively. In conventional markets eggs, the median concentration of tetracycline was 3.2 ppb and had no sulfonamides in eggs. In farmer’s market honey, the median concentration of tetracycline and erythromycin were 142.1 ppb and 3.0 ppb, respectively. In conventional markets honey, the median concentration of tetracycline and erythromycin was 52.9 ppb and 3.3 ppb, respectively. Only one beef and one egg sample had concentrations above the allowable maximum residues limit (MRL) set in the U.S. The effect of cooking temperature on antibiotic residues is under analysis.

Conclusions
Study findings indicate most of these samples had antibiotic residues that did not exceed the MRLs set in the U.S, except for a few individual samples.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f4456c1c-e5e3-45e1-a85e-1ccc942f36c2","Title":"Dr.","FirstName":"Shamim","LastName":"Sarkar","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Sarkar S"},{"PresentationId":"f4456c1c-e5e3-45e1-a85e-1ccc942f36c2","Title":"Dr.","FirstName":"Marcy","LastName":"Souza","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Souza M"},{"PresentationId":"f4456c1c-e5e3-45e1-a85e-1ccc942f36c2","Title":"Dr.","FirstName":"Tomas","LastName":"Martin-Jimenez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Martin-Jimenez T"},{"PresentationId":"f4456c1c-e5e3-45e1-a85e-1ccc942f36c2","Title":"Dr.","FirstName":"Mohamed","LastName":"Abouelkhair","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Abouelkhair M"},{"PresentationId":"f4456c1c-e5e3-45e1-a85e-1ccc942f36c2","Title":"Dr.","FirstName":"Stephen","LastName":"Kania","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Kania S"},{"PresentationId":"f4456c1c-e5e3-45e1-a85e-1ccc942f36c2","Title":"Dr.","FirstName":"Chika","LastName":"Okafor","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Okafor C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f4456c1c-e5e3-45e1-a85e-1ccc942f36c2","Number":1,"Affiliation":"University of Tennessee","City":"Knoxville","State":"TN","Country":"USA","AffiliationDisplay":"University of Tennessee, Knoxville TN, USA"}],"AuthorsHtml":"Sarkar S1, Souza M1, Martin-Jimenez T1, Abouelkhair M1, Kania S1, Okafor C1","AffiliationsHtml":"
1University of Tennessee, Knoxville TN, USA
"}],"DisplayName":"Chika Okafor","TimeDisplay":null},{"ContactId":"1b045f21-8040-4710-9649-aeaff2027999","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Rodney","LastName":"Okwasiimire","Position":"Research Assistant","Organization":"Makerere University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0aa8e1ae679d4ffa8c2dc3acb39258c0","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluation of meat-juice and muscle-swabs against spleen and spleen-swabs as alternative diagnostic samples for African Swine Fever testing using an OIE approved rt-PCR assay","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2d77de54-5094-466c-877d-8e456f117779","Html":null,"PlainText":"ASF, meat-juice, rt-PCR, spleen, swab

Evaluate the sensitivity of meat juice against the approved spleen and spleen-swab samples for ASF detection.
Evaluate the sensitivity of meat swabs against the approved spleen and spleen-swab samples for ASF detection.

Persistent ASF outbreaks usually result in panic sell-off of animals to slaughter houses in and around Uganda’s capital, Kampala. Pigs included in this study (321) were visually assessed for signs and lesions consistent with ASF at the slaughter house. This included evidence of diarrhea, skin discoloration, enlarged and hemorrhagic spleen or lymph nodes, and/or kidney petechiation. Samples collected included diaphragm and spleen muscles plus swabs that were vigorously rubbed on the cut muscle surfaces. Muscle juice was collected from thawed diaphragm muscles following overnight freezing at -20°C. DNA was extracted from the samples using Qiagen DNeasy kits and analyzed for ASF by real-time PCR.

Positive results were highest for meat juice (75.08%) and lowest for meat swabs (46.11%). Comparison of meat juice against spleen and spleen swabs showed higher proportions of false positives (40.95%, 38.08%) than negatives (39.39%, 30.88%). There were higher proportions of true positives (84.05%, 87.57%) relative to negatives (29.63%, 34.06%), with a higher positive predictive value for meat juice against spleen swabs (0.619) compared to the spleen (0.591). For meat swabs, higher false negative proportions (42.26%, 41.77%) than positives (30.28%,31.29%), having a slight difference in true positives (58.24%, 58.72%) and negatives (69.29%, 68.28%) were seen. Positive predictive values that were almost identical (0.697, 0.687) were observed.

Meat juice shows greater sensitivity than muscle swabs for ASF detection. Whereas this study shows meat juice as being more reliable, its use is limited by the need to freeze and thaw samples. Meat juice showed more positives than spleen and spleen swabs, thus an experimental study to correlate these findings should be undertaken.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2d77de54-5094-466c-877d-8e456f117779","Title":"Mr.","FirstName":"Rodney","LastName":"Okwasiimire","Position":"Research Assistant","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Okwasiimire R"},{"PresentationId":"2d77de54-5094-466c-877d-8e456f117779","Title":"Dr.","FirstName":"Dickson","LastName":"Ndoboli","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ndoboli D"},{"PresentationId":"2d77de54-5094-466c-877d-8e456f117779","Title":"Dr.","FirstName":"John Eddie","LastName":"Ekakoro","Position":"Postdoctoral Associate","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Ekakoro J"},{"PresentationId":"2d77de54-5094-466c-877d-8e456f117779","Title":"Dr","FirstName":"Edward","LastName":"Wampande","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Wampande E"},{"PresentationId":"2d77de54-5094-466c-877d-8e456f117779","Title":"Dr","FirstName":"Karyn","LastName":"Havas","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Havas K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2d77de54-5094-466c-877d-8e456f117779","Number":1,"Affiliation":"Central Diagnostic Laboratory, College Of Veterinary medicine, Animal resources and Biosecurity - Makerere University","City":"Kampala","State":null,"Country":"Uganda","AffiliationDisplay":"Central Diagnostic Laboratory, College Of Veterinary medicine, Animal resources and Biosecurity - Makerere University, Kampala, Uganda"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2d77de54-5094-466c-877d-8e456f117779","Number":2,"Affiliation":"College of Veterinary medicine, Cornell University","City":"Ithaca","State":"NewYork","Country":"USA","AffiliationDisplay":"College of Veterinary medicine, Cornell University, Ithaca NewYork, USA"}],"AuthorsHtml":"Okwasiimire R1, Ndoboli D1, Ekakoro J2, Wampande E1, Havas K2","AffiliationsHtml":"
1Central Diagnostic Laboratory, College Of Veterinary medicine, Animal resources and Biosecurity - Makerere University, Kampala, Uganda
2College of Veterinary medicine, Cornell University, Ithaca NewYork, USA
"}],"DisplayName":"Rodney Okwasiimire","TimeDisplay":null},{"ContactId":"7e7b3331-235d-4119-90cb-ae40a9c03373","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ana","LastName":"Oliveira","Position":"Research Fellow","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessing knowledge and uptake of good farming practices among smallholder pig producers in Uganda","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7ef23fe7-0a8c-4a54-afbd-b854c4e18dee","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Html":null,"PlainText":"1. Objective(s): A cluster randomized control trial was designed to assess the effects of an SMS-based knowledge dissemination program on knowledge and uptake of good farming practices among smallholder pig producers in Uganda. We present the results of the first phase of analysis aimed at: 1) developing relevant scales to measure knowledge and uptake of practices (trial outcome measures) and 2) verifying their performance.
2. Materials and methods: Questions from the trial’s baseline survey were selected based on the content shared via SMSs and combined to develop two tests: one to assess level of knowledge about good pig farming practices (knowledge test), and another to assess the uptake of such practices (practice uptake test). An expert consultation was conducted to support the scoring of the questions (all on a 0 to 1 scale). Questions were screened for consistency across experts and inconsistently scored options (SD>0.30) were removed from the tests. Item response theory models (IRT) were used for post-hoc assessment of the scales’ ability to measure knowledge and uptake of practices (latent variables).
3. Results: The final knowledge and practice uptake tests included 10 and 13 (from an initial set of 15) questions, respectively. Results from the IRT model using a reduced set of five questions that made up a unidimensional scale for knowledge showed this scale had good discriminatory ability among producers with lower-than-average knowledge but lacked discriminatory ability among individuals with above average knowledge. The IRT model for the practice uptake test did not converge.
4. Conclusion: The information obtained in the baseline survey does not allow building a robust knowledge or practice uptake scale to be used in the evaluation of the program. Alternative outcome measures should be explored.

Keywords: pig farming, knowledge scale, item response theory. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Title":"Dr.","FirstName":"Ana","LastName":"Oliveira","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Oliveira A"},{"PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Title":"Prof.","FirstName":"Ian","LastName":"Dohoo","Position":"Emeritus Faculty","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Dohoo I"},{"PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Title":"Dr.","FirstName":"Emmanuel ","LastName":"Muunda","Position":"Research Associate","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Muunda E"},{"PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Title":"Dr.","FirstName":"Nicholas","LastName":"Ngwili","Position":"Graduate Fellow","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Ngwili N"},{"PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Title":"Dr.","FirstName":"Kristina","LastName":"Roesel","Position":"Joint Appointment Scientist ILRI-FUB","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Roesel K"},{"PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Title":"Dr.","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist - Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Alonso S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Number":1,"Affiliation":"International Livestock Research Institute","City":"Addis Ababa","State":null,"Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute, Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Number":2,"Affiliation":"Centre for Veterinary Epidemiological Research, University of Prince Edward Island","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"Centre for Veterinary Epidemiological Research, University of Prince Edward Island, Charlottetown PEI, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a8023e5e-c954-40f2-8992-975b930c354f","Number":3,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi, Kenya"}],"AuthorsHtml":"Oliveira A1, Dohoo I2, Muunda E3, Ngwili N3, Roesel K3, Alonso S1","AffiliationsHtml":"
1International Livestock Research Institute, Addis Ababa, Ethiopia
2Centre for Veterinary Epidemiological Research, University of Prince Edward Island, Charlottetown PEI, Canada
3International Livestock Research Institute, Nairobi, Kenya
"},{"Title":"Characterizing predatory publishing: A scoping review","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4361cb87-e2eb-4696-8985-c218f35f9c16","Html":null,"PlainText":"Objective(s): Predatory journals are a poorly understood threat to science. The objective of this study was to characterize the phenomenon of predatory publishing, by reviewing primary and secondary research and gray literature on the subject.
Materials and methods: A scoping review was conducted, using a search syntax to identify relevant literature published between 2010 and 2020 in four electronic databases: PubMed, CAB Direct, Scopus, and Web of Science. Initial screening was performed by reviewing the titles and abstracts. Selected articles were downloaded in full when available, reviewed, and information extracted by three reviewers, using a structured template. Qualitative data was summarized in four main themes: definition of predatory publishing, profile of targeted authors, impact of predatory publishing, and available solutions.
Results: In total 113 full articles were included in the review. Predatory publishing affects authors from all countries, although researchers from low- and middle-income countries are most likely to be targeted. Reasons to publish include a lack of awareness of the phenomenon, coupled with the pressure to publish and the easy process that predatory journals offer, very appealing particularly to early career scientists. Predatory publishing has impacts in three main areas: reducing researchers’ credibility, lowering the quality of scientific evidence globally, and affecting the service provided by legitimate journals. Raising awareness of the issue and early identification of predatory journals are important solutions, but must be coupled with technical answers, such as the use of virtual platforms that facilitate practice of due diligence by authors and institutions before manuscript submission. It also requires a joint effort by scientists, editors, and publishers to develop guidance on good practices for the scientific community.
Conclusion: The findings from this synthesis give insights that will be helpful to the scientific community in their efforts to fight predatory publishing.
Key words: predatory journals, publishing ethics","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4361cb87-e2eb-4696-8985-c218f35f9c16","Title":"Dr.","FirstName":"Emily","LastName":"Kilonzi","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Kilonzi E"},{"PresentationId":"4361cb87-e2eb-4696-8985-c218f35f9c16","Title":"Dr.","FirstName":"Lina","LastName":"Mego","Position":"Research Officer","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Mego L"},{"PresentationId":"4361cb87-e2eb-4696-8985-c218f35f9c16","Title":"Ms.","FirstName":"Ana","LastName":"Oliveira","Position":"Research Fellow","Affiliations":"2","IsPresenting":true,"SortOrder":3,"DisplayName":"Oliveira A"},{"PresentationId":"4361cb87-e2eb-4696-8985-c218f35f9c16","Title":"Miss","FirstName":"Silvia","LastName":"Alonso","Position":"Senior Scientist Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Alonso S"},{"PresentationId":"4361cb87-e2eb-4696-8985-c218f35f9c16","Title":"Mr.","FirstName":"S.","LastName":"Gameda","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Gameda S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4361cb87-e2eb-4696-8985-c218f35f9c16","Number":1,"Affiliation":"International Livestock Research Institute","City":"P.O. Box 30709","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, P.O. Box 30709 Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4361cb87-e2eb-4696-8985-c218f35f9c16","Number":2,"Affiliation":"International Livestock Research Institute","City":"P.O. Box 5689","State":"Addis Ababa","Country":"Ethiopia","AffiliationDisplay":"International Livestock Research Institute, P.O. Box 5689 Addis Ababa, Ethiopia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4361cb87-e2eb-4696-8985-c218f35f9c16","Number":3,"Affiliation":"International Maize and Wheat Improvement Center (CIMMYT)","City":"P.O. Box 5689","State":"Addis Ababa","Country":"Ethiopia","AffiliationDisplay":"International Maize and Wheat Improvement Center (CIMMYT), P.O. Box 5689 Addis Ababa, Ethiopia"}],"AuthorsHtml":"Kilonzi E1, Mego L2, Oliveira A2, Alonso S2, Gameda S3","AffiliationsHtml":"
1International Livestock Research Institute, P.O. Box 30709 Nairobi, Kenya
2International Livestock Research Institute, P.O. Box 5689 Addis Ababa, Ethiopia
3International Maize and Wheat Improvement Center (CIMMYT), P.O. Box 5689 Addis Ababa, Ethiopia
"}],"DisplayName":"Ana Oliveira","TimeDisplay":null},{"ContactId":"c6508b3b-2212-4233-adb9-41e573fb54f0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gabriela","LastName":"Olmos Antillón","Position":"Researcher","Organization":"SLU","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4ffa7f27e28f4d888231ceb5c61f09c9","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Fertility lags behind to be perceived a problem in farms affected by extreme weather – A qualitative study ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"59a6345c-0a5e-4145-929d-90dd09b5ca21","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"d72063be-7522-4657-b169-a25bc30774f2","Html":null,"PlainText":"In Sweden, the \"extreme\" summers (e.g. warm, dry) are becoming the new normal and adaptation is necessary due to the severe impact on dairy farmers. As the perception of a situation impacts decision-making, farmers' recognition of issues associated with extreme weather, e.g. heat stress, will impact mitigation actions and thereby future resilience. This study aimed to increase the understanding of these perceptions.

We used data from the Swedish milk and disease recording system from 2016-2019 to map seasonal dairy cow health and productivity trends. Using somatic cell count (SCC) and fertility measures, 45 farmers located in different regions, including farms heavily (cases) and less (controls) impacted by summer, were recruited and surveyed twice. Also, in-depth conversations with 18 participating farmers were voice-recorded, transcribed and thematically analyzed.

Summer was associated with reduced milk production and increased SCC on a national level. The impact on the herd fertility was most clearly observed as shift in the calving pattern with an increase in calvings during spring. In conversations, farmers perceived and described a direct connection between heat/dry weather and increased SCC and refered to immediate actions that could be applied. However, although farmers also described fertility issues, like animals not showing heat or calving out of time, they did not associate these with extreme weather events, nor mentioned defined actions that could aid them. In addition, farmers failed to associate impaired fertility and long term farm consequences resulting from uneven calvings, which farmers often mentioned as a problem that increased workload and shifted farmers priorities during summer.

Our study suggests that dairy farmers oversee the impacts extreme weather can have on fertility due to the lag between events and consequences. Thus, we propose increasing awareness about heat and fertility impacts and discussing tools/actions that may improve farm readiness. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d72063be-7522-4657-b169-a25bc30774f2","Title":"Dr.","FirstName":"Lena-Mari","LastName":"Tamminen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Tamminen L"},{"PresentationId":"d72063be-7522-4657-b169-a25bc30774f2","Title":"Dr","FirstName":"Renée","LastName":"Båge","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Båge R"},{"PresentationId":"d72063be-7522-4657-b169-a25bc30774f2","Title":"Dr","FirstName":"Gabriela","LastName":"Olmos Antillón","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Olmos Antillón G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d72063be-7522-4657-b169-a25bc30774f2","Number":1,"Affiliation":"Department of Clinical Sciences, Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden"}],"AuthorsHtml":"Tamminen L1, Båge R1, Olmos Antillón G1","AffiliationsHtml":"
1Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
"}],"DisplayName":"Gabriela Olmos Antillón","TimeDisplay":null},{"ContactId":"a2d16870-8fcc-4505-aebb-4ea2f8f1864c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ryosuke","LastName":"Omori","Position":"","Organization":"Hokkaido University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4d40276c6e08415da33d1b732af427b6","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Coupling experiment and field observation by mathematical modeling to understand fish disease outbreak","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7e30a9c-236f-4ba3-b0a6-7c7cd4fd235d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.D - Infectious Disease Modeling","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"8117029c-6a46-45cc-ba7b-376b5a6a7101","Html":null,"PlainText":"Objectives: Epidemiological analysis of infectious diseases is the first step of infectious disease control. Generally, epidemiological analysis of infectious diseases is time-series analysis of the number of infected individuals. As for fish diseases, only the time-series data of deaths is available due to the difficulty in the diagnosis coming from unclear symptoms and cost. We constructed the framework of epidemiological analysis when only the time-series data of dead fish is available.

Material and Methods: As a case study we analyzed the time-series data of the number of deaths in outbreaks of Oncorhynchus masou virus (OMV) disease in reared rainbow trout. First, the infection experiments were conducted for understanding disease progression. We also constructed a mathematical model describing disease progression, and applied it to the data of disease progression acquired from infection experiments. Using this model, the time-series of incidence was back-calculated from the time-series of deaths in outbreaks. Applying obtained time-series of incidence to the mathematical model describing the transmission process between susceptibles and infectives, we estimated the basic reproduction number of OMV to evaluate transmissibility.

Results: The infection experiment revealed that the large fish (≥200 g) shows higher lethality rate by OMV infection compared with the small fish (<200 g). The estimated basic reproduction number of large fish is also higher than small fish. This suggest that OMV transmission among large fish is still higher than that among small fish even though the reduction of infectives due to the high lethality rate by OMV infection is taken into account.

Conclusions: Time-series of the number of deaths can be applied to the time-series analysis of a fish disease epidemic. Both experimental infection and mathematical modeling for understanding the disease progression are required to back-calculate incidence and estimate epidemiological parameters including the basic reproduction number.

Keywords: fish disease; epidemiology; mathematical modeling","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8117029c-6a46-45cc-ba7b-376b5a6a7101","Title":"Dr.","FirstName":"Ryosuke","LastName":"Omori","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Omori R"},{"PresentationId":"8117029c-6a46-45cc-ba7b-376b5a6a7101","Title":"Dr.","FirstName":"Ryota","LastName":"Matsuyama","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Matsuyama R"},{"PresentationId":"8117029c-6a46-45cc-ba7b-376b5a6a7101","Title":"Mr.","FirstName":"Mitsuru","LastName":"Furihata","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Furihata M"},{"PresentationId":"8117029c-6a46-45cc-ba7b-376b5a6a7101","Title":"Dr.","FirstName":"Hisae","LastName":"Kasai","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Kasai H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8117029c-6a46-45cc-ba7b-376b5a6a7101","Number":1,"Affiliation":"International Institute for Zoonosis Control, Hokkaido University","City":"Sapporo","State":"Hokkaido","Country":"Japan","AffiliationDisplay":"International Institute for Zoonosis Control, Hokkaido University, Sapporo Hokkaido, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8117029c-6a46-45cc-ba7b-376b5a6a7101","Number":2,"Affiliation":"Graduate School of Biomedical and Health Sciences, Hiroshima University","City":"Hiroshima","State":"Hiroshima","Country":"Japan","AffiliationDisplay":"Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima Hiroshima, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8117029c-6a46-45cc-ba7b-376b5a6a7101","Number":3,"Affiliation":"Nagano Prefectural Fisheries Experimental Station","City":"Azumino","State":"Nagano","Country":"Japan","AffiliationDisplay":"Nagano Prefectural Fisheries Experimental Station, Azumino Nagano, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8117029c-6a46-45cc-ba7b-376b5a6a7101","Number":4,"Affiliation":"Faculty of Fisheries Sciences, Hokkaido University","City":"Hakodate","State":"Hokkaido","Country":"Japan","AffiliationDisplay":"Faculty of Fisheries Sciences, Hokkaido University, Hakodate Hokkaido, Japan"}],"AuthorsHtml":"Omori R1, Matsuyama R2, Furihata M3, Kasai H4","AffiliationsHtml":"
1International Institute for Zoonosis Control, Hokkaido University, Sapporo Hokkaido, Japan
2Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima Hiroshima, Japan
3Nagano Prefectural Fisheries Experimental Station, Azumino Nagano, Japan
4Faculty of Fisheries Sciences, Hokkaido University, Hakodate Hokkaido, Japan
"}],"DisplayName":"Ryosuke Omori","TimeDisplay":null},{"ContactId":"5eb44c7a-65b2-43cd-81d6-322f82a60975","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tonje","LastName":"Opsal","Position":"Phd Student","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The association between anti-Ostertagia ostertagi antibody levels in individual and bulk tank milk in twenty Norwegian dairy herds ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"fd70e1eb-280b-4491-aee4-38210b1500e5","Html":null,"PlainText":"Objectives
The objective of this study was to investigate the association between Ostertagia ostertagi bulk tank milk (BTM) and individual milk samples using an antigen enzyme-linked immunosorbent assay (ELISA).

Materials and Methods
A cross-sectional field study was carried out in twenty herds in three regions of Norway in the fall of 2020. The sampling was purposive, selecting for herds with a suspected high parasite burden based on pasture management. None of the herds included used anthelmintic treatment. One BTM and individual milk samples from ten adult animals were collected from each herd, including cows of varied age and lactation stages. Specific antibodies were detected using antibody-ELISAs (Svanova Biotech) resulting in an optical density ratio (ODR) for each sample. Pearson correlation coefficient was applied to measure correlations between ODR values in individual milk samples and BTM.

Results
The mean ODR value of the BTM of the 20 herds in the study was 0.64 (range: 0.22 - 0.92, SD=0.17). The BTM ODR was higher than the herd average milk ODR in 90 % (18/20) of the samples. The correlation between BTM and individual milk ODR values was r= 0.42, and the correlation between BTM and average individual milk per herd ODR was r = 0.82.

Conclusion
The within-herd variation of the individual milk ODRs was large. There is a strong positive association between individual milk ODR and BTM ODR, which can potentially add practical value for future sampling for O.ostertagi.

Keyword: Pasture parasites

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"fd70e1eb-280b-4491-aee4-38210b1500e5","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c7bd7e809cca42ea897ea5ac7eff88dd","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"fd70e1eb-280b-4491-aee4-38210b1500e5","Title":"Ms.","FirstName":"Tonje","LastName":"Opsal","Position":"Phd Student","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Opsal T"},{"PresentationId":"fd70e1eb-280b-4491-aee4-38210b1500e5","Title":"Dr.","FirstName":"Ingrid","LastName":"Toftaker","Position":"Associate Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Toftaker I"},{"PresentationId":"fd70e1eb-280b-4491-aee4-38210b1500e5","Title":"Mr","FirstName":"Ian","LastName":"Woolsey","Position":"Postdoctoral Researcher","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Woolsey I"},{"PresentationId":"fd70e1eb-280b-4491-aee4-38210b1500e5","Title":"Ms","FirstName":"Lisbeth","LastName":"Hektoen","Position":"Associated Professor","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Hektoen L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fd70e1eb-280b-4491-aee4-38210b1500e5","Number":1,"Affiliation":"Norwegian University Life Sciences","City":"Aas","State":"Viken","Country":"Norge","AffiliationDisplay":"Norwegian University Life Sciences, Aas Viken, Norge"}],"AuthorsHtml":"Opsal T, Toftaker I, Woolsey I, Hektoen L","AffiliationsHtml":"
1Norwegian University Life Sciences, Aas Viken, Norge
"}],"DisplayName":"Tonje Opsal","TimeDisplay":null},{"ContactId":"b366f35b-85df-499a-869e-480e3176c7fd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marwan","LastName":"Osman","Position":"Post-Doc Associate","Organization":"Cornell University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5b0a5dec45ba4610a45279f751719ccf","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessing the effects of antimicrobial use policy on antimicrobial resistance in Salmonella Dublin","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d6f623a6-d91d-45cb-99a2-40656d80cd9a","Html":null,"PlainText":"Objectives: We aimed to compare antibiotic resistance prevalence and minimum inhibitory concentrations (MICs) of Salmonella enterica serovar Dublin among cattle in the United States before and after the restriction of extra-label cephalosporin use in 2012.

Materials and methods: From the publicly available National Antimicrobial Resistance Monitoring System (NARMS) database, we collected minimum inhibitory concentrations from 517 Salmonella Dublin isolated from cattle at slaughterhouses between 1999 and 2017. Isolates were classified as resistant or susceptible to 18 different antibiotics based on NARMS breakpoints. We used the Mann-Kendall test (MKT) to detect the presence of a significant trend in the percent of resistant isolates over the study period. Regression models were built with antibiotic resistance (logistic) and MIC values (Cox Proportional Hazards) as the outcome and isolation date, an indicator of before and after the restriction, and interaction term as explanatory variables.

Results: Overall, 66.7% were resistant to ampicillin, 48.1% to amoxicillin-clavulanate, 46.4% to ceftriaxone, 76% to tetracycline, and 11.6% to ciprofloxacin. The MKT revealed a significant increasing temporal trend for multidrug resistance, as well as all the aforementioned antibiotic resistances. Salmonella Dublin isolates were significantly more likely to demonstrate in vitro resistance and higher MIC values to the above-mentioned antibiotics in the 2015-2017 period compared to the period before the livestock antibiotic ban (1999-2011). However, our results highlighted that the cephalosporin restriction reduced the intensity of the increase in ceftriaxone resistance and MIC values, but not to the other antibiotics. We identified that chloramphenicol resistance is a great predictor of resistance to ampicillin, amoxicillin-clavulanate, ceftriaxone, and tetracycline.

Conclusion: This study showed that antibiotic resistance is still a growing public health concern among the cattle population in the United States. Indeed, the increasing resistance to antibiotics among Salmonella Dublin cattle isolates, including ceftriaxone, underlined the urgent need for immediate interventions.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d6f623a6-d91d-45cb-99a2-40656d80cd9a","Title":"Mr.","FirstName":"Marwan","LastName":"Osman","Position":"Post-Doc Associate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Osman M"},{"PresentationId":"d6f623a6-d91d-45cb-99a2-40656d80cd9a","Title":null,"FirstName":"Angelica","LastName":"Collins","Position":"DVM Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Collins A"},{"PresentationId":"d6f623a6-d91d-45cb-99a2-40656d80cd9a","Title":null,"FirstName":"Kevin","LastName":"J. Cummings","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"J. Cummings K"},{"PresentationId":"d6f623a6-d91d-45cb-99a2-40656d80cd9a","Title":"Ms.","FirstName":"Casey","LastName":"Cazer","Position":"Assistant Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Cazer C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d6f623a6-d91d-45cb-99a2-40656d80cd9a","Number":1,"Affiliation":"Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca NY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d6f623a6-d91d-45cb-99a2-40656d80cd9a","Number":2,"Affiliation":"Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca NY, USA"}],"AuthorsHtml":"Osman M1, Collins A1, J. Cummings K1, Cazer C1,2","AffiliationsHtml":"
1Department of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca NY, USA
2Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca NY, USA
"}],"DisplayName":"Marwan Osman","TimeDisplay":null},{"ContactId":"41f77187-91b3-4557-ab2a-a3c93d0a1b8d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Simon","LastName":"Otto","Position":"Associate Professor","Organization":"University of Alberta","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ac83e32bdf134bc0b487cbc76dfeb5d2","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"SimonOttoDVM","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"SimonOttoDVM","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=SimonOttoDVM","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=SimonOttoDVM","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Comparison of Antimicrobial Use in the British Columbia, Canada Finfish Aquaculture Industry to Global Salmonid Producers (2004-2018)","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"42d30cc8-6b12-409f-923e-ad120d6ae806","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Html":null,"PlainText":"Keywords: finfish aquaculture, antimicrobial use; surveillance; One Health

Objective: Surveillance of antimicrobial use (AMU) is pivotal to understanding antimicrobial resistance (AMR) as a global One Health issue for humans, animals, and the environment. The objective of this study was to analyze AMU trends in the British Columbia (BC), Canada finfish aquaculture industry and compare them to the top global salmonid producers.

Methods: The BC Ministry of Agriculture, Food and Fisheries provided anonymized annual prescription data (2004-2018) including the total finfish AMU (mg) compared to data from government reports for Norway, the United Kingdom (UK), and Chile. Annual finfish slaughter weights were obtained for each region to represent the total kg Population Correction Unit (PCUslaughter) to estimate biomass. The annual biomass-adjusted AMU (mg/PCUslaughter) was calculated for each region and compared using variance-weighted linear regression. Annual regional trends were assessed using ordinary linear regression.

Results: Overall biomass-adjusted AMU in Chile > BC > UK > Norway, with different annual trends within each region (p<0.01) (Figure 1).

Conclusion: The mg/PCUslaughter indicator provides a meaningful way to standardize and compare AMU from regions with different population sizes. Biomass-adjusted AMU was highest in Chile, but annual regional trends differed significantly over the time period, suggesting different disease pressures in each region. Surveillance of AMU is important to integrate with AMR data to understand selection pressure and to evaluate the impact of future antimicrobial stewardship programs and interventions.

Figure 1: Predicted annual biomass-adjusted AMU (mg/PCUslaughter), note variable scales – UK was modelled as indicators (not shown).","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9ee5b09694bc4b92b39f37c35a7063df","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Title":"Dr.","FirstName":"Simon","LastName":"Otto","Position":null,"Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Otto S"},{"PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Title":null,"FirstName":"Jacob A.","LastName":"Narbonne","Position":null,"Affiliations":"1,2,4","IsPresenting":false,"SortOrder":2,"DisplayName":"Narbonne J"},{"PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Title":null,"FirstName":"Brian R.","LastName":"Radke","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":3,"DisplayName":"Radke B"},{"PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Title":null,"FirstName":"Kelsey","LastName":"Robertson","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Robertson K"},{"PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Title":null,"FirstName":"Derek","LastName":"Price","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":5,"DisplayName":"Price D"},{"PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Title":null,"FirstName":"Patrick","LastName":"Hanington","Position":null,"Affiliations":"7","IsPresenting":false,"SortOrder":6,"DisplayName":"Hanington P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Number":1,"Affiliation":"HEAT-AMR (Human-Environment-Animal Transdisciplinary Antimicrobial Resistance) Research Group, School of Public Health, University Of Alberta","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"HEAT-AMR (Human-Environment-Animal Transdisciplinary Antimicrobial Resistance) Research Group, School of Public Health, University Of Alberta, Edmonton Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Number":2,"Affiliation":"Antimicrobial Resistance - One Health Consortium","City":null,"State":"Alberta","Country":"Canada","AffiliationDisplay":"Antimicrobial Resistance - One Health Consortium, Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Number":3,"Affiliation":"Healthy Environments Thematic Area Lead, Centre for Healthy Communities, School of Public Health, University of Alberta","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"Healthy Environments Thematic Area Lead, Centre for Healthy Communities, School of Public Health, University of Alberta, Edmonton Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Number":4,"Affiliation":"Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"Faculty of Veterinary Medicine, University of Calgary, Calgary Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Number":5,"Affiliation":"British Columbia Ministry of Agriculture, Food and Fisheries","City":null,"State":"British Columbia","Country":"Canada","AffiliationDisplay":"British Columbia Ministry of Agriculture, Food and Fisheries, British Columbia, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Number":6,"Affiliation":"Department of Fisheries and Oceans","City":null,"State":"British Columbia","Country":"Canada","AffiliationDisplay":"Department of Fisheries and Oceans, British Columbia, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4aa1fdc7-8ae4-4eb4-abb0-ea09a4b63194","Number":7,"Affiliation":"School of Public Health, University of Alberta","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"School of Public Health, University of Alberta, Edmonton Alberta, Canada"}],"AuthorsHtml":"Otto S1,2,3, Narbonne J1,2,4, Radke B5, Robertson K1,2, Price D6, Hanington P7","AffiliationsHtml":"
1HEAT-AMR (Human-Environment-Animal Transdisciplinary Antimicrobial Resistance) Research Group, School of Public Health, University Of Alberta, Edmonton Alberta, Canada
2Antimicrobial Resistance - One Health Consortium, Alberta, Canada
3Healthy Environments Thematic Area Lead, Centre for Healthy Communities, School of Public Health, University of Alberta, Edmonton Alberta, Canada
4Faculty of Veterinary Medicine, University of Calgary, Calgary Alberta, Canada
5British Columbia Ministry of Agriculture, Food and Fisheries, British Columbia, Canada
6Department of Fisheries and Oceans, British Columbia, Canada
7School of Public Health, University of Alberta, Edmonton Alberta, Canada
"}],"DisplayName":"Simon Otto","TimeDisplay":null},{"ContactId":"17e611f9-3c37-4992-9246-d13db7b322ae","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"James","LastName":"Oxley","Position":"","Organization":"University of Liverpool","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A human approach-stop task using videos of a simulated dog model displaying aggressive behaviours: The effect of participants demographics, dog model colour, size and environment.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Html":null,"PlainText":"Objective. Dog bites are a public health and animal welfare issue. The objective of this study was to use videos of a virtual dog displaying increasingly aggressive behaviours to assess if participant demographics, dog experience, dog size, coat colour or environment influences a user’s approach behaviour.

Materials and methods. A stylised Labrador, DAVE (Dog Assisted Virtual Environment), was developed which displays aggressive behaviours based on the canine ladder of aggression, and where the environment, coat colour and size can be altered. An online survey was shared through social media for one-month (September – October 2021) and was open to adults from all countries. Respondent age, gender, region, and dog experience were recorded. Participants were randomly allocated one of five videos of the simulated dog allowing for direct comparisons (i.e. yellow vs. black colour, small vs. medium vs. large size, and indoor vs. outdoor environment). Participants were asked to play the video and press stop at the point they would stop approaching the dog. Kruskal-Wallis and Mann Whitney U tests were used for group comparisons.

Results. In total 1590 participants from 59 countries were included. Males (median 32.6s) and those who had never owned a dog (median 32.9s) took longer to stop the video than females (median 20.1s; p<0.001) and those who own(ed) dogs (median 20.2s; p<0.001) respectively. Individuals moved significantly closer to the yellow (median 22.1s) than the black dog (median 17.5s; p=0.010) and significantly closer to the small (median 29.3s) compared to the medium (median 22.1s; p<0.001) and large (median 25.6s; p<0.001) dog.\t
\t
Conclusion. This study provides insight into human approach behaviour in the presence of an aggressive dog that can be experimentally controlled. Findings indicate that both person demographics and dog characteristics play a role in approach behaviour and need to be considered in dog bite prevention interventions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Title":"Mr.","FirstName":"James","LastName":"Oxley","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Oxley J"},{"PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Title":"Miss","FirstName":"Helena","LastName":"Ransome-Prince","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ransome-Prince H"},{"PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Title":"Dr","FirstName":"Georg","LastName":"Meyer","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Meyer G"},{"PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Title":"Mr","FirstName":"Iain","LastName":"Cant","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Cant I"},{"PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Title":"Mr","FirstName":"Giuseppe","LastName":"Bellantuono","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Bellantuono G"},{"PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Title":"Mr","FirstName":"Matthew","LastName":"Butcher","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Butcher M"},{"PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Title":"Dr","FirstName":"Andrew","LastName":"Levers","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Levers A"},{"PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Title":"Dr.","FirstName":"Carri","LastName":"Westgarth","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Westgarth C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Number":1,"Affiliation":"Institute of Veterinary and Ecological Sciences, University of Liverpool","City":"Neston","State":"Cheshire","Country":"United Kingdom","AffiliationDisplay":"Institute of Veterinary and Ecological Sciences, University of Liverpool, Neston Cheshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Number":2,"Affiliation":"Institute of Digital Engineering and Autonomous Systems, University of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"Institute of Digital Engineering and Autonomous Systems, University of Liverpool, Liverpool, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1ae35ef5-2028-438a-8a8e-621afa69fdbb","Number":3,"Affiliation":"Virtual Engineering Centre","City":"Daresbury","State":null,"Country":"United Kingdom","AffiliationDisplay":"Virtual Engineering Centre, Daresbury, United Kingdom"}],"AuthorsHtml":"Oxley J1, Ransome-Prince H1, Meyer G2, Cant I3, Bellantuono G3, Butcher M3, Levers A3, Westgarth C1","AffiliationsHtml":"
1Institute of Veterinary and Ecological Sciences, University of Liverpool, Neston Cheshire, United Kingdom
2Institute of Digital Engineering and Autonomous Systems, University of Liverpool, Liverpool, United Kingdom
3Virtual Engineering Centre, Daresbury, United Kingdom
"}],"DisplayName":"James Oxley","TimeDisplay":null},{"ContactId":"592bdfbc-e0e0-4109-a8e6-1c8fbaaaef0a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ranya","LastName":"Özcelik","Position":"","Organization":"Veterinary Public Health Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/30571a4162794a6fbeb62d17c790da78","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Seroprevalence and associated risk factors of brucellosis, Rift Valley fever and Q fever among Chadian agro-pastoralists and their livestock","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b3e517fe-cf58-4f9a-a3db-4c88394d0e77","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Html":null,"PlainText":"Brucellosis, Rift Valley Fever (RVF) and Q fever are endemic in most developing countries, causing high burden on human and animal health. Only few studies are available on these three zoonoses among agro-pastoralist communities and their livestock in Chad.
The objective of our study was to estimate brucellosis, RVF and Q fever seroprevalence among Chadian agro-pastoralist communities and their livestock, as well as investigate possible risk factors for seropositivity.
We conducted a multi-stage cross-sectional serological survey in two rural health districts in Chad, Yao and Danamadji. Human, cattle, sheep, goat and equine sera were collected and analyzed for seropositivity for the three diseases. The true prevalence was calculated applying a Bayesian framework for adjusting for imperfect diagnostic tests and accounting for clustering study design. Risk factors were estimated using a mixed effects logistic regression model.
The overall prevalence for brucellosis, Q fever and RVF for both regions combined was estimated at 0.1% (95% credibility Interval: 0-0.9), 49.2% (38.6-59.2) and 28.4% (23.4-33.5) in humans, and 0.5% (0-2.8), 11.0% (1.8-18.7) and 9.5% (5.3-12.7) in animal species combined. Risk factors correlating significantly with the respective disease seropositivity were sex for human brucellosis, sex and Q-fever co-infection for animal brucellosis, age for human Q fever, species and brucellosis co-infection for animal Q fever, age and herd-level animal RVF seroprevalence for human RVF, and human RVF seroprevalence for animal RVF.
In Danamadji and Yao, Q fever and RVF are notably prevalent among agro-pastoralist human and animal communities, while brucellosis rarely seems to occur. Correlation between the presence of RVF in humans and animals was detected. The outcome of this study can be used for guiding future surveillance programs and interventions aiming at enhancing the health of humans and their livestock with an integrative One Health approach.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Title":"Dr.","FirstName":"Ranya","LastName":"Özcelik","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Özcelik R"},{"PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Title":"Dr","FirstName":"Fayiz M","LastName":"Abakar","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Abakar F"},{"PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Title":"Dr","FirstName":"Michel Jacques","LastName":"Counotte","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Counotte M"},{"PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Title":null,"FirstName":"Fatima","LastName":"Abdelrazakh","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Abdelrazakh F"},{"PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Title":null,"FirstName":"Ramadane","LastName":"Issa","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Issa R"},{"PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Title":"A Prof","FirstName":"Salome","LastName":"Dürr","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Dürr S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Number":1,"Affiliation":"Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern","City":"Bern","State":null,"Country":"Switzerland","AffiliationDisplay":"Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Number":2,"Affiliation":"Institut de Recherche en Elevage pour le Développement","City":"N'Djamena","State":null,"Country":"Chad","AffiliationDisplay":"Institut de Recherche en Elevage pour le Développement, N'Djamena, Chad"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5c9ac187-3158-4177-aefd-4dae113c4761","Number":3,"Affiliation":"Institute for Social and Preventive Medicine, Medical Faculty, University of Bern","City":"Bern","State":null,"Country":"Switzerland","AffiliationDisplay":"Institute for Social and Preventive Medicine, Medical Faculty, University of Bern, Bern, Switzerland"}],"AuthorsHtml":"Özcelik R1, Abakar F2, Counotte M3, Abdelrazakh F2, Issa R2, Dürr S1","AffiliationsHtml":"
1Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Bern, Switzerland
2Institut de Recherche en Elevage pour le Développement, N'Djamena, Chad
3Institute for Social and Preventive Medicine, Medical Faculty, University of Bern, Bern, Switzerland
"}],"DisplayName":"Ranya Özcelik","TimeDisplay":null},{"ContactId":"adc5b112-573a-418f-8d7a-ac28da246040","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Davide","LastName":"Pagnossin","Position":"","Organization":"University of Glasgow","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e1efe1143a4343b0bc875a7c782d65aa","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Genomic epidemiology, virulence and antimicrobial resistance of the multi-host pathogen Streptococcus canis","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c4bcecfd-5953-4a5c-9d0c-254c3d6bae5f","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Html":null,"PlainText":"Streptococcus canis, a multi-host pathogen commonly isolated from dogs and cats, has been occasionally reported in severe cases of human infection. To address the gap in knowledge on antimicrobial resistance (AMR), virulence mechanisms and host tropism, we investigated, for the first time, S. canis genomic epidemiology.

We analysed 59 S. canis whole genome sequences (WGS) from multiple hosts, including 39 isolates from the UK and all publicly available genomes (n=20). AMR was determined for the available isolates and genetic AMR determinants were detected in most genomes. Homologs of known virulence genes were identified. A core single nucleotide polymorphism (SNP) phylogeny was generated to compare strain clustering according to two genotyping schemes, MLST and S. canis M-like protein (SCM) typing. Signs of host adaptation were investigated using phylogenetic analysis, accessory genome clustering and pan-genome wide association analysis.

A total of 23% (9/39) isolates expressed phenotypic resistance to tetracyclines and/or lincosamides and macrolides. This was complemented by the identification of AMR encoding genes tetO (15%, 8/55), tetM (7%, 4/55) and ermB (7%, 4/55). Phenotypic AMR was more common in human (36%, 4/11) compared to pet (18%, 5/28) isolates. Across all genomes, we identified 19 virulence gene homologs, most of which are also present in Streptococcus pyogenes. MLST and SCM genotyping failed to represent the core SNP-based genomic diversity of S. canis. Host adaptation was not detected.

In conclusion, first line antimicrobials are still a suitable option for the treatment of S. canis infections. Virulence mechanisms of S. canis share similarity with those of S. pyogenes. Both MLST and SCM genotyping lack sufficient resolution for fine typing such as outbreak scenarios. S. canis inter-species transmission, including zoonotic transfer, is strongly supported by the lack of genomic signs of host adaptation.


Keywords: Streptococcus canis, AMR, virulence, epidemiology, zoonosis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Title":"Mr.","FirstName":"Davide","LastName":"Pagnossin","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pagnossin D"},{"PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Title":"Prof.","FirstName":"William","LastName":"Weir","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Weir W"},{"PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Title":"Prof.","FirstName":"Andrew","LastName":"Smith","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Smith A"},{"PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Title":"Dr.","FirstName":"Juliana","LastName":"Coelho","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Coelho J"},{"PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Title":"Ms.","FirstName":"Roisin","LastName":"Ure","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Ure R"},{"PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Title":"Dr.","FirstName":"Katarina","LastName":"Oravcova","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Oravcova K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Number":1,"Affiliation":"Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow","City":"Glasgow","State":"Glasgow","Country":"United Kingdom","AffiliationDisplay":"Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow Glasgow, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Number":2,"Affiliation":"School of Veterinary Medicine, University of Glasgow","City":"Glasgow","State":"Glasgow","Country":"United Kingdom","AffiliationDisplay":"School of Veterinary Medicine, University of Glasgow, Glasgow Glasgow, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Number":3,"Affiliation":"Bacterial Respiratory Infection Service, Scottish Microbiology Reference Laboratory, Glasgow Royal Infirmary","City":"Glasgow","State":"Glasgow","Country":"United Kingdom","AffiliationDisplay":"Bacterial Respiratory Infection Service, Scottish Microbiology Reference Laboratory, Glasgow Royal Infirmary, Glasgow Glasgow, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d3de31f0-a9fe-45da-90a3-d68d2375213f","Number":4,"Affiliation":"Respiratory and Vaccine Preventable Bacteria Reference Unit, National Infection Service, Public Health England","City":"London","State":"London","Country":"United Kingdom","AffiliationDisplay":"Respiratory and Vaccine Preventable Bacteria Reference Unit, National Infection Service, Public Health England, London London, United Kingdom"}],"AuthorsHtml":"Pagnossin D1, Weir W2, Smith A3, Coelho J4, Ure R3, Oravcova K1","AffiliationsHtml":"
1Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow Glasgow, United Kingdom
2School of Veterinary Medicine, University of Glasgow, Glasgow Glasgow, United Kingdom
3Bacterial Respiratory Infection Service, Scottish Microbiology Reference Laboratory, Glasgow Royal Infirmary, Glasgow Glasgow, United Kingdom
4Respiratory and Vaccine Preventable Bacteria Reference Unit, National Infection Service, Public Health England, London London, United Kingdom
"}],"DisplayName":"Davide Pagnossin","TimeDisplay":null},{"ContactId":"06991796-b4ca-4982-94a1-0b822cdaf514","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Himadri","LastName":"Pal","Position":"Phd Student","Organization":"University of Greenwich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A Multi-Vocal Review: Characterization of Food Safety Trainings across LMICs and influence on intervention efficacy ","Bio":null,"PresentationTypeName":"Poster (ISVEE to print/put up poster)","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"593b912b-93be-488e-8f19-f3458495ec8a","Html":null,"PlainText":"A Multi-Vocal Review: Characterization of Food Safety Trainings across LMICs and influence on intervention efficacy
H. Pal, J. Bettridge, F. Mutua, D. Grace

ABSTRACT

OBJECTIVES
Food Safety Education can improve hygiene practices in wet markets, and hence help reduce foodborne disease burden. A variety of training techniques have been reported in LMICs in the past decade. This study aimed to identify associations between reported efficacy of a training intervention and training design, including materials used, to identify the most effective and sustainable training strategies.

MATERIALS & METHODS
A systematic approach was taken to search relevant academic and grey literature including NGO reports. Authors of selected studies were requested to provide access to educational materials used. Data on intervention design, content covered, trainers and outcome of the intervention were extracted and analysed for associations.

RESULTS
A total of 23 authors provided access to the educational materials (out of 48 contacted). Most training charts and booklets contained a combination of images and texts. All materials had a satisfactory image-to-text ratio of ≥0.02. The readability of training material ranged from ‘fairly easy’ to read to ‘fairly difficult’ to read. Efficacy assessment in more than 80% of the studies was solely based on KAP parameters as opposed to biological or clinical findings. The interval between the training and assessment of efficacy was highly variable, which presented a challenge in determining the comparable efficacy of interventions.

CONCLUSION
Recent food safety educational interventions have been developed for application in highly variable contexts and generally tailored to the intended audience. A guiding framework for efficacy and sustainability assessment of trainings conducted in informal markets would help identify best practices and understand how these vary with geographies, culture and digital literacy.

Keywords: training, education, food safety, traditional markets, food borne diseases

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"593b912b-93be-488e-8f19-f3458495ec8a","Title":"Ms.","FirstName":"Himadri","LastName":"Pal","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pal H"},{"PresentationId":"593b912b-93be-488e-8f19-f3458495ec8a","Title":"Dr.","FirstName":"Judy","LastName":"Bettridge","Position":"Fellow In Biostatistics For Food And Agriculture","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Bettridge J"},{"PresentationId":"593b912b-93be-488e-8f19-f3458495ec8a","Title":"Ms.","FirstName":"Florence","LastName":"Mutua","Position":"Scientist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mutua F"},{"PresentationId":"593b912b-93be-488e-8f19-f3458495ec8a","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Randolph D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"593b912b-93be-488e-8f19-f3458495ec8a","Number":1,"Affiliation":"University Of Greenwich","City":"Chatham","State":"Kent","Country":"United Kingdom","AffiliationDisplay":"University Of Greenwich, Chatham Kent, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"593b912b-93be-488e-8f19-f3458495ec8a","Number":2,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi, Kenya"}],"AuthorsHtml":"Pal H1, Bettridge J1, Mutua F2, Randolph D1","AffiliationsHtml":"
1University Of Greenwich, Chatham Kent, United Kingdom
2International Livestock Research Institute, Nairobi, Kenya
"}],"DisplayName":"Himadri Pal","TimeDisplay":null},{"ContactId":"0e2f2d9c-8fd6-4785-9208-76f99fed1c40","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Nakarin","LastName":"Pamornchainavakul","Position":"PhD candidate","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f6477de5b9bb4656bb12df21f5890bf1","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Mapping hotspots for emergence and inter-regional spread of contemporary PRRSV sub-lineages in the United States using phylogeography","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"095536be-2c95-45bf-939d-1c56fac7d289","Html":null,"PlainText":"Porcine reproductive and respiratory syndrome costs the United States >$500 million annually. The repeated emergence of new genetic variants of PRRSV-Type 2, the disease-causing virus, reflects the failure of previous control efforts. Although it is hypothesized that immune-mediated selection underpins evolutionary dynamics, understanding spatiotemporal heterogeneity in selection pressures, variant emergence, and spread is critical to the prevention of future outbreaks. By conducting a comprehensive phylogeographic analysis, our objective was to investigate how the pace of evolutionary change varies across time and space, identify geographic hotspots for emergence of new variants, and map patterns of inter-regional spread of PRRSV Lineage 1 (L1), which has been the dominant phylogenetic lineage in the U.S. for the past 10 years. Over 45,000 PRRSV open reading frame 5 (ORF5) genetic sequences between 2002 and 2021 were obtained from public and private sources. After data filtration and stratified random sampling, five different subsets of L1 ORF5 sequences were assembled to construct discrete phylogeographic models. Preliminary findings show that the L1 ancestor emerged in 1990 (1987-1992 95%HPD) and its successors peaked in population growth every ~6.2 years on average. The timing of these peaks appears to coincide with the emergence of sub-lineages known to be atypically virulent. Most sub-lineage emergence events tended to occur in the Upper Midwest, an area characterized by high pig densities and numerous different production systems. Dispersal rates were highest between the Upper Midwest to the Central Midwest, followed by subsequent inter-regional dispersal events originating from the Central Midwest. These results suggest a contemporary shift in the geographical hub of PRRSV emergence and inter-regional spread, which contrasts with patterns observed in prior decades potentially reflecting new or altered epidemiological dynamics. Our study identifies key PRRSV circulation pathways across the country, which could help strategize disease control and containment of emerging variants.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"095536be-2c95-45bf-939d-1c56fac7d289","Title":"Dr.","FirstName":"Nakarin","LastName":"Pamornchainavakul","Position":"PhD candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pamornchainavakul N"},{"PresentationId":"095536be-2c95-45bf-939d-1c56fac7d289","Title":"Dr.","FirstName":"Igor","LastName":"Paploski","Position":"Post-doctoral researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Paploski I"},{"PresentationId":"095536be-2c95-45bf-939d-1c56fac7d289","Title":"Dr.","FirstName":"Dennis","LastName":"Makau","Position":"Post-doctoral researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Makau D"},{"PresentationId":"095536be-2c95-45bf-939d-1c56fac7d289","Title":"Dr.","FirstName":"Albert","LastName":"Rovira","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Rovira A"},{"PresentationId":"095536be-2c95-45bf-939d-1c56fac7d289","Title":"Dr.","FirstName":"Cesar","LastName":"Corzo","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Corzo C"},{"PresentationId":"095536be-2c95-45bf-939d-1c56fac7d289","Title":"Mrs.","FirstName":"Kimberly","LastName":"Vanderwaal","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Vanderwaal K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"095536be-2c95-45bf-939d-1c56fac7d289","Number":1,"Affiliation":"College of Veterinary Medicine, University Of Minnesota","City":"Saint Paul","State":"MN","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine, University Of Minnesota, Saint Paul MN, USA"}],"AuthorsHtml":"Pamornchainavakul N1, Paploski I1, Makau D1, Rovira A1, Corzo C1, Vanderwaal K1","AffiliationsHtml":"
1College of Veterinary Medicine, University Of Minnesota, Saint Paul MN, USA
"},{"Title":"Genomic recombination and the epidemiological emergence of novel PRRSV-2 variants: a genome-based phylodynamic approach","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c4bcecfd-5953-4a5c-9d0c-254c3d6bae5f","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"8f074aab-497c-45c8-8d30-bd9f8dfc9d3f","Html":null,"PlainText":"Recombination, an exchanging of genomic portions between viruses, has been reported in porcine reproductive and respiratory syndrome virus 2 (PRRSV-2), though its frequency and ramifications for the disease’s epidemiology remain unclear. In 2020-2021, a novel and virulent PRRSV-2 variant was responsible for PRRS outbreaks in the Midwestern U.S., bringing atypical losses across pig production systems. Initial whole genome sequence (WGS) analysis suggested that the variant’s genomic parts were derived from two different lineages that have co-circulated in the U.S. Such an example led us to two questions: 1) does recombination contribute to variant emergence? and 2) how frequently does inter-lineage recombination occur in the U.S.?
To answer these questions, we performed recombination detection on a set of WGSs including the recent outbreak variant (n = 19) and publicly available isolates collected in the U.S. over the past two decades (n = 232). Sequences were classified into lineages (L1A-H) according to their open reading frame 5 (ORF5) gene phylogeny. Four WGS fragments, divided according to recombination hotspots, were used to estimate the virus’s evolutionary history and ancestral inter-lineage recombination via Bayesian phylodynamics with discrete trait analysis (DTA).
Phylodynamic models confirmed that the novel variant was a recombinant virus with a L1C-like genomic backbone. The variant diverged in late 2018 to early 2019, acquiring a non-structural protein 2 coding region from L1A viruses through recombination. The closest relative was a virus collected in 2018 that had a different recombination history than the novel variant. However, DTA suggests that inter-lineage recombination events resulting in widespread transmission (i.e., those that leave detectable numbers of progeny) were relatively uncommon (< 0.5 events/year).
Co-circulation of distinct lineages likely increases the chances that recombination will occasionally result in novel variants that potentially harbor combinations of traits that increase their capabilities to infect and spread in host populations.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8f074aab-497c-45c8-8d30-bd9f8dfc9d3f","Title":"Dr.","FirstName":"Nakarin","LastName":"Pamornchainavakul","Position":"PhD candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pamornchainavakul N"},{"PresentationId":"8f074aab-497c-45c8-8d30-bd9f8dfc9d3f","Title":"Dr.","FirstName":"Mariana","LastName":"Kikuti ","Position":"Post-doctoral researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Kikuti M"},{"PresentationId":"8f074aab-497c-45c8-8d30-bd9f8dfc9d3f","Title":"Dr.","FirstName":"Igor","LastName":"Paploski","Position":"Post-doctoral researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Paploski I"},{"PresentationId":"8f074aab-497c-45c8-8d30-bd9f8dfc9d3f","Title":"Dr.","FirstName":"Dennis","LastName":"Makau","Position":"Post-doctoral researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Makau D"},{"PresentationId":"8f074aab-497c-45c8-8d30-bd9f8dfc9d3f","Title":"Dr.","FirstName":"Albert","LastName":"Rovira","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Rovira A"},{"PresentationId":"8f074aab-497c-45c8-8d30-bd9f8dfc9d3f","Title":"Dr.","FirstName":"Cesar","LastName":"Corzo","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Corzo C"},{"PresentationId":"8f074aab-497c-45c8-8d30-bd9f8dfc9d3f","Title":"Dr.","FirstName":"Kimberly","LastName":"VanderWaal","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"VanderWaal K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f074aab-497c-45c8-8d30-bd9f8dfc9d3f","Number":1,"Affiliation":"University Of Minnesota","City":"Saint Paul","State":"MN","Country":"USA","AffiliationDisplay":"University Of Minnesota, Saint Paul MN, USA"}],"AuthorsHtml":"Pamornchainavakul N1, Kikuti M1, Paploski I1, Makau D1, Rovira A1, Corzo C1, VanderWaal K1","AffiliationsHtml":"
1University Of Minnesota, Saint Paul MN, USA
"}],"DisplayName":"Nakarin Pamornchainavakul","TimeDisplay":null},{"ContactId":"d1b4a2aa-1a39-466e-8eab-d26a6207b620","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Igor","LastName":"Paploski","Position":"Post-doctoral researcher","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6414ffdd5bdf47dea911ae2218056cbf","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Multi-strain dynamics of PRRSV type-2 in U.S. pig populations","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"9404666d-fc4b-4fd8-8838-19254ba86308","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Html":null,"PlainText":"PRRS, epidemiology, multi-strain dynamics, emergence, immunology

Objectives
Interactions between different variants or strains of a pathogen may occur if there is partial cross-immunity between strains, thus potentially allowing immune-mediated competition amongst co-circulating viruses. Porcine reproductive and respiratory syndrome virus (PRRSV) type-2 is characterized by extensive genetic diversity and frequent variants emergence, leading to inadequate disease control and economic losses for the U.S. swine industry. Despite this, drivers of multi-strain dynamics of PRRSV remain poorly understood. Our objective was to phylogenetically classify co-circulating PRRSV variants in the U.S., quantify evolutionary dynamics of variant emergence, and describe potential antigenic differences among variants.
Methods
We used >12,000 orf5 sequences obtained from the University of Minnesota Veterinary Diagnostic Laboratory and sub-divided them into lineages and sub-lineages. We estimated each sub-lineage’s effective population size over time using Bayesian coalescent SkyGrid models, also used to estimate time between emergence and peak of each sub-lineage. Amino acid consensus of each sub-lineage were built to contrast differences between sub-lineages.
Results
We subdivided the most prevalent strain (Lineage 1, responsible for ~60% of sequences) into eight sub-lineages. We identified a pattern of sequential dominance of sub-lineages, with a new one replacing its predecessor approximately every three years. New sub-lineages emerged every 1 to 4 years and the time between emergence and peak population size was 4.5 years on average (range: 2–8 years). Each sub-lineage’s consensus amino acid sequences differed in key GP5 sites related to immunity response.

Conclusions
Our results suggests sub-lineage turnover may be linked to immune-mediated competition. This has important implications for understanding drivers of genetic diversity and emergence of new PRRSV variants in the U.S. Our results suggest that PRRSV may be an interesting model to study the evolution of diversity and sequential dominance of viral variants in a system where immune-mediated strain selection may occur.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Igor","LastName":"Paploski","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Paploski I"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Nakarin","LastName":"Pamornchainavakul","Position":"PhD candidate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Pamornchainavakul N"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Dennis","LastName":"Makau","Position":"Post Doctoral Associate","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Makau D"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Albert","LastName":"Rovira","Position":"Associate Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Rovira A"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Cesar","LastName":"Corzo","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Corzo C"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Declan","LastName":"Schroeder","Position":"Associate Professor","Affiliations":"1,3","IsPresenting":false,"SortOrder":6,"DisplayName":"Schroeder D"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Maxim","LastName":"Cheeran","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Cheeran M"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Andrea","LastName":"Doeschl-Wilson","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":8,"DisplayName":"Doeschl-Wilson A"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Rowland","LastName":"Kao","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":9,"DisplayName":"Kao R"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Samantha","LastName":"Lycett","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":10,"DisplayName":"Lycett S"},{"PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Title":"Dr.","FirstName":"Kimberly","LastName":"VanderWaal","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":11,"DisplayName":"VanderWaal K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Number":1,"Affiliation":"Department Veterinary Population Medicine, University Of Minnesota","City":"Saint Paul","State":"MN","Country":"USA","AffiliationDisplay":"Department Veterinary Population Medicine, University Of Minnesota, Saint Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Number":2,"Affiliation":"Veterinary Diagnostic Laboratory, University of Minnesotaq","City":"Saint Paul","State":"MN","Country":"USA","AffiliationDisplay":"Veterinary Diagnostic Laboratory, University of Minnesotaq, Saint Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Number":3,"Affiliation":"School of Biological Sciences, University of Reading","City":"Reading","State":null,"Country":"UK","AffiliationDisplay":"School of Biological Sciences, University of Reading, Reading, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"be0384ae-5d3d-433b-9e9a-f47d74690436","Number":4,"Affiliation":"Roslin Institute, University of Edinburgh","City":"Edinburgh","State":null,"Country":"UK","AffiliationDisplay":"Roslin Institute, University of Edinburgh, Edinburgh, UK"}],"AuthorsHtml":"Paploski I1, Pamornchainavakul N1, Makau D1, Rovira A1,2, Corzo C1, Schroeder D1,3, Cheeran M1, Doeschl-Wilson A4, Kao R4, Lycett S4, VanderWaal K1","AffiliationsHtml":"
1Department Veterinary Population Medicine, University Of Minnesota, Saint Paul MN, USA
2Veterinary Diagnostic Laboratory, University of Minnesotaq, Saint Paul MN, USA
3School of Biological Sciences, University of Reading, Reading, UK
4Roslin Institute, University of Edinburgh, Edinburgh, UK
"}],"DisplayName":"Igor Paploski","TimeDisplay":null},{"ContactId":"49d9682b-5fc5-4f54-a0a6-6e3b9e1ab43a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marianne","LastName":"Parent","Position":"Phd Candidate","Organization":"Atlantic Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Estimating the dispersal of Lepeophtheirus salmonis sea lice within and among Atlantic salmon sites using multiple distance estimators","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"42d30cc8-6b12-409f-923e-ad120d6ae806","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"19cd83b8-dd49-4c25-bdfe-85b119c2501a","Html":null,"PlainText":"Objective: To estimate dispersal distance and impact of infestation pressures on the abundance of the parasitic sea louse, Lepeophtheirus salmonis, in the Bay of Fundy, New Brunswick (NB), Canada, using seaway distance and multiple other distance estimators.
Materials and methods: The Fish-iTrends database for the years 2009-2018 was used to construct a multivariate linear mixed model for abundance of adult female sea lice with site connectivity measured by seaway distance (previously published). The same model was employed for connectivity expressed as surface area of water, topological distance, and underwater seaway distance among sites. External infestation pressures (EIPs) were calculated for each distance measure and a Gaussian kernel density for
bandwidths of 5 to 15 km.
Results: The surface area around pathways at widths 250 m, 500 m, and 1000 m (Figure 1A) improved the model Akaike’s information criterion (AIC) by 5.3 to 6.6 units. Best fitting EIP bandwidths were at 7 km (surface area 1000 m) and 8 km (250 m and 500 m), hence smaller than 10km for the previously published seaway distance results.
Conclusion: The surface area and seaway distance are important characteristics for the dispersal distances of L. salmonis, while depth information did not have a strong influence in the model.
Figure 1. Multiplicative EIP coefficients (with 95% CI) and AIC fits (offset by 3,000) from linear mixed models across kernel bandwidths (5-15 km) for 3 distance measures: A: surface area 1000 m, B: topological distance, C: underwater seaway distance. Red markers represent previously published best fit.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"19cd83b8-dd49-4c25-bdfe-85b119c2501a","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3f62d133d5bb4c9690d8f97611ebd10f","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"19cd83b8-dd49-4c25-bdfe-85b119c2501a","Title":"Dr.","FirstName":"Marianne","LastName":"Parent","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Parent M"},{"PresentationId":"19cd83b8-dd49-4c25-bdfe-85b119c2501a","Title":"Dr.","FirstName":"Raphaёl","LastName":"Vanderstichel","Position":"Associate professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Vanderstichel R"},{"PresentationId":"19cd83b8-dd49-4c25-bdfe-85b119c2501a","Title":"Mr.","FirstName":"Henrik","LastName":"Stryhn","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Stryhn H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"19cd83b8-dd49-4c25-bdfe-85b119c2501a","Number":1,"Affiliation":"Health Management, AVC UPEI","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Health Management, AVC UPEI, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"19cd83b8-dd49-4c25-bdfe-85b119c2501a","Number":2,"Affiliation":"Veterinary Clinical Sciences, CVM LIU","City":"Brookville","State":"NY","Country":"USA","AffiliationDisplay":"Veterinary Clinical Sciences, CVM LIU, Brookville NY, USA"}],"AuthorsHtml":"Parent M1, Vanderstichel R1,2, Stryhn H1","AffiliationsHtml":"
1Health Management, AVC UPEI, Charlottetown PE, Canada
2Veterinary Clinical Sciences, CVM LIU, Brookville NY, USA
"}],"DisplayName":"Marianne Parent","TimeDisplay":null},{"ContactId":"e55bb24e-db7e-42f1-ba49-e7a7baa374a8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jane","LastName":"Parmley","Position":"Associate Professor","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f9694a36251c4913b54a8de6a504cb67","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Understanding how to effectively and sustainably tackle antimicrobial resistance in One Health systems ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"26d7096e-da0d-4d6e-b855-74ce32a2ffb5","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"8c720eb8-42df-447e-a706-98929b42a5af","Html":null,"PlainText":"Objectives: To describe the system dynamics that contribute to antimicrobial resistance (AMR) emergence, spread and impact in different contexts and the factors that influence effectiveness and sustainability of actions designed to combat AMR.

Materials and methods: Visual models of factors influencing and influenced by AMR in European and Southeast Asian food systems were co-developed by experts and non-traditional stakeholders in participatory workshops. Exploration of the long-term impacts of select interventions (taxation at point of antimicrobial sale and improved infection prevention and control measures) on AMR under a future influenced by climate change was completed using a scenario-modelling approach in a second set of (virtual) participatory workshops hosted in the same locations.

Results: Four workshops (35 participants) were held in 2019 and causal loop diagrams of AMR in the European and Southeast Asian food system contexts were developed. These visual models depict how AMR is driven by a complex web of interacting factors and influenced by additional, over-arching factors with broad influence over the whole system. Leverage points, places to act with greatest potential to transform the system and fight AMR, were also identified by participants. In 4 scenario-modelling workshops, hosted virtually in 2020, 18 participants recognized AMR and climate change as interlinked issues and highlighted that select interventions to combat AMR under a new climate change reality in the year 2050, required achieving the Sustainable Development Goals.

Conclusion: This work demonstrates that AMR emergence, spread and impact are driven by a complex system of diverse and interacting factors. Effective and sustainable reduction of AMR will require a multi-pronged, health promotion approach that prioritizes participation from multiple stakeholders and is prepared for potential unexpected health consequences in humans, animals and ecosystems.

Keywords: antimicrobial resistance, complexity, participation, One Health","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8c720eb8-42df-447e-a706-98929b42a5af","Title":"Dr.","FirstName":"Jane","LastName":"Parmley","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Parmley J"},{"PresentationId":"8c720eb8-42df-447e-a706-98929b42a5af","Title":"Dr.","FirstName":"Irene","LastName":"Lambraki","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Lambraki I"},{"PresentationId":"8c720eb8-42df-447e-a706-98929b42a5af","Title":null,"FirstName":"Melanie","LastName":"Cousins","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Cousins M"},{"PresentationId":"8c720eb8-42df-447e-a706-98929b42a5af","Title":"Dr.","FirstName":"Carolee","LastName":"Carson","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Carson C"},{"PresentationId":"8c720eb8-42df-447e-a706-98929b42a5af","Title":"Dr.","FirstName":"Shannon","LastName":"Majowicz","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Majowicz S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8c720eb8-42df-447e-a706-98929b42a5af","Number":1,"Affiliation":"Department of Population Medicine, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University Of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8c720eb8-42df-447e-a706-98929b42a5af","Number":2,"Affiliation":"School of Public Health Sciences, University of Waterloo","City":"Waterloo","State":"ON","Country":"Canada","AffiliationDisplay":"School of Public Health Sciences, University of Waterloo, Waterloo ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8c720eb8-42df-447e-a706-98929b42a5af","Number":3,"Affiliation":"Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph ON, Canada"}],"AuthorsHtml":"Parmley J1, Lambraki I2, Cousins M2, Carson C3, Majowicz S2","AffiliationsHtml":"
1Department of Population Medicine, University Of Guelph, Guelph ON, Canada
2School of Public Health Sciences, University of Waterloo, Waterloo ON, Canada
3Centre for Foodborne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph ON, Canada
"}],"DisplayName":"Jane Parmley","TimeDisplay":null},{"ContactId":"a5997c15-3b72-480b-b319-f74e5a118272","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Grace","LastName":"Patterson","Position":"Postdoctoral Fellow","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"graciethaxton","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"graciethaxton","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=graciethaxton","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=graciethaxton","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Linking livestock production and human dietary health: evaluation of current approaches and potential impact of GBADs","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"34d8a5d6-86a1-4eb5-bfb2-69a24c052711","Html":null,"PlainText":"Keywords
Livestock; nutrition; health metrics; food systems

The Global Burden of Animal Diseases (GBADs) aims to quantify the impact of livestock production gaps on economic and human health outcomes, which is largely mediated through human diet and nutrition. However, global food systems are complex and incorporate varying production systems, flow of products between markets, accessibility within food systems, and cultural preferences. Few models fully describe this pathway. We aim to evaluate the strengths and weaknesses of existing methodologies and data, and identify gaps that GBADs’ outputs and approach could address.

A review was conducted on models describing links between livestock production and food access or health outcomes. Models identified from peer-reviewed and grey literature were evaluated for generalizability across different livestock and food systems, validity, and potential interoperability. Data sources were evaluated for coverage, reliability, and granularity. Established approaches from related fields were identified via expert consultation and evaluated for applicability.

Most studies focused on smallholder production and community-level food systems, which avoid complexities of global trade and describe only 30% of the world’s food production. Conversely, approaches describing large-scale enterprises typically considered environmental, not dietary, impacts. Most global models described the terminus of the pathway (food availability to nutrition outcomes) and relied on the same data sources. Many are well-validated and potentially interoperable with upstream models of production and trade. Unsurprisingly, more comprehensive global models provide less detail and nuance, particularly concerning livestock systems and products, indicating a gap GBADs could address.

A comprehensive understanding of the role of livestock production on human dietary health is critical to meet sustainable development goals. Existing approaches to describe aspects of this relationship should be combined, refined, and supported with improved data collection. A clear avenue exists for GBADs to improve estimates of the impact of changing global livestock outputs on health.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"34d8a5d6-86a1-4eb5-bfb2-69a24c052711","Title":"Dr.","FirstName":"Grace","LastName":"Patterson","Position":"Postdoctoral Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Patterson G"},{"PresentationId":"34d8a5d6-86a1-4eb5-bfb2-69a24c052711","Title":"Ms.","FirstName":"Carlotta","LastName":"Di Bari","Position":"Research Assistant","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Di Bari C"},{"PresentationId":"34d8a5d6-86a1-4eb5-bfb2-69a24c052711","Title":"Ms.","FirstName":"Narmada","LastName":"Venkateswaran","Position":"Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Venkateswaran N"},{"PresentationId":"34d8a5d6-86a1-4eb5-bfb2-69a24c052711","Title":"Mr.","FirstName":"Brecht","LastName":"Devleesschauwer","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Devleesschauwer B"},{"PresentationId":"34d8a5d6-86a1-4eb5-bfb2-69a24c052711","Title":"PhD","FirstName":"David","LastName":"Pigott","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Pigott D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"34d8a5d6-86a1-4eb5-bfb2-69a24c052711","Number":1,"Affiliation":"Department of Population Medicine, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"34d8a5d6-86a1-4eb5-bfb2-69a24c052711","Number":2,"Affiliation":"Department of Epidemiology and Public Health, Sciensano","City":"Brussels","State":null,"Country":"Belgium","AffiliationDisplay":"Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"34d8a5d6-86a1-4eb5-bfb2-69a24c052711","Number":3,"Affiliation":"Institute for Health Metrics and Evaluation, University of Washington","City":"Seattle","State":"Washington","Country":"USA","AffiliationDisplay":"Institute for Health Metrics and Evaluation, University of Washington, Seattle Washington, USA"}],"AuthorsHtml":"Patterson G1, Di Bari C2, Venkateswaran N3, Devleesschauwer B2, Pigott D3","AffiliationsHtml":"
1Department of Population Medicine, University of Guelph, Guelph Ontario, Canada
2Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
3Institute for Health Metrics and Evaluation, University of Washington, Seattle Washington, USA
"}],"DisplayName":"Grace Patterson","TimeDisplay":null},{"ContactId":"fee5f290-63c5-4dca-878c-c7aa2f434c4f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sydney","LastName":"Pearce","Position":"Phd Candidate","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7aba3ef971354a4eb176c98882dd6a69","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluating the efficacy of internal teat sealants at dry-off for preventing intramammary infections and clinical mastitis in dairy cows: Systematic review update and sequential meta-analysis","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Html":null,"PlainText":"Objectives: Sequentially synthesize literature evaluating the efficacy of internal teat sealants (ITS) applied at dry-off in comparison to no treatment controls (NTC) for preventing intramammary infections (IMI) at calving and clinical mastitis (CM) at 30 days-in-milk (DIM) among dairy cows and prepartum heifers.

Materials and Methods: A systematic review and Bayesian sequential pair-wise meta-analysis was conducted to update a 2019 review and network meta-analysis. Sequential methods require several meta-analyses of eligible studies, instead of one overall, by adding one study at a time in temporal order. Decisions for stopping were assessed at each analysis for either intervention effect or futility in finding effect based on a priori minimum clinically-relevant values (ORδ=0.5, 0.75). Studies captured in the updated search were screened in DistillerSR. Data were extracted from eligible studies and analysed in R 3.6.0. Cochrane Risk of Bias 2.0 and GRADE were used.

Results: One hundred and forty-one potentially relevant reports were identified, one being relevant. Fifteen original-review studies were eligible, totaling sixteen (IMI=12, CM=4). Sequential meta-analysis showed that ITS at dry-off significantly reduced odds of new IMI at calving compared to NTC at the second meta-analysis of twelve (OR₂=0.27, 95%CI=0.22-0.34), and onward (OR₁₂=0.31, 95%CI=0.29-0.34). Similarly for CM at 30DIM, significance was reached at the second meta-analysis of three (OR₂=0.59, 95%CI=0.47-0.73) and onward (OR₃=0.47, 95%CI=0.42-0.51). Stopping for effect occurred at the second analysis in both outcomes and ORδ’s but low-quality evidence and heterogeneity concerns were seen. A continuity-correction to include zero-event CM studies showed significance at the third meta-analysis of four (OR₃=0.79, 95%CI=0.73-0.86), stopping for effect at the fourth for ORδ=0.75 (OR₄=0.77, 95%CI=0.72-0.83), and stopping for futility at the second for ORδ=0.5 (OR₂=0.94, 95%CI=0.75-1.20).

Conclusions: Based on sequential evidence, sufficient research for practical use and possible cessation of future research was reached early in the literature.

Keywords: Sequential meta-analysis, stopping decisions","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Title":"Ms.","FirstName":"Sydney","LastName":"Pearce","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pearce S"},{"PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Title":"Dr","FirstName":"Elizabeth Jane","LastName":"Parmley","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Parmley E"},{"PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Title":"Ms.","FirstName":"Charlotte","LastName":"Winder","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Winder C"},{"PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Title":"Dr.","FirstName":"Jan","LastName":"Sargeant","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Sargeant J"},{"PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Title":null,"FirstName":"Michael","LastName":"Prashad","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Prashad M"},{"PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Title":null,"FirstName":"Mikayla","LastName":"Ringelberg","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Ringelberg M"},{"PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Kelton D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Number":1,"Affiliation":"Department of Population Medicine, University Of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University Of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2d4f48d0-b3df-4eed-a3f2-010dd074e338","Number":2,"Affiliation":"Data Resource Centre, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Data Resource Centre, University of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Pearce S1, Parmley E1, Winder C1, Sargeant J1, Prashad M2, Ringelberg M1, Kelton D1","AffiliationsHtml":"
1Department of Population Medicine, University Of Guelph, Guelph Ontario, Canada
2Data Resource Centre, University of Guelph, Guelph Ontario, Canada
"},{"Title":"Disseminating veterinary evidence to decision-makers through remotely-accessible knowledge translation tools: Pilot study on dairy veterinarian antimicrobial stewardship","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a2fa3544-ac54-4db4-9895-35fdcbdbadea","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"14b6d868-dfe2-4ee0-a3c8-e41e7f8fbc1c","Html":null,"PlainText":"Objectives: Assess the impact of remotely accessible knowledge translation (KT) tools on Ontario bovine veterinarian antibiotic use decision-making for intramammary infection (IMI) prevention and bovine respiratory disease (BRD) treatment.

Materials and Methods: A pilot randomized controlled trial was conducted to assess antibiotic decision-making before and after KT tool intervention. Tools were developed by the research team and contained information about antibiotic classification based on importance to human medicine and systematic reviews synthesizing antibiotic efficacy for IMI and BRD, as well as effective practices and antibiotic alternatives for IMI. Twenty-one veterinarians were randomly assigned one of four tools: original publications (control, n=5), website (n=5), podcast (n=6), mobile gaming-app (n=5). Participants completed three surveys: a baseline, follow-up one month after receiving their tool, and final follow-up two months after the first. The baseline survey addressed i) antibiotic decision-making factors, ii) prescription and practice in scenarios, iii) preferences for receiving information, iv) barriers to accessing information. Follow-ups re-addressed i) and ii) to quantify changes as well as v) perception of tool, vi) barriers experienced, vii) suggestions for improvement.

Preliminary Results: Among participants who completed the first follow-up (n=20), the website performed best with all assigned the intervention stating it was very effective for learning information. All tools received at least one very effective rating, therefore preference may depend on the user. Overall, nineteen found the information in the tools to be moderately-very valuable for practice and fourteen stated very high likelihood of implementing what they learned. Lack of time was the most cited barrier to using the tools (n=15).

Conclusions: This work identifies common barriers to accessing information and preferred KT tools. It supports antimicrobial stewardship by determining how to provide busy practitioners with accessible information. When considering original population context, findings may apply to other areas.

Keywords: Antimicrobial stewardship, practitioners, knowledge translation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"14b6d868-dfe2-4ee0-a3c8-e41e7f8fbc1c","Title":"Ms.","FirstName":"Sydney","LastName":"Pearce","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pearce S"},{"PresentationId":"14b6d868-dfe2-4ee0-a3c8-e41e7f8fbc1c","Title":"Dr","FirstName":"Elizabeth Jane","LastName":"Parmley","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Parmley E"},{"PresentationId":"14b6d868-dfe2-4ee0-a3c8-e41e7f8fbc1c","Title":"Dr.","FirstName":"Jan","LastName":"Sargeant","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Sargeant J"},{"PresentationId":"14b6d868-dfe2-4ee0-a3c8-e41e7f8fbc1c","Title":"Ms.","FirstName":"Charlotte","LastName":"Winder","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Winder C"},{"PresentationId":"14b6d868-dfe2-4ee0-a3c8-e41e7f8fbc1c","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Kelton D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"14b6d868-dfe2-4ee0-a3c8-e41e7f8fbc1c","Number":1,"Affiliation":"Department of Population Medicine, University Of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University Of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Pearce S1, Parmley E1, Sargeant J1, Winder C1, Kelton D1","AffiliationsHtml":"
1Department of Population Medicine, University Of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Sydney Pearce","TimeDisplay":null},{"ContactId":"ffa829bf-8d96-4424-ae6f-340f33fb0636","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Dustin","LastName":"Pendell","Position":"Professor, Director of Graduate Programs","Organization":"Kansas State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Wider Economic Impacts of Animal Health","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ed64db1a-4cbf-42c3-8f37-9efc96f775bc","Html":null,"PlainText":"Increasing population growth and rising demand for livestock and livestock products are integral to improving food and nutrition security, health, and livelihoods across the world. As such, interest has grown in identifying and assessing the wider economic burdens of animal health and livestock diseases to better understand and prioritize resource allocation. Who is burdened and by how much? Economic methods and empirical measures will be presented with selected case studies in small ruminants in Ethiopia and broilers in the United States.

Methods: Methods will follow and expand on the economic literature, which rely on equilibrium calibration models to assess market outcomes for animal health and livestock disease events (Paarlberg et al. 2008; Pendell et al. 2015, 2016; Tozer et al. 2012; Nogueria et al. 2011; Hennessy and Marsh 2021). Measures of consumer surplus and producer surplus will be used to assess the amount of economic burden across economic agents. Currently, we are focusing on broilers in the USA. In the United States, agriculture and livestock are important but a small part of the GDP, so a partial equilibrium model is employed. We are also focusing on small ruminants in Ethiopia. Here, agriculture and livestock play a major role in the country’s GDP, so both a partial equilibrium and a general equilibrium model are used.

Case Studies: Specifically for broilers in the USA the approach will follow Thompson et al. (2019). For small ruminants in Ethiopia, the methods are defined in Golam (2022).

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ed64db1a-4cbf-42c3-8f37-9efc96f775bc","Title":"Mr.","FirstName":"Dustin","LastName":"Pendell","Position":"Professor","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Pendell D"},{"PresentationId":"ed64db1a-4cbf-42c3-8f37-9efc96f775bc","Title":"Dr.","FirstName":"Alex","LastName":"Kappes","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Kappes A"},{"PresentationId":"ed64db1a-4cbf-42c3-8f37-9efc96f775bc","Title":"Mr.","FirstName":"Takesure","LastName":"Tozooneyi","Position":"Phd Student","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Tozooneyi T"},{"PresentationId":"ed64db1a-4cbf-42c3-8f37-9efc96f775bc","Title":"Prof.","FirstName":"Thomas","LastName":"Marsh","Position":"Professor","Affiliations":"1,3","IsPresenting":true,"SortOrder":4,"DisplayName":"Marsh T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ed64db1a-4cbf-42c3-8f37-9efc96f775bc","Number":1,"Affiliation":"Global Burden of Animal Diseases programme","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global Burden of Animal Diseases programme"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ed64db1a-4cbf-42c3-8f37-9efc96f775bc","Number":2,"Affiliation":"Department of Agricultural Economics, Kansas State University","City":"Manhattan","State":"KA","Country":"USA","AffiliationDisplay":"Department of Agricultural Economics, Kansas State University, Manhattan KA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ed64db1a-4cbf-42c3-8f37-9efc96f775bc","Number":3,"Affiliation":"Paul G. Allen School for Global Animal Health, Allen Center, School of Economic Sciences, Washington State University","City":"Pullmann","State":"WA","Country":"USA","AffiliationDisplay":"Paul G. Allen School for Global Animal Health, Allen Center, School of Economic Sciences, Washington State University, Pullmann WA, USA"}],"AuthorsHtml":"Pendell D, Kappes A1,3, Tozooneyi T1,2, Marsh T1,3","AffiliationsHtml":"
1Global Burden of Animal Diseases programme
2Department of Agricultural Economics, Kansas State University, Manhattan KA, USA
3Paul G. Allen School for Global Animal Health, Allen Center, School of Economic Sciences, Washington State University, Pullmann WA, USA
"}],"DisplayName":"Dustin Pendell","TimeDisplay":null},{"ContactId":"d578a82e-8352-4737-919a-883e8979dffc","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Johanna","LastName":"Penell","Position":"Dean of Education, Faculty of Veterinary Medicine and Animal Science","Organization":"Swedish University Of Agricultural Sciences","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b2989ba549154ee5b5c8ce2e15554544","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Peer assessment in veterinary epidemiology and biostatistics taught to veterinary nurse students","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f14bfb06-42c9-42a7-b846-73de3944cb37","Html":null,"PlainText":"Objectives: Peer assessment may increase deep learning and save teacher time. The objectives were to describe the peer and teacher marking agreement and the students’ experience of the peer assessment.
Material and methods: Peer assessment of the exams for the modules veterinary epidemiology and biostatistics was applied in two cohorts in the Bachelor program Veterinary Nursing at the Swedish University of Agricultural Sciences (SLU). After the exam, the students received another coded exam and the teacher supervised the marking by presenting the model answer for each question, with alternatives that also could give points. The teacher double-marked all exams. Exam grades were pass/fail. The learning experience was evaluated through individual and cohort course evaluations.
Results: For each exam, the maximum was 18 points with the pass limit 12 points. In the first cohort (48 students) 92% and 96% passed the exam in epidemiology and biostatistics, respectively. For epidemiology, teacher and peer marking agreed in 75% of the exams, and 100% were within ±1 p. For biostatistics, marks were same in 50% of the exams, 98% ±1 p. In the second cohort (60 students) 97% and 95% passed the exam in epidemiology and biostatistics, respectively. For epidemiology, teacher and peer agreed in 47% of the exams, 98% ±1 p. For biostatistics, marking was same in 68% of the exams, 93% ±1 p. Teacher and peer agreed on grade in all exams in cohort 1 and in all exams in epidemiology and all but one exam in biostatistics in cohort 2; for the one discrepancy the peer graded pass but the teacher grade was fail. Students’ evaluations revealed approximately 50-50 liking versus disliking peer assessment.
Conclusions: Peer assessment gave similar results as the teacher’s and provided insight and a learning experience for the students.
Key words: peer assessment, exam, student learning, agreement
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f14bfb06-42c9-42a7-b846-73de3944cb37","Title":"Dr.","FirstName":"Johanna","LastName":"Penell","Position":"Dean of Education, Faculty of Veterinary Medicine and Animal Science","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Penell J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f14bfb06-42c9-42a7-b846-73de3944cb37","Number":1,"Affiliation":"Department of Clinical Sciences, Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sverige","AffiliationDisplay":"Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sverige"}],"AuthorsHtml":"Penell J1","AffiliationsHtml":"
1Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sverige
"},{"Title":"Assessment of bacterial loads in a veterinary operating room and associations with staff related factors ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"26d7096e-da0d-4d6e-b855-74ce32a2ffb5","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Html":null,"PlainText":"Objectives: Pathogenic microorganisms near patients constitute a risk for health care-associated infections. The objectives of this study were to quantify the environmental airborne bacterial load in a veterinary operating room and investigate staff-related factors associated with bacterial load.
Material and methods: An observational study conducted at a small animal hospital in Sweden. Environmental samples using settle plates were collected in one operating room during acute or elective surgery for ovary hysterectomy in dogs, placements of plates A, B and C are shown in fig 1. Factors related to the operating room, including staff movements during surgery, were collected. Linear regression was used for investigating the relationship between explanatory factors and the outcomes bacterial load at A, B, and C, respectively.
Results: Twenty-eight surgery events were included, with a mean surgery time of 60 minutes (range 16-135 minutes). The mean bacterial load was 810 (A), 411 (B) and 1222 (C) CFU/m2/h. The number of staff in the operating room was 3-7. Staff movements ranged between 2-69 (mean 33) and one example is shown in fig 1. Preliminary results indicate a negative association between staff movement and A (after applying Bonferroni correction; p=0.017), and a negative association between operation time and A (p=0.011). There was no association between number of staff present and the bacterial load.
Conclusions: This study presents a low degree of airborne bacterial load during canine surgery, and few associations with staff-related determinants.
Key words: Infection prevention and control, biosecurity, surgery, airborne bacteria, veterinary clinic
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/64e52484ae8646b49ac2c0687a8a427f","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Title":"Mr","FirstName":"Todd","LastName":"Alsing Johansson","Position":"Graduate student, lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Alsing Johansson T"},{"PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Title":"Prof","FirstName":"Susanna","LastName":"Sternberg Lewerin","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Sternberg Lewerin S"},{"PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Title":"Dr","FirstName":"Karin","LastName":"Bergström","Position":"Veterinary Officer","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Bergström K"},{"PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Title":"Associate professor","FirstName":"Anna","LastName":"Bergh","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Bergh A"},{"PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Title":"Dr.","FirstName":"Johanna","LastName":"Penell","Position":"Dean of Education, Faculty of Veterinary Medicine and Animal Science","Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Penell J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Number":1,"Affiliation":"Dept of Clinical Sciences, Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Dept of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Number":2,"Affiliation":"Dept of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Dept of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cff1943d-f83b-441e-8207-d2ba81c8f31d","Number":3,"Affiliation":"Department of Animal Health and Antimicrobial Strategies, The National Veterinary Institute","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Animal Health and Antimicrobial Strategies, The National Veterinary Institute, Uppsala, Sweden"}],"AuthorsHtml":"Alsing Johansson T1, Sternberg Lewerin S2, Bergström K3, Bergh A1, Penell J1","AffiliationsHtml":"
1Dept of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
2Dept of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, Sweden
3Department of Animal Health and Antimicrobial Strategies, The National Veterinary Institute, Uppsala, Sweden
"},{"Title":"The process of creating a new veterinary curriculum in 6 months’ time","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c72992ff-bfa6-4109-b3f2-959dba1a9837","Html":null,"PlainText":"Objectives: The Swedish University of Agricultural Sciences (SLU) received in December 2021 an assignment from the government to increase the intake of veterinary students. The current curriculum cannot fit the target intake, thus a new curriculum needs to be created and decided upon in May 2022 to adhere to national and university regulations for the launch in August 2023. The objective is to describe the process of creating a new veterinary curriculum in a very speedily manner.
Material and methods: Description of the process of creating a new curriculum that i) can accommodate a 45% higher student intake, ii) improve the study social environment and teaching and learning experience for both students and teachers, and iii) fulfill the requirements for European accreditation and national regulations for veterinary education.
Results: A steering committee chaired by the deputy vice chancellor leads the project. The operative work is delegated to the project leader who coordinates a project lead group and numerous satellite groups working through each part of the project. The process includes identification of bottleneck factors such as available teaching animals and facilities for clinical/practical teaching. Furthermore, development of teaching delivery methods, assessments, and professional skills are specific focus areas. Development of the teaching done in some key infrastructural units such as the university animal hospital, the ambulatory clinic and the on-site ruminant clinic will be necessary to ensure fit-for-purpose teaching and learning environments for the larger cohorts. Other areas of importance are competence planning and student involvement - student representatives are involved in all project groups.
Conclusions: We will present the process of creating the new veterinary curriculum in Sweden, highlighting key experiences and main challenges, and suggest recommendations for future curriculum development projects.
Key words: Curriculum, veterinary program, education, student learning, sustainable teaching and learning environment
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c72992ff-bfa6-4109-b3f2-959dba1a9837","Title":"Associate professor","FirstName":"Helene","LastName":"Hamlin","Position":"Program Director MSc Veterinary program","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Hamlin H"},{"PresentationId":"c72992ff-bfa6-4109-b3f2-959dba1a9837","Title":"Dr","FirstName":"Karin","LastName":"Vargmar","Position":"Deputy Program Director MSc Veterinary program","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Vargmar K"},{"PresentationId":"c72992ff-bfa6-4109-b3f2-959dba1a9837","Title":"Dr.","FirstName":"Johanna","LastName":"Penell","Position":"Dean of Education, Faculty of Veterinary Medicine and Animal Science","Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Penell J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c72992ff-bfa6-4109-b3f2-959dba1a9837","Number":1,"Affiliation":"Dept of Clinical Sciences, Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Dept of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c72992ff-bfa6-4109-b3f2-959dba1a9837","Number":2,"Affiliation":"Dept of Biomedical Sciences and Veterinary Public Health","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Dept of Biomedical Sciences and Veterinary Public Health, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c72992ff-bfa6-4109-b3f2-959dba1a9837","Number":3,"Affiliation":"Dept of Clinical Sciences, Swedish University of Agricultural Sciences","City":"Uppsala","State":"Uppsala","Country":"Sweden","AffiliationDisplay":"Dept of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala Uppsala, Sweden"}],"AuthorsHtml":"Hamlin H1, Vargmar K2, Penell J1","AffiliationsHtml":"
1Dept of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
2Dept of Biomedical Sciences and Veterinary Public Health, Uppsala, Sweden
3Dept of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala Uppsala, Sweden
"}],"DisplayName":"Johanna Penell","TimeDisplay":null},{"ContactId":"62de969e-cc02-459b-836b-29b590831269","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"David","LastName":"Persson","Position":"Assistent Professor","Organization":"Norwegian University of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Sources of variation in mortality within salmon farming","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"230e48f5-c7fd-47a9-8b8c-6569f407af89","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"cc7e7ae2-2218-41a1-a823-12f14ef67297","Html":null,"PlainText":"Effective production management in aquaculture, towards increased survival, health and welfare of salmon, relies on knowledge about causes and variation of mortality. The aims of this study were to describe sources of variation and patterns of mortality in commercial salmon farming during the marine phase.

Data included daily mortality records from 21 mill salmon from ten hatcheries, stocked in 136 cages at 21 farms in two Norwegian companies over the years 2017/2018. Cumulative mortality as outcome was calculated from fish-groups (fish transferred to the same cage from the same hatchery) traceable at day 180 post transfer (“early”, n=121) and at harvest (“harvest”, n=74). A cross-classified multilevel linear regression model was built for each outcome (ln-transformed), with “fish-group” nested within “farm” and cross-classified with “hatchery” as random effects (using MLwiN v. 3.05, University of Bristol).

Mean mortality (range) was in “early” dataset 2.7% (0.3-21.2%) and “harvest” 8.1% (2.7-23.9%). Variance component reduction (VCR) indicated the fixed effects included in the final model explained 46% (“early”) and 35% (“harvest”) compared to the intercept model for each outcome. VCR further allocated modest explanation to the fish-group level. However, assessed by variance component proportion (VCP), “Fish-group” attributed 70% of the variation in the final model of both outcomes. In the “early” model, “farm” and “hatchery” had a VCP of 6.4% and 23.4% respectively. For “harvest mortality” farm had a VCP of 20% and hatchery 10%.

The study indicates fish-group as an important source of variation investigating mortality in salmon aquaculture and mortality varies substantially between fish-groups. Thus, targeted preventive strategies against mortality at the fish-group level is more effective than overall measures at farm to increase survival and improve production of farmed salmon.

Keywords: salmon farming; fish health management; sources of variation; cross-classified multilevel regression; cause specific mortality
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cc7e7ae2-2218-41a1-a823-12f14ef67297","Title":"Mr.","FirstName":"David","LastName":"Persson","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Persson D"},{"PresentationId":"cc7e7ae2-2218-41a1-a823-12f14ef67297","Title":"Dr","FirstName":"Arnfinn","LastName":"Aunsmo","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Aunsmo A"},{"PresentationId":"cc7e7ae2-2218-41a1-a823-12f14ef67297","Title":"Professor","FirstName":"Ane","LastName":"Nødtvedt","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Nødtvedt A"},{"PresentationId":"cc7e7ae2-2218-41a1-a823-12f14ef67297","Title":"Dr","FirstName":"Marit","LastName":"Stormoen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Stormoen M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cc7e7ae2-2218-41a1-a823-12f14ef67297","Number":1,"Affiliation":"Norwegian University of Life Sciences (NMBU)","City":"Ås","State":"Oslo","Country":"Norway","AffiliationDisplay":"Norwegian University of Life Sciences (NMBU), Ås Oslo, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cc7e7ae2-2218-41a1-a823-12f14ef67297","Number":2,"Affiliation":"Laxar Fiskeldi","City":"Reykjavik","State":"Reykjavik","Country":"Iceland","AffiliationDisplay":"Laxar Fiskeldi, Reykjavik Reykjavik, Iceland"}],"AuthorsHtml":"Persson D1, Aunsmo A1,2, Nødtvedt A1, Stormoen M1","AffiliationsHtml":"
1Norwegian University of Life Sciences (NMBU), Ås Oslo, Norway
2Laxar Fiskeldi, Reykjavik Reykjavik, Iceland
"}],"DisplayName":"David Persson","TimeDisplay":null},{"ContactId":"7cc6be24-2536-4025-b79d-2d5e90621237","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"José","LastName":"Piaggio","Position":"Professor","Organization":"Facultad de Veterinaria UDELAR","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Infertility in beef cattle associated with leptospirosis indicators.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Html":null,"PlainText":"Bovine leptospirosis is a worldwide distributed disease that causes huge economic losses. In cattle, the chronic form of the disease it is known to cause abortions and infertility. The aim of this study was to determine the association between Leptospira seropositivity and/or renal carriers, and infertility problems in beef cows. A case-control study was carried out. In 2020, eleven beef herds without history of vaccination for leptospirosis were selected. Each herd was visited during the first third of gestation of cows, where blood and urine samples were taken from 25 pregnant cows (controls) and 10 infertile cows (cases). The serum samples were processed by microscopic agglutination test (MAT) against nine serogroups and urine samples by qPCR-LipL32. The statistical analysis was made with a mixed-model regression for binary variables, with herds as a random effect. An association was found between seroreactivity to Sejroe serogroup, renal carriers and infertility problems. Cows with titers ≥1:200 for Sejroe serogroup in MAT are 1.9 (95% CI: 1.0-3.7) times more likely to be infertile (p=0.055); and cows excreting Leptospira spp. in urine (renal carrier) are 2.7 (95% CI: 1.5-4.6) times more likely to be infertile (p<0.01). An interaction was found, cows seropositive for serogroup Sejroe and excreting Leptospira spp. are 3.7 (95% CI: 1.8-7.4) times more likely to be infertile (p<0.01). When comparing the seropositivity to Sejroe serogroup (titles ≥1:200) between pregnant and infertile cows, significant differences were found, having 22.8 ± 2.5% and 34.5 ± 4.6% (p=0.018), respectively. On the other hand, 28.6 ± 2.7% of pregnant cows and 50 ± 4.8% in the infertile group were positive to PCR (p<0.01). It was concluded that serological diagnosis and detection of bacterial DNA in urine of pathogen Leptospira spp. could be an indicator of infertility problems in unvaccinated beef herds.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Title":"Dr.","FirstName":"Valentina","LastName":"Macchi","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Macchi V"},{"PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Title":"Dr.","FirstName":"Alejandra","LastName":"Suanes","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Suanes A"},{"PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Title":"Dr.","FirstName":"Ximena","LastName":"Salaberry","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Salaberry X"},{"PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Title":"Br.","FirstName":"Bruno","LastName":"Dearmas","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Dearmas B"},{"PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Title":"Dr.","FirstName":"Emiliano","LastName":"Rivas","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Rivas E"},{"PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Title":"Mr.","FirstName":"José","LastName":"Piaggio","Position":"Professor","Affiliations":"2","IsPresenting":true,"SortOrder":6,"DisplayName":"Piaggio J"},{"PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Title":"Mr.","FirstName":"Andres","LastName":"Gil","Position":"Board member","Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Gil A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Number":1,"Affiliation":"DILAVE-MGAP","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"DILAVE-MGAP, Montevideo Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef83d8b9-c831-428c-9155-fa995ff995fe","Number":2,"Affiliation":"UdelaR","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"UdelaR, Montevideo Montevideo, Uruguay"}],"AuthorsHtml":"Macchi V1, Suanes A1, Salaberry X1, Dearmas B2, Rivas E2, Piaggio J2, Gil A2","AffiliationsHtml":"
1DILAVE-MGAP, Montevideo Montevideo, Uruguay
2UdelaR, Montevideo Montevideo, Uruguay
"},{"Title":"Panel Study of Milk Production and Serological Status of Neospora Caninum in First Lactation Cows from an Infected Herd","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Html":null,"PlainText":"Objective: It was to monitor the serology and the milk production in a group of first lactation cows on a monthly basis to evaluate its usefulness in warning of an eventual increase in abortions and the association between these variables.
Materials and methods: Serum samples were taken monthly from 75 first lactation cows during a 12-month period, from October 2020 to September 2021 from a dairy herd population with 12,000 milking cows with a history of N. caninum abortions. Serological diagnosis was performed using a commercial competition ELISA test (IDvet), and individual milk production was recorded every month. Categorical variables were tested using the Chi square test. Association between milk production and neospora serological status was evaluated by a mixed model, considering cow as a random effect, with an autoregression pattern of order 1 in time (month), and adjusted by lactation month.
Results: Daily milk production average of the 75 cows in the 10 months evaluated was 34.1 liters. Minimum seropositivity occurred in month 4 (25.33%) and maximum in month 10 (50.67%). Changes in serology went both ways and were significantly associated with the month of the year (p<0.01). The model showed a daily milk production negative associated with N. caninum serology (p<0.05) with a coefficient of -1.43. The linear prediction of average production for the negative and positive cows was respectively 34.58 and 33.15 liters.
Conclusions: The potential use of serological status of cows as indicators of risk for abortion could not be validated, since no outbreak of abortions occurred during the studied period. A potential big impact of serology on daily production was found, which showed a lower average production of -1.43 liter for positive serology for N.caninum. This association should be confirmed in future studies and we should understand the biological reasons of this effect. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Title":"Mr.","FirstName":"José","LastName":"Piaggio","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Piaggio J"},{"PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Title":"Dr.","FirstName":"Florencia","LastName":"Pieruccioni","Position":"Laboratory Veterinarian","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Pieruccioni F"},{"PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Title":"Dr.","FirstName":"Joaquin","LastName":"Armua","Position":"Laboratory Veterinarian","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Armua J"},{"PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Title":"DVM","FirstName":"Iahela","LastName":"Ferraro","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Ferraro I"},{"PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Title":"Mr.","FirstName":"Andres","LastName":"Gil","Position":"Board member","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Gil A"},{"PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Title":"MSc","FirstName":"Cristina","LastName":"Easton","Position":"Pathologist","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Easton C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Number":1,"Affiliation":"Facultad De Veterinaria / Universidad De La República","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Facultad De Veterinaria / Universidad De La República, Montevideo Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Number":2,"Affiliation":"Dirección General de Servicios Ganaderos / MGAP","City":"Montevideo","State":"Montevideo","Country":"Uruguay","AffiliationDisplay":"Dirección General de Servicios Ganaderos / MGAP, Montevideo Montevideo, Uruguay"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"355d90f0-fd3c-439b-8c8b-cf68bb606a49","Number":3,"Affiliation":"Veterinary Practitioner","City":"Durazno","State":"Durazno","Country":"Uruguay","AffiliationDisplay":"Veterinary Practitioner, Durazno Durazno, Uruguay"}],"AuthorsHtml":"Piaggio J1, Pieruccioni F2, Armua J2, Ferraro I3, Gil A1, Easton C2","AffiliationsHtml":"
1Facultad De Veterinaria / Universidad De La República, Montevideo Montevideo, Uruguay
2Dirección General de Servicios Ganaderos / MGAP, Montevideo Montevideo, Uruguay
3Veterinary Practitioner, Durazno Durazno, Uruguay
"}],"DisplayName":"José Piaggio","TimeDisplay":null},{"ContactId":"59ca1e61-21bc-46ad-8f8e-bdce6cdf854d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"David","LastName":"Pigott","Position":"Assistant Professor","Organization":"University of Washington","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Progress towards quantifying the impact of poor livestock health outcomes on human health","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Html":null,"PlainText":"Livestock are an essential component of human society, whether as a source of food, an asset, or a tradable commodity generator. As such, poor health outcomes in animals have a variety of impacts on subsequent human welfare and health, directly and indirectly. Using the Disability-Adjusted Life Years (DALYs) framework, we have explored the linkages between human and animal health outcomes, and identified necessary data and proposed methodological pathways to quantify these outcomes, with more detailed examples outlined for zoonotic pathogens, anti-microbial resistance (AMR), and diet.

For zoonotic pathogens, we identified global priorities for zoonotic pathogens, demonstrating where burden assessments are most necessary and surveyed the literature to identify the current state-of-the-art with respect to regional and global estimates of their impact. While some pathogens, such as Salmonella, are represented often, this is more through the lens of food safety, or diarrheal disease, rather than zoonoses. In contrast, a zoonotic disease such as anthrax, which has both biosecurity concerns in addition to transmission in endemic settings, was identified as a priority by 73 different nations, yet no global burden assessment has been undertaken. For brucellosis, another priority zoonosis, we undertook a detailed review of prior burden estimates to identify key data gaps and parameters that are disproportionately overlooked in current assessments. For instance, we saw variation in the sequelae associated with brucellosis infection, paired with duration parameters ranging from two weeks to four and a half years; such decisions have large impacts on subsequent total DALYs.

For AMR, we are determining the One Health priority drugs, and evaluating global data on AMR prevalence in livestock species by assessing the ResistanceBank repository and selected national survey programs. We identify countries and bug-drug combos that are currently underrepresented within existing surveillance and contrast these gaps with key features such as livestock census counts to better understand the possible consequences of this missing data. Moreover, we evaluate the correlation between the percentage of isolates from humans that were resistant for specific bug-drug combinations, as estimated by the Global Burden of Disease, with their animal comparator to determine which combinations are the most likely to benefit from more detailed investigations into causal linkages between animal patterns of resistance and human infections. To further explore the available evidence on this link, we review and summarize studies attributing human AMR to livestock AMR.

Finally, we lay out a holistic blueprint for quantifying the total impact of poor animal health on humans, and using diet and nutrition as an example, we outline a quantification pathway by which forecasts, and scenarios could be produced that propagate changes in the health of livestock and their subsequent impacts, mediated via food, on human health outcomes. We identify a constellation of pre-existing processes that, if chained together, could translate measures of productivity losses or gains, into macro- and micronutrient intake patterns, changes in population risks and exposures, and therefore corresponding changes in human health. In doing so, we demonstrate a proof-of-concept as to how we can begin to breakdown the various consequences of poor animal health into quantifiable and comparable elements. These collated methods and data represent the first time that a comprehensive attempt to quantify the total impact of animal health on humans has been presented.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Title":"Mr.","FirstName":"Brecht","LastName":"Devleesschauwer","Position":null,"Affiliations":"1,2,6","IsPresenting":false,"SortOrder":1,"DisplayName":"Devleesschauwer B"},{"PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Title":"Ms.","FirstName":"Carlotta","LastName":"Di Bari","Position":"Research Assistant","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Di Bari C"},{"PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Title":"Ms.","FirstName":"Narmada","LastName":"Venkateswaran","Position":"Researcher","Affiliations":"1,3","IsPresenting":false,"SortOrder":3,"DisplayName":"Venkateswaran N"},{"PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Title":"Ms.","FirstName":"Christina","LastName":"Fastl","Position":"Research assistant","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Fastl C"},{"PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Title":"Dr.","FirstName":"Grace","LastName":"Patterson","Position":"Postdoctoral Fellow","Affiliations":"1,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Patterson G"},{"PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Title":"Dr.","FirstName":"Andrew","LastName":"Larkins","Position":"Phd Candidate | Research Assistant","Affiliations":"1,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Larkins A"},{"PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Title":"PhD","FirstName":"David","LastName":"Pigott","Position":null,"Affiliations":"1,3","IsPresenting":true,"SortOrder":7,"DisplayName":"Pigott D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Number":1,"Affiliation":"Global burden of Animal Diseases programme","City":null,"State":null,"Country":null,"AffiliationDisplay":"Global burden of Animal Diseases programme"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Number":2,"Affiliation":"Department of Epidemiology and Public Health, Sciensano","City":"Brussels","State":null,"Country":"Belgium","AffiliationDisplay":"Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Number":3,"Affiliation":"Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington","City":"Seattle","State":"WA","Country":"USA","AffiliationDisplay":"Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle WA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Number":4,"Affiliation":"Department of Translational Physiology, Infectiology, and Public Health, Ghent University","City":"Merelbeke","State":null,"Country":"Belgium","AffiliationDisplay":"Department of Translational Physiology, Infectiology, and Public Health, Ghent University, Merelbeke, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Number":4,"Affiliation":"Department of Population Medicine, Ontario Veterinary College, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"139ff353-274d-445e-a1ff-9c696236d073","Number":5,"Affiliation":"School of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University","City":"Murdoch","State":"WA","Country":"Australia","AffiliationDisplay":"School of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University, Murdoch WA, Australia"}],"AuthorsHtml":"Devleesschauwer B1,2,6, Di Bari C1,2, Venkateswaran N1,3, Fastl C1,2, Patterson G1,4, Larkins A1,5, Pigott D1,3","AffiliationsHtml":"
1Global burden of Animal Diseases programme
2Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
3Institute for Health Metrics and Evaluation, Department of Health Metrics Sciences, University of Washington, Seattle WA, USA
4Department of Translational Physiology, Infectiology, and Public Health, Ghent University, Merelbeke, Belgium
4Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph ON, Canada
5School of Veterinary Medicine, Centre for Biosecurity and One Health, Murdoch University, Murdoch WA, Australia
"}],"DisplayName":"David Pigott","TimeDisplay":null},{"ContactId":"95262bc4-bad1-4d89-ad40-59034bd02a4e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lee","LastName":"Pinnell","Position":"Postdoctoral Research Associate","Organization":"Texas A&M University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"More than an anthropogenic phenomenon: antimicrobial resistance in ungulates from pristine and agricultural environments","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3444e93f-520e-4c61-a80c-376f1d32b798","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Html":null,"PlainText":"Objectives. Antimicrobial resistance (AMR) is widely considered an anthropogenic phenomenon but is a naturally occurring mechanism microorganisms use to gain a competitive advantage. Currently, AMR represents a significant threat to public health and has generated criticism towards the overuse of antimicrobial drugs. Livestock have been proposed as important reservoirs for AMR accumulation. This study characterized the microbial communities and AMR potential of feedlot cattle and ungulates from two pristine environments (Yellowstone National Park and Rocky Mountain National Park).

Materials and Methods. This study use 16s rRNA gene sequencing and AMR target-enriched metagenomics (AMR-TE) to characterize the microbiome and resistome, respectively. 16S rRNA sequence data were analyzed with QIIME2 and phyloseq, while AMR-TE sequence data was analyzed using AMR++ and phyloseq.

Results. Assemblages of AMR genes in cattle and ungulates from pristine environments (Yellowstone and Rocky Mountain National Parks) are all dominated by genes conferring resistance to tetracyclines. However, cattle contained higher proportions of erm(A-X) genes conferring resistance to macrolide antibiotics. Medically important AMR genes differed between cattle and natural ungulates, but cumulatively were more predominant in pristine soils.

Conclusions. Our findings suggest that the commonly described predominance of tetracycline resistance in cattle feces is a natural phenomenon within ungulates and not solely a result of antimicrobial drug exposure. Conversely, the virtual absence of macrolide resistance genes in natural ungulates suggests that macrolide usage is enriching for these genes in cattle. Our results show that antimicrobial use in agriculture may be promoting a potential reservoir for specific types of AMR (i.e., macrolide resistance) but that a large proportion of the ungulate resistome appears to have natural origins.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":"Dr.","FirstName":"Lee","LastName":"Pinnell","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pinnell L"},{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":null,"FirstName":"Grace","LastName":"Kupier","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kupier G"},{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":null,"FirstName":"Kate","LastName":"Huebner","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Huebner K"},{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":null,"FirstName":"Enrique","LastName":"Doster","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Doster E"},{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":null,"FirstName":"Jennifer","LastName":"Parker","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Parker J"},{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":null,"FirstName":"Najla","LastName":"Alekozai","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Alekozai N"},{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":null,"FirstName":"Jenny","LastName":"Powers","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Powers J"},{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":null,"FirstName":"Rick","LastName":"Wallen","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":8,"DisplayName":"Wallen R"},{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":null,"FirstName":"Keith","LastName":"Belk","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":9,"DisplayName":"Belk K"},{"PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Title":null,"FirstName":"Paul","LastName":"Morley","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":10,"DisplayName":"Morley P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Number":1,"Affiliation":"Texas A&M University","City":"Canyon","State":"TX","Country":"USA","AffiliationDisplay":"Texas A&M University, Canyon TX, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Number":2,"Affiliation":"Colorado State University","City":"Fort Collins","State":"CO","Country":"USA","AffiliationDisplay":"Colorado State University, Fort Collins CO, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Number":3,"Affiliation":"Biological Resources Division, National Park Service","City":"Fort Collins","State":"CO","Country":"USA","AffiliationDisplay":"Biological Resources Division, National Park Service, Fort Collins CO, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"47dbfa9f-51b1-47be-a505-edae46504f37","Number":4,"Affiliation":"Yellowstone National Park, National Park Service","City":"Mammoth","State":"WY","Country":"USA","AffiliationDisplay":"Yellowstone National Park, National Park Service, Mammoth WY, USA"}],"AuthorsHtml":"Pinnell L1, Kupier G2, Huebner K2, Doster E1,2, Parker J2, Alekozai N2, Powers J3, Wallen R4, Belk K2, Morley P1","AffiliationsHtml":"
1Texas A&M University, Canyon TX, USA
2Colorado State University, Fort Collins CO, USA
3Biological Resources Division, National Park Service, Fort Collins CO, USA
4Yellowstone National Park, National Park Service, Mammoth WY, USA
"}],"DisplayName":"Lee Pinnell","TimeDisplay":null},{"ContactId":"60e40042-2a58-4260-be1e-7823c8137cd2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Francesco","LastName":"Pinotti","Position":null,"Organization":"University of Oxford","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Transmission dynamics of H9N2 Avian Influenza virus in a Live-Bird market in Chattogram, Bangladesh","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7e30a9c-236f-4ba3-b0a6-7c7cd4fd235d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.D - Infectious Disease Modeling","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Html":null,"PlainText":"Objectives: Multiple subtypes of Avian Influenza viruses (AIVs) are endemic in Bangladesh. Prevalence of H9N2 AIV is high in Live-Bird markets (LBMs), causing concerns about risk of reassortment and cross-species spillover events. Yet, AIV transmission dynamics remains poorly understood, and it is unclear whether amplification happens within LBMs, or outside during, e.g., transportation.

Methods: In this work, we analysed a novel dataset from a field experiment set in an LBM. There, chickens acquired from either farmers or mobile traders were caged together and tested repeatedly by RT-PCR. We fitted a mathematical model simulating the spread of AIVs in an LBM to this data. We inferred H9N2 transmission rate, and the proportion of chickens with prior exposure entering the market. Finally, we used this knowledge to assess the impact of potential interventions on transmission.

Results: We find high levels of H9N2 transmission within LBMs, with most susceptible chickens becoming exposed to the virus within a single day (Figure). Nineteen percent (9-38% 95% C.I.) of broiler chickens and 24% (17-31%) of indigenous backyard chickens were estimated to be already exposed when entering the market. High transmission levels were difficult to control with non-pharmaceutical interventions, whereas vaccinating 50% of the chickens prevented 60% of new infections within the market.

Conclusion: Our results indicate that LBMs are important hotspots for H9N2 AIV transmission, and support introduction of pre-emptive immunisation to curtail transmission.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c34ac4a890c049cab350a544df84e065","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Title":"Dr.","FirstName":"Francesco","LastName":"Pinotti","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pinotti F"},{"PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Title":"Dr","FirstName":"Lisa","LastName":"Kohnle","Position":null,"Affiliations":"2,5","IsPresenting":false,"SortOrder":2,"DisplayName":"Kohnle L"},{"PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Title":"Dr","FirstName":"José","LastName":"Lourenço","Position":null,"Affiliations":"1,4","IsPresenting":false,"SortOrder":3,"DisplayName":"Lourenço J"},{"PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Title":"Prof","FirstName":"Dirk","LastName":"Pfeiffer","Position":null,"Affiliations":"2,3","IsPresenting":false,"SortOrder":4,"DisplayName":"Pfeiffer D"},{"PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Title":null,"FirstName":" ","LastName":"One Health Poultry Hub","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"One Health Poultry Hub"},{"PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Title":"Dr","FirstName":"Guillaume","LastName":"Fournié","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Fournié G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Number":1,"Affiliation":"University Of Oxford","City":"Oxford","State":"England","Country":"United Kingdom","AffiliationDisplay":"University Of Oxford, Oxford England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Number":2,"Affiliation":"City University of Hong Kong","City":"Hong Kong","State":null,"Country":"China","AffiliationDisplay":"City University of Hong Kong, Hong Kong, China"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Number":3,"Affiliation":"Royal Veterinary College, University of London","City":"Hatfield","State":"England","Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, University of London, Hatfield England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Number":4,"Affiliation":"Biosystems and Integrative Sciences Institute","City":"Lisbon","State":null,"Country":"Portugal","AffiliationDisplay":"Biosystems and Integrative Sciences Institute, Lisbon, Portugal"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64887845-bef1-49c8-a743-b079f683cbef","Number":5,"Affiliation":"European Food Safety Authority","City":null,"State":null,"Country":null,"AffiliationDisplay":"European Food Safety Authority"}],"AuthorsHtml":"Pinotti F1, Kohnle L2,5, Lourenço J1,4, Pfeiffer D2,3, One Health Poultry Hub, Fournié G3","AffiliationsHtml":"
1University Of Oxford, Oxford England, United Kingdom
2City University of Hong Kong, Hong Kong, China
3Royal Veterinary College, University of London, Hatfield England, United Kingdom
4Biosystems and Integrative Sciences Institute, Lisbon, Portugal
5European Food Safety Authority
"},{"Title":"Increasing realism in modelling pathogen transmission in poultry production and distribution networks: a novel agent-based modelling framework.","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"a2e9d146-090f-4806-9173-28a92bbc0dfd","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"11_Special Session: Animal Disease Spread Modelling","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"4b8a8063-4738-4acd-b222-b166005e3f02","Html":null,"PlainText":"Objectives: Poultry farming, transportation and trading activities are known to provide opportunities for transmission and rapid dissemination of infectious agents, with serious implications for food safety and risk of spillover into humans. However, the inherent complexity of such systems limits our ability to disentangle the relative contribution of individual key actor types to epidemic risk. Here, we aim to fill this gap by presenting a novel, detailed agent-based model (ABM) of poultry production and distribution.

Methods: The model involves multiple types of actors and settings, including farms, mobile traders and live-bird markets, and synthesises a wealth of poultry trade data collected in the context of a large-scale interdisciplinary research initiative. In addition, the ABM allows to simulate the spread of one or more pathogens within and between flocks, through direct and/or environmental transmission.

Results: Using avian influenza in Bangladesh as a case study, we show that our model is able to reproduce realistic networks of poultry movements, over a range of demographic and behavioural assumptions about key actors. We then illustrate how our ABM can be used to characterise chicken mixing patterns across the country, evaluate transmission risk in different settings, and re-construct simulated transmission chains which are then compared to phylogenetic analytical outputs. Finally, we assess the potential impact of the underlying network on persistence and dissemination of individual viral strains and on the co-circulation dynamics of multiple lineages in the same population.

Conclusion: Our ABM provides a novel framework that allows practitioners to characterise a wide variety of eco-epidemiological scenarios, including the emergence of novel pathogens and the introduction of public health interventions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4b8a8063-4738-4acd-b222-b166005e3f02","Title":"Dr.","FirstName":"Francesco","LastName":"Pinotti","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pinotti F"},{"PresentationId":"4b8a8063-4738-4acd-b222-b166005e3f02","Title":"Prof","FirstName":"Sunetra","LastName":"Gupta","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gupta S"},{"PresentationId":"4b8a8063-4738-4acd-b222-b166005e3f02","Title":"Dr","FirstName":"José","LastName":"Lourenço","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Lourenço J"},{"PresentationId":"4b8a8063-4738-4acd-b222-b166005e3f02","Title":null,"FirstName":"","LastName":"One Health Poultry Hub","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"One Health Poultry Hub"},{"PresentationId":"4b8a8063-4738-4acd-b222-b166005e3f02","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Fournie G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4b8a8063-4738-4acd-b222-b166005e3f02","Number":1,"Affiliation":"University Of Oxford","City":"Oxford","State":"England","Country":"United Kingdom","AffiliationDisplay":"University Of Oxford, Oxford England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4b8a8063-4738-4acd-b222-b166005e3f02","Number":2,"Affiliation":"Biosystems and Integrative Sciences Institute","City":"Lisbon","State":null,"Country":"Portugal","AffiliationDisplay":"Biosystems and Integrative Sciences Institute, Lisbon, Portugal"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4b8a8063-4738-4acd-b222-b166005e3f02","Number":3,"Affiliation":"Royal Veterinary College, University of London","City":"Hatfield","State":"England","Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, University of London, Hatfield England, United Kingdom"}],"AuthorsHtml":"Pinotti F1, Gupta S1, Lourenço J1,2, One Health Poultry Hub, Fournie G3","AffiliationsHtml":"
1University Of Oxford, Oxford England, United Kingdom
2Biosystems and Integrative Sciences Institute, Lisbon, Portugal
3Royal Veterinary College, University of London, Hatfield England, United Kingdom
"}],"DisplayName":"Francesco Pinotti","TimeDisplay":null},{"ContactId":"581ed1a1-3963-47bf-9161-fbc4e226bdef","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alda","LastName":"Pires","Position":"Associate Professor For Cooperative Extension","Organization":"University of California","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"piresalda1; aldapireslab","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"@aldapireslab","GooglePlusUrl":null,"TwitterHandle":"piresalda1; aldapireslab","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"@aldapireslab","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=piresalda1; aldapireslab","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"http://@aldapireslab","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=piresalda1; aldapireslab","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://@aldapireslab","Font":"fab fa-instagram","Color":"#C32AA3"}],"Bio":null,"Presentations":[{"Title":"Identification of high-risk contact areas between feral pigs and outdoor-raised pig operations in California: implications for disease transmission in the wildlife-livestock interface ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"606a7004-0a8b-4317-b142-596fb4934133","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"a7a32c7c-d8be-4481-a086-ea5ac16e07cc","Html":null,"PlainText":"While primarily considered a niche production system in the US, outdoor-raised pig operations (OPO) are broadly distributed throughout California. A challenge in raising pigs outdoors is the possibility of interaction with feral pigs and an associated risk of pathogen transmission. California has one of the widest geographic distributions of feral pigs. The overall objective of this study entailed ascertaining high-risk areas of contact between feral pigs and OPO, as potential disease transmission areas in the wildlife-livestock interface. This objective was achieved by: 1) predicting suitable feral pig habitat using Maximum Entropy (MaxEnt); 2) mapping the distribution of OPO; and 3) building a risk map to identify regions where there is a potential for high-risk contact between feral pig suitable habitat and OPO.

A prediction map of suitable feral pig habitat in California was created using MaxEnt methodology. Hunting tag coordinates served as a proxy for feral pig presence and predictor layers were included in variable selection steps for model building.
To build the risk map, the final MaxEnt feral pig suitable habitat raster was overlapped with the location of OPO to categorize areas at greatest risk for disease transmission, due to contact between these two swine populations. OPO locations were obtained through various sources including web searches and visits to farmers markets.

Five variables were identified as important in predicting suitable feral pig habitat in the final MaxEnt model. A total of 305 OPO were identified between 2014-2019. Results of the risk map indicated that 49.18% of OPO were located near extremely high or highly suitable feral pig habitat.

This study provides a foundation to design targeted, cost-effective disease surveillance and risk mitigation programs in regions at highest risk for wild-domestic pig contact and can serve as a template for similar efforts nationwide.

Maximum Entropy, risk map, swine, emerging disease
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a7a32c7c-d8be-4481-a086-ea5ac16e07cc","Title":"Mrs.","FirstName":"Laura","LastName":"Patterson","Position":"Senior Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Patterson L"},{"PresentationId":"a7a32c7c-d8be-4481-a086-ea5ac16e07cc","Title":"Dr.","FirstName":"Jaber","LastName":"Belkhiria","Position":"Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Belkhiria J"},{"PresentationId":"a7a32c7c-d8be-4481-a086-ea5ac16e07cc","Title":"Dr.","FirstName":"Beatriz","LastName":"Martínez-López","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Martínez-López B"},{"PresentationId":"a7a32c7c-d8be-4481-a086-ea5ac16e07cc","Title":"Ms.","FirstName":"Alda","LastName":"Pires","Position":"Associate Professor For Cooperative Extension","Affiliations":"2","IsPresenting":true,"SortOrder":4,"DisplayName":"Pires A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a7a32c7c-d8be-4481-a086-ea5ac16e07cc","Number":1,"Affiliation":"CDC Foundation","City":"Cotati","State":"CA","Country":"USA","AffiliationDisplay":"CDC Foundation, Cotati CA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a7a32c7c-d8be-4481-a086-ea5ac16e07cc","Number":2,"Affiliation":"University of California, Davis","City":"Davis","State":"CA","Country":"USA","AffiliationDisplay":"University of California, Davis, Davis CA, USA"}],"AuthorsHtml":"Patterson L1, Belkhiria J2, Martínez-López B2, Pires A2","AffiliationsHtml":"
1CDC Foundation, Cotati CA, USA
2University of California, Davis, Davis CA, USA
"}],"DisplayName":"Alda Pires","TimeDisplay":null},{"ContactId":"43775191-4c35-4475-a473-5ade775070a9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Dale","LastName":"Polson","Position":null,"Organization":"Boehringer Ingelheim","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Economic assessment of a sound-based precision livestock farming tool based on timing of intervention after a Mycoplasma hyopneumoniae and PRRS virus seeder challenge in pigs ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7ef23fe7-0a8c-4a54-afbd-b854c4e18dee","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"94e970ca-89ec-41bb-ae3e-908ba8676b64","Html":null,"PlainText":"Objective
The objective of this study was to evaluate the performance and economic differences resulting from earlier intervention following the onset of a clinically detectable respiratory disease episode as detected by a sound-based technology (SoundTalks).

Materials and Methods
A total of 1655 11-week-old pigs were equally distributed throughout 72 pens and two rooms of a large research barn. In every pen, three randomly selected seeder pigs were challenged seven days apart with first Mycoplasma hyopneumoniae and then PRRS virus. The number of days to the onset of treatment after the first SoundTalks alerts was defined as follows for each group: day zero (G0), day 5 (G5) and day 10 (G10). Pigs in all three treatment groups received the same combination immunological + antimicrobial responsive intervention protocol. Economic effect differences between treatment groups were calculated using a “Standardized Economic Index” (SEI) based on a partial budget model and monthly input cost and market price data over a 10 year period. A 48 month rolling average was used to allow evaluation of the B:C ratio across the estimated lifespan of SoundTalks hardware.

Results
Production variable values were introduced into the SEI model. Throughout the 120 month period (January 2011 through December 2020), and using a CTO of USD $0.254/pig marketed the mean monthly B:C Ratio was 4.27, ranging from 2.52 to 7.90 and exceeding 2:1 for 120 of 120 (100%) months (G0:G5). For the same 120 month period, the 48 month rolling B:C Ratio ranged from 3.37 to 5.06, exceeded 2:1 for 120 of 120 (100%) intervals (G0:G5).

Conclusion
This study suggests that there can be a consistently favorable economic impact is achievable where relatively small performance differences are obtained using a technology that enables early detection followed by earlier intervention.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"94e970ca-89ec-41bb-ae3e-908ba8676b64","Title":"Dr.","FirstName":"Dale","LastName":"Polson","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Polson D"},{"PresentationId":"94e970ca-89ec-41bb-ae3e-908ba8676b64","Title":"Dr.","FirstName":"Carmen","LastName":"Alonso","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Alonso C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94e970ca-89ec-41bb-ae3e-908ba8676b64","Number":1,"Affiliation":"Boehringer Ingelheim","City":"Ankeny","State":"IA","Country":"USA","AffiliationDisplay":"Boehringer Ingelheim, Ankeny IA, USA"}],"AuthorsHtml":"Polson D1, Alonso C1","AffiliationsHtml":"
1Boehringer Ingelheim, Ankeny IA, USA
"}],"DisplayName":"Dale Polson","TimeDisplay":null},{"ContactId":"87b62346-1e0e-4f58-a2e6-3b327dba5908","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Pilar","LastName":"Pozo","Position":"Postdoctoral researcher","Organization":"VISAVET-UCM","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6b713d2f1d114e2686ddba5d85d2a489","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The minority report: Foreknowledge of the risk of bovine tuberculosis persistence in an endemic region","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3d5c5931-1ee5-4c35-b571-341c8da69512","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.D - Risk assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Html":null,"PlainText":"Bovine tuberculosis (bTB) persistence, in terms of chronic and recurrent infection, remains a major challenge for disease eradication in endemic regions worldwide. Beforehand identification of infected herds that will be difficult to manage due to recurrence/persistence of disease could help to develop optimized strategies to minimize the risk of disease spread to other susceptible animals/herds. Here, we characterized herd- and bTB breakdown-level risk factors associated with bTB persistence and recurrence in positive herds located in Castilla y Leon, a high prevalence region of Spain.
Demographic information, cattle movements, and data from bTB breakdowns occurring in up to 3,936 herds during 2010-2020 were analyzed. Time to recover officially TB free status and time to recurrence, and the probability of becoming a chronic/recurrent herd were evaluated using two approaches, Cox proportional hazards and multivariable logistic regression models.
Location (province), increasing herd size (>134 animals), and high number of incoming contacts/animals in the previous three years were good predictors of both chronic and recurrent infection among infected herds. The severity of bTB breakdowns, in terms of higher number of in vivo (≥5) and postmortem (≥3) bTB positive animals in the disclosing test, increased breakdown duration, which, in turn, increased the probability of bTB recurrence. Herds located in counties with 0.2-1% prevalence and tested at increased intervals (>124 days) were at higher risk of prolonged bTB breakdowns compared to those tested within 2 months after the disclosing test.
Early on application of risk-based policies, intensive surveillance and awareness over herds with epidemiological features identified here may help to foresee bTB persistence in herds more prone to suffer recurrent and prolonged bTB breakdowns. Results obtained here may help to prioritize efforts and targeted control measures which can be extensible to regions that face similar bTB challenges.

bovine tuberculosis, chronic breakdowns, recurrence, risk factors, eradication programs.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Title":"Dr.","FirstName":"Pilar","LastName":"Pozo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pozo P"},{"PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Title":"Dr.","FirstName":"Javier","LastName":"Bezos","Position":"2","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Bezos J"},{"PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Title":"Dr.","FirstName":"Beatriz","LastName":"Romero","Position":"3","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Romero B"},{"PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Title":"Dr.","FirstName":"Olga","LastName":"Minguez","Position":"4","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Minguez O"},{"PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Title":"Dr.","FirstName":"Jose Luis","LastName":"Saez","Position":"5","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Saez J"},{"PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Title":"Dr.","FirstName":"Julio","LastName":"Alvarez","Position":"Last","Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Alvarez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Number":1,"Affiliation":"VISAVET Health Surveillance Centre. Universidad Complutense de Madrid","City":null,"State":"Madrid","Country":"Spain","AffiliationDisplay":"VISAVET Health Surveillance Centre. Universidad Complutense de Madrid, Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Number":2,"Affiliation":"Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid","City":null,"State":"Madrid","Country":"Spain","AffiliationDisplay":"Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Number":3,"Affiliation":"Dirección General de Producción Agropecuaria e Infraestructuras Agrarias, Consejería de Agricultura y Ganadería de la Junta de Castilla y León","City":null,"State":"Valladolid","Country":"Spain","AffiliationDisplay":"Dirección General de Producción Agropecuaria e Infraestructuras Agrarias, Consejería de Agricultura y Ganadería de la Junta de Castilla y León, Valladolid, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"76dbf612-f909-45c3-9ac5-c781ab23cdec","Number":4,"Affiliation":"Subdirección General de Sanidad e Higiene Animal y Trazabilidad, Dirección General de Sanidad de la Producción Agraria, Ministerio de Agricultura, Pesca y Alimentación","City":null,"State":"Madrid","Country":"Spain","AffiliationDisplay":"Subdirección General de Sanidad e Higiene Animal y Trazabilidad, Dirección General de Sanidad de la Producción Agraria, Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain"}],"AuthorsHtml":"Pozo P1, Bezos J1,2, Romero B1,2, Minguez O3, Saez J4, Alvarez J1,2","AffiliationsHtml":"
1VISAVET Health Surveillance Centre. Universidad Complutense de Madrid, Madrid, Spain
2Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain
3Dirección General de Producción Agropecuaria e Infraestructuras Agrarias, Consejería de Agricultura y Ganadería de la Junta de Castilla y León, Valladolid, Spain
4Subdirección General de Sanidad e Higiene Animal y Trazabilidad, Dirección General de Sanidad de la Producción Agraria, Ministerio de Agricultura, Pesca y Alimentación, Madrid, Spain
"}],"DisplayName":"Pilar Pozo","TimeDisplay":null},{"ContactId":"221646d7-e334-485f-84d5-6fb0d39229df","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Shivani","LastName":"Pradhan","Position":"Veterinary Officer","Organization":"Animal Husbandry And Veterinary Services, Government Of Sikkim","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/1278cd0e33a84ffbb5a318c332cf94d5","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"KAP of the General Community Regarding Dog-Mediated Rabies in and around Guwahati","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"5d80fd86-d93d-43fe-8f59-defe983f2078","Html":null,"PlainText":"The objective of this study was to assess the KAP of dog-mediated rabies in the general community residing in and around Guwahati, Assam, India.
A non-interventional descriptive cross-sectional survey was conducted during February-June 2018 using a pre-validated pre-tested questionnaire via face-to-face interview. A multi-stage stratified sampling method was used to study the rural/urban locations. Villages/wards being the first stage followed by selection of specific villages/wards as the second stage and chosen households were the domain of the present study. A total of 363 households were included with prior consent.
The participants comprised of 57.85% females and 42.15% males located in rural(34.44%) and urban(65.6%) areas. The survey revealed a higher incidence of dog-bite cases in livestock and pets in rural(8; 6.40%; 95% CI: 3.28-12.12%) than in urban (4; 1.68%; 95% CI: 0.66-4.24%) areas corresponding to an aggregate of 12 (3.31%; 95% CI: 1.90-5.69%) which was significantly associated with the locations(Chi-sq=5.71, df=1, p=0.017). Dog-bite exposures were higher in the periphery than within the Guwahati(OR=4.00, 95% CI: 1.18-13.56; p=0.017). The characteristic of the community under study comprised of dog owners and non-dog owners with a higher (94.8%) being aware of rabies and 93.9% identified dogs to be responsible for rabies transmission. While 92.3% respondents knew that rabies was transmitted through bites, 76% were aware about its transmission through licks and scratches also. Regarding dog-bite casualty, 17.91% were victims themselves and the rest had relatives or unrelated person as victims. Of these, 84.3% bite victims visited hospital for prophylaxis, but 30.6% visited local healers. 80.44% respondents were aware that post-bite ARV prevented death.
This study showed that rabies awareness camps organized by government and professionals with the cooperation of community would increase knowledge for enhancing positive attitude to adopt proper practices in achieving rabies-free status in 2030.
Key words: KAP, Guwahati, post-bite ARV, rabies","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5d80fd86-d93d-43fe-8f59-defe983f2078","Title":"Dr.","FirstName":"Shivani","LastName":"Pradhan","Position":"Veterinary Officer","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pradhan S"},{"PresentationId":"5d80fd86-d93d-43fe-8f59-defe983f2078","Title":"Dr.","FirstName":"Jyoti","LastName":"Dutta","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Dutta J"},{"PresentationId":"5d80fd86-d93d-43fe-8f59-defe983f2078","Title":"Dr.","FirstName":"Arup","LastName":"Sharma","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Sharma A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5d80fd86-d93d-43fe-8f59-defe983f2078","Number":1,"Affiliation":"Animal Husbandry And Veterinary Services, Government Of Sikkim","City":"Gangtok","State":"Sikkim","Country":"India","AffiliationDisplay":"Animal Husbandry And Veterinary Services, Government Of Sikkim, Gangtok Sikkim, India"}],"AuthorsHtml":"Pradhan S1, Dutta J, Sharma A","AffiliationsHtml":"
1Animal Husbandry And Veterinary Services, Government Of Sikkim, Gangtok Sikkim, India
"},{"Title":"KAP of Veterinary and Medical Practitioners on Dog-mediated Rabies","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"fd80926d-8602-4963-b7bb-ba3c85f37270","Html":null,"PlainText":"A KAP study was undertaken on dog-mediated rabies among veterinary and medical practitioners of government hospitals and private clinics, in and around Guwahati, Assam, India.
A non-interventional descriptive cross-sectional survey was conducted during February-June 2018 using a pre-validated pre-tested questionnaire via face-to-face and telephonic interview for a total of 75 medical and 55 veterinary practitioners.
Of these, 7 medical and 4 veterinary practitioners had undergone special training for management of bite wounds. Study revealed that all bite cases presented to the veterinary clinics were due to dogs, while it was 93.3% in medical hospitals. While 98.2% veterinary and 94.7% medical practitioners agreed that rabies spread through bite of an animal, all veterinarians agreed that rabies also spread through licks and scratches, but 16% medical practitioners disagreed. Regarding fatality after the development of clinical rabies, 87.3% veterinary and 56.0% medical practitioners agreed. While comparing the level of knowledge regarding prevention of rabies, the two groups were found to be at par with 89.1% veterinary and 86.7% medical practitioners. Regarding delivery of PEP as per WHO guidelines, 50.9% veterinarians delivered adequately, while 97.3% of the medical practitioners did not, and 2.7% gave no response to the query, implying an urgent intervention to meet the knowledge gaps in both the groups. Regarding availability of ARV and RIG in the veterinary dispensaries, 69.1% responded in the negative, while, 30.9% had provision for ARV only and 72% medical respondents had provision of ARV and 4% had both ARV and RIG. Regarding ARV PEP schedule, 92.7% veterinary and 80% medical practitioners had knowledge. The study on KAP regarding dog-mediated rabies revealed that average work experience(Mean±SE) of medical practitioners(15.77±1.35) was relatively lower than that of the veterinarians(21.53±1.57), p=0.01.
Lack of updated knowledge, vaccines and immunoglobulin were identified to be the major gaps.
Key words: KAP, PEP, ARV","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fd80926d-8602-4963-b7bb-ba3c85f37270","Title":"Dr.","FirstName":"Shivani","LastName":"Pradhan","Position":"Veterinary Officer","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Pradhan S"},{"PresentationId":"fd80926d-8602-4963-b7bb-ba3c85f37270","Title":"Dr.","FirstName":"Jyoti","LastName":"Dutta","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Dutta J"},{"PresentationId":"fd80926d-8602-4963-b7bb-ba3c85f37270","Title":"Dr.","FirstName":"Arup","LastName":"Sharma","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Sharma A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fd80926d-8602-4963-b7bb-ba3c85f37270","Number":1,"Affiliation":"Animal Husbandry And Veterinary Services, Government Of Sikkim","City":"Gangtok","State":"Sikkim","Country":"India","AffiliationDisplay":"Animal Husbandry And Veterinary Services, Government Of Sikkim, Gangtok Sikkim, India"}],"AuthorsHtml":"Pradhan S1, Dutta J, Sharma A","AffiliationsHtml":"
1Animal Husbandry And Veterinary Services, Government Of Sikkim, Gangtok Sikkim, India
"}],"DisplayName":"Shivani Pradhan","TimeDisplay":null},{"ContactId":"e1d3c030-7793-4c9c-b202-616e45932b5e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Oonagh","LastName":"Pretorius","Position":"PhD Student","Organization":"University of California","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/80a81c02c3244dbc93984cae49b1c2a8","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The quantification of cattle movement in the Bushbuckridge Local Municipality, Mpumalanga, and implications for trade and disease control","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d4f50933-0de3-4f4d-b6ce-edfed7401e36","Html":null,"PlainText":"In the Bushbuckridge Local Municipality (BLM), Mpumalanga, South Africa, the size and economic importance of the local cattle trade has been considered negligible by policy-makers, resulting in little support for development. Due to movement restrictions associated with foot-and-mouth disease (FMD) control, opportunities for cattle farmers to access formal markets remain limited. Cattle movements and their implications for trade, market access, disease control and local economic development (LED) have remained unanalysed variables.
Objectives:
Objectives of the study were to describe the movement activity of cattle; estimate the level of the informal and formal cattle trade; and to determine the impact of an FMD outbreak-induced movement standstill on the local cattle industry.
Materials and methods:
Movement permits and monthly cattle registers were used to analyse demographic, movement and trade activity in the area over a four-year period (May 2015 - April 2019).
Results:
The population fluctuated around 77 166 head-of-cattle, distributed among 9739 emerging rural livestock farmers. The proportion of animals/products moved ranged between 3.1 and 7.2 percent (0.04 ± 0.02). Movements were found to be highly seasonal (p < 0.001) with the ‘cool dry’ season (April-July) being the most active. The vast majority of trade was informal and did not leave Bushbuckridge. Farmers moved animals and products much further to access formal markets (p < 0.001).
The FMD outbreak of 2017 did not prove detrimental to the local cattle industry in the medium term. However, distinct changes to overall herd dynamics were noted, with small-scale farmers most severely affected.
Conclusion:
Key constraints to marketability of animals/products originating in the BLM were identified as the absence of a competitive market system and associated infrastructure, such as FMD designated abattoirs; disease control regulations; and seasonality of offtakes. Growing established local markets is likely the best way to assist in LED and poverty reduction.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d4f50933-0de3-4f4d-b6ce-edfed7401e36","Title":"Dr.","FirstName":"Oonagh","LastName":"Pretorius","Position":"PhD Student","Affiliations":"2","IsPresenting":true,"SortOrder":1,"DisplayName":"Pretorius O"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d4f50933-0de3-4f4d-b6ce-edfed7401e36","Number":1,"Affiliation":"Department of Veterinary Tropical Diseases, University Of Pretoria","City":"Pretoria","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Veterinary Tropical Diseases, University Of Pretoria, Pretoria Gauteng, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d4f50933-0de3-4f4d-b6ce-edfed7401e36","Number":2,"Affiliation":"Graduate Group in Epidemiology, UC Davis","City":"Davis","State":"California","Country":"USA","AffiliationDisplay":"Graduate Group in Epidemiology, UC Davis, Davis California, USA"}],"AuthorsHtml":"Pretorius O2","AffiliationsHtml":"
1Department of Veterinary Tropical Diseases, University Of Pretoria, Pretoria Gauteng, South Africa
2Graduate Group in Epidemiology, UC Davis, Davis California, USA
"}],"DisplayName":"Oonagh Pretorius","TimeDisplay":null},{"ContactId":"55829df2-8ab6-4fb2-950d-244e90da350e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Derek","LastName":"Price","Position":"","Organization":"Fisheries And Oceans Canada","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Assessing the effects of introducing new regulation over sea lice management and control in Atlantic Salmon farms in British Columbia, Canada","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"230e48f5-c7fd-47a9-8b8c-6569f407af89","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"14bff622-5b73-48cb-b837-2eeb1f78b15a","Html":null,"PlainText":"Farmed Atlantic salmon are frequently infected with sea lice, which may increase the exposure of wild out-migrating salmon to this parasite. In 2020, Fisheries and Oceans Canada introduced several changes to marine finfish licences to minimise this exposure.
Our objectives were to describe current and past sea lice management and control practices and assess the effects of the 2020 conditions of licence changes.
Industry-reported mitigation events and sea lice counts were used to determine sea lice abundance from 2 weeks before an intervention to 8 weeks after. Exploratory data analysis was used to describe changes in sea lice abundance over this 11-week period while a Cox proportional hazards model was used to compare how long it took to reduce sea lice abundance below regulatory thresholds.
Our analysis suggests that the abundance of sea lice was reduced after an intervention. However, the rate and duration of this reduction depended on the type of mitigation used. Additionally, we determined that the time needed to reduce sea lice under threshold was associated with the abundance at the start of in-feed medication. Compared to previous years, interventions after the introduction of new regulation favoured the use of mechanical and bath treatments and were initiated at lower abundance. Currently, almost 90% of interventions reduce lice below threshold in the first month, while previously only 50% of mitigation events achieved this outcome.
In conclusion, as farmers have incorporated new mitigation alternatives in response to challenges such as resistance to chemotherapeutants and new regulation, their ability to manage and control sea lice infestations has improved. Although this improvement cannot be attributed to regulation alone, our findings suggest availability of multiple therapeutic tools and active management to mandatory thresholds have played an important role in the farmers’ ability to control sea lice.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"14bff622-5b73-48cb-b837-2eeb1f78b15a","Title":"Dr.","FirstName":"Derek","LastName":"Price","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Price D"},{"PresentationId":"14bff622-5b73-48cb-b837-2eeb1f78b15a","Title":"Dr. ","FirstName":"Laura ","LastName":"Sitter","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Sitter L"},{"PresentationId":"14bff622-5b73-48cb-b837-2eeb1f78b15a","Title":"Dr.","FirstName":"Alexandria","LastName":"Oswell","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Oswell A"},{"PresentationId":"14bff622-5b73-48cb-b837-2eeb1f78b15a","Title":null,"FirstName":"Howie","LastName":"Manchester","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Manchester H"},{"PresentationId":"14bff622-5b73-48cb-b837-2eeb1f78b15a","Title":null,"FirstName":"Kerra","LastName":"Shaw","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Shaw K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"14bff622-5b73-48cb-b837-2eeb1f78b15a","Number":1,"Affiliation":"Aquaculture Management Division, Fisheries And Oceans Canada","City":"Courtenay","State":"BC","Country":"Canada","AffiliationDisplay":"Aquaculture Management Division, Fisheries And Oceans Canada, Courtenay BC, Canada"}],"AuthorsHtml":"Price D1, Sitter L1, Oswell A1, Manchester H1, Shaw K1","AffiliationsHtml":"
1Aquaculture Management Division, Fisheries And Oceans Canada, Courtenay BC, Canada
"}],"DisplayName":"Derek Price","TimeDisplay":null},{"ContactId":"7ad65b34-3851-4686-9221-09534e04af62","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Naomi","LastName":"Prosser","Position":"Research Fellow","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Psychosocial factors associated with bovine viral diarrhoea control by UK farmers","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"791f6711-f679-4a3f-a672-0c7df75e4923","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Html":null,"PlainText":"Disease control in livestock is often farmer-led, with farmers making decisions for their livestock. Psychosocial factors important in uptake of human health protection behaviours have often not been investigated in livestock disease. This study investigated psychosocial factors associated with bovine viral diarrhoea (BVD) control by farmers.

Altruism, psychological proximity, trust and the COM-B behaviour change framework were investigated using validated measurement scales in a survey completed by 475 UK cattle farmers. Latent class analysis divided farmers by BVD controls used, and associations between these classes and psychosocial and COM-B factors were investigated using multinomial logistic regression.

Farmers divided into five BVD control classes, with doing nothing the baseline class in the regression model. Farmers with higher psychological proximity to their vet and less trust in other farmers were more likely to use many methods of BVD control (vaccination, separation from other cattle and test/isolate new cattle purchased only from BVD-free herds). Farmers with less trust in other farmers were also more likely to have a closed herd separated from neighbouring cattle, while higher trust in farmers was associated with testing/isolating new cattle which were purchased from BVD-free herds. A higher understanding of how and why to control infectious disease and having more time and money to do so were associated with having a closed herd separated from neighbouring cattle. Farmers who were more motivated to control disease (both by automatic habits and emotions and reflective plans and goals) were more likely to vaccinate, either alone or with other methods.

Diverse and novel psychosocial factors were found to be important in the control of BVD by farmers. These have implications for effective disease control and encouraging farmers to move into the most proactive BVD control classes, such as through promoting a close vet-farmer relationship.

Bovine viral diarrhoea, Farmer behaviour, Psychosocial factors","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Title":"Dr.","FirstName":"Naomi","LastName":"Prosser","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Prosser N"},{"PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Title":"Professor","FirstName":"Martin","LastName":"Green","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Green M"},{"PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Title":"Professor","FirstName":"Eamonn","LastName":"Ferguson","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Ferguson E"},{"PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Title":"Prof.","FirstName":"Michael","LastName":"Tildesley","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Tildesley M"},{"PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Title":"Dr. ","FirstName":"Edward","LastName":"Hill","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Hill E"},{"PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Title":"Prof. ","FirstName":"Matt","LastName":"Keeling","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Keeling M"},{"PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Title":"Prof","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology & Precision Livestock Informatics","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Kaler J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Number":1,"Affiliation":"School of Veterinary Medicine and Science, University Of Nottingham","City":"Leicestershire","State":"England","Country":"United Kingdom","AffiliationDisplay":"School of Veterinary Medicine and Science, University Of Nottingham, Leicestershire England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Number":2,"Affiliation":"School of Psychology, University of Nottingham","City":"Nottingham","State":"England","Country":"United Kingdom","AffiliationDisplay":"School of Psychology, University of Nottingham, Nottingham England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bc5a983b-3f5b-454f-8e50-89096aed326d","Number":3,"Affiliation":"Zeeman Institute (SBIDER) - School of Life Sciences and Mathematics Institute, University of Warwick","City":"Coventry","State":"England","Country":"United Kingdom","AffiliationDisplay":"Zeeman Institute (SBIDER) - School of Life Sciences and Mathematics Institute, University of Warwick, Coventry England, United Kingdom"}],"AuthorsHtml":"Prosser N1, Green M1, Ferguson E2, Tildesley M3, Hill E3, Keeling M3, Kaler J1","AffiliationsHtml":"
1School of Veterinary Medicine and Science, University Of Nottingham, Leicestershire England, United Kingdom
2School of Psychology, University of Nottingham, Nottingham England, United Kingdom
3Zeeman Institute (SBIDER) - School of Life Sciences and Mathematics Institute, University of Warwick, Coventry England, United Kingdom
"}],"DisplayName":"Naomi Prosser","TimeDisplay":null},{"ContactId":"797a2147-7a8e-4b89-b59e-0de5dd3ff4e7","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mathieu","LastName":"Pruvot","Position":"Assistant Professor","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"WildHealthNet: A One Health approach to sustainable wildlife health surveillance ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"bb86a92e-d2a5-40ee-a236-98aaa56c7ae5","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.D - One Health","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Html":null,"PlainText":"Introduction: Wildlife and their interfaces with people and livestock are essential surveillance targets to monitor the effects of environmental changes on biodiversity and the emergence of new pathogens affecting wildlife, livestock, and human health. However, unbalanced investments in One Health have neglected wildlife health surveillance at national and global scales, particularly in lower and middle income countries (LMICs) where previous efforts have been limited in scope and duration.

Methodology: Building on decades of wildlife health work, and close relationships with environmental sector and One Health partners in over 60 countries, the Wildlife Conservation Society (WCS) has been developing and implementing WildHealthNet, a new locally-scaled multi-pronged One Health approach to establish wildlife health surveillance in LMICs. WildHealthNet utilizes existing capacity in the environmental, animal, and public health sectors, and focuses on iterative field implementation and policy development (WildHealthBuild), capacity building (WildHealthSkills), data collection and management systems (WildHealthTech), and supports management actions (WildHealthRespond).

Results: WildHealthNet has been piloted in Cambodia, Lao PDR, and Viet Nam to support the development of national wildlife health surveillance systems. Networks included protected area rangers, wildlife rescue centers, livestock and human health sector staff and laboratories, and community members. Surveillance activities detected outbreaks of H5N1 highly pathogenic avian influenza in wild birds, African swine fever in wild boar (Sus scrofa), Lumpy skin disease in banteng (Bos javanicus), and other priority endemic zoonotic pathogens. In Cambodia and Lao PDR, national plans for wildlife disease surveillance are being signed by governments.

Conclusion: Cross-sectoral and trans-disciplinary approaches are needed to implement effective and sustainable wildlife health surveillance systems at global scale. WildHealthNet responds to the global needs for wildlife health surveillance and supports the OIE Wildlife Health Framework objectives, but will require further investments and a consortium approach, where key global stakeholders coordinate and align into a coherent workflow.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Title":"Dr.","FirstName":"Mathieu","LastName":"Pruvot","Position":"Assistant Professor","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Pruvot M"},{"PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Title":"Dr.","FirstName":"Sarah","LastName":"Olson","Position":"Director of Health Research","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Olson S"},{"PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Title":"Dr.","FirstName":"Sothyra","LastName":"Tum","Position":"Director","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Tum S"},{"PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Title":"Dr","FirstName":"Watthana","LastName":"Theppayna","Position":"Director","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Theppayna W"},{"PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Title":"Dr","FirstName":"Phan Thanh","LastName":"Long","Position":"Epidemiology Division","Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Long P"},{"PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Title":"Dr","FirstName":"Amanda","LastName":"Fine","Position":"Director of One Health","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Fine A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Number":1,"Affiliation":"Wildlife Conservation Society - Health Program","City":"Bronx","State":"New York","Country":"USA","AffiliationDisplay":"Wildlife Conservation Society - Health Program, Bronx New York, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Number":2,"Affiliation":"Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"Faculty of Veterinary Medicine, University of Calgary, Calgary Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Number":3,"Affiliation":"National Animal Health and Production Research Institute","City":"Phnom Penh","State":null,"Country":"Cambodia","AffiliationDisplay":"National Animal Health and Production Research Institute, Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Number":4,"Affiliation":"National Animal Health Laboratory, Department of Livestock and Fisheries","City":"Vientiane","State":null,"Country":"Lao PDR","AffiliationDisplay":"National Animal Health Laboratory, Department of Livestock and Fisheries, Vientiane, Lao PDR"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94fe4aeb-5623-471d-8849-b75affb129ce","Number":5,"Affiliation":"Department of Animal Health, Ministry of Agriculture and Rural Development","City":"Hanoi","State":null,"Country":"Viet Nam","AffiliationDisplay":"Department of Animal Health, Ministry of Agriculture and Rural Development, Hanoi, Viet Nam"}],"AuthorsHtml":"Pruvot M1,2, Olson S1, Tum S3, Theppayna W4, Long P5, Fine A1","AffiliationsHtml":"
1Wildlife Conservation Society - Health Program, Bronx New York, USA
2Faculty of Veterinary Medicine, University of Calgary, Calgary Alberta, Canada
3National Animal Health and Production Research Institute, Phnom Penh, Cambodia
4National Animal Health Laboratory, Department of Livestock and Fisheries, Vientiane, Lao PDR
5Department of Animal Health, Ministry of Agriculture and Rural Development, Hanoi, Viet Nam
"}],"DisplayName":"Mathieu Pruvot","TimeDisplay":null},{"ContactId":"c54f893d-868e-4593-a6a1-4ec662fef5dd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gavrila Amadea","LastName":"Puspitarani","Position":"PhD student","Organization":"Veterinary Medicine University Vienna","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7424053cc0fb4630b735d772f396da63","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A metapopulation model for preventing the reintroduction of bovine viral diarrhea virus to naive herds: Scotland case study","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c5e989c6-656a-4506-9a51-ef64ec4cc626","Html":null,"PlainText":"Objective: Bovine viral diarrhea (BVD) virus is one of the most problematic infectious pathogens for cattle. Since 2013, a mandatory BVD eradication program has successfully reduced the number of infected cattle living on Scottish farms; however, England remains at high prevalence and presents a risk to Scotland through animal movement.

Methods: We analyze cattle movements in the UK from 2008 to 2017 and recorded the incidence of BVD in Scotland from 2017 to 2020. To simulate BVD reintroduction to Scotland we developed an epidemiological model that combines transmission between cattle and animal movements between farms. Four control strategies were implemented in the model: no intervention, import restriction, targeted vaccination, and a combined strategy.

Result: During the course of the eradication scheme movements into Scotland became increasingly distributed in regions close to the England-Scotland border. The prevalence of BVD in this region was less affected by the eradication scheme. Our modelling showed that the change in prevalence is expected given the change in the patterns of movement and if vaccination is targeted to the border areas decreases in prevalence will be seen throughout the whole of Scotland.

Conclusion: Scottish farms are susceptible to BVD virus reintroduction through animal imports from non-BVD-free nations with farms in border areas being the most vulnerable. Protecting the border region provides direct and indirect protection to the rest of Scottish farms by blocking sustained chains of transmission.

Key words: metapopulation model, bovine viral diarrhea, prevention strategies, animal movements, Scotland, endemic livestock diseases. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c5e989c6-656a-4506-9a51-ef64ec4cc626","Title":"Miss","FirstName":"Gavrila Amadea","LastName":"Puspitarani","Position":"PhD student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Puspitarani G"},{"PresentationId":"c5e989c6-656a-4506-9a51-ef64ec4cc626","Title":"Dr.","FirstName":"Ewan","LastName":"Colman","Position":"","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Colman E"},{"PresentationId":"c5e989c6-656a-4506-9a51-ef64ec4cc626","Title":"Mr.","FirstName":"Rowland","LastName":"Kao","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Kao R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c5e989c6-656a-4506-9a51-ef64ec4cc626","Number":1,"Affiliation":"Royal (Dick) School of Veterinary Studies","City":"Edinburgh","State":"Midlothian","Country":"United Kingdom","AffiliationDisplay":"Royal (Dick) School of Veterinary Studies, Edinburgh Midlothian, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c5e989c6-656a-4506-9a51-ef64ec4cc626","Number":2,"Affiliation":"Roslin Institute","City":"Edinburgh","State":"Midlothian","Country":"United Kingdom","AffiliationDisplay":"Roslin Institute, Edinburgh Midlothian, United Kingdom"}],"AuthorsHtml":"Puspitarani G1, Colman E2, Kao R2","AffiliationsHtml":"
1Royal (Dick) School of Veterinary Studies, Edinburgh Midlothian, United Kingdom
2Roslin Institute, Edinburgh Midlothian, United Kingdom
"}],"DisplayName":"Gavrila Amadea Puspitarani","TimeDisplay":null},{"ContactId":"1b7a4be5-872c-454a-a533-09c2a582c012","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Daniel Nenene","LastName":"Qekwana","Position":"Head of Department","Organization":"University of Pretoria","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Antimicrobial resistance profile of Enterobacter spp. and Proteus spp. from canine clinical isolates at a veterinary teaching hospital in South Africa","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8843ea3e-07e1-4949-9146-59cb5f6a796f","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"aab80e14-1a76-4b6b-8e22-5af437962393","Html":null,"PlainText":"Background: Proteus and Enterobacter spp. have been associated with veterinary clinical conditions such as urinary tract and extraintestinal infections. While there is ample evidence of increasing prevalence of antimicrobial resistance among isolates of Proteus and Enterobacter spp. in human medicine, no published studies have investigated the antimicrobial resistance profiles of Proteus and Enterobacter spp. from clinical isolates of dogs in South Africa.

Methods: Records of confirmed Enterobacter spp. (n=22) and Proteus spp. (n=79) collected between January 2007 to December 2012 by the bacteriology diagnostic laboratory at a veterinary teaching hospital were reviewed and included in this study. Proportions were calculated for all the categorical variables.

Results: Among the Enterobacter isolates, all (100%, n=22) exhibited antimicrobial resistance (AMR) to at least one antimicrobial agent, 91% (20/22) exhibited multidrug resistance (MDR), 50% (11/22) extensive drug resistance (XDR), and 22.73% (5/22) Pan-drug resistance (PDR). A high number of the Enterobacter isolates were resistant to β-lactam (100%), lincosamides (100%), and macrolides (90.48%). With respect to the Proteus spp., all the isolates (100%, 79/79) were AMR, 97.5% (77/79) exhibited MDR, 50.63% (40/79) XDR and 21.52% (17/79) PDR. A high proportion of the Enterobacter isolates was resistant to lincosamides (100%), macrolides (97.44%), and tetracyclines (94.87%).

Conclusion: High prevalence of AMR was observed in this study, which highlights the high burden of antimicrobial drug resistance in South Africa. There is a need for studies to investigate drivers of resistance among pathogens of veterinary origin including Enterobacter and Proteus species
Key words: Veterinary clinical isolates, burden of antimicrobial drug resistance, developing countries, extensive drug resistance, pan-drug resistance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"aab80e14-1a76-4b6b-8e22-5af437962393","Title":"Dr.","FirstName":"Daniel Nenene","LastName":"Qekwana","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Qekwana D"},{"PresentationId":"aab80e14-1a76-4b6b-8e22-5af437962393","Title":null,"FirstName":"Stephanie","LastName":"Sellge","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Sellge S"},{"PresentationId":"aab80e14-1a76-4b6b-8e22-5af437962393","Title":null,"FirstName":"Rachael","LastName":"Wolters","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Wolters R"},{"PresentationId":"aab80e14-1a76-4b6b-8e22-5af437962393","Title":"Prof","FirstName":"Agricola","LastName":"Odoi","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Odoi A"},{"PresentationId":"aab80e14-1a76-4b6b-8e22-5af437962393","Title":"Prof","FirstName":"James Wabwire","LastName":"Oguttu","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Oguttu J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aab80e14-1a76-4b6b-8e22-5af437962393","Number":1,"Affiliation":"Department of Paraclinical Sciences, Section Veterinary Public Health, Faculty of Veterinary Science, University Of Pretoria","City":"Pretoria","State":"Gauteng","Country":"South Africa","AffiliationDisplay":"Department of Paraclinical Sciences, Section Veterinary Public Health, Faculty of Veterinary Science, University Of Pretoria, Pretoria Gauteng, South Africa"}],"AuthorsHtml":"Qekwana D1, Sellge S, Wolters R, Odoi A, Oguttu J","AffiliationsHtml":"
1Department of Paraclinical Sciences, Section Veterinary Public Health, Faculty of Veterinary Science, University Of Pretoria, Pretoria Gauteng, South Africa
"}],"DisplayName":"Daniel Nenene Qekwana","TimeDisplay":null},{"ContactId":"758308ad-d4c3-4090-81fb-5d71ec60304e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kevin","LastName":"Queenan","Position":"Research Associate","Organization":"Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"System dynamic modelling to study health, nutrition and environmental outcomes of the broiler meat system in South Africa","Bio":null,"PresentationTypeName":"Special Session - Panel","Session":{"Id":"37900a0f-28bf-4055-9139-9e6300423525","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"3_Special Session Part 2: Systems Approaches to Promote Better Health for Animals, People and Ecosystems","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[],"Authors":[{"PresentationId":"58139887-d5b0-408f-b279-2d20b671a510","Title":"Mr.","FirstName":"Kevin","LastName":"Queenan","Position":"Research Associate","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Queenan K"}],"Affiliations":[],"AuthorsHtml":"Queenan K","AffiliationsHtml":""},{"Title":"What policy insights can be gleaned from a food systems approach to the commercial broiler system in South Africa?","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"81b6468d-38a2-4f06-ba00-ba54f34eef5e","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Html":null,"PlainText":"Food security and local industry growth drives broiler system policies in South Africa, neglecting wider food system impacts.
Objectives: To develop a qualitative system dynamics (SD) model of the South African commercial broiler system and to use it for stakeholder engagement to identify system-wide policy issues.
Methods: A literature review, stakeholder interviews (n=29) and an online questionnaire were used to develop the model. One-to-one Zoom meetings with stakeholders (n=15) followed. A modular presentation format of the model was used, revealing groups of elements in a step-by-step manner. This allowed for model validation and identification of areas for policy consideration. Additionally, cross-cutting policy issues and those transferable to the wider livestock-derived food system were identified.
Results: Systemic inequality supports commercial production and formal retail, and presents barriers for smaller scale actors. Provision of low-cost products improves affordability, but nutritional value is a trade-off. Brining broiler meat improves affordability but adds to dietary salt, potentially contributing to hypertension and the non-communicable disease burden. Large-scale commercial broiler producers favor fast-food retail contracts and vice versa. A burgeoning fast-food industry uses broiler meat (second only to beef) for processing, and is contributing to dietary fat and obesity prevalence. Commercial production is dependent on cereals for feed, but only 13% of agricultural land is arable, and already affected by climate change. Whilst broiler meat may be less environmentally harmful than ruminant products, the impacts of its consumption doubling in the past two decades deserves closer scrutiny. The processed meat associated listeriosis outbreak in 2017-18 unveiled gaps in food safety surveillance that require urgent policy change for greater coherence and effectiveness.
Conclusion: A food systems approach provides policymakers with insights for the development of integrated and durable policies, accounting for potential unintended consequences within the boundaries of health, nutrition, food safety, and environmental sustainability.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Title":"Mr.","FirstName":"Kevin","LastName":"Queenan","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Queenan K"},{"PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Title":"Dr","FirstName":"Soledad","LastName":"Cuevas","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Cuevas S"},{"PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Title":"Dr","FirstName":"Tafadzwanashe","LastName":"Mabhaudhi","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Mabhaudhi T"},{"PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Title":"Prof","FirstName":"Michael","LastName":"Chimonyo","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Chimonyo M"},{"PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Title":"Prof","FirstName":"Bhavani","LastName":"Shankar","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Shankar B"},{"PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Title":"Prof","FirstName":"Rob","LastName":"Slotow","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":6,"DisplayName":"Slotow R"},{"PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Title":"Prof","FirstName":"Barbara","LastName":"Häsler","Position":null,"Affiliations":"1,7","IsPresenting":false,"SortOrder":7,"DisplayName":"Häsler B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Number":1,"Affiliation":"Veterinary Epidemiology, Economics and Public Health, Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC)","City":"Hatfield","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Veterinary Epidemiology, Economics and Public Health, Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Number":2,"Affiliation":"London School of Hygiene and Tropical Medicine","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"London School of Hygiene and Tropical Medicine, London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Number":3,"Affiliation":"Centre for Transformative Agricultural and Food Systems, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal","City":"Pietermaritzburg","State":"KwaZulu-Natal","Country":"South Africa","AffiliationDisplay":"Centre for Transformative Agricultural and Food Systems, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg KwaZulu-Natal, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Number":4,"Affiliation":"School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal","City":"Pietermaritzburg","State":"KwaZulu-Natal","Country":"South Africa","AffiliationDisplay":"School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg KwaZulu-Natal, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Number":5,"Affiliation":"Institute of Sustainable Food, Department of Geography, University of Sheffield","City":"Sheffield","State":"South Yorkshire","Country":"United Kingdom","AffiliationDisplay":"Institute of Sustainable Food, Department of Geography, University of Sheffield, Sheffield South Yorkshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Number":6,"Affiliation":"School of Life Sciences, University of KwaZulu-Natal","City":"Pietermaritzburg","State":"KwaZulu-Natal","Country":"South Africa","AffiliationDisplay":"School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg KwaZulu-Natal, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e633cdf1-9ba5-4704-be73-73386809b9f8","Number":7,"Affiliation":"Leverhulme Centre for Integrative Research on Agriculture and Health, Royal Veterinary College","City":"Hatfield","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Leverhulme Centre for Integrative Research on Agriculture and Health, Royal Veterinary College, Hatfield Hertfordshire, United Kingdom"}],"AuthorsHtml":"Queenan K1, Cuevas S2, Mabhaudhi T3, Chimonyo M4, Shankar B5, Slotow R6, Häsler B1,7","AffiliationsHtml":"
1Veterinary Epidemiology, Economics and Public Health, Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield Hertfordshire, United Kingdom
2London School of Hygiene and Tropical Medicine, London, United Kingdom
3Centre for Transformative Agricultural and Food Systems, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg KwaZulu-Natal, South Africa
4School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg KwaZulu-Natal, South Africa
5Institute of Sustainable Food, Department of Geography, University of Sheffield, Sheffield South Yorkshire, United Kingdom
6School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg KwaZulu-Natal, South Africa
7Leverhulme Centre for Integrative Research on Agriculture and Health, Royal Veterinary College, Hatfield Hertfordshire, United Kingdom
"}],"DisplayName":"Kevin Queenan","TimeDisplay":null},{"ContactId":"bfaf318d-55a7-4a0c-a843-c7bc20c06d7e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mohammad Maksudur","LastName":"Rahman","Position":"Phd Student","Organization":"Washington State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Causal Analysis of Trade Cost from Pests and Pathogens: A Global Study of Foot and Mouth Disease Impacts on Meat Exports \r\n","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"09ac01bf-e80b-43ce-a6b3-cbb23a43d108","Html":null,"PlainText":"The highly infectious nature of many animal diseases triggers policy interventions restricting transboundary trade with significant impacts on exports. The impacts are possibly asymmetric; newly infected countries immediately experience a sharp decline in trade while recovering from the disease does not raise the trade to the pre-outbreak level. The impacts are also heterogeneous; FMD-endemic and FMD-free countries face different challenges during an outbreak. We identify and quantify the global impacts of the Foot and Mouth Disease (FMD) outbreaks on meat exports using panel data from 178 OIE member countries during the period 1996 to 2016.

We adopt a design-based causal inference approach that considers animal disease outbreaks over time as non-staggered binary treatments with the potential for switching in (new outbreak) and out of treatment (recovery) within the sample period. The outcome evolution of switchers and non-switchers identifies the treatment effects. Using a recently proposed dynamic difference-in-differences (DiD) estimator robust to group and time heterogeneity, we estimate the treatment effects that decompose into ‘joiner’ (switch in) and ‘leaver’ (switch out) effects.

We find that the negative effects of an outbreak on meat exports last for multiple periods after an outbreak. The outbreak decreases meat export by 31,000 to 75,000 tons per year (23% - 56% of mean annual meat export) in the 5 years following an outbreak, which is brought about by a decline in the joiners’ meat exports while the leavers do not recover the export losses even after 5 years. The average effect is estimated at about 54,000 tons per outbreak, resulting in an export revenue loss of $162 million.

The asymmetric trade costs imply a significant disease burden on the endemic regions. The evidence also confirms long-term trade costs of animal diseases that last at least 5 years after the disease incidence.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"09ac01bf-e80b-43ce-a6b3-cbb23a43d108","Title":"Mr.","FirstName":"Mohammad Maksudur","LastName":"Rahman","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Rahman M"},{"PresentationId":"09ac01bf-e80b-43ce-a6b3-cbb23a43d108","Title":"Prof.","FirstName":"Thomas","LastName":"Marsh","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Marsh T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"09ac01bf-e80b-43ce-a6b3-cbb23a43d108","Number":1,"Affiliation":"Washington State University","City":"Pullman","State":"WA","Country":"USA","AffiliationDisplay":"Washington State University, Pullman WA, USA"}],"AuthorsHtml":"Rahman M1, Marsh T1","AffiliationsHtml":"
1Washington State University, Pullman WA, USA
"}],"DisplayName":"Mohammad Maksudur Rahman","TimeDisplay":null},{"ContactId":"560c81a0-0ba1-4384-aa65-e26a2a65b46a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Päivi","LastName":"Rajala-Schultz","Position":"Professor","Organization":"University of Helsinki","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Antimicrobial susceptibility of mastitis-causing staphylococci","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1f54b3ee-5278-4a9f-b1ea-0146b3b33666","Html":null,"PlainText":"Microbiologic diagnosis and knowledge on antimicrobial resistance (AMR) of pathogens form a basis for effective treatment of intramammary infections (IMI). PCR methodology prevails in mastitis diagnostics in Finland and staphylococci are the most prevalent causes of IMI. The commercially-used PCR assay tests for blaZ gene in staphylococci. Genotypic and phenotypic beta-lactam resistance can differ. Our objectives were to evaluate antimicrobial susceptibility of mastitis-causing staphylococci, and to compare their phenotypic and genotypic beta-lactam resistance.

Milk samples positive for Staphylococcus aureus or non-aureus staphylococci (NAS) in the PCR assay were cultured, and the isolates identified to species level using MALDI-ToF MS. In addition to detection of blaZ, mecA or mecC genes, AMR of the isolates to cefoxitin, ceftiofur, enrofloxacin, gentamycin, oxacillin, penicillin and tetracycline was evaluated using the disc diffusion method. Agreement between phenotypic and genotypic beta-lactam resistance was assessed with kappa-coefficient.

Antimicrobial susceptibility of 504 isolates (260 S. aureus, 244 NAS) from different herds across the country was evaluated. The most common NAS species were S. simulans, S. epidermidis, S. chromogenes and S. haemolyticus (74% of all NAS). Of all the staphylococci, 26.6% carried blaZ gene, 18.8% were phenotypically resistant to penicillin and 21.3% to any beta-lactam drugs. Considerable differences existed between species, ranging from 70.1% of S. epidermidis, 9.3% of S. aureus, and 5.3% of S. simulans phenotypically resistant to penicillin. Resistance to other antimicrobials was rare. The mecA gene was detected in 8 NAS and mecC in one S. aureus isolate. Agreement beyond chance between phenotypic and genotypic beta-lactam resistance was moderate for S. aureus (kappa = 0.56) and substantial for NAS (kappa=0.67).

Antimicrobial resistance, overall, was low in mastitis-causing staphylococci, but variability existed between species. Agreement between the different testing methods was moderate to substantial, complicating everyday treatment decisions and warranting further research.
Keywords: mastitis, staphylococci, antimicrobial resistance

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1f54b3ee-5278-4a9f-b1ea-0146b3b33666","Title":"Dr.","FirstName":"Suvi","LastName":"Taponen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Taponen S"},{"PresentationId":"1f54b3ee-5278-4a9f-b1ea-0146b3b33666","Title":"Mrs.","FirstName":"Päivi","LastName":"Rajala-Schultz","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Rajala-Schultz P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1f54b3ee-5278-4a9f-b1ea-0146b3b33666","Number":1,"Affiliation":"Faculty of Veterinary Medicine","City":"Saarentaus","State":"Uusimaa","Country":"Finland","AffiliationDisplay":"Faculty of Veterinary Medicine, Saarentaus Uusimaa, Finland"}],"AuthorsHtml":"Taponen S1, Rajala-Schultz P1","AffiliationsHtml":"
1Faculty of Veterinary Medicine, Saarentaus Uusimaa, Finland
"}],"DisplayName":"Päivi Rajala-Schultz","TimeDisplay":null},{"ContactId":"dd6453f4-3c28-40f5-a6ba-65b429442726","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Galia","LastName":"Ramírez-Toloza","Position":"Assistant Professor","Organization":"Universidad de Chile","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/38157481f8e24a8b988dba6e21619797","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Spatial distribution and cluster detection of dog zoonotic endoparasites in public parks from Gran Santiago, Chile","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c742a26-db6c-4465-98ff-d5984b272607","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Html":null,"PlainText":"Objective: The aim of this study was to characterize the presence and spatial distribution of zoonotic-endoparasites in dog faeces from the main urban parks of Gran Santiago

Material and methods: A total of 468 stool samples were collected from 26 urban parks from Gran Santiago and analyzed by modified Telemann method and Ziehl-Neelsen stain. Choropleth maps were generated to describe parasite spatial distribution. Spatial autocorrelation (SA) was estimated using the Moran’s I index of the Local Indicators of Spatial Association (LISA), and Local clustering of cases assessed by means of the Bernoulli model of the spatial scan statistic, considering a purely spatial cluster analysis for each detected parasite specie, registering cluster composition, location, relative risk, and significance (p < 0.05). Seasonality was assessed by differences between prevalence.

Results: Endoparasites were identified in 145 samples (30.98%). Helminth eggs: T. canis (45/468, 9.62%), T. leonina (15/468, 3.21%), Ancylostomatidae-like eggs (8/468, 1.71%), Taenia spp. (12/468, 2.56%), D. caninum (4/468, 0.85%). Protozoa: cysts of Giardia sp. (57/468 samples, 12.18%) and Cryptosporidium spp. oocysts (29/468, 6.20%). Positive SA was observed for Cestode-like eggs (p = 0.028; Moran’s I = 0.273), Giardia sp. (p = 0.023; Moran’s I = 0.030) and Cryptosporidium spp. (p = 0.003; Moran’s I = 0.373) and negative SA for Dipylidium caninum (p = 0.006; Moran’s I = -0.173). Two statistically significant spatial cluster were detected, one for Giardia sp. (Population = 35; Nº of cases = 11; RR = 2.96; p = 0.049) and one for Cryptosporidium spp. (Population = 24; Nº of cases = 24; RR = 6.6; p = 0.0044). No statistically significant difference (p > 0.05) was observed for seasonality.

Conclusion: There is a wide distribution of resistance parasitic elements with zoonotic potential in urban parks of Gran Santiago hot-spot of human-animal urban contact.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Title":"Dr.","FirstName":"Bárbara ","LastName":"Fredes","Position":"1","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Fredes B"},{"PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Title":"Dr.","FirstName":"Raúl","LastName":"Alegría-Morán","Position":"2","Affiliations":"1,2,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Alegría-Morán R"},{"PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Title":"Dr.","FirstName":"Cristóbal ","LastName":"Briceño","Position":"3","Affiliations":"2,4","IsPresenting":false,"SortOrder":3,"DisplayName":"Briceño C"},{"PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Title":"Dr.","FirstName":"Gonzalo ","LastName":"Cabrera","Position":"4","Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Cabrera G"},{"PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Title":"Dr.","FirstName":"Fernando","LastName":"Fredes","Position":"5","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Fredes F"},{"PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Title":"Dr.","FirstName":"Galia","LastName":"Ramírez-Toloza","Position":"6","Affiliations":"1,2","IsPresenting":true,"SortOrder":6,"DisplayName":"Ramírez-Toloza G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Number":1,"Affiliation":"Laboratory of Parasitology and Parasitic Diseases, Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"La Pintana,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Laboratory of Parasitology and Parasitic Diseases, Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Number":2,"Affiliation":"Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"La Pintana,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Number":3,"Affiliation":"Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas","City":"Santiago,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas, Santiago, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Number":4,"Affiliation":"ConserLab, Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile","City":"La Pintana,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"ConserLab, Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c44d09d-c287-4829-bc14-ddcbd306373c","Number":5,"Affiliation":"Laboratory of Cellular and Molecular Biology, Institute of Biomedical Sciences, Facultad de Medicina, Universidad de C","City":"Independencia,","State":"Región Metropolitana","Country":"Chile","AffiliationDisplay":"Laboratory of Cellular and Molecular Biology, Institute of Biomedical Sciences, Facultad de Medicina, Universidad de C, Independencia, Región Metropolitana, Chile"}],"AuthorsHtml":"Fredes B1, Alegría-Morán R1,2,3, Briceño C2,4, Cabrera G5, Fredes F1, Ramírez-Toloza G1,2","AffiliationsHtml":"
1Laboratory of Parasitology and Parasitic Diseases, Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile
2Central Veterinary Research Laboratory, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile
3Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomas, Santiago, Región Metropolitana, Chile
4ConserLab, Departamento de Medicina Preventiva Animal, Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, La Pintana, Región Metropolitana, Chile
5Laboratory of Cellular and Molecular Biology, Institute of Biomedical Sciences, Facultad de Medicina, Universidad de C, Independencia, Región Metropolitana, Chile
"}],"DisplayName":"Galia Ramírez-Toloza","TimeDisplay":null},{"ContactId":"11dd20e2-6315-46af-b2cf-eabd47c1b193","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Organization":"University of Greenwich","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f3b3946d57244ad8b2d2bd285c1f3cec","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Delia Grace is a veterinarian and epidemiologist who has worked in developing countries for twenty five years in NGOs, donor organisations and most recently research. Her main speciality is food safety in informal markets, but she also researches other One Health issues including emerging diseases and zoonoses. She also has worked on animal diseases, gender and livestock, and animal welfare. She is currently a Professor of Food Safety Systems at the Natural Resources Institute and a joint appointed Senior Scientist at the International Livestock Research Institute in Kenya.

","Presentations":[{"Title":"Forty-five years of One Health-related research at the International Livestock Research Institute","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"44827e2c-0db7-4fa8-933d-196a40a0cf9b","Html":null,"PlainText":"Objective: Livestock are the engine of development, but disease is a major constraint to production and risk to human health. Epidemiological research has revolutionised management of livestock disease, and this poster reviews 45 years research by the International Livestock Research Institute (ILRI), the only international agricultural research institute focused on livestock.

Materials and Methods: Over four years, we engaged more than 70 expert authors, to document 45 years of livestock research at ILRI, resulting in a book, launched in 2021 (Figure 1). Nine of the 18 chapters document epidemiological research into animal disease, showing the importance of epidemiology in livestock development.

Figure One: Impact of ILRI research


Results: Key findings include:
•\tResearch increased understanding of infection dynamics and generated methodologies and approaches that have since been applied in every corner of the world.
•\tOne Health approaches estimated the burden and risk factors for neglected as well as emerging zoonoses, identified their drivers and developed strategies for reducing those risks.
•\tField research on trypanosomiasis determined that rational use of curative and preventive trypanocidal drugs is the most sustainable and scalable control method.
•\tResearch on food safety elevated the importance of informal markets where most of the poor buy and sell food, introduced risk assessment developing countries, conducted dozens of disease burden studies and developed new approaches to managing food safety in informal markets.

Conclusion: The book captures ILRI benefits to research, capacity development and end users. It marshals substantial evidence to show that livestock epidemiological and economic research improved food and nutrition security, prosperity, and natural resource management in lower-income countries.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"44827e2c-0db7-4fa8-933d-196a40a0cf9b","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/b68aaf3c9e764d46a6a192f855f01431","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"44827e2c-0db7-4fa8-933d-196a40a0cf9b","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Randolph D"},{"PresentationId":"44827e2c-0db7-4fa8-933d-196a40a0cf9b","Title":null,"FirstName":"John","LastName":"McIntire","Position":"Independant Consultant","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"McIntire J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"44827e2c-0db7-4fa8-933d-196a40a0cf9b","Number":1,"Affiliation":"Professor Food Safety Systems, Natural Resources Institute","City":"Kent","State":null,"Country":"United Kingdom","AffiliationDisplay":"Professor Food Safety Systems, Natural Resources Institute, Kent, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"44827e2c-0db7-4fa8-933d-196a40a0cf9b","Number":3,"Affiliation":"Independant Consultant","City":null,"State":"CA","Country":"USA","AffiliationDisplay":"Independant Consultant, CA, USA"}],"AuthorsHtml":"Randolph D1,2, McIntire J3","AffiliationsHtml":"
1Professor Food Safety Systems, Natural Resources Institute, Kent, United Kingdom
3Independant Consultant, CA, USA
"},{"Title":"Impact of market-based food safety interventions from in low- and middle-income countries","Bio":"Delia Grace is a veterinarian and epidemiologist who has worked in developing countries for twenty five years in NGOs, donor organisations and most recently research. Her main speciality is food safety in informal markets, but she also researches other One Health issues including emerging diseases and zoonoses. She also has worked on animal diseases, gender and livestock, and animal welfare. She is currently a Professor of Food Safety Systems at the Natural Resources Institute and a joint appointed Senior Scientist at the International Livestock Research Institute in Kenya.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"159ceae0-0007-4d59-844f-a4d29ba5ae8c","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"12_Special Session Part 1: Randomized control trials and the reality of impact evaluations","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"e49c2168-c649-4d51-ac64-fbf2bbf74e0a","Html":null,"PlainText":"Objective: The last decade has seen increasing interest in interventions to improve food safety in informal markets driven by the realisation of the huge health and economic burden attributable to food sold in these markets, along with the many benefits they provide to nutrition and livelihoods. However, market-based interventions lack long term evaluation. To fill this gap, we are evaluating a portfolio of market-based projects in Africa and Asia, involving or led by ILRI, that aimed to improve the safety of highly nutritious but highly risky foods.

Materials and Methods: We developed a framework on factors influencing sustainability and scalability of interventions and applied it to 12 completed or ongoing projects in Kenya (3), Nigeria (2), Ethiopia (2), India, Cambodia, Vietnam, Senegal and Uganda.

Results: Project evaluation showed a range of results. Most had positive short term outcomes but only a minority showed long-term impacts. This was largely explained by the factors we had identified as important for effectiveness, sustainability and scalability. These factors which could be grouped under three domains: enabling governance environment; capacity building for actors (workers and consumers); and, motivation for behaviour change (the three-legged stool).

Conclusions: Understanding the requirements for intervention success can help in planning and implementation of food safety interventions in informal markets.

Key words: intervention, behaviour change, food safety, informal markets, developing countries","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e49c2168-c649-4d51-ac64-fbf2bbf74e0a","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Randolph D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e49c2168-c649-4d51-ac64-fbf2bbf74e0a","Number":1,"Affiliation":"Natural Resources Institute, University of Greenwich","City":"Chatham","State":"Kent","Country":"United Kingdom","AffiliationDisplay":"Natural Resources Institute, University of Greenwich, Chatham Kent, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e49c2168-c649-4d51-ac64-fbf2bbf74e0a","Number":2,"Affiliation":"Animal and Human Health Program, International Livestock Research Institute","City":"Uthiru","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Animal and Human Health Program, International Livestock Research Institute, Uthiru Nairobi, Kenya"}],"AuthorsHtml":"Randolph D1","AffiliationsHtml":"
1Natural Resources Institute, University of Greenwich, Chatham Kent, United Kingdom
2Animal and Human Health Program, International Livestock Research Institute, Uthiru Nairobi, Kenya
"}],"DisplayName":"Delia Grace Randolph","TimeDisplay":null},{"ContactId":"dead107b-0a84-4395-8bf5-0c8796349440","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Philip","LastName":"Rasmussen","Position":null,"Organization":"University of Zurich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Estimating the health loss envelope","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"091750cf-11b4-40a6-b227-2a6db7a013d5","Html":null,"PlainText":"Objectives: The Global Burden of Animal Diseases (GBADs) is an international collaboration aiming, in part, to measure and improve societal outcomes from livestock. The authors explore the theoretical framework of an animal health loss envelope (AHLE) to limit the potential for overestimation and propose a method to generate comorbidity-adjusted economic burden estimates for global livestock systems.

Materials and methods: The authors suggest that the maximum potential livestock productivity in a utopian scenario and the current observed productivity form the upper and lower bounds, respectively, of a livestock system’s AHLE. While this AHLE contains many abstract and potentially difficult to measure components such as the impacts of management and genetics, a significant proportion is attributable to endemic diseases and health conditions. Therefore, the authors propose a model based on Bayes' Theorem to derive conditional probabilities from inter-disease odds ratios and prevalence estimates in the literature. These conditional probabilities are then used to adjust productivity impact estimates from the literature to account for comorbidities.

Results: The model has been demonstrated in an example dairy cattle system with production and disease parameters and input values based on the UK and is currently being programmed in R, a free software environment for statistical modelling. Large-scale systematic reviews and meta-analyses are underway to populate several iterations of the model that will generate comorbidity-adjusted economic burden estimates for endemic diseases and health conditions in global small-scale poultry, high-income dairy, and Ethiopian intensive dairy and mixed-purpose cattle systems.

Conclusion: This approach allows for disease impact estimates to be aggregated without double counting. It can be applied to various livestock systems and can be updated as new prevalence, impact, and disease association data become available. It also provides a framework to identify key knowledge gaps and quantify the significance of prevalence, impact, and disease association input values helping to guide future research and policy.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"091750cf-11b4-40a6-b227-2a6db7a013d5","Title":"Miss","FirstName":"Violeta","LastName":"Muñoz-Gómez","Position":"Phd Student","Affiliations":null,"IsPresenting":false,"SortOrder":1,"DisplayName":"Muñoz-Gómez V"},{"PresentationId":"091750cf-11b4-40a6-b227-2a6db7a013d5","Title":"Mr.","FirstName":"Philip","LastName":"Rasmussen","Position":null,"Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Rasmussen P"},{"PresentationId":"091750cf-11b4-40a6-b227-2a6db7a013d5","Title":null,"FirstName":"Alexandra P. M.","LastName":"Shaw","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Shaw A"},{"PresentationId":"091750cf-11b4-40a6-b227-2a6db7a013d5","Title":null,"FirstName":"Paul R.","LastName":"Torgerson","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Torgerson P"}],"Affiliations":[],"AuthorsHtml":"Muñoz-Gómez V, Rasmussen P, Shaw A, Torgerson P","AffiliationsHtml":""},{"Title":"The economic burden due to endemic diseases among dairy cattle in high-income countries","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"33b57484-c325-407c-aa1f-8fe1e2c2f1aa","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"6d81c834-ae0c-4f57-aa1d-c3185b089128","Html":null,"PlainText":"Objectives: As part of the Global Burden of Animal Diseases (GBADs) programme, this study aimed to (1) estimate economic losses attributable to endemic diseases among dairy cattle in high-income countries and (2) explore how the relative significance of this burden depends on country-specific economic characteristics and the measure of losses used.

Materials and methods: 13 diseases and conditions were modelled, from mastitis to paratuberculosis, in 42 high-income dairy-producing countries. The impacts of these diseases and conditions on key production characteristics (yield, fertility, and mortality) were first adjusted for comorbidities using prevalence estimates, inter-disease association estimates from the literature, and Bayes’ Theorem. The comorbidity-adjusted aggregate impact of the array of endemic diseases was then used to estimate the gaps between the country-specific mean values of these key production characteristics and their potential disease-free values using 50,000 iteration Monte Carlo simulations. Finally, these gaps were valued, attributed to the individual diseases and conditions being modelled, and compared across regions using a range of economic measures.

Results: Preliminary results suggest an annual burden across all regions of US$24 billion, with a 90% confidence interval of US$20 billion to US$28 billion. Lameness accounted for 25% of that burden, followed by mastitis (15%), and neosporosis (12%). Annual losses were greatest in the United States (US$6 billion), but other regions were relatively more burdened depending on the measure used. For example, when measured as a percentage of farm-gate revenue, the greatest burdens were in Qatar and Uruguay, and when measured per animal, the greatest burdens were in Saudi Arabia and Japan.

Conclusion: Endemic diseases and health conditions among dairy cattle in high-income countries result in a significant economic burden, with the relative significance of this burden varying according to the economic characteristics of the impacted country and the measure used.

Keywords: GBADs, economic, burden, disease, dairy
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6d81c834-ae0c-4f57-aa1d-c3185b089128","Title":"Dr.","FirstName":"Philip","LastName":"Rasmussen","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Rasmussen P"},{"PresentationId":"6d81c834-ae0c-4f57-aa1d-c3185b089128","Title":null,"FirstName":"Alexandra P. M.","LastName":"Shaw","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Shaw A"},{"PresentationId":"6d81c834-ae0c-4f57-aa1d-c3185b089128","Title":null,"FirstName":"Violeta","LastName":"Muñoz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Muñoz V"},{"PresentationId":"6d81c834-ae0c-4f57-aa1d-c3185b089128","Title":null,"FirstName":"Paul R.","LastName":"Torgerson","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Torgerson P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d81c834-ae0c-4f57-aa1d-c3185b089128","Number":1,"Affiliation":"University Of Zurich","City":"Zurich","State":null,"Country":"Switzerland","AffiliationDisplay":"University Of Zurich, Zurich, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d81c834-ae0c-4f57-aa1d-c3185b089128","Number":2,"Affiliation":"University of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"University of Liverpool, Liverpool, United Kingdom"}],"AuthorsHtml":"Rasmussen P1, Shaw A2, Muñoz V1, Torgerson P1","AffiliationsHtml":"
1University Of Zurich, Zurich, Switzerland
2University of Liverpool, Liverpool, United Kingdom
"}],"DisplayName":"Philip Rasmussen","TimeDisplay":null},{"ContactId":"f408391c-39fc-47b7-b458-ca7d8fab2b6e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"André","LastName":"Ravel","Position":"Professor","Organization":"Université De Montréal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Demonstrating the impact of industry and governmental controls of Salmonella in chicken using source attribution","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ff19db2d-ae02-42b3-bd44-4a206832d186","Html":null,"PlainText":"Objective: Salmonellosis incidence has been at elevated levels in Canada for the past decade. Industry and government interventions were implemented during this period for broiler chickens that targeted specific serovars and for frozen raw breaded chicken products (FRBCP). This study aims at estimating the impact of these interventions along the chicken food chain on the percentage contribution of chicken meat products to the burden of salmonellosis.
Materials and methods : Source attribution of human salmonellosis was estimated annually based on the Salmonella subtypes detected by the Integrated (human, food, animals and water) Sentinel Site Surveillance Network for Enteric Disease in Canada, FoodNet Canada, and the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS). Annual attribution estimates were compared with the human salmonellosis incidence and with the timing of industry and government interventions along the Canadian poultry production chain (chicken vaccination; cooking of FRBCP).
Results: Overall, 64.7% of cases were attributed to chicken breast meat, followed by FRBCP (12.9%), ground chicken (9.1%). The salmonellosis incidence in the FoodNet Canada sentinel sites fell by one third with a parallel drop of one third in the percent of cases attributed to chicken breast meat between 2015 and 2019. Decreases in the contribution of many of the top serovars to the percentage of cases attributed to chicken breast meat indicate some emerging success with broiler breeder chicken vaccination programs in the provinces with FoodNet Canada sentinel sites. Preliminary analysis suggests the government intervention on FRCBP is also successful.
Conclusion: Chicken meat was the most important source of human salmonellosis, exhibiting some yearly variations overall and between specific chicken products. Industry and government interventions appear to be having a positive impact on salmonellosis cases and chicken-related serovars on retail chicken products. Demonstrating such impacts requires an integrated surveillance system allowing precise source attribution.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ff19db2d-ae02-42b3-bd44-4a206832d186","Title":"M.","FirstName":"Matt","LastName":"Hurst","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":1,"DisplayName":"Hurst M"},{"PresentationId":"ff19db2d-ae02-42b3-bd44-4a206832d186","Title":"Mrs","FirstName":"Andrea","LastName":"Nesbitt","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Nesbitt A"},{"PresentationId":"ff19db2d-ae02-42b3-bd44-4a206832d186","Title":"Mrs","FirstName":"Stefanie","LastName":"Kadykalo","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Kadykalo S"},{"PresentationId":"ff19db2d-ae02-42b3-bd44-4a206832d186","Title":"Mr.","FirstName":"Brendan","LastName":"Dougherty","Position":"Epidemiologist","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Dougherty B"},{"PresentationId":"ff19db2d-ae02-42b3-bd44-4a206832d186","Title":"Mr.","FirstName":"Juan Carlos","LastName":"Arango Sabogal","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Arango Sabogal J"},{"PresentationId":"ff19db2d-ae02-42b3-bd44-4a206832d186","Title":"Dr.","FirstName":"André","LastName":"Ravel","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Ravel A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ff19db2d-ae02-42b3-bd44-4a206832d186","Number":1,"Affiliation":"Faculté de médecine vétérinaire, Université de Montréal","City":"Saint-Hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada"}],"AuthorsHtml":"Hurst M, Nesbitt A, Kadykalo S, Dougherty B, Arango Sabogal J, Ravel A1","AffiliationsHtml":"
1Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe QC, Canada
"}],"DisplayName":"André Ravel","TimeDisplay":null},{"ContactId":"41739349-cd14-4796-861a-6a11d0d7fdc9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kassy","LastName":"Raymond","Position":null,"Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Graph Databases to Address Reproducibility of Data-Driven Estimates for the Global Burden of Animal Diseases","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"bb86a92e-d2a5-40ee-a236-98aaa56c7ae5","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.D - One Health","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"91ecf063-77d6-426e-a48b-3987365e0d0f","Html":null,"PlainText":"Objectives
The Global Burden of Animal Diseases (GBADs) aims to calculate the economic and health burden of animal diseases by combining and integrating data from national and global sources. Categorization of livestock species is crucial for estimating such metrics. Categories differ, however, between and within data sources, posing issues in the Findability, Accessibility, Interoperability, and Reusability (FAIR Principles) of the data. Furthermore, difficulties tracking data provenance hinders the ability to accurately reproduce pre-existing estimates. We propose using a Graph Database (GraphDB) to enhance research reproducibility by tracking livestock data provenance and evaluating the corpus of livestock categorizations in national and global data repositories.

Methods
Categorizations used for livestock species were programmatically collected from the FAO Statistical Database (FAOSTAT), the World Organization for Animal Health (OIE), the Ethiopian Central Statistics Agency, and Eurostat. A GraphDB management system, Neo4j, was used to create a GraphDB that tracks data provenance and supports the analysis of livestock categories between and within data sources.

Results
Analysis of the GraphDB identified similar and different livestock species categories between and within data sources and countries over time. Synonymous categories improve the Findability of data resources in data repositories. Conversely, mismatches in categorizations implicate differences in how data are interpreted and thus used. Therefore, tracking data provenance is indispensable to ensure that estimates can be reproduced.

Conclusion
The use of GraphDBs in GBADs provides a programme-wide data management tool that allows the data provenance of disease burden estimates to be tracked and reproduced. Furthermore, differences in categorizations of livestock by global and national organizations over time have been identified, motivating future research to improve the semantic interoperability of the data. The utility of this tool can be extended to improve data management and research reproducibility in other One Health domains.

Data-driven estimates, Graph Databases, One Health, Data Governance ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"91ecf063-77d6-426e-a48b-3987365e0d0f","Title":"Miss","FirstName":"Kassy","LastName":"Raymond","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Raymond K"},{"PresentationId":"91ecf063-77d6-426e-a48b-3987365e0d0f","Title":"Dr.","FirstName":"Deborah","LastName":"Stacey","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Stacey D"},{"PresentationId":"91ecf063-77d6-426e-a48b-3987365e0d0f","Title":"Dr.","FirstName":"Theresa","LastName":"Bernardo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Bernardo T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"91ecf063-77d6-426e-a48b-3987365e0d0f","Number":1,"Affiliation":"University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Raymond K1, Stacey D1, Bernardo T1","AffiliationsHtml":"
1University Of Guelph, Guelph ON, Canada
"}],"DisplayName":"Kassy Raymond","TimeDisplay":null},{"ContactId":"c75feeaa-def7-4040-bdc5-7d5106ed3d0c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mossa Merhi","LastName":"Reimert","Position":"PhD Fellow","Organization":"University of Copenhagen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"An ecological process-based model of wild boar","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fb4e9c00-839f-4ce3-a0c7-98491f948e9f","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.D - Epidemiology of African Swine Fever","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ab872cde-5af3-411b-8f17-583f82c577e2","Html":null,"PlainText":"Objectives: Models of disease spread in livestock must take into account the influence of wildlife in order to provide a realistic estimate of the expected size of an epidemic. Existing models of ASF are predominantly outcome focused, meaning that model parameters are calibrated to match population-wide statistics estimated from field studies. However, this approach may not fully capture the necessary features of the underlying system.

Materials and Methods: We use an entity-component system in the low-level programming language Rust to implement a process-oriented ecological model of wild boar breeding, mortality and dispersal. We include both seasonality and effects of density in order to more closely follow the biological drivers of the underlying ecological processes. We consider the impact of this alternative configuration on the spread of a simplified ASF-like disease. Danish land cover data is used to generate indicators of habitable regions and their corresponding carrying capacity for wild boar, and the spatial structure is represented by dividing the landscape into 3.5 km2 hexagons with an associated network structure representing adjacency.

Results: The duration of the epidemic and the extent of the potentially affected region are strongly influenced by the modelled ecological processes. The relative contribution of each aspect of the ecological process is quantified using sensitivity analysis.

Discussion: Differing approaches to modelling wild boar breeding and dispersal can have a large effect on the estimated spread of disease over a geographical area. Careful consideration of the underlying biology of these processes is therefore needed in order to ensure that the inference in terms of risk of transmission to domestic pigs is reasonable. The use of entity-component systems to model these processes provides substantial benefits in terms of computational burden and adaptability of the overall model.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ab872cde-5af3-411b-8f17-583f82c577e2","Title":"Mr.","FirstName":"Mossa Merhi","LastName":"Reimert","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Reimert M"},{"PresentationId":"ab872cde-5af3-411b-8f17-583f82c577e2","Title":"Dr.","FirstName":"Anette Ella","LastName":"Boklund","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Boklund A"},{"PresentationId":"ab872cde-5af3-411b-8f17-583f82c577e2","Title":"Dr.","FirstName":"Matthew","LastName":"Denwood","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Denwood M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab872cde-5af3-411b-8f17-583f82c577e2","Number":1,"Affiliation":"University Of Copenhagen","City":"Frederiksberg","State":"Sjælland","Country":"Denmark","AffiliationDisplay":"University Of Copenhagen, Frederiksberg Sjælland, Denmark"}],"AuthorsHtml":"Reimert M1, Boklund A, Denwood M","AffiliationsHtml":"
1University Of Copenhagen, Frederiksberg Sjælland, Denmark
"}],"DisplayName":"Mossa Merhi Reimert","TimeDisplay":null},{"ContactId":"505d38ac-fbec-44d4-9893-90ab3cc536c5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kristen","LastName":"Reyher","Position":"Professor Of Veterinary Epidemiology And Population Health","Organization":"Bristol Veterinary School, University Of Bristol","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/517887d0032e4e379e423908bbaef7a3","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The shifting role and practice of veterinary diagnosis in addressing concerns over antimicrobial use","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ca763b79-7635-441c-8165-1dc40b68113a","Html":null,"PlainText":"Objective
Growing attention to reducing antimicrobial use in animal health has led to a focus on rapid, point-of-care diagnostics to more effectively target medicine use. This work explores the emerging role of such diagnostic tests in the treatment of farm animal disease.

Materials and Methods
To investigate current diagnostic practices and perceptions of emerging rapid and point-of-care diagnostic tests, we undertook:
- Large-scale online survey of 153 farm animal veterinarians to investigate current veterinary diagnostic practice and antimicrobial treatment
- Semi-structured interviews with farm animal veterinarians (N=30) and farmers (N=30) in dairy, pig and poultry sectors
- Focus groups (N=3) with veterinarians and others considering diagnostic use on farms

Results
Several factors influenced veterinary diagnostic practice. Clinical observation and animal/herd knowledge was critical in selecting antimicrobial treatments, however there was considerable ambivalence regarding the use of rapid and point-of-care diagnostic tests to improve clinical diagnosis and address inappropriate antimicrobial use. Relative rapidity and simplification of results was compared to accuracy, interpretive flexibility and more detailed procedures of established laboratory testing. In situations of multifaceted on-farm aetiologies, rapid tests offered restricted diagnostic capabilities, though in other situations they were seen to allow ready confirmation of disease presence. Discussion suggested that veterinary rationales for engaging with and interpreting diagnostic testing were driven by both medical and non-medical motivations, scaffolded by circumstantial complexity and enmeshed with professional identity.

Conclusion
Veterinarians seek to manage uncertainties in farm environments in which diagnostic test use is situated, demanding dynamic professional rationales and motivations in the adoption and interpretation of these technologies. This complexity forces a disconnect upon any simple predictive relationship between rapid tests and more effective antimicrobial use in farm animal treatment. As a result, rapid tests are unlikely to drive significant reductions or revolutionise/displace current treatment practices.

Keywords: diagnostics, antimicrobial use, farm animal

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ca763b79-7635-441c-8165-1dc40b68113a","Title":"Prof.","FirstName":"Kristen","LastName":"Reyher","Position":"Professor Of Veterinary Epidemiology And Population Health","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Reyher K"},{"PresentationId":"ca763b79-7635-441c-8165-1dc40b68113a","Title":"Dr.","FirstName":"Alison","LastName":"Bard","Position":"Honorary Research Assistant","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Bard A"},{"PresentationId":"ca763b79-7635-441c-8165-1dc40b68113a","Title":"Dr.","FirstName":"Kin Wing (Ray)","LastName":"Chan","Position":"Postdoctoral Research Associate","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Chan K"},{"PresentationId":"ca763b79-7635-441c-8165-1dc40b68113a","Title":"Prof.","FirstName":"Stephen","LastName":"Hinchliffe","Position":"Professor in Human Geography","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Hinchliffe S"},{"PresentationId":"ca763b79-7635-441c-8165-1dc40b68113a","Title":"Dr.","FirstName":"Ann","LastName":"Bruce","Position":"Senior Lecturer","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Bruce A"},{"PresentationId":"ca763b79-7635-441c-8165-1dc40b68113a","Title":"Prof.","FirstName":"Henry","LastName":"Buller","Position":"Head of Department, Professor of (more than) Human Geography","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Buller H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ca763b79-7635-441c-8165-1dc40b68113a","Number":1,"Affiliation":"Bristol Veterinary School, University Of Bristol","City":"Langford","State":"North Somerset","Country":"United Kingdom","AffiliationDisplay":"Bristol Veterinary School, University Of Bristol, Langford North Somerset, United Kingdom"}],"AuthorsHtml":"Reyher K1, Bard A, Chan K, Hinchliffe S, Bruce A, Buller H","AffiliationsHtml":"
1Bristol Veterinary School, University Of Bristol, Langford North Somerset, United Kingdom
"},{"Title":"Overcoming barriers towards a flexible and multi-use databank for One Health antimicrobial resistance research","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"26d7096e-da0d-4d6e-b855-74ce32a2ffb5","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"26641625-37ff-4e24-91b5-9593acc1b5d4","Html":null,"PlainText":"Objective
Currently there is no consistent and reliable source of information to estimate antimicrobials used in livestock farming. Estimates are often based on national sales data which don't clearly translate to use at veterinary practice, farm or animal levels. Additionally, AMU data are largely recorded separately from AMR data. Linking data in the same animal/herd/farm is crucial to support the investigation of critical questions regarding AMR/AMU, but is not currently possible. Our work assesses the challenges and benefits of linking major sources of AMU and AMR data collected by the UK livestock industries.

Materials and Methods
We drew together information from different sources - veterinary records, milk retailer data, research studies and diagnostic laboratory results - using state-of-the-art technology to maintain strict confidentiality, anonymity and data protection. We investigated privacy-preserving record linkage to combine datasets and tested a novel string similarity function across four datasets containing veterinary medicine sales/usage records.

Results
To link AMU and AMR data from multiple sources in a privacy-preserving way, we used an identifier unique to each UK livestock holding, available across datasets and suitable for automatic extraction. By simulating multiple data providers and a data consumer, we found the method provided accurate matching whilst maintaining privacy. To maintain accurate quantitative composition and licensing information for medicines, we developed an algorithm to allow automated matching of recorded medicines data to the national Product Information Database.

Conclusions
This work provides foundational understanding of requirements to significantly advance the ideas of shared livestock health data. Data science techniques can provide solutions for technical barriers, but there are complex social issues which technology alone cannot solve. Deeper understanding of the context of collection and sharing of data from both social and data science perspectives is required to unlock the potential of these resources.

Keywords: databank, livestock, AMU, AMR
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"26641625-37ff-4e24-91b5-9593acc1b5d4","Title":"Dr","FirstName":"Jonathan","LastName":"Massey","Position":"Epidemiologist/Health Data Scientist","Affiliations":null,"IsPresenting":false,"SortOrder":1,"DisplayName":"Massey J"},{"PresentationId":"26641625-37ff-4e24-91b5-9593acc1b5d4","Title":"Prof.","FirstName":"Kristen","LastName":"Reyher","Position":"Professor Of Veterinary Epidemiology And Population Health","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Reyher K"},{"PresentationId":"26641625-37ff-4e24-91b5-9593acc1b5d4","Title":"Dr","FirstName":"Fernando","LastName":"Sanchez-Vizcaino","Position":"Senior lecturer in veterinary public health","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Sanchez-Vizcaino F"},{"PresentationId":"26641625-37ff-4e24-91b5-9593acc1b5d4","Title":"Ms","FirstName":"Eleanor","LastName":"Walsh","Position":"Senior Research Associate","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Walsh E"},{"PresentationId":"26641625-37ff-4e24-91b5-9593acc1b5d4","Title":"Prof.","FirstName":"Andrew","LastName":"Dowsey","Position":"Chair in Population Health Data Science","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Dowsey A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26641625-37ff-4e24-91b5-9593acc1b5d4","Number":1,"Affiliation":"Bristol Veterinary School, University Of Bristol","City":"Langford","State":"North Somerset","Country":"United Kingdom","AffiliationDisplay":"Bristol Veterinary School, University Of Bristol, Langford North Somerset, United Kingdom"}],"AuthorsHtml":"Massey J, Reyher K1, Sanchez-Vizcaino F, Walsh E, Dowsey A","AffiliationsHtml":"
1Bristol Veterinary School, University Of Bristol, Langford North Somerset, United Kingdom
"}],"DisplayName":"Kristen Reyher","TimeDisplay":null},{"ContactId":"b9cb6f51-9ec8-4292-92c6-e8c9748a2001","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kristen","LastName":"Reynolds","Position":"Postdoctoral Fellow","Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Determining antimicrobial use in Canadian commercial marine finfish production through the use of publicly available data","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"42d30cc8-6b12-409f-923e-ad120d6ae806","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"a01eb8cd-d31e-4f36-8f90-7863acbcf10f","Html":null,"PlainText":"Keywords: aquaculture, finfish, antimicrobial use, one health, epidemiology

The objective of this investigation was to characterize the use of antimicrobials in Canadian finfish aquaculture over a 3-year period (2016-2018).

Publicly available data on antimicrobial use at the farm level in 4 Canadian provinces (1 on the Pacific coast, 3 on the Atlantic coast) were compiled and analyzed.

Cumulatively within years reported, most frequently used antibiotics were florfenicol (75.1% of treatments, 9,487kg) and oxytetracycline (19.8% of treatments, 36,319kg). Provincially, the Pacific Ocean province had the highest frequency of antibiotic treatments and the largest volume (kg) of florfenicol use. While total kg of oxytetracycline used was similar between the Pacific Ocean province and two of the three Atlantic Ocean provinces, when provincial finfish production data (metric-tonne produced/year) was used to standardize antimicrobial use, the 2 Atlantic Ocean provinces used more oxytetracycline (kg/metric-tonne produced/year) than the Pacific Ocean province. Data on species, size/number of fish treated, treatment dose and duration, treatment purpose, or facility’s geographical location were not reported alongside treatment. Some of these data were available separately, though not for all provinces. What was available was difficult or impossible to match to the reported antimicrobial use data. In addition, differences existed by year in the number of the facilities reporting any antimicrobial use, or for facilities reporting at all. This is likely due to a combination of factors, including the lack of any treatment used at an active facility in a given year, a facility being in a fallow period, or production temporarily or permanently discontinued.

While public reporting of antimicrobials provides transparency and a starting point for assessing antimicrobial use in finfish aquaculture, harmonizing additional data available among all provinces would improve the usefulness of this information to aquaculture researchers and other stakeholders, and provide context to the existing reported data.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a01eb8cd-d31e-4f36-8f90-7863acbcf10f","Title":"Dr.","FirstName":"Kristen","LastName":"Reynolds","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Reynolds K"},{"PresentationId":"a01eb8cd-d31e-4f36-8f90-7863acbcf10f","Title":"Dr.","FirstName":"Sonja","LastName":"Saksida","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Saksida S"},{"PresentationId":"a01eb8cd-d31e-4f36-8f90-7863acbcf10f","Title":"Dr.","FirstName":"J","LastName":"McClure","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"McClure J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a01eb8cd-d31e-4f36-8f90-7863acbcf10f","Number":1,"Affiliation":"University Of Prince Edward Island","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"University Of Prince Edward Island, Charlottetown PEI, Canada"}],"AuthorsHtml":"Reynolds K1, Saksida S1, McClure J1","AffiliationsHtml":"
1University Of Prince Edward Island, Charlottetown PEI, Canada
"}],"DisplayName":"Kristen Reynolds","TimeDisplay":null},{"ContactId":"3c379852-1040-4ac2-903e-c4ee6ed86e40","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Karl","LastName":"Rich","Position":"Director/professor","Organization":"Oklahoma State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Karl M. Rich is Director of the Master of International Agriculture Program (MIAP) in the Ferguson College of Agriculture and a Professor of Agricultural Economics at Oklahoma State University. While trained as an agricultural economist, Dr. Rich’s research has cut across disciplinary boundaries, integrating agricultural and livestock policy analysis, global agribusiness issues, animal and aquatic health, and methods development. He has successfully worked with veterinarians, epidemiologists, animal scientists, and crop experts on a variety of applied research topics around the world, providing contextual guidance on socio-economic drivers of behavior and uptake and empirical evidence of benefits and tradeoffs across economic, social, and environmental dimensions. Most recently, he has pioneered the use of specialized participatory tools to develop systems models and impact assessments with stakeholders to help them co-conceptualize problems and co-create solutions. These tools have been applied in the context of urban agriculture planning in New Zealand; socio-economic drivers of animal disease in Zambia, Timor-Leste, Thailand, Vietnam, and Senegal; nutritionally-sensitive marketing channels for horticulture in South Asia; livestock value chain development in Nicaragua, Myanmar, and Ghana; and climate-smart agriculture in Senegal.

Dr. Rich joined OSU in July 2021 after 16 years of working overseas. Dr. Rich has traveled to 87 countries, with applied research and/or teaching experience in over 30 of these countries and long-term residence in nine. He was most recently at the International Livestock Research Institute’s (ILRI) West Africa Regional Office in Dakar, Senegal. At ILRI, Dr. Rich led a multidisciplinary team conducting applied research that informed livestock sector strategy and investment options in the developing world. He led a Bill and Melinda Gates Foundation project to develop improved tools for livestock sector planning, as well as an impact assessment of the 2019 African Swine Fever outbreak in Vietnam and a project on livestock trade corridors in West Africa. He was also part of a multidisciplinary team that advised the Government of Uruguay on whether to stop vaccination against foot-and-mouth disease in 2019. Previous to his work at ILRI, Dr. Rich worked in the Master of International Rural Development program at Lincoln University in New Zealand; the Norwegian Institute of International Affairs in Oslo; the Department of Economics at the American University of Cairo; the South Asia Office of the International Food Policy Research Institute in New Delhi, India; and the U.S. International Trade Commission in Washington, D.C. He also has served as an advisor to the CGIAR Covid-19 Hub; a World Health Organization panel on neglected tropical diseases; and the Scottish Government’s Centre for Excellence on Animal Health (EPIC). In the past ten years, he has raised over $20 million in external grants in collaboration with multidisciplinary research teams. He has over 70 peer-reviewed articles in a variety of high-impact journals that span the areas of agricultural economics, agribusiness, systems modeling, veterinary science, and environmental management.

Dr. Rich holds graduate degrees (M.S. and Ph.D.) in agricultural economics from the University of Illinois at Urbana-Champaign and a bachelors (A.B.) degree in economics from the University of California, Berkeley.

","Presentations":[{"Title":"The role of participatory systems modeling in animal health impact assessments: methods and applications","Bio":"Dr. Karl M. Rich is Director of the Master of International Agriculture Program (MIAP) in the Ferguson College of Agriculture and a Professor of Agricultural Economics at Oklahoma State University. While trained as an agricultural economist, Dr. Rich’s research has cut across disciplinary boundaries, integrating agricultural and livestock policy analysis, global agribusiness issues, animal and aquatic health, and methods development. He has successfully worked with veterinarians, epidemiologists, animal scientists, and crop experts on a variety of applied research topics around the world, providing contextual guidance on socio-economic drivers of behavior and uptake and empirical evidence of benefits and tradeoffs across economic, social, and environmental dimensions. Most recently, he has pioneered the use of specialized participatory tools to develop systems models and impact assessments with stakeholders to help them co-conceptualize problems and co-create solutions. These tools have been applied in the context of urban agriculture planning in New Zealand; socio-economic drivers of animal disease in Zambia, Timor-Leste, Thailand, Vietnam, and Senegal; nutritionally-sensitive marketing channels for horticulture in South Asia; livestock value chain development in Nicaragua, Myanmar, and Ghana; and climate-smart agriculture in Senegal.\r\n \r\nDr. Rich joined OSU in July 2021 after 16 years of working overseas. Dr. Rich has traveled to 87 countries, with applied research and/or teaching experience in over 30 of these countries and long-term residence in nine. He was most recently at the International Livestock Research Institute’s (ILRI) West Africa Regional Office in Dakar, Senegal. At ILRI, Dr. Rich led a multidisciplinary team conducting applied research that informed livestock sector strategy and investment options in the developing world. He led a Bill and Melinda Gates Foundation project to develop improved tools for livestock sector planning, as well as an impact assessment of the 2019 African Swine Fever outbreak in Vietnam and a project on livestock trade corridors in West Africa. He was also part of a multidisciplinary team that advised the Government of Uruguay on whether to stop vaccination against foot-and-mouth disease in 2019. Previous to his work at ILRI, Dr. Rich worked in the Master of International Rural Development program at Lincoln University in New Zealand; the Norwegian Institute of International Affairs in Oslo; the Department of Economics at the American University of Cairo; the South Asia Office of the International Food Policy Research Institute in New Delhi, India; and the U.S. International Trade Commission in Washington, D.C. He also has served as an advisor to the CGIAR Covid-19 Hub; a World Health Organization panel on neglected tropical diseases; and the Scottish Government’s Centre for Excellence on Animal Health (EPIC). In the past ten years, he has raised over $20 million in external grants in collaboration with multidisciplinary research teams. He has over 70 peer-reviewed articles in a variety of high-impact journals that span the areas of agricultural economics, agribusiness, systems modeling, veterinary science, and environmental management.\r\n \r\nDr. Rich holds graduate degrees (M.S. and Ph.D.) in agricultural economics from the University of Illinois at Urbana-Champaign and a bachelors (A.B.) degree in economics from the University of California, Berkeley. \r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"a8f4fbc4-425c-4b83-86dc-c07e4ef90ba5","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"10_Special Session Part 2: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"5e7ce536-4985-4a04-b850-7cd127181efa","Html":null,"PlainText":"Animal diseases, their control, and prospective intervention options take place within a systems context, mediated by a range of epidemiological, biophysical, environmental, economic, and social factors. The successful control and management of animal diseases requires both a holistic strategy that incorporates these multifaceted dimensions and mechanisms that incentivize stakeholders to participate and work together towards achieving sustainable solutions.

Participatory systems modeling is one approach to achieve these joint aims. By integrating the collective knowledge and experience of stakeholders across a range of activities within the animal health system, practitioners and facilitators can capture a broader array of information (especially in data-scarce environments) and build common ground towards collective intervention options that have buy-in from stakeholders and improve decision making.

In this presentation, the process of building such models with stakeholders is detailed, highlighting its applicability in a variety of contexts and environments. Examples of its use in African Swine Fever, PPR, and East Coast Fever will be provided, as will guidance on future developments and applications in different settings. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5e7ce536-4985-4a04-b850-7cd127181efa","Title":"Dr.","FirstName":"Karl","LastName":"Rich","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Rich K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5e7ce536-4985-4a04-b850-7cd127181efa","Number":1,"Affiliation":"Oklahoma State University","City":"Stillwater","State":"OK","Country":"USA","AffiliationDisplay":"Oklahoma State University, Stillwater OK, USA"}],"AuthorsHtml":"Rich K1","AffiliationsHtml":"
1Oklahoma State University, Stillwater OK, USA
"}],"DisplayName":"Karl Rich","TimeDisplay":null},{"ContactId":"cde1df97-46b7-4807-be2c-c5e43a89c838","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Shauna","LastName":"Richards","Position":"","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e117080b455d41779a80755bd8c4f8c1","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Quantifying reasons for treatment failure with trypanocides used on cattle in Tanzania ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"2e5cf67a-5559-422f-9a78-2d83d80d539c","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Html":null,"PlainText":"Objective: To determine the incidence and causes of treatment failure in owned cattle in Tanzania when farmers diagnose trypanosomiasis and treat cattle with trypanocides.

Materials and Methods: A longitudinal one-year observational study was initiated in June 2021, monitoring trypanocide treatment failure in farms close to wildlife protected areas, owning a minimum of 30 cattle >6months of age, residing within Serengeti District, and self-reporting high use of trypanocides, especially isometamidum chloride (ISM). A baseline survey, cattle examinations, and blood sampling were performed at enrolment to evaluate management practices and prevalence of trypanosomiasis. When farmers initiated a treatment with a trypanocide they called the project veterinarian to examine animal(s) and collect blood samples to evaluate for trypanosomiasis, and the farmer’s treatment practices. Follow up blood samples were taken at one week and one-month post-treatments with all trypanocides, and additional samples of two- and three-months post treatment for ISM to assess prophylaxis.

Results: During the first six months of the study, 180 treatments were initiated, with 128 farmers using ISM, 48 using diminazene aceturate, and 16 using homidium chloride. The majority of treatments (63.3%) were administered prophylactically using intramuscular injections to cattle the farmer deemed healthy. In 6.1% of treatments the medication was not administered appropriately (injection technique was inadequate). Under-dosing (according to manufacturer guidelines) occurred in 22.8% of treatments. Farmers used unsterile water, oxytetracycline, and tylosin to dilute trypanocides, and in some instances mixed multiple trypanocides in a single dose.

Conclusion: Early results suggest multi-factorial reasons for treatment failure including incorrect diagnoses by the farmer (use of trypanocide when the animal did not have trypanosomiasis), under-dosing, inappropriate methods of administration, poor quality or counterfeit trypanocides, and trypanocide resistance. The relative importance of different causes of treatment failure is rarely assessed but is essential to inform strategies to improve effective treatment.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Dr.","FirstName":"Shauna","LastName":"Richards","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Richards S"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Dr","FirstName":"Shaun","LastName":"Keegan","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Keegan S"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Dr","FirstName":"Pieter C","LastName":"Steketee","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Steketee P"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":null,"FirstName":"Paul Sampson","LastName":"Buyugu","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Buyugu P"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Dr","FirstName":"Oliver","LastName":"Manangwa","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Manangwa O"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Dr","FirstName":"Furaha","LastName":"Mramba","Position":null,"Affiliations":"4,5","IsPresenting":false,"SortOrder":6,"DisplayName":"Mramba F"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":null,"FirstName":"Edith","LastName":"Paxton","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Paxton E"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Prof.","FirstName":"Liam","LastName":"Morrison","Position":"PI","Affiliations":"2","IsPresenting":false,"SortOrder":8,"DisplayName":"Morrison L"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Dr","FirstName":"Louise","LastName":"Matthews","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Matthews L"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":null,"FirstName":"Ryan","LastName":"Ritchie","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":10,"DisplayName":"Ritchie R"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Dr","FirstName":"Michael P","LastName":"Barrett","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":11,"DisplayName":"Barrett M"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Dr","FirstName":"Stephen J","LastName":"Torr","Position":null,"Affiliations":"7","IsPresenting":false,"SortOrder":12,"DisplayName":"Torr S"},{"PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Title":"Dr.","FirstName":"Harriet","LastName":"Auty","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":13,"DisplayName":"Auty H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Number":1,"Affiliation":"Institute of Biodiversity, Animal Health & Comparative Medicine, University of Glasgow","City":"Glasgow","State":null,"Country":"United Kingdom","AffiliationDisplay":"Institute of Biodiversity, Animal Health & Comparative Medicine, University of Glasgow, Glasgow, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Number":2,"Affiliation":"Roslin Institute, University of Edinburgh","City":"Edinburgh","State":null,"Country":"UK","AffiliationDisplay":"Roslin Institute, University of Edinburgh, Edinburgh, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Number":3,"Affiliation":"Vector and Vector Borne Disease Institute","City":"Tanga","State":null,"Country":"Tanzania","AffiliationDisplay":"Vector and Vector Borne Disease Institute, Tanga, Tanzania"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Number":4,"Affiliation":"Tanzania Veterinary Laboratory Agency","City":"Dar es Salaam","State":null,"Country":"Tanzania","AffiliationDisplay":"Tanzania Veterinary Laboratory Agency, Dar es Salaam, Tanzania"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Number":5,"Affiliation":"Hestor Bioscience Africa Ltd.","City":"Kibaha","State":null,"Country":"Tanzania","AffiliationDisplay":"Hestor Bioscience Africa Ltd., Kibaha, Tanzania"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Number":6,"Affiliation":"Wellcome Centre for Integrative Parasitology, Institute of Infection, Immunity & Inflammation, University of Glasgow","City":"Glasgow","State":null,"Country":"UK","AffiliationDisplay":"Wellcome Centre for Integrative Parasitology, Institute of Infection, Immunity & Inflammation, University of Glasgow, Glasgow, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"770533de-7de6-4338-8dc8-ac2cec1db565","Number":7,"Affiliation":"Dept. of Vector Biology, Liverpool School of Tropical Medicine","City":"Liverpool","State":null,"Country":"UK","AffiliationDisplay":"Dept. of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK"}],"AuthorsHtml":"Richards S1, Keegan S1, Steketee P2, Buyugu P3, Manangwa O3, Mramba F4,5, Paxton E2, Morrison L2, Matthews L1, Ritchie R6, Barrett M6, Torr S7, Auty H1","AffiliationsHtml":"
1Institute of Biodiversity, Animal Health & Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
2Roslin Institute, University of Edinburgh, Edinburgh, UK
3Vector and Vector Borne Disease Institute, Tanga, Tanzania
4Tanzania Veterinary Laboratory Agency, Dar es Salaam, Tanzania
5Hestor Bioscience Africa Ltd., Kibaha, Tanzania
6Wellcome Centre for Integrative Parasitology, Institute of Infection, Immunity & Inflammation, University of Glasgow, Glasgow, UK
7Dept. of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK
"}],"DisplayName":"Shauna Richards","TimeDisplay":null},{"ContactId":"0aa9b4a7-39a8-4a41-bb43-53659a487573","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Moniek","LastName":"Ringenier","Position":"","Organization":"Ghent University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Fluoroquinolone resistance in E. coli in broilers: mapping the spread","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8843ea3e-07e1-4949-9146-59cb5f6a796f","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Html":null,"PlainText":"Objective
Although restrictions on the use of fluoroquinolones in livestock have been imposed in Belgium since 2016, still high levels of fluoroquinolone (FQ) resistance are found in commensal E. coli in broilers. The purpose of this study was to describe the FQ resistance prevalence in E. coli and the role of day-old chicks and the environment in the dynamics of the spread within different flocks.

Materials and methods
On 29 broiler farms, antibiotic use was monitored and both water and environmental samples were collected prior to arrival of the chicks. 30 broilers were sampled per farm on days 0 (before entering the stable), 3 and 35 of the production round. In all samples, total E. coli and FQ resistant E. coli isolates were quantified by plating on MacConkey agar without and with 0.25 μg/ml enrofloxacin (ECOFF). All isolates were identified using MALDI-TOF MS. A selection of the isolates was submitted for whole genome sequencing to perform cgMLST analysis and detect resistance determinants.

Results
Before they entered the stable, the day-old chicks carried FQ resistant E. coli in 82.8% of the farms and FQ resistant E. coli were found in the environment on boots (10.3%), hygiene lock (24.1%), drinking cups (10,3%), feeding pans (20.7%), and stable floor (24.1%). According to cgMLST, identical FQ resistant isolates were found on day 0 and day 35, suggesting that FQ resistant isolates present in the environment at the start of a production round or in day-old chicks, remained present until slaughter, even though no FQs were used.

Conclusion
The continued presence of FQ resistant E. coli in Belgian broiler farms is the result of both a historical contamination at the farm level and a continuous influx along the production chain.

Keywords: fluoroquinolones, antimicrobial resistance, broiler, whole genome sequencing , E. coli
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Title":"Ms.","FirstName":"Moniek","LastName":"Ringenier","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ringenier M"},{"PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Title":"Dr.","FirstName":"Filip ","LastName":"Boyen","Position":"2","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Boyen F"},{"PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Title":"Dr.","FirstName":"Sigrid","LastName":"De Keersmaecker","Position":"3","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"De Keersmaecker S"},{"PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Title":"Dr.","FirstName":"Kevin","LastName":"Vanneste","Position":"4","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Vanneste K"},{"PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Title":"Prof. ","FirstName":"Matthias","LastName":"Devreese","Position":"5","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Devreese M"},{"PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Title":"Prof.","FirstName":"Jeroen","LastName":"Dewulf","Position":"6","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Dewulf J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Number":1,"Affiliation":"Department of Internal Medicine, Reproduction, and Population Medicine, Faculty of Veterinary Medicine, Ghent University","City":"Merelbeke","State":null,"Country":"Belgium","AffiliationDisplay":"Department of Internal Medicine, Reproduction, and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Number":2,"Affiliation":"Department of Pathobiology, Pharmacology, and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University","City":"Merelbeke","State":null,"Country":"Belgium","AffiliationDisplay":"Department of Pathobiology, Pharmacology, and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"729247f0-f317-4036-a735-c02131f049e1","Number":3,"Affiliation":"Transversal activities in Applied Genomics, Sciensano","City":"Brussels","State":null,"Country":"Belgium","AffiliationDisplay":"Transversal activities in Applied Genomics, Sciensano, Brussels, Belgium"}],"AuthorsHtml":"Ringenier M1, Boyen F2, De Keersmaecker S3, Vanneste K3, Devreese M2, Dewulf J1","AffiliationsHtml":"
1Department of Internal Medicine, Reproduction, and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
2Department of Pathobiology, Pharmacology, and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
3Transversal activities in Applied Genomics, Sciensano, Brussels, Belgium
"}],"DisplayName":"Moniek Ringenier","TimeDisplay":null},{"ContactId":"bcd63d04-2038-4c76-b722-9baf404c5f53","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Caroline","LastName":"Ritter","Position":"Assistant Professor and Canada Research Chair","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/62f0057ead194f7491f37e85bdae313e","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Accounting for the ‘human factor’ in AMU decision-making","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"af6d9681-b193-467e-8ad8-bddbc5b546de","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"1_Special Session: Opening the Social Sciences umbrella to tackle AMR: lessons from human and animal health (ISESSAH)","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[],"Authors":[{"PresentationId":"25a49776-7a9c-4a2a-8252-4155e1771954","Title":"Ms.","FirstName":"Caroline","LastName":"Ritter","Position":"Assistant Professor and Canada Research Chair","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Ritter C"}],"Affiliations":[],"AuthorsHtml":"Ritter C","AffiliationsHtml":""}],"DisplayName":"Caroline Ritter","TimeDisplay":null},{"ContactId":"a5f4c408-0c39-4f02-bb9e-12b0f6e8caf9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Daniella","LastName":"Rizzo","Position":"Epidemiologist","Organization":"Public Health Agency Of Canada","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7dc27b17c5dd4db6821b335b1f0583ae","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Engagement of Canadian veterinary clinics to collect herd-level AMU data for herds enrolled in the Canadian Dairy Network for Antimicrobial Stewardship and Resistance (CaDNetASR) program","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"70aada13-0954-4140-a22d-5cd62ee42f41","Html":null,"PlainText":"Introduction

In 2019, the Canadian Dairy Network for Antimicrobial Stewardship and Resistance (CaDNetASR) was implemented in 5 major dairy producing provinces (Alberta, British Columbia, Nova Scotia, Ontario, and Québec). This surveillance program has a requirement to provide herd-level estimates of antimicrobial use (AMU).

Objective
To establish a surveillance framework to effectively monitor AMU in Canadian dairy herds. The aim of this study was to investigate the feasibility and logistics associated with the provision of herd- level veterinary dispensing data as a source of AMU data.

Materials and Methods
A short questionnaire was developed with research ethics approval. It was emailed to all veterinary clinics servicing dairy herds enrolled in the CaDNetASR program with a response period of April 8 to June 7, 2021. Questions focused on identifying veterinary software used by clinics when dispensing drug products to dairy producers, the method of dispensation (direct vs pharmacy), the ability to extract and share herd-level dispensing information, and the willingness of veterinarians to share this information.

Results
The response rate was 47% (23/49 veterinary clinics). All 5 participating provinces were represented by the respondents. 8 different veterinary software’s were identified, and 87% (20/23) of respondents indicated that they were willing to provide herd-level veterinary dispensing data to the program.

Conclusion
This questionnaire process succeeded in laying the groundwork for veterinary clinic engagement across Canada to facilitate the provision of herd-level dispensing data. AMU estimates derived from these data will support enhanced antimicrobial stewardship in the Canadian dairy sector.

Keywords: Dairy, antimicrobial use, veterinary dispensing
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"70aada13-0954-4140-a22d-5cd62ee42f41","Title":"Dr.","FirstName":"Daniella","LastName":"Rizzo","Position":"Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Rizzo D"},{"PresentationId":"70aada13-0954-4140-a22d-5cd62ee42f41","Title":"Mr.","FirstName":"David","LastName":"Leger","Position":"Veterinary Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Leger D"},{"PresentationId":"70aada13-0954-4140-a22d-5cd62ee42f41","Title":"Dr","FirstName":"Luke","LastName":"Heider","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Heider L"},{"PresentationId":"70aada13-0954-4140-a22d-5cd62ee42f41","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Kelton D"},{"PresentationId":"70aada13-0954-4140-a22d-5cd62ee42f41","Title":"Mr.","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Sanchez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70aada13-0954-4140-a22d-5cd62ee42f41","Number":1,"Affiliation":"Public Health Agency Of Canada","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Public Health Agency Of Canada, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70aada13-0954-4140-a22d-5cd62ee42f41","Number":2,"Affiliation":"University of Prince Edward Island","City":"Charlottetown","State":"PEI","Country":"Canada","AffiliationDisplay":"University of Prince Edward Island, Charlottetown PEI, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"70aada13-0954-4140-a22d-5cd62ee42f41","Number":3,"Affiliation":"University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Rizzo D1, Leger D1, Heider L2, Kelton D3, Sanchez J2","AffiliationsHtml":"
1Public Health Agency Of Canada, Guelph ON, Canada
2University of Prince Edward Island, Charlottetown PEI, Canada
3University of Guelph, Guelph ON, Canada
"}],"DisplayName":"Daniella Rizzo","TimeDisplay":null},{"ContactId":"d3302172-a37b-4112-b3ad-059e296efaed","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kelsey","LastName":"Robertson","Position":"Project coordinator","Organization":"University of Alberta","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Factors associated with antimicrobial-resistant Campylobacter infections in humans: A scoping review","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Html":null,"PlainText":"Campylobacter species, a leading cause of acute diarrheic illness globally, have developed resistance to antimicrobials important to human medicine. Infection with antimicrobial-resistant Campylobacter is an important public health concern as it has been linked with increased severity of illness and risk of death. There is need to synthesize the research and identify key gaps. The objective of this study was to perform a scoping review of factors potentially associated with human infection with antimicrobial-resistant Campylobacter.

Comprehensive literature searches were performed in five primary and three grey literature databases. Criteria for inclusion were analytical English publications of antimicrobial resistant Campylobacter infections in humans (resistant to macrolides, tetracyclines, fluoroquinolones, and/or quinolones) that reported factors potentially linked with infection. Factors were defined as a practice or circumstance which influences antimicrobial resistance. Using Distiller SR®, primary and secondary screening were completed independently by two reviewers and data extraction was completed by a single reviewer.

The search identified 8,527 de-duplicated articles and 27 articles were included after screening. Factors were broadly grouped into seven themes: animal contact, prior antimicrobial use, participant characteristics, food and food preparation, travel, underlying health conditions, and water. Articles exploring factors related to travel (n=17) and participant characteristics (n=14), such as age, were most common.

This scoping review mapped current literature investigating factors related to antimicrobial-resistant Campylobacter infections in humans. The heterogeneity of the results and articles provided a broad overview of the available factors while also illuminating areas for potential future research.

antimicrobial resistance
public health
antimicrobial
One Health
Campylobacter
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9fca433bcb4f4baab8b188a4564c6c8b","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":"Mx.","FirstName":"Christine","LastName":"Neustaedter","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Neustaedter C"},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":"Ms.","FirstName":"Kelsey","LastName":"Robertson","Position":"Project coordinator","Affiliations":"1,3","IsPresenting":true,"SortOrder":2,"DisplayName":"Robertson K"},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":"Ms.","FirstName":"Dana","LastName":"Tschritter","Position":"","Affiliations":"7","IsPresenting":false,"SortOrder":3,"DisplayName":"Tschritter D"},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":"Dr.","FirstName":"Richard","LastName":"Reid-Smith","Position":"Veterinary Epidemiologist","Affiliations":"2,3,4","IsPresenting":false,"SortOrder":4,"DisplayName":"Reid-Smith R"},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":null,"FirstName":"Melissa C.","LastName":"MacKinnon","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"MacKinnon M"},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":"Dr","FirstName":"Carolee","LastName":"Carson","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Carson C"},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":null,"FirstName":"Colleen P.","LastName":"Murphy","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":7,"DisplayName":"Murphy C"},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":null,"FirstName":"Brennan","LastName":"Chapman","Position":null,"Affiliations":"2,4","IsPresenting":false,"SortOrder":8,"DisplayName":"Chapman B"},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":null,"FirstName":"Charly","LastName":"Phillips","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":9,"DisplayName":"Phillips C"},{"PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Title":"Dr.","FirstName":"Simon","LastName":"Otto","Position":"Associate Professor","Affiliations":"1,3,6","IsPresenting":false,"SortOrder":10,"DisplayName":"Otto S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Number":1,"Affiliation":"HEAT-AMR Research Group, University Of Alberta","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"HEAT-AMR Research Group, University Of Alberta, Edmonton AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Number":2,"Affiliation":"Food-Borne Disease and Antimicrobial Resistance Surveillance Division, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":null,"State":"Ontario","Country":"Canada","AffiliationDisplay":"Food-Borne Disease and Antimicrobial Resistance Surveillance Division, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Number":3,"Affiliation":"Antimicrobial Resistance - One Health Consortium","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"Antimicrobial Resistance - One Health Consortium, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Number":4,"Affiliation":"Department of Population Medicine, University of Guelph Ontario Veterinary College","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph Ontario Veterinary College, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Number":5,"Affiliation":"Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada","City":null,"State":"Ontario","Country":"Canada","AffiliationDisplay":"Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Number":6,"Affiliation":"Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta, Edmonton Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db9fe17c-bb78-402c-9246-34c7841a4a72","Number":7,"Affiliation":"Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph ON, Canada"}],"AuthorsHtml":"Neustaedter C1, Robertson K1,3, Tschritter D7, Reid-Smith R2,3,4, MacKinnon M2, Carson C2, Murphy C2, Chapman B2,4, Phillips C5, Otto S1,3,6","AffiliationsHtml":"
1HEAT-AMR Research Group, University Of Alberta, Edmonton AB, Canada
2Food-Borne Disease and Antimicrobial Resistance Surveillance Division, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Ontario, Canada
3Antimicrobial Resistance - One Health Consortium, Canada
4Department of Population Medicine, University of Guelph Ontario Veterinary College, Guelph Ontario, Canada
5Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Ontario, Canada
6Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta, Edmonton Alberta, Canada
7Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph ON, Canada
"},{"Title":"Antimicrobial Resistance in the British Columbia, Canada Finfish Aquaculture Industry (2007-2018)","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"42d30cc8-6b12-409f-923e-ad120d6ae806","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"d52427c5-9f6b-44a8-9586-685b691442cf","Html":null,"PlainText":"Keywords: finfish aquaculture; antimicrobial resistance; surveillance; One Health

Objective: Antimicrobial resistance (AMR) is a global One Health issue with severe consequences for humans, animals, and the environment. The rise of global aquaculture coupled with the use of antimicrobials to control diseases has raised concerns about the development, transmission, and consequences of AMR in finfish aquaculture. The objective of this study was to analyze AMR trends in bacterial species isolated from the British Columbia (BC), Canada finfish aquaculture industry.

Methods: The BC Ministry of Agriculture, Food and Fisheries’ Animal Health Centre provided anonymized data for bacterial isolates from farmed finfish species from 2007-2018. Data included antimicrobial susceptibilities for florfenicol, oxytetracycline, sulfa-trimethoprim, and triple sulfa: sulphamerazine, sulphathiazole, and sulphadiazine, representing the antimicrobials approved for use in finfish in Canada. Annual AMR was analyzed by bacteria for each farmed finfish species.

Results: Antimicrobial susceptibility data were analyzed for 1,237 unique finfish isolates from Atlantic salmon (1,042), Pacific salmon (95), and Rainbow trout (71). Susceptibilities for Atlantic salmon isolates are shown in Figure 1. Results will be presented by bacterial genera, species, fish species, and year, with a focus on Aeromonas salmonicida, Vibrio anguillarum, Yersinia ruckeri, and other species with >30 isolates.

Conclusion: Resistance to antimicrobials important for the finfish industry in BC remained relatively low over the study period. Continued monitoring and reporting of AMR within the finfish aquaculture industry is critically important to inform One Health approaches for antimicrobial stewardship.


Figure 1: Annual antimicrobial susceptibilities of bacterial isolates from Atlantic salmon (2007-2018).
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1HEAT-AMR (Human-Environment-Animal Transdisciplinary AMR) Research Group, School of Public Health, University Of Alberta, Edmonton AB, Canada
2Antimicrobial Resistance - One Health Consortium, Canada
3Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada
4British Columbia Ministry of Agriculture, Food and Fisheries, BC, Canada
5Thematic Area Lead, Healthy Environments, Centre for Healthy Communities, School of Public Health, University of Alberta, Edmonton AB, Canada
"}],"DisplayName":"Kelsey Robertson","TimeDisplay":null},{"ContactId":"6b36c6c8-d958-4f36-b7fa-a9933a9bb150","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Barry","LastName":"Robinson","Position":"Senior Veterinary Officer","Organization":"Queensland Government","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Number of larval tanks used to stock prawn (shrimp) ponds on a Queensland farm affects daily feed allocation 72","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"3b0f07a0-e823-4352-9a1e-aaa088c6d663","Html":null,"PlainText":"Number of larval tanks used to stock prawn (shrimp) ponds on a Queensland farm affects daily feed allocation
Key words: prawns shrimp Queensland hatchery productivity
A complicated throughput of brood-stock and larvae prior to stocking, a dynamic grow out environment and small sample size (n = 47) makes it difficult to identify upstream factors that may affect pond productivity.
Objective: The objective was to determine whether the number of larval tanks contributing to pond stocking affects daily feed allocated to a pond from day 57 to 105 days post stocking. The null hypothesis is that there is no difference.
Materials and methods: In this retrospective cohort study, data was routinely measured and recorded by farm staff. Analysis was performed in r using a linear mixed model utilising maximum likelihood with pond as a random variable and the output updated with a first order autoregressive correlation structure to account for daily repeat measures. Potential confounding variables included feed type, geographic source of brood-stock, age measured as days from stocking and stock date as a 3-way categorical variable. The exposure was dichotomised as 1 or 2 tanks or more than 2 tanks.
Results: After accounting for feed type, source of brood-stock and age, ponds with post larvae sourced from more than 2 larval tanks had less feed allocated to them daily (estimate = -22.9 kg, p = 0.02)
Conclusion: Where ponds are stocked from a wider source of larval tanks, the risk of one tank containing a factor that affects pond productivity increases. This significant finding encourages further investigation into hatchery level factors. A two-sample t test gave similar results, thus suggesting a simpler analytical approach is adequate. Pond feed allocation between the start of feed monitoring and before partial harvesting commences is an acceptable surrogate for pond productivity.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3b0f07a0-e823-4352-9a1e-aaa088c6d663","Title":"Mr.","FirstName":"Barry","LastName":"Robinson","Position":"Senior Veterinary Officer","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Robinson B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3b0f07a0-e823-4352-9a1e-aaa088c6d663","Number":1,"Affiliation":"Department of Agriculture And Fisheires","City":"Townsville","State":"QLD","Country":"Australia","AffiliationDisplay":"Department of Agriculture And Fisheires, Townsville QLD, Australia"}],"AuthorsHtml":"Robinson B1","AffiliationsHtml":"
1Department of Agriculture And Fisheires, Townsville QLD, Australia
"}],"DisplayName":"Barry Robinson","TimeDisplay":null},{"ContactId":"5b6fade1-b24b-459a-8b50-fb257f5774a3","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kristina","LastName":"Roesel","Position":"Scientist","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ff3b7b71227a4af3a29f44741ed69716","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"kristinaroesel ilri ohreca_ilri","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/kristina-roesel-7a06b832","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"kristinaroesel ilri ohreca_ilri","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/kristina-roesel-7a06b832","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=kristinaroesel ilri ohreca_ilri","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/kristina-roesel-7a06b832","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=kristinaroesel ilri ohreca_ilri","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/kristina-roesel-7a06b832","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"A systematic review and meta-analysis of the aetiological agents of non-malarial febrile illnesses in Africa","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Html":null,"PlainText":"Objectives
The awareness of non-malarial febrile illnesses (NMFIs) has been on the rise over the last decades. Therefore, we undertook a systematic literature review and meta-analysis of causative agents of non-malarial fevers on the African continent.

Materials and methods
We searched for literature in African Journals Online, EMBASE, PubMed, Scopus, and Web of Science databases to identify aetiologic agents that had been reported and to determine summary estimates of the proportional morbidity rates (PMr) associated with these pathogens among fever patients.

Results
A total of 133 studies comprising 391,835 patients from 25 of the 54 African countries were eligible. A wide array of aetiologic agents were described with considerable regional differences among the leading agents. Overall, bacterial pathogens tested from blood samples accounted for the largest proportion. The summary estimates from the meta-analysis were low for most of the agents. This may have resulted from a true low prevalence of the agents, the failure to test for many agents or the low sensitivity of the diagnostic methods applied. Our meta-regression analysis of study and population variables showed that diagnostic methods determined the PMr estimates of typhoidal Salmonella and Dengue virus. An increase in the PMr of Klebsiella spp. infections was observed over time. Furthermore, the status of patients as either inpatient or outpatient predicted the PMr of Klebsiella spp. infections.

Conclusion
The small number of epidemiological studies and the variety of NMFI agents on the African continent emphasizes the need for harmonized studies with larger sample sizes. In particular, diagnostic procedures for NMFIs should be standardized to facilitate comparability of study results and to improve future meta-analyses. Reliable NMFI burden estimates will inform regional public health strategies.

Key words: meta-regression, non-malarial febrile illnesses, pathogens, proportional morbidity rates, Africa","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Title":"Mr.","FirstName":"Martin","LastName":"Wainaina","Position":null,"Affiliations":"1,2,3","IsPresenting":false,"SortOrder":1,"DisplayName":"Wainaina M"},{"PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Title":"Mr.","FirstName":"Ian","LastName":"Dohoo","Position":"Professor Emeritus","Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Dohoo I"},{"PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Title":"Prof.","FirstName":"Uwe","LastName":"Roesler","Position":"University Professor","Affiliations":"5","IsPresenting":false,"SortOrder":3,"DisplayName":"Roesler U"},{"PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Title":"Dr.","FirstName":"Bernard","LastName":"Bett","Position":"Senior Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Bett B"},{"PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Title":"Prof.","FirstName":"Sascha","LastName":"Al Dahouk","Position":"Head of Unit Product Hygiene and Disinfection Strategies","Affiliations":"1,6","IsPresenting":false,"SortOrder":5,"DisplayName":"Al Dahouk S"},{"PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Title":"Ms.","FirstName":"Kristina","LastName":"Roesel","Position":"Scientist","Affiliations":"3","IsPresenting":true,"SortOrder":6,"DisplayName":"Roesel K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Number":1,"Affiliation":"German Federal Institute for Risk Assessment","City":null,"State":"Berlin","Country":"Germany","AffiliationDisplay":"German Federal Institute for Risk Assessment, Berlin, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Number":2,"Affiliation":"Dahlem Research School, Freie Universitaet Berlin","City":"Berlin","State":null,"Country":"Germany","AffiliationDisplay":"Dahlem Research School, Freie Universitaet Berlin, Berlin, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Number":3,"Affiliation":"International Livestock Research Institute","City":null,"State":"Nairobi","Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Number":4,"Affiliation":"University of Prince Edward Island","City":null,"State":"Charlottetown","Country":"Canada","AffiliationDisplay":"University of Prince Edward Island, Charlottetown, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Number":5,"Affiliation":"Institute for Animal Hygiene and Environmental Health, Freie Universitaet Berlin","City":null,"State":"Berlin","Country":"Germany","AffiliationDisplay":"Institute for Animal Hygiene and Environmental Health, Freie Universitaet Berlin, Berlin, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4256e26d-a1e6-4e2a-97f9-10f5053483b7","Number":6,"Affiliation":"RWTH Aachen University","City":null,"State":"Aachen","Country":"Germany","AffiliationDisplay":"RWTH Aachen University, Aachen, Germany"}],"AuthorsHtml":"Wainaina M1,2,3, Dohoo I4, Roesler U5, Bett B3, Al Dahouk S1,6, Roesel K3","AffiliationsHtml":"
1German Federal Institute for Risk Assessment, Berlin, Germany
2Dahlem Research School, Freie Universitaet Berlin, Berlin, Germany
3International Livestock Research Institute, Nairobi, Kenya
4University of Prince Edward Island, Charlottetown, Canada
5Institute for Animal Hygiene and Environmental Health, Freie Universitaet Berlin, Berlin, Germany
6RWTH Aachen University, Aachen, Germany
"},{"Title":"Spatio-temporal cluster analysis and transmission drivers for Peste des Petits Ruminants in Uganda","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3dd96aae-c056-47a7-845d-58850ffa093f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Html":null,"PlainText":"Peste des Petits Ruminants (PPR) is a transboundary, highly contagious, and fatal disease of small ruminants. PPR causes global annual economic losses of between USD 1.5-2.0 billion across more than 70 affected countries. Despite the commercial availability of effective PPR vaccines, lack of financial and technical commitment to PPR control coupled with a dearth of refined PPR risk profiling data in different endemic countries has perpetuated PPR virus transmission. In Uganda, over the past five years, PPR has extended from north-eastern Uganda (Karamoja) with sporadic incursions in other districts.

To identify disease cluster hotspot trends that would facilitate the design and implementation of PPR risk-based control methods (including vaccination), we employed the space-time cube approach to identify trends in the clustering of outbreaks in neighbouring space-time cells. We also used negative binomial and logistic regression models.

We identified high small ruminant density, extended road length, low annual precipitation and high soil water index as the most important drivers of PPR in Uganda. The study identified (with 90 - 99% confidence) five PPR disease hotspot trend categories across subregions of Uganda. Diminishing hotspots were identified in the Karamoja region whereas consecutive, sporadic, new, and emerging hotspots were identified in central and southwestern districts of Uganda.

Inter-district and cross-border small ruminant movement facilitated by longer road stretches and animal comingling precipitate PPR outbreaks as well as PPR virus spread from its initial Karamoja focus to the central and south-western Uganda. There is therefore urgent need to prioritize considerable vaccination coverage to obtain the required herd immunity among small ruminants in the new hotspot areas to block transmission to further emerging hotspots. Findings of this study provide a basis for more robust timing and prioritization of control measures including vaccination.

Key words: Peste des Petits Ruminants, Uganda, Hotspots, Transmission drivers, Regression models, ArcGIS
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Mr.","FirstName":"Joseph","LastName":"Nkamwesiga","Position":"Phd Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Nkamwesiga J"},{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Dr.","FirstName":"Fedor","LastName":"Korennoy","Position":"Scientist","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Korennoy F"},{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Dr","FirstName":"Paul","LastName":"Lumu","Position":"Senior Veterinary Officer","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Lumu P"},{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Dr","FirstName":"Henry","LastName":"Kiara","Position":"Senior Scientist","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Kiara H"},{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Ms.","FirstName":"Kristina","LastName":"Roesel","Position":"Scientist","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Roesel K"},{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Dr","FirstName":"Peninah","LastName":"Nsamba","Position":"Lecturer","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Nsamba P"},{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Prof.","FirstName":"Frank Norbert","LastName":"Mwiine","Position":"Dean","Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Mwiine F"},{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Dr","FirstName":"Barbara","LastName":"Wieland","Position":"Principal Scientist","Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Wieland B"},{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Dr","FirstName":"Dennis","LastName":"Muhanguzi","Position":"Senior Lecturer","Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Muhanguzi D"},{"PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Title":"Prof","FirstName":"Andres","LastName":"Perez","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":10,"DisplayName":"Perez A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Number":1,"Affiliation":"International Livestock Research Institute (ILRI))","City":"Kampala","State":"Kampala","Country":"Uganda","AffiliationDisplay":"International Livestock Research Institute (ILRI)), Kampala Kampala, Uganda"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e2f3d2b4-c0bd-424c-8d3a-262937e90a2e","Number":2,"Affiliation":"Dahlem Research School of Biomedical Sciences, Department of Veterinary Medicine, Freie Universität Berlin","City":"Oertzenweg ","State":"Berlin","Country":"Germany","AffiliationDisplay":"Dahlem Research School of Biomedical Sciences, Department of Veterinary Medicine, Freie Universität Berlin, Oertzenweg Berlin, Germany"}],"AuthorsHtml":"Nkamwesiga J1, Korennoy F, Lumu P, Kiara H, Roesel K, Nsamba P, Mwiine F, Wieland B, Muhanguzi D, Perez A","AffiliationsHtml":"
1International Livestock Research Institute (ILRI)), Kampala Kampala, Uganda
2Dahlem Research School of Biomedical Sciences, Department of Veterinary Medicine, Freie Universität Berlin, Oertzenweg Berlin, Germany
"}],"DisplayName":"Kristina Roesel","TimeDisplay":null},{"ContactId":"05a95f28-3c4d-46bd-8d3d-3dee530da714","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Susan","LastName":"Rogers Van Katwyk","Position":"Managing Director","Organization":"Global Strategy Lab, York University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8568f97b5dfd427fa37d0cc7092d40ca","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Susan Rogers Van Katwyk is the Managing Director of the WHO Collaborating Centre on Global Governance of Antimicrobial Resistance at York University. Susan’s research focuses on strengthening the scientific evidence base to generate actionable evidence-informed policy recommendations for global health threats that require global collective action. She has a track record of innovative and impactful research to improve policy implementation, evaluation and decision-making at the national and international levels. Susan also has substantial experience directly engaging in the policy process, working with several national governments, and UN agencies, including UNAIDS, WHO, and FAO. Her research has been published in leading medical journals, including BMJ, PLOS Medicine, and The Lancet.

Susan has a PhD in Epidemiology from the University of Ottawa, and a first-class honours degree in Biochemistry and Women & Gender Studies from Mount Allison University.

","Presentations":[{"Title":"Keynote Presentation","Bio":"Susan Rogers Van Katwyk is the Managing Director of the WHO Collaborating Centre on Global Governance of Antimicrobial Resistance at York University. Susan’s research focuses on strengthening the scientific evidence base to generate actionable evidence-informed policy recommendations for global health threats that require global collective action. She has a track record of innovative and impactful research to improve policy implementation, evaluation and decision-making at the national and international levels. Susan also has substantial experience directly engaging in the policy process, working with several national governments, and UN agencies, including UNAIDS, WHO, and FAO. Her research has been published in leading medical journals, including BMJ, PLOS Medicine, and The Lancet. \r\n\r\nSusan has a PhD in Epidemiology from the University of Ottawa, and a first-class honours degree in Biochemistry and Women & Gender Studies from Mount Allison University. \r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"af6d9681-b193-467e-8ad8-bddbc5b546de","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"1_Special Session: Opening the Social Sciences umbrella to tackle AMR: lessons from human and animal health (ISESSAH)","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[],"Authors":[{"PresentationId":"b2301e81-a177-438d-879f-bb6b66f4dee9","Title":"Dr.","FirstName":"Susan","LastName":"Rogers Van Katwyk","Position":"Managing Director","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Rogers Van Katwyk S"}],"Affiliations":[],"AuthorsHtml":"Rogers Van Katwyk S","AffiliationsHtml":""}],"DisplayName":"Susan Rogers Van Katwyk","TimeDisplay":null},{"ContactId":"1f0cb0d0-42e8-4e77-bb93-47da2a717dac","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lisa","LastName":"Rogoll","Position":"Doctoral Student","Organization":"Friedrich-Loeffler-Institut","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/45263f09ed584ec697fda17e8463d447","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/lisa-rogoll-835b471a3","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/lisa-rogoll-835b471a3","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/lisa-rogoll-835b471a3","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/lisa-rogoll-835b471a3","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Seasonal occurrence of African swine fever in domestic pigs and wild boar in Europe","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4494347e-0d84-4bd8-b95a-2822b218f248","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"0de9ee9f-504c-4004-b8f9-49f3de44ea47","Html":null,"PlainText":"Objectives
African swine fever (ASF) has spread widely within Europe. Most affected countries have outbreaks in both, domestic pigs and wild boar. In particular, outbreaks in domestic pigs were frequently reported in summer. The aim of the current study was to investigate the seasonal pattern of ASF in domestic pigs and wild boar across affected countries in Europe.

Material and Methods
Outbreak data from ADNS, the animal disease notification system of the EU, which was in place until April 2021, and its successor, ADIS (animal disease information system), were used. The name of the country, the species affected (domestic pigs or wild boar), and the date of detection were extracted. Detection dates were aggregated to monthly intervals. The seasonality of domestic pigs and wild boar reports was examined separately for each affected country to identify differences.

Results
In domestic pigs, similar patterns were observed, with outbreaks mainly reported in the summer months (June to September, predominantly in July and August). This pattern was evident in all countries, regardless of the number of cases reported. In wild boar, the monthly pattern of disease reports was not uniform amongst the examined countries. Wild boar ASF reports in the Baltic States showed, in addition to an accumulation of cases in winter, also increased case numbers during summer months, which was not recognizable in other affected countries.

Conclusion
Knowledge on the seasonal pattern of ASF occurrence provides the potential to adapt control or prevention measures, like increasing biosecurity measures during certain times of high risk. Knowledge on potential seasonal patterns in wild boar will enable targeted surveillance for the detection of disease in previously unaffected areas and detection of spread in affected areas.

Keywords
African swine fever, seasonality, surveillance, domestic pigs, wild boar
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0de9ee9f-504c-4004-b8f9-49f3de44ea47","Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Sauter-Louis C"},{"PresentationId":"0de9ee9f-504c-4004-b8f9-49f3de44ea47","Title":"Ms","FirstName":"Ann-Kathrin","LastName":"Güttner","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Güttner A"},{"PresentationId":"0de9ee9f-504c-4004-b8f9-49f3de44ea47","Title":"Dr.","FirstName":"Hannes","LastName":"Bergmann","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Bergmann H"},{"PresentationId":"0de9ee9f-504c-4004-b8f9-49f3de44ea47","Title":"Dr.","FirstName":"Katja","LastName":"Schulz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Schulz K"},{"PresentationId":"0de9ee9f-504c-4004-b8f9-49f3de44ea47","Title":"Prof.","FirstName":"Franz-Josef","LastName":"Conraths","Position":"Head of Department","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Conraths F"},{"PresentationId":"0de9ee9f-504c-4004-b8f9-49f3de44ea47","Title":"Ms.","FirstName":"Lisa","LastName":"Rogoll","Position":"Doctoral Student","Affiliations":null,"IsPresenting":true,"SortOrder":5,"DisplayName":"Rogoll L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0de9ee9f-504c-4004-b8f9-49f3de44ea47","Number":1,"Affiliation":"Friedrich-Loeffler-Institut","City":"Greifswald - Isle of Riems","State":"Germany","Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler-Institut, Greifswald - Isle of Riems Germany, Germany"}],"AuthorsHtml":"Sauter-Louis C1, Güttner A1, Bergmann H1, Schulz K1, Conraths F1, Rogoll L","AffiliationsHtml":"
1Friedrich-Loeffler-Institut, Greifswald - Isle of Riems Germany, Germany
"},{"Title":"Where to look for ASF-infected wild boar carcasses: Identification of predilection sites in the landscape","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Html":null,"PlainText":"Removing carcasses of wild boar infected with African swine fever (ASF) is essential for the successful control of the disease. However, the search for carcasses is a resource-consuming activity. To examine if landscape characteristics influence the probability of finding ASF-positive carcasses and if the search can thus be focused on certain areas, we examined over 12,000 GPS coordinates of wild boar carcasses found in Latvia. The data were extracted from the CSF / ASF Wild Boar surveillance database.

GIS programs were used to determine the landscape type and composition at the finding sites and to measure distances of the carcasses to the nearest waterbodies, forest edges, roads, and settlements. To put the results into proportion to the general landscape composition of Latvia, 10,000 random geo-positions were created and analysed likewise. The methodology was validated by a manual analysis of a smaller sample.

Wild boar carcasses were found predominantly in forested areas and closer to waterbodies and forest edges than random positions. This corresponds to the habitat preferred by wild boar. ASF-positive carcasses were found statistically significantly more often in transitional areas between forest and scrub and at greater distances from roads and settlements than negative carcasses and random positions. These results indicate that ASF-infected animals seek shelter in calm areas further away from human activities. The comparison of the manual and automated method showed that the automated analysis is well suited for the analysis of larger samples, but a slight loss of detail must be considered.

Recommendations for a systematic and resource-saving search strategy can be derived from the results of this study. However, for a more accurate characterization of potential predilection sites for the carcass search, the environmental surroundings of carcass finding sites need to be documented.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Title":null,"FirstName":"K.","LastName":"Lamberga","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":0,"DisplayName":"Lamberga K"},{"PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Title":null,"FirstName":"M.","LastName":"Serzants","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":0,"DisplayName":"Serzants M"},{"PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Title":null,"FirstName":"E.","LastName":"Oļševskis","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":0,"DisplayName":"Oļševskis E"},{"PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Title":"Ms.","FirstName":"Lisa","LastName":"Rogoll","Position":"Doctoral Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Rogoll L"},{"PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Title":"Dr.","FirstName":"Katja","LastName":"Schulz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Schulz K"},{"PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Title":"Dr. med. vet","FirstName":"Christoph","LastName":"Staubach","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Staubach C"},{"PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Title":"Prof. Dr. med. vet.","FirstName":"Franz Josef","LastName":"Conraths","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Conraths F"},{"PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Sauter-Louis C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Number":1,"Affiliation":"Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology","City":"Südufer 10, 17493 Greifswald-Insel Riems","State":null,"Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, 17493 Greifswald-Insel Riems, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f16aa67-81ed-49b3-8b28-bcaa85f0cf81","Number":2,"Affiliation":"Food and Veterinary Service","City":"Riga","State":"Peldu 30","Country":"Latvia","AffiliationDisplay":"Food and Veterinary Service, Riga Peldu 30, Latvia"}],"AuthorsHtml":"Lamberga K2, Serzants M2, Oļševskis E2, Rogoll L1, Schulz K1, Staubach C1, Conraths F1, Sauter-Louis C1","AffiliationsHtml":"
1Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, 17493 Greifswald-Insel Riems, Germany
2Food and Veterinary Service, Riga Peldu 30, Latvia
"}],"DisplayName":"Lisa Rogoll","TimeDisplay":null},{"ContactId":"42c4e57e-f871-40e0-8d35-cc38259fd962","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"João","LastName":"Romero","Position":null,"Organization":"University of Prince Edward Island","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Simulating the economic effects of infectious salmon anaemia outbreak management in expanding salmon aquaculture operations","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"59a6345c-0a5e-4145-929d-90dd09b5ca21","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"06324582-d3e4-4ec5-ab79-d68321ae5029","Html":null,"PlainText":"Objectives: The objective of this research was to assess the cost and effectiveness of viral outbreak mitigation approaches in salmon aquaculture at different production capacity levels. Specifically, we aimed to determine (i) how stocking options in marine aquaculture contribute to viral infection transmission and (ii) the costs incurred by potential viral outbreaks and subsequent management interventions.
Material and methods: We simulated the waterborne spread of a highly virulent infectious salmon anaemia virus (ISAv) variant among a population of farmed Atlantic salmon (Salmo salar L.) in Newfoundland and Labrador (NL), Canada. The model incorporated ISAv management interventions, reflecting protocols implemented in NL. Different scenarios of varying production capacity were explored, as per (i) 25% and 50% increase in fish stocking levels in existing farms and (ii) 20% and 40% increase in active farms in the region. Magnitudes of simulated ISAv outbreaks were quantified in terms of number of infected farms and net-pens. Costs associated with ISAv surveillance and detection, and depopulation of infected stocks were tallied for each scenario.
Results: This research quantifies the economic implications of potential outbreaks and their eradication. Comparisons between model scenario results are expected to demonstrate that magnitudes of ISAv outbreaks and costs thereof increase with increasing aquaculture production capacity, under the same disease mitigation approach. We hypothesize that adding new active farms will contribute to ISAv spread at a greater extent than the increment in fish stocking levels in existing farms.
Conclusion: Simulation modelling provides a resource-sparing tool to explore hypothetical scenarios and support decision-making in the planning of new options for aquaculture operations. Intensification of production capacity in aquaculture requires careful planning and matching reinforcements for disease prevention and control to safeguard investments and prevent costs associated with outbreak mitigation. Here we identify a cost-effective approach to minimize infection spread when increasing aquaculture production.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"06324582-d3e4-4ec5-ab79-d68321ae5029","Title":"Dr.","FirstName":"João","LastName":"Romero","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Romero J"},{"PresentationId":"06324582-d3e4-4ec5-ab79-d68321ae5029","Title":"Dr.","FirstName":"Ian","LastName":"Gardner","Position":"Faculty","Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Gardner I"},{"PresentationId":"06324582-d3e4-4ec5-ab79-d68321ae5029","Title":"Dr.","FirstName":"David","LastName":"Groman","Position":"Faculty","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Groman D"},{"PresentationId":"06324582-d3e4-4ec5-ab79-d68321ae5029","Title":"Mr.","FirstName":"Krishna","LastName":"Thakur","Position":"Assistant Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Thakur K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"06324582-d3e4-4ec5-ab79-d68321ae5029","Number":1,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"06324582-d3e4-4ec5-ab79-d68321ae5029","Number":2,"Affiliation":"Centre for Veterinary Epidemiological Research, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Centre for Veterinary Epidemiological Research, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"06324582-d3e4-4ec5-ab79-d68321ae5029","Number":3,"Affiliation":"Aquatic Diagnostic Services, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Aquatic Diagnostic Services, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"}],"AuthorsHtml":"Romero J1,2, Gardner I1,2, Groman D3, Thakur K1,2","AffiliationsHtml":"
1Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
2Centre for Veterinary Epidemiological Research, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
3Aquatic Diagnostic Services, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
"}],"DisplayName":"João Romero","TimeDisplay":null},{"ContactId":"8cc168d7-f767-484b-86f2-174a3460f2d0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Grim","LastName":"Rømo","Position":"Researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"An outbreak of maedi in Trøndelag, Norway, in 2019-2020","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3dd96aae-c056-47a7-845d-58850ffa093f","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Html":null,"PlainText":"Keywords: Maedi, outbreak, prevalence, management, eradication.

Objectives
Maedi is a notifiable disease in Norway, and eradicating the disease is a national goal. A national maedi surveillance programme was established after the first official report in 1972. Several outbreaks have occurred between this first detection and 2005. In July 2019, a new case of maedi was detected in a sheep herd in Central Norway that resulted in an outbreak investigation. Our objective was to describe the diagnosis and management response to this outbreak.

Materials and methods
Serum samples were examined for antibodies against small ruminant lentivirus using commercial ELISA kits. Lungs and lymph node samples of sheep in seropositive herds were examined. A nested PCR for the gag and env genes of small ruminant lentivirus with subsequent sequencing was performed on selected lungs.

Results
More than 30.000 blood samples were serologically investigated for lentivirus between 2019 and 2021. Nine herds were diagnosed with maedi. All the infected herds were located in the same county and had had contact through animal trade practices. The maedi/visna virus was confirmed with PCR in six of the herds. Sequencing and phylogenetic analysis of the virus showed a close genetic similarity to the virus found in the outbreak in the same area in 2002-2005. Within-herd seroprevalence showed large variation among the study herds. In total, 88 herds had restrictions imposed due to maedi from 2019 to 2020. Six herds with more than 5% seropositive animals were stamped out. In three affected herds with less than 5% seropositive animals, only the positive animals and their offspring were slaughtered.

Conclusions
To eradicate maedi a more sensitive and specific diagnostic method, and an improved and more targeted surveillance are needed. We highlight the need to explore biosecurity practices in the affected herds that could be associated with the outbreak.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Mr.","FirstName":"Grim","LastName":"Rømo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Rømo G"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Dr.","FirstName":"Johan","LastName":"Åkerstedt","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Åkerstedt J"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Dr.","FirstName":"Anne","LastName":"Bang Nordstoga","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Bang Nordstoga A"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Ms.","FirstName":"Anniken","LastName":"Jerre","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Jerre A"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Dr.","FirstName":"Helene","LastName":"Wisløff","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Wisløff H"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Dr.","FirstName":"Britt","LastName":"Gjerset","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Gjerset B"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Dr.","FirstName":"Siv","LastName":"Klevar","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Klevar S"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Ms.","FirstName":"Irene","LastName":"Skei Mjømen","Position":"senior inspector","Affiliations":"2","IsPresenting":false,"SortOrder":8,"DisplayName":"Skei Mjømen I"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Ms.","FirstName":"Elisabeth","LastName":"Schei-Berg","Position":"senior adviser","Affiliations":"2","IsPresenting":false,"SortOrder":9,"DisplayName":"Schei-Berg E"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Dr.","FirstName":"Synnøve","LastName":"Vatn","Position":"Head of contigency planning","Affiliations":"3","IsPresenting":false,"SortOrder":10,"DisplayName":"Vatn S"},{"PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Title":"Dr.","FirstName":"Annette","LastName":"Hegermann Kampen","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":11,"DisplayName":"Hegermann Kampen A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Number":1,"Affiliation":"Norwegian Veterinary Institute","City":"Trondheim","State":"Trøndelag","Country":"Norway","AffiliationDisplay":"Norwegian Veterinary Institute, Trondheim Trøndelag, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Number":2,"Affiliation":"Norwegian Food Safety Authority","City":"Oslo","State":"Oslo","Country":"Norway","AffiliationDisplay":"Norwegian Food Safety Authority, Oslo Oslo, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4b591e2c-ddd7-48c9-9f15-cdfb8edc9c81","Number":3,"Affiliation":"Animalia AS","City":"Oslo","State":"Oslo","Country":"Norway","AffiliationDisplay":"Animalia AS, Oslo Oslo, Norway"}],"AuthorsHtml":"Rømo G1, Åkerstedt J1, Bang Nordstoga A1, Jerre A1, Wisløff H1, Gjerset B1, Klevar S1, Skei Mjømen I2, Schei-Berg E2, Vatn S3, Hegermann Kampen A1","AffiliationsHtml":"
1Norwegian Veterinary Institute, Trondheim Trøndelag, Norway
2Norwegian Food Safety Authority, Oslo Oslo, Norway
3Animalia AS, Oslo Oslo, Norway
"}],"DisplayName":"Grim Rømo","TimeDisplay":null},{"ContactId":"de581137-e465-4c7f-aed9-524bfac66cae","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Liza","LastName":"Rosenbaum Nielsen","Position":"Professor in Veterinary Preventive Medicine","Organization":"University of Copenhagen","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/liza-rosenbaum-nielsen-b4a69a3","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/liza-rosenbaum-nielsen-b4a69a3","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/liza-rosenbaum-nielsen-b4a69a3","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/liza-rosenbaum-nielsen-b4a69a3","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":"Liza Rosenbaum Nielsen conducts research and project leadership, teaching and supervision, scientific advisory consultancy and research evaluation within epidemiology, surveillance and control of infectious animal diseases and zoonoses. She was involved in the development of the evaluation framework and tools generated by the Network for Evaluation of One Health (NEOH, an EU COST Action) and has applied the framework in a One Health initiative in Bolivia. She works with systems thinking and sustainability of animal-based food production systems in her current research projects.

","Presentations":[{"Title":"Adaptability, learning and sharing in One Health initiatives to improve systems thinking and strengthen collaboration between silo-organised health systems","Bio":"Liza Rosenbaum Nielsen conducts research and project leadership, teaching and supervision, scientific advisory consultancy and research evaluation within epidemiology, surveillance and control of infectious animal diseases and zoonoses. She was involved in the development of the evaluation framework and tools generated by the Network for Evaluation of One Health (NEOH, an EU COST Action) and has applied the framework in a One Health initiative in Bolivia. She works with systems thinking and sustainability of animal-based food production systems in her current research projects. \r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"ed4700f7-6271-44a5-b203-964660bc4356","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"2_Special Session Part 1: Systems Approaches to Promote Better Health for Animals, People and Ecosystems","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"269ef87f-dc21-4bc6-8893-2beccb9c1be2","Html":null,"PlainText":"The “Network for Evaluation of One Health” (NEOH) developed a systems thinking-based framework with tools for evaluation One Health (OH) initiatives. It calls for a thorough understanding of the context with key system dimensions and drivers underlying a given initiative aiming to tackle complex health challenges, often in highly dynamic socio-ecosystems.

Objective
This presentation aims to reflect on various system features that may affect, and may be affected by OH-initiatives, including research, development, educational or surveillance activities. Particular emphasis is placed on benefits and challenges of ensuring adaptability in project implementation, along with learning and sharing activities in such initiatives.

Materials and methods
NEXTCAP is an on-going civil society development project aiming to build capacities and advocate for improved OH in rural Bolivian Amazon communities. The initiative is coordinated locally by an NGO Teko Kavi in La Paz and led by a Danish Civil Society Organisation DIB. University of Copenhagen is consulting on research elements and evaluates the processes and OH outcomes using the NEOH framework on NEXTCAP.

Results
After an initial NEOH evaluation, the focus was increased on learning activities in NEXTCAP. The initiative was successful, even during the crisis of the COVID-19 pandemic, due to its adaptability. Trust and new connections are built between important health institutions, environmental drivers of disease are better understood, and engaging learning approaches are used to perform research and share knowledge and awareness among indigenous and other rural communities.

Conclusion
Collaborative, learning-based OH-initiatives with citizen science elements may improve health in challenged ecosystems.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"269ef87f-dc21-4bc6-8893-2beccb9c1be2","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9c8f714009534f4093b7677e94308a46","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"269ef87f-dc21-4bc6-8893-2beccb9c1be2","Title":"Prof.","FirstName":"Liza","LastName":"Rosenbaum Nielsen","Position":"Professor in Veterinary Preventive Medicine","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Rosenbaum Nielsen L"},{"PresentationId":"269ef87f-dc21-4bc6-8893-2beccb9c1be2","Title":"MSc DVM","FirstName":"Erika","LastName":"Alandia Robles","Position":"Project coordinator","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Alandia Robles E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"269ef87f-dc21-4bc6-8893-2beccb9c1be2","Number":1,"Affiliation":"University of Copenhagen","City":"Frederiksberg","State":null,"Country":"Denmark","AffiliationDisplay":"University of Copenhagen, Frederiksberg, Denmark"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"269ef87f-dc21-4bc6-8893-2beccb9c1be2","Number":2,"Affiliation":"Teko Kavi Foundation","City":"La Paz","State":null,"Country":"Boliva","AffiliationDisplay":"Teko Kavi Foundation, La Paz, Boliva"}],"AuthorsHtml":"Rosenbaum Nielsen L1, Alandia Robles E2","AffiliationsHtml":"
1University of Copenhagen, Frederiksberg, Denmark
2Teko Kavi Foundation, La Paz, Boliva
"},{"Title":"A new epidemiological approach to assess reductions in animal suffering through systematic control of Salmonella Dublin in a cattle sector","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"2e5cf67a-5559-422f-9a78-2d83d80d539c","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"0bfb7227-8457-4ecc-a9ec-8940fcafe521","Html":null,"PlainText":"To improve decision-making on systematic disease control, a new approach was recently developed allowing for population-based assessment of animal welfare effect of infectious diseases in livestock.

Objective
To assess the impact of Salmonella Dublin on animal welfare in the Danish cattle population by applying the new method on two scenarios - with and without the ongoing comprehensive control programme, which has been in place for almost 20 years. The scenarios correspond to endemic, uncontrolled prevalence of 25% test-positive dairy herds, versus the current prevalence of 10% test-positive dairy herds.

Materials and methods
Four clinical entities for Salmonella Dublin manifestations (peracute, acute and chronic manifestation of infection, and abortion following acute infection) in different age-groups were identified in a literature review. Subsequently, “suffering scores” were based on aggregation of duration, frequency and severity for each clinical entity. Duration and severity were based on literature reviews and expert knowledge elicitation, while frequency was based on estimates from the literature. The suffering scores were summarised at the population level to compare the results for the two scenarios.

Results
The overall suffering score was estimated to 3-6*10^6 per 1 million cattle during a year under the uncontrolled scenario in the Danish cattle population. This was markedly lower than for e.g. bovine virus diarrhoea at 20-65*10^6 per 1 million cattle. With the control programme in place and at a prevalence of 10%, the suffering score was markedly reduced to 1.2-2.4*10^6 per 1 million cattle.

Conclusions
The Danish control programme has clearly reduced animal suffering associated with Salmonella Dublin-infections. Limitations of the approach relate to data availability and uncertainties in expert knowledge. Yet, it provide decision makers with quantitative assessments of the impact of infections on animal welfare and contributes to ongoing work on the burden of animal disease.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0bfb7227-8457-4ecc-a9ec-8940fcafe521","Title":"Prof.","FirstName":"Liza Rosenbaum","LastName":"Nielsen","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Nielsen L"},{"PresentationId":"0bfb7227-8457-4ecc-a9ec-8940fcafe521","Title":"Prof.","FirstName":"Hans","LastName":"Houe","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Houe H"},{"PresentationId":"0bfb7227-8457-4ecc-a9ec-8940fcafe521","Title":"Associate Professor","FirstName":"Jens Frederik","LastName":"Agger","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Agger J"},{"PresentationId":"0bfb7227-8457-4ecc-a9ec-8940fcafe521","Title":"Associate Professor","FirstName":"Matt","LastName":"Denwood","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Denwood M"},{"PresentationId":"0bfb7227-8457-4ecc-a9ec-8940fcafe521","Title":"Associate Professor","FirstName":"Nina Dam","LastName":"Otten","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Otten N"},{"PresentationId":"0bfb7227-8457-4ecc-a9ec-8940fcafe521","Title":"Prof.","FirstName":"Søren Saxmose","LastName":"Nielsen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Nielsen S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0bfb7227-8457-4ecc-a9ec-8940fcafe521","Number":1,"Affiliation":"University Of Copenhagen","City":"Frederiksberg C","State":"Copenhagen","Country":"Denmark","AffiliationDisplay":"University Of Copenhagen, Frederiksberg C Copenhagen, Denmark"}],"AuthorsHtml":"Nielsen L1, Houe H1, Agger J1, Denwood M1, Otten N1, Nielsen S1","AffiliationsHtml":"
1University Of Copenhagen, Frederiksberg C Copenhagen, Denmark
"}],"DisplayName":"Liza Rosenbaum Nielsen","TimeDisplay":null},{"ContactId":"4160683a-deb3-4190-bbff-bbe74126409b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Thomas","LastName":"Rosendal","Position":"Epidemiologist","Organization":"National Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/61a7f7bdf91b4a25bfdf3d7ea971207d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluating performance of Mycobacterium avium subsp. paratuberculosis surveillance using disease spread modelling.\r\n","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7e30a9c-236f-4ba3-b0a6-7c7cd4fd235d","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.D - Infectious Disease Modeling","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"8164a796-88a5-4a44-9172-0763696f2814","Html":null,"PlainText":"Objectives

The aim of this study was to define a model of the potential spread of Mycobacterium avium subsp. paratuberculosis (MAP) within and between Swedish cattle herds to investigate trade network features associated with spread. Also, to define a method for simulation of imperfect disease testing in a model and use this to evaluate MAP surveillance performance.

Materials and methods

A compartmental spread model was specified for Swedish cattle herds using the recorded trade network in the SimInf package in R. The within-herd spread model included 3 age categories and 4 disease states; and included horizontal and vertical transmission. Testing of individuals and herd-level testing was achieved by defining 'bookkeeping' compartments in the model for scheduling of testing and storing test results. The status of the tests were determined by the model states and the test performance. Infection was seeded in random herds to determine the key spreader herds, extent of the outbreak at surveillance detection and time to detection.

Results

The model was run over 12 years in 40349 herds with simulated bulk milk testing and individual animal testing. The model indicated that the spread was more extensive when the primary case was a dairy herd compared to a beef herd and that limited spread occurred between the two sectors. The surveillance by bulk milk detected the average outbreak starting in a dairy herd in 1.7 years and the average outbreaks originating in beef herds were undetected within the study period.

Conclusion

The spread of paratuberculosis in Sweden was determined to be limited by the sparse nature of the contact network and the slow disease spread. The proposed method for surveillance simulation will allow for simulation of interventions in herds following positive tests and optimisation of surveillance to meet design targets.

Key words
infectious disease modelling, simulation, surveillance evaluation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8164a796-88a5-4a44-9172-0763696f2814","Title":"Dr.","FirstName":"Thomas","LastName":"Rosendal","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Rosendal T"},{"PresentationId":"8164a796-88a5-4a44-9172-0763696f2814","Title":"Dr.","FirstName":"Stefan","LastName":"Widgren","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Widgren S"},{"PresentationId":"8164a796-88a5-4a44-9172-0763696f2814","Title":"Dr.","FirstName":"Karl","LastName":"Ståhl","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Ståhl K"},{"PresentationId":"8164a796-88a5-4a44-9172-0763696f2814","Title":"Dr.","FirstName":"Jenny","LastName":"Frössling","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Frössling J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8164a796-88a5-4a44-9172-0763696f2814","Number":1,"Affiliation":"National Veterinary Institute","City":"Uppsala","State":"Uppsala","Country":"Sweden","AffiliationDisplay":"National Veterinary Institute, Uppsala Uppsala, Sweden"}],"AuthorsHtml":"Rosendal T1, Widgren S1, Ståhl K1, Frössling J1","AffiliationsHtml":"
1National Veterinary Institute, Uppsala Uppsala, Sweden
"}],"DisplayName":"Thomas Rosendal","TimeDisplay":null},{"ContactId":"8a2d949a-5c6e-4cab-aee8-ac7f79b96201","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gianluigi","LastName":"Rossi","Position":"Senior Research Fellow","Organization":"University of Edinburgh","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"EpiGianRos","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"EpiGianRos","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=EpiGianRos","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=EpiGianRos","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Disentangling the dynamic of Mycobacterium bovis in Cameroon using whole genome sequencing","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"9404666d-fc4b-4fd8-8838-19254ba86308","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Html":null,"PlainText":"In recent years, the increased availability, efficiency and reliability of genomic reading techniques, such as whole-genome sequencing (WGS), has significantly increased the amount of information we can use to study infectious diseases. Currently, such techniques allow us to detect most pathogens and identify their measurably evolving populations. Furthermore, to study their DNA/RNA mutations from which transmission events between individual hosts, farms, locations or species can be inferred, both at the within-population and landscape scales. Taken together, this level of granularity provides the evolutionary trajectory of a pathogen to inform preparedness.

Given that inferences on transmission events are based on the genomic diversity of a pathogen, clonal bacterial species, such as Mycobacterium bovis with limited recombination, present specific challenges as the diversity of clones only change slowly with time. We examine these challenges and utility of genomic sequencing using Cameroon as an exemplar for a developing country setting. We use over 100 genomes from samples collected in abattoirs in two regions. We then matched these data with environmental, demographic, climatic and ecological factors, as well as a previously collected animal movements dataset in a phylodynamic model, in order to understand the dynamic of M. bovis in the country.

We show how transmission patterns and infection dynamics at the local and regional spatial scales can be revealed by integrating genomic data with the other predictive factors, even when there are limited numbers of mutations, limited sampling efforts and sparse metadata.

Finally, we make the case for the implementation of genomic surveillance in endemic infected population, both animals and humans, as well as for emerging outbreaks. While clear individual infection events might be still difficult to disentangle, these datasets offer a variety of insights which can be crucial to design effective control strategies.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Title":"Dr.","FirstName":"Gianluigi","LastName":"Rossi","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Rossi G"},{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Title":"Dr ","FirstName":"Franklyn ","LastName":"Egbe","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Egbe F"},{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Title":"Dr","FirstName":"Melissa","LastName":"Sander","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Sander M"},{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Title":"Dr","FirstName":"Lucy","LastName":"Ndip","Position":null,"Affiliations":"5,6","IsPresenting":false,"SortOrder":4,"DisplayName":"Ndip L"},{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Title":"Dr","FirstName":"Rob","LastName":"Kelly","Position":null,"Affiliations":"7","IsPresenting":false,"SortOrder":5,"DisplayName":"Kelly R"},{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Title":"Dr","FirstName":"Florian","LastName":"Duchatel","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Duchatel F"},{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Title":"Dr","FirstName":"Samantha J.","LastName":"Lycett","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":7,"DisplayName":"Lycett S"},{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Title":"Prof","FirstName":"Barend M. de C.","LastName":"Bronsvoort","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":8,"DisplayName":"Bronsvoort B"},{"PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Title":"Dr","FirstName":"Adrian","LastName":"Muwonge","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Muwonge A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Number":1,"Affiliation":"The Roslin Institute, University of Edinburgh","City":"Midlothian","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"The Roslin Institute, University of Edinburgh, Midlothian Scotland, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Number":2,"Affiliation":"EPIC","City":null,"State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"EPIC, Scotland, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Number":3,"Affiliation":"School of Life Sciences, University of Lincoln","City":"Lincoln","State":null,"Country":"United Kingdom","AffiliationDisplay":"School of Life Sciences, University of Lincoln, Lincoln, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Number":4,"Affiliation":"Tuberculosis Reference Laboratory, Center for Health Promotion and Research","City":"Bamenda","State":null,"Country":"Cameroon","AffiliationDisplay":"Tuberculosis Reference Laboratory, Center for Health Promotion and Research, Bamenda, Cameroon"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Number":5,"Affiliation":"Laboratory for Emerging Infectious Diseases, University of Buea","City":"Buea","State":null,"Country":"Cameroon","AffiliationDisplay":"Laboratory for Emerging Infectious Diseases, University of Buea, Buea, Cameroon"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Number":6,"Affiliation":"Department of Biomedical Sciences, University of Buea","City":"Buea","State":null,"Country":"Cameroon","AffiliationDisplay":"Department of Biomedical Sciences, University of Buea, Buea, Cameroon"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e06bc2f4-8754-4123-9fe6-1d430b5db6f4","Number":7,"Affiliation":"R(D)SVS, University of Edinburgh","City":"Midlothian","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"R(D)SVS, University of Edinburgh, Midlothian Scotland, United Kingdom"}],"AuthorsHtml":"Rossi G1,2, Egbe F3, Sander M4, Ndip L5,6, Kelly R7, Duchatel F1, Lycett S1,2, Bronsvoort B1,2, Muwonge A1","AffiliationsHtml":"
1The Roslin Institute, University of Edinburgh, Midlothian Scotland, United Kingdom
2EPIC, Scotland, United Kingdom
3School of Life Sciences, University of Lincoln, Lincoln, United Kingdom
4Tuberculosis Reference Laboratory, Center for Health Promotion and Research, Bamenda, Cameroon
5Laboratory for Emerging Infectious Diseases, University of Buea, Buea, Cameroon
6Department of Biomedical Sciences, University of Buea, Buea, Cameroon
7R(D)SVS, University of Edinburgh, Midlothian Scotland, United Kingdom
"}],"DisplayName":"Gianluigi Rossi","TimeDisplay":null},{"ContactId":"0d5b898c-8927-4201-a706-3f4014ca8fa1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ruwini","LastName":"Rupasinghe","Position":"","Organization":"University of California","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Descriptive epidemiology of canine and feline cancer in California, United States from 2000 to 2019","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c742a26-db6c-4465-98ff-d5984b272607","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"2c10f7f8-59a8-4eb0-ac8e-3dd6898e5fe5","Html":null,"PlainText":"Cancer is a leading cause of disease and death in middle to old-aged dogs and cats. Our objective was to document the epidemiological characteristics of major cancer types in a defined dog and cat population in California.

We assessed nine major cancer types, utilizing a subset of hospital records from the UC Davis Veterinary Medical Teaching Hospital from 2000 to 2019. Sarcoma, carcinoma, lymphoid neoplasia (LN), mast cell tumor (MCT), and melanoma were statistically evaluated by multivariable logistic regression with a p-value ≤ 0.05 considered statistically significant.

Our dataset contained 150,063 total patients (79.9% dogs and 20.1% cats) with 26,883 patients diagnosed with cancer, representing 18.1% and 17.0% of the total dog and cat hospital populations, respectively. Cancer incidences were highest in neutered and old animals but, the incidence was similar across breeds (purebred and mixed-breed) and genders in both species. LNs (34.1% versus 14.6%) and carcinomas (30.4% versus 20.7%) were more common in cats compared to dogs, while sarcomas were less common in cats (42.2%) than dogs (61.6%). Older age in both species and being spayed/neutered in dogs (except carcinomas) were important risk factors for any cancer. Furthermore, being male increased odds for sarcomas (OR=1.69;95%CI=1.44,1.98) and LNs (OR=1.59;95%CI=1.27,1.99) development in dogs. Mixed-breed cats were more likely to develop MCT (OR=2.04;95%CI=1.14,3.67). Odds ratios between spayed/neutered and intact dogs were higher in females than males with sarcomas (OR=1.38;95%CI=1.25,1.54 versus OR=1.10;95%CI=1.02,1.17), LNs (OR=1.43;95%CI=1.17,1.75 versus OR=1.04;95%CI=0.91,1.18), and MCT (OR=1.92;95%CI=1.46,2.54 versus OR=1.22;95%CI=1,1.48). However, male dogs were more likely to develop sarcomas (OR=1.69;95%CI=1.44,1.98) and LNs (OR=1.59;95%CI=1.27,1.99) if intact.

Our study contributed valuable insights into cancer distribution in cats and dogs in California. The data was limited to a single veterinary hospital; thus, a cancer registry would provide a more comprehensive picture of cancer epidemiology in dogs and cats.

Keywords: cancer incidence, logistic regression, dogs, cats","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2c10f7f8-59a8-4eb0-ac8e-3dd6898e5fe5","Title":"Dr.","FirstName":"Ruwini","LastName":"Rupasinghe","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Rupasinghe R"},{"PresentationId":"2c10f7f8-59a8-4eb0-ac8e-3dd6898e5fe5","Title":"Dr.","FirstName":"José Manuel","LastName":"Díaz-Cao","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Díaz-Cao J"},{"PresentationId":"2c10f7f8-59a8-4eb0-ac8e-3dd6898e5fe5","Title":"Professor","FirstName":"Michael","LastName":"Kent","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Kent M"},{"PresentationId":"2c10f7f8-59a8-4eb0-ac8e-3dd6898e5fe5","Title":"Professor","FirstName":"Beatriz","LastName":"Martínez-López","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Martínez-López B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c10f7f8-59a8-4eb0-ac8e-3dd6898e5fe5","Number":1,"Affiliation":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis","City":"Davis","State":"California","Country":"USA","AffiliationDisplay":"Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis California, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c10f7f8-59a8-4eb0-ac8e-3dd6898e5fe5","Number":2,"Affiliation":"Departamento de Patoloxía Animal, Facultade de Veterinaria de Lugo, Universidade de Santiago de Compostela","City":"Lugo","State":null,"Country":"Spain","AffiliationDisplay":"Departamento de Patoloxía Animal, Facultade de Veterinaria de Lugo, Universidade de Santiago de Compostela, Lugo, Spain"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2c10f7f8-59a8-4eb0-ac8e-3dd6898e5fe5","Number":3,"Affiliation":"Center for Companion Animal Health, Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis","City":"Davis","State":"California","Country":"USA","AffiliationDisplay":"Center for Companion Animal Health, Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis California, USA"}],"AuthorsHtml":"Rupasinghe R1, Díaz-Cao J1,2, Kent M3, Martínez-López B1","AffiliationsHtml":"
1Center for Animal Disease Modeling and Surveillance (CADMS), Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis California, USA
2Departamento de Patoloxía Animal, Facultade de Veterinaria de Lugo, Universidade de Santiago de Compostela, Lugo, Spain
3Center for Companion Animal Health, Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis California, USA
"}],"DisplayName":"Ruwini Rupasinghe","TimeDisplay":null},{"ContactId":"a9735de1-3d9f-4f68-872a-26585608bae4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Audrey","LastName":"Ruple","Position":"Associate Professor","Organization":"Virginia Tech","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eff46a09b057466590a5c5a970cf257a","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"audreyruple","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/dr-audrey-ruple","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"audreyruple","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/dr-audrey-ruple","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=audreyruple","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/dr-audrey-ruple","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=audreyruple","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/dr-audrey-ruple","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Quality of reporting of clinical trials in dogs and cats, Part 1: Baseline evaluation of completeness of reporting","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0cb57a4-e82b-4ad8-8753-62079f423f47","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ef3bf248-3acd-4f18-838b-ef9528228cd6","Html":null,"PlainText":"Objectives: To describe the types of clinical trials using dogs and cats published from 2015 to 2020 and to evaluate the quality of reporting in a sample of recently published parallel and crossover trials.
Methods: MEDLINE and CAB Direct were searched to identify parallel or crossover designed clinical trials using dogs and cats published after January 2015. Quality of reporting was evaluated on a subset of trials published during 2019. Two reviewers independently evaluated trials with respect to the completeness of reporting of items recommended in the CONSORT reporting guidelines for abstracts, parallel trials, and crossover trials. Disagreements between reviewers were resolved by consensus. Results were tabulated descriptively.
Results: Since 2015, the majority (933 / 1190; 78%) of trials had parallel intervention groups, with 257 / 1190 employing a crossover design. Considerable variability was evidence in the frequency with which trial features were reported across the trials. Infrequently reported items included delineation of the primary outcome, sample size justification, whether there were changes to interventions or outcomes after the trial commenced, whether allocation was concealed, whether analysis was by originally assigned groups, and whether there was an a priori protocol. Thus, there remain deficiencies in the quality of reporting of key methodological features and the information required to evaluate and interpret trial results.
Conclusions: There is a need for authors, peer-reviewers, and editors to follow reporting guidelines to maximize the value of clinical trials and to increase confidence in the validity of the trial results. Researchers may be more likely to adopt species-specific reporting guidelines for dogs and cats.

Keywords: reporting quality, clinical trials, dogs and cats","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ef3bf248-3acd-4f18-838b-ef9528228cd6","Title":"Dr.","FirstName":"Jan","LastName":"Sargeant","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Sargeant J"},{"PresentationId":"ef3bf248-3acd-4f18-838b-ef9528228cd6","Title":"Dr.","FirstName":"Sarah","LastName":"Totton","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Totton S"},{"PresentationId":"ef3bf248-3acd-4f18-838b-ef9528228cd6","Title":"Dr.","FirstName":"Ellen","LastName":"Vriezen","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Vriezen E"},{"PresentationId":"ef3bf248-3acd-4f18-838b-ef9528228cd6","Title":"Ms","FirstName":"Mikalya","LastName":"Plishka","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Plishka M"},{"PresentationId":"ef3bf248-3acd-4f18-838b-ef9528228cd6","Title":"Mx.","FirstName":"Audrey","LastName":"Ruple","Position":"Associate Professor","Affiliations":null,"IsPresenting":true,"SortOrder":5,"DisplayName":"Ruple A"},{"PresentationId":"ef3bf248-3acd-4f18-838b-ef9528228cd6","Title":"Dr.","FirstName":"Laura E.","LastName":"Selmic","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Selmic L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ef3bf248-3acd-4f18-838b-ef9528228cd6","Number":1,"Affiliation":"University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Sargeant J1, Totton S, Vriezen E, Plishka M, Ruple A, Selmic L","AffiliationsHtml":"
1University Of Guelph, Guelph ON, Canada
"},{"Title":"Quality of reporting of clinical trials in dogs and cats, Part 2: Introducing PETSORT reporting guidelines","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ca49d023-e62b-48fa-bc9b-0bb18e6536a2","Html":null,"PlainText":"Objectives
Comprehensive reporting of randomized clinical trials (RCTs) is essential for the reader to evaluate the methodological rigor of the trial and interpret the generalizability. The Consolidated Standards of Reporting Trials (CONSORT) statement and the REFLECT statement are available to provide guidance on reporting of published RCTs conducted in human and livestock populations, respectively. The objective of the PETSORT initiative is to create standardized guidelines to aid researchers in reporting RCTs conducted using dogs and cats.

Methods
A consensus group of 56 experts in clinical trial design, biostatistics, epidemiology, and subject matter specialists worked together to modify the CONSORT statement to reflect the unique aspects of reporting RCTs conducted in small animals. The guidelines were developed to be used for both parallel and cross-over trials.

Results
The consensus group work resulted in the production of the PETSORT statement for reporting RCTs in dogs and cats and a 25-item checklist that authors can use to ensure complete reporting. An accompanying explanation and elaboration document provides examples of complete reporting from dog or cat trials for each item, as well as detailed explanations of the importance of each item.

Conclusion
The use of the PETSORT statement, which addresses issues unique to companion animal trials, when designing and publishing RCTs should improve the quality of study design and reporting for trials conducted in dogs and cats.

Keywords: clinical trials, reporting guidelines, dogs and cats","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ca49d023-e62b-48fa-bc9b-0bb18e6536a2","Title":"Mx.","FirstName":"Audrey","LastName":"Ruple","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ruple A"},{"PresentationId":"ca49d023-e62b-48fa-bc9b-0bb18e6536a2","Title":"Dr.","FirstName":"Laura E.","LastName":"Selmic","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Selmic L"},{"PresentationId":"ca49d023-e62b-48fa-bc9b-0bb18e6536a2","Title":"Dr.","FirstName":"Jan","LastName":"Sargeant","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Sargeant J"},{"PresentationId":"ca49d023-e62b-48fa-bc9b-0bb18e6536a2","Title":"Ms.","FirstName":"Annette","LastName":"O'Connor","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"O'Connor A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ca49d023-e62b-48fa-bc9b-0bb18e6536a2","Number":1,"Affiliation":"Virginia-Maryland College of Veterinary Medicine","City":null,"State":null,"Country":"USA","AffiliationDisplay":"Virginia-Maryland College of Veterinary Medicine, USA"}],"AuthorsHtml":"Ruple A1, Selmic L, Sargeant J, O'Connor A","AffiliationsHtml":"
1Virginia-Maryland College of Veterinary Medicine, USA
"}],"DisplayName":"Audrey Ruple","TimeDisplay":null},{"ContactId":"54721c37-d82f-492f-a881-b63a96fe2cd5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/633f255b1eb34590beab552af459b91d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Jonathan Rushton is an agricultural economist who specialises in the economics of animal health and food systems. His principal research interests are the: Global Burden of Animal Diseases (GBADs) where he directs a global programme with OIE (https://animalhealthmetrics.org); economics of antimicrobial use and resistance in livestock; and assessment of the multidimensionality of food quality and public health. He is involved in the EU funded projects: ROADMAP (https://www.roadmap-h2020.eu) on the economics and social sciences of antimicrobial use in livestock; and DECIDE (https://decideproject.eu) on data-driven approached for the prioritisation and control of non-regulated diseases. Jonathan embraces One Health approaches in the search for solutions to society’s health problems.
Jonathan is professor of animal health and food systems economics at the Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, leads a University Centre of Excellence for Sustainable Food Systems (https://www.liverpool.ac.uk/centre-for-sustainable-food-systems/) and is part of the N8 Agrifood programme (http://www.n8research.org.uk). He is also adjunct Professor in the School of Behavioural, Cognitive & Social Sciences of the University of New England, Australia and founding president of the International Society for Economics and Social Sciences of Animal Health (http://www.isessah.com). In 2020 he became a Senior IIAD Fellow in Epidemiology at Texas A&M.

","Presentations":[{"Title":"Overview of the Global Burden of Animal Diseases (GBADs) programme","Bio":"Jonathan Rushton is an agricultural economist who specialises in the economics of animal health and food systems. His principal research interests are the: Global Burden of Animal Diseases (GBADs) where he directs a global programme with OIE (https://animalhealthmetrics.org); economics of antimicrobial use and resistance in livestock; and assessment of the multidimensionality of food quality and public health. He is involved in the EU funded projects: ROADMAP (https://www.roadmap-h2020.eu) on the economics and social sciences of antimicrobial use in livestock; and DECIDE (https://decideproject.eu) on data-driven approached for the prioritisation and control of non-regulated diseases. Jonathan embraces One Health approaches in the search for solutions to society’s health problems.\r\nJonathan is professor of animal health and food systems economics at the Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, leads a University Centre of Excellence for Sustainable Food Systems (https://www.liverpool.ac.uk/centre-for-sustainable-food-systems/) and is part of the N8 Agrifood programme (http://www.n8research.org.uk). He is also adjunct Professor in the School of Behavioural, Cognitive & Social Sciences of the University of New England, Australia and founding president of the International Society for Economics and Social Sciences of Animal Health (http://www.isessah.com). In 2020 he became a Senior IIAD Fellow in Epidemiology at Texas A&M.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"21fe1eff-9dc6-4af9-b559-f7a8d7816d9f","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"8_Special Session: Global Burden of Animal Disease","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"4a340ec1-6f80-42a7-acba-964e52a4b8d3","Html":null,"PlainText":"The Global Burden of Animal Diseases (GBADs) programme is a consortium of research and academic organisations co-led by the World Organisation of Animal Health (WOAH) and the University of Liverpool. GBADs is developing and implementing a systematic assessment of the burden of animal diseases and health problems.
GBADs has developed an overarching framework (see Figure). Livestock populations are split by species and where possible production systems with information generated on their biomass and the economic investment in animals. This is followed by an assessment of the gap in production due to disease and health issues, which has been called an animal health loss envelope (AHLE) that is made up of production loss and expenditure. The AHLE creates a boundary for the total burden for a livestock population and it can be attributed by cause and where possible risk factors. The assessments of the burden of diseases at farm-level will be used in sector and economy models to determine who in society is impacted by the burden. The information of the animal disease burden is also being explored in terms of impacts on human health with regards to zoonoses, AMR and nutrition. Data to generate the burden estimates and their impacts are gleaned from the academic literature, and public and private organisations. GBADs is working at a global level with country case studies.
The GBADs programme is in the proof-of-concept phase and is making early estimations of disease burdens at a global and national levels. The details of the data flows and analytic procedures will be outlined in the special session by the GBADs theme leads.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"4a340ec1-6f80-42a7-acba-964e52a4b8d3","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e9babc7c48f44d23b265a48595dae513","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"4a340ec1-6f80-42a7-acba-964e52a4b8d3","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Rushton J"},{"PresentationId":"4a340ec1-6f80-42a7-acba-964e52a4b8d3","Title":"Ms.","FirstName":"Edna Massay","LastName":"Kallon","Position":"WOAH Technical Lead - Global Burden of Animal Diseases","Affiliations":"3,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kallon E"},{"PresentationId":"4a340ec1-6f80-42a7-acba-964e52a4b8d3","Title":"Mr.","FirstName":"Benjamin","LastName":"Huntington","Position":"Programme Manager","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Huntington B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4a340ec1-6f80-42a7-acba-964e52a4b8d3","Number":1,"Affiliation":"University of Liverpool","City":null,"State":null,"Country":"United Kingdom","AffiliationDisplay":"University of Liverpool, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4a340ec1-6f80-42a7-acba-964e52a4b8d3","Number":2,"Affiliation":"GBADs","City":"https://animalhealthmetrics.org","State":null,"Country":null,"AffiliationDisplay":"GBADs, https://animalhealthmetrics.org"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4a340ec1-6f80-42a7-acba-964e52a4b8d3","Number":3,"Affiliation":"World Organisation of Animal Health","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"World Organisation of Animal Health, Paris, France"}],"AuthorsHtml":"Rushton J1,2, Kallon E3,2, Huntington B1,2","AffiliationsHtml":"
1University of Liverpool, United Kingdom
2GBADs, https://animalhealthmetrics.org
3World Organisation of Animal Health, Paris, France
"},{"Title":"What is the gap between achieved and ideal production in livestock? A swine example","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"59a6345c-0a5e-4145-929d-90dd09b5ca21","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"26b133ab-dddd-4d6c-a3d7-0861ba6a4751","Html":null,"PlainText":"Objectives
Livestock provide animal source protein, nutritional, social and economic security for people across the globe, particularly for those living in low-and-middle-income countries and marginalised communities. Despite this reliance on livestock, animal health infrastructure and services in these communities remain inadequate and underfunded. The Global Burden of Diseases (GBADs) programme will provide evidence to support investment decision-making for livestock health, ensuring efficient resource use. Within the GBADs analytical framework, the Animal Health Loss Envelope (AHLE) is calculated to establish production loss in livestock sectors, relative to an ideal scenario and once calculated it can be attributed to health issues and accidents, providing a tool to estimate their impacts across the economy.

Materials and methods
Data from intensive USA and UK swine and poultry growing units were collected and fitted into multivariable mixed regression models to begin estimating the AHLE in these systems. Production rates including growth, food conversion and mortality were estimated using management (month of placement etc) and health (vaccine status, antimicrobial use, lesions etc) variables, with year and producer fitted as random effects.

Results
Fitted models were used to predict ideal livestock production-levels for these populations and current performance-levels relative to ideal. Variables explaining the largest proportion of production variation were then be used to identify where investments should be made to improve production. Month of placement and porcine reproductive and respiratory syndrome status of sow herds contributed most to variability in average daily gain and food conversion.

Conclusion
Intensive production data can be used to estimate losses in production across industries, between producers and between batches within producers. The more data we have made available on management and health related factors that affect production, the closer we can get to estimating optimal production levels for these systems, and most importantly, the major factors causing deviation from optimal.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"26b133ab-dddd-4d6c-a3d7-0861ba6a4751","Title":"Dr.","FirstName":"Gemma","LastName":"Chaters","Position":"Analyst","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Chaters G"},{"PresentationId":"26b133ab-dddd-4d6c-a3d7-0861ba6a4751","Title":"Ms.","FirstName":"K. Marie","LastName":"McIntyre","Position":"Senior Analyst","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"McIntyre K"},{"PresentationId":"26b133ab-dddd-4d6c-a3d7-0861ba6a4751","Title":"Dr","FirstName":"William","LastName":"Gilbert","Position":"Postdoctoral Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Gilbert W"},{"PresentationId":"26b133ab-dddd-4d6c-a3d7-0861ba6a4751","Title":"Dr.","FirstName":"James","LastName":"Taylor","Position":"Analyst","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Taylor J"},{"PresentationId":"26b133ab-dddd-4d6c-a3d7-0861ba6a4751","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Rushton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26b133ab-dddd-4d6c-a3d7-0861ba6a4751","Number":1,"Affiliation":"University Of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"University Of Liverpool, Liverpool, United Kingdom"}],"AuthorsHtml":"Chaters G1, McIntyre K1, Gilbert W1, Taylor J1, Rushton J1","AffiliationsHtml":"
1University Of Liverpool, Liverpool, United Kingdom
"}],"DisplayName":"Jonathan Rushton","TimeDisplay":null},{"ContactId":"58526f84-9571-4f1c-935d-0f911f07292e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alison","LastName":"Russell","Position":"","Organization":"The University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A behavioural study to evaluate positive welfare in dairy cows ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"cc7a8d79-a5d9-425d-85cb-1529a5b8b0dc","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.E - Animal welfare","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"0a4c235b-f36a-4d27-a5e6-6d3250aad217","Html":null,"PlainText":"Objectives
The objective of this research was to evaluate the use of novel enrichment, a suggested way of enhancing positive experiences, through environmental choice and exploration, in a commercial herd of housed dairy cattle. A secondary objective was to assess whether novel enrichment had a specific impact on reducing boredom associated behaviours displayed by the cows.

Materials and methods
Two separate groups of 37 adult dairy cows of mixed age and stage of lactation, were recruited to repeat one experimental trial. Cows were commercially housed and managed in line with standard procedures at The University of Nottingham Centre for Dairy Science Innovation. Each trial ran for 6 weeks and consisted of an initial baseline week, 3 weeks of 24-hour access to a novel object (hanging inflated sailing buoy) in the housed environment and a final baseline period with no intervention. Cow behaviour was monitored and analysed from video footage collected 24 hours a day throughout the study.

Results
Every cow in both trial groups physically interacted with the novel object. The percentage of cows in trial 1 that used the novel object was 88.9% in week 1, 85.7% week 2, 82.86% week 3. The percentage of cows in trial 2 that used the novel object was 94.6% week 1, 89.2% week 2 and 83.3% week 3. Two boredom-associated behaviours significantly decreased (P<0.05) when the object was present compared to when it was not present; ‘idling’ behaviour and unsuccessful robotic milking attempts. In addition, there was a significant increase in the number of times cows self-groomed during weeks 1-3, when the buoy was present (P<0.05), a behaviour commonly considered associated with a positive affective state.

Conclusions
A simple, low maintenance and commercially practical enrichment reduced boredom-associated behaviours and facilitated positive experiences in housed dairy cattle.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0a4c235b-f36a-4d27-a5e6-6d3250aad217","Title":"Miss","FirstName":"Alison","LastName":"Russell","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Russell A"},{"PresentationId":"0a4c235b-f36a-4d27-a5e6-6d3250aad217","Title":"Professor ","FirstName":"Martin","LastName":"Green","Position":"Professor ","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Green M"},{"PresentationId":"0a4c235b-f36a-4d27-a5e6-6d3250aad217","Title":"Dr","FirstName":"Laura ","LastName":"Randall ","Position":"Clinical Assistant Professor ","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Randall L"},{"PresentationId":"0a4c235b-f36a-4d27-a5e6-6d3250aad217","Title":"Professor ","FirstName":"Jasmeet","LastName":"Kaler ","Position":"Professor ","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Kaler J"},{"PresentationId":"0a4c235b-f36a-4d27-a5e6-6d3250aad217","Title":"Mrs ","FirstName":"Nicola ","LastName":"Eyre","Position":"Senior Research Technician ","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Eyre N"},{"PresentationId":"0a4c235b-f36a-4d27-a5e6-6d3250aad217","Title":null,"FirstName":"Jenny ","LastName":"Gibbons","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Gibbons J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0a4c235b-f36a-4d27-a5e6-6d3250aad217","Number":1,"Affiliation":"The University Of Nottingham","City":"Nottingham","State":"Nottinghamshire","Country":"United Kingdom","AffiliationDisplay":"The University Of Nottingham, Nottingham Nottinghamshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0a4c235b-f36a-4d27-a5e6-6d3250aad217","Number":2,"Affiliation":"AHDB","City":"Kenilworth","State":"Warwickshire","Country":"United Kingdom","AffiliationDisplay":"AHDB, Kenilworth Warwickshire, United Kingdom"}],"AuthorsHtml":"Russell A1, Green M, Randall L, Kaler J, Eyre N, Gibbons J","AffiliationsHtml":"
1The University Of Nottingham, Nottingham Nottinghamshire, United Kingdom
2AHDB, Kenilworth Warwickshire, United Kingdom
"}],"DisplayName":"Alison Russell","TimeDisplay":null},{"ContactId":"8c19f3bc-52d4-48c5-8436-98e4b3094076","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Shafi","LastName":"Sahibzada","Position":"Lecturer","Organization":"Murdoch University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/037006bc27084493a88e9f6e3df0bffc","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/shafi-sahibzada-92441815","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/shafi-sahibzada-92441815","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/shafi-sahibzada-92441815","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/shafi-sahibzada-92441815","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Genomic characterisation of Salmonella Typhimurium isolated from table-egg layer farming environments in Western Australia and public health implications","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"64db6805-4de3-4f72-8b1d-c6a9004e72b5","Html":null,"PlainText":"Objectives
This study aimed to determine phenotypic AMR and genomic characterisation of S. Typhimurium isolates recovered from chicken layer farm environment in Western Australia. Furthermore, the potential spreading of our S. Typhimurium isolates between the visited farms and their relatedness with human clinical isolates were also investigated.
Methods
A total of 32 S. Typhimurium isolates sourced from chicken layer farm environments in Western Australia were analysed to determine their phenotypic antimicrobial susceptibility using minimum inhibitory concentration. A subset of 59 S. Typhimurium isolates collected in human (n=27) and chickens layer farm environment (n=32) were subjected to whole-genome sequencing to assess phylogenetic relatedness, serovar typing, MLST, virulence genes, resistance genes, and pan-genome.
Results
Non-wild type isolates were only identified against amoxicillin-clavulanate (96.88%), ampicillin (9.38%), and chloramphenicol (3.12%). None of the S. Typhimurium isolates indicated a multi-class-resistant phenotype. Sequencing data highlighted the presence of the blaSED1 resistance gene, which encodes resistance to ampicillin in only one farm environment isolate. All isolates carried mdsABC (multidrug transporter of Salmonella), complex mdsA and mdsB. Two S. Typhimurium isolates carried point-mutation in RamR gene with substituting threonine to proline. A total of 112 virulence genes and virulence factors were also found among the tested isolates. The core genome SNP-based analysis exhibited a close relationship between farm environmental and human clinical isolates. We also noted distantly related isolates on similar farms, which shows the contentious introduction of S. Typhimurium.
Conclusion
This study demonstrates a low prevalence of AMR amongst Salmonella within the layer farm environment in Western Australia. However, the genotypic analysis revealed a close relatedness of S. Typhimurium from layer farms with isolates sourced from human infections. Further investigations are warranted to expand on the potential clinical and public health relevance of these findings to inform risk management of this key pathogen.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"64db6805-4de3-4f72-8b1d-c6a9004e72b5","Title":"Dr","FirstName":"Hamid Reza","LastName":"Sodagari","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Sodagari H"},{"PresentationId":"64db6805-4de3-4f72-8b1d-c6a9004e72b5","Title":"Dr","FirstName":"Penghao","LastName":"Wang","Position":"Senior lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Wang P"},{"PresentationId":"64db6805-4de3-4f72-8b1d-c6a9004e72b5","Title":"Dr","FirstName":"Ihab","LastName":"Habib","Position":"Assistant Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Habib I"},{"PresentationId":"64db6805-4de3-4f72-8b1d-c6a9004e72b5","Title":"Mr.","FirstName":"Shafi","LastName":"Sahibzada","Position":"Lecturer","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Sahibzada S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64db6805-4de3-4f72-8b1d-c6a9004e72b5","Number":1,"Affiliation":"School of Veterinary Medicine, College of Science, Health, Education and Engineering, Murdoch University","City":"Perth","State":"WA","Country":"Australia","AffiliationDisplay":"School of Veterinary Medicine, College of Science, Health, Education and Engineering, Murdoch University, Perth WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64db6805-4de3-4f72-8b1d-c6a9004e72b5","Number":2,"Affiliation":"Veterinary Medicine Department, College of Food and Agriculture, United Arab Emirates University","City":"Dubai","State":null,"Country":"UAE","AffiliationDisplay":"Veterinary Medicine Department, College of Food and Agriculture, United Arab Emirates University, Dubai, UAE"}],"AuthorsHtml":"Sodagari H1, Wang P1, Habib I2, Sahibzada S1","AffiliationsHtml":"
1School of Veterinary Medicine, College of Science, Health, Education and Engineering, Murdoch University, Perth WA, Australia
2Veterinary Medicine Department, College of Food and Agriculture, United Arab Emirates University, Dubai, UAE
"},{"Title":"Epidemiology and molecular characterisation of MRSA resistant to critically important antimicrobials isolated amongst commercial pig farms in Australia","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"606a7004-0a8b-4317-b142-596fb4934133","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Html":null,"PlainText":"Objectives
This study aimed to measure the prevalence and distribution of methicillin-resistant Staphylococcus aureus (MRSA) among pigs in commercial piggeries in Australia and investigate the emergence of critically important antibiotic resistance in the absence of selection pressure.
Methods
A cross-sectional study was performed on 26 commercial pig farms distributed throughout Australia during January–October 2017. A total of 1,690 samples were collected with five environmental and 60 nasal swabs from weaners on each farm. Presumptive MRSA isolates were typed using real-time PCR assays and phenotypically assessed for resistance to 12 different antimicrobials. Whole-genome sequencing was performed on a selected isolate (n= 87).
Results
MRSA was identified in 53.9% of the study farms, with farm-level prevalence ranging between 1.6% and 100%. On average, the prevalence of MRSA carriage in pigs on MRSA-positive farms was 40.28%. All MRSA isolates were typed as ST398 and lacked the lukS/F-PV genes. A high proportion of isolates were resistant to tetracycline (100%), clindamycin (94.6%), erythromycin (76.7%), and amoxicillin-clavulanate (68.3%). Resistance was also observed for quinupristin-dalfopristin (17.2%), gentamicin (4.1%), and neomycin (4.1%). One-quarter of MRSA isolates were resistant to ciprofloxacin. The genomic data revealed close relatedness with MRSA ST398 from Europe and America. The analysis demonstrated multiple introductions of ST398 into the Australian pig industry, where three distinct clades are circulating.
The most reported antimicrobials used among the piggeries were: amoxicillin (92.3%), penicillin (92.3%), tetracycline (80.8%), tylosin (80.8%), sulfamethoxazole-trimethoprim (69.2%), lincomycin (53.8%), and ceftiofur (30.8%).
Conclusion
This study confirms that livestock-associated-MRSA ST398 is established among Australian pig herds. The finding of ciprofloxacin resistance was noteworthy given that use of fluoroquinolones is not permitted in food animals in Australia. This lineage is most likely have been introduced through humans from other countries where resistance to this critical antimicrobial has already been identified in porcine ST398.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Title":"Dr.","FirstName":"Shafi","LastName":"Sahibzada","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sahibzada S"},{"PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Title":"Dr","FirstName":"David","LastName":"Jordan","Position":"Principal Research Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Jordan D"},{"PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Title":"Dr","FirstName":"Marta","LastName":"Hernández","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Hernández M"},{"PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Title":"Dr","FirstName":"Marc","LastName":"Stegger","Position":"Head of Bioinformatics and Microbial Genomics","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Stegger M"},{"PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Title":"Dr","FirstName":"Sam","LastName":"Abraham","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Abraham S"},{"PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Title":"Dr","FirstName":"Jane","LastName":"Heller","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Heller J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Number":1,"Affiliation":"Biosecurity and One Health, Harry Butler Institute, Murdoch University","City":"Perth","State":"WA","Country":"Australia","AffiliationDisplay":"Biosecurity and One Health, Harry Butler Institute, Murdoch University, Perth WA, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Number":2,"Affiliation":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University","City":"Wagga Wagga","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Number":3,"Affiliation":"New South Wales Department of Primary Industries","City":"Wollongbar","State":"NSW","Country":"Australia","AffiliationDisplay":"New South Wales Department of Primary Industries, Wollongbar NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fb2e303d-b6f2-44fb-98d2-e4d388d9038d","Number":4,"Affiliation":"Department of Bacteria, Parasites and Fungi, Statens Serum Institut","City":"Copenhagen","State":"Copenhagen","Country":"Denmark","AffiliationDisplay":"Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen Copenhagen, Denmark"}],"AuthorsHtml":"Sahibzada S1, Jordan D3, Hernández M2, Stegger M4, Abraham S1, Heller J2","AffiliationsHtml":"
1Biosecurity and One Health, Harry Butler Institute, Murdoch University, Perth WA, Australia
2School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga NSW, Australia
3New South Wales Department of Primary Industries, Wollongbar NSW, Australia
4Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen Copenhagen, Denmark
"}],"DisplayName":"Shafi Sahibzada","TimeDisplay":null},{"ContactId":"d61e1a3d-9077-4dd9-9ad8-388e9e76ce0e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Emi","LastName":"Saito","Position":"Senior Manager, Patient Outcome Improvement","Organization":"Banfield Pet Hospital","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/6af99a11ba2e48dba781d1306bce0ee7","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Opportunities for judicious antibiotic use for urinary tract infections in a network of companion animal hospitals","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Html":null,"PlainText":"1.\tObjectives: Investigate usage of antibiotics to manage canine and feline urinary tract infection and identify opportunities for more responsible antimicrobial prescription practices.

2.\tMaterials and Methods: All dogs and cats diagnosed with a urinary tract infection at Banfield Pet Hospital during a 12-month period (May 2020 to May 2021) were identified. Structured data for laboratory tests completed (urinalysis, culture and sensitivity) and antibiotics prescribed were pulled for each affected pet. Records were randomly selected for manual review of medical notes to identify which cases received antibiotics for non-UTI reasons. Prescription practices (antibiotic type, dosage and duration (# days)) were compared to the 2019 ISCAID guidelines for diagnosis and management of bacterial UTIs.

3. Results: A summary of the UTI cases with their diagnosis and prescription patterns are presented in the table.

By limiting oral antibiotics to the recommended duration (e.g., 7 to 10 days), the total volume of tablets dispensed could be reduced significantly (over 30% in dogs and over 15% in cats). This may be further reduced if veterinary teams dispensed antibiotics only after confirmatory diagnostic testing.

4.\tConclusion: Antimicrobial stewardship is the responsibility of all healthcare professionals. Whenever possible, following diagnosis and treatment practices presented in industry guidelines reduces the risk of resistance developing to frontline antimicrobials and ensures they remain viable treatment options as we all continue to combat evolving and emerging infectious diseases in our patient populations.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d46f0adf0cec43e49400461b9293fb04","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Title":"Dr.","FirstName":"Emi","LastName":"Saito","Position":"Senior Manager, Patient Outcome Improvement","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Saito E"},{"PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Title":"Ms.","FirstName":"Helen","LastName":"Jones","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":2,"DisplayName":"Jones H"},{"PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Title":"Ms.","FirstName":"Ashley","LastName":"Yao","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":3,"DisplayName":"Yao A"},{"PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Title":"Ms.","FirstName":"Kseniya","LastName":"Topdjian","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Topdjian K"},{"PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Title":"Dr.","FirstName":"Tricia","LastName":"Beal","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Beal T"},{"PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Title":"Mr.","FirstName":"Patrick","LastName":"Ly","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Ly P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Number":1,"Affiliation":"Banfield Pet Hospital","City":"Vancouver","State":"WA","Country":"USA","AffiliationDisplay":"Banfield Pet Hospital, Vancouver WA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Number":2,"Affiliation":"University of Georgia College of Veterinary Medicine","City":"Athens","State":"GA","Country":"USA","AffiliationDisplay":"University of Georgia College of Veterinary Medicine, Athens GA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c9ffe431-fd9d-4118-904e-27c46a601f16","Number":3,"Affiliation":"Cornell University College of Veterinary Medicine","City":"Ithaca","State":"NY","Country":"USA","AffiliationDisplay":"Cornell University College of Veterinary Medicine, Ithaca NY, USA"}],"AuthorsHtml":"Saito E1, Jones H1,2, Yao A1,3, Topdjian K1, Beal T1, Ly P1","AffiliationsHtml":"
1Banfield Pet Hospital, Vancouver WA, USA
2University of Georgia College of Veterinary Medicine, Athens GA, USA
3Cornell University College of Veterinary Medicine, Ithaca NY, USA
"},{"Title":"Risk Factors for Acute Adverse Events in Dogs Following Vaccination and/or Injectable Heartworm Preventive","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c742a26-db6c-4465-98ff-d5984b272607","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"7a2686b3-ba96-49c8-b222-b7560dbf2cd3","Html":null,"PlainText":"1. Objectives: Determine incidence rates and potential demographic risk factors for adverse events (AEs) recorded within 3 days of vaccines or injectable heartworm preventive administration in dogs.

2. Materials and methods: Electronic medical records from 2016-2020 were used in a retrospective cohort study identifying all dogs receiving vaccinations and/or injectable heartworm preventive at Banfield Pet Hospitals. Records were assessed for potential AEs occurring within 3 days following preventive care measures. Incidence rates for AEs per 10,000 dog-visits were calculated, and associations for potential risk factors were assessed by logistic regression.

3: Results: There were 4,954,565 dogs vaccinated/treated at 21,103,149 office visits in the 5-year period. The overall documented AE rate was 0.001845 (0.1845%, or 18.45 AE/10,000 dog-visits), or < 1 AE per 500 dog-visits. Breed, younger ages, smaller body weights, and increasing the number of injections at a visit were significantly associated with greater AE rates. AE rates were greatest in dogs <5kg (25.28 AE/ 10,000 dog-visits) and declined to 9.65 AE/10,000 dog-visits in dogs >45kg. AE rates for DAPP, leptospirosis, rabies, or Borrelia vaccines administered alone were similar (19.22-21.31 AE/10,000) but slightly greater than for individual administration of Bordetella vaccine or ProHeart® 6 injection (10.40 and 13.48 AE/10,000, respectively).

4. Conclusion: AE rates were low overall, attesting to the general safety of canine preventive measures against infectious diseases. Genomic investigation in breeds with higher AE rates may produce insights into increased risk.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7a2686b3-ba96-49c8-b222-b7560dbf2cd3","Title":"Dr.","FirstName":"George","LastName":"Moore","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":1,"DisplayName":"Moore G"},{"PresentationId":"7a2686b3-ba96-49c8-b222-b7560dbf2cd3","Title":"Dr.","FirstName":"Jo Ann","LastName":"Morrison","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Morrison J"},{"PresentationId":"7a2686b3-ba96-49c8-b222-b7560dbf2cd3","Title":"Mr.","FirstName":"Nathaniel","LastName":"Spofford","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Spofford N"},{"PresentationId":"7a2686b3-ba96-49c8-b222-b7560dbf2cd3","Title":"Dr.","FirstName":"Mike ","LastName":"Yang","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Yang M"},{"PresentationId":"7a2686b3-ba96-49c8-b222-b7560dbf2cd3","Title":"Dr.","FirstName":"Emi","LastName":"Saito","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Saito E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7a2686b3-ba96-49c8-b222-b7560dbf2cd3","Number":1,"Affiliation":"Banfield Pet Hospital","City":"Vancouver","State":"WA","Country":"USA","AffiliationDisplay":"Banfield Pet Hospital, Vancouver WA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7a2686b3-ba96-49c8-b222-b7560dbf2cd3","Number":2,"Affiliation":"Purdue University College of Veterinary Medicine","City":"West Lafayette","State":"IN USA","Country":null,"AffiliationDisplay":"Purdue University College of Veterinary Medicine, West Lafayette IN USA"}],"AuthorsHtml":"Moore G2, Morrison J1, Spofford N1, Yang M1, Saito E1","AffiliationsHtml":"
1Banfield Pet Hospital, Vancouver WA, USA
2Purdue University College of Veterinary Medicine, West Lafayette IN USA
"}],"DisplayName":"Emi Saito","TimeDisplay":null},{"ContactId":"a6accc82-6eb9-47b4-9ba0-7cec33d69316","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Merennage Ayesha","LastName":"Salgadu","Position":"PhD student","Organization":"University of Melbourne","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Bayesian latent class analysis to estimate the optimal cut-off for the IDVet ELISA for the detection of Mycoplasma bovis antibodies in bulk tank milk in New Zealand.","Bio":null,"PresentationTypeName":"Poster (ISVEE to print/put up poster)","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Html":null,"PlainText":"Keywords
Bulk tank milk, New Zealand, IDVet ELISA, Bayesian latent class analysis, cut-off

Objectives
New Zealand’s Mycoplasma bovis background bulk tank milk surveillance screens dairy herds for infection with M. bovis as part of the national M. bovis Eradication Programme. This study evaluated the IDVet ELISA for testing bulk tank milk (BTM) for M. bovis, including estimation of an optimal cut-off, diagnostic sensitivity (DSe) and diagnostic specificity (DSp). We then investigated how attributes of milk production influenced DSe over the production cycle and identified factors associated with the true herd-level prevalence of infection with M. bovis.

Materials and methods
Serum and BTM ELISA testing data from 67 dairy farms were analysed using Bayesian latent class analysis with two tests in multiple populations. We accounted for the possibility that DSe could vary over the production cycle and accounted for repeated measurements taken from herds over time.

Results
A cut-off of 26 SP% was estimated to be the optimal cut-off that yielded the optimal combination of DSe and DSp while making no assumption about the true disease status of the selected herds at each sampling timepoint. At this cut-off, the DSp of the IDVet ELISA was estimated to be 95.6% (95% highest probability density [HPD] interval: 91.7, 98.1) and the DSe to be 85.5% (95% HPD: 62.7, 96.5). The true prevalence of M. bovis was associated with the stage of the production cycle, herd size and somatic cell count concentration of the BTM sample. DSe varied markedly according to the stage of the production cycle and vat milk volume. The highest DSe was observed when BTM samples were tested in the early lactation.

Conclusion
This study provides insights into how the IDVet ELISA can be applied for BTM testing in New Zealand dairy herds and other settings.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Title":"Mrs.","FirstName":"Merennage Ayesha","LastName":"Salgadu","Position":"PhD student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Salgadu M"},{"PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Title":"Dr","FirstName":"Amy","LastName":"Burroughs","Position":"Principal Advisor Strategic Epidemiology","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Burroughs A"},{"PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Title":"Mr.","FirstName":"Tim","LastName":"Jhonstone","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Jhonstone T"},{"PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Title":"Dr.","FirstName":"Nadeeka K.","LastName":"Wawegama","Position":"ARC DECRA Research Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Wawegama N"},{"PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Stevenson M"},{"PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Title":"Prof.","FirstName":"Glenn F.","LastName":"Browning","Position":"Director, Asia-Pacific Centre for Animal Health, Redmond Barry Distinguished Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Browning G"},{"PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Firestone S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Number":1,"Affiliation":"Asia-Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University Of Melbourne","City":"Parkville","State":"Victoria","Country":"Australia","AffiliationDisplay":"Asia-Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University Of Melbourne, Parkville Victoria, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Number":2,"Affiliation":"Mycoplasma bovis Directorate, Biosecurity New Zealand, Ministry for Primary Industries, Pastoral House, 25 The Terrace","City":"Wellington, 6140","State":null,"Country":"New Zealand","AffiliationDisplay":"Mycoplasma bovis Directorate, Biosecurity New Zealand, Ministry for Primary Industries, Pastoral House, 25 The Terrace, Wellington, 6140, New Zealand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"326ed5b9-8ca0-4c5e-b547-10de7de1b885","Number":3,"Affiliation":"Fonterra Co-operative Group Limited (“Fonterra\"), 19 Home Straight","City":null,"State":"Hamilton","Country":"New Zealand","AffiliationDisplay":"Fonterra Co-operative Group Limited (“Fonterra\"), 19 Home Straight, Hamilton, New Zealand"}],"AuthorsHtml":"Salgadu M1, Burroughs A2, Jhonstone T3, Wawegama N1, Stevenson M1, Browning G1, Firestone S1","AffiliationsHtml":"
1Asia-Pacific Centre for Animal Health, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, University Of Melbourne, Parkville Victoria, Australia
2Mycoplasma bovis Directorate, Biosecurity New Zealand, Ministry for Primary Industries, Pastoral House, 25 The Terrace, Wellington, 6140, New Zealand
3Fonterra Co-operative Group Limited (“Fonterra\"), 19 Home Straight, Hamilton, New Zealand
"}],"DisplayName":"Merennage Ayesha Salgadu","TimeDisplay":null},{"ContactId":"3ec38dd6-db6f-4f1a-9a20-5687554dc1c5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Felipe","LastName":"Sanchez","Position":"","Organization":"North Carolina State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the Southeastern United States","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"517aa74a-9a35-4504-8a70-e516fdde5892","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Html":null,"PlainText":"The distance at which the risk of Porcine reproductive and respiratory syndrome virus (PRRSV) transmission from infected to susceptible farms is increased and how risk is distributed across the different farm types remains unknown. The objectives of this study were to 1) define the maximum spatial bandwidth at which farms may spread PRRSV and 2) identify farm types with elevated risk for transmission of PRRSV.
We used PRRSV weekly outbreak data from 2,294 farms between the years 2018 through 2020 in the Southeastern U.S. Relative risk was calculated for farms reporting outbreaks (cases) and farms not reporting outbreaks (controls) using an adaptive kernel density estimation at weekly timesteps.
Our results indicate the maximum spatial bandwidth for PRRSV spread was 15km, 17km, and 18km for the years 2018, 2019, and 2020, respectively. Weekly, relative risk varied greatly by year with seasonal risk detected (e.g. 2018) (Figure 1.a). The highest proportion (~40%) of farms having relative risk values above the exceedance risk cut-off of 60% was observed in 2018 (Figure 1.b). Farms were then classified as high (6%), medium (35%), and low (58%) exceedance risk (Figure 1.c). The distribution of high risk farms were 57% finisher, 25% sow, 13% nursery, 2.2% isolation, and 0.8% boar (Figure 1.d).
With the information gathered from this study, we will be able to target areas of elevated risk for the monitoring of PRRSV, and calibrate PRRSV transmission models using calculated spatial bandwidths as the maximum transmission distance.

Keywords: PRRS virus, spatial, temporal, livestock, disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7da89174392b47a18431eb12e2839e8e","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Title":"Mr.","FirstName":"Felipe","LastName":"Sanchez","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Sanchez F"},{"PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Title":"Dr.","FirstName":"Jason","LastName":"Galvis","Position":"Post-Doc","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Galvis J"},{"PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Title":"Dr.","FirstName":"Chris","LastName":"Jones","Position":"Research Scholar","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Jones C"},{"PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Title":"Dr.","FirstName":"Cesar","LastName":"Corzo","Position":"Associate Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Corzo C"},{"PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Title":"Dr.","FirstName":"Gustavo","LastName":"Machado","Position":"Assistant Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":5,"DisplayName":"Machado G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Number":1,"Affiliation":"Center for Geospatial Analytics, North Carolina State University","City":"Raleigh","State":"NC","Country":"USA","AffiliationDisplay":"Center for Geospatial Analytics, North Carolina State University, Raleigh NC, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Number":2,"Affiliation":"Department of Population Health and Pathobiology, North Carolina State University","City":"Raleigh","State":"NC","Country":"United States","AffiliationDisplay":"Department of Population Health and Pathobiology, North Carolina State University, Raleigh NC, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6648402f-1865-4c23-8fa0-e00cd3b1a3b1","Number":3,"Affiliation":"Veterinary Population Medicine Department, University of Minnesota","City":"St Paul","State":"Minnesota ","Country":"United States","AffiliationDisplay":"Veterinary Population Medicine Department, University of Minnesota, St Paul Minnesota , United States"}],"AuthorsHtml":"Sanchez F1,2, Galvis J2, Jones C1, Corzo C3, Machado G1,2","AffiliationsHtml":"
1Center for Geospatial Analytics, North Carolina State University, Raleigh NC, USA
2Department of Population Health and Pathobiology, North Carolina State University, Raleigh NC, United States
3Veterinary Population Medicine Department, University of Minnesota, St Paul Minnesota , United States
"}],"DisplayName":"Felipe Sanchez","TimeDisplay":null},{"ContactId":"eae77f19-88d3-4ee6-b320-945d20902f9a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Virginia Margarita","LastName":"Sanguinetti","Position":"Graduate Student","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fad85480287b4bcb998cee9ec1112c5d","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A systematic review of disease control strategies used to prevent infectious morbidity and mortality in pre-weaned beef calves","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c9aa60ab-6f8a-4ce7-b257-16d267e201ab","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Html":null,"PlainText":"Productivity of cow-calf operations is restricted by the effects of Bovine Respiratory Disease (BRD) and Neonatal Calf Diarrhea (NCD) in calves. Disease control strategies aim to minimize the burden of disease, but evidence about their effectiveness for improving beef calf health and survival is limited.

Objective: Assess the published evidence about the effectiveness of disease control strategies for prevention of morbidity and mortality in pre-weaned beef calves.

Materials and methods: This systematic review followed PRISMA reporting guidelines, and the protocol was published a priori. Interventions of interest were colostrum management, vaccination, biosecurity, nutrition, and other management practices applied to pregnant dams or pre-weaned calves. Outcomes of interest were morbidity caused by naturally occurring BRD and NCD, and mortality in beef calves from 24 h after birth until weaning. Databases searched were CAB Abstracts on the Ebsco platform, MEDLINE on the Ovid platform, Web of Science Core Collection, and ProQuest Dissertations. Only clinical trials and observational studies with concurrent comparison groups were included. Studies were screened in two stages, and accepted studies underwent data extraction and risk of bias assessment.

Results: Initially, 3007 studies underwent title and abstract screening and 2828 were excluded. After full text screening, 26 studies were retained, most of which were observational studies evaluating several interventions (17/26). Season of calving was the intervention most frequently reported as significantly associated with the outcomes of interest. Vaccination practices showed variable results with a general trend of preventing detrimental effects in calves. Evidence summarized for biosecurity and colostrum management practices was minimal, and nutritional interventions showed inconsistent results.

Conclusion: Despite the multiple interventions of interest included in this review, the body of evidence remains scarce, most of the included studies were observational, and results were inconsistent.

Keywords: Bovine Respiratory Disease, Neonatal Calf Diarrhea, colostrum management, vaccination, biosecurity","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Title":"Dr.","FirstName":"Margarita","LastName":"Sanguinetti","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sanguinetti M"},{"PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Title":"Dr.","FirstName":"Samuel","LastName":"Agbese","Position":"Msc student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Agbese S"},{"PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Title":"Dr.","FirstName":"Cindy","LastName":"Adams","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Adams C"},{"PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Title":"Dr.","FirstName":"John","LastName":"Campbell","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Campbell J"},{"PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Title":"Dr.","FirstName":"Sylvia","LastName":"Checkley","Position":"Associate Professor","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Checkley S"},{"PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Title":"MLIS","FirstName":"Heather","LastName":"Ganshorn","Position":"Associate Librarian","Affiliations":"5","IsPresenting":false,"SortOrder":6,"DisplayName":"Ganshorn H"},{"PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Title":"Dr.","FirstName":"Claire","LastName":"Windeyer","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Windeyer C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Number":1,"Affiliation":"Dept. of Production Animal Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada ","City":null,"State":null,"Country":null,"AffiliationDisplay":"Dept. of Production Animal Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Number":2,"Affiliation":"Dept. of Veterinary Clinical and Diagnostic Sciences, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Dept. of Veterinary Clinical and Diagnostic Sciences, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Number":3,"Affiliation":"Dept. of Large Animal Clinical Sciences, University of Saskatchewan, Western College of Veterinary Medicine, Saskatoon, Saskatchewan, Canada ","City":null,"State":null,"Country":null,"AffiliationDisplay":"Dept. of Large Animal Clinical Sciences, University of Saskatchewan, Western College of Veterinary Medicine, Saskatoon, Saskatchewan, Canada "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Number":4,"Affiliation":"Dept. of Ecosystem and Public Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Dept. of Ecosystem and Public Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f013fa3d-eaf0-4f8b-af4c-469ddd74fbcc","Number":5,"Affiliation":"Libraries and Cultural Resources, University of Calgary, Calgary, Alberta, Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Libraries and Cultural Resources, University of Calgary, Calgary, Alberta, Canada"}],"AuthorsHtml":"Sanguinetti M1, Agbese S1, Adams C2, Campbell J3, Checkley S4, Ganshorn H5, Windeyer C1","AffiliationsHtml":"
1Dept. of Production Animal Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada
2Dept. of Veterinary Clinical and Diagnostic Sciences, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada
3Dept. of Large Animal Clinical Sciences, University of Saskatchewan, Western College of Veterinary Medicine, Saskatoon, Saskatchewan, Canada
4Dept. of Ecosystem and Public Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada
5Libraries and Cultural Resources, University of Calgary, Calgary, Alberta, Canada
"},{"Title":"Expert consensus about effectiveness, ease of implementation, and economic feasibility of disease control strategies used to prevent infectious morbidity and mortality in pre-weaned beef calves ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Html":null,"PlainText":"Bovine Respiratory Disease (BRD) and Neonatal Calf Diarrhea (NCD) negatively impact beef calf health. Disease control strategies are often implemented to prevent losses, but there is a gap in knowledge regarding their effectiveness, ease of implementation, and economic feasibility. Expert knowledge has been shown to be a valuable source of evidence given controversial or sparse findings; however, no study has before addressed this topic using this approach.

Objective: Describe consensus among experts regarding disease control strategies used to prevent BRD, NCD, and general mortality in pre-weaned beef calves.

Materials and methods: The modified Delphi method is a procedure used to convert personal opinions into group consensus. The preparatory phase comprises of conducting a systematic review of disease control strategies to be assessed, recruiting experts, and developing a questionnaire. For specific interventions, experts will be required to score the effectiveness, ease of implementation, and economic feasibility of practices for preventing clinical BRD, NCD, and general mortality, using a 6-point scale. Two rounds of questionnaires will be carried out, and feedback will be provided through reports of anonymized results. This iterative process will target consensus in a final workshop where participants will have the opportunity to disclose their opinions and discuss.

Results: The University of Calgary Conjoint Faculties Research Ethics Board has approved this study. A systematic review has been completed, the questionnaire developed, and potential experts selected to participate (i.e. five veterinary practitioners and five members of academia). Preliminary results are expected by the time of presentation.

Conclusion: The findings of this study will contribute to the development of a customized risk assessment tool that will aid in the decision-making process of disease control strategies to be applied on specific cow-calf operations.

Keywords: Delphi method, Bovine Respiratory Disease, Neonatal Calf Diarrhea, calf survival
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Title":"Dr.","FirstName":"Virginia Margarita","LastName":"Sanguinetti","Position":"Graduate Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sanguinetti V"},{"PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Title":"Dr.","FirstName":"Cindy","LastName":"Adams","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Adams C"},{"PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Title":"Dr.","FirstName":"John","LastName":"Campbell","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Campbell J"},{"PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Title":"Dr.","FirstName":"Sylvia","LastName":"Checkley","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Checkley S"},{"PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Title":"Dr.","FirstName":"Claire","LastName":"Windeyer","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Windeyer C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Number":1,"Affiliation":"Dept. of Production Animal Health, University of Calgary, Faculty of Veterinary Medicine, Calgary, Alberta, Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Dept. of Production Animal Health, University of Calgary, Faculty of Veterinary Medicine, Calgary, Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Number":2,"Affiliation":"Dept. of Veterinary Clinical and Diagnostic Sciences, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Dept. of Veterinary Clinical and Diagnostic Sciences, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Number":3,"Affiliation":"Dept. of Large Animal Clinical Sciences, University of Saskatchewan, Western College of Veterinary Medicine, Saskatoon, Saskatchewan, Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Dept. of Large Animal Clinical Sciences, University of Saskatchewan, Western College of Veterinary Medicine, Saskatoon, Saskatchewan, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0cfdc180-3a51-4e30-a9ca-869be79dae45","Number":4,"Affiliation":"Dept. of Ecosystem and Public Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Dept. of Ecosystem and Public Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada"}],"AuthorsHtml":"Sanguinetti V1, Adams C2, Campbell J3, Checkley S4, Windeyer C1","AffiliationsHtml":"
1Dept. of Production Animal Health, University of Calgary, Faculty of Veterinary Medicine, Calgary, Alberta, Canada
2Dept. of Veterinary Clinical and Diagnostic Sciences, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada
3Dept. of Large Animal Clinical Sciences, University of Saskatchewan, Western College of Veterinary Medicine, Saskatoon, Saskatchewan, Canada
4Dept. of Ecosystem and Public Health, University of Calgary Faculty of Veterinary Medicine, Calgary, Alberta, Canada
"}],"DisplayName":"Virginia Margarita Sanguinetti","TimeDisplay":null},{"ContactId":"07d91caa-f0a2-4750-90bb-97d294925305","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Juan","LastName":"Sanhueza","Position":"Assistant Professor","Organization":"Universidad Catolica De Temuco","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Anthelmintic treatment efficacy in cattle in the municipality of Rio Negro, Chile","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"aef9ed04-72b4-40a4-936e-2aae07e4d1d3","Html":null,"PlainText":"Objective: To evaluate the efficacy of an anthelmintic treatment in cattle.
Materials and Methods: Thirty smallholder cattle producers participating of a regional aid program in the municipality of Rio Negro, Chile were randomly selected from a total of 442 cattle owners. All cattle present on the farm at the time of treatment administration were included in the study. Treatment consisted of a single subcutaneous dose of Ivermectin. A fecal sample was taken prior to treatment administration. Fourteen days after treatment administration, another fecal sample was taken from the same animals. Samples were sent overnight to the parasitology laboratory of the Universidad Católica de Temuco. A Whitlock universal counting slide was used to estimate the number of eggs per gram (epg). Animals with <100 epg were not used to estimate the percentage of egg count reduction. Two egg count percent reductions (≥95% and ≥90%), between the first and second sampling, were estimated as indication of treatment failure.
Results: Animals (n=128) were treated and sampled in 30 farms. At the fist sampling, 45/128 animals had zero eggs counted, most of them in animals ≥24 months-old (28/45; 62.2%) compared to animals <24 months-old (17/83; 20.5%). Overall, there were 61/128 animals with ≥100epg in 22 farms. The fecal egg count was reduced ≥95% in 21/61 animals (34.4%; 95% CI 23.7% – 47.0%), and ≥90% in 23/61 animals (37.7%; 95% CI 26.6% - 50.3%).
Conclusion: The ivermectin treatment failed to reduce the parasite burden in most animals studied. These results highlight the need for improving regional aid program policies regarding anthelminthic control in cattle. A closer partnership among local government, producers and academia should be pursued to evaluate the cost-benefit of local interventions and an efficient use of resources.

Keywords: Anthelmintic, Efficacy, Cattle, Egg Count, Smallholders","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"aef9ed04-72b4-40a4-936e-2aae07e4d1d3","Title":"Mr.","FirstName":"Joshua","LastName":"Paredes","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Paredes J"},{"PresentationId":"aef9ed04-72b4-40a4-936e-2aae07e4d1d3","Title":"Dr.","FirstName":"Juan","LastName":"Sanhueza","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Sanhueza J"},{"PresentationId":"aef9ed04-72b4-40a4-936e-2aae07e4d1d3","Title":"Dr.","FirstName":"Daniela","LastName":"Tapia-Escárate","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Tapia-Escárate D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aef9ed04-72b4-40a4-936e-2aae07e4d1d3","Number":1,"Affiliation":"Universidad Catolica De Temuco","City":"Temuco","State":"La Araucania","Country":"Chile","AffiliationDisplay":"Universidad Catolica De Temuco, Temuco La Araucania, Chile"}],"AuthorsHtml":"Paredes J1, Sanhueza J1, Tapia-Escárate D1","AffiliationsHtml":"
1Universidad Catolica De Temuco, Temuco La Araucania, Chile
"},{"Title":"The effect of limiting cross-fostering on influenza A transmission in the farrowing room of breeding swine herds","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Html":null,"PlainText":"Objective: To assess the effect of limiting cross-fostering activities in the farrowing room on influenza A transmission among pigs
Materials and methods: A field trial will be carried out at three swine breeding herds with PCR evidence of Influenza A circulation. Within each herd, two farrowing rooms will be randomly selected. On one of these rooms, pig movement among litters will be restricted after 24 hours from farrowing. In addition, farm workers will be instructed to change gloves and disinfect instruments when handling pigs from different litters. The other farrowing room will serve as control where no restriction on pig movement will be implemented. In each room, 15 litters will be randomly selected and all pigs within the litter will be sampled using nasal swabs at eight, thirteen and eighteen days of age. Samples will be sent to the veterinary epidemiology laboratory, Universidad de Chile.
Results: The study is fully funded and will be carried out on between March and June 2022. Results of the study will be presented at the conference.
Conclusion: The results of this study will inform veterinarians and pork producers about the role of pig movement among litters after the first 24 hours of age on influenza A transmission in the farrowing room. The benefits and cons of this type of intervention will allow swine veterinarians to advise producers on the control of IAV in breeding herds.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Title":"Dr.","FirstName":"Juan","LastName":"Sanhueza","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sanhueza J"},{"PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Title":"Mr.","FirstName":"Jaime","LastName":"Figueroa","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Figueroa J"},{"PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Title":"Mr.","FirstName":"Christopher","LastName":"Hamilton-West","Position":"Asociate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Hamilton-West C"},{"PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Title":"Dr.","FirstName":"Daniela","LastName":"Tapia-Escarate","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Tapia-Escarate D"},{"PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Title":"Dr.","FirstName":"Cesar","LastName":"Corzo","Position":"Associate Professor","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Corzo C"},{"PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Title":"Prof.","FirstName":"Monserrat","LastName":"Torremorell","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Torremorell M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Number":1,"Affiliation":"Universidad Catolica De Temuco","City":"Temuco","State":"La Araucania","Country":"Chile","AffiliationDisplay":"Universidad Catolica De Temuco, Temuco La Araucania, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Number":2,"Affiliation":"Universidad de Chile","City":"Santiago","State":"Metropolitana","Country":"Chile","AffiliationDisplay":"Universidad de Chile, Santiago Metropolitana, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2d0df0d5-bb78-44d8-ac97-cc364401177b","Number":3,"Affiliation":"University of Minnesota","City":"Saint Paul","State":"Minnesota","Country":"United States","AffiliationDisplay":"University of Minnesota, Saint Paul Minnesota, United States"}],"AuthorsHtml":"Sanhueza J1, Figueroa J2, Hamilton-West C2, Tapia-Escarate D1, Corzo C3, Torremorell M3","AffiliationsHtml":"
1Universidad Catolica De Temuco, Temuco La Araucania, Chile
2Universidad de Chile, Santiago Metropolitana, Chile
3University of Minnesota, Saint Paul Minnesota, United States
"}],"DisplayName":"Juan Sanhueza","TimeDisplay":null},{"ContactId":"e87759a8-26d4-4cf1-85fc-e34e16bb8dd6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jan","LastName":"Sargeant","Position":"Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Jan M. Sargeant has a DVM degree and an MSc and PhD in Epidemiology from the Ontario Veterinary College University of Guelph. After working at Kansas State University in the US and McMaster University in Canada, she has been on faculty at the University of Guelph since 2007; she a professor of Epidemiology in the Department of Population Medicine at the Ontario Veterinary College, the founding Director of the Centre for Public Health and Zoonoses (2007-2019), and a Fellow of the Canadian Academy of Health Sciences. Jan’s current research interests are the epidemiology of zoonotic pathogens (including foodborne pathogens and antibiotic-resistance), linking research across disciplines and among animal health and human health communities, and evidence-informed decision-making in agri-food public health. She is a co-lead and co-author of the REFLECT and STROBE-Vet reporting guidelines for clinical trials and observational studies in animal populations.

","Presentations":[{"Title":"Use of reporting guidelines in teaching veterinary epidemiology","Bio":"Dr. Jan M. Sargeant has a DVM degree and an MSc and PhD in Epidemiology from the Ontario Veterinary College University of Guelph. After working at Kansas State University in the US and McMaster University in Canada, she has been on faculty at the University of Guelph since 2007; she a professor of Epidemiology in the Department of Population Medicine at the Ontario Veterinary College, the founding Director of the Centre for Public Health and Zoonoses (2007-2019), and a Fellow of the Canadian Academy of Health Sciences. Jan’s current research interests are the epidemiology of zoonotic pathogens (including foodborne pathogens and antibiotic-resistance), linking research across disciplines and among animal health and human health communities, and evidence-informed decision-making in agri-food public health. She is a co-lead and co-author of the REFLECT and STROBE-Vet reporting guidelines for clinical trials and observational studies in animal populations. \r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"7773fd23-faf6-43a7-8675-56fdf517823b","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9a38cc2b-341c-46c4-90fa-dd2234647d78","Html":null,"PlainText":"Reporting guidelines are available for many study designs. For veterinary species, these include REFLECT for livestock trials, ARRIVE for animal models, and STROBE-Vet for observational studies. Reporting guidelines are a tool to assist authors, peer-reviewers, and journal editors in ensuring comprehensiveness of reporting in scientific manuscripts. Are these guidelines useful for teaching epidemiology to veterinary students? The answer may depend on the student. For those involved in research or interested in research in the future, reporting guidelines are a valuable aid for scientific writing. For students who do not intend to conduct research, reporting guidelines still may be a valuable tool for teaching epidemiological principles by mapping the components of reporting guidelines to skills that we want students to learn. Some of the items in reporting guidelines are included to allow the reader of a scientific report to evaluate feasibility, other items are included to provide the information needed to access the external validity of a study. Still other items are linked to best practices for conducting studies for specific study designs. Finally, some items in the reporting guidelines are included to provide the information needed to assess the internal validity (potential for bias) in a study. Thus, reporting guidelines could be used in conjunction with critical appraisal tools to improve students’ ability to evaluate scientific evidence when making clinical decisions. This would complement an Evidence-based Veterinary Medicine approach, where students use research evidence as a component of clinical decision-making. Thus, using reporting guidelines may help students to become more critical consumers of scientific literature. However, reporting guidelines provide a checklist of what should be reported. Moving beyond a checklist to an understanding of the importance of each component of reporting guidelines to evidence quality is not a trivial undertaking. Is there time to teach this in the veterinary curriculum?","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9a38cc2b-341c-46c4-90fa-dd2234647d78","Title":"Dr.","FirstName":"Jan","LastName":"Sargeant","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sargeant J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9a38cc2b-341c-46c4-90fa-dd2234647d78","Number":1,"Affiliation":"University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Sargeant J1","AffiliationsHtml":"
1University of Guelph, Guelph ON, Canada
"},{"Title":"Design and implementation of RCTs of prophylactic and therapeutic interventions relevant to food production","Bio":"Dr. Jan M. Sargeant has a DVM degree and an MSc and PhD in Epidemiology from the Ontario Veterinary College University of Guelph. After working at Kansas State University in the US and McMaster University in Canada, she has been on faculty at the University of Guelph since 2007; she a professor of Epidemiology in the Department of Population Medicine at the Ontario Veterinary College, the founding Director of the Centre for Public Health and Zoonoses (2007-2019), and a Fellow of the Canadian Academy of Health Sciences. Jan’s current research interests are the epidemiology of zoonotic pathogens (including foodborne pathogens and antibiotic-resistance), linking research across disciplines and among animal health and human health communities, and evidence-informed decision-making in agri-food public health. She is a co-lead and co-author of the REFLECT and STROBE-Vet reporting guidelines for clinical trials and observational studies in animal populations. ","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"159ceae0-0007-4d59-844f-a4d29ba5ae8c","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"12_Special Session Part 1: Randomized control trials and the reality of impact evaluations","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"baef617f-f8e8-4fb3-bcad-9de7308f85a8","Html":null,"PlainText":"Randomized controlled trials (RCTs) provide the highest level of evidence for the efficacy of interventions when study subjects can be randomly allocated to groups. However, to be useful, RCTs must be well conducted and well-reported. The important features for high methodological rigour in RCTs are known, although not always implemented. The REFLECT statement provides guidance on comprehensive reporting of RCTs in livestock populations and food safety and there is some evidence that reporting has improved since its publication in 2010. However, less attention has been focused on the selection of interventions and outcomes to maximizes the usefulness of trial results. Results across multiple trials on the same intervention and with the same outcome should be considered when making decisions on whether to use an intervention, because the results of a single trial are subject to sampling error and don’t reflect biological variability. Systematic reviews on RCTs in beef cattle, dairy cattle, and swine have illustrated that there is little replication of interventions addressing the same clinical question. Some trials did not include an intervention arm that was common to any other published trial, precluding a comparison of the results across the body of literature on that clinical question. There also was large variation in the outcomes that were measured among trials on the same topic, both in terms of case definition and time at risk. To build a body of evidence, researchers should ensure that at least one of the interventions groups in their trial has been used previously, to allow results to be linked and compared across studies. The use of core outcome sets would ensure that at least some outcomes are common across trials. This will allow a body of evidence on intervention efficacy to be built over time, maximizing the research investment.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"baef617f-f8e8-4fb3-bcad-9de7308f85a8","Title":"Dr.","FirstName":"Jan","LastName":"Sargeant","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sargeant J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"baef617f-f8e8-4fb3-bcad-9de7308f85a8","Number":1,"Affiliation":"University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Sargeant J1","AffiliationsHtml":"
1University of Guelph, Guelph ON, Canada
"}],"DisplayName":"Jan Sargeant","TimeDisplay":null},{"ContactId":"807af361-e2ee-4b65-a6f5-5d011b6704a1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Md Shamim","LastName":"Sarkar","Position":"Graduate Research Assistant","Organization":"University of Tennessee","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/ea22f9142e8448e2b3c3cbf02754702a","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Environmental Determinants of Bovine Anaplasmosis in Tennessee Cattle","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"dd69f228-2c5b-4531-b328-0906c0af3cd2","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"579ded1e-eada-457e-83a3-edd3d09ef4d1","Html":null,"PlainText":"Objective
Bovine anaplasmosis (BA) is linked to the economic loss of cattle farmers, and an estimated annual economic loss is over 300 million US dollars in a year in the United States (U.S). Understanding the determinants of BA in cattle is critical to guiding clinical decisions and control programs. The study objective was to identify environmental determinants of BA in Tennessee (TN) cattle. Between April and November 2020, 1117 TN cattle were tested for BA.

Materials and Methods
The unit of analysis for identifying determinants was individual cattle. The outcome of interest was BA infection in cattle which was defined if cattle serum had detectable antibodies against Anaplasma marginale by cELISA. Environmental indices (temperature, rain days, humidity) were obtained for counties from which these animals were sampled. Descriptive analyses were performed to estimate the true seroprevalence of BA in cattle. A univariable logistic regression model was used to assess the relationship between the potential predictors (breed, season of sampling, monthly cumulative rain days, relative humidity, and temperature) and BA in cattle. The variables with p<= 0.2 were considered for the multivariable logistic regression model. A multivariable logistic regression model was fit using manual backward elimination procedures. Odds ratio (OR) with an estimated 95% confidence interval (CI) were reported.

Results
The overall apparent and true seroprevalence of BA was 20.41% and 19.8%, respectively. The odds of BA diagnosis were 12 times as high in areas with ≤ 10 rain days/month and 3.3 times in mixed breed cattle compared to areas with >10 rain days/month and pure breed cattle, respectively.
 


Conclusion
Mixed breed cattle and rain days are identified as important determinants of BA diagnosis in TN cattle in 2020. The knowledge gained from these data could be guided targeted surveillance and control measures for BA in cattle in TN.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"579ded1e-eada-457e-83a3-edd3d09ef4d1","Title":"Dr.","FirstName":"Shamim","LastName":"Sarkar","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sarkar S"},{"PresentationId":"579ded1e-eada-457e-83a3-edd3d09ef4d1","Title":"Dr.","FirstName":"Brian","LastName":"Whitlock","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Whitlock B"},{"PresentationId":"579ded1e-eada-457e-83a3-edd3d09ef4d1","Title":"Dr.","FirstName":"Lew","LastName":"Strickland","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Strickland L"},{"PresentationId":"579ded1e-eada-457e-83a3-edd3d09ef4d1","Title":"Dr.","FirstName":"Justin","LastName":"Rhinehart","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Rhinehart J"},{"PresentationId":"579ded1e-eada-457e-83a3-edd3d09ef4d1","Title":"Dr.","FirstName":"Jon","LastName":"Beever","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Beever J"},{"PresentationId":"579ded1e-eada-457e-83a3-edd3d09ef4d1","Title":"Dr.","FirstName":"Chika","LastName":"Okafor","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Okafor C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"579ded1e-eada-457e-83a3-edd3d09ef4d1","Number":1,"Affiliation":"University of Tennessee","City":"Knoxville","State":"TN","Country":"USA","AffiliationDisplay":"University of Tennessee, Knoxville TN, USA"}],"AuthorsHtml":"Sarkar S1, Whitlock B1, Strickland L1, Rhinehart J1, Beever J1, Okafor C1","AffiliationsHtml":"
1University of Tennessee, Knoxville TN, USA
"}],"DisplayName":"Md Shamim Sarkar","TimeDisplay":null},{"ContactId":"323edbe9-1817-4b34-8640-806776b8326f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Organization":"Friedrich-Loeffler-Institut","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The Diffusion Metrics of African Swine Fever in Wild Boar","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"04984db9-74c4-4e07-a60b-2a5c7c0b96b2","Html":null,"PlainText":"Objectives
It was our objective to define interpretable metrics for the spatial dynamics of African Swine Fever (ASF) spread in wild boar. These metrics had to be based on real outbreak data and yield the affected area over time and the velocity of the epidemic wave front to support disease control efforts.

Materials and methods
We hypothesized that the spread pattern of ASF cases in wild boar follows the mechanics of a diffusion process, at least early on after disease incursion. By integrating real case data from Germany, we derived statistics about the time differences and distances between consecutive case reports. With these statistics, we generated an ensemble of random walkers (continuous time random walks, CTRW) to examine disease spread dynamics in distinct case clusters.

Results
Here we found, that the resulting random walker ensemble indeed resembled the properties of the observed outbreak pattern as one probable realization of all possible disease dissemination patterns. (The attached Figure shows outbreak data vs. data generated by a trained random walker). This allowed us to derive the diffusion constant, the affected area, and the outbreak velocity of early ASF spread in wild boar.

Conclusion
The observed diffusion constants were robust and followed a universal law when measured in regions with similar control measures and landscape. Therefore, these metrics appear to be generally applicable and useful spatial descriptors of early disease dynamics.

Literature
Lentz, et al. \"The Diffusion Metrics of African Swine Fever in Wild Boar.\" arXiv preprint:2202.01558 (2022).","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"04984db9-74c4-4e07-a60b-2a5c7c0b96b2","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/324fbe21f1ae4fa884996a0ce5c60da6","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"04984db9-74c4-4e07-a60b-2a5c7c0b96b2","Title":"Dr.","FirstName":"Hartmut","LastName":"Lentz","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Lentz H"},{"PresentationId":"04984db9-74c4-4e07-a60b-2a5c7c0b96b2","Title":"Dr.","FirstName":"Hannes","LastName":"Bergmann","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Bergmann H"},{"PresentationId":"04984db9-74c4-4e07-a60b-2a5c7c0b96b2","Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Sauter-Louis C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"04984db9-74c4-4e07-a60b-2a5c7c0b96b2","Number":1,"Affiliation":"Friedrich-loeffler-institut","City":"Greifswald","State":"Mecklenburg-vorpommern","Country":"Germany","AffiliationDisplay":"Friedrich-loeffler-institut, Greifswald Mecklenburg-vorpommern, Germany"}],"AuthorsHtml":"Lentz H1, Bergmann H1, Sauter-Louis C1","AffiliationsHtml":"
1Friedrich-loeffler-institut, Greifswald Mecklenburg-vorpommern, Germany
"},{"Title":"Application of Computer Vision in Animal Experiments with Red Foxes","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"35b4a6ef-cfb6-464a-a2fe-006d0a59bc71","Html":null,"PlainText":"Keywords: Computer vision, animal monitoring, animal behavior, animal activity, body posture

Animal activity and posture are indicators for its welfare and manual observation is time and cost intensive. To this end, the application of computer vision methods provides a means of automatically detect and monitor captive animals to determine its activity and posture, and use this to assess animal welfare (and health). We demonstrate that computer vision methods enable gap-less monitoring of red foxes in an experimental lab-setting including a classification into activity patterns and body posture.
Therefore, the animals are detected, i.e. localized, and the body posture is classified (here: lying, sitting or standing). The bounding boxes are used to measure the movements of the foxes and thus the activity level (highly active, active or inactive) of the animals. More specifically, we train the existing algorithm YOLOv4 to detect foxes and classify their posture. The trained detector is applied to video data from an experiment with foxes.
The detector has a mean average precision of 99.91%. The combined evaluation of activity and posture results in a behavioral monitoring. We have developed a decision tree for behavior classification for this purpose (see figure below).
Application of automatic detection of foxes can be used for detecting different movement patterns and overviews of the activity level, respectively postures. These, in turn, can be used for animal behavioral analysis, and thus animal welfare monitoring. Once established for a specific animal species, such systems could be used for animal monitoring in real-time under experimental conditions, or other areas of animal husbandry.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"35b4a6ef-cfb6-464a-a2fe-006d0a59bc71","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fed082c824f44e75abe30ed2fd6a0e4d","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"35b4a6ef-cfb6-464a-a2fe-006d0a59bc71","Title":"Ms.","FirstName":"Anne K.","LastName":"Schütz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Schütz A"},{"PresentationId":"35b4a6ef-cfb6-464a-a2fe-006d0a59bc71","Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Sauter-Louis C"},{"PresentationId":"35b4a6ef-cfb6-464a-a2fe-006d0a59bc71","Title":"Dr.","FirstName":"Hartmut","LastName":"Lentz","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Lentz H"},{"PresentationId":"35b4a6ef-cfb6-464a-a2fe-006d0a59bc71","Title":"Dr.","FirstName":"Timo","LastName":"Homeier-Bachmann","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Homeier-Bachmann T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"35b4a6ef-cfb6-464a-a2fe-006d0a59bc71","Number":1,"Affiliation":"Institute of Epidemiology, Friedrich-Loeffler-Institut","City":"Greifswald - Insel Reims","State":"Mecklenburg-Western Pomerania","Country":"Germany","AffiliationDisplay":"Institute of Epidemiology, Friedrich-Loeffler-Institut, Greifswald - Insel Reims Mecklenburg-Western Pomerania, Germany"}],"AuthorsHtml":"Schütz A1, Sauter-Louis C1, Lentz H1, Homeier-Bachmann T1","AffiliationsHtml":"
1Institute of Epidemiology, Friedrich-Loeffler-Institut, Greifswald - Insel Reims Mecklenburg-Western Pomerania, Germany
"},{"Title":"Identification of potential risk factors for African swine fever through systematic literature review","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Html":null,"PlainText":"Objective: African swine fever [ASF] is an internationally spreading viral pig disease that severely damages agricultural pork production. Risk assessments are critical for the efficient control and management of complex infectious livestock diseases, such as ASF, and require a comprehensive understanding of underlying disease risk factors. The objective of this work was to identify all potential ASF risk factors that have previously been considered in the literature.

Materials and methods: We identified potential risk factors for ASF by systematically searching literature records, following the guidelines for Preferred Reporting Items for Systematic Reviews and Meta-Analysis [PRISMA]. ‘ASF’ and disease ‘risk’ related keywords formed the search string used to query eight literature databases, including PubMed (MEDLINE), Web of Science and Scopus, EFSA and FAO databases, as well as thesis and dissertation networks without specifying historic time limits. Two independent reviewers screened each identified record against pre-defined selection and exclusion criteria. During this process, the reviewers recorded all potential risk factors encountered, whether evidence based or not.

Results: The database searches retrieved 1311 de-duplicated records, of which 467 gave rise to potential risk factor information. Most records were published in the last 10 years. The identified factors could be grouped into risk categories related to ‘environment’, ‘movement’, ‘husbandry’, ‘biosecurity’, ‘surveillance’, ‘society’, ‘viral properties’, ‘disease control’, ‘pig properties’, ‘wildlife management’, networks’ and ‘immune status’. Factors in the ‘environment’, ‘movement’ and ‘husbandry’ categories were most abundant, particularly highlighting potential ASF risks linked to wild boar biology, geomorphology, pork product handling and sick pig management.

Conclusion: Strategic literature searching for potential ASF risk factors created a comprehensive and informative portfolio of possible drivers for transboundary disease causation to inform ASF-related problem solving and risk assessments.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 773701.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Dr.","FirstName":"Hannes","LastName":"Bergmann","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Bergmann H"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Dr.","FirstName":"Johanna","LastName":"Dups-Bergmann","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Dups-Bergmann J"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Dr.","FirstName":"Katja","LastName":"Schulz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Schulz K"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Mr.","FirstName":"Jörn","LastName":"Gethmann","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Gethmann J"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Dr.","FirstName":"Carolina","LastName":"Probst","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Probst C"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Dr.","FirstName":"Laura","LastName":"Zani","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Zani L"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Dr.","FirstName":"Melina","LastName":"Fischer","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":7,"DisplayName":"Fischer M"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Dr.","FirstName":"Nicolai","LastName":"Denzin","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Denzin N"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Dr.","FirstName":"Sandra","LastName":"Blome","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":9,"DisplayName":"Blome S"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Prof.","FirstName":"Franz-Josef","LastName":"Conraths","Position":"Head of Department","Affiliations":"1","IsPresenting":false,"SortOrder":10,"DisplayName":"Conraths F"},{"PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":11,"DisplayName":"Sauter-Louis C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Number":1,"Affiliation":"Friedrich-Loeffler-Institut, Institute of Epidemiology","City":"Greifswald","State":"Mecklenburg Western Pomerania","Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler-Institut, Institute of Epidemiology, Greifswald Mecklenburg Western Pomerania, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Number":2,"Affiliation":"Friedrich-Loeffler-Institut, Institute of International Animal Health/One Health","City":"Greifswald","State":"Mecklenburg Western Pomerania","Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler-Institut, Institute of International Animal Health/One Health, Greifswald Mecklenburg Western Pomerania, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2ac27860-3173-4404-8fe0-27b762439763","Number":3,"Affiliation":"Friedrich-Loeffler-Institut, Institute of Diagnostic Virology","City":"Greifswald","State":"Mecklenburg Western Pomerania","Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler-Institut, Institute of Diagnostic Virology, Greifswald Mecklenburg Western Pomerania, Germany"}],"AuthorsHtml":"Bergmann H1, Dups-Bergmann J1, Schulz K1, Gethmann J, Probst C1, Zani L2, Fischer M3, Denzin N1, Blome S3, Conraths F1, Sauter-Louis C1","AffiliationsHtml":"
1Friedrich-Loeffler-Institut, Institute of Epidemiology, Greifswald Mecklenburg Western Pomerania, Germany
2Friedrich-Loeffler-Institut, Institute of International Animal Health/One Health, Greifswald Mecklenburg Western Pomerania, Germany
3Friedrich-Loeffler-Institut, Institute of Diagnostic Virology, Greifswald Mecklenburg Western Pomerania, Germany
"},{"Title":"Eighteen months of African swine fever in Germany, challenges and achievements","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fb4e9c00-839f-4ce3-a0c7-98491f948e9f","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.D - Epidemiology of African Swine Fever","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Html":null,"PlainText":"Objectives
African swine fever (ASF) has been confirmed in a wild boar for the first time in Germany in September 2020. The objective is to describe the spatial and temporal spread of ASF-cases in wild boar in Germany over a period of 12 months and compare it to other countries that have experienced ASF in wild boar, especially Belgium and the Czech Republic.

Material and Methods
Outbreak data were extracted from the German national animal disease data base (‘TSN’). Data extracted included the date of detection, the date of confirmation, the location and the species of suids (domestic pigs and wild boar). Equivalent data for other affected countries were extracted from the European disease notification systems (ADNS, now ADIS). Cluster analysis was conducted to identify different spatial clusters in each of the countries and areas affected were estimated using the minimum convex polygon method.

Results
Several independent spatial clusters could be identified in Germany. Within these clusters, the disease spread differently over the time period of one year. The affected areas within the clusters showed similarities amongst each other and also with clusters from other countries. The implementation of different control measures resulted in the spread slowing down and leading to elimination of ASF in certain areas.

Conclusion
The occurrence of ASF in distinct spatial clusters was a challenge, indicating several independent introductions from Poland into Germany. This is different to Belgium and the Czech Republic, where only single point introduction occurred in each country. Despite this, achievements could be reached in some areas, where it seems that the disease has been brought under control.

Keywords
African swine fever, spread, surveillance, wild boar
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Title":"Dr.","FirstName":"Carola","LastName":"Sauter-Louis","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sauter-Louis C"},{"PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Title":"Dr. ","FirstName":"Katja","LastName":"Schulz","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Schulz K"},{"PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Title":"Dr. ","FirstName":"Michael","LastName":"Richter","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Richter M"},{"PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Title":"Dr. ","FirstName":"Ulf","LastName":"Klaaß","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Klaaß U"},{"PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Title":null,"FirstName":"Nadine","LastName":"Kakerow","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Kakerow N"},{"PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Title":"Prof. Dr. ","FirstName":"FJ","LastName":"Conraths","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Conraths F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Number":1,"Affiliation":"Friedrich-Loeffler-Institut","City":"Greifswald - Isle of Riems","State":"Germany","Country":"Germany","AffiliationDisplay":"Friedrich-Loeffler-Institut, Greifswald - Isle of Riems Germany, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Number":2,"Affiliation":"Saxon State Ministry of Social Affairs and Consumer Protection","City":"Dresden","State":null,"Country":"Germany","AffiliationDisplay":"Saxon State Ministry of Social Affairs and Consumer Protection, Dresden, Germany"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e42596de-8c20-4068-a28e-c071bf15f5b9","Number":3,"Affiliation":"Landesamt für Arbeitsschutz, Verbraucherschutz und Gesundheit","City":"Ruhlsdorf","State":null,"Country":"Germany","AffiliationDisplay":"Landesamt für Arbeitsschutz, Verbraucherschutz und Gesundheit, Ruhlsdorf, Germany"}],"AuthorsHtml":"Sauter-Louis C1, Schulz K1, Richter M2, Klaaß U3, Kakerow N3, Conraths F1","AffiliationsHtml":"
1Friedrich-Loeffler-Institut, Greifswald - Isle of Riems Germany, Germany
2Saxon State Ministry of Social Affairs and Consumer Protection, Dresden, Germany
3Landesamt für Arbeitsschutz, Verbraucherschutz und Gesundheit, Ruhlsdorf, Germany
"}],"DisplayName":"Carola Sauter-Louis","TimeDisplay":null},{"ContactId":"ff3d1eef-dc22-49bf-9a1b-30ad4fdc5a32","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Beth","LastName":"Savagar","Position":"Phd Student","Organization":"The Royal Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Beth is a PhD student at the Royal Veterinary College in the UK. Her PhD uses mathematical modelling to study the transmission of Peste des Petits Ruminants Virus (PPRV) in different endemic settings with a view to informing the design of PPR vaccination campaigns.

","Presentations":[{"Title":"Modelling the heterogeneity of small ruminant populations and the impact on vaccination effectiveness to achieve PPR elimination","Bio":"Beth is a PhD student at the Royal Veterinary College in the UK. Her PhD uses mathematical modelling to study the transmission of Peste des Petits Ruminants Virus (PPRV) in different endemic settings with a view to informing the design of PPR vaccination campaigns.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"3c6a5399-9575-44e3-b9b2-a2a51e8561a1","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"9_Special Session Part 1: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"8f0b2e66-5173-44a9-8d4e-d1e96492b9ae","Html":null,"PlainText":"Peste des Petits Ruminants (PPR) is an acute infectious disease affecting small ruminants throughout Africa, Asia and the Middle East, which has been targeted for eradication by 2030. The PPR Global Eradication Programme (PPR GEP) relies on mass vaccination campaigns, aiming for 70% coverage of diverse small ruminant populations.
Here, we investigate the impact of heterogeneity in small ruminant flock transmission potential on the effectiveness of the PPR GEP vaccination programme. The performance of different vaccination strategies in populations with varying degrees of heterogeneity is also explored.
A metapopulation model simulating PPR virus (PPRV) transmission in pastoral small ruminant populations of lowland Ethiopia was developed. The model was fitted to empirical serological data and incorporated heterogeneity in flock transmission potential. Three vaccination strategies were compared: (i) random, (ii) targeted (selection of high-risk flocks) and (iii) convenience (selection of accessible flocks) and, for each strategy, the minimal vaccination coverage to prevent viral circulation was assessed.
At 70% coverage, PPRV was eradicated in >95% simulations using a random or targeted vaccination strategy but remained endemic in 45-77% simulations under convenience vaccination. In heterogeneous populations, where 20% flocks accounted for 80% of transmission, targeting the most infectious flocks required only 15% coverage, compared to the 70% coverage required under random vaccination. The difference between the 3 vaccination strategies, in terms of the minimum vaccination coverage required to eliminate PPRV, increased with increasing population heterogeneity.
This research has implications for optimising PPRV vaccination programmes for different small ruminant populations, highlighting the importance of considering population structure when designing vaccination programmes. Future work should characterise small ruminant flock contact patterns to provide empirical data on the degree of heterogeneity in endemic populations. Further characterising the role of different flocks in PPRV dynamics, accounting for heterogeneity in flock demographics, will facilitate targeting of high-risk flocks.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"8f0b2e66-5173-44a9-8d4e-d1e96492b9ae","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cc12a156ea7745c0a1421bee9b4928a7","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"8f0b2e66-5173-44a9-8d4e-d1e96492b9ae","Title":"Miss","FirstName":"Beth","LastName":"Savagar","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Savagar B"},{"PresentationId":"8f0b2e66-5173-44a9-8d4e-d1e96492b9ae","Title":"Dr.","FirstName":"Guillaume","LastName":"Fournie","Position":"Senior Research Fellow","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Fournie G"},{"PresentationId":"8f0b2e66-5173-44a9-8d4e-d1e96492b9ae","Title":"Dr.","FirstName":"Mark","LastName":"Arnold","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Arnold M"},{"PresentationId":"8f0b2e66-5173-44a9-8d4e-d1e96492b9ae","Title":"Ms.","FirstName":"Bryony","LastName":"Jones","Position":"Senior Epidemiologist","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Jones B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f0b2e66-5173-44a9-8d4e-d1e96492b9ae","Number":1,"Affiliation":"The Royal Veterinary College","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"The Royal Veterinary College, London, United Kingdom"}],"AuthorsHtml":"Savagar B1, Fournie G, Arnold M, Jones B","AffiliationsHtml":"
1The Royal Veterinary College, London, United Kingdom
"}],"DisplayName":"Beth Savagar","TimeDisplay":null},{"ContactId":"2a2a652a-b462-4022-beba-bd5e3cb6e895","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Klara","LastName":"Saville","Position":"Head Of Global Animal Health","Organization":"Brooke","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evidencing the current state of Animal Health Systems in low and middle-income countries","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c3da4b58-e0d3-444a-9da4-234629371ecf","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.A - Capacity building in national veterinary service","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Html":null,"PlainText":"Key words: One Health, Animal Health Systems, Advocacy, Zoonoses, Sustainable Development Goals

Objective

One Health is an approach that recognises that the health of people is closely connected to the health of animals and the wider environment. Yet in many low and middle-income countries critical shortages in the veterinary workforce, medicines and vaccines, inadequate access to these services for communities, poor disease surveillance and welfare issues, make the concept difficult to operationalise. Partnering with Action for Animal Health (a global advocacy coalition), this study aims to provide an evidence review of global animal health systems based on key informant interviews with key experts in global animal health, supported by a comprehensive literature review.

Materials and methods

The study uses a mixed methods approach. Following a literature review, semi structured interviews with high-level experts will explore the state of animal health systems, including current and future barriers and opportunities to the operationalisation of One Health.

Results

Preliminary findings indicate that limited operationalisation of the One Health approach can be linked to low levels of public investment in animal health systems, and a lack of awareness in the public health and economic benefits. Further data for the study will be collected during February-May 2022.

Conclusion

The results from this study will inform future recommendations that the Action for Animal Health coalition provide to decision makers. It will highlight good practices, and areas for improvement, providing recommendations for further research and action.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Title":"Dr","FirstName":"Dorien","LastName":"Braam","Position":"PhD Scholar/Director","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Braam D"},{"PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Title":"Dr","FirstName":"Alex","LastName":"Tasker","Position":"Consultant","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Tasker A"},{"PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Title":"Ms.","FirstName":"Ellie","LastName":"Parravani","Position":"Senior Coalition Coordinator (Action for Animal Health)","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Parravani E"},{"PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Title":"Miss","FirstName":"Klara","LastName":"Saville","Position":"Head Of Global Animal Health","Affiliations":"4","IsPresenting":true,"SortOrder":4,"DisplayName":"Saville K"},{"PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Title":"Ms","FirstName":"Gemma","LastName":"Carder","Position":"Research Advisor","Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Carder G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Number":1,"Affiliation":"Department of Veterinary Medicine, University of Cambridge","City":"Cambridge","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Number":2,"Affiliation":"Department of Anthropology, University College London","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Anthropology, University College London, London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Number":3,"Affiliation":"Brooke","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Brooke, London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Number":4,"Affiliation":"Brooke","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Brooke, London, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"64ead0c6-5aa6-43d8-90b9-6f606c888dab","Number":5,"Affiliation":"Brooke","City":"London","State":null,"Country":"United Kingdom","AffiliationDisplay":"Brooke, London, United Kingdom"}],"AuthorsHtml":"Braam D1, Tasker A2, Parravani E3, Saville K4, Carder G5","AffiliationsHtml":"
1Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
2Department of Anthropology, University College London, London, United Kingdom
3Brooke, London, United Kingdom
4Brooke, London, United Kingdom
5Brooke, London, United Kingdom
"},{"Title":"Enabling stakeholders throughout the health care system to support primary equine care.","Bio":"\r\n\r\n\r\n\r\n","PresentationTypeName":"Special Session - Panel","Session":{"Id":"37900a0f-28bf-4055-9139-9e6300423525","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"3_Special Session Part 2: Systems Approaches to Promote Better Health for Animals, People and Ecosystems","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[],"Authors":[{"PresentationId":"894e3244-e524-46e0-9979-2dcec16cff2d","Title":"Mr.","FirstName":"Javed","LastName":"Iqbal","Position":"Programme Manager","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Iqbal J"}],"Affiliations":[],"AuthorsHtml":"Iqbal J","AffiliationsHtml":""}],"DisplayName":"Klara Saville","TimeDisplay":null},{"ContactId":"41b4ffde-6421-466c-89ae-7f976ef51e3c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kotaro","LastName":"Sawai","Position":null,"Organization":"National Institute of Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Epigenetic analysis of a classical swine fever virus outbreak in Japan between 2018 and 2020","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a1e1cd1d-6619-4ecf-9d28-05e2eb0547c3","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.E - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Html":null,"PlainText":"Keywords: CSF, genome, SNV
1. Objectives
In September 2018, an outbreak of classical swine fever (CSF) re-emerged in Japan after 26 years of absence. Using the whole genome sequence data of CSFVs identified in Japan, this study aimed to clarify the date of the initial introduction of CSFV into Japan and to identify how the virus spread during this epidemic.
2. Materials and methods
Whole-genome sequences were obtained from 65 infected farms and 93 infected wild boars found until February 2020. A time-scale phylogenetic analysis was performed to estimate the introduction date of CSFV into Japan and spread to the two distant areas inside Japan (Saitama and Okinawa). To trace the geographical diffusion process of the CSFV during this epidemic, single-nucleotide variants (SNV) analysis was conducted among these isolates.
3. Results
Phylogenetic analysis showed that the most recent common ancestor (MRCA) of the Japanese lineage emerged 146 days (85–216 days) before the detection of the index case. MRCAs of the epidemics in Saitama and Okinawa, which are distant from the index area, were estimated to have emerged 93 days and 34 days before the date of the detection of the first case in each region, respectively. SNVs analysis revealed that a single infection source accounts for the CSF outbreaks in these two remoted areas, whereas multiple infection sources were assumed to be associated with outbreaks that occurred in the Atsumi Peninsula, where nine infected farms were found within a radius of 10 km.
4. Conclusion
This study is the first to reveal the time lag between the date of virus introduction into Japan and the date of detection of CSFV during the 2018 outbreak. Furthermore, by demonstrating the variety of transmission routes and the possibility of long-distance spread of the disease, the study will contribute to improving disease control measures.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Title":"Mr.","FirstName":"Kotaro","LastName":"Sawai","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sawai K"},{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Title":"Dr.","FirstName":"Tatsuya","LastName":"Nishi","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Nishi T"},{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Title":"Dr.","FirstName":"Katsuhiko","LastName":"Fukai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Fukai K"},{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Title":"Ms.","FirstName":"Tomoko","LastName":"Kato","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Kato T"},{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Title":"Dr.","FirstName":"Yoko","LastName":"Hayama","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Hayama Y"},{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Title":"Mr.","FirstName":"Yoshinori","LastName":"Murato","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Murato Y"},{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Title":"Dr.","FirstName":"Emi","LastName":"Yamaguchi","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Yamaguchi E"},{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Title":"Mrs.","FirstName":"Sonoko","LastName":"Kondo","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Kondo S"},{"PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Title":"Dr.","FirstName":"Takehisa","LastName":"Yamamoto","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Yamamoto T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2e4be4d1-9e43-4e0f-a9fd-cfac8b421673","Number":1,"Affiliation":"Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization","City":"Tsukuba","State":"Ibaraki","Country":"Japan","AffiliationDisplay":"Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba Ibaraki, Japan"}],"AuthorsHtml":"Sawai K1, Nishi T1, Fukai K1, Kato T1, Hayama Y1, Murato Y1, Yamaguchi E1, Kondo S1, Yamamoto T1","AffiliationsHtml":"
1Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba Ibaraki, Japan
"}],"DisplayName":"Kotaro Sawai","TimeDisplay":null},{"ContactId":"28d5411e-34fd-4770-917f-924e096beac2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Rachel","LastName":"Schambow","Position":"","Organization":"University of Minnesota","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/400fd8a9b74f4243b1c4dc8bffbda79a","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Modeling the accuracy of a novel ELISA for African swine fever virus antibody and PCR using Bayesian latent class analysis","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a72e676e-c7d7-4b76-8c8c-1c734d9b93aa","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.C - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"36c685ee-1bb0-402c-9094-60fcef015c1a","Html":null,"PlainText":"Background: Traditionally, the accuracy of new or alterative diagnostic tests is determined by comparison to a gold standard reference test. For African swine fever virus (ASFV), no suitable gold standard reference exists, creating difficulty in evaluating new diagnostic assays. Bayesian latent class analysis (BLCA) uses the results of multiple imperfect tests applied to an individual to estimate the diagnostic sensitivity and specificity of each test, forgoing the need for a gold standard reference.

Objectives: We used BLCA to assess the diagnostic sensitivity and specificity of a novel indirect ELISA (iELISA) for ASFV antibody and a real-time qPCR assay on paired serum and oral fluid samples.

Methods: Using a cross-sectional design, 398 paired serum/oral fluid samples were collected from individual pigs in Vietnam, including 198 from ASF-acutely or chronically affected farms and 200 from ASF-unaffected farms. Samples were tested using the ASF-Ab iELISA (Innoceleris LLC. and Tetracore Inc) and qPCR (Tetracore Inc.) assays. Sensitivity and specificity were estimated by fitting a four test-three population model assuming dependence between serum/oral fluids tested using the same assay.

Results: Median posterior estimates for the sensitivity of qPCR were higher for both serum (70.3%, CI95% 63.9-76.0%) and oral fluids (53.9%, CI95% 46.7-61.0%) than of the iELISA (serum: 46.2%, CI95% 39.4-52.9%; oral fluids: 36.0%, CI95% 29.7-42.9%). Sensitivity using oral fluids was slightly worse for each test than serum. Specificity was high for each test and sample type, ranging from 98.5-99.6%. iELISA using serum and oral fluids were highly correlated. Posterior estimates were robust against changes in prior distributions.

Conclusion: Both tests and sample types performed with high specificity, though sensitivity estimates indicate that these tests may perform better using herd-level detection strategies than when applied to individual animals. Sensitivity here was likely influenced by timing of disease in individual animals and other factors.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"36c685ee-1bb0-402c-9094-60fcef015c1a","Title":"Dr.","FirstName":"Rachel","LastName":"Schambow","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Schambow R"},{"PresentationId":"36c685ee-1bb0-402c-9094-60fcef015c1a","Title":"Dr.","FirstName":"Luis","LastName":"Gimenez-Lirola","Position":"Associate Professor","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Gimenez-Lirola L"},{"PresentationId":"36c685ee-1bb0-402c-9094-60fcef015c1a","Title":"Prof","FirstName":"Andres","LastName":"Perez","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Perez A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36c685ee-1bb0-402c-9094-60fcef015c1a","Number":1,"Affiliation":"Veterinary Population Medicine, College of Veterinary Medicine, University Of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"Veterinary Population Medicine, College of Veterinary Medicine, University Of Minnesota, St. Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36c685ee-1bb0-402c-9094-60fcef015c1a","Number":2,"Affiliation":"Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, St. Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"36c685ee-1bb0-402c-9094-60fcef015c1a","Number":3,"Affiliation":"Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University","City":"Ames","State":"IA","Country":"USA","AffiliationDisplay":"Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames IA, USA"}],"AuthorsHtml":"Schambow R1,2, Gimenez-Lirola L3, Perez A1,2","AffiliationsHtml":"
1Veterinary Population Medicine, College of Veterinary Medicine, University Of Minnesota, St. Paul MN, USA
2Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, St. Paul MN, USA
3Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames IA, USA
"},{"Title":"Using SWOT analysis to evaluate potential controls strategies for African Swine Fever in the Dominican Republic","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Html":null,"PlainText":"“African swine fever”/“SWOT analysis”/“Dominican Republic”/control/strategies

The African swine fever (ASF) epidemic in pigs in the Dominican Republic (DR) has generated much discussion about the various measures for its control. Strategies range from complete depopulation of the swine population, as in 1978, to a system of passive surveillance with endemicity, with many in-between. Currently, ASF-decision makers need an evaluation of these potential strategies that incorporates both private and public perspectives.

To achieve this goal, we used strengths, opportunities, weaknesses, and threats (SWOT) analysis to evaluate theoretical control scenarios, including components of detection and elimination of ASF, with the aim of contributing to the discussion different alternatives to mitigate the epidemic’s impact.

Relevant experts from the DR private swine industry sector were identified through “snowball sampling\" techniques. First, stakeholders were asked to identify individuals that they would consider experts for ASF in the DR. Once an individual was identified over the threshold, they were contacted to participate. Experts that agreed to participate were administered a SWOT questionnaire for each scenario, with additional questions considering aspects of financial cost, social impact, feasibility, animal welfare, and regional policy. The responses were categorized and analyzed for common themes and summarized for an overall evaluation of each scenario.

The SWOT analysis highlighted that although there are certain benefits associated with each of the proposed strategies, there are also important drawbacks and disadvantages for all. This may explain in part why 6 months after the epidemic was first reported, there is still uncertainty about the most effective control strategy to be implemented.

This analysis is a tool for discussions at the private-public interface and facilitate cooperation between the DR government and swine industry. Ultimately, this work supports the development of strategies that will reduce ASF burden in the DR in a way suitable for all relevant stakeholders.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Title":"Dr.","FirstName":"Rachel","LastName":"Schambow","Position":"","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Schambow R"},{"PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Title":"Dr.","FirstName":"Raysa","LastName":"Reyes","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Reyes R"},{"PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Title":"Mrs.","FirstName":"Daniella","LastName":"Schettino","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Schettino D"},{"PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Title":null,"FirstName":"José","LastName":"Morales","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Morales J"},{"PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Title":null,"FirstName":"Alan","LastName":"Diaz","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Diaz A"},{"PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Title":"Prof","FirstName":"Andres","LastName":"Perez","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Perez A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Number":1,"Affiliation":"Veterinary Population Medicine, College of Veterinary Medicine, University Of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"Veterinary Population Medicine, College of Veterinary Medicine, University Of Minnesota, St. Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Number":2,"Affiliation":"Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, St. Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"417f0657-a2ca-444f-9334-65e7b3ce1445","Number":3,"Affiliation":"Escuela de Medicina Veterinaria, Universidad Autónoma de Santa Domingo","City":"Santa Domingo","State":null,"Country":"Dominican Republic","AffiliationDisplay":"Escuela de Medicina Veterinaria, Universidad Autónoma de Santa Domingo, Santa Domingo, Dominican Republic"}],"AuthorsHtml":"Schambow R1,2, Reyes R3, Schettino D1,2, Morales J3, Diaz A3, Perez A1,2","AffiliationsHtml":"
1Veterinary Population Medicine, College of Veterinary Medicine, University Of Minnesota, St. Paul MN, USA
2Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, St. Paul MN, USA
3Escuela de Medicina Veterinaria, Universidad Autónoma de Santa Domingo, Santa Domingo, Dominican Republic
"}],"DisplayName":"Rachel Schambow","TimeDisplay":null},{"ContactId":"20f82d28-4226-448d-8ac1-a4d12f9df478","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Daniel","LastName":"Schar","Position":"","Organization":"Universite Libre De Bruxelles","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Twenty-year trends in antimicrobial resistance from aquaculture and fisheries in Asia","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"42d30cc8-6b12-409f-923e-ad120d6ae806","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Html":null,"PlainText":"Objectives:

Antimicrobial resistance (AMR) is a growing threat to human and animal health. However, in aquatic animals—the fastest growing food animal sector globally—AMR trends are seldom documented, particularly in Asia, which contributes two-thirds of global food fish production. We reviewed current evidence on AMR in farmed and wild-caught aquatic food animals over two decades in Asia.

Materials and methods:

We conducted a systematic review and meta-analysis of 749 point prevalence surveys reporting antibiotic-resistant bacteria from aquatic food animals in Asia, extracted from 343 articles published in 2000–2019 and yielding 12,698 individual pathogen-drug resistance rates. We map AMR at 10-kilometers resolution in freshwater and marine environments.

Results:

In aquaculture, the percentage of antimicrobial compounds per survey with resistance exceeding 50% (P50) plateaued at 33% [95% confidence interval (CI) 28 to 37%] between 2000 and 2018. In fisheries, P50 decreased from 52% [95% CI 39 to 65%] to 22% [95% CI 14 to 30%]. Resistance hotspots were identified along Asia’s major river systems and coastal waters of China and India. Regions benefitting most from future surveillance efforts are eastern China and India.

Conclusion:

We find concerning levels of resistance to medically important antimicrobials in foodborne pathogens. Elevated multi-drug resistance is already present in farmed aquatic animals intended for human consumption. Our findings provide an initial assessment of the geographic distribution of resistance hotspots from aquatic animals entering the human food supply in the world’s most productive aquaculture and fisheries region. Scaling up surveillance to strengthen epidemiological evidence on AMR and inform aquaculture and fisheries interventions is needed to mitigate the impact of AMR globally.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4efd4362d9dd4743a9c135e26cc33024","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Title":"Dr.","FirstName":"Daniel","LastName":"Schar","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Schar D"},{"PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Title":"Ms.","FirstName":"Cheng","LastName":"Zhao","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Zhao C"},{"PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Title":"Ms.","FirstName":"Yu","LastName":"Wang","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Wang Y"},{"PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Title":"Professor","FirstName":"D.G. Joakim","LastName":"Larsson","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Larsson D"},{"PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Title":"Professor","FirstName":"Marius","LastName":"Gilbert","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Gilbert M"},{"PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Title":"Professor","FirstName":"Thomas","LastName":"Van Boeckel","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Van Boeckel T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Number":1,"Affiliation":"Universite Libre De Bruxelles","City":"Brussels","State":null,"Country":"Belgium","AffiliationDisplay":"Universite Libre De Bruxelles, Brussels, Belgium"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Number":2,"Affiliation":"ETH Zurich","City":"Zurich","State":null,"Country":"Switzerland","AffiliationDisplay":"ETH Zurich, Zurich, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"534ceaaf-8b2b-4f58-ace5-c34ba66b3261","Number":3,"Affiliation":"University of Gothenburg","City":"Gothenburg","State":null,"Country":"Sweden","AffiliationDisplay":"University of Gothenburg, Gothenburg, Sweden"}],"AuthorsHtml":"Schar D1, Zhao C2, Wang Y2, Larsson D3, Gilbert M1, Van Boeckel T2","AffiliationsHtml":"
1Universite Libre De Bruxelles, Brussels, Belgium
2ETH Zurich, Zurich, Switzerland
3University of Gothenburg, Gothenburg, Sweden
"}],"DisplayName":"Daniel Schar","TimeDisplay":null},{"ContactId":"fc8ca160-16e8-4c24-a70a-0acd9b359436","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Karl","LastName":"Schenkel","Position":"Epidemiologist","Organization":"World Health Organization","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f8fcee02417f4240aeeaed69637bde8f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Karl Schenkel MSC, DTMPH
Summary biography
Medical epidemiologist working for the new surveillance systems department of the WHO Emergencies Programme Geneva. My tasks are related to health information management in emergencies, including the development of a global WHO surveillance strategy, developing technical guidance for Early Warning and Response, surveillance systems evaluation and data sharing, and tools for outbreak investigations, and strengthening the health workforce for surveillance and epidemiology.

Together with the Tripartite Organizations, I am coordinating a three year project with the objective to develop multisectoral Tripartite One Health field epidemiology competencies and curriculum guidance at the human-animal-environmental interface.

Further activities in the field of One Health include a Quadripartite One Health Intelligence Scoping study.

Trained as a medical doctor, and after clinical specialization as a GP I conducted a master studies on International Health with a focus on communicable diseases epidemiology and disease control. I have worked as a research fellow in communicable diseases epidemiology at the Robert Koch Institute (RKI), Berlin, Germany, including a 2-year applied field epidemiology training programme and have been joining WHO in 2016.
","Presentations":[{"Title":"Advancing Global One Health Intelligence","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"d7d26eb7-65b0-4ca0-968f-d5d73c8f2d1e","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.E - Global Health Security","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Html":null,"PlainText":"Objectives
The One Health Intelligence (OHI) Scoping Study is a collaborative effort of the ‘Tripartite and UNEP’ (Tripartite+) alliance of the Food and Agricultural Organisation of the United Nations (FAO), World Health Organisation (WHO), the World Organisation of Animal Health (OIE) and the United Nations Environment Programme (UNEP). The study is developing a high-level framework and system design prioritising equitable and effective information sharing between study partners and also to advise the One Health High Level Expert Panel (OHHLEP).

Materials and methods
A structured scoping of existing information sharing mechanisms and systems at the Tripartite+ level was conducted to identify functions, synergies, limitations and opportunities for better collaboration and interoperability. The study builds from a series of activities to build a credible evidence base for future action. The framework design work was supplemented by a literature review and engagement with external experts, including the OHHLEP.

Results
At the Tripartite+ level, a wide variety of existing information systems and intelligence sources from multiple sectors was identified. Of those, to date only few are linked for the purpose of multisectoral early detection and risk assessment. Results of a literature review are being analysed.

Conclusion
To date, notable gaps exist with regard to multisectoral information sharing and interoperability of existing OHI systems. A huge variety of intelligence sources from multiple sectors is available but remains largely disconnected. More insight is needed to determine countries’ needs, best practices, and barriers for multisectoral information sharing at the global level. The Tripartite+ is in a unique position to advance global OHI, through linking their efforts and data in the human, animal and environmental health sectors.

Key words: One Health, One Health Intelligence, multisectoral information sharing, Tripartite+","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":"Mr.","FirstName":"Karl","LastName":"Schenkel","Position":"Epidemiologist","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Schenkel K"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"John","LastName":"Weaver","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Weaver J"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Paula","LastName":"Caceres-Soto","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Caceres-Soto P"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Charlotte","LastName":"Hicks","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Hicks C"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Dunia","LastName":"Selenic Minet","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Selenic Minet D"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Daniel","LastName":"Donachie","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Donachie D"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Guillaume","LastName":"Belot","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Belot G"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Andrea","LastName":"Capobianco Dondona","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":8,"DisplayName":"Capobianco Dondona A"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Andrea","LastName":"Carvelli","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":9,"DisplayName":"Carvelli A"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Nigel","LastName":"Gibbens","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":10,"DisplayName":"Gibbens N"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Fairouz","LastName":"Larfoui","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":11,"DisplayName":"Larfoui F"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Jas","LastName":"Mantero","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":12,"DisplayName":"Mantero J"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Catherine","LastName":"McGillycuddy","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":13,"DisplayName":"McGillycuddy C"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":"Dr","FirstName":"Petra","LastName":"Muellner","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":14,"DisplayName":"Muellner P"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Uli","LastName":"Muellner","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":15,"DisplayName":"Muellner U"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":null,"FirstName":"Joergen","LastName":"Schlundt","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":16,"DisplayName":"Schlundt J"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":"Dr.","FirstName":"Sharon","LastName":"Calvin","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":17,"DisplayName":"Calvin S"},{"PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Title":"Ms.","FirstName":"Madhur","LastName":"Saharan Dhingra","Position":"Senior Animal Health Officer, Emergency Prevention System For Animal Health","Affiliations":null,"IsPresenting":true,"SortOrder":18,"DisplayName":"Saharan Dhingra M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1f6f1bda-8ef8-42bb-9240-5a82e78fe40e","Number":1,"Affiliation":"WSE, WHO Headquaters","City":"Geneva","State":"Canton Geneva","Country":"Switzerland","AffiliationDisplay":"WSE, WHO Headquaters, Geneva Canton Geneva, Switzerland"}],"AuthorsHtml":"Schenkel K, Weaver J, Caceres-Soto P, Hicks C, Selenic Minet D, Donachie D, Belot G, Capobianco Dondona A, Carvelli A, Gibbens N, Larfoui F, Mantero J, McGillycuddy C, Muellner P, Muellner U, Schlundt J, Calvin S, Saharan Dhingra M","AffiliationsHtml":"
1WSE, WHO Headquaters, Geneva Canton Geneva, Switzerland
"},{"Title":"Challenges and future direction for applied Tripartite One Health Field Epidemiological competencies ","Bio":"Dr. Karl Schenkel MSC, DTMPH\r\nSummary biography\r\nMedical epidemiologist working for the new surveillance systems department of the WHO Emergencies Programme Geneva. My tasks are related to health information management in emergencies, including the development of a global WHO surveillance strategy, developing technical guidance for Early Warning and Response, surveillance systems evaluation and data sharing, and tools for outbreak investigations, and strengthening the health workforce for surveillance and epidemiology. \r\n\r\nTogether with the Tripartite Organizations, I am coordinating a three year project with the objective to develop multisectoral Tripartite One Health field epidemiology competencies and curriculum guidance at the human-animal-environmental interface. \r\n\r\nFurther activities in the field of One Health include a Quadripartite One Health Intelligence Scoping study. \r\n\r\nTrained as a medical doctor, and after clinical specialization as a GP I conducted a master studies on International Health with a focus on communicable diseases epidemiology and disease control. I have worked as a research fellow in communicable diseases epidemiology at the Robert Koch Institute (RKI), Berlin, Germany, including a 2-year applied field epidemiology training programme and have been joining WHO in 2016.\r\n","PresentationTypeName":"Special Session - Panel","Session":{"Id":"3cf91aab-335f-4e90-aa43-863c1cf33ce0","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"6_Special Session Part 2: Strengthening Veterinary Epidemiology and One Health Capacity","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"58afa3af-17bf-4c92-b39a-fbecdf5fc4c1","Html":null,"PlainText":"Panel Discussion:
Dr Karl Schenkel
World Health Organization (WHO)

Dr Barbara Alessandrini
World Organisation for Animal Health (WOAH)

Dr Marion Muehlen
World Health Organization (WHO)

Dr Heather Simmons
World Organisation for Animal Health (WOAH)

Dr Stacie E. Dunkle
Food and Agriculture Organization of the United Nations (FAO) / World Health Organization (WHO)

Dr Navneet Dhand
Food and Agriculture Organization of the United Nations (FAO) / The University Of Sydney


Objectives: Recent epidemics and pandemics have shown the need for a multi-sectoral, interdisciplinary epidemiology workforce with a wide range of competencies. Field epidemiologists play a vital role in surveillance, field investigation, preparedness and response to biothreats. We aimed to define One Health (OH) field epidemiology (FE) competencies for the public, animal, and environment health sectors at the frontline, intermediate, and advanced levels.

Methods: A joint Tripartite (FAO, OIE, WHO) working group conducted desktop reviews of existing competencies and curricula of field epidemiology training programs (FETPs) and FETPs for veterinarians (FETPVs) to organize them into thematic areas, domains, and subdomains. The group met weekly for 6 months to further elaborate on the set of competencies for each domain/subdomain. We conducted an online survey among existing FETP(V)s to identify and define current FETP(V) competencies. We then developed a competency framework defining OH competencies for frontline, intermediate and advanced epidemiologists. Specific competencies for public health, veterinary public health, and environmental health were included. We convened a technical advisory group of 59 international experts, including from the environmental sector, meeting remotely over 2 months to review and validate and prioritize the proposed competencies, and add competencies considered missing.

Results: Competencies were grouped into 14 domains with 76 subdomains. More than 300 FE competencies were identified at frontline level, an additional 280 at intermediate, and another 324 at advanced levels. The working group proposed Ecosystem Health as an additional, separate domain.

Conclusion: Given the important roles of epidemiologists in the field, it is essential to ensure that they receive competency-based training associated with their position. Domains and core competencies identified through this collaborative review will be used to propose a progressive curricular pathway for OH field epidemiology competencies at all three levels.

Key Words: Field Epidemiology, One Health, Workforce Development, Competency, Training
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"58afa3af-17bf-4c92-b39a-fbecdf5fc4c1","Title":"Ms.","FirstName":"Marion","LastName":"Muehlen","Position":null,"Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Muehlen M"},{"PresentationId":"58afa3af-17bf-4c92-b39a-fbecdf5fc4c1","Title":"Mr.","FirstName":"Karl","LastName":"Schenkel","Position":"Epidemiologist","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Schenkel K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"58afa3af-17bf-4c92-b39a-fbecdf5fc4c1","Number":1,"Affiliation":"World Health Organization","City":"Geneva","State":"Canton Geneva","Country":"France","AffiliationDisplay":"World Health Organization, Geneva Canton Geneva, France"}],"AuthorsHtml":"Muehlen M, Schenkel K","AffiliationsHtml":"
1World Health Organization, Geneva Canton Geneva, France
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The aim of this study was to estimate the global economic value of livestock and aquatic farmed animals, with a focus on the value of live animals and primary production outputs (e.g., meat, eggs, milk). To achieve this, we introduce the framework of the Total Economic Value of farmed animals. Within this framework the direct use value of farmed animals (i.e., market value) is estimated, which comprises asset values (i.e., live animals) and output values (e.g., meat, eggs, milk).
The results suggest that livestock production, specifically the cattle sector, dominates the global farm production value while the aquaculture value remains minor compared to global livestock (and crop) production. The results also suggest that chicken and pigs are mostly produced for the output value they generate (e.g., meat, eggs), while for cattle and sheep both asset value and output value remain globally important. The results demonstrate the need for improved global data as a basis to inform decision making about the global farmed animal sector.
The findings emphasize the economic importance of the livestock sector for global food security, nutrition, and livelihoods but also highlight the need to consider additional livestock benefits to society such as finance/insurance value and non-market values (e.g., value of genetic breeding pool, cultural values).
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1CSIRO, St Lucia, Brisbane QLD, Australia
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Method development followed a uniform multi-stage process. Scientific literature was systematically reviewed to identify potential health and welfare indicators for cattle, sheep, goats, pigs and poultry. Suitable indicators were applied in the field and compared with outcomes of the Welfare Quality® scores of a given farm. To identify farms at risk for violations of animal welfare regulations, several agricultural and animal health databases were interconnected and various supervised machine-learning techniques were applied to model the status of farms.
Literature reviews identified a variety of indicators for the different species, some of which are well established and widely used in the field, while others lack reliability or practicability or still need further validation. Data quality and availability strongly varied between animal species, with most data available for dairy cows and pigs. The machine-learning techniques used to predict farms for risk-based animal welfare inspections reached similar classification performances with sensitivities above 80%. The most important predictors were participation in federal ecological and animal welfare programs, farm demographics and farmers’ notification discipline for animal movements.
A common method with individual sets of indicators was developed for each species. The results show that models based on proxy data can achieve high correlations with animal health and welfare. Nevertheless, for sufficient validity, a combination of data-based indicators and on-farm assessments is needed. For a broad implementation of the method, a time-saving on-farm data collection is required whereby smart farming technologies have shown to be a promising approach.
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1Veterinary Public Health Institute, University of Bern, Bern BE, Switzerland
2Identitas AG, Bern BE, Switzerland
3Research Division Competitiveness and System Evaluation, Agroscope, Ettenhausen TG, Switzerland
4Centre for Proper Housing of Ruminants and Pigs, Federal Food Safety and Veterinary Office, Ettenhausen TG, Switzerland
"}],"DisplayName":"Gertraud Schüpbach-Regula","TimeDisplay":null},{"ContactId":"5abfd8da-8bfe-46a3-84f4-4c2a9d2ce7a5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Danielle","LastName":"Scott","Position":"Veterinarian, Phd (epi) Candidate), Preventive Medicine Resident","Organization":"Colorado State University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c443a33899f349a09c797a01b17c06f1","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Environmentally sustainable business initiatives may support veterinary staff wellbeing and retention","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"afb8121a-5b26-47ff-95d1-70854573ca89","Html":null,"PlainText":"Objective: Veterinary technicians play an important role in the operation of practices and therefore have potential to be key players in promoting environmental sustainability in veterinary medicine. The objective of this study was three-fold: to explore (1) technician views on the perceived health effects of climate change and its associated risks to pets; (2) the role the profession has in addressing climate change and health; and (3) identify available education on this topic accessible to technicians.

Methods: An anonymous survey was developed to gather input from certified veterinary technicians, non-licensed technicians and assistants, and technician students. A survey addressing the study objectives was distributed to practices throughout the United States, at AVMA accredited technician programs, and through technician social media pages. All responses were anonymous and no question required a response. Percentages were calculated out of total responses per question.

Results: There were 545 responses to the survey. Overall, veterinary support staff feel strongly that climate change is occurring and is directly related to patient health. Respondents indicated that staff should be knowledgeable about the effects climate change has on pet health, yet there is a significant lack of education on this topic in technician curriculum. Respondents believe sustainability in veterinary medicine should be a priority and they would choose practices that prioritize sustainable business initiatives over those that do not.

Conclusion: This study builds on previous work highlighting the concern veterinary professionals have about the animal health impacts of climate change. Veterinary support staff have the potential to meaningfully contribute to climate change adaptation and mitigation efforts but require resources to help them achieve this goal. This study also supports previous work suggesting that sustainable business practices may offer a financial incentive for practice owners through increased staff retention.

Keywords: Climate change, sustainability, veterinary technician, education, sustainable business","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"afb8121a-5b26-47ff-95d1-70854573ca89","Title":"Mrs.","FirstName":"Danielle","LastName":"Scott","Position":"Veterinarian, Phd (epi) Candidate), Preventive Medicine Resident","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Scott D"},{"PresentationId":"afb8121a-5b26-47ff-95d1-70854573ca89","Title":"Dr.","FirstName":"Colleen","LastName":"Duncan","Position":"Faculty","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Duncan C"},{"PresentationId":"afb8121a-5b26-47ff-95d1-70854573ca89","Title":null,"FirstName":"Lyn","LastName":"Davis","Position":"Veterinary Student","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Davis L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"afb8121a-5b26-47ff-95d1-70854573ca89","Number":1,"Affiliation":"Colorado State University","City":"Fort Collins","State":"CO","Country":"USA","AffiliationDisplay":"Colorado State University, Fort Collins CO, USA"}],"AuthorsHtml":"Scott D1, Duncan C1, Davis L1","AffiliationsHtml":"
1Colorado State University, Fort Collins CO, USA
"}],"DisplayName":"Danielle Scott","TimeDisplay":null},{"ContactId":"13efa7d5-fe11-483f-a58a-113593d8a5a1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Derrick Noah","LastName":"Sentamu","Position":"Consultant","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5237f8915c5744bdbc1fe9aee6c248b1","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Prevalence of welfare associated lesions and pig handling practices and their association with pork quality, Nairobi, Kenya.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"ce8286a6-6258-413f-8bc9-430d7ce0277e","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.E - Food Safety","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ace275ed-9a27-41ee-b01c-f8a71b83fd7c","Html":null,"PlainText":"Pre-slaughter treatment of pigs affects the quality of meat, however, there are no studies to date investigating this relationship in the Kenyan context. This study aimed to determine the prevalence of welfare lesions and detrimental welfare practices on pigs for slaughter, and to analyze the relationship between these and meat quality at a non-integrated pig slaughterhouse in Kenya. This data was obtained by examining 529 pig carcasses and 387 Biceps femoris meat samples to determine meat quality in terms of meat pH24, color and EZ Drip loss. Pork was then categorized into one of four recognized categories: Red, Firm, Non-exudative (RFN), Pale Soft Exudative (PSE) Dark Firm Dry (DFD) and Red Soft Exudative (RSE)
99.61% (95% C.I. 98.43 – 99.93%) of the pigs were insufficiently stunned based on the presence of signs of consciousness, post-stunning. 82.97% (95% C.I. 79.34 – 86.09 %) had one or more welfare-associated lesions, ear marks being the most prevalent. 5.4% (95% C.I. 5.48 – 10.26%) were transported to the slaughterhouse tied to motor bikes and bicycles, while 27.44% (95% C.I. 23.59 – 31.65%) were transported under conditions of high loading density. Approximately half, 47.98% (95% C.I. 43.61 – 52.37%) were slaughtered on the day of purchase.
16.52% (95% C.I. 13.05 – 20.70%) of the pork meat samples were classified as sub-optimal quality including; RSE (11.36 %, 95% CI. 8.47 – 15.06%), PSE (2.58%, 95% C.I. 1.32 – 4.85%) and DFD (2.58%, 95% C.I. 1.32 – 4.85%).
Multinomial logistic regression revealed significant associations between; slaughtering pigs on the day of purchase and obtaining RSE pork (Odds Ratio 3.66 (95% CI 1.44 - 9.30)); and transporting pigs at a high loading density and obtaining DFD pork (OR 14.0 (95% CI 2.73-72.15)). These results indicate the need to educate pork value chain stakeholders on improved pig handling.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ace275ed-9a27-41ee-b01c-f8a71b83fd7c","Title":"Dr.","FirstName":"Derrick Noah","LastName":"Sentamu","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sentamu D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ace275ed-9a27-41ee-b01c-f8a71b83fd7c","Number":1,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":"Nairobi ","Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi Nairobi , Kenya"}],"AuthorsHtml":"Sentamu D1","AffiliationsHtml":"
1International Livestock Research Institute, Nairobi Nairobi , Kenya
"}],"DisplayName":"Derrick Noah Sentamu","TimeDisplay":null},{"ContactId":"a61983e9-1d95-4190-a513-af919ed0e724","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Paulina","LastName":"Sepulveda","Position":"Risk Factors Associated With Bartonella Spp. Transmission In Cats And Their Owners","Organization":"Universidad Austral","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Risk factors associated with Bartonella spp. transmission in cats and their owners ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"5f5568b1-ed47-4f9f-ab4d-db8ff06078ec","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.E - Epidemiology of vector-borne diseases","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Html":null,"PlainText":"The aim of the present study was to assess the risk factors associated with the Bartonella spp. infection and exposure in domestic cats and their owners in Valdivia, Chile. A convenience sampling of 337 humans and 463 cats were performed, of which were obtained samples of 134 cats with their respective owners (n=150) distributed in 84 households.
Bartonella spp. exposure in humans and infection in cats was assessed by IFA and qPCR techniques, respectively.
A seroprevalence of 4.7% was estimated in the human population, while all human samples were negative by qPCR. Conversely, a Bartonella spp. cats infection of 17.1% was estimated.
The potential risk factors assessed to Bartonella spp. exposure in humans were non-statistically significant, among them: cats ownership, dogs or cats contact, have been scratched or bitten by cats, the presence of the Bartonella spp. infected cats in the households, manifestation of symptoms consistent with atypical and classic CSD. Nonetheless, is important to denote that all seropositive humans have been in contact with cats and or dogs. Otherwise, was found a higher risk of Bartonella spp. infection in cats lower than one year (OR 3.6, CI 95% 1.9 – 6.7).
By household, was observed that 7.3% showed at least one Bartonella seropositive member. Meanwhile, in 29.7% of the households was found at least one Bartonella spp. infected cats. The risk factor analysis did not report a significant association between the presence of the infected cat in the household and Bartonella spp. seropositivity in cat owners.
Based on the present result we can infer a lower occurrence of transmission of Bartonella spp. among cats and their owner. In addition, is suggested that also other variables (nonrelated with the cat ownership) could be considered to be involved in human Bartonella spp. transmission.


Keywords: Bartonellosis, CSD, Bartonella spp.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Title":"Ms.","FirstName":"Paulina","LastName":"Sepulveda","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sepulveda P"},{"PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Title":"Dr.","FirstName":"Luiz","LastName":"Goncalves","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Goncalves L"},{"PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Title":"Dr.","FirstName":"Marcos","LastName":"André","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"André M"},{"PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Title":"Dr.","FirstName":"Rosangela","LastName":"Machado","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Machado R"},{"PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Title":"Dr.","FirstName":"Gustavo","LastName":"Monti","Position":"Professor","Affiliations":"1,4","IsPresenting":false,"SortOrder":5,"DisplayName":"Monti G"},{"PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Title":"Dr.","FirstName":"Ananda","LastName":"Muller","Position":"Professor","Affiliations":"1,3","IsPresenting":false,"SortOrder":6,"DisplayName":"Muller A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Number":1,"Affiliation":"Institute of Veterinary Preventive Medicine, Austral University of Chile","City":"Valdivia","State":"Valdivia","Country":"Chile","AffiliationDisplay":"Institute of Veterinary Preventive Medicine, Austral University of Chile, Valdivia Valdivia, Chile"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Number":2,"Affiliation":"Department of Pathology, Reproduction and One Health, Estadual Paulista University","City":"Jaboticabal ","State":"Sao Pablo","Country":"Brazil","AffiliationDisplay":"Department of Pathology, Reproduction and One Health, Estadual Paulista University, Jaboticabal Sao Pablo, Brazil"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Number":3,"Affiliation":"Department of Biomedical Sciences, Ross University School of Veterinary Medicine","City":"Baseterre","State":"Baseterre","Country":"Saint Kitts and Nevis","AffiliationDisplay":"Department of Biomedical Sciences, Ross University School of Veterinary Medicine, Baseterre Baseterre, Saint Kitts and Nevis"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9339968a-3c73-42a6-bf20-76731b48358a","Number":4,"Affiliation":"Quantitative Veterinary Epidemiology, Wageningen University & Research","City":"Wageningen","State":"Gelderland","Country":"Netherlands","AffiliationDisplay":"Quantitative Veterinary Epidemiology, Wageningen University & Research, Wageningen Gelderland, Netherlands"}],"AuthorsHtml":"Sepulveda P1, Goncalves L2, André M2, Machado R2, Monti G1,4, Muller A1,3","AffiliationsHtml":"
1Institute of Veterinary Preventive Medicine, Austral University of Chile, Valdivia Valdivia, Chile
2Department of Pathology, Reproduction and One Health, Estadual Paulista University, Jaboticabal Sao Pablo, Brazil
3Department of Biomedical Sciences, Ross University School of Veterinary Medicine, Baseterre Baseterre, Saint Kitts and Nevis
4Quantitative Veterinary Epidemiology, Wageningen University & Research, Wageningen Gelderland, Netherlands
"}],"DisplayName":"Paulina Sepulveda","TimeDisplay":null},{"ContactId":"73adb77c-6bc3-40d4-be37-52e9cb96232a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kgomotso Galian","LastName":"Setsetse","Position":"PhD candidate","Organization":"North West University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a09576e80a7e4c619d2c299443806de4","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The risk associated with the variability of endogenous and exogenous factors on toxigenic Aspergillus species in broiler feed","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c2c3f31c-1621-4cfc-bb68-ae2093341580","Html":null,"PlainText":"Background of the study.
In South Africa, few studies on mycotoxins in poultry feed are reported (FAO,2012). The nature and presence of mycotoxins in South African animal feed should be an ongoing matter since some of these mycotoxins are found in animal products from animals that consume feeds contaminated with mycotoxins. Despite an increased interest in mycotoxins contamination and their health effects, only a few studies covered the scope of Mycobiota and mycotoxins in poultry feed in the country (Dutton et al., 2012). The situation of poultry feeds contamination by mycotoxins has an imminent potential to negatively affect poultry health and performance (Palumbo et al., 2008). Hence the study's objectives were as follows;
1. Isolated and molecularly characterize Aspergillus species in different broiler feed under changing environmental conditions (temperature and humidity) and proximate compositions.
2. Investigate the toxigenicity of the isolated Aspergillus species in broiler feed under changing environmental conditions using different chromatographic techniques (TLC, HPLC, and LCMS)
3. Determined the riskiest point of broiler feeding to fungi and mycotoxins under changing environmental conditions.

The study was done at the North-West University (Mafikeng Campus), Department of Animal Health laboratory, and analysis of masked mycotoxin (LCMS/MS) was carried out at Ghent University (Belgium).
The study had two phases, the (Phase I) was to screen for Aspergillus species in poultry feed samples, and then (Phase II) involved the inoculation of the toxigenic strain of Aspergillus spp. (Aspergillus flavus) in broiler feeds (Starter, Grower, and finisher). The effect of environmental factors such as temperature (12°C, 20°C, 25°C, 34°C, 41°C) and humidity (10 %, 12%, 13%, 14%, 15%) was monitored and assessed, in order to understand the behavior and growth of Aspergillus flavus in feeds and its effect on nutritional quality and toxigenicity of the inoculated broiler, feeds.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c2c3f31c-1621-4cfc-bb68-ae2093341580","Title":"Ms.","FirstName":"Kgomotso Galian","LastName":"Setsetse","Position":"PhD candidate","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Setsetse K"},{"PresentationId":"c2c3f31c-1621-4cfc-bb68-ae2093341580","Title":"Dr","FirstName":"Lubanza","LastName":"Ngoma","Position":"Senior Lecturer","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Ngoma L"},{"PresentationId":"c2c3f31c-1621-4cfc-bb68-ae2093341580","Title":"Prof","FirstName":"Mulunda","LastName":"Mwanza","Position":"HOD","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Mwanza M"},{"PresentationId":"c2c3f31c-1621-4cfc-bb68-ae2093341580","Title":"Dr.","FirstName":"Stephen","LastName":"Akinola","Position":"Post Doctor","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Akinola S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c2c3f31c-1621-4cfc-bb68-ae2093341580","Number":1,"Affiliation":"North West University","City":"Mahikeng","State":"North West Province","Country":"South Africa","AffiliationDisplay":"North West University, Mahikeng North West Province, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c2c3f31c-1621-4cfc-bb68-ae2093341580","Number":2,"Affiliation":"Animal Health, North West University","City":"Mahikeng","State":"North West Province","Country":"South Africa","AffiliationDisplay":"Animal Health, North West University, Mahikeng North West Province, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c2c3f31c-1621-4cfc-bb68-ae2093341580","Number":3,"Affiliation":"Department of Crop Sciences, Tshwane University of Technology","City":"Pretoria","State":"Gauteng Province","Country":"South Africa","AffiliationDisplay":"Department of Crop Sciences, Tshwane University of Technology, Pretoria Gauteng Province, South Africa"}],"AuthorsHtml":"Setsetse K, Ngoma L, Mwanza M, Akinola S","AffiliationsHtml":"
1North West University, Mahikeng North West Province, South Africa
2Animal Health, North West University, Mahikeng North West Province, South Africa
3Department of Crop Sciences, Tshwane University of Technology, Pretoria Gauteng Province, South Africa
"}],"DisplayName":"Kgomotso Galian Setsetse","TimeDisplay":null},{"ContactId":"0777efe3-b4af-48cd-a2f1-ff3f7592c1d0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Keana","LastName":"Shahin","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Examining the differential use of a North American animal poison control call center by veterinarians and the public","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"690ce315-d3b7-4010-90cd-0688ab7000d8","Html":null,"PlainText":"Introduction\t
Telehealth services are becoming increasingly common, they offer users the ability to receive credible health advice from licensed professionals in the comfort of their own home. In the field of veterinary medicine, telehealth services have been employed since the early 2000s but there has been little examination of how these services are used by callers.
Objectives
The objectives of this study were to explore how the use of an animal poison control center (APCC) varied between veterinarians and the public in terms of toxicant type, animal demographics, availability of veterinary services, as well as seasonal and secular trends.
Methods
Data regarding dog poisoning events were obtained from the American Society for the Prevention of Cruelty to Animals’ (ASPCA) APCC. We fitted a mixed logistic regression model with random intercepts for county and state.
Results
We identified statistically significant associations between caller type and the following: animal characteristics (i.e., age, weight, breed-class), type of toxicant, season, year, and access to veterinary services (i.e., veterinarians per capita in the county of the caller). We also found statistically significant interaction effects between season and both plant and pesticide toxicants and between year and access to veterinary care.
Conclusion
Further investigations are needed to understand how the novelty of a toxicant and the severity of symptoms associated with a toxicant predict the type of caller, if pet demographics are associated with the caller based on medical issues or owner attitudes, and how access to veterinary care influences the use of this telehealth service.

Keywords: Telehealth, canine health, toxicology, multi-level models, disease surveillance
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"690ce315-d3b7-4010-90cd-0688ab7000d8","Title":"Miss","FirstName":"Keana","LastName":"Shahin","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Shahin K"},{"PresentationId":"690ce315-d3b7-4010-90cd-0688ab7000d8","Title":"Dr.","FirstName":"David","LastName":"Pearl","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Pearl D"},{"PresentationId":"690ce315-d3b7-4010-90cd-0688ab7000d8","Title":"Miss","FirstName":"Carolyn","LastName":"Martinko","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Martinko C"},{"PresentationId":"690ce315-d3b7-4010-90cd-0688ab7000d8","Title":"Mr.","FirstName":"Olaf","LastName":"Berke","Position":"Professor","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Berke O"},{"PresentationId":"690ce315-d3b7-4010-90cd-0688ab7000d8","Title":"Ms.","FirstName":"Terri","LastName":"O'Sullivan","Position":"Associate Professor","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"O'Sullivan T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"690ce315-d3b7-4010-90cd-0688ab7000d8","Number":1,"Affiliation":"University of Guelph- Ontario Veterinary College","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University of Guelph- Ontario Veterinary College, Guelph ON, Canada"}],"AuthorsHtml":"Shahin K1, Pearl D, Martinko C, Berke O, O'Sullivan T","AffiliationsHtml":"
1University of Guelph- Ontario Veterinary College, Guelph ON, Canada
"}],"DisplayName":"Keana Shahin","TimeDisplay":null},{"ContactId":"5a879969-c341-480c-bb97-96853e6ccc8e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Waseem","LastName":"Shaukat","Position":"PhD Scholar","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fcef0e14ef644634884999ff3da0ddaf","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"drwaseemshaukat","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/drwaseemshaukat/","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"drwaseemshaukat","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/drwaseemshaukat/","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=drwaseemshaukat","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/drwaseemshaukat/","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":5},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=drwaseemshaukat","Font":"fab fa-twitter-square","Color":"#0084b4"},{"Link":"http://www.linkedin.com/in/drwaseemshaukat/","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Herd-level prevalence of bovine leukosis, salmonellosis and neosporosis in Alberta dairy herds using bulk tank milk samples","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Html":null,"PlainText":"Endemic infectious diseases remain a major challenge for the dairy farms in Canada. The Cattle Health Surveillance System (CHeSS) project offers a more comprehensive approach for the surveillance and control of multiple endemic infectious diseases of importance in Western Canada. For effective disease control programs, up-to-date estimates of the disease occurrence are of utmost importance. The objective of this study was to estimate the herd-level prevalence of bovine leukosis, neosporosis and salmonellosis in Alberta, Canada, dairy farms.

Bulk tank milk samples from all 493 Alberta dairy farms were collected twice (December 2021 and April 2022) and tested for antibodies against bovine leukemia virus (BLV), Neospora caninum and Salmonella Dublin using indirect ELISAs with Bovicheck BLV, IDEXX Neospora X2, and PrioCheck™ S. Dublin Kit, respectively. ELISA results were dichotomized (positive and negative) based on the cut-off values as per manufacturers’ recommendation. Herd-level prevalence was calculated as proportion of positive samples of total tested samples.

Herd-level prevalence of BLV was estimated at 89.5% (95% CI = 86.4–91.9%) and 89.1% (95% CI = 85.9–91.6%) in December and April, respectively, while Neospora caninum prevalence was estimated at 18.1% (95% CI = 14.9–21.9%) and 6.6% (95% CI = 4.7–9.3%) in December and April, respectively. Similarly, prevalence of Salmonella Dublin was estimated at 11.3% (95% CI = 8.7–14.5%) and 6.6% (95% CI = 4.7–9.3%) in December and April, respectively. The spatial distribution of the positive and negative herds (including a 3rd sampling) across Alberta will also be presented during the ISVEE 2022. Additionally, similar data on contagious mastitis (Staphylococcus aureus, Streptococcus agalactiae, and Mycoplasma bovis) and Johne’s disease will be presented.

These results provide up to date information of the disease frequency that will set the basis for further investigation of within-herd prevalence of these diseases and help in devising appropriate disease control strategies in Alberta.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Title":"Mr.","FirstName":"Waseem","LastName":"Shaukat","Position":"PhD Scholar","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Shaukat W"},{"PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Title":"Ms.","FirstName":"Ellen","LastName":"De Jong","Position":"Phd Candidate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"De Jong E"},{"PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Title":"Ms.","FirstName":"Kayley","LastName":"McCubbin","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"McCubbin K"},{"PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Title":"Ms.","FirstName":"Marit","LastName":"Biesheuvel","Position":"Phd","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Biesheuvel M"},{"PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Title":"Mrs.","FirstName":"Karin","LastName":"Orsel","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Orsel K"},{"PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Title":"Ms.","FirstName":"Kristen","LastName":"Kalbfleisch","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Kalbfleisch K"},{"PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Title":"Dr.","FirstName":"John P.","LastName":"Kastelic","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Kastelic J"},{"PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Barkema H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f57dc15d-3a82-4da1-9f5b-63c708d2fe62","Number":1,"Affiliation":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada"}],"AuthorsHtml":"Shaukat W1, De Jong E1, McCubbin K1, Biesheuvel M1, Orsel K1, Kalbfleisch K1, Kastelic J1, Barkema H1","AffiliationsHtml":"
1Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada
"}],"DisplayName":"Waseem Shaukat","TimeDisplay":null},{"ContactId":"e0a10fc9-604b-443a-b1e3-36973fd251b3","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kshitiz","LastName":"Shrestha","Position":"Phd Candidate","Organization":"University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/69c6726969194b10b9bd33e61d291003","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Thoroughbred racehorses moving to and from racing events in the 2017-2018 Australian racing season: Implications for biosecurity and animal welfare","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"790592a2-ac36-49fd-8d47-789710a0793a","Html":null,"PlainText":"Objective(s):
The aim of this study was to describe the movement of Thoroughbred horses from their place of training to racing events during the 2017-2018 Australian racing season to understand: (1) the frequency and destination of off-stable movement events, which in turn would inform biosecurity risk mitigation measures; and (2) how the ‘demand’ for meeting event race positions (as specified by racing authorities) is met by the movement of horses.

Methods:
Individual horse details, trainer details and meeting event details for the 2017-2018 season were provided by Racing Australia.

Results:
Of the 28,184 Thoroughbreds that were active in 2017-2018 78% (n = 21,937) attended races in the state in which they were domiciled. Almost a quarter of active Thoroughbreds travelled interstate to race (22%, n = 6,247).
The frequency of Thoroughbred movements was relatively constant throughout the year with a small number of postcode areas (i.e., those in which there were race tracks) having very high in-degree scores. A higher proportion of race meeting events in rural areas with relatively low prize money offerings were not fully subscribed, compared with those in urban areas.

Conclusion:
This study provides useful information to inform backward and forward tracing in the event of an infectious disease outbreak such as equine influenza. Our supply and demand analyses identify an opportunity for Racing Australia to adjust racing programmes to make them more attractive for horses greater than 5 years of age. This should assist to increase retention of horses within the industry, in turn reducing the likelihood of welfare issues arising when horses retire.

Key words: equine racing, social network analysis, animal welfare, biosecurity, Australia","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"790592a2-ac36-49fd-8d47-789710a0793a","Title":"Mr.","FirstName":"Kshitiz","LastName":"Shrestha","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Shrestha K"},{"PresentationId":"790592a2-ac36-49fd-8d47-789710a0793a","Title":"Prof.","FirstName":"James R.","LastName":"Gilkerson","Position":"Director, Centre for Equine Infectious Disease","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gilkerson J"},{"PresentationId":"790592a2-ac36-49fd-8d47-789710a0793a","Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Stevenson M"},{"PresentationId":"790592a2-ac36-49fd-8d47-789710a0793a","Title":"Dr.","FirstName":"Meredith","LastName":"Flash","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Flash M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"790592a2-ac36-49fd-8d47-789710a0793a","Number":1,"Affiliation":"University Of Melbourne","City":"Melbourne","State":"VIC","Country":"Australia","AffiliationDisplay":"University Of Melbourne, Melbourne VIC, Australia"}],"AuthorsHtml":"Shrestha K1, Gilkerson J1, Stevenson M1, Flash M1","AffiliationsHtml":"
1University Of Melbourne, Melbourne VIC, Australia
"},{"Title":"Epidemiology of exit and outcomes for Thoroughbred racehorses participating in the 2017–2018 Australian racing season","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a1e1cd1d-6619-4ecf-9d28-05e2eb0547c3","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.E - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"48ebebef-9f21-4581-b4cd-cc7cef9bab25","Html":null,"PlainText":"Objective(s):
The destinations of Thoroughbred racehorses exiting the racing industry is a high-profile issue with ethical and welfare implications of interest to both animal welfare groups and racing regulators. This cross-sectional study investigated the reasons that Thoroughbreds temporarily or permanently exited racing and training in Australia in the 2017-2018 racing season and the outcomes for these horses post-racing.

Materials and methods:
An online questionnaire was sent to the last registered trainers of a representative sample of 2,509 ‘inactive’ Thoroughbreds. Inactive horses were defined as those horses that were recorded as ‘active’ but had not trialled or raced in the last 6 months of the racing season or had an inactive status recorded in the Racing Australia database. The Generalized Random Tessellation Stratified sampling method was used to obtain a sample of a true representative of the horse population over the region.

Results:
Of the 1,750 responses received, the largest group of inactive Thoroughbreds had permanently exited the racing industry (45% retired, 5.3% deceased). A relatively large group exited racing temporarily (43%) but participated in the racing industry in the following season.
The reasons for retirement were predominantly voluntary, such as poor performance or owner’s request. Almost one third of retirements were due to injuries with tendon or ligament problems the most frequently conditions listed. The median age at retirement was five (Q1 4; Q3 7) years.
Extrapolation of the survey results to the population of horses racing or training in Australia in 2017-2018 (n = 37,750) show that that 17% of the population retire each year and 2.1% die.

Conclusion:
These estimates provide benchmarks for industry and animal welfare organisations to resource and measure the effectiveness of interventions.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"48ebebef-9f21-4581-b4cd-cc7cef9bab25","Title":"Dr.","FirstName":"Kshitiz","LastName":"Shrestha","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Shrestha K"},{"PresentationId":"48ebebef-9f21-4581-b4cd-cc7cef9bab25","Title":"Prof.","FirstName":"James R.","LastName":"Gilkerson","Position":"Director, Centre for Equine Infectious Disease","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gilkerson J"},{"PresentationId":"48ebebef-9f21-4581-b4cd-cc7cef9bab25","Title":"Prof","FirstName":"Mark A.","LastName":"Stevenson","Position":"Professor, Veterinary Epidemiology (One Health)","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Stevenson M"},{"PresentationId":"48ebebef-9f21-4581-b4cd-cc7cef9bab25","Title":"Dr","FirstName":"Meredith L.","LastName":"Flash","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Flash M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"48ebebef-9f21-4581-b4cd-cc7cef9bab25","Number":1,"Affiliation":"University Of Melbourne","City":"Melbourne","State":"VIC","Country":"Australia","AffiliationDisplay":"University Of Melbourne, Melbourne VIC, Australia"}],"AuthorsHtml":"Shrestha K1, Gilkerson J1, Stevenson M1, Flash M1","AffiliationsHtml":"
1University Of Melbourne, Melbourne VIC, Australia
"}],"DisplayName":"Kshitiz Shrestha","TimeDisplay":null},{"ContactId":"f0e45ec3-a452-49f0-9f8b-6b711ad17c66","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Shailesh","LastName":"Shrestha","Position":"Agricultural Economist","Organization":"Scotland's Rural College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9effe914602e4bd6baf9742e61a25e59","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Economic impacts of alternative antimicrobial use management options on UK pig farms","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7346e8bb-cb44-4226-806d-b3ebd0891451","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"bb3e6226-a588-4e95-965f-111bc082bd69","Html":null,"PlainText":"1. Objectives: This research aimed to explore economic impacts of three alternative antimicrobial use (AMU) management options to reduce AMU on a highly profitable pig farm and a mid-range pig farm.
2. Materials and methods: A farm economic pig model (FEPM) that optimises farm profit was used on two representative farms; a top-third most profitable farm and a mid-range profitable farm. Three AMU alternative management options were selected for this study; a) reduction of AMU by 35% coupled with management changes, b) reduction of AMU by 95% coupled with management and biosecurity improvement, and c) implementing de-population of herd. A baseline scenario was used to compare and determine the impact of these alternative AMU options on profit of the two farm types. A sensitivity analysis was conducted to determine the effect of changes in pig revenue, variable costs and feed price on farm profits.
3. Results: The impact of the alternative AMU options are slightly higher ( -7%) on farm profit in the top-third group compared to the mid-range farm. The AMU35% option is estimated to have a small but positive impact (+3% profit) on both farm types. However, there is a substantial reduction (-50%) in farm profits under the other AMU options. Nevertheless, both farm types stay profitable under all AMU options. Farm profits are sensitive to changes on feed prices with a 10% or higher increase in feed price is estimated to move a profitable farm into a loss making farm.
4. Conclusion: The AMU35% option is estimated to be the best management option economically on a short term but has the lowest AMU reduction. The other AMU options have higher AMU reduction but also require larger variable cost and hence lower farm profitability. An increase in feed prices can lead farms to lose their profits substantially.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bb3e6226-a588-4e95-965f-111bc082bd69","Title":"Dr.","FirstName":"Shailesh","LastName":"Shrestha","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Shrestha S"},{"PresentationId":"bb3e6226-a588-4e95-965f-111bc082bd69","Title":"Mr","FirstName":"Andy","LastName":"McGowan","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"McGowan A"},{"PresentationId":"bb3e6226-a588-4e95-965f-111bc082bd69","Title":"Dr","FirstName":"Sue","LastName":"Tongue","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Tongue S"},{"PresentationId":"bb3e6226-a588-4e95-965f-111bc082bd69","Title":"Dr","FirstName":"Maria","LastName":"Rodrigues da Costa","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Rodrigues da Costa M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bb3e6226-a588-4e95-965f-111bc082bd69","Number":1,"Affiliation":"SRUC","City":"Edinburgh","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"SRUC, Edinburgh Scotland, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bb3e6226-a588-4e95-965f-111bc082bd69","Number":2,"Affiliation":"Wholesome Pigs (Scotland) Ltd","City":"Aberdeenshire","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"Wholesome Pigs (Scotland) Ltd, Aberdeenshire Scotland, United Kingdom"}],"AuthorsHtml":"Shrestha S1, McGowan A2, Tongue S1, Rodrigues da Costa M1","AffiliationsHtml":"
1SRUC, Edinburgh Scotland, United Kingdom
2Wholesome Pigs (Scotland) Ltd, Aberdeenshire Scotland, United Kingdom
"},{"Title":"Quantifying cost-effectiveness of sea lice management measures for farmed Atlantic salmon (Salmo salar) in Scotland in the context of limited data 1","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"cd7a0be9-fb49-4664-a982-ef96199a7d91","Html":null,"PlainText":"Keywords: sea louse, aquaculture, carbon costs

Salmon aquaculture is significantly affected by sea lice. To adhere to policies in place to keep sea lice at bay, producers deploy management measures throughout the production cycle. Decision making on which treatments to use is affected by cost and effectiveness. Objective was to quantify cost-effectiveness for (1) individual sea lice management measures, and (2) integrated management strategies that span an entire production cycle.

The cost-effectiveness ratio included costs for equipment, implementation, environment and side effects (mortality). Effectiveness was estimated based on interviews and expert opinions due to a lack of primary data.

Skirts and the in-feed measures had the best cost-effectiveness. Cleaner fish, fresh or brackish water bath, the physical removal measures thermolicer and hydrolicer and medicinal baths were among the next most cost-effective measures. Hydrogen peroxide bath was the least cost-effective, but these results were highly influenced by the efficacy estimates, which are not well quantified in literature. Lack of primary data sources made this research challenging.

This study demonstrated that the lack of data availability and the absence of standardization, constrains research in this area, especially on effectiveness of measures. The study provides a much-needed framework for discussion to better understand the gaps in knowledge, as well as a guide for developing further research.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cd7a0be9-fb49-4664-a982-ef96199a7d91","Title":"Dr.","FirstName":"Annette","LastName":"Boerlage","Position":"Aquatic Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Boerlage A"},{"PresentationId":"cd7a0be9-fb49-4664-a982-ef96199a7d91","Title":"Dr.","FirstName":"Shailesh","LastName":"Shrestha","Position":"Agricultural Economist","Affiliations":null,"IsPresenting":true,"SortOrder":2,"DisplayName":"Shrestha S"},{"PresentationId":"cd7a0be9-fb49-4664-a982-ef96199a7d91","Title":null,"FirstName":"Ilkka","LastName":"Leinonen","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Leinonen I"},{"PresentationId":"cd7a0be9-fb49-4664-a982-ef96199a7d91","Title":null,"FirstName":"Mona","LastName":"D. Jansen","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"D. Jansen M"},{"PresentationId":"cd7a0be9-fb49-4664-a982-ef96199a7d91","Title":"Mr.","FirstName":"Crawford","LastName":"Revie","Position":"Professor Of Epidemiology","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Revie C"},{"PresentationId":"cd7a0be9-fb49-4664-a982-ef96199a7d91","Title":"Dr.","FirstName":"Aaron","LastName":"Reeves","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Reeves A"},{"PresentationId":"cd7a0be9-fb49-4664-a982-ef96199a7d91","Title":null,"FirstName":"Luiza","LastName":"Toma","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Toma L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cd7a0be9-fb49-4664-a982-ef96199a7d91","Number":1,"Affiliation":"Scotland's Rural College","City":"Inverness","State":"Highlands","Country":"United Kingdom","AffiliationDisplay":"Scotland's Rural College, Inverness Highlands, United Kingdom"}],"AuthorsHtml":"Boerlage A1, Shrestha S, Leinonen I, D. Jansen M, Revie C, Reeves A, Toma L","AffiliationsHtml":"
1Scotland's Rural College, Inverness Highlands, United Kingdom
"}],"DisplayName":"Shailesh Shrestha","TimeDisplay":null},{"ContactId":"249dc833-adc5-4e8e-b584-b06ea2819d3f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sulav","LastName":"Shrestha","Position":"Phd Candidate","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Bovine leukemia virus proviral load as a measure for selective removal of cattle for bovine leukosis control","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"000e7006-a4de-44ac-9754-75b14228ffca","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.A - Production diseases","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9d6fee5d-4369-4d62-ae97-0a561197c107","Html":null,"PlainText":"Bovine leukosis, which is caused by bovine leukemia virus (BLV), is associated with low milk production, longevity and immunity. However, controlling this disease is a challenge because of the high within-herd prevalence and high turn over in Canada. The objective of this study was to use proviral load (the genomic copies of BLV per host cell) as a means to assess the impact of selectively removing the high proviral load (HPL) cows from the herd on the herd-level BLV prevalence. Also, leucocyte count is evaluated as a rapid and more cost effective alternative to identify HPL cows.
Eleven free-stall dairy herds across Alberta with an adult herd size ranging from 81 to 402 cows were enrolled in a three-year study. BLV status of each cow was annually assessed in milk or blood sample using an antibody detection ELISA and the proviral load with the BLV SS1 qPCR assay (CentralStar Cooperative Inc.). It was recommended to remove the HPL cows from the herd after each test.
In the first year (2020), 768 out of 2,301 milking cows were BLV-positive. The within-herd BLV prevalence ranged from 9 to 52% (median = 4%). The proportion of HPL cows of the total cows tested per herd ranged from 1 to 7% (median = 4%). In January 2022, the herds were sampled as part of the second year activities. Based on the year 2 results, we are assessing if producers were motivated to remove HPL cows and the number of new BLV infections. In preliminary analysis, leucocyte count was highly correlated with proviral load PCR results.
With high within-herd prevalences, HPL removal could be practical and economical strategy for BLV control.

Key words: BLV, proviral load, HPL, prevalence, control
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9d6fee5d-4369-4d62-ae97-0a561197c107","Title":"Mr.","FirstName":"Sulav","LastName":"Shrestha","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Shrestha S"},{"PresentationId":"9d6fee5d-4369-4d62-ae97-0a561197c107","Title":"Dr.","FirstName":"Karin","LastName":"Orsel","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Orsel K"},{"PresentationId":"9d6fee5d-4369-4d62-ae97-0a561197c107","Title":"Dr. ","FirstName":"Herman W.","LastName":"Barkema","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":3,"DisplayName":"Barkema H"},{"PresentationId":"9d6fee5d-4369-4d62-ae97-0a561197c107","Title":"Dr. ","FirstName":"Guido ","LastName":"van Marle","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"van Marle G"},{"PresentationId":"9d6fee5d-4369-4d62-ae97-0a561197c107","Title":"Dr.","FirstName":"Faizal","LastName":"Abdul-Careem","Position":"Department Head and Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Abdul-Careem F"},{"PresentationId":"9d6fee5d-4369-4d62-ae97-0a561197c107","Title":"Dr. ","FirstName":"Frank","LastName":"van der Meer","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"van der Meer F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d6fee5d-4369-4d62-ae97-0a561197c107","Number":1,"Affiliation":"Faculty of Veterinary Medicine, University Of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Faculty of Veterinary Medicine, University Of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d6fee5d-4369-4d62-ae97-0a561197c107","Number":2,"Affiliation":"Cumming School of Medicine, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Cumming School of Medicine, University of Calgary, Calgary AB, Canada"}],"AuthorsHtml":"Shrestha S1, Orsel K1, Barkema H1,2, van Marle G2, Abdul-Careem F1, van der Meer F1","AffiliationsHtml":"
1Faculty of Veterinary Medicine, University Of Calgary, Calgary AB, Canada
2Cumming School of Medicine, University of Calgary, Calgary AB, Canada
"}],"DisplayName":"Sulav Shrestha","TimeDisplay":null},{"ContactId":"756ddce6-2817-4154-a348-399e56070fc5","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gustavo","LastName":"Silva","Position":"Assistant Professor","Organization":"Iowa State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Validation of production thresholds for early detection of PRRSV outbreaks in sow farms","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"517aa74a-9a35-4504-8a70-e516fdde5892","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.C - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"424c8631-79a7-410e-b1bb-6146fda4be14","Html":null,"PlainText":"Objective. The objective of this study was to assess the performance of the number of aborts per 1,000 sows/week as an early indicator of PRRSV outbreaks in sow farms.
Materials Methods. Fifty-eight PRRSV outbreaks from 34 commercial breed-to-wean farms located in the MidWest region of the U.S were characterized. For each farm, the number of aborts per week (standardized to aborts per 1,000 sows/week) was compared to the weekly PRRSV status based on diagnostics. The performance was assessed using contingency tables to compare different thresholds for the number of abortions/week relative to the reported PRRSV outbreaks (gold standard). The baseline, average, and standard deviation (S.D.) were created using each farm's 12-week average of aborts per week. The thresholds were 0.5 SD, 1 SD, 1.5 SD, 2 SD, 2.5 SD, and 3 S.D. above the average. The sensitivity and specificity were calculated if there was any signal above average using 1-week and 2-week average with spikes in aborts/1,000 sows before or after the change PRRSV status, respectively, assessed for each threshold.
Results. The 34-farm average was 0.9 (±0.6 S.D.) aborts/1,000 sows (a sow farm with 5,000 sows had an average of 4.5 aborts/week). Using a threshold of 0.5 SD above the mean or 1.2 aborts/1,000 sows the sensitivity was 98.2% and 94.8% using the 1-week and the 2-week average in aborts/1,000 sows, respectively. Higher the threshold, lower the sensitivity. Moreover, specificity was 100% at 2.5 SD or 3 aborts/1,000 sows.
Conclusion. The results showed that the number of aborts has great sensitivity and specificity to early detect outbreaks. Early detection of signs associated with PRRSV outbreaks allows early investigation with diagnostic tests, which in turn allows rapid response to mitigate infection in the herd and to prevent virus spread among farms sharing resources.
Keywords: production data surveillance, early detection, PRRSV, aborts. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"424c8631-79a7-410e-b1bb-6146fda4be14","Title":"Dr.","FirstName":"Gustavo","LastName":"Silva","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Silva G"},{"PresentationId":"424c8631-79a7-410e-b1bb-6146fda4be14","Title":"Dr","FirstName":"Mafalda P.","LastName":"Mil-Homens","Position":"Graduate Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mil-Homens M"},{"PresentationId":"424c8631-79a7-410e-b1bb-6146fda4be14","Title":"Dr","FirstName":"Daniel C. L.","LastName":"Linhares","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Linhares D"},{"PresentationId":"424c8631-79a7-410e-b1bb-6146fda4be14","Title":"Dr","FirstName":"Derald J.","LastName":"Holtkamp","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Holtkamp D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"424c8631-79a7-410e-b1bb-6146fda4be14","Number":1,"Affiliation":"Veterinary Diagnostic and Production Animal Medicine, Iowa State University","City":"Ames","State":"IA","Country":"USA","AffiliationDisplay":"Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames IA, USA"}],"AuthorsHtml":"Silva G1, Mil-Homens M1, Linhares D1, Holtkamp D1","AffiliationsHtml":"
1Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames IA, USA
"},{"Title":"Early detection of trade-impacting swine pathogens: An epidemiological modeling study","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Html":null,"PlainText":"Objective: This study explored early FAD detection based on collecting/testing a few samples from each of many swine farms in a large geographic region.
Materials and methods: The USDA Animal Disease Spread Model5 (ADSM) was used to simulate the spread of a \"generic\" FAD in a population of 17,522 farms (51,515,699 pigs) in a geographic region (1,615,246 km2) composed of the states of CO, IA, KS, MN, MO, NE, OK, SD. Disease spread was modeled for various scenarios (100 iterations each) by systematically changing ADSM transmission parameters, including the location of the index case. Thereafter, the number and location of infected farms was used to model the probability of detection over time post introduction for specific sampling schemes, e.g., percent farms sampled, location of farms, and timing of sampling.
Results: As an example, the scenario with restrained transmission parameters and in which the index case was initiated in a swine-dense region resulted in 0.04% (n=7), 0.18% (n=32), and 0.74% (n=130) of farms becoming infected by 21, 42, and 63 days post pathogen introduction. Results from the active collection/testing model predicted the probability of disease detection in the region with estimates of 32%, 70%, and 97% at the same time points.
Conclusion: Initial results suggest that an approach based on systematically collecting/testing a few samples from many herds in a region could achieve early detection of a FAD, provide ongoing evidence of freedom from disease outside of Control Areas, and facilitate interstate/international commerce throughout the response and recovery period.
The novelty was to determine the region's status without proving that each farm was negative. Thus, negative testing supports business continuity in the region, and a positive result triggers a USDA FAD response.
Keywords: participatory surveillance, early detection, probability of detection, systematically sampling, freedom from disease.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Title":"Dr","FirstName":"Giovani","LastName":"Trevisan","Position":"Research Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Trevisan G"},{"PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Title":null,"FirstName":"Paul","LastName":"Morris","Position":"Research Graduate Student","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Morris P"},{"PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Title":"Dr.","FirstName":"Marie","LastName":"Culhane","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Culhane M"},{"PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Title":"Mr.","FirstName":"Sasidhar","LastName":"Malladi","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Malladi S"},{"PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Title":"Dr.","FirstName":"Chong","LastName":"Wang","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":5,"DisplayName":"Wang C"},{"PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Title":"Dr","FirstName":"Rodger","LastName":"Main","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Main R"},{"PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Title":"Mr.","FirstName":"Gustavo","LastName":"Silva","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":7,"DisplayName":"Silva G"},{"PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Title":"Dr.","FirstName":"Jeffrey","LastName":"Zimmerman","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Zimmerman J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Number":1,"Affiliation":"Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University","City":"Ames","State":"IA","Country":"USA","AffiliationDisplay":"Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames IA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Number":2,"Affiliation":"Department of Statistics, College of Liberal Arts and Sciences, Iowa State University","City":"Ames","State":"IA","Country":"USA","AffiliationDisplay":"Department of Statistics, College of Liberal Arts and Sciences, Iowa State University, Ames IA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4ed35720-8e08-43cb-ad8c-543aedfabbd5","Number":3,"Affiliation":"College of Veterinary Medicine, University of Minnesota","City":"Minneapolis","State":"MN","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine, University of Minnesota, Minneapolis MN, USA"}],"AuthorsHtml":"Trevisan G1, Morris P2, Culhane M3, Malladi S3, Wang C1,2, Main R1, Silva G1, Zimmerman J1","AffiliationsHtml":"
1Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames IA, USA
2Department of Statistics, College of Liberal Arts and Sciences, Iowa State University, Ames IA, USA
3College of Veterinary Medicine, University of Minnesota, Minneapolis MN, USA
"},{"Title":"Use of unsupervised method to assess compliance of biosecurity practices to compartmentalization requirements for FMD and CSF in swine farms in Brazil.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"728c1bbd-6dad-4952-acdc-03106f581460","Html":null,"PlainText":"Objective. The study's objective was to assess compliance of biosecurity practices to compartmentalization requirements for FMD and CSF in swine farms in Brazil.
Materials and methods. The IN #44 of 2017 establishes the standards for certification of compartmentalization of the swine production chain regarding exposure to FMD and CSF viruses. Data came from a cross-sectional study conducted in Rio Grande do Sul (RS), Brazil. RS State is located in the south of Brazil and is the second-largest pork exporter in the country. The source population was the farms within the main swine companies of the state representing 75% of the state's commercial farms. The farm types were classified as multiplication sow farms (replacement animals), breed-to-wean farms, nursery sites, finishing sites, and finally, the farrow-to-finish farms. A random sampling procedure with probabilities proportional to the frequency distribution was used to select the farms, and 604 farms were visited. The K-means clustering analysis was performed using the Binary matrix distance and the Ward-D2 method taking into 20 biosecurity practices described in IN #44. The analyses were performed using the R program.
Results. Farms were classified as low, moderate, and high compliant. Farms with high compliance (n=303) performed 71% of the practices, moderate (n=219) 47%, and the low (n=82) 33%. Type of the farm, social factor, and company differed significantly between clustering groups.
Conclusion. It was possible to assess biosecurity compliance between farms and associated factors. Also, understand necessary investments to be compliant with IN#44.
Keywords: biosecurity compliance, compartmentalization, cluster analysis, swine.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"728c1bbd-6dad-4952-acdc-03106f581460","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c3788491af1a4692ab837624efba5c3b","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"728c1bbd-6dad-4952-acdc-03106f581460","Title":"Mr.","FirstName":"Gustavo","LastName":"Silva","Position":"Assistant Professor","Affiliations":"1,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Silva G"},{"PresentationId":"728c1bbd-6dad-4952-acdc-03106f581460","Title":"Dr.","FirstName":"Antonio Augusto","LastName":"Medeiros","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Medeiros A"},{"PresentationId":"728c1bbd-6dad-4952-acdc-03106f581460","Title":"Dr.","FirstName":"Ana Paula","LastName":"Silva","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":3,"DisplayName":"Silva A"},{"PresentationId":"728c1bbd-6dad-4952-acdc-03106f581460","Title":"Dr.","FirstName":"Luis Gustavo","LastName":"Corbellini","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Corbellini L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"728c1bbd-6dad-4952-acdc-03106f581460","Number":1,"Affiliation":"Veterinary Diagnostic and Production Animal Medicine Department, Iowa State University","City":"Ames","State":"IA","Country":"USA","AffiliationDisplay":"Veterinary Diagnostic and Production Animal Medicine Department, Iowa State University, Ames IA, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"728c1bbd-6dad-4952-acdc-03106f581460","Number":2,"Affiliation":"Department of Agriculture and Livestock of Rio Grande do Sul","City":"Porto Alegre","State":"RS","Country":"Brazil","AffiliationDisplay":"Department of Agriculture and Livestock of Rio Grande do Sul, Porto Alegre RS, Brazil"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"728c1bbd-6dad-4952-acdc-03106f581460","Number":3,"Affiliation":"Laboratory of Veterinary Epidemiology, Universidade Federal do Rio Grande do Sul","City":"Porto Alegre","State":"RS","Country":"Brazil","AffiliationDisplay":"Laboratory of Veterinary Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre RS, Brazil"}],"AuthorsHtml":"Silva G1,3, Medeiros A2, Silva A1,3, Corbellini L3","AffiliationsHtml":"
1Veterinary Diagnostic and Production Animal Medicine Department, Iowa State University, Ames IA, USA
2Department of Agriculture and Livestock of Rio Grande do Sul, Porto Alegre RS, Brazil
3Laboratory of Veterinary Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre RS, Brazil
"}],"DisplayName":"Gustavo Silva","TimeDisplay":null},{"ContactId":"4b7d6dc6-949c-4c6a-b655-0c4ae60566d2","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Vincent","LastName":"Simbizi","Position":"State Veterinarian","Organization":"University of Pretoria and James Cook University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d6828fee2a9d4b67a7db400e64e577cf","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Ensembling value chain and trade networks as a basis for cost effective surveillance in rural chickens in the Eastern Cape Province of South Africa","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"59a6345c-0a5e-4145-929d-90dd09b5ca21","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Html":null,"PlainText":"Despite the benefits of rural chickens in the Eastern Cape Province (ECP) of South Africa, this sector is still underdeveloped and poorly surveyed for poultry diseases. The lack of a sustainable disease surveillance system coupled with communities and practices where the interactions between birds are high, emphasize the need for targeted surveillance.
1. Objectives
To evaluate the possibility of combining rural chicken value chain and social network analysis (SNA) for informing targeted surveillance within rural ECP where scarce resources constitute a big challenge.
To use the value chain analysis (VCA) to understand the barriers to market entry for rural chicken farmers.
2. Materials and methods
A survey which involved a rural chicken VCA that also included an assessment of trading practices to identify biosecurity hot spots and an identification of barriers to market entry for rural farmers was conducted. Secondly, a SNA of chicken movements in the province was carried out to identify trade hubs that could be targeted for disease surveillance based on their centrality within the network and their size and influence within their ego networks.
3. Results
Traders and their transport vehicles were identified as biosecurity risk hotspots that could be targeted for disease surveillance within the chain. SNA identified three municipalities as trade hubs where interaction between rural chickens occurs and resources can be focused. The main barriers to market entry included production constraints and current policy.
4. Conclusion
This is the first study to formally describe chicken trade networks within the ECP and the surrounding region. It provides a model for cost effective targeted surveillance in the ECP and similar resource poor regions. It also describes the barriers to market entry for farmers and factors hampering the profitability and expansion of this sector.
Keywords: targeted surveillance, hot spots, value chain analysis, rural chicken, trade networks
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Title":"Dr.","FirstName":"Vincent","LastName":"Simbizi","Position":null,"Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Simbizi V"},{"PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Title":"Dr.","FirstName":"R.","LastName":"Moerane","Position":"Head of Department","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Moerane R"},{"PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Title":"Professor","FirstName":"G.","LastName":"Ramsay","Position":"Lecturer","Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Ramsay G"},{"PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Title":"Dr.","FirstName":"C.","LastName":"Mubamba","Position":"Senior veterinary officer","Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Mubamba C"},{"PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Title":"Professor","FirstName":"C.","LastName":"Abolnik","Position":"Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Abolnik C"},{"PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Title":"Professor","FirstName":"B.","LastName":"Gummow","Position":"Lecturer","Affiliations":"2,3","IsPresenting":false,"SortOrder":6,"DisplayName":"Gummow B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Number":1,"Affiliation":"State Veterinary Services ","City":"","State":"Eastern Cape Province","Country":"South Africa","AffiliationDisplay":"State Veterinary Services , Eastern Cape Province, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Number":2,"Affiliation":"University of Pretoria","City":"","State":"","Country":"South Africa","AffiliationDisplay":"University of Pretoria, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Number":3,"Affiliation":"James Cook University","City":null,"State":null,"Country":"Australia","AffiliationDisplay":"James Cook University, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Number":4,"Affiliation":"Charles Sturt University","City":null,"State":null,"Country":"Australia","AffiliationDisplay":"Charles Sturt University, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8fa70792-0ae6-4bc8-958b-8434151a81b0","Number":5,"Affiliation":"Ministry of Livestock and Fisheries","City":null,"State":null,"Country":"Zambia","AffiliationDisplay":"Ministry of Livestock and Fisheries, Zambia"}],"AuthorsHtml":"Simbizi V1,2,3, Moerane R2, Ramsay G4, Mubamba C5, Abolnik C2, Gummow B2,3","AffiliationsHtml":"
1State Veterinary Services , Eastern Cape Province, South Africa
2University of Pretoria, South Africa
3James Cook University, Australia
4Charles Sturt University, Australia
5Ministry of Livestock and Fisheries, Zambia
"}],"DisplayName":"Vincent Simbizi","TimeDisplay":null},{"ContactId":"d8498396-7978-48f5-8f1b-c9ea1971fb02","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Heather","LastName":"Simmons","Position":"Director","Organization":"Texas A&M University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Heather Simmons is the Director for the Institute for Infectious Animal Diseases. Dr. Simmons has a Doctor of Veterinary Medicine (DVM) degree and a Masters in Veterinary Public Health in infectious disease epidemiology, both from Texas A&M University (TAMU). She has over 16 years of experience working on infectious diseases for emerging and transboundary animal diseases for capacity development and educational activities targeting youth and professional Veterinary Services. She has developed several certification programs and has helped to deliver IIADs digital education programs in surveillance, epidemiology, risk analysis and executive laboratory management.

","Presentations":[{"Title":"Competency Prioritization for the Tripartite (FAO/WHO/WOAH) Field Epidemiology One Health Competency Framework ","Bio":"Dr. Heather Simmons is the Director for the Institute for Infectious Animal Diseases. Dr. Simmons has a Doctor of Veterinary Medicine (DVM) degree and a Masters in Veterinary Public Health in infectious disease epidemiology, both from Texas A&M University (TAMU). She has over 16 years of experience working on infectious diseases for emerging and transboundary animal diseases for capacity development and educational activities targeting youth and professional Veterinary Services. She has developed several certification programs and has helped to deliver IIADs digital education programs in surveillance, epidemiology, risk analysis and executive laboratory management.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"3cf91aab-335f-4e90-aa43-863c1cf33ce0","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"6_Special Session Part 2: Strengthening Veterinary Epidemiology and One Health Capacity","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"5a6c14f1-2829-420a-8cd4-91484234ce91","Html":null,"PlainText":"Simmons H, Alessandrini B, Cargill, J., Castellan D, Budke C, D'albenzio S, Dunkle S, Dissanayake R, Muehlen M, Pinto J, Schenkel K, Zaghloul A

Objective: The Tripartite (FAO/WHO/WOAH) Field Epidemiology One Health Competency Framework is the first global initiative to develop One Health competency guidelines for field epidemiology training programs (FETPs) and FETPs for veterinarians (FETPVs). The objective of one step in the guideline development process was to prioritize competencies (knowledge, skill, and/or ability) identified by tripartite subject matter experts (SMEs) and a global Technical Advisory Group (TAG) for frontline, intermediate, and advanced training levels.

Materials and methods: TAG members prioritized competencies within fourteen identified domains as core or optional for each training level (frontline, intermediate, advanced). Core competencies were considered required. In contrast, a country FETP or FETPV can choose to include an optional competency based on a developed ranking tool utilizing pairwise comparisons.

Results: Core frontline competencies were defined as those that 90% of SMEs considered essential, resulting in 99 core competencies. Intermediate core competencies included all those identified at the frontline level in addition to any additional competencies at the 90% cutoff, resulting in 110 core competencies. The same process was conducted for the advanced training level, resulting in 144 core competencies.

Conclusions: One Health competency prioritization will allow for better comparability between training programs, which may lead to internally recognized certification of these programs. Similar methods can also be used to evaluate and certify continuing education programs.

Keywords: One Health, Field epidemiology, Guidelines, Competency Prioritization
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"5a6c14f1-2829-420a-8cd4-91484234ce91","Title":"Dr.","FirstName":"Heather","LastName":"Simmons","Position":"Director","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Simmons H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"5a6c14f1-2829-420a-8cd4-91484234ce91","Number":1,"Affiliation":"Texas A&M University","City":"College Station","State":"TX","Country":"United States","AffiliationDisplay":"Texas A&M University, College Station TX, United States"}],"AuthorsHtml":"Simmons H1","AffiliationsHtml":"
1Texas A&M University, College Station TX, United States
"}],"DisplayName":"Heather Simmons","TimeDisplay":null},{"ContactId":"19ec1578-f3c5-4061-ab08-1bc111774c5e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mohamed Mahmoud","LastName":"Sirdar Issa Adam","Position":"Sub-regional Programme Officer","Organization":"World Organisation for Animal Health","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3edb301c9dc0493d807cfdf1a2e4db12","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Investigating and modelling foot-and-mouth disease occurrence and spread in South Africa (2007-2016) ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Html":null,"PlainText":"Introduction
Foot-and-mouth Disease control in South Africa includes animal movement restrictions, prophylactic vaccination of cattle, clinical surveillance, and disease control fencing separating livestock from wildlife reservoirs. Since 2019, South Africa’s FMD free zone without vaccination status was suspended due to a FMD outbreak outside the controlled zones.
Objectives
To estimate and predict the risk of FMD introduction and spread within the FMD protection zone of South Africa (2007-2016).
Material and Methods
Eleven risk factors for FMD occurrence and spread were used to build a weighted linear combination (WLC) scores spatial risk assessment model based on FMD expert opinions. A multivariable conditional logistic regression model was also used to calculate predicted probabilities of a FMD outbreak for all dip-tanks (animal assembly and inspection points) within the study area. Smoothed Bayesian kriged maps were generated for all risk factors, overall WLC scores for FMD occurrence, spread and predicted probabilities of a FMD outbreak based on the conditional logistic regression model.
Results
Expert opinion believed that vaccine matching had a great influence on both FMD occurrence and spread. Though, FMD occurrence was influenced predominantly by proximity to game reserves and cattle density, while cattle populations, cattle inspection (surveillance) and vaccination practices were important determinants of FMD spread. Highly effective cattle inspections were observed within areas that previously reported FMD outbreaks; indicating the importance of cattle inspection as a necessary element associated with FMD outbreak detection. The multivariable conditional logistic regression analysis identified cattle population density and proximities to game reserve fences and rivers as significant factors for the reporting and increasing risk of FMD outbreaks.
Conclusion
Identification of high-risk locations for FMD occurrence and spread can be used to implement risk-based surveillance and control for regaining and maintaining an FMD-free status without vaccination.
Keywords: FMD, Bayesian kriging, risk, Dip-tank; Kruger National Park ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Title":"Dr.","FirstName":"Mohamed Mahmoud","LastName":"Sirdar Issa Adam","Position":"Sub-regional Programme Officer","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sirdar Issa Adam M"},{"PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Title":"Mr.","FirstName":"Geoff","LastName":"Fosgate","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Fosgate G"},{"PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Title":"Dr","FirstName":"B.","LastName":"Blignaut","Position":"Extra Ordinary Lecturer","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Blignaut B"},{"PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Title":"Dr.","FirstName":"Livio","LastName":"Heath","Position":"Research Team Manager: Vaccine Production","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Heath L"},{"PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Title":"Dr.","FirstName":"David","LastName":"Lazarus","Position":"Senior Veterinary Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Lazarus D"},{"PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Title":"Professor","FirstName":"Bruce","LastName":"Gummow","Position":"Professor of Epidemiology and Head of Veterinary Preventative Medicine","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Gummow B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Number":1,"Affiliation":"World Organisation for Animal Health (OIE)","City":"Gaborone","State":null,"Country":"Botswana","AffiliationDisplay":"World Organisation for Animal Health (OIE), Gaborone, Botswana"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Number":2,"Affiliation":"Epidemiology Section, Department of Production Animal Studies, Faculty of Veterinary Sciences, University of Pretoria","City":null,"State":null,"Country":"South Africa","AffiliationDisplay":"Epidemiology Section, Department of Production Animal Studies, Faculty of Veterinary Sciences, University of Pretoria, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Number":3,"Affiliation":"Onderstepoort Veterinary Research, Agricultural Research Council,","City":null,"State":null,"Country":"South Africa","AffiliationDisplay":"Onderstepoort Veterinary Research, Agricultural Research Council,, South Africa"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9908699f-d0e8-4031-893c-e91fc6364c25","Number":4,"Affiliation":"College of Public Health, Medical and Veterinary Sciences, James Cook University","City":"Townsville","State":"Queensland","Country":"Australia","AffiliationDisplay":"College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville Queensland, Australia"}],"AuthorsHtml":"Sirdar Issa Adam M1, Fosgate G2, Blignaut B2, Heath L3, Lazarus D3, Gummow B4","AffiliationsHtml":"
1World Organisation for Animal Health (OIE), Gaborone, Botswana
2Epidemiology Section, Department of Production Animal Studies, Faculty of Veterinary Sciences, University of Pretoria, South Africa
3Onderstepoort Veterinary Research, Agricultural Research Council,, South Africa
4College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville Queensland, Australia
"}],"DisplayName":"Mohamed Mahmoud Sirdar Issa Adam","TimeDisplay":null},{"ContactId":"efeca1b1-a9d3-49cf-ab45-490088063cef","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Margaret","LastName":"Slater","Position":"Vice President","Organization":"ASPCA","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8569cdbb88b24fd581c096aa0a4f507c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evidence to Improve Veterinary Care and Reduce Cost as a Barrier: Canine Pyometra as an Example","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4323c9cd-3c50-4579-9d59-5610a201c200","Html":null,"PlainText":"Survival of bitches after pyometra surgery was examined in three settings: outpatient, non-specialized and specialty veterinary practices. Demonstrating similar effectiveness and safety of pyometra surgery in these settings provides valuable evidence to support lower cost, high quality veterinary care for pet owners and animal shelters.
The ASPCA and the Cummings School of Veterinary Medicine at Tufts University conducted retrospective medical record reviews on surgically treated canine pyometra patients to identify potential risk factors for survival to discharge. Follow-up with clients was performed at the non-specialty clinic.
Survival of bitches with pyometra in the outpatient setting was 96% (86-100%), at the non-specialty 97% (95-99%), and at the specialty setting 93% (85%-97%). Most of the commonly reported risk factors for mortality were not statistically associated with survival. Elevated BUN and presence of heart murmurs were statistically associated but were poor predictors. Life expectancy of bitches after discharge at the non-specialty clinic was substantial and no bitches died after discharge from pyometra-related issues.
These results provide verification to support outpatient and non-specialized veterinary care for canine pyometras. Results provide real evidence about the costs and efficacy of treating common, life-threatening veterinary conditions, and improve veterinarians’ ability to confidently offer a spectrum of treatment options - from less costly and technologically advanced to more costly and advanced. Studies like this provide veterinarians with information that can be shared with clients to help make decisions while considering the risks and benefits of referral to specialty practices vs general practice or outpatient settings. Veterinary schools can reference this study to demonstrate to students the evidence base for a spectrum of care approach to conditions such as canine pyometra. Offering a spectrum of care options and excellent client communication are essential skills for future veterinarians to learn in order to increase clients’ access to veterinary care.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4323c9cd-3c50-4579-9d59-5610a201c200","Title":"Ms.","FirstName":"Margaret","LastName":"Slater","Position":"Vice President","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Slater M"},{"PresentationId":"4323c9cd-3c50-4579-9d59-5610a201c200","Title":"Dr.","FirstName":"Sharon","LastName":"Pailler","Position":"Director, Research","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Pailler S"},{"PresentationId":"4323c9cd-3c50-4579-9d59-5610a201c200","Title":"Dr.","FirstName":"Emily","LastName":"McCobb","Position":"Clinical Associate Professor","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"McCobb E"},{"PresentationId":"4323c9cd-3c50-4579-9d59-5610a201c200","Title":"Dr.","FirstName":"J'mai","LastName":"Gayle","Position":"Director, Surgery","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Gayle J"},{"PresentationId":"4323c9cd-3c50-4579-9d59-5610a201c200","Title":"Dr.","FirstName":"Carolyn","LastName":"Brown","Position":"Vice President, Medicine","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Brown C"},{"PresentationId":"4323c9cd-3c50-4579-9d59-5610a201c200","Title":"Dr.","FirstName":"Camille","LastName":"DeClementi","Position":"Vice President, ASPCA Animal Hospital","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"DeClementi C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4323c9cd-3c50-4579-9d59-5610a201c200","Number":1,"Affiliation":"ASPCA","City":"Northampton","State":"MA","Country":"USA","AffiliationDisplay":"ASPCA, Northampton MA, USA"}],"AuthorsHtml":"Slater M1, Pailler S, McCobb E, Gayle J, Brown C, DeClementi C","AffiliationsHtml":"
1ASPCA, Northampton MA, USA
"}],"DisplayName":"Margaret Slater","TimeDisplay":null},{"ContactId":"6b51739f-907a-42f1-aa27-7231f66687e1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Anne-Marieke","LastName":"Smid","Position":"Postdoctoral Scholar","Organization":"University of Calgary","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Housing and outdoor access practices in the Canadian dairy industry ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"28f10da6-8149-4cec-bde8-14bc2d25aeb6","Html":null,"PlainText":"Dairy cows are highly motivated to access pasture and show a partial preference for alternative forms of outdoor access such deep-bedded packs. The public in many parts of the world favours outdoor access for dairy cattle as they perceive outdoor access as important for good cow welfare. In contrast to Europe, Oceania, and the USA, little data exist on the use of outdoor access on Canadian dairy farms. Therefore, the aim of this study was to assess current outdoor access practices for dairy cows in Canada.

An online questionnaire was used to conduct a cross-sectional study of housing and outdoor access practices on Canadian dairy farms. The questionnaire was distributed by the 10 provincial milk boards between November 2020 and August 2021, resulting in an 8.9% response rate (n=903 completed questionnaires). The questionnaire contained 10 demographic questions and 4 multiple-choice questions. Participating farmers providing outdoor access were asked an additional 6 multiple choice questions per cow class that they provided outdoor access to.

With regard to lactating cows, a total 33.2% (n=300) of respondents provided pasture access to this cow class on their farms. Farms with larger herd sizes were less likely to provide lactating cows access to pasture (P<0.001); farms in the West and East coasts areas of Canada were more likely to provide lactating cows pasture compared to farms in other regions (P<0.001). Farms with free stall housing for their lactating cows were less likely to provide pasture to their lactating cows than farms with tie stall or pack housing (P=0.003).

Lactating herd size, region, and housing system were associated with the provision of pasture to lactating cows. Our results are important in informing future decisions regarding outdoor access for dairy cows in the Canadian dairy industry.

Key Words: Dairy cattle, outdoor access, survey, housing, outdoor areas","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"28f10da6-8149-4cec-bde8-14bc2d25aeb6","Title":"Ms.","FirstName":"Anne-Marieke","LastName":"Smid","Position":"Postdoctoral Scholar","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Smid A"},{"PresentationId":"28f10da6-8149-4cec-bde8-14bc2d25aeb6","Title":"(she/her)","FirstName":"Vanessa","LastName":"Boone","Position":"Undergraduate student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Boone V"},{"PresentationId":"28f10da6-8149-4cec-bde8-14bc2d25aeb6","Title":"(she/her)","FirstName":"Melanie","LastName":"Jarbeau","Position":"Undergraduate student","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Jarbeau M"},{"PresentationId":"28f10da6-8149-4cec-bde8-14bc2d25aeb6","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Barkema H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"28f10da6-8149-4cec-bde8-14bc2d25aeb6","Number":1,"Affiliation":"University Of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"University Of Calgary, Calgary AB, Canada"}],"AuthorsHtml":"Smid A1, Boone V1, Jarbeau M1, Barkema H1","AffiliationsHtml":"
1University Of Calgary, Calgary AB, Canada
"}],"DisplayName":"Anne-Marieke Smid","TimeDisplay":null},{"ContactId":"eed44f66-3e4e-414d-b77b-c83c6aa2869d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alice","LastName":"Smith","Position":"Phd Student","Organization":"School of Veterinary Medicine and Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"AliceSmith21_","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"AliceSmith21_","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=AliceSmith21_","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=AliceSmith21_","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"A study to identify and evaluate factors associated with sheep scab control by sheep farmers in Great Britain ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a16a66a7-b71c-46e1-924e-61f777a167f6","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.C - Epidemiologic studies in specific species (Goats and sheep)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"80c8bbf2-5aad-4b45-acc9-ef023856d3a0","Html":null,"PlainText":"Sheep scab is one of the most important ectoparasitic diseases of sheep in Great Britain. The effective management of sheep scab has proved to be a challenge despite several industry-led initiatives to manage the disease. Little is known about sheep farmers’ practices and opinions on sheep scab control.

Objective
This study aims to gain an understanding on beliefs and decisions made by farmers when managing sheep scab in their flocks.

Materials and Methods
An online survey on management practices and farmers beliefs associated with sheep scab control was developed. The survey was publicly available on social media and was also sent to sheep farmers by various sheep farming groups. Exploratory factor analysis (EFA) was used on the farmers’ belief statements to identify latent constructs within the data. Item response theory (IRT) models were then applied to evaluate how well the items contributed to the scales. Associations between farmer practices and their beliefs were explored using multivariable logistic regression.

Results and conclusions
A total of 725 sheep farmers completed the survey. Nearly 53% (314/725) of respondents had experienced sheep scab in their flocks before and nearly 22% (157/725) of respondents had experienced their last outbreak of sheep scab in 2020 or 2021. One fifth (151/725) of respondents agreed or strongly agreed that getting sheep scab in their flock sooner or later was unavoidable.

The EFA identified five factors expressing farmers beliefs: luck, control, responsibility, governance, and trust. The analysis identified novel factors that might influence farmer decision making when controlling scab. IRT analysis indicated that the scales were good at discriminating those respondents with high perceptions of luck and low perceptions of control and responsibility, which may be beneficial to target those respondents to have the most impactful progress to reducing sheep scab prevalence.

Key words: sheep scab survey beliefs decisions
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"80c8bbf2-5aad-4b45-acc9-ef023856d3a0","Title":"Miss","FirstName":"Alice","LastName":"Smith","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Smith A"},{"PresentationId":"80c8bbf2-5aad-4b45-acc9-ef023856d3a0","Title":"Prof.","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology & Precision Livestock Informatics","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Kaler J"},{"PresentationId":"80c8bbf2-5aad-4b45-acc9-ef023856d3a0","Title":"Mrs.","FirstName":"Charlotte","LastName":"Doidge","Position":"Research Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Doidge C"},{"PresentationId":"80c8bbf2-5aad-4b45-acc9-ef023856d3a0","Title":"Dr","FirstName":"Fiona","LastName":"Lovatt","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Lovatt F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"80c8bbf2-5aad-4b45-acc9-ef023856d3a0","Number":1,"Affiliation":"Ruminant Population Health, School of Veterinary Medicine and Science, University Of Nottingham","City":"Leicestershire","State":"England","Country":"United Kingdom","AffiliationDisplay":"Ruminant Population Health, School of Veterinary Medicine and Science, University Of Nottingham, Leicestershire England, United Kingdom"}],"AuthorsHtml":"Smith A1, Kaler J1, Doidge C1, Lovatt F1","AffiliationsHtml":"
1Ruminant Population Health, School of Veterinary Medicine and Science, University Of Nottingham, Leicestershire England, United Kingdom
"}],"DisplayName":"Alice Smith","TimeDisplay":null},{"ContactId":"fbf42841-af6e-43e1-951e-1f9834dbf09f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"David","LastName":"Smith","Position":"","Organization":"Mississippi State University College of Veterinary Medicine","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The effect of removing arrival metaphylaxis on the pre-harvest beef value chain","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"749cc75b-1f9f-46d1-90a2-a0c37a7fa362","Html":null,"PlainText":"Introduction:
In the US and Canada, it is common to mass-treat cattle considered to be high-risk for developing bovine respiratory disease (BRD) with antimicrobials as they arrive at growing (stocker/backgrounder) or finishing (feedlot) systems. This approach to controlling BRD might lead to selection of antimicrobial resistant strains of BRD pathogens which may present a hazard to cattle or human health.

Objective:
The objective of this study was to use stock and flow value-chain models to understand how cattle markets might respond to various antimicrobial-use policies based on profitability.

Materials and Methods:
Vensim Personal Learning Edition, by Ventana Systems Inc., was used to develop causal loop diagrams and stock and flow value-chain models. Metaphylaxis and incentives for not using antimicrobials were tested within each sector of the beef chain to compare how the market might respond if metaphylaxis was used or not used in certain sectors or across the cattle feeding industry.

Results:
If metaphylaxis was used, there was a higher count of high-risk calves in the system which were more likely to move directly to the finishing feedlot. Removing arrival metaphylaxis and adding a 5% incentive for calves not treated with antimicrobial increased the number of low-risk calves relative to high risk. Feedlots then preferred low-risk calves. If metaphylaxis was only permitted at the backgrounder stage, more high-risk calves moved towards backgrounding operations.

Conclusions:
Policies restricting metaphylactic use of antimicrobials might lead to important shifts in beef production sectors. Smaller cow-calf herds, which produce the most high-risk cattle, might be most affected.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"749cc75b-1f9f-46d1-90a2-a0c37a7fa362","Title":"Dr.","FirstName":"David","LastName":"Smith","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Smith D"},{"PresentationId":"749cc75b-1f9f-46d1-90a2-a0c37a7fa362","Title":null,"FirstName":"Alec","LastName":"Lucas","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Lucas A"},{"PresentationId":"749cc75b-1f9f-46d1-90a2-a0c37a7fa362","Title":"Mr.","FirstName":"Robert","LastName":"Wills","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Wills R"},{"PresentationId":"749cc75b-1f9f-46d1-90a2-a0c37a7fa362","Title":null,"FirstName":"Tyler","LastName":"McMurray","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"McMurray T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"749cc75b-1f9f-46d1-90a2-a0c37a7fa362","Number":1,"Affiliation":"Mississippi State University","City":"Mississippi State","State":"MS","Country":"USA","AffiliationDisplay":"Mississippi State University, Mississippi State MS, USA"}],"AuthorsHtml":"Smith D1, Lucas A1, Wills R1, McMurray T1","AffiliationsHtml":"
1Mississippi State University, Mississippi State MS, USA
"}],"DisplayName":"David Smith","TimeDisplay":null},{"ContactId":"d335b291-d01f-41b8-ac79-f891a1b23010","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Rebecca","LastName":"Smith","Position":"","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/31b9e6ce88d240078834d0e5c9b2c470","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"linkedin.com/in/rebecca-smith-b29a261ab","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"linkedin.com/in/rebecca-smith-b29a261ab","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://linkedin.com/in/rebecca-smith-b29a261ab","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://linkedin.com/in/rebecca-smith-b29a261ab","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"The role of owners and veterinarians in identifying problems and finding solutions during consultations for older horses ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"73285516-2681-481f-b5a8-7a82b6231c66","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"2217e024-3689-4642-b739-685d7445e462","Html":null,"PlainText":"Objective(s)
The presentation of horses for veterinary attention in the UK reduces with increasing age; despite the population experiencing high morbidity rates. Lack of veterinary involvement prevents opportunities to support improved equine welfare. This study sought to explore experiences of owners and their veterinarian when managing horses into older age, to identify how management and health care decisions were made and the ways in which caregivers shaped outcomes for a horse.

Materials and methods
Qualitative data included open-access online discussion forum threads focused on older horse care (280 comments) and in-depth interviews with 26 horse owners and nine corresponding veterinarians. Data were collected and analysed using a constructivist grounded theory approach.

Results
Owners sought veterinary advice for routine care and problem-based consultations. For veterinarians, the way in which owners presented the issue of concern framed the consultation. Issues considered to be problematic for a horse were constructed through an interplay between owner and veterinarian. Owners placed emphasis on their veterinarian gaining contextual understanding of their priorities and concerns. This was dependent upon successful communication and impacted on whether problems and solutions identified were considered relevant. Veterinarians emphasised their professional assessment of a horse, however, this assessment was shaped by a veterinarian’s perceptions of socially acceptable care and questions asked by an owner. Solutions were navigated alongside practical factors including; the horse-keeping environment and the provision of companionship. Veterinarian-owner relationships impacted on how owners filtered information, acted upon veterinary advice and subsequently sought assistance.

Conclusion
Practical management of an older horse was shaped by the veterinarian-owner relationship and their construction of appropriate care. As care decisions are not clear cut, the priorities of both owners and veterinarians must be integrated to benefit a horse. This was necessary to create collaborative relationships and increase opportunity for veterinarian involvement in management decisions.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2217e024-3689-4642-b739-685d7445e462","Title":"Miss","FirstName":"Rebecca","LastName":"Smith","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Smith R"},{"PresentationId":"2217e024-3689-4642-b739-685d7445e462","Title":"Prof.","FirstName":"Gina","LastName":"Pinchbeck","Position":"Reader in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Pinchbeck G"},{"PresentationId":"2217e024-3689-4642-b739-685d7445e462","Title":"Professor","FirstName":"Cathy","LastName":"McGowan","Position":"Head of Veterinary Education; Professor of Equine Internal Medicine","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"McGowan C"},{"PresentationId":"2217e024-3689-4642-b739-685d7445e462","Title":"Dr","FirstName":"Jo","LastName":"Ireland","Position":"Lecturer in Equine Practice","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Ireland J"},{"PresentationId":"2217e024-3689-4642-b739-685d7445e462","Title":"Professor","FirstName":"Elizabeth","LastName":"Perkins","Position":"William Rathbone VI Chair of Community Nursing","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Perkins E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2217e024-3689-4642-b739-685d7445e462","Number":1,"Affiliation":"Department of Livestock and One Health, University of Liverpool","City":"Neston","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Livestock and One Health, University of Liverpool, Neston, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2217e024-3689-4642-b739-685d7445e462","Number":2,"Affiliation":"Department of Equine Clinical Science, University of Liverpool","City":"Neston","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Equine Clinical Science, University of Liverpool, Neston, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2217e024-3689-4642-b739-685d7445e462","Number":3,"Affiliation":"Department of Primary Care and Mental Health, University of Liverpool","City":"Liverpool","State":null,"Country":"United Kingdom","AffiliationDisplay":"Department of Primary Care and Mental Health, University of Liverpool, Liverpool, United Kingdom"}],"AuthorsHtml":"Smith R1, Pinchbeck G1, McGowan C2, Ireland J2, Perkins E3","AffiliationsHtml":"
1Department of Livestock and One Health, University of Liverpool, Neston, United Kingdom
2Department of Equine Clinical Science, University of Liverpool, Neston, United Kingdom
3Department of Primary Care and Mental Health, University of Liverpool, Liverpool, United Kingdom
"}],"DisplayName":"Rebecca Smith","TimeDisplay":null},{"ContactId":"6a93d155-2b26-4eb9-8474-1f5e5c2578f1","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Rebecca Lee","LastName":"Smith","Position":"Associate Professor","Organization":"University of Illinois","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9a871ba22cd947cdbd55806afa5d5ace","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"rlsdvm_epivet","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"rlsdvm_epivet","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=rlsdvm_epivet","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=rlsdvm_epivet","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"“Cows don’t get invited to keggers”: Applying principles of veterinary epidemiology to COVID-19 control in schools and colleges","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3444e93f-520e-4c61-a80c-376f1d32b798","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ec7587f1-e691-4ef1-8f39-c9b9e5757dfe","Html":null,"PlainText":"Control of infectious diseases in a semi-closed population is a specialty within veterinary epidemiology, making veterinary epidemiologists uniquely qualified to assist in planning for COVID-19 control in schools and colleges. However, there are areas of infection control in school populations for which veterinarians have been ill-prepared. Human behavior and the importance of individual risk communication require a different approach than is typical in veterinary disease control.

We will present the example of the Shield system, a comprehensive COVID-19 control program as applied at the University of Illinois Urbana-Champaign and in primary and secondary schools throughout the state of Illinois, as an example of the application of principles of veterinary epidemiology to pandemic response in human populations. Specifically, the use of risk-based surveillance has been used effectively to control outbreaks while minimizing impact on education through the Test-to-Stay program. In addition, multiple modeling approaches were used to identify control programs that may have been effective. However, individual-level risk-taking behaviors, especially those associated with social activities, have lowered the efficacy of population-based approaches. In addition, the inability to create a closed population led to limitations on control.

The findings from this pandemic can provide recommendations for animal health control in situations with high levels of external contact and varying degrees of compliance, such as sale barns and animal shelters. In particular, use of risk-based surveillance and behavioral mandates and nudges were more effective than reliance on personal behavior modification and mass communication.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ec7587f1-e691-4ef1-8f39-c9b9e5757dfe","Title":"Ms.","FirstName":"Rebecca","LastName":"Lee Smith","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Lee Smith R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ec7587f1-e691-4ef1-8f39-c9b9e5757dfe","Number":1,"Affiliation":"University Of Illinois","City":"Urbana","State":"IL","Country":"USA","AffiliationDisplay":"University Of Illinois, Urbana IL, USA"}],"AuthorsHtml":"Lee Smith R1","AffiliationsHtml":"
1University Of Illinois, Urbana IL, USA
"}],"DisplayName":"Rebecca Lee Smith","TimeDisplay":null},{"ContactId":"68028203-d06a-4efb-a07c-7688e8007e22","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kurtis","LastName":"Sobkowich","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Dashboard Best Practices: From COVID-19 and Honeybees to AMR and Beyond","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3e92c612-9813-45ad-825f-6027761ab0ac","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.D - Risk Assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"f9bfff17-1b5d-45ce-8cd3-8295ade94a25","Html":null,"PlainText":"Objectives
The COVID-19 pandemic popularized dashboards for epidemiological data visualization and communication. Hundreds of dashboards, developed for a common purpose and audience, provided a rare opportunity for comparison to understand factors for dashboard success. A review of COVID-19 dashboards found seven criteria to be shared amongst those most effective, ranging from appropriate data management to knowledge of the audience’s needs. As more dashboards are developed and new technologies are integrated, essential criteria and best practices need to evolve.

Methods
The “HIVE dashboard”, developed to collect and communicate epidemiological data about the honey bee parasite, Varroa destructor, provides a practical example of how to develop an effective disease dashboard. An assessment was conducted to determine end-user perceptions using the seven criteria and to provide feedback for dashboard improvements. The criteria were also considered in the conceptualization of an AMR dashboard.

Results
The HIVE dashboard demonstrated a high degree of user-perceived actionability with a seven-criteria assessment model. A reflection on this dashboard’s assessment process is presented, along with a discussion on the needs for fluid criteria for future dashboards.

Conclusions
Emerging technologies, including big data, sensors and machine learning, pose exciting opportunities for the future of dashboards, which will inevitably become more widespread. However, as with all epidemiological methodologies, guiding principles and best practices are necessary to ensure they are developed appropriately and effectively. This reflection on existing dashboards and their future potential provides such a framework.

Keywords
Dashboard, Health Informatics, Data Visualization, Knowledge Mobilization, Disease Surveillance
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1University Of Guelph - Department Of Population Medicine, Guelph ON, Canada
2Ontario Ministry of Agriculture, Food and Rural Affairs, Guelph ON, Canada
"}],"DisplayName":"Kurtis Sobkowich","TimeDisplay":null},{"ContactId":"09dea546-81ff-440d-9461-01e4ce23ba04","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Youngmin","LastName":"Son","Position":null,"Organization":"Animal and Plant Quarantine Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Prediction of the high risk area for ASF spread in pig farms by modelling the spatial distribution of ASF-infected wild boar in Gangwon-do, South Korea","Bio":null,"PresentationTypeName":"Poster (ISVEE to print/put up poster)","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4dd1bfa4-8c42-46d5-b8ec-4ce7aa3c0b00","Html":null,"PlainText":"Objective: In the last 2 years (2020-2021), ASF outbreaks in domestic pig farms were reported only in Gangwon Province in South Korea. Moreover, ASF is widespread in wild boar in Gangwon Province (17 out of 18 cities), the potential for the outbreaks of ASF in pig farms is high. Here, we investigate to identify the high risk areas for ASF spreads by modelling the spatial distribution of ASF-infected wild boar in Gangwon Province, South Korea.
Materials and Methods: We used 1,169 cases of ASF surveillance data of wild boar in Gangwon Province during 2019-2021 and 15 environmental variables extracted from the land cover map as of 2021. The Maximum Entropy (MaxEnt) species distribution model (SDM) was used to model the spatial distribution of wild boar infected with ASF.
Results: The mean area under the receiver operating characteristic curve (AUC) for the 5 replicates of the MaxEnt model was 0.751 (±0.020), which means that SDM has good model performance. The most significant environmental factors affecting the distribution of ASF-infected wild was the elevation (36.5%), followed by distance from the grave (19.3%), slope (11.1%). and distance from the rice paddy (7.1%). The average elevation, distance from the grave, slope, and distance from the rice paddy was approximately 410.2m, 2.3km, 15.4 degrees, and 1.9km, respectively. Based on this, 28 out of 221 pig farms in Gangwon Province were found to be located in the area at high risk of ASF spread by ASF-infected wild boar.
Conclusion: In this study, we analyze the area at high risk of ASF spread by ASF-infected wild boar and domestic pig farms located in high risk area in Gangwon Province, South Korea. These findings could be the fundamental information needed to develop an ASF control strategy and a monitoring plan.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4dd1bfa4-8c42-46d5-b8ec-4ce7aa3c0b00","Title":"Dr.","FirstName":"Ilseob","LastName":"Lee","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Lee I"},{"PresentationId":"4dd1bfa4-8c42-46d5-b8ec-4ce7aa3c0b00","Title":"Ms.","FirstName":"Youngmin","LastName":"Son","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Son Y"},{"PresentationId":"4dd1bfa4-8c42-46d5-b8ec-4ce7aa3c0b00","Title":null,"FirstName":"Hachung","LastName":"Yoon","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Yoon H"},{"PresentationId":"4dd1bfa4-8c42-46d5-b8ec-4ce7aa3c0b00","Title":null,"FirstName":"Kyung-Sook","LastName":"Kim","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Kim K"},{"PresentationId":"4dd1bfa4-8c42-46d5-b8ec-4ce7aa3c0b00","Title":"Dr.","FirstName":"Hyundong","LastName":"Jo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Jo H"},{"PresentationId":"4dd1bfa4-8c42-46d5-b8ec-4ce7aa3c0b00","Title":null,"FirstName":"Eunesub","LastName":"Lee","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Lee E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4dd1bfa4-8c42-46d5-b8ec-4ce7aa3c0b00","Number":1,"Affiliation":"Veterinary Epidemiology Division, Animal and Plant Quarantine Agency","City":"Gimcheon-si","State":"Gyeongsangbuk-do","Country":"South Korea","AffiliationDisplay":"Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon-si Gyeongsangbuk-do, South Korea"}],"AuthorsHtml":"Lee I1, Son Y1, Yoon H1, Kim K1, Jo H1, Lee E1","AffiliationsHtml":"
1Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon-si Gyeongsangbuk-do, South Korea
"},{"Title":"Surveillance with information on livestock vehicles visiting pig farms in relation to African swine fever virus detection in wild boars in Korea","Bio":null,"PresentationTypeName":"Poster (ISVEE to print/put up poster)","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"21dce768-514a-4100-b62d-0397a58d8e8f","Html":null,"PlainText":"Objective(s): This study aims to introduce a surveillance system of Korea that provides information to animal health agencies by tracking visits to pig farms by livestock vehicles passing near detection areas of the African swine fever (ASF) virus in wild boars.
Materials and Methods: Risk in the pig farms were assessed and communicated in relation of ASF detection in (found dead, hunted, or captured) wild boars. This includes tracking potential pathways of the virus in association to human behavior, such as vehicle movement.
Results: In this surveillance system, global positioning satellite is used to identify livestock vehicles that have passed a radius of three km from the detection point of ASF in wild boar during specific periods. Then, using an artificial intelligence-based program, their visits to pig farms are looked, and whether these vehicles have accessed inner area of the farm fence is checked. Daily and weekly reports and supporting information are written by Robotic Process Automation.
Conclusion: The reports are provided daily and weekly, to the animal health agencies nationwide by official document system, with statistics on the type of livestock vehicles and the geographical distribution of the farms visited. This information contributes to preparedness customized for the local situation. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"21dce768-514a-4100-b62d-0397a58d8e8f","Title":"Ms.","FirstName":"Youngmin","LastName":"Son","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Son Y"},{"PresentationId":"21dce768-514a-4100-b62d-0397a58d8e8f","Title":null,"FirstName":"Hachung","LastName":"Yoon","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Yoon H"},{"PresentationId":"21dce768-514a-4100-b62d-0397a58d8e8f","Title":"Dr.","FirstName":"Ilseob","LastName":"Lee","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Lee I"},{"PresentationId":"21dce768-514a-4100-b62d-0397a58d8e8f","Title":null,"FirstName":"Kyung-Sook","LastName":"Kim","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Kim K"},{"PresentationId":"21dce768-514a-4100-b62d-0397a58d8e8f","Title":null,"FirstName":"Eunesub","LastName":"Lee","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Lee E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"21dce768-514a-4100-b62d-0397a58d8e8f","Number":1,"Affiliation":"Veterinary Epidemiology Division, Animal and Plant Quarantine Agency","City":"Gimcheon-si","State":"Gyeongsangbuk-do","Country":"South Korea","AffiliationDisplay":"Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon-si Gyeongsangbuk-do, South Korea"}],"AuthorsHtml":"Son Y1, Yoon H1, Lee I1, Kim K1, Lee E1","AffiliationsHtml":"
1Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon-si Gyeongsangbuk-do, South Korea
"},{"Title":"Regionalization for foot-and-mouth disease management during the winter special control period in Korea","Bio":null,"PresentationTypeName":"Poster (ISVEE to print/put up poster)","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"db2b7d49-86f0-4bce-bd2d-83d18121dce4","Html":null,"PlainText":"Objective(s): In Korea, every winter from the start of October to the end of February is designated as a special management period to strengthen the prevention of transboundary animal diseases. The standard operation procedure of FMD, revised in June 2020, stipulates that the regionalization must be renewed based on the latest epidemiological data at the start of this period each year. In this study, regionalization for control foot-and-mouth disease and its epidemiology over last 2 years are presented.
Materials and methods: Based on regionalization, data on farms with cloven-hoofed animals, related facilities, proportion of antibody from FMD vaccine, networks due to movement of animals and vehicles to farms or slaughterhouses are analyzed twice per year.
Results: For regionalization, five major regions (provincial level) and ten sub-regions (municipal level) were divided according to administrative districts. For the 2021/2022 special management period, some adjustments were made at the level of the sub-region in reflecting results of epidemiological analysis in previous year. The convenience of execution of vaccination and the use of slaughterhouses were considered.
Conclusion: The information derived through periodic renew in regionalization and subsequent epidemiological analysis were used to set range of control zone (i.e. for standstill, emergency booster vaccination, and intensive control areas) and prioritize investigations and control measures.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"db2b7d49-86f0-4bce-bd2d-83d18121dce4","Title":null,"FirstName":"Hachung","LastName":"Yoon","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Yoon H"},{"PresentationId":"db2b7d49-86f0-4bce-bd2d-83d18121dce4","Title":null,"FirstName":"Kyung-Sook","LastName":"Kim","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Kim K"},{"PresentationId":"db2b7d49-86f0-4bce-bd2d-83d18121dce4","Title":"Ms.","FirstName":"Youngmin","LastName":"Son","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Son Y"},{"PresentationId":"db2b7d49-86f0-4bce-bd2d-83d18121dce4","Title":"Dr.","FirstName":"Ilseob","LastName":"Lee","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Lee I"},{"PresentationId":"db2b7d49-86f0-4bce-bd2d-83d18121dce4","Title":null,"FirstName":"Eunesub","LastName":"Lee","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Lee E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db2b7d49-86f0-4bce-bd2d-83d18121dce4","Number":1,"Affiliation":"Veterinary Epidemiology Division, Animal and Plant Quarantine Agency","City":"Gimcheon-si","State":"Gyeongsangbuk-do","Country":"South Korea","AffiliationDisplay":"Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon-si Gyeongsangbuk-do, South Korea"}],"AuthorsHtml":"Yoon H1, Kim K1, Son Y1, Lee I1, Lee E1","AffiliationsHtml":"
1Veterinary Epidemiology Division, Animal and Plant Quarantine Agency, Gimcheon-si Gyeongsangbuk-do, South Korea
"}],"DisplayName":"Youngmin Son","TimeDisplay":null},{"ContactId":"3f7d052b-39a9-4d7c-9620-30a77871d9f8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kelsey","LastName":"Spence","Position":"Assistant Professor","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fd526a79754946b3bba0c7811e241639","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Spatial and movement network characteristics of British sports horses and the potential for pathogen spread","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Html":null,"PlainText":"Objectives: To identify areas within Great Britain at highest risk of (i) local pathogen spread between racing and show venues due to spatio-temporal proximity and attendance; (ii) horse contact due to movement between venues and subsequent pathogen spread between disciplines.
Materials and methods: Publicly available 2018 British Horseracing Authority (BHA) and show attendance data were analysed. Spatial and network analysis techniques investigated risk of local and movement-related pathogen spread between disciplines. Kernel ratio maps identified regions with high venue densities. Kulldorff’s focal space-time scan statistic identified significant clusters of BHA and show venues attended within 1 and 3 days of one another. Network analysis identified connections between venues and venues acting as bridges between BHA and show venues.
Results: Highest venue density and highest risk clusters were in south-east England, and temporally significant (P<0.001) during the first half of the year (January-July). Connections between venues was approximately four times higher in summer (June-August) than winter (December-February). BHA and eventing networks had high density (0.96; 0.72) and clustering coefficients (0.96; 0.83), characteristic of small world networks. Dressage and endurance networks had weak densities (0.27; 0.34) but moderate clustering (0.55; 0.61), inclining toward scale-free topologies. Movements formed a single network for seven months (April-July, October-December). Three separate movement components were apparent in January-March and August-September: BHA, endurance, combined eventing-dressage. Two venues connected dressage-eventing and BHA components, and four venues connected the dressage-eventing and endurance components.
Conclusion: There appears to be a risk of pathogen transmission between BHA and other sport horse disciplines, particularly in SE England, and at several venues with direct connections between BHA and other disciplines. Risk-based surveillance and biosecurity practices should be implemented in these areas and venues. Analysis of leisure and other sports horse movement data will allow more detailed characterisation of equine contact networks in Great Britain.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Title":"Mrs.","FirstName":"Tegan","LastName":"McGilvray","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"McGilvray T"},{"PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Title":"Dr","FirstName":"Kim","LastName":"Stevens","Position":"Associate Professor in Spatial Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Stevens K"},{"PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Title":"Dr.","FirstName":"Kelsey","LastName":"Spence","Position":"Assistant Professor","Affiliations":"2","IsPresenting":true,"SortOrder":3,"DisplayName":"Spence K"},{"PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Title":"Dr","FirstName":"Sarah","LastName":"Rosanowski","Position":"Consultant","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Rosanowski S"},{"PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Title":"Professor","FirstName":"Josh","LastName":"Slater","Position":"Professor and Head of Veterinary Clinical Sciences","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Slater J"},{"PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Title":"Dr","FirstName":"Jacqueline","LastName":"Cardwell","Position":"Associate Professor in Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Cardwell J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Number":1,"Affiliation":"Royal Veterinary College","City":"Brookmans Park","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Number":2,"Affiliation":"University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Number":3,"Affiliation":"Equine Veterinary Consultants (EVC) Limited","City":"Hong Kong","State":"Hong Kong","Country":"Hong Kong","AffiliationDisplay":"Equine Veterinary Consultants (EVC) Limited, Hong Kong Hong Kong, Hong Kong"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2ccd0c1f-f474-434b-91b3-1b3f2445d488","Number":4,"Affiliation":"Department of Veterinary Clinical Sciences, Faculty of Veterinary and Agricultural Sciences, University of Melbourne","City":"Werribee","State":"Victoria","Country":"Australia","AffiliationDisplay":"Department of Veterinary Clinical Sciences, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee Victoria, Australia"}],"AuthorsHtml":"McGilvray T1, Stevens K1, Spence K2, Rosanowski S3, Slater J4, Cardwell J1","AffiliationsHtml":"
1Royal Veterinary College, Brookmans Park Hertfordshire, United Kingdom
2University of Guelph, Guelph Ontario, Canada
3Equine Veterinary Consultants (EVC) Limited, Hong Kong Hong Kong, Hong Kong
4Department of Veterinary Clinical Sciences, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee Victoria, Australia
"},{"Title":"A qualitative study of British horse owners’ attitudes and perceptions of biosecurity","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b3e517fe-cf58-4f9a-a3db-4c88394d0e77","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"07d435e9-46ab-4c81-be5c-047beac754c4","Html":null,"PlainText":"Objective: Equine infectious diseases pose a significant health and economic threat to the British horse industry. While horse owners play a critical role in mitigating the risk of outbreaks, little is known about what motivates or prevents them from doing so. The aim of this study was to explore horse owners’ attitudes, perceptions, and experiences of infectious diseases and biosecurity.

Materials and methods: Semi-structured qualitative interviews were conducted with 23 horse owners within the leisure and competition sector across the United Kingdom. Participants were purposively selected to include perspectives from those in different geographic regions, with different management arrangements (e.g., private or shared yards), and length of horse ownership experience. Interviews were audio-recorded, transcribed verbatim, and analyzed using reflexive thematic analysis.

Results: Biosecurity tended to be perceived to be an all-or-nothing approach, with anything less than perfect compliance viewed as ineffective or worthless. Individual actions, such as boot dipping or sanitizing equipment, were regarded as more effort than they were worth in mitigating the risk of pathogen spread. The efficacy of a biosecurity strategy largely depended on actions of others, as individual actions could not counteract poor compliance of other horse owners. Participants attributed others’ lack of biosecurity measures to their questionable morals, describing those who did not comply with biosecurity as careless or selfish. Equating biosecurity with being a ‘good’ horse owner made it difficult for some participants to discuss poor biosecurity with others, since they did not want to be perceived as judging them.

Conclusions: This study provides new insights into horse owners’ perceptions of biosecurity, and how those perceptions may influence the uptake of recommended biosecurity practices. The findings highlight several challenges that could be addressed to improve disease preparedness within the horse industry.

Keywords: Biosecurity; Disease preparedness; Qualitative research; Equine infectious diseases; Knowledge translation","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"07d435e9-46ab-4c81-be5c-047beac754c4","Title":"Dr.","FirstName":"Kelsey","LastName":"Spence","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Spence K"},{"PresentationId":"07d435e9-46ab-4c81-be5c-047beac754c4","Title":"Dr.","FirstName":"Sarah","LastName":"Rosanowski","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Rosanowski S"},{"PresentationId":"07d435e9-46ab-4c81-be5c-047beac754c4","Title":"Dr.","FirstName":"Josh","LastName":"Slater","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Slater J"},{"PresentationId":"07d435e9-46ab-4c81-be5c-047beac754c4","Title":"Dr.","FirstName":"Jacqueline","LastName":"Cardwell","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Cardwell J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"07d435e9-46ab-4c81-be5c-047beac754c4","Number":1,"Affiliation":"Department of Population Medicine, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"07d435e9-46ab-4c81-be5c-047beac754c4","Number":2,"Affiliation":"Equine Veterinary Consultants (EVC) Limited","City":null,"State":null,"Country":"Hong Kong","AffiliationDisplay":"Equine Veterinary Consultants (EVC) Limited, Hong Kong"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"07d435e9-46ab-4c81-be5c-047beac754c4","Number":3,"Affiliation":"Department of Veterinary Clinical Sciences, University of Melbourne","City":"Werribee","State":"Victoria","Country":"Australia","AffiliationDisplay":"Department of Veterinary Clinical Sciences, University of Melbourne, Werribee Victoria, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"07d435e9-46ab-4c81-be5c-047beac754c4","Number":4,"Affiliation":"Veterinary Epidemiology, Economics, and Public Health Group, Royal Veterinary College","City":"Hatfield","State":"Hertfordshire","Country":"United Kingdom","AffiliationDisplay":"Veterinary Epidemiology, Economics, and Public Health Group, Royal Veterinary College, Hatfield Hertfordshire, United Kingdom"}],"AuthorsHtml":"Spence K1, Rosanowski S2, Slater J3, Cardwell J4","AffiliationsHtml":"
1Department of Population Medicine, University of Guelph, Guelph ON, Canada
2Equine Veterinary Consultants (EVC) Limited, Hong Kong
3Department of Veterinary Clinical Sciences, University of Melbourne, Werribee Victoria, Australia
4Veterinary Epidemiology, Economics, and Public Health Group, Royal Veterinary College, Hatfield Hertfordshire, United Kingdom
"}],"DisplayName":"Kelsey Spence","TimeDisplay":null},{"ContactId":"e6773c3d-1fb9-4cde-9313-37d7ff2376ac","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Deborah","LastName":"Stacey","Position":"Associate Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The Burden of Comparison: The implications of discrepancies across livestock data sources","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"328192c0-d1c8-4b2b-9f4c-b578cfe52b34","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.E - Epidemiologic Principles and Methods (Bias)","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"e9992d67-f57f-4ec6-808e-e9dce3f73e75","Html":null,"PlainText":"Objectives
All models of livestock production and health as well as the impact of animal agriculture on climate rely on representative counts for different species. The number of animals and their live/slaughter weights are integral to the calculation of biomass, which is an important part in many models. It would seem to be a simple process to obtain the numbers of a particular species in countries all over the globe. Unfortunately, there are a limited number of data sources for these statistics and upon examination these numbers rarely agree.

The Informatics theme of the Global Burden of Animal Diseases (GBADs) examined a number of data sources for population counts and weights including FAOSTAT, OIE, and reports on livestock from the Central Statistical Agency of Ethiopia.

Methods
A data analysis tool, which analyzes categories of livestock species, was created by our team. The tool was used to study data from the Ethiopian livestock reports and analyze animal categories across selected countries.

Results
Data analysis with our comparison tool revealed that there are varying degrees of disagreement between numbers from different data sources. Causes for discrepancies were analyzed, revealing a lack of standard definitions and metadata, changes in categorization of animal species over time, and changes in the calculation of statistics (national estimates versus imputation by an international agency). Furthermore, the analysis of Ethiopian statistics demonstrates heterogeneity in data collection across the country.

Conclusion
The accuracy of models is dependent on the data used. Our analysis demonstrates the importance of analyzing the quality of data through the identification of variability between multiple data sources. There is even a need to analyze a single data source longitudinally. Proper analysis and provenance of foundational data is crucial to the confidence we have in modelling outputs.

Keywords: data analysis, livestock, GBADs","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e9992d67-f57f-4ec6-808e-e9dce3f73e75","Title":"Dr.","FirstName":"Deborah","LastName":"Stacey","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Stacey D"},{"PresentationId":"e9992d67-f57f-4ec6-808e-e9dce3f73e75","Title":"Ms.","FirstName":"Kassy","LastName":"Raymond","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Raymond K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9992d67-f57f-4ec6-808e-e9dce3f73e75","Number":1,"Affiliation":"School of Computer Science, University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"School of Computer Science, University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Stacey D1, Raymond K1","AffiliationsHtml":"
1School of Computer Science, University Of Guelph, Guelph ON, Canada
"}],"DisplayName":"Deborah Stacey","TimeDisplay":null},{"ContactId":"825921bc-56c1-4da1-836e-0bd3f74e9a99","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Arjan","LastName":"Stegeman","Position":"Professor","Organization":"Utrecht University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/134a3fb29670492391e08c8b34c3906b","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Role of pets in SARS-CoV-2 transmission, the Netherlands 2020 - 2021","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Html":null,"PlainText":"Keywords: SARS-CoV-2, cat, dog, transmission, zoonotic

Objective
The aim of this study was to establish the contribution of pets in SARS-CoV-2 spread in the Netherlands.

Methods & Results
Infected pets were found in 24% of 195 Covid-19 affected households; 31/152 cats and 24/156 dogs. In cats, but not in dogs, a positive association between the number of infected humans in a household and the numbers of pets per human was observed. In a household, the partial reproduction ratios (R) were estimated as 1.26 (0.92-1.49) from human to human, 0.56 (0.36-0.78) from human to cat, 0.00 (undet-0.48) from cat to cat and 0.30 (0.00-2.02) from cat to human.
Thousand routinely collected blood samples showed a seroprevalence of 0.4% in cats and 0.2% in dogs during the first Covid-19 wave and 0.3% in cats and 2.3% in dogs during the second wave. In 240 samples collected from cats housed in 28 shelters, only two proved seropositive and all 285 stray cats from 24 different locations in the Netherlands were (sero)negative. In dogs and cats submitted to post mortem 1/240 dogs was PCR positive, while 5/188 cats proved seropositive.
Under controlled conditions, transmission of SARS-CoV-2 was successful in 3 out of 4 cats in direct contact and 1 out of 8 cats in indirect contact. Reproduction ratio was estimated 2.12 (0.93-4.08) with a virus decay rate of 2.73 (0.77-15.82) day-1, i.e. infectious for 8.8 hours after shedding.

Conclusions
Infection of cats and dogs in Covid-19 positive households occurs frequently and cats can transmit the virus (indirectly) to other cats. Although the results suggest that transmission from human to cat could be followed by transmission from cat to human, our overall conclusion is that the contribution of dogs and cats to the size of the SARS-CoV-2 epidemic in the Netherlands has been insignificant.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Title":"Prof.","FirstName":"Arjan","LastName":"Stegeman","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Stegeman A"},{"PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Title":"Dr.","FirstName":"Els","LastName":"Broens","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Broens E"},{"PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Title":"Dr.","FirstName":"Herman","LastName":"Egberink","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Egberink H"},{"PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Title":"Professor","FirstName":"Marion","LastName":"Koopmans","Position":"Full Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Koopmans M"},{"PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Title":"Professor","FirstName":"Wim","LastName":"van der Poel","Position":"Senior Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"van der Poel W"},{"PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Title":"prof.dr.ir.","FirstName":"Mart C.M","LastName":"de Jong","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"de Jong M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Number":1,"Affiliation":"Utrecht University","City":"Utrecht","State":null,"Country":"Netherlands","AffiliationDisplay":"Utrecht University, Utrecht, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Number":2,"Affiliation":"Erasmus Medical Centre","City":"Rotterdam","State":null,"Country":"Netherlands","AffiliationDisplay":"Erasmus Medical Centre, Rotterdam, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Number":3,"Affiliation":"Wageningen Bioveterinary Research","City":"Lelystad","State":null,"Country":"Netherlands","AffiliationDisplay":"Wageningen Bioveterinary Research, Lelystad, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9038b7f3-7afd-46c4-a6a8-d6d368baa232","Number":4,"Affiliation":"Wageningen University","City":"Wageningen","State":null,"Country":"Netherlands","AffiliationDisplay":"Wageningen University, Wageningen, Netherlands"}],"AuthorsHtml":"Stegeman A1, Broens E1, Egberink H1, Koopmans M2, van der Poel W3, de Jong M4","AffiliationsHtml":"
1Utrecht University, Utrecht, Netherlands
2Erasmus Medical Centre, Rotterdam, Netherlands
3Wageningen Bioveterinary Research, Lelystad, Netherlands
4Wageningen University, Wageningen, Netherlands
"},{"Title":"Wild bird densities and landscape variables predict spatial patterns in HPAI outbreak risk across the Netherlands","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0791157-2a58-4eff-83c4-05e358114fbc","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.E - Epidemiology of avian influenza","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Html":null,"PlainText":"Keywords : Highly Pathogenic Avian Influenza, wild bird species, poultry, landscape, risk map

Highly pathogenic avian influenza (HPAI) viruses transmission from wild birds to poultry occurs globally and threatens animal and public health. In this study we quantified HPAI outbreak risk in relation to wild bird densities and land cover variables.

Methods
We conducted a case-control study of 16 HPAI outbreaks (i.e. cases) on Dutch poultry farms. We trained machine learning classifiers to predict outbreak risk with predictors analysed at different spatial scales.

Results
Of the 20 best explaining predictors, 17 consisted of densities of water-associated bird species, 2 of birds of prey, and only one variable represented the surrounding landscape, i.e. agricultural cover. Spatial distribution of mallard (Anas platyrhynchos) contributed most to HPAI risk prediction, followed by mute swans (Cygnus olor), common kestrel (Falco tinnunculus) and Brant Goose (Branta bernicla). The model successfully distinguished cases from controls, with an area under the receiver operating characteristic curve of 0.93, indicating accurate prediction of HPAI outbreak risk despite the limited number of cases. Different classification algorithms led to similar predictions, demonstrating robustness of the risk maps.

Conclusions
These analyses and risk maps can help understanding the role of wild bird species and support prioritization of areas for surveillance, biosecurity measures and establishments of new poultry farms to reduce HPAI outbreak risks.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Title":"Prof.","FirstName":"Arjan","LastName":"Stegeman","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Stegeman A"},{"PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Title":"Dr.","FirstName":"Janneke","LastName":"Schreuder","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Schreuder J"},{"PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Title":"Dr.","FirstName":"Henjo","LastName":"de Knegt","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"de Knegt H"},{"PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Title":"Dr.","FirstName":"Francisca","LastName":"Velkers","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Velkers F"},{"PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Title":"Dr. ","FirstName":"Julia","LastName":"Stahl","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Stahl J"},{"PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Title":"Dr.","FirstName":"Fred","LastName":"de Boer","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"de Boer F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Number":1,"Affiliation":"Utrecht University","City":"Amersfoort","State":"Utrecht","Country":"Netherlands","AffiliationDisplay":"Utrecht University, Amersfoort Utrecht, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Number":2,"Affiliation":"Wageningen University and Research","City":"Wageningen","State":null,"Country":"Netherlands","AffiliationDisplay":"Wageningen University and Research, Wageningen, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"baad4992-d1b5-4bad-9fc1-adeaa0f5fe79","Number":3,"Affiliation":"Sovon","City":"Nijmegen","State":null,"Country":"Netherlands","AffiliationDisplay":"Sovon, Nijmegen, Netherlands"}],"AuthorsHtml":"Stegeman A1, Schreuder J2, de Knegt H2, Velkers F1, Stahl J3, de Boer F2","AffiliationsHtml":"
1Utrecht University, Amersfoort Utrecht, Netherlands
2Wageningen University and Research, Wageningen, Netherlands
3Sovon, Nijmegen, Netherlands
"}],"DisplayName":"Arjan Stegeman","TimeDisplay":null},{"ContactId":"d5f46e9c-67ff-469d-b39c-17a30de26297","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Organization":"University of Melbourne","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Confirmation of the absence of Coxiella burnetii in Australian commercial dairy goat herds","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"211567e6-3978-4121-a8b7-9ae3a0bedd34","Html":null,"PlainText":"Objective
We used scenario tree methods to determine how different disease detection methods might be used to provide quantitative evidence that Australian dairy goat herds are free of coxiellosis.

Materials and methods
The purpose of a fit-for-purpose C. burnetii surveillance system is to identify evidence of the presence of antigen as well as evidence of an immune response to C. burnetii infection. Our case definition was at least one doe in a dairy goat herd showing evidence of either active or past C. burnetii infection using three candidate surveillance system components (SSCs): (1) testing of bulk tank milk using a C. burnetii ELISA; (2) testing of individual does using the com1 PCR; and (3) laboratory investigations of abortions and stillborn kids submitted to a diagnostic laboratory.

Results
Of the seven candidate surveillance strategies (combinations of the SSCs listed above) individual doe and BTM testing combined returned the highest surveillance system sensitivity of 0.32. Assuming a 0.50 prior probability of disease freedom we estimate that monthly BTM combined with 6-monthly individual doe PCR testing returned a 95% confidence that C. burnetii was absent following 40 months of testing.

Conclusions
Selection of the most efficient combination of surveillance system components requires a good understanding of initial herd C. burnetii status and the probability of introduction of infection and how this may change over time. Scenario tree analyses results have provided insight into key determinants of disease detection ability.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"211567e6-3978-4121-a8b7-9ae3a0bedd34","Title":"Mr","FirstName":"Kangwei","LastName":"Hou","Position":"Graduate Student","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Hou K"},{"PresentationId":"211567e6-3978-4121-a8b7-9ae3a0bedd34","Title":"Dr.","FirstName":"Simon","LastName":"Firestone","Position":"Associate Professor in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Firestone S"},{"PresentationId":"211567e6-3978-4121-a8b7-9ae3a0bedd34","Title":"Ms.","FirstName":"Anke","LastName":"Wiethoelter","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Wiethoelter A"},{"PresentationId":"211567e6-3978-4121-a8b7-9ae3a0bedd34","Title":"Dr","FirstName":"John","LastName":"Stenos","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Stenos J"},{"PresentationId":"211567e6-3978-4121-a8b7-9ae3a0bedd34","Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Stevenson M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"211567e6-3978-4121-a8b7-9ae3a0bedd34","Number":1,"Affiliation":"University Of Melbourne","City":"Parkville","State":"Victoria","Country":"Australia","AffiliationDisplay":"University Of Melbourne, Parkville Victoria, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"211567e6-3978-4121-a8b7-9ae3a0bedd34","Number":2,"Affiliation":"Australian Rickettsial Reference Laboratory","City":"Geelong","State":"Victoria","Country":"Australia","AffiliationDisplay":"Australian Rickettsial Reference Laboratory, Geelong Victoria, Australia"}],"AuthorsHtml":"Hou K1, Firestone S1, Wiethoelter A1, Stenos J2, Stevenson M1","AffiliationsHtml":"
1University Of Melbourne, Parkville Victoria, Australia
2Australian Rickettsial Reference Laboratory, Geelong Victoria, Australia
"},{"Title":"Detection of Varroa destructor in honeybee colonies in non-endemic areas","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"45a1a036-b953-4f2b-95ce-a65a1a16330c","Html":null,"PlainText":"Objectives
The aim of this study was to use scenario tree methods to estimate the surveillance system sensitivity of the ‘Sugar Shake Program’ for detecting Varroa destructor in Australian honeybee colonies.

Materials and methods
The population at risk was both managed and feral honeybee colonies in the Melbourne Metropolitan (Victoria, Australia) area. Our case definition was a honeybee colony infested with Varroa destructor and the detection process was the observation of at least one Varroa mite within a colony.

The apiary-level design prevalence was set to 1 in 23,300 (4.3 per 100,000 apiaries). The within-apiary colony design prevalence for apiaries that were Varroa-positive was set to 0.80 and the diagnostic sensitivity of the sugar shake method assumed to be 0.65.

All beekeepers were eligible to take part in the Sugar Shake Team program, with around 200 colonies (one from each apiary) tested per round in the Melbourne Metropolitan area. Testing was not carried out in feral colonies.

Results
The probability of detecting Varroa after a single round of testing using the current Sugar Shake Team testing program was 0.40%. Even with 500 apiaries tested and assuming a relatively high design prevalence of 67 Varroa-positive apiaries per 100,000 (equivalent to 20 infested colonies in the Melbourne Metropolitan area) the probability of selecting an infested colony after a single round of Sugar Shake Team testing was only 14.6%.

Conclusions
The Sugar Shake Team testing program is not fit for purpose as a means for early detection of Varroa destructor incursions into Australia.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"45a1a036-b953-4f2b-95ce-a65a1a16330c","Title":"Dr","FirstName":"Robert","LastName":"Owen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Owen R"},{"PresentationId":"45a1a036-b953-4f2b-95ce-a65a1a16330c","Title":"Prof.","FirstName":"Jean-Pierre","LastName":"Scheerlinck","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Scheerlinck J"},{"PresentationId":"45a1a036-b953-4f2b-95ce-a65a1a16330c","Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":3,"DisplayName":"Stevenson M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"45a1a036-b953-4f2b-95ce-a65a1a16330c","Number":1,"Affiliation":"University Of Melbourne","City":"Parkville","State":"Victoria","Country":"Australia","AffiliationDisplay":"University Of Melbourne, Parkville Victoria, Australia"}],"AuthorsHtml":"Owen R1, Scheerlinck J1, Stevenson M1","AffiliationsHtml":"
1University Of Melbourne, Parkville Victoria, Australia
"}],"DisplayName":"Mark Stevenson","TimeDisplay":null},{"ContactId":"0b8c2588-2677-4915-8bd5-a08bd1ff50cf","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Pascale","LastName":"Stiles","Position":"Epidemiologist","Organization":"National Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d9fa42dce75847beb3f4dc4c70deeef6","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Predictive risk mapping of introduction of avian influenza in Swedish poultry","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"770ebe47-1f48-44bc-92c3-0bcde88690e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.C - Risk Assessment","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"e95b4046-f861-4294-9b62-76091083e788","Html":null,"PlainText":"Objectives. The objective of this study is to identify areas in Sweden at higher risk for introduction of highly pathogenic avian influenza (HPAI) to poultry farms.

Materials and methods. We utilized data from prior HPAI outbreaks on Swedish poultry holdings (commercial farms and hobby flocks) spanning 2016-2021. We used the Swedish farm registry to gather information for all registered holdings with poultry or other captive birds in operation from July 2016 through June 2021. A Bayesian spatiotemporal regression model was performed to examine risk factors for HPAI detection on a poultry holding. We investigated the role of target wild bird species (birds in the families Anatidae and Laridae) density, occurrence of HPAI in wild birds, land cover within different buffers of farms and specific farm-level variables, such as species, type of production, whether animals were housed outdoors, and farm size.

Results. There were 31 detections of HPAI on Swedish holdings with poultry or other captive birds between November 2016 and April 2021, with only 7 detections occurring prior to November 2020. HPAI outbreaks in poultry were highly seasonal, with the highest risk during the months of January, February, and March in any given year. Spatially, the highest risk was in the southern county of Skåne, where there was also a high density of poultry holdings. The odds of HPAI detection were higher in holdings within 1 km of at least one HPAI-positive wild bird. Additionally, HPAI detection was positively associated with the target wild bird density within 1 km of the farm’s location.

Conclusion. This study helped to identify high-risk areas where targeted HPAI prevention measures could be applied. Ultimately, this serves to improve animal welfare through reducing the risk of outbreaks as well as avoiding unnecessary interventions, such as housing of poultry indoors, in low-risk areas.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e95b4046-f861-4294-9b62-76091083e788","Title":"Dr.","FirstName":"Pascale","LastName":"Stiles","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Stiles P"},{"PresentationId":"e95b4046-f861-4294-9b62-76091083e788","Title":"Dr.","FirstName":"Malin","LastName":"Grant","Position":"Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Grant M"},{"PresentationId":"e95b4046-f861-4294-9b62-76091083e788","Title":"Dr.","FirstName":"Hyeyoung","LastName":"Kim","Position":"Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Kim H"},{"PresentationId":"e95b4046-f861-4294-9b62-76091083e788","Title":"Dr.","FirstName":"Arianna","LastName":"Comin","Position":"Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Comin A"},{"PresentationId":"e95b4046-f861-4294-9b62-76091083e788","Title":"Dr.","FirstName":"Maria","LastName":"Nöremark","Position":"Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Nöremark M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e95b4046-f861-4294-9b62-76091083e788","Number":1,"Affiliation":"Department of Epidemiology and Disease Control, National Veterinary Institute","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Epidemiology and Disease Control, National Veterinary Institute, Uppsala, Sweden"}],"AuthorsHtml":"Stiles P1, Grant M1, Kim H1, Comin A1, Nöremark M1","AffiliationsHtml":"
1Department of Epidemiology and Disease Control, National Veterinary Institute, Uppsala, Sweden
"},{"Title":"Spatio-temporal prediction of West Nile virus vector Culex tarsalis abundance","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"7130dff3-7d4b-42d1-ba43-07a4eab92b05","Html":null,"PlainText":"Objectives. West Nile virus (WNV) is a zoonotic arbovirus that cycles between avian hosts and mosquito vectors, particularly mosquitoes in the genus Culex, that can spill over to mammals through the bites of infected mosquitoes. Disease prevention primarily relies on mosquito control with entomological surveillance guiding the application of adulticides in an area when risk indicators, particularly mosquito abundance and WNV infection prevalence in mosquitoes, become elevated. Because vector control districts often operate with limited resources, knowledge of where and when upcoming high-risk periods are expected, and the certainty of that estimate, is critical for allocating resources appropriately.

Materials and Methods. We employed a generalized additive model (GAM) to estimate spatio-temporal trends in Cx. tarsalis abundance in the Central Valley of California, the region with the highest WNV incidence in the state. The model was validated through a k-fold cross-validation procedure and used to predict weekly Cx. tarsalis abundance across the Central Valley for the years 2016-2020 using data observed up to the week prior to that being predicted in order to mimic the progression of knowledge during a surveillance season.

Results. The GAM found strong seasonal patterns in abundance, modified by local land use and spatio-temporal anomalies. Additionally, the models maintained a similar predictive accuracy for out-of-sample data compared to that for the training data set. We then predicted Cx. tarsalis one week in the future at sites within 10 km of an observed trap within the prior four weeks. We observed predictions to be most accurate when the nearest observed trap was within 2 km and one week prior, thus limiting the window of utility for making short-term future predictions of abundance.

Conclusion. Ultimately these results provided a step towards improved spatial risk estimation of WNV transmission, specifically of future high-risk periods in a high-incidence region of California.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"7130dff3-7d4b-42d1-ba43-07a4eab92b05","Title":"Dr.","FirstName":"Pascale","LastName":"Stiles","Position":"Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Stiles P"},{"PresentationId":"7130dff3-7d4b-42d1-ba43-07a4eab92b05","Title":"Dr.","FirstName":"Christopher","LastName":"Barker","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Barker C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"7130dff3-7d4b-42d1-ba43-07a4eab92b05","Number":1,"Affiliation":"Pathology, Microbiology, and Immunology, University of California, Davis","City":"Davis","State":"California","Country":"United States","AffiliationDisplay":"Pathology, Microbiology, and Immunology, University of California, Davis, Davis California, United States"}],"AuthorsHtml":"Stiles P1, Barker C1","AffiliationsHtml":"
1Pathology, Microbiology, and Immunology, University of California, Davis, Davis California, United States
"}],"DisplayName":"Pascale Stiles","TimeDisplay":null},{"ContactId":"c1e26959-4477-49e3-8eb1-eec5eb1b1426","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kayla","LastName":"Strong","Position":"PhD Candidate","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/13bf135614694ba981712457f1a952b6","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Factors Associated with Antimicrobial Resistant Enterococcus Spp. in the North American Farm to Retail Continuum: A Scoping Review ","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Html":null,"PlainText":"Keywords: One Health, Beef Cattle, Antimicrobial Resistance, Enterococci.

Objective: Authors aimed to identify factors associated with increased or decreased antimicrobial-resistant enterococci within beef production. Authors limited their scope to factors applicable to the North American production systems.

Materials and methods: A scoping review was conducted following the PRISMA-ScR reporting standard. Five databases were searched by a librarian for all abstracts published before May 2021. Articles were screened (double-blinded) within Covidence systematic review software using a priori inclusion and exclusion criteria. Data was charted using an integrated Covidence extraction form. Quality of evidence was not an exclusion factor.

Results: Of 725 articles screened, 26 were selected for inclusion. Eight of the extracted articles were published after 2018. Most studies occurred in a feedlot environment (n=15), followed by retail (n=6), abattoir (n=3), and farm (n=2). No studies were published specifically on cow-calf operations or transport settings. When assessing resistance, 12 enterococci species were studied within the articles, with E. faecium being the most common, followed by E. faecalis and E. casseliflavus. Resistance was assessed phenotypically for 25 studies and genotypically for 14 studies. 13 studies assessed both phenotypic and genotypic resistance. The following factors were captured within the review: antimicrobial administration (n=13), raised without antimicrobials labelled beef products (n=6), metal supplementation (n=4), probiotic supplementation (n=2), or other (n=6). Multiple factors were investigated in five articles. Articles generally reported null or minimal associations with their studied factors and resistance trends. Resistance was often associated with the species of enterococci and the timing of sampling relative to exposure.

Conclusion: Included studies often had nuanced findings. Association with AMR varied depending on the enterococci species, phenotype and genotype, and sampling timeline. Significant data gaps specific to factors at cow-calf operations, abattoir and retail environments prompt a call for further research in this space.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Title":"Miss","FirstName":"Kayla","LastName":"Strong","Position":"PhD Candidate","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Strong K"},{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Title":"Ms.","FirstName":"Kaitlin","LastName":"Marasco","Position":"Research Assistant","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Marasco K"},{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Title":"Mr.","FirstName":"Jesse","LastName":"Invik","Position":"Research Assistant","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Invik J"},{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Title":"Mrs.","FirstName":"Heather","LastName":"Ganshorn","Position":"Librarian","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Ganshorn H"},{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Title":"Dr.","FirstName":"Richard","LastName":"Reid-Smith","Position":"Veterinary Epidemiologist","Affiliations":"2,4,5","IsPresenting":false,"SortOrder":5,"DisplayName":"Reid-Smith R"},{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Title":"Dr.","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"6","IsPresenting":false,"SortOrder":6,"DisplayName":"Waldner C"},{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Title":"Dr.","FirstName":"Simon","LastName":"Otto","Position":"Associate Professor","Affiliations":"2,7","IsPresenting":false,"SortOrder":7,"DisplayName":"Otto S"},{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Title":null,"FirstName":"Brennan","LastName":"Chapman","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":8,"DisplayName":"Chapman B"},{"PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Title":"Dr.","FirstName":"Sylvia","LastName":"Checkley","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":9,"DisplayName":"Checkley S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Number":1,"Affiliation":"Faculty of Veterinary Medicine, University Of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"Faculty of Veterinary Medicine, University Of Calgary, Calgary Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Number":2,"Affiliation":"AMR - One Health Consortium","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"AMR - One Health Consortium, Calgary Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Number":3,"Affiliation":"Libraries and Cultural Resources, University Of Calgary ","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"Libraries and Cultural Resources, University Of Calgary , Calgary Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Number":4,"Affiliation":"Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Number":5,"Affiliation":"Ontario Veterinary College, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Number":6,"Affiliation":"Western College of Veterinary Medicine","City":"Saskatoon","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"Western College of Veterinary Medicine, Saskatoon Saskatchewan, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9501a8a-8eee-4b4b-8e9a-ad004f163276","Number":7,"Affiliation":"School of Public Health, University of Alberta","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"School of Public Health, University of Alberta, Edmonton Alberta, Canada"}],"AuthorsHtml":"Strong K1,2, Marasco K1, Invik J1, Ganshorn H3, Reid-Smith R2,4,5, Waldner C6, Otto S2,7, Chapman B5, Checkley S1,2","AffiliationsHtml":"
1Faculty of Veterinary Medicine, University Of Calgary, Calgary Alberta, Canada
2AMR - One Health Consortium, Calgary Alberta, Canada
3Libraries and Cultural Resources, University Of Calgary , Calgary Alberta, Canada
4Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph Ontario, Canada
5Ontario Veterinary College, University of Guelph, Guelph Ontario, Canada
6Western College of Veterinary Medicine, Saskatoon Saskatchewan, Canada
7School of Public Health, University of Alberta, Edmonton Alberta, Canada
"},{"Title":"Factors Associated with Antimicrobial-Resistant Enterococci in the Canadian Beef Production System: Exploring Integrated Assessment Modelling in a One-Health Context","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"8d6829cb-095c-4f27-b3b4-1bc11dc02a01","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 10.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Html":null,"PlainText":"Keywords: One Health, Beef Cattle, Antimicrobial Resistance, Integrated Assessment Model

Objective: Authors aimed to evaluate an integrated assessment model (IAM) for interpretation of factors associated with antimicrobial-resistant (AMR) enterococci in the Canadian beef production system. This is a pan-Canada research initiative in partnership with iAM.AMR.

Materials and methods: Authors extended an existing scoping review to identify factors for model inclusion. The review focused on four predominant \"stages\" in Canadian beef production: cow-calf operations, feedlots, abattoirs, and retail. Relevant information required for modelling was entered into the standardized iAM.AMR database. For each intervention, data were collected to determine the odds ratio (OR) of AMR between exposed versus control samples. Additional study design characteristics were also extracted. The IAM was built using Analytica (Lumina Decision Systems), based on the iAM.AMR base model and adapted to beef production. At each stage of production, weighted factors were based on the OR and anticipated frequency, creating an adjusted baseline for the next stage. The model outcome was a relative probability of AMR in retail beef.

Results: Preliminary results identified nine factors for model inclusion; they were limited to cow-calf and feedlot stages, with none identified in the abattoir or retail environment. Factors were placed at the stage of exposure, which did not always align with sampling. Based on comparisons of interventions, there was a minimal increase in resistance associated with select antimicrobial use. Some reported factors were contradictory and did not always represent the hierarchical structure of the data.

Conclusions: The IAM was an effective tool for examining potential factors and identifying potential gaps. Limitations included lack of restriction by quality of evidence and inconsistent hierarchical presentation of data. Outcomes should be interpreted based on magnitude and directionality, not units at risk. The IAM is considered a useful tool in a broader AMR resource toolbox. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Title":"Miss","FirstName":"Kayla","LastName":"Strong","Position":"PhD Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Strong K"},{"PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Title":"Dr.","FirstName":"Richard","LastName":"Reid-Smith","Position":"Veterinary Epidemiologist","Affiliations":"2,3,4","IsPresenting":false,"SortOrder":2,"DisplayName":"Reid-Smith R"},{"PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Title":"Prof.","FirstName":"Cheryl","LastName":"Waldner","Position":"Professor","Affiliations":"5","IsPresenting":false,"SortOrder":3,"DisplayName":"Waldner C"},{"PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Title":"Dr.","FirstName":"Simon","LastName":"Otto","Position":"Associate Professor","Affiliations":"2,6","IsPresenting":false,"SortOrder":4,"DisplayName":"Otto S"},{"PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Title":null,"FirstName":"Brennan","LastName":"Chapman","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Chapman B"},{"PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Title":"Dr.","FirstName":"John","LastName":"Kastelic","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Kastelic J"},{"PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Title":"Ms.","FirstName":"Sylvia","LastName":"Checkley","Position":"Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":7,"DisplayName":"Checkley S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Number":1,"Affiliation":"University Of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"University Of Calgary, Calgary Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Number":2,"Affiliation":"AMR - One Health Consortium","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"AMR - One Health Consortium, Calgary Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Number":3,"Affiliation":"Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Number":4,"Affiliation":"Ontario Veterinary College, University of Guelph ","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Ontario Veterinary College, University of Guelph , Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Number":5,"Affiliation":"Western College of Veterinary Medicine, University of Saskatchewan","City":"Saskatoon","State":"Saskatchewan","Country":"Canada","AffiliationDisplay":"Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon Saskatchewan, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b51138a2-f5ad-49eb-83b1-856a843ce800","Number":6,"Affiliation":"School of Public Health, University of Alberta","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"School of Public Health, University of Alberta, Edmonton Alberta, Canada"}],"AuthorsHtml":"Strong K1, Reid-Smith R2,3,4, Waldner C5, Otto S2,6, Chapman B4, Kastelic J1, Checkley S1,2","AffiliationsHtml":"
1University Of Calgary, Calgary Alberta, Canada
2AMR - One Health Consortium, Calgary Alberta, Canada
3Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph Ontario, Canada
4Ontario Veterinary College, University of Guelph , Guelph Ontario, Canada
5Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon Saskatchewan, Canada
6School of Public Health, University of Alberta, Edmonton Alberta, Canada
"}],"DisplayName":"Kayla Strong","TimeDisplay":null},{"ContactId":"6a19825d-79bd-451e-b8fd-144cddc75765","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Henrik","LastName":"Stryhn","Position":"Professor","Organization":"Atlantic Veterinary College","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/18e8b4fec5ec4922a0b7f59319aafc2c","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A simulation-based approach to determine sample sizes in stochastic scenario tree models for freedom of disease","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"328192c0-d1c8-4b2b-9f4c-b578cfe52b34","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.E - Epidemiologic Principles and Methods (Bias)","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"56b04975-b41a-4349-9e1f-a98a3c0203d1","Html":null,"PlainText":"Objective: For complex scenario trees, explicit sample size formulas are rare. This study aims to describe how simulations can be organized to determine suitable sample sizes, and additionally to illustrate the impact of key parameters in scenario trees.

Methods: Scenario tree models to quantify the probability of freedom of disease (PFD) are relatively easy to explore by simulation because calculations are conditional on all test results being negative, utilizing the specific tree structure, its nodes and the design prevalence(s). Having drawn values for any quantitative nodes from their respective distributions, models are sequentially updated across the time steps of interest. Looping over candidate sample sizes can determine minimal values to achieve (say) the mean posterior distribution of PFD, aggregated across simulations, to exceed any desired level.

Results: The figure depicts minimal (fixed across periods) sample sizes for a two-level scenario tree model with animal and herd design prevalences both at 0.01, and stochastic nodes for test sensitivity and probability of introduction: PERT(0.40,0.95,0.99) and PERT(0.001,0.030,0.070). Allowing a few time periods to achieve the desired PFD level reduces sample size requirements in each period and only moderately increases the total number of animals. Sampling multiple animals per farm reduces the required number of farms, but may increase the total number of animals substantially.

Conclusion: Scenario tree models allow simulation-based sample calculations targeted to any specific model characteristics.

Keywords: Scenario tree, Simulation, Two-level structure

Figure. Required sample sizes to achieve posterior mean 90% PFD in different time horizons and across different sampling scenarios.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"56b04975-b41a-4349-9e1f-a98a3c0203d1","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/bb096e0fd82a4c75a5c5932e1e6e5f44","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"56b04975-b41a-4349-9e1f-a98a3c0203d1","Title":"Dr.","FirstName":"Henrik","LastName":"Stryhn","Position":null,"Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Stryhn H"},{"PresentationId":"56b04975-b41a-4349-9e1f-a98a3c0203d1","Title":"Dr.","FirstName":"Adel","LastName":"Elghafghuf","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Elghafghuf A"},{"PresentationId":"56b04975-b41a-4349-9e1f-a98a3c0203d1","Title":"Dr.","FirstName":"Jette","LastName":"Christensen","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Christensen J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"56b04975-b41a-4349-9e1f-a98a3c0203d1","Number":1,"Affiliation":"Atlantic Veterinary College","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Atlantic Veterinary College, Charlottetown PE, Canada"}],"AuthorsHtml":"Stryhn H, Elghafghuf A, Christensen J","AffiliationsHtml":"
1Atlantic Veterinary College, Charlottetown PE, Canada
"}],"DisplayName":"Henrik Stryhn","TimeDisplay":null},{"ContactId":"6f8b0b8e-7074-49e4-b386-b2afef82e3e8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Joao","LastName":"Sucena Afonso","Position":"Analyst","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cd0cb371eae840129eb51cee3fb915a9","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"www.linkedin.com/in/jotafonso","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"www.linkedin.com/in/jotafonso","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"http://www.linkedin.com/in/jotafonso","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://www.linkedin.com/in/jotafonso","Font":"fab fa-linkedin","Color":"#007bb6"}],"Bio":null,"Presentations":[{"Title":"Importance of rules and enforcement for the AMU/AMR complex in livestock – what can we learn from institutional economics","Bio":null,"PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"af6d9681-b193-467e-8ad8-bddbc5b546de","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"1_Special Session: Opening the Social Sciences umbrella to tackle AMR: lessons from human and animal health (ISESSAH)","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[],"Authors":[{"PresentationId":"02190e2f-3198-42a6-86c9-2bf7b9e5faa6","Title":"Mr.","FirstName":"Joao","LastName":"Sucena Afonso","Position":"Analyst","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Sucena Afonso J"}],"Affiliations":[],"AuthorsHtml":"Sucena Afonso J","AffiliationsHtml":""},{"Title":"Assessing attributable impact – estimating the impact of hoof health in British dairy cattle on milk yield","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"000e7006-a4de-44ac-9754-75b14228ffca","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.A - Production diseases","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Html":null,"PlainText":"Objectives: To assess the impacts of hoof disorders on milk yield in British dairy cattle at farm-level.

Materials and Methods: High-quality animal-level data describing daily production and health status were acquired by convenience-sampling of eleven farms across Great Britain. The data included equally-spaced temporal repeated-measures for cows. Reduction in daily milk-yield associated with incidence of hoof-disorders was determined by comparison of diseased and disease-free cows. A mixed multivariate linear regression model with restricted maximum-likelihood method and a first order autoregressive correlation matrix was developed in R, with statistical significance determined by P<0.05. The effect of disease severity was evaluated by subsetting the study population to those requiring one or more days of treatment. The temporal impact of hoof-lesion on milk-yield using the moment of the clinical diagnosis as the reference was also investigated through an event study, in which the milk yield of cows before and after disease recognition was assessed.

Results: Our model predicted an average daily milk-loss of 1.474kg (95% CI:-1.834,-1.114) when suffering from a hoof disorder. The impact was more pronounced with more severe disease resulting in a daily reduction of 2.036 kg (95% CI: -2.480, -1.592). Disease severity was particularly important when looking at specific hoof lesions. The impact of hoof disorders on milk yield could be identified using a statistical-association for two weeks before and after clinical diagnosis.

Conclusions: These findings highlight the importance of early detecting hoof health problems to help reduce the impact of these health conditions in dairy farms, particularly by preventing cases of higher severity. It also unveils the usefulness of monitoring production traits such as milk yield as screening tool for flagging animals that are potentially underperforming, triggering clinical investigation and avoiding unnecessary losses and animal suffering.

Key words: hoof health, impact, costs, dairy, cattle, British","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Title":"Mr.","FirstName":"Joao","LastName":"Sucena Afonso","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sucena Afonso J"},{"PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Title":"Dr.","FirstName":"Sara","LastName":"Mitchell","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Mitchell S"},{"PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Title":"Mr","FirstName":"Roel","LastName":"Driesen","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Driesen R"},{"PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Title":"Mr","FirstName":"Jon","LastName":"Reader","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Reader J"},{"PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Title":"Dr","FirstName":"Vivi","LastName":"Thorup","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Thorup V"},{"PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Title":"Ms","FirstName":"Almudena","LastName":"Argüello","Position":null,"Affiliations":"6","IsPresenting":false,"SortOrder":6,"DisplayName":"Argüello A"},{"PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Title":"Professor","FirstName":"George","LastName":"Oikonomou","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Oikonomou G"},{"PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Title":"Mr.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Rushton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Number":1,"Affiliation":"University Of Liverpool","City":"Liverpool","State":"Liverpool","Country":"United Kingdom","AffiliationDisplay":"University Of Liverpool, Liverpool Liverpool, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Number":2,"Affiliation":"Department of Business and Economics, University of Southern Denmark","City":"Odense","State":null,"Country":"Denmark ","AffiliationDisplay":"Department of Business and Economics, University of Southern Denmark, Odense, Denmark "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Number":3,"Affiliation":"Shropshire Farm Vets","City":"Shropshire","State":null,"Country":"United Kingdom","AffiliationDisplay":"Shropshire Farm Vets, Shropshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Number":4,"Affiliation":"ynergy Farm Health","City":"Dorset","State":null,"Country":"United Kingdom","AffiliationDisplay":"ynergy Farm Health, Dorset, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Number":5,"Affiliation":"Department of Animal Science, Aarhus University","City":"Tjele","State":null,"Country":"Denmark","AffiliationDisplay":"Department of Animal Science, Aarhus University, Tjele, Denmark"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6536b84-95f1-4f73-b2bb-46331913a96f","Number":6,"Affiliation":"Uniform-Agri","City":"Assen","State":null,"Country":"The Netherlands ","AffiliationDisplay":"Uniform-Agri, Assen, The Netherlands "}],"AuthorsHtml":"Sucena Afonso J1, Mitchell S2, Driesen R3, Reader J4, Thorup V5, Argüello A6, Oikonomou G1, Rushton J1","AffiliationsHtml":"
1University Of Liverpool, Liverpool Liverpool, United Kingdom
2Department of Business and Economics, University of Southern Denmark, Odense, Denmark
3Shropshire Farm Vets, Shropshire, United Kingdom
4ynergy Farm Health, Dorset, United Kingdom
5Department of Animal Science, Aarhus University, Tjele, Denmark
6Uniform-Agri, Assen, The Netherlands
"},{"Title":"Setting the Boundaries: Estimating the Animal Health Loss Envelope for the English and Welsh Dairy Sectors","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"b99dfb54-2e63-4f11-8b1c-712e6378483d","Html":null,"PlainText":"Objectives: The aim was to estimate the production gap – difference between the current performance from its perceived potential – and health expenditure for the English and Welsh dairy sectors, designated as the Animal Health Loss Envelope (AHLE) with the intent to:
•\testablish boundaries to losses and expenditure from all-causes (so that the sum of the economic impact from the different single sources does not exceed the economic impact from all-causes), and
•\tprovide a framework for the appraisal of the contribution of single-cause sources to the system’s inefficiencies aiding animal health and welfare governance at different levels.

Materials and Methods: The AHLE was estimated by comparing current dairy herd economic performance against a ‘utopian’ population. A deterministic farm enterprise budget model was created in Microsoft Excel. Agriculture and Horticulture Development Board data informed the model. Three production systems were considered: all-year-round calving, spring-calving and autumn-calving. Each have tertile-based performance levels (top, middle, bottom) from which distinct “Utopias” were created by increasing the proportion of animals in higher performance levels, and reducing mortality and veterinary costs to zero. A sensitivity analysis was conducted to assess the impact of milk price and economies of scale.

Results: The AHLE for the English and Welsh dairy-sectors was estimated at £318,112,460; £551,826,235, and £628,956,489 for Utopias 1, 2 and 3, respectively. Inefficiencies from all health and non-health-related causes in these dairy systems ranged from £318 million to £629 million. The sensitivity analysis indicated that the model was sensible to milk price and to the effect of economies of scale.

Conclusions: This loss assessment process describes an analytical framework providing the grounds for better understanding of the relative contribution of each different source to the system’s inefficiencies, aiding decision-making on animal health management.

Key words: Animal Health Loss Envelope, Dairy, Cattle, UK, Inefficiency, Losses ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b99dfb54-2e63-4f11-8b1c-712e6378483d","Title":"Mr.","FirstName":"Joao","LastName":"Sucena Afonso","Position":"Analyst","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sucena Afonso J"},{"PresentationId":"b99dfb54-2e63-4f11-8b1c-712e6378483d","Title":"Dr.","FirstName":"Alexandra","LastName":"Shaw","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Shaw A"},{"PresentationId":"b99dfb54-2e63-4f11-8b1c-712e6378483d","Title":"Dr","FirstName":"William","LastName":"Gilbert","Position":"Postdoctoral Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Gilbert W"},{"PresentationId":"b99dfb54-2e63-4f11-8b1c-712e6378483d","Title":"Prof.","FirstName":"Jonathan","LastName":"Rushton","Position":"Director","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Rushton J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b99dfb54-2e63-4f11-8b1c-712e6378483d","Number":1,"Affiliation":"Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University Of Liverpool","City":"Liverpool","State":"Liverpool","Country":"United Kingdom","AffiliationDisplay":"Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University Of Liverpool, Liverpool Liverpool, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b99dfb54-2e63-4f11-8b1c-712e6378483d","Number":2,"Affiliation":"APM Consultants","City":"Andover","State":null,"Country":"United Kingdom","AffiliationDisplay":"APM Consultants, Andover, United Kingdom"}],"AuthorsHtml":"Sucena Afonso J1, Shaw A2, Gilbert W1, Rushton J1","AffiliationsHtml":"
1Department of Livestock and One Health, Institute of Infection, Veterinary & Ecological Sciences, University Of Liverpool, Liverpool Liverpool, United Kingdom
2APM Consultants, Andover, United Kingdom
"}],"DisplayName":"Joao Sucena Afonso","TimeDisplay":null},{"ContactId":"44da1c5f-5a06-44ce-8479-6ecc50b2e9b3","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Keith","LastName":"Sumption","Position":"","Organization":"Food and Agriculture Organization","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a155bbc5142548a9ac464403cba76310","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Mr Keith Sumption, Chief Veterinary Officer of the Food and Agriculture Organization of the United Nations (CVO-FAO) , Leader of the Animal Health Programme (NSAH), and Director of the Joint Centre for Zoonoses and antimicrobial resistance (AMR) (CJWZ).

He has worked on disease ecology at the interaction of wildlife, domestic and the environment for more than 30 years, from initial studies on how disease can affect ecosystem balances (for his first degree in Ecology) , through PhD studies on African Swine Fever in wild and domestic hosts in southern Africa, and more than 17 years of management of epizootic diseases (Foot-and-mouth disease, FMD) in the wildlife –domestic interface as Secretary for the European Commission for the Control of Foot-and-Mouth Disease (EuFMD) Commission based in FAO. Since June 2020 he has been CVO for FAO, and since July, the Director of FAO’s Centre for Zoonoses and AMR (CJWZ) , and leader of FAO’s animal health service.

","Presentations":[{"Title":"Global Control of Transboundary Animal Diseases - Successes, Challenges and how Modelling can Help","Bio":"Mr Keith Sumption, Chief Veterinary Officer of the Food and Agriculture Organization of the United Nations (CVO-FAO) , Leader of the Animal Health Programme (NSAH), and Director of the Joint Centre for Zoonoses and antimicrobial resistance (AMR) (CJWZ). \r\n\r\nHe has worked on disease ecology at the interaction of wildlife, domestic and the environment for more than 30 years, from initial studies on how disease can affect ecosystem balances (for his first degree in Ecology) , through PhD studies on African Swine Fever in wild and domestic hosts in southern Africa, and more than 17 years of management of epizootic diseases (Foot-and-mouth disease, FMD) in the wildlife –domestic interface as Secretary for the European Commission for the Control of Foot-and-Mouth Disease (EuFMD) Commission based in FAO. Since June 2020 he has been CVO for FAO, and since July, the Director of FAO’s Centre for Zoonoses and AMR (CJWZ) , and leader of FAO’s animal health service.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"3c6a5399-9575-44e3-b9b2-a2a51e8561a1","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"9_Special Session Part 1: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"00f91cd4-422f-4352-a43c-67836c89a637","Html":null,"PlainText":"The increasing demand for animal source foods has made the livestock sector one of the fastest growing sectors, especially in low- and middle-income countries. The livestock sector also contributes to the livelihoods of more than one billion people, with most livestock keepers being small-scale livestock producers, often women, and pastoralists.

Development of the livestock sector is constantly threatened by the burden of endemic, emerging and transboundary diseases, including zoonotic diseases. The continuing threats of foot and mouth disease (FMD), Peste des Petits Ruminants (PPR) and highly pathogenic avian influenza (HPAI), the global spread of African swine fever (ASF), which are the global priority transboundary animal diseases (TADS) under the FAO and OIE Global Framework for Progressive Control of TADS (GF-TADs) are some of the disease concerns challenging national veterinary services. The effects of the COVID-19 pandemic have highlighted the complex economic, social, and environmental determinants of both animal and public health.

As a way of performing ‘experiments’ that cannot be carried out in real life, models can help to better understand these complex systems and mitigate disease risks more effectively. Indeed, increasingly sophisticated epidemiological and economic models have been used extensively in high income countries to prepare for incursions of diseases such as FMD, HPAI and, more recently, ASF through risk assessment and exploring the effectiveness of alternative control strategies. While the use of models for real-time decision support in livestock epidemics has been controversial, models have informed difficult decisions related to the COVID-19 response in some countries, especially regarding critical resource availability scenarios under differing control policies. There is a critical need for further development and application of models as decision support tools for low- and middle-income country settings, to explore and inform policy development in the context of endemicity or imminent threat of the major TADS.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"00f91cd4-422f-4352-a43c-67836c89a637","Title":"Dr.","FirstName":"Keith","LastName":"Sumption","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sumption K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"00f91cd4-422f-4352-a43c-67836c89a637","Number":1,"Affiliation":"Food and Agriculture Organization","City":"Rome","State":"Lazio","Country":"Italy","AffiliationDisplay":"Food and Agriculture Organization, Rome Lazio, Italy"}],"AuthorsHtml":"Sumption K1","AffiliationsHtml":"
1Food and Agriculture Organization, Rome Lazio, Italy
"}],"DisplayName":"Keith Sumption","TimeDisplay":null},{"ContactId":"dbf22b18-5e2b-4023-8f53-4f63729445a0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Afaque","LastName":"Syed","Position":"","Organization":"University Of North West","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/bca0d180197649f382bf2e9e77e97b54","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"Ashcatchem","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"Ashcatchem","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"http://Ashcatchem","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://Ashcatchem","Font":"fab fa-facebook-square","Color":"#3b5998"}],"Bio":null,"Presentations":[{"Title":"Molecular Characterization and Mapping of Trichomonas Isolates from Bovine in the North West Province, Republic of South Africa","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"9404666d-fc4b-4fd8-8838-19254ba86308","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"ab180c5c-df1f-46f0-b6e5-a556a37effbe","Html":null,"PlainText":"Objectives
The objectives of the analysis were to: Isolate and identify trichomonas species based on morphological characteristics and confirm its identity by PCR methods. Furthermore, to determine the incidence of T. foetus in the Dr Segomotsi Ruth Mompati district of South Africa. Subsequently, compare the two methods of detection (rtPCR and conventional PCR) based on statistical evaluation and establish a phylogenetic relationship among the T. foetus isolates with previously existing isolates in the NCBI database.
Materials and methods
This cross-sectional study involved the positive trichomonas cultures initially isolated from sheath wash samples of bulls received at the Vryburg provincial veterinary laboratory. The genomic DNA was purified using Zymo-Research Fungal/Bacterial kit following manufacturer instructions for PCR analysis and DNA sequencing. Furthermore, frequency tables and pie charts were used to summarise the results.
Results
51 isolates were positively identified as trichomonas species and were subjected to molecular PCR methods. The real-time PCR screening of all (n=51) positively identified isolates revealed 41/51 isolates positive for T. foetus, 6 negative isolates for T. foetus, and 4 inconclusive. Further, a conventional PCR was performed utilising TFR1 and TFR2 primers to amplify the 5.8S rRNA gene and ITSRs. This revealed 12/51 positive amplifications which were then subjected to DNA sequencing and identification based on the strain most closely related in the NCBI database. The phylogenetic analysis revealed 80- 99% identity to the isolates from Namibia, Japan, Thailand, Spain and Australia and Turkey.
Conclusion
There is evidence from the analysis of this study that trichomonas infestation, particularly with T. foetus is widespread from bulls in the North-West province of South Africa and may be an important cause of economic impact on the beef industry of South Africa.
Keywords: Bovine trichomonosis, T. foetus, mapping, phylogenetic analysis","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ab180c5c-df1f-46f0-b6e5-a556a37effbe","Title":"Prof","FirstName":"Mulunda","LastName":"Mwanza","Position":"HOD","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Mwanza M"},{"PresentationId":"ab180c5c-df1f-46f0-b6e5-a556a37effbe","Title":"Mr.","FirstName":"Afaque","LastName":"Syed","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Syed A"},{"PresentationId":"ab180c5c-df1f-46f0-b6e5-a556a37effbe","Title":"Dr","FirstName":"Lubanza","LastName":"Ngoma","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Ngoma L"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab180c5c-df1f-46f0-b6e5-a556a37effbe","Number":1,"Affiliation":"University Of North West","City":"Mafikeng","State":"Northwest","Country":"South Africa","AffiliationDisplay":"University Of North West, Mafikeng Northwest, South Africa"}],"AuthorsHtml":"Mwanza M1, Syed A1, Ngoma L1","AffiliationsHtml":"
1University Of North West, Mafikeng Northwest, South Africa
"}],"DisplayName":"Afaque Syed","TimeDisplay":null},{"ContactId":"baf08575-c7cb-4c03-8106-3948792c9d4c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Abagael","LastName":"Sykes","Position":"Phd Student","Organization":"North Carolina State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Modeling African swine fever transmission in commercial pig populations in the United States","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fb4e9c00-839f-4ce3-a0c7-98491f948e9f","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.D - Epidemiology of African Swine Fever","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"0a7910ec-49ad-47d9-aac1-02a7369a8b42","Html":null,"PlainText":"As the risk of ASF introduction into the U.S. rises, a better understanding of ASF dynamics is vital. Here we incorporate industry data and a farm-level transmission model to simulate the dissemination of ASF between commercial pig populations in the U.S.
Using real farm-level population data, and animal and vehicle movement data, we developed a farm-level stochastic SEIR model for the transmission of ASF over 120 days, considering multiple transmission routes: i) animal movements; ii) local transmission; and iii) four vehicle movement types. As the U.S. is uninfected, we used historic porcine epidemic diarrhea virus (PEDV) data from the 2013 epidemic in the study region (2,294 farms) to calibrate model parameters. The model outcomes include epidemic duration, incidence of secondary infections, spatial spread and transmission route contribution.
Our calibrated model estimates the mean cumulative incidence after 30, 60 and 120 days at 5 (± 3.1), 54 (± 34.9) and 318 farms (± 68.6) respectively, with a mean daily incidence of 2.65 farms (Figure 1A). Nursery and finisher farms accounted for 33% and 47% of infections, respectively, and the average distance between two individual cases was 47.5km (± 4.3km). We demonstrated that feed and pig truck movements, and local spread account for 47% of ASF secondary infection in sow and nursery farms, and 40% of infection in finisher farms (Figure 1B).
The results highlight the impact of vehicle networks and local spread on transmission and the potential for widespread disease.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"0a7910ec-49ad-47d9-aac1-02a7369a8b42","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/fd0e7b2216944ee5b0dd9de1b6498a90","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"0a7910ec-49ad-47d9-aac1-02a7369a8b42","Title":"Miss","FirstName":"Abagael","LastName":"Sykes","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Sykes A"},{"PresentationId":"0a7910ec-49ad-47d9-aac1-02a7369a8b42","Title":"Dr ","FirstName":"Jason ","LastName":"Galvis ","Position":"Senior Postdoctoral Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Galvis J"},{"PresentationId":"0a7910ec-49ad-47d9-aac1-02a7369a8b42","Title":"Dr ","FirstName":"Nicolas C.","LastName":"Cardenas","Position":"Postdoctoral Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Cardenas N"},{"PresentationId":"0a7910ec-49ad-47d9-aac1-02a7369a8b42","Title":"Dr","FirstName":"Gustavo","LastName":"Machado","Position":"Assistant Professor","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Machado G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0a7910ec-49ad-47d9-aac1-02a7369a8b42","Number":1,"Affiliation":"Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University","City":"Raleigh","State":"NC","Country":"USA","AffiliationDisplay":"Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh NC, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0a7910ec-49ad-47d9-aac1-02a7369a8b42","Number":2,"Affiliation":"Center for Geospatial Analytics, College of Natural Resources, North Carolina State University","City":"Raleigh","State":"NC","Country":"USA","AffiliationDisplay":"Center for Geospatial Analytics, College of Natural Resources, North Carolina State University, Raleigh NC, USA"}],"AuthorsHtml":"Sykes A1, Galvis J1, Cardenas N1, Machado G1,2","AffiliationsHtml":"
1Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh NC, USA
2Center for Geospatial Analytics, College of Natural Resources, North Carolina State University, Raleigh NC, USA
"}],"DisplayName":"Abagael Sykes","TimeDisplay":null},{"ContactId":"c6f05e20-56bd-44fd-8b82-9db83f6d7c43","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Carmen","LastName":"Tamayo","Position":"Phd Student","Organization":"University of Bristol","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Prioritization of canine infectious diseases for surveillance and control programs in the UK: a stakeholder-led approach","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"eb095401-a840-4081-a6f0-61468daa5d2f","Html":null,"PlainText":"Objective
The Small Animal Veterinary Surveillance Network (SAVSNET)-Agile team is developing a nationwide framework to improve the timely detection and response to canine disease outbreaks in the UK. Many pathogens cause disease in dogs, however, meaningful surveillance in small companion animals is often only possible on the most impactful diseases. Thus, we use a stakeholder-led approach to identify canine infectious diseases that are of the highest relevance in the epidemiological context of the UK, and therefore, should be prioritized in such an epidemic response framework.

Materials and Methods
Participants were identified through a stakeholder analysis, and they were sent an online survey to generate initial lists of endemic diseases, exotic diseases, and syndromes of concern. A multicriteria decision analysis was undertaken to establish and weight epidemiological criteria for evaluating diseases from the initial lists. An ad-hoc Delphi technique was then applied to score these diseases against the identified criteria and achieve a consensus on the final lists of prioritized diseases.

Results
Twenty-two stakeholders, including veterinary practitioners, policy makers and academics, participated. Nine and ten weighted criteria were established to evaluate endemic and exotic diseases, respectively. The highest scoring criteria were ‘Amount of disease in population’ for endemic diseases and ‘Impact on public health’ for exotic diseases. Respiratory, gastrointestinal, and neurological diseases were identified as the top three syndromes of concern. In descending order of weighted score, leptospirosis, parvovirus, distemper, lungworm, and Alabama rot were the top five endemic diseases; and leishmaniasis, babesiosis, ehrlichiosis, dirofilariasis and canine influenza were the top five exotic diseases.

Conclusions
We describe a novel disease prioritization methodology suited to canine populations in the UK that can be easily adapted to other countries. Findings from this study are being used to inform the development of a nationwide epidemic response strategy in the UK.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"eb095401-a840-4081-a6f0-61468daa5d2f","Title":"Miss","FirstName":"Carmen","LastName":"Tamayo","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Tamayo C"},{"PresentationId":"eb095401-a840-4081-a6f0-61468daa5d2f","Title":"Dr","FirstName":"Richard","LastName":"Newton","Position":"Director of Epidemiology and Disease Surveillance, Equine Infectious Disease Surveillance (EIDS)","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Newton R"},{"PresentationId":"eb095401-a840-4081-a6f0-61468daa5d2f","Title":"Professor","FirstName":"Alan D.","LastName":"Radford","Position":"Professor in Infection Biology & Microbiomes","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Radford A"},{"PresentationId":"eb095401-a840-4081-a6f0-61468daa5d2f","Title":"Dr","FirstName":"Fernando","LastName":"Sanchez-Vizcaino","Position":"Senior lecturer in veterinary public health","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Sanchez-Vizcaino F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eb095401-a840-4081-a6f0-61468daa5d2f","Number":1,"Affiliation":"University Of Bristol","City":"Bristol","State":"Bristol","Country":"United Kingdom","AffiliationDisplay":"University Of Bristol, Bristol Bristol, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eb095401-a840-4081-a6f0-61468daa5d2f","Number":2,"Affiliation":"Cambridge University","City":"Cambridge","State":"Cambridgeshire","Country":"United Kingdom","AffiliationDisplay":"Cambridge University, Cambridge Cambridgeshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"eb095401-a840-4081-a6f0-61468daa5d2f","Number":3,"Affiliation":"University of Liverpool","City":"Liverpool","State":"Lancashire","Country":"United Kingdom","AffiliationDisplay":"University of Liverpool, Liverpool Lancashire, United Kingdom"}],"AuthorsHtml":"Tamayo C1, Newton R2, Radford A3, Sanchez-Vizcaino F1","AffiliationsHtml":"
1University Of Bristol, Bristol Bristol, United Kingdom
2Cambridge University, Cambridge Cambridgeshire, United Kingdom
3University of Liverpool, Liverpool Lancashire, United Kingdom
"},{"Title":"Setting clinically relevant thresholds for outbreak communication to companion animal clinicians- a semiquantitative approach","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"0862b0d0-27f4-4e0c-b764-b82525142b47","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.A - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ddfac97e-b77d-4375-826f-356c7d6d67c2","Html":null,"PlainText":"Objective
The Small Animal Veterinary Surveillance Network (SAVSNET) has developed mathematical models that link veterinary practice and diagnostic laboratory data to detect genuine outbreaks of canine disease in the UK. There are, however, no validated methods available to establish the clinical relevance of these outbreaks without conducting further formal investigations. In this study, we aim to determine reporting thresholds that correspond to increased case incidence considered of practical importance by companion animal clinicians and to investigate outbreak predictive values suitable for veterinarians in first-opinion practice.
Materials and Methods
An intensity sampling approach was used to recruit participants from our target audience of veterinary practitioners, according to their years of experience, practice size and whether they contributed data to SAVSNET. We conducted in-depth semi-structured interviews to define clinically relevant notification thresholds for six canine diseases that best reflected participants’ preferred balance between levels of disease incidence and predictive certainty of the detection system. Interviews were transcribed and a thematic analysis was performed using NVIVO12 qualitative data analysis software.
Results
Five interviews were completed, and preliminary findings indicated higher preferred levels of predictive certainty for endemic diseases (95-99%) than for exotic diseases (80-90%). Reporting rates were considered clinically relevant at values representing a two to four times increase in the normal expected case incidence for endemic agents like parvovirus. However, even individual cases in a practice’s catchment area would be an appropriate threshold for exotic diseases like leishmaniosis and babesiosis.
Conclusions
We propose an innovative methodology to inform the development of an outbreak notification system of canine infectious diseases by enriching statistical signals with qualitative information derived from practitioners’ opinion. We intend to implement the clinically relevant thresholds on SAVSNET’s outbreak detection system to help improve the UK’s preparedness for dealing with canine epidemics.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ddfac97e-b77d-4375-826f-356c7d6d67c2","Title":"Miss","FirstName":"Carmen","LastName":"Tamayo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Tamayo C"},{"PresentationId":"ddfac97e-b77d-4375-826f-356c7d6d67c2","Title":"Dr ","FirstName":"Richard ","LastName":"Newton","Position":"Director of Epidemiology and Disease Surveillance, Equine Infectious Disease Surveillance (EIDS)","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Newton R"},{"PresentationId":"ddfac97e-b77d-4375-826f-356c7d6d67c2","Title":"Professor","FirstName":"Alan D.","LastName":"Radford","Position":"Professor in Infection Biology & Microbiomes","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Radford A"},{"PresentationId":"ddfac97e-b77d-4375-826f-356c7d6d67c2","Title":"Dr","FirstName":"Fernando","LastName":"Sanchez-Vizcaino","Position":"Senior lecturer in veterinary public health","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Sanchez-Vizcaino F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ddfac97e-b77d-4375-826f-356c7d6d67c2","Number":1,"Affiliation":"University Of Bristol","City":"Bristol","State":"Bristol","Country":"United Kingdom","AffiliationDisplay":"University Of Bristol, Bristol Bristol, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ddfac97e-b77d-4375-826f-356c7d6d67c2","Number":2,"Affiliation":"Cambridge University","City":"Cambridge","State":"Cambridgeshire","Country":"United Kingdom","AffiliationDisplay":"Cambridge University, Cambridge Cambridgeshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ddfac97e-b77d-4375-826f-356c7d6d67c2","Number":3,"Affiliation":"University of Liverpool","City":"Liverpool","State":"Lancashire","Country":"United Kingdom","AffiliationDisplay":"University of Liverpool, Liverpool Lancashire, United Kingdom"}],"AuthorsHtml":"Tamayo C1, Newton R2, Radford A3, Sanchez-Vizcaino F1","AffiliationsHtml":"
1University Of Bristol, Bristol Bristol, United Kingdom
2Cambridge University, Cambridge Cambridgeshire, United Kingdom
3University of Liverpool, Liverpool Lancashire, United Kingdom
"}],"DisplayName":"Carmen Tamayo","TimeDisplay":null},{"ContactId":"bef5378b-4c01-448c-90bf-0fe4199284f7","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lena-Mari","LastName":"Tamminen","Position":"Researcher","Organization":"Swedish University of Agricultural Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Client views of veterinary empathy are influenced by previous experiences and perceptions","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"73285516-2681-481f-b5a8-7a82b6231c66","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"0f320845-c9cd-43f6-87e9-37319d001771","Html":null,"PlainText":"Good relations between veterinarian and owner are crucial for compliance and client satisfaction, and showing empathy has been suggested as an important factor for building good relations. However, the level of empathy experienced can depend on many factors, some that the veterinarian cannot control. In this study, the impact of client and veterinary characteristics on how owners perceive the level of empathy showed by the veterinarian is examined.
A survey using SurveyMonkey was shared on social media. After demographic questions followed by questions about earlier experiences from veterinary visits, the respondents were assigned to watch a video of a simulated clinical consultation. The videos showed the same situation with randomly varied combinations of the gender of the veterinarian, Swedish or non-Swedish accent, presentation of the treatment options and way of recommending treatment. After watching, respondents were asked, among other things, whether they saw the veterinarian as empathic.
Of 689 persons that answered the questionnaire, 352 respondents answered the question on the veterinarian’s empathy. A majority of the respondents were women (96%) between 41-65 years old (52%). The association between empathy (yes/no) and the different factors was analysed using logistic regression. Female veterinarians and veterinarians without accent were more likely to be considered empathic and previous positive or neutral experiences from veterinary visits increased the likelihood of viewing the veterinarian favourably (Figure).
The results in this study show that, in the responding group, previous experiences as well as characteristics of the veterinarian affected the perception of the clinical consultation.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"0f320845-c9cd-43f6-87e9-37319d001771","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/e375524acd474f4d9c70099545dff99a","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"0f320845-c9cd-43f6-87e9-37319d001771","Title":"Dr.","FirstName":"Lena-mari","LastName":"Tamminen","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Tamminen L"},{"PresentationId":"0f320845-c9cd-43f6-87e9-37319d001771","Title":null,"FirstName":"Morgan","LastName":"Daleryd-Sjöblom","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Daleryd-Sjöblom M"},{"PresentationId":"0f320845-c9cd-43f6-87e9-37319d001771","Title":"Dr.","FirstName":"Karin","LastName":"Alvåsen","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Alvåsen K"},{"PresentationId":"0f320845-c9cd-43f6-87e9-37319d001771","Title":"Professor","FirstName":"Susanna","LastName":"Sterneberg-Lewerin","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Sterneberg-Lewerin S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0f320845-c9cd-43f6-87e9-37319d001771","Number":1,"Affiliation":"Department of Clinical Sciences, Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0f320845-c9cd-43f6-87e9-37319d001771","Number":2,"Affiliation":"Department of Biomedical Sciences and veterinary public health, Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Biomedical Sciences and veterinary public health, Swedish University of Agricultural Sciences, Uppsala, Sweden"}],"AuthorsHtml":"Tamminen L1, Daleryd-Sjöblom M1, Alvåsen K1, Sterneberg-Lewerin S2","AffiliationsHtml":"
1Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
2Department of Biomedical Sciences and veterinary public health, Swedish University of Agricultural Sciences, Uppsala, Sweden
"}],"DisplayName":"Lena-Mari Tamminen","TimeDisplay":null},{"ContactId":"77a71c1a-c72b-448f-b504-9e997a139e63","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Dan","LastName":"Taylor","Position":"","Organization":"Epix Analytics","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Livestock Antimicrobial Use, Foodborne Antimicrobial Resistance, and the CODEX ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3e92c612-9813-45ad-825f-6027761ab0ac","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.D - Risk Assessment","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"2bdfa8d9-34a7-47cd-b74c-c9192b05ff15","Html":null,"PlainText":"Objective: The EU and the US have implemented different antimicrobial use (AMU) restriction policies in livestock. This can result in different antimicrobial resistant (AMR) foodborne risks between the two regions, potentially affecting international trade. However, the SPS Agreement requires that trade restrictions are supported by a risk assessment following Codex Guidelines. We evaluated the suitability of current data from the EU and the US to perform an exposure assessment for foodborne AMR Salmonella in beef following the Codex guidelines for AMR (Codex AMR).

Materials and Methods: We conducted a comprehensive review of Salmonella surveillance systems, livestock AMU monitoring, foodborne illness reporting, microbiological testing methods, consumption data collection and relevant government regulations for the US and EU. We then determined if each region’s data was: (1) available and (2) nationally representative to generate estimates of AMR Salmonella exposure from beef while meeting the Codex AMR requirements.

Results: Neither region’s data meets the exposure assessment requirements outlined in the Codex AMR. Data describing AMU monitoring at the animal level and beef consumption habits are partly available but not representative for either region. Additionally, EU-wide Salmonella AMR prevalence in beef products is difficult estimate due to a decentralized reporting structure. For example, in 2011, France reported five Salmonella isolates from 1,878 minced beef samples taken at the processing level but no information for minced beef produced from 2012-2019 was reported. A simplified top-down approach may be more amenable to currently available data than the mechanistic approach described in the Codex AMR.

Conclusions: The Codex AMR is currently unsuitable to assess the impact of livestock AMU restrictions on the human health risk of AMR Salmonellosis from beef, or to produce regionally comparable AMR risk estimates from two major economic regions. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2bdfa8d9-34a7-47cd-b74c-c9192b05ff15","Title":"Dr.","FirstName":"Dan","LastName":"Taylor","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Taylor D"},{"PresentationId":"2bdfa8d9-34a7-47cd-b74c-c9192b05ff15","Title":"Dr. ","FirstName":"Gavin ","LastName":"Fenske","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Fenske G"},{"PresentationId":"2bdfa8d9-34a7-47cd-b74c-c9192b05ff15","Title":"Dr. ","FirstName":"Jane","LastName":"Pouzou","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Pouzou J"},{"PresentationId":"2bdfa8d9-34a7-47cd-b74c-c9192b05ff15","Title":"Dr. ","FirstName":"Solenne","LastName":"Costard","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Costard S"},{"PresentationId":"2bdfa8d9-34a7-47cd-b74c-c9192b05ff15","Title":"Dr. ","FirstName":"Francisco","LastName":"Zagmutt","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Zagmutt F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2bdfa8d9-34a7-47cd-b74c-c9192b05ff15","Number":1,"Affiliation":"Epix Analytics","City":"Fort Collins","State":"CO","Country":"USA","AffiliationDisplay":"Epix Analytics, Fort Collins CO, USA"}],"AuthorsHtml":"Taylor D1, Fenske G1, Pouzou J1, Costard S1, Zagmutt F1","AffiliationsHtml":"
1Epix Analytics, Fort Collins CO, USA
"}],"DisplayName":"Dan Taylor","TimeDisplay":null},{"ContactId":"ddcc3ca5-81d3-4f77-bf8a-6a1258e66622","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gianluca Ciro","LastName":"Telera","Position":"Researcher","Organization":"Istituto Zooprofilattico Sperimentale Abruzzo E Molise G.Caporale","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"T-Racing: a modern tool for supporting epidemiological investigation in animal disease outbreaks","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"656c86b3-a729-4d2e-b7be-786b63e48b62","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.E - Surveillance and Monitoring","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Html":null,"PlainText":"
A user-friendly web application (T-Racing) was developed in an R environment to support epidemiological investigations through interacting maps, graphs, and tables.

The application relies on Temporal Network Analysis techniques and accounts for the dynamic nature of animal trade, to perform a quick and efficient back and forward tracing activity. T-Racing makes use of web services to retrieve data from databases, through the plumber package, and has been distributed using Shinyproxy.

Movement data underlying the tracing pattern can be explored according to time frame, animal species, movement to slaughterhouses, and movements in and out from the selected farm. The forward/backward search can be performed from one or more farms, selected among those which had moved animals or had been notified as disease outbreak within a selected time frame and spatial buffer. Considering that search result may often involve thousands of farms/movements (which would not be possible to visualize or used, when many), the T-Racing application is able to provide tools that may interactively and iteratively handle huge networks. Users can add or remove links/nodes according to epidemiological information and/or spatial location, node's property, network deepness, to get the most relevant results, including paths among outbreaks caused by genetically similar pathogens. Moreover, the result can be restricted to paths followed by single identified animals linked to the seeds.

This tool may strongly support animal disease control measures, since it can rapidly organize essential contact information from large datasets, and identify connections in a multi-area outbreak investigation thus supporting epidemiological investigation.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f64ffedec598442589a6ee2b1b98d014","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Title":"Dr.","FirstName":"Luca","LastName":"Candeloro","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Candeloro L"},{"PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Title":"Dr.","FirstName":"Lara","LastName":"Savini","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Savini L"},{"PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Title":"Dr.","FirstName":"Annamaria","LastName":"Conte","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Conte A"},{"PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Title":"Dr.","FirstName":"Paolo","LastName":"Calistri","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Calistri P"},{"PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Title":"Dr.","FirstName":"Margherita","LastName":"Perilli","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Perilli M"},{"PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Title":"Dr.","FirstName":"Gianluca Ciro","LastName":"Telera","Position":"Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Telera G"},{"PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Title":"Dr.","FirstName":"Fabrizio","LastName":"De Massis","Position":"-","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"De Massis F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fed0cc10-65c9-4d52-a8fa-b2cff3d48716","Number":1,"Affiliation":"Istituto Zooprofilattico Sperimentale Abruzzo E Molise G.caporale, Teramo, Italy","City":"Pescara","State":"Italy","Country":"Italy","AffiliationDisplay":"Istituto Zooprofilattico Sperimentale Abruzzo E Molise G.caporale, Teramo, Italy, Pescara Italy, Italy"}],"AuthorsHtml":"Candeloro L1, Savini L1, Conte A1, Calistri P1, Perilli M1, Telera G1, De Massis F1","AffiliationsHtml":"
1Istituto Zooprofilattico Sperimentale Abruzzo E Molise G.caporale, Teramo, Italy, Pescara Italy, Italy
"},{"Title":"A Survey to Assess Food Safety Knowledge and Habits among Selected Categories of Population in Abruzzo Region (Italy)","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"86c8abfe-3a9d-40af-8c9d-e39ca962460e","Html":null,"PlainText":"This study evaluates knowledge about food safety background and eating habits of high school students, teachers and parents in Chieti and Pescara Provinces of Abruzzo Region (Italy).

From March to June 2021, we conducted an online survey structured in sections including knowledge about food safety, food storage modalities, habits in food handling, with attention to Salmonella spp. associated risks.

Students represented the 60.5% of respondents (290), followed by teachers (27.1%) and parents (12.4%). Female (76.6%) living in large urban centers was the most represented category. Risk perception associated with microorganism in food is variable among categories. Students (71.7%) indicated microorganisms as a food risk, while environmental pollutants were the greatest problem for the 20.2% of participants. Among teachers, results showed that only the 38.0% considered microorganisms as a food associated risk. Regarding food handling and with attention to Salmonella spp., an interesting result was obtained when we asked if chicken should be washed before cooking. Only a little percentage of participants (14.1%) was conscious that it is an avoiding practice due to the high risk of cross-contamination of cooking surfaces with bacteria as Salmonella spp. About habits and behaviors, parents and teachers declared to prepare food by themselves in the 70.3% of cases. This percentage was lower among students (47.7%). An adequate knowledge about cooking practices was showed by 84.0% of participants. Participants who declared to eat out only once in a month were 45.8%. Meals prepared in a restaurant were retained less safe than home-cooked ones in the 33.4% of cases.

We highlighted lack of knowledge in food safety relating to particular aspects as food handling and storage. On the basis of these results we will be able to improve food education programs using social media and adapting educative strategies to the background of learners.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"86c8abfe-3a9d-40af-8c9d-e39ca962460e","Title":"Dr.","FirstName":"Margherita","LastName":"Perilli","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Perilli M"},{"PresentationId":"86c8abfe-3a9d-40af-8c9d-e39ca962460e","Title":"Dr.","FirstName":"Gianluca Ciro","LastName":"Telera","Position":"Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Telera G"},{"PresentationId":"86c8abfe-3a9d-40af-8c9d-e39ca962460e","Title":"Dr.","FirstName":"Noemi","LastName":"Cortazzi","Position":"-","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Cortazzi N"},{"PresentationId":"86c8abfe-3a9d-40af-8c9d-e39ca962460e","Title":"Dr.","FirstName":"Francesca","LastName":"Marotta","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Marotta F"},{"PresentationId":"86c8abfe-3a9d-40af-8c9d-e39ca962460e","Title":"Dr.","FirstName":"Luigi","LastName":"Iannetti","Position":"-","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Iannetti L"},{"PresentationId":"86c8abfe-3a9d-40af-8c9d-e39ca962460e","Title":"Dr.","FirstName":"Fabrizio","LastName":"Massi","Position":"Dr","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Massi F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"86c8abfe-3a9d-40af-8c9d-e39ca962460e","Number":1,"Affiliation":" Istituto Zooprofilattico Sperimentale Abruzzo E Molise G.Caporale","City":"Pescara","State":"Italy","Country":"Italy","AffiliationDisplay":" Istituto Zooprofilattico Sperimentale Abruzzo E Molise G.Caporale, Pescara Italy, Italy"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"86c8abfe-3a9d-40af-8c9d-e39ca962460e","Number":2,"Affiliation":"Università Di Milano","City":"Milano","State":"Italy","Country":"Italy","AffiliationDisplay":"Università Di Milano, Milano Italy, Italy"}],"AuthorsHtml":"Perilli M1, Telera G1, Cortazzi N2, Marotta F1, Iannetti L1, Massi F1","AffiliationsHtml":"
1 Istituto Zooprofilattico Sperimentale Abruzzo E Molise G.Caporale, Pescara Italy, Italy
2Università Di Milano, Milano Italy, Italy
"}],"DisplayName":"Gianluca Ciro Telera","TimeDisplay":null},{"ContactId":"a3278513-49fc-42b0-8de1-f6a13b38043d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kendy Tzu-yun","LastName":"Teng","Position":"Assistant Professor","Organization":"National Chung Hsing University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2486a0d00b304268ac2c88587200d61f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"First life tables for companion dogs and common breeds in the United Kingdom","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0cb57a4-e82b-4ad8-8753-62079f423f47","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"57bae249-f98d-4163-8bf5-eb8e297497f7","Html":null,"PlainText":"Objective
A life table is a tabulated expression of life expectancy and probability of death at different age groups of a given population. This study aimed to develop first life tables for the general UK companion dog population and also by sex and common breeds.

Materials and methods
The analysis included 30,563 dogs in the VetCompass Programme with electronic patient records showing evidence of a confirmed death at any date from January 1st 2016 to July 31st 2020. Cohort life tables were constructed by calculating seven parameters, including annual mortality risk and annual life expectancy. The 95% confidence interval (CI) for annual life expectancy was generated using empirical bootstrapping with 10,000 iterations.

Results
The overall life expectancy at age 0 was 11.23 (95% CI: 11.19−11.27) years. The annual mortality risk increased with age with an exception of year intervals 1−2 (0.017) to 2−3 (0.016). Female dogs (11.41 years; 95% CI: 11.35−11.47) had a greater life expectancy than males (11.07 years; 95% CI: 11.01−11.13) at age 0. Life tables varied widely between breeds. Among common breeds, Jack Russell Terrier (12.72 years; 95% CI: 12.53−12.90) had the longest and French Bulldog (4.53 years; 95% CI: 4.14−5.01) had the shortest life expectancy at age 0. Breeds including American Bulldog, Chihuahua, English Bulldog, French Bulldog, Husky and Pug had a higher mortality risk before reaching adulthood than the overall dogs.

Conclusion
Life tables generated by the current study confirm substantial breed-related variation in longevity, offer novel insights and applications to improve canine health and welfare, and promote the understanding of life expectancy in the veterinary profession and pet owners.

Keywords: VetCompass, life expectancy, mortality, lifespan, primary-care
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"57bae249-f98d-4163-8bf5-eb8e297497f7","Title":"Dr.","FirstName":"Kendy Tzu-yun","LastName":"Teng","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Teng K"},{"PresentationId":"57bae249-f98d-4163-8bf5-eb8e297497f7","Title":"Prof","FirstName":"Dave C","LastName":"Brodbelt","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Brodbelt D"},{"PresentationId":"57bae249-f98d-4163-8bf5-eb8e297497f7","Title":"Miss","FirstName":"Camilla","LastName":"Pegram","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Pegram C"},{"PresentationId":"57bae249-f98d-4163-8bf5-eb8e297497f7","Title":"Prof","FirstName":"David B","LastName":"Church","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Church D"},{"PresentationId":"57bae249-f98d-4163-8bf5-eb8e297497f7","Title":"Assoc Prof","FirstName":"Dan G","LastName":"O’Neill","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"O’Neill D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"57bae249-f98d-4163-8bf5-eb8e297497f7","Number":1,"Affiliation":"School of Veterinary Medicine, National Taiwan University","City":"Taipei City","State":null,"Country":"Taiwan","AffiliationDisplay":"School of Veterinary Medicine, National Taiwan University, Taipei City, Taiwan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"57bae249-f98d-4163-8bf5-eb8e297497f7","Number":2,"Affiliation":"Pathobiology and Population Sciences, The Royal Veterinary College","City":"Hawkshead Lane, North Mymms, Hatfield, Herts AL9 7TA","State":null,"Country":"United Kingdom","AffiliationDisplay":"Pathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts AL9 7TA, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"57bae249-f98d-4163-8bf5-eb8e297497f7","Number":3,"Affiliation":"Clinical Sciences and Services, The Royal Veterinary College","City":"Hawkshead Lane, North Mymms, Hatfield, Herts AL9 7TA","State":null,"Country":"United Kingdom","AffiliationDisplay":"Clinical Sciences and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts AL9 7TA, United Kingdom"}],"AuthorsHtml":"Teng K1, Brodbelt D2, Pegram C2, Church D3, O’Neill D2","AffiliationsHtml":"
1School of Veterinary Medicine, National Taiwan University, Taipei City, Taiwan
2Pathobiology and Population Sciences, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts AL9 7TA, United Kingdom
3Clinical Sciences and Services, The Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Herts AL9 7TA, United Kingdom
"}],"DisplayName":"Kendy Tzu-yun Teng","TimeDisplay":null},{"ContactId":"ba3451e5-3596-4ccc-92d1-26fe31b7b11d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Krishna","LastName":"Thakur","Position":"Assistant Professor","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f785b4632c5f406e8cee6fa29a456b7f","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Krishna Thakur is an Assistant Professor in Infectious Disease Epidemiology at the University of Prince Edward Island (UPEI) and is an emerging researcher focused on understanding the dynamics of aquatic animal diseases. He started his graduate training at Purdue University, USA as a Fulbright scholar and earned a Master's degree in Comparative Epidemiology in 2011, followed by the completion of PhD degree in Epidemiology from UPEI in 2015. He furthered his training in Aquatic Epidemiology as a Post-Doctoral Fellow and led several projects applying quantitative methods to answer questions related to health, production, the interaction between wild and farmed aquatic animals, and sustainability for a number of aquatic species, including salmon, mussel, lobster, and shrimp. He has continued working with aquatic food animals as an independent researcher which involves epidemiological investigations of diseases of aquatic animals related to shifts in the microbial community, simulation of the spread of infectious diseases in the aquatic environment, and development of algorithms for early detection of infectious shrimp diseases. He has extensive experience in collaborative transdisciplinary research involving government and aquaculture/fishery industry partners

.","Presentations":[{"Title":"Test validation of matrix-assisted laser desorption/ionization time of flight mass spectrometry for the identification of Yersinia ruckeri isolated from Atlantic salmon","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c9ea4e0b-b293-4508-954c-3299383ba99c","Html":null,"PlainText":"Objective: Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) allows rapid and reliable identification of microorganisms. This study aimed to validate the use of the MALDI-TOF MS to identify Yersinia ruckeri from salmonids aquaculture.

Materials and methods: The main spectral profile (MSP) was created using a 16S ribosomal RNA gene-sequenced Y. ruckeri isolate (n=1) from Atlantic salmon, while a total of fifteen isolates of Y. ruckeri from the Atlantic salmon (Salmo salar) (n=12), American eel (Anguilla rostrate) (n=1), and Atlantic cod (Gadus morhua) (n=2) were selected from the culture collection of the Atlantic Veterinary College, Aquatic Diagnostic Services Bacteriology Laboratory (AVC ADSBL) and were used for the validation phase of the MALDI-TOF MS.

Results: The MSP created identified all the Y. ruckeri isolates from Atlantic salmon and Atlantic cod with Real Time (RT) identification score above 2.000 but could not determine Y. ruckeri isolated from the American eel. The sensitivity of MALDI-TOF MS in identifying Y. ruckeri from these fish species was 93.3% (14 isolates were identified correctly out of 15 evaluated).

Conclusion: MALDI-TOF MS can be used to efficiently and quickly identify Y. ruckeri isolates from Atlantic salmon samples. Early detection of Y. ruckeri can assist in the management of outbreak of the enteric redmouth disease in salmonids aquaculture.

Keywords: MALDI-TOF MS, Y. ruckeri, salmonids, aquaculture, validation
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c9ea4e0b-b293-4508-954c-3299383ba99c","Title":"Mr.","FirstName":"Rasaq","LastName":"Ojasanya","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Ojasanya R"},{"PresentationId":"c9ea4e0b-b293-4508-954c-3299383ba99c","Title":"Dr.","FirstName":"Ian","LastName":"Gardner","Position":"Faculty","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Gardner I"},{"PresentationId":"c9ea4e0b-b293-4508-954c-3299383ba99c","Title":"Mr","FirstName":"Matthew","LastName":"Saab","Position":"Diagnostics","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Saab M"},{"PresentationId":"c9ea4e0b-b293-4508-954c-3299383ba99c","Title":"Mr.","FirstName":"Krishna","LastName":"Thakur","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Thakur K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c9ea4e0b-b293-4508-954c-3299383ba99c","Number":1,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University of Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University of Edward Island, Charlottetown PE, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c9ea4e0b-b293-4508-954c-3299383ba99c","Number":2,"Affiliation":"Aquatic Diagnostic Services, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Aquatic Diagnostic Services, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada"}],"AuthorsHtml":"Ojasanya R1, Gardner I1, Saab M2, Thakur K1","AffiliationsHtml":"
1Department of Health Management, Atlantic Veterinary College, University of Edward Island, Charlottetown PE, Canada
2Aquatic Diagnostic Services, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown PE, Canada
"},{"Title":"Climate change, infectious diseases, and other challenges impacting sustainable aquatic food animal production","Bio":"Krishna Thakur is an Assistant Professor in Infectious Disease Epidemiology at the University of Prince Edward Island (UPEI) and is an emerging researcher focused on understanding the dynamics of aquatic animal diseases. He started his graduate training at Purdue University, USA as a Fulbright scholar and earned a Master's degree in Comparative Epidemiology in 2011, followed by the completion of PhD degree in Epidemiology from UPEI in 2015. He furthered his training in Aquatic Epidemiology as a Post-Doctoral Fellow and led several projects applying quantitative methods to answer questions related to health, production, the interaction between wild and farmed aquatic animals, and sustainability for a number of aquatic species, including salmon, mussel, lobster, and shrimp. He has continued working with aquatic food animals as an independent researcher which involves epidemiological investigations of diseases of aquatic animals related to shifts in the microbial community, simulation of the spread of infectious diseases in the aquatic environment, and development of algorithms for early detection of infectious shrimp diseases. He has extensive experience in collaborative transdisciplinary research involving government and aquaculture/fishery industry partners\r\n\r\n.","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"84014ab9-7df8-45c4-91df-995bc0c06e09","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"7_Special Session: Aquatic Epidemiology for Sustainable Food Animal Production Progress, Opportunities and Challenges","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"f80b8f66-8bd7-40cc-8f45-65323910a86d","Html":null,"PlainText":"The global captured fishery is at an all-time low, however, the rising world population and the increase in demand for seafood have led to the rapid growth of the aquaculture industry, including net-pen-based salmon production. The aquaculture and fishing industries are challenged by changing ecosystems due to climate change as well as from an increase in the emergence, severity, and prevalence of infectious diseases in the aquatic ecosystem. The potential consequences of farming fish in the vicinity of native wild sympatric fish species is an ongoing debate and has led to the closure of some farm sites in Canada and can have ramifications for other farming regions and species in the absence of a social license. Climate change and infectious diseases are altering the population dynamics of many commercially and culturally important fisheries such as Atlantic and Pacific salmon, lobsters, etc. Many aquatic food animal diseases are associated with pronounced shifts in microbial community structures or genetic and functional changes in reservoir non-virulent progenitor variants. My talk will focus on incorporating big data along with appropriate quantitative and epidemiologic tools in describing the effects of changing ecosystem on population dynamics and infectious diseases of aquatic food animal species including lobster, salmon, and shrimp. More specifically, I will highlight some of my group’s recent work from prospective and retrospective on-farm (field) or in-silico studies to elucidate the interactions between host, pathogen(s), and environment to understand the occurrence, transmission, and risk factors associated with emerging or likely to emerging infectious diseases in salmon and shrimp aquaculture and lobster fishery.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f80b8f66-8bd7-40cc-8f45-65323910a86d","Title":"Mr.","FirstName":"Krishna","LastName":"Thakur","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Thakur K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f80b8f66-8bd7-40cc-8f45-65323910a86d","Number":1,"Affiliation":"Department of Health Management, Center for Veterinary Epidemiologic Research, University of Prince Edward Island","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Department of Health Management, Center for Veterinary Epidemiologic Research, University of Prince Edward Island, Charlottetown PE, Canada"}],"AuthorsHtml":"Thakur K1","AffiliationsHtml":"
1Department of Health Management, Center for Veterinary Epidemiologic Research, University of Prince Edward Island, Charlottetown PE, Canada
"}],"DisplayName":"Krishna Thakur","TimeDisplay":null},{"ContactId":"d3c23677-7042-469c-9c10-7c36d7d6fa48","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Beat","LastName":"Thomann","Position":"Senior Research Assistant","Organization":"University of Bern","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Economic evaluation of the control program for Staphylococcus aureus genotype B in dairy cattle in canton Ticino, Switzerland","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a2fa3544-ac54-4db4-9895-35fdcbdbadea","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"88152c12-746a-408e-a452-cdb1dfc029d7","Html":null,"PlainText":"Staphylococcus aureus genotype B (SAGB) is an important causative agent of contagious mastitis, and causes substantial economic losses in dairy cattle. The aim of this study was to assess the economic profitability of the SAGB control program implemented in 2018 in the Canton of Ticino, Switzerland. Findings from this study should serve as input for evidence-based and optimized planning for a potential nationwide control program.
Impacts on various production parameters were assessed using empirical data in multilevel mixed-effects models. A stochastic benefit-cost-analysis based on production models and gross margin analyses compared total benefits and costs over a 10-year period.
Epidemiological results showed that the control program was highly effective and that SAGB infections have been successfully eliminated from most dairy farms in Ticino. Annual farm-level financial benefits obtained by eradicating SAGB in initially positive farms were €1'297, 1'856 and 2'240 for small, medium and large farms, respectively. At the animal level, benefits ranged from €86 – 93 per cow and year. At cantonal level, SAGB infections caused median disease costs of €114'000 (90% central range: 62'000 – 152'000) per year at the initial herd-level prevalence of 35% before the start of the eradication program. The median net present value (NPV) obtained was -€827'000 (90%CR: -457'000 to -1'334'000) with a benefit-cost ratio of 0.57. Sensitivity analyses showed that outcomes were most sensitive to changes in the variables \"milk yield reduction\" and \"veterinary costs\".
Overall, these outcomes imply that from an economic point of view the SAGB control program is not profitable at the Cantonal level, despite the positive effects at the individual farm level. To establish an economically profitable nationwide program, it is essential to optimize resource allocation, for instance, by adopting a risk-based surveillance approach with adjusted sampling and control protocols to make the program more cost-effective.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"88152c12-746a-408e-a452-cdb1dfc029d7","Title":"Dr.","FirstName":"Julie","LastName":"Pont","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Pont J"},{"PresentationId":"88152c12-746a-408e-a452-cdb1dfc029d7","Title":"Prof. Dr.","FirstName":"Gertraud","LastName":"Schuepbach-Regula","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Schuepbach-Regula G"},{"PresentationId":"88152c12-746a-408e-a452-cdb1dfc029d7","Title":"Dr.","FirstName":"Michael","LastName":"Vaccani","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Vaccani M"},{"PresentationId":"88152c12-746a-408e-a452-cdb1dfc029d7","Title":"Dr.","FirstName":"Beat","LastName":"Thomann","Position":"Senior Research Assistant","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Thomann B"},{"PresentationId":"88152c12-746a-408e-a452-cdb1dfc029d7","Title":"Dr.","FirstName":"Gertraud","LastName":"Schüpbach-Regula","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Schüpbach-Regula G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"88152c12-746a-408e-a452-cdb1dfc029d7","Number":1,"Affiliation":"Veterinary Public Health Institute, University of Bern","City":"Bern","State":"BE","Country":"Switzerland","AffiliationDisplay":"Veterinary Public Health Institute, University of Bern, Bern BE, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"88152c12-746a-408e-a452-cdb1dfc029d7","Number":2,"Affiliation":"Cantonal Veterinary Office","City":"Bellinzona","State":"TI","Country":"Switzerland","AffiliationDisplay":"Cantonal Veterinary Office, Bellinzona TI, Switzerland"}],"AuthorsHtml":"Pont J1, Schuepbach-Regula G1, Vaccani M2, Thomann B1, Schüpbach-Regula G1","AffiliationsHtml":"
1Veterinary Public Health Institute, University of Bern, Bern BE, Switzerland
2Cantonal Veterinary Office, Bellinzona TI, Switzerland
"}],"DisplayName":"Beat Thomann","TimeDisplay":null},{"ContactId":"294af177-1211-4ad2-9bdd-51786fb1483c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Matthew","LastName":"Thomas","Position":"Phd Student","Organization":"School of Veterinary Medicine and Science","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Modelling the long-term effects of Claw Horn Disruption Lesions and the impact of early lesion development","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"2e5cf67a-5559-422f-9a78-2d83d80d539c","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"bfabb9c9-c918-42e2-96d1-805d0ffde515","Html":null,"PlainText":"Objective
Current literature typically only attempts to model the effect of Claw Horn Disruption Lesions (CHDLs) and their risk factors over a relatively short time period. In this study we jointly model the transition from occurrence to recovery with these risk factors over the entire productive life of cows.
Methods
In this study 57,974 cows were selected, and their claw trimming records along with other covariates was used to model the long-term effect of lesions in a cow’s lifetime. A 6-state multistate markov model was used to analyse the progression of the cow through different lesion states (Never had a lesion, first lesion present, first lesion recovered, subsequent lesion present, subsequent lesion recovered, culled). The probability of transition was calculated in addition to hazard ratios for each covariate. This combination of transitions and risk factors allows for the interpretation of the effect size of risk factors and their impact on the lesion transition process.
Results
Key results showed that the timing and severity of the first lesion development was pivotal to future lesion likelihood. Both developing lesions within the first 180 days since first calving and severe first lesions were shown to have an increased risk of developing a future lesion. Our simulations showed that cows with earlier lesions recover in 75% of the time compared to cows with later lesions. Results for long term effects of earlier lesion development revealed a decreased risk compared to those that developed lesions later.
Conclusion
Multistate modelling was useful for jointly modelling the development and resolution of CHDLs over time. Our model revealed an evolving influence of some risk factors affecting a cow’s likelihood to develop a lesion throughout their lifetime. In addition, we have shown the importance of first lesion development and quantified its effect on future lesion incidence and recovery.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bfabb9c9-c918-42e2-96d1-805d0ffde515","Title":"Mr.","FirstName":"Matthew","LastName":"Thomas","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Thomas M"},{"PresentationId":"bfabb9c9-c918-42e2-96d1-805d0ffde515","Title":"Professor","FirstName":"Martin","LastName":"Green","Position":"Professor of Cattle Health & Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Green M"},{"PresentationId":"bfabb9c9-c918-42e2-96d1-805d0ffde515","Title":"Professor","FirstName":"Theodore","LastName":"Kypraios","Position":"Professor of Statistics","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Kypraios T"},{"PresentationId":"bfabb9c9-c918-42e2-96d1-805d0ffde515","Title":"Professor","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor in Epidemiology and Precision Livestock Informatics","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Kaler J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bfabb9c9-c918-42e2-96d1-805d0ffde515","Number":1,"Affiliation":"School of Veterinary Medicine and Science, University Of Nottingham","City":"Nottingham","State":"Nottinghamshire","Country":"United Kingdom","AffiliationDisplay":"School of Veterinary Medicine and Science, University Of Nottingham, Nottingham Nottinghamshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bfabb9c9-c918-42e2-96d1-805d0ffde515","Number":2,"Affiliation":"School of Mathematical Sciences, University of Nottingham","City":"Nottingham","State":"Nottinghamshire","Country":"United Kingdom","AffiliationDisplay":"School of Mathematical Sciences, University of Nottingham, Nottingham Nottinghamshire, United Kingdom"}],"AuthorsHtml":"Thomas M1, Green M1, Kypraios T2, Kaler J1","AffiliationsHtml":"
1School of Veterinary Medicine and Science, University Of Nottingham, Nottingham Nottinghamshire, United Kingdom
2School of Mathematical Sciences, University of Nottingham, Nottingham Nottinghamshire, United Kingdom
"}],"DisplayName":"Matthew Thomas","TimeDisplay":null},{"ContactId":"165045c9-19a4-4c5e-9ea2-bd0e6d56f2b9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Alexis","LastName":"Thompson","Position":null,"Organization":"Mississippi State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Sources of variance in the results of a commercial bovine immunoglobulin G radial immunodiffusion assay","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a8914baf-35d0-4b53-9a0e-b4a8e9182c17","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.A - Epidemiologic Principles and Methods (Diagnostic Test Evaluation)","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"8f2f6f57-92f4-43a3-a16c-a82d982f5af9","Html":null,"PlainText":"IgG concentration in neonatal beef or dairy calves is quantified with radial immunodiffusion and is associated with increased pre-weaning morbidity and mortality. The study objective was to determine the source and magnitude of variance in the results of a commercial bovine IgG radial immunodiffusion assay.

Six calf sera were measured 28 times across 8 plates and 4 lots and 3 included standards with known IgG concentrations were measured 75 times across 69 plates and 5 lots to estimate the precipitin ring diameter variance. Sources of diameter variance were evaluated using variance partition coefficients for lot, plate, and repetition. Eleven methods were used to generate standard curves to convert the radial immunodiffusion precipitin ring diameter to IgG concentrations. The magnitude of variance between the standards or serum precipitin ring diameters and the calculated IgG concentrations was evaluated by Levene’s test of homogeneity of variance (α=0.1).

Lot and plate contributed minimally to the diameter variance. IgG concentrations calculated for serum samples that required dilution had unequal variance. Accurate and precise IgG concentrations came from linear and polynomial lines from aggregated standards. The equation that maximized the precision and accuracy of the calculated IgG concentrations of the standards and the precision of the calculated IgG concentrations of the serum was a linear equation from aggregated standards performed within the same day.

Serum with precipitin ring diameters greater than the highest standard lacked precision and may limit the clinical usefulness of the assay.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8f2f6f57-92f4-43a3-a16c-a82d982f5af9","Title":"Dr.","FirstName":"Alexis","LastName":"Thompson","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Thompson A"},{"PresentationId":"8f2f6f57-92f4-43a3-a16c-a82d982f5af9","Title":"Dr.","FirstName":"Robert","LastName":"Wills","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Wills R"},{"PresentationId":"8f2f6f57-92f4-43a3-a16c-a82d982f5af9","Title":"Dr.","FirstName":"David","LastName":"Smith","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Smith D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f2f6f57-92f4-43a3-a16c-a82d982f5af9","Number":1,"Affiliation":"Department of Pathobiology and Population Medicine, Mississippi State University","City":"Mississippi State","State":"MS","Country":"USA","AffiliationDisplay":"Department of Pathobiology and Population Medicine, Mississippi State University, Mississippi State MS, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8f2f6f57-92f4-43a3-a16c-a82d982f5af9","Number":2,"Affiliation":"Department of Comparative Biomedical Sciences, Mississippi State University","City":"Mississippi State","State":"MS","Country":"USA","AffiliationDisplay":"Department of Comparative Biomedical Sciences, Mississippi State University, Mississippi State MS, USA"}],"AuthorsHtml":"Thompson A1, Wills R2, Smith D1","AffiliationsHtml":"
1Department of Pathobiology and Population Medicine, Mississippi State University, Mississippi State MS, USA
2Department of Comparative Biomedical Sciences, Mississippi State University, Mississippi State MS, USA
"}],"DisplayName":"Alexis Thompson","TimeDisplay":null},{"ContactId":"f57c5cb3-dbe9-41cb-ab91-03131b63342d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jada","LastName":"Thompson","Position":null,"Organization":"University of Arkansas","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/43ff72502954404897139229a7730d5a","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Global Production Efficiently Impacts of Emerging Zoonotic Disease","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c3da4b58-e0d3-444a-9da4-234629371ecf","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.A - Capacity building in national veterinary service","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"b4c5c4ba-71a0-4498-a37c-8f7bc8753d91","Html":null,"PlainText":"OBJECTIVE
Emerging and reemerging diseases have causes substantial costs globally. These effects range from impacts on trade and consumption to production and animal morbidity and mortality. This analysis aims to understand the impact of transboundary and zoonotic diseases on agricultural production efficiency as it relates to disease events over time while accounting for the relative economic situation of the effected country.
MATERIALS AND METHODS
A dataset is created from production indicators, climate factors, input use, and consumption data by the FAO and OECD, and is coupled with reportable animal diseases in the World Animal Health Information System (WAHIS) through the World Organization for Animal Health (OIE). Using indicators for times of known zoonotic diseases, a comparison of production changes is calculated using regression analysis. These results are compared across countries accounting for economic indicators such as gross domestic product (GDP) per capita.
RESULTS
Preliminary results indicate heterogenous effects across countries as a result of the emergence of zoonotic and transboundary diseases. These effects vary over time and by country income level (low, middle, or high income), where introduction of a zoonotic disease disproportionately effect low-income countries. These results may be explained by differences in access to healthcare for both humans and animals, cost of preventative control measures, or the integrated production systems.
CONCLUSION
Transboundary and zoonotic diseases are likely to continue to emerge with climate change and increased globalization. This study shows that these effects differ by country income level and over time. Understanding the losses in productivity resulting from a disease helps to provide the necessary context for investments in globabl animal producers. To protect global animal health, investments in low- and middle-income countries can help to bolster frontline biosecurity, encourage reporting, and aid in response.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"b4c5c4ba-71a0-4498-a37c-8f7bc8753d91","Title":"Dr.","FirstName":"Jada","LastName":"Thompson","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Thompson J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"b4c5c4ba-71a0-4498-a37c-8f7bc8753d91","Number":1,"Affiliation":"University of Arkansas","City":"Fayetteville","State":"AR","Country":"USA","AffiliationDisplay":"University of Arkansas, Fayetteville AR, USA"}],"AuthorsHtml":"Thompson J1","AffiliationsHtml":"
1University of Arkansas, Fayetteville AR, USA
"}],"DisplayName":"Jada Thompson","TimeDisplay":null},{"ContactId":"139d7975-7247-48ac-99d0-52d130d75353","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jake","LastName":"Thompson","Position":"","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Sustainability of dairy cow housing: how living space effects production, fertility and behaviour","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"791f6711-f679-4a3f-a672-0c7df75e4923","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Html":null,"PlainText":"Objective
The study aim was to quantify the effect of an increased living space allowance on the production, reproduction and behaviour of adult dairy cows.
Method
A 12-month randomised controlled trial was undertaken in a unique, purpose-built facility, which allowed internal layout reconfiguration. All elements of the trial were conducted under license, in accordance with government regulations.
Adult Holstein dairy cows (n = 150) were randomly allocated to a ‘high’ living space group (living space = 6.5m², total space = 14m²) or ‘commercial average’ living space group (living space = 3m², total space = 9m²); all other aspects of the housed infrastructure (e.g. feed-face length, lying areas) were identical between groups.
Production data (daily milk volume, rumination and bodyweights) were recorded automatically from Lely Astronaut A4 milking robots. Reproductive data collected were conception, service, milk progesterone and anti-Mullerian hormone. Behaviour data was collected every 7s using geolocation sensors (Omnisense).
All data analyses were undertaken in r statistical software, including survival analysis, mixed-effects-modelling, non-linear regression and bootstrapping methods.
Results
Compared to cows in the commercial average space group, cows with increased space, produced more milk per 305 day lactation (first parity cows; 12235L vs 11592L, P<0.01, parity >1 cows 14746L vs 14644L, P<0.01) but took longer to conceive (135d vs 101d, P<0.05). Cows with less living space spent less time in lying (64 minutes/d) and feeding (10 minutes/d) areas, and more in passageways (67 mins/d).
Conclusions
This is the first long term study in dairy cows to demonstrate that increased living space results in meaningful benefits in terms of productivity and welfare. It is likely that additional living space will be of benefit to adult dairy cows but further research is required into generalisability and cost-effectiveness of providing increased space to ensure it’s sustainable.
Keywords:
Dairy cow, Housing, Production, Welfare, RCT","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Title":"Dr.","FirstName":"Jake","LastName":"Thompson","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Thompson J"},{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Title":"Dr","FirstName":"Christopher","LastName":"Hudson","Position":"Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Hudson C"},{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Title":"Prof","FirstName":"Jon","LastName":"Huxley","Position":"Professor and Head of School of Veterinary Science","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Huxley J"},{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Title":"Dr","FirstName":"Robert","LastName":"Robinson","Position":"Assistant Professor SVMS","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Robinson R"},{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Title":"Dr","FirstName":"Kathryn","LastName":"Woad","Position":"Assistant Professor SVMS","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Woad K"},{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Title":null,"FirstName":"Nikki","LastName":"Eyre","Position":"Senior Research Technician","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Eyre N"},{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Title":"Prof","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology & Precision Livestock Informatics","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Kaler J"},{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Title":"Dr","FirstName":"Jenny","LastName":"Gibbons","Position":"Animal Health & Welfare Senior Scientist","Affiliations":"3","IsPresenting":false,"SortOrder":8,"DisplayName":"Gibbons J"},{"PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Title":"Prof","FirstName":"Martin","LastName":"Green","Position":"Professor of Cattle Health & Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Green M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Number":1,"Affiliation":"School of Veterinary Medicine and Science, University of Nottingham","City":"Loughborough","State":"Leicestershire","Country":"United Kingdom","AffiliationDisplay":"School of Veterinary Medicine and Science, University of Nottingham, Loughborough Leicestershire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Number":2,"Affiliation":"School of Veterinary Science, Massey University","City":"Palmerston North","State":null,"Country":"New Zealand","AffiliationDisplay":"School of Veterinary Science, Massey University, Palmerston North, New Zealand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"faac4799-9586-465a-a14f-5923b361cef2","Number":3,"Affiliation":"Agriculture and Horticulture Development Board (AHDB)","City":"Stoneleigh, Kenilworth","State":"Warwickshire ","Country":"United Kingdom","AffiliationDisplay":"Agriculture and Horticulture Development Board (AHDB), Stoneleigh, Kenilworth Warwickshire , United Kingdom"}],"AuthorsHtml":"Thompson J1, Hudson C1, Huxley J2, Robinson R1, Woad K1, Eyre N1, Kaler J1, Gibbons J3, Green M1","AffiliationsHtml":"
1School of Veterinary Medicine and Science, University of Nottingham, Loughborough Leicestershire, United Kingdom
2School of Veterinary Science, Massey University, Palmerston North, New Zealand
3Agriculture and Horticulture Development Board (AHDB), Stoneleigh, Kenilworth Warwickshire , United Kingdom
"}],"DisplayName":"Jake Thompson","TimeDisplay":null},{"ContactId":"0306b8ba-c70a-4a8a-bd40-41ec12fc68f0","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"James","LastName":"Thompson","Position":"","Organization":"Texas A&M University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Direct Bayesian estimation of alternative outcome probabilities in mediation modeling.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"0862b0d0-27f4-4e0c-b764-b82525142b47","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.A - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"486b45c3-c21f-466b-b6d0-e49842cb7de1","Html":null,"PlainText":"Mediation analysis was first described by Baron and Kenney and its development has required decades of evolution to reach its current credibility. Advances have resulted from methods that more thoroughly evaluate alternative outcomes. These models control for the mediating variable (M) by providing M a specific value (m). In causal modeling, estimating the effect of a causal factor (X) on an outcome (Y) at specific levels of M can be referred to as the conditional direct effect (CDE). Recently, the alternative outcome approach has been advanced to estimate the CDE including interaction and estimated using frequentist implementation. To be homologous with earlier theory, the interaction needs to be included in the model regardless of its statistical significance. The interaction contains very important causal consequences and was, recently, included in the Bayesian Structural Equation Modeling (SEM). This approach preserves the Bayesian advantages for variance estimation. In a Bayesian implementation, the variance estimates for both the total effect (TE) and CDE are available from the full posterior distributions and are considered accurate and unbiased. We believe that Bayesian (SEM) approach that includes the interaction is the state of the art for mediation modeling. However, there remains a serious limitation to overcome because there has been no progress on how to implement the Bayesian SEM approach for a highly dimensional analysis (many interacting causes). This can be resolved by considering one of the substantive differences between frequentist and Bayesian approaches. Bayesian analysis provides direct estimates for the probability of counterfactual outcomes. How to capture this Bayesian advantage to complete mediation analysis of multiple interacting factors is illustrated with an example.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"486b45c3-c21f-466b-b6d0-e49842cb7de1","Title":"Dr.","FirstName":"James","LastName":"Thompson","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Thompson J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"486b45c3-c21f-466b-b6d0-e49842cb7de1","Number":1,"Affiliation":"Texas A&M University","City":"College Station","State":"Texas","Country":"USA","AffiliationDisplay":"Texas A&M University, College Station Texas, USA"}],"AuthorsHtml":"Thompson J1","AffiliationsHtml":"
1Texas A&M University, College Station Texas, USA
"}],"DisplayName":"James Thompson","TimeDisplay":null},{"ContactId":"e8154dce-a87f-48f3-a5a0-90a873f61fb6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Rochelle","LastName":"Thompson","Position":"Msc Student - Epidemiology","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Impacts of COVID-19 on Canadian farmers' mental health","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"fdae5284-4f73-4268-a8fa-6c045cb91703","Html":null,"PlainText":"The Coronavirus Disease 2019 (COVID-19) pandemic is impacting Canadians’ mental health, and rates of mental health help-seeking have risen. Canadian farmers faced higher levels of mental distress prior to COVID-19 and are less likely to seek help; however, the mental health impacts of COVID-19 on Canadian farmers remain unexplored.

Objective: To investigate the impacts of COVID-19 on Canadian farmers’ mental health.

Materials and Methods: We conducted a national, online, cross-sectional survey of Canadian farmers (February - May 2021). The questionnaire included validated scales of generalized anxiety disorder (GAD-7), major depressive disorder (PHQ-9), alcohol use disorder (AUDIT), perceived stress (PSS), burnout (MBI), and resilience (CD-RISC), and perceived changes in these outcomes during the pandemic. Data were also collected on the impact of COVID-19 specific social and economic factors on mental health, help-seeking, and sense of community belonging through the pandemic. Descriptive statistics were summarized and Chi-square analyses were conducted to compare survey results to normative population data.

Results: 1,181 farmers participated in the survey. Preliminary analyses reveal concerning scores for the GAD-7, PHQ-9, AUDIT, PSS, and MBI, and two-thirds of participants with moderate to severe scores reported worsening symptoms and/or increased alcohol use. One-fifth of participants sought mental health support. Farmers rated the mental health impacts of all social and economic factors related to COVID-19 examined significantly (p<0.05) differently than the Canadian public. Farmers rated going outside (69%) and pets (56%) as the most positive impacts and social isolation (65%) and daily COVID-19 news (78%) as the most negative impacts on their mental health.

Conclusion: The COVID-19 pandemic has negatively impacted Canadian farmers’ mental health and in ways that differ from the general population. Specific prevalence estimates for the mental health outcomes studied and implications for policymakers, mental health professionals, and farmers will be presented.

Keywords: mental health, farmer, COVID-19, one-health
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fdae5284-4f73-4268-a8fa-6c045cb91703","Title":"Miss","FirstName":"Rochelle","LastName":"Thompson","Position":"Msc Student - Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Thompson R"},{"PresentationId":"fdae5284-4f73-4268-a8fa-6c045cb91703","Title":"Ms.","FirstName":"Briana","LastName":"Hagen","Position":"Post-doctoral Fellow","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Hagen B"},{"PresentationId":"fdae5284-4f73-4268-a8fa-6c045cb91703","Title":"Dr.","FirstName":"Basem","LastName":"Gohar","Position":"Assistant professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Gohar B"},{"PresentationId":"fdae5284-4f73-4268-a8fa-6c045cb91703","Title":"Dr.","FirstName":"Margaret","LastName":"Lumley","Position":"Professor and Director of Clinical Training, dept. of Psychology","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Lumley M"},{"PresentationId":"fdae5284-4f73-4268-a8fa-6c045cb91703","Title":"Ms.","FirstName":"Charlotte","LastName":"Winder","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Winder C"},{"PresentationId":"fdae5284-4f73-4268-a8fa-6c045cb91703","Title":"Ms.","FirstName":"Andria","LastName":"Jones-Bitton","Position":"Professor & Director Of Well-being Programming","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Jones-Bitton A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fdae5284-4f73-4268-a8fa-6c045cb91703","Number":1,"Affiliation":"Department of Population Medicine, University of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fdae5284-4f73-4268-a8fa-6c045cb91703","Number":2,"Affiliation":"Department of Psychology, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Psychology, University of Guelph, Guelph Ontario, Canada"}],"AuthorsHtml":"Thompson R1, Hagen B1, Gohar B1, Lumley M2, Winder C1, Jones-Bitton A1","AffiliationsHtml":"
1Department of Population Medicine, University of Guelph, Guelph ON, Canada
2Department of Psychology, University of Guelph, Guelph Ontario, Canada
"}],"DisplayName":"Rochelle Thompson","TimeDisplay":null},{"ContactId":"41d90934-e9e7-45cf-884f-9cd5eb564017","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Michael","LastName":"Tildesley","Position":null,"Organization":"University Of Warwick","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a341707d6d8744e08dc33bc6e16a8ea6","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Michael Tildesley is a Professor in the Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research at the University of Warwick. He completed his Ph.D. in Astrophysical Fluid Dynamics at the University of Cambridge in 2003, but has been working in the field of mathematical epidemiology since then. His research focuses upon the development of models of infectious diseases and their utility as predictive tools. He has a particular interest in the predictive power of models in the early stages of disease outbreaks, when there is significant uncertainty regarding the spread of disease.

Prof Tildesley has strong links with policy makers, working closely with the Department for the Environment, Food and Rural Affairs, the US Department of Agriculture (USDA), the World Organisation for Animal Health (OIE) and the Food and Agriculture Organisation (FAO) upon strategies for disease control.

During the COVID-19 pandemic, Prof Tildesley has been a member of the Scientific Pandemic Influenza Modelling group (SPI-M), the modelling subgroup of the Scientific Advisory Group for Emergencies in the UK, and has been working throughout the COVID-19 pandemic upon the development of models to inform a range of policy questions in the UK.","Presentations":[{"Title":"Real Time Decision Making for Livestock Disease Outbreaks","Bio":"Michael Tildesley is a Professor in the Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research at the University of Warwick. He completed his Ph.D. in Astrophysical Fluid Dynamics at the University of Cambridge in 2003, but has been working in the field of mathematical epidemiology since then. His research focuses upon the development of models of infectious diseases and their utility as predictive tools. He has a particular interest in the predictive power of models in the early stages of disease outbreaks, when there is significant uncertainty regarding the spread of disease.\r\n\r\nProf Tildesley has strong links with policy makers, working closely with the Department for the Environment, Food and Rural Affairs, the US Department of Agriculture (USDA), the World Organisation for Animal Health (OIE) and the Food and Agriculture Organisation (FAO) upon strategies for disease control.\r\n\r\nDuring the COVID-19 pandemic, Prof Tildesley has been a member of the Scientific Pandemic Influenza Modelling group (SPI-M), the modelling subgroup of the Scientific Advisory Group for Emergencies in the UK, and has been working throughout the COVID-19 pandemic upon the development of models to inform a range of policy questions in the UK.","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"a2e9d146-090f-4806-9173-28a92bbc0dfd","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"11_Special Session: Animal Disease Spread Modelling","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"6b15b7c8-fe84-4e46-9449-2845d6662eb5","Html":null,"PlainText":"Introduction

Mathematical Models are often used for infectious disease outbreaks to inform contingency planning and to advise policy makers during ongoing outbreaks. However, in emerging outbreaks, there is significant uncertainty in how a disease may spread and limited data may be available. Whilst models play a role in planning, it is important to explore what a model can do, as well as what a model can’t do. In regions where foot-and-mouth disease is actively circulating, models can be used to investigate what is driving transmission. In such settings, data are often incomplete and models can establish how resources may be targeted to rapidly collect data and reduce uncertainty in future predictions.

Methods

In this presentation, we explore the predictive power of models during outbreaks and how uncertainty affects the impact of intervention policies. We also discuss the importance of defining the objective of control – the optimal policy may be highly dependent upon what a policy maker is intending to achieve. By analysing the spatiotemporal pattern of outbreaks and livestock movements in endemic settings, we construct maps that can be used for determining future risk.

Results and Discussion

We show that during the early stages of FMD outbreaks, the uncertainty in spread results in an inability to accurately predict the impact of interventions. This uncertainty is resolved after the first 2-3 weeks of an outbreak. We show that reinforcement learning can be used to determine an optimal control policy dependent upon the current state of the outbreak. By analysing outbreak data, we show that modelling can be used to determine future risk and inform monitoring campaigns. Recording of livestock movements can have a significant effect upon predicting risk – community analysis of movement networks can enable future targeting of surveillance policies that take into account transmission risk through livestock movements.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6b15b7c8-fe84-4e46-9449-2845d6662eb5","Title":"Prof.","FirstName":"Michael","LastName":"Tildesley","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Tildesley M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6b15b7c8-fe84-4e46-9449-2845d6662eb5","Number":1,"Affiliation":"University Of Warwick","City":"Coventry","State":"West Midlands","Country":"United Kingdom","AffiliationDisplay":"University Of Warwick, Coventry West Midlands, United Kingdom"}],"AuthorsHtml":"Tildesley M1","AffiliationsHtml":"
1University Of Warwick, Coventry West Midlands, United Kingdom
"}],"DisplayName":"Michael Tildesley","TimeDisplay":null},{"ContactId":"bea2b8cc-f536-483d-8201-d1efae1c4018","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Harish","LastName":"Tiwari","Position":"Research Fellow","Organization":"The University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr (Lt Col) Harish Tiwari has a PhD from Murdoch University, Australia. A veterinary graduate from Assam Agricultural University Dr Tiwari is a veterinary epidemiologist starting his career as a field veterinarian with a dairy cooperative before being commissioned to Indian Army where he served in various position in peace and field locations for 16 years before taking voluntary retirement as a Lieutenant Colonel (Lt Col). A recipient of ICAR Junior Research Fellowship for his Masters from PAU, Ludhiana, Col Tiwari won the International Postgraduate Research Fellowship to pursue doctorate during which he developed novel approaches to dog enumeration in India and authored the thesis titled ‘Free-roaming dog population, community perception and control of dog-related rabies: the Indian story’.
Harish is a Research Fellow with Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) project that is led by University of Sydney to strengthen the veterinary workforce in Asia-Pacific for Infectious Disease Detection and Response (vet-APIDDaR). He has served as a consultant with AUSVET pty. Ltd’, whence he mostly supported Mycoplasma bovis education programme in New Zealand, besides working on FAO project. Currently, he is a Research Fellow with Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) project that is led by University of Sydney to strengthen the veterinary workforce in Asia-Pacific for Infectious Disease Detection and Response (vet-APIDDaR). He also provides freelance consultancy for OIE (World Organisation for Animal Health) and CHAI (Clinton Health Access Initiative) for various projects. Recently, Dr Tiwari has won the prestigious Wellcome Trust/DBT India Clinical & Public Health Intermediate fellowship to implement One Health approach for rabies control in India.
Harish is a passionate veterinary epidemiologist dedicated to providing evidence-based solutions to control/eradicate animal diseases. A keen observer of the veterinary (and rural) issues of developing world and realise the immense potential the farm sector harbours to improve not only economic but also social standing of farmers and their families. Improving farmers lives through improved farm practices would enable to contribute towards Sustainable Developmental Goals (SDG) as envisaged by the UN.
His areas of interest are One Health, large animals’ disease investigation, welfare, with a keen interest in production diseases. He understands the integrated approach through operational or implementation epidemiology and its scope to make positive change in the lives of people in general and lives of farmers and rural population in developing countries.


","Presentations":[{"Title":"Capacity and Needs Assessment of Veterinary Services in Vietnam in One Health, Biosecurity & Biosafety","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1ca720e2-992a-4716-89e5-0b96101f968f","Html":null,"PlainText":"Objective
To evaluate the national capacity and needs of veterinary services in Vietnam in One-Health, biosecurity, and biosafety.

Materials and methods
A cross-sectional mixed-methods study was conducted between November 2020 and April 2021. An online questionnaire was administered to government-employed field veterinarians. Descriptive analyses, followed by univariable and multivariable regression analyses were performed using survey responses to understand capacity in the field. Semi-structured interviews were conducted with stakeholders in veterinary services including government, academia, research institutes, non-profit and international organisations. Coding and thematic analysis using a deductive approach was used for data collected from interviews to contextualise findings from the survey.

Results
In total, 178 field veterinarians completed the online questionnaire and 25 stakeholders were interviewed. Up to 52% of respondents had rarely or never participated in One-Health approaches in the field and 69% reported a high priority for further training. There was a knowledge gap reported amongst district and commune-level veterinary staff about the need for, and awareness of multisectoral collaboration. Respondents that completed postgraduate qualifications in epidemiology or FETP were more likely to have higher-levels of experience in One-Health (OR: 4.2; 95% CI: 1.7, 10.5). Up to 93% of respondents reported practicing good biosecurity and biosafety measures (including use of PPE) before and after visiting farms, minimising the risk of disease introduction. Most reported receiving training in biosecurity and biosafety. Physical and socioeconomic barriers to practicing biosecurity were reported to be prevalent for smallholder farmers, which suggests a gap in the capacity of veterinary services to provide cost-effective and practical biosecurity strategies.

Conclusion
This study identifies gaps in knowledge, attitudes and adoption of practices related to One-Health, biosecurity, and biosafety, and enables us to prioritise aspects of training, policy and planning required to build national capacity of veterinary services in Vietnam.

Key words: One-Health, biosecurity, biosafety, veterinary epidemiology ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1ca720e2-992a-4716-89e5-0b96101f968f","Title":"Dr.","FirstName":"Aashima","LastName":"Auplish","Position":"Masters candidate","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Auplish A"},{"PresentationId":"1ca720e2-992a-4716-89e5-0b96101f968f","Title":"Dr","FirstName":"Thi Thu Tra","LastName":"Vu","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Vu T"},{"PresentationId":"1ca720e2-992a-4716-89e5-0b96101f968f","Title":"Dr","FirstName":"Phuc","LastName":"Pham Duc","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Pham Duc P"},{"PresentationId":"1ca720e2-992a-4716-89e5-0b96101f968f","Title":"Miss","FirstName":"Alexandra","LastName":"Green","Position":"Postdoctoral Researcher","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Green A"},{"PresentationId":"1ca720e2-992a-4716-89e5-0b96101f968f","Title":"Mr.","FirstName":"Harish","LastName":"Tiwari","Position":"Research Fellow","Affiliations":null,"IsPresenting":true,"SortOrder":5,"DisplayName":"Tiwari H"},{"PresentationId":"1ca720e2-992a-4716-89e5-0b96101f968f","Title":"Mr.","FirstName":"Mark","LastName":"Stevenson","Position":"Professor In Veterinary Epidemiology","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Stevenson M"},{"PresentationId":"1ca720e2-992a-4716-89e5-0b96101f968f","Title":"Dr.","FirstName":"Navneet","LastName":"Dhand","Position":"Associate Professor In Veterinary Biostatistics And Epidemiology","Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Dhand N"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1ca720e2-992a-4716-89e5-0b96101f968f","Number":1,"Affiliation":"Sydney School of Veterinary Science, The University of Sydney","City":"Sydney","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, The University of Sydney, Sydney NSW, Australia"}],"AuthorsHtml":"Auplish A1, Vu T, Pham Duc P, Green A, Tiwari H, Stevenson M, Dhand N","AffiliationsHtml":"
1Sydney School of Veterinary Science, The University of Sydney, Sydney NSW, Australia
"},{"Title":"\r\nField Veterinary Epidemiology in the Asia-Pacific: Gaps and training needs for infectious disease investigation\r\n","Bio":"Dr (Lt Col) Harish Tiwari has a PhD from Murdoch University, Australia. A veterinary graduate from Assam Agricultural University Dr Tiwari is a veterinary epidemiologist starting his career as a field veterinarian with a dairy cooperative before being commissioned to Indian Army where he served in various position in peace and field locations for 16 years before taking voluntary retirement as a Lieutenant Colonel (Lt Col). A recipient of ICAR Junior Research Fellowship for his Masters from PAU, Ludhiana, Col Tiwari won the International Postgraduate Research Fellowship to pursue doctorate during which he developed novel approaches to dog enumeration in India and authored the thesis titled ‘Free-roaming dog population, community perception and control of dog-related rabies: the Indian story’.\r\nHarish is a Research Fellow with Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) project that is led by University of Sydney to strengthen the veterinary workforce in Asia-Pacific for Infectious Disease Detection and Response (vet-APIDDaR). He has served as a consultant with AUSVET pty. Ltd’, whence he mostly supported Mycoplasma bovis education programme in New Zealand, besides working on FAO project. Currently, he is a Research Fellow with Asia Pacific Consortium of Veterinary Epidemiology (APCOVE) project that is led by University of Sydney to strengthen the veterinary workforce in Asia-Pacific for Infectious Disease Detection and Response (vet-APIDDaR). He also provides freelance consultancy for OIE (World Organisation for Animal Health) and CHAI (Clinton Health Access Initiative) for various projects. Recently, Dr Tiwari has won the prestigious Wellcome Trust/DBT India Clinical & Public Health Intermediate fellowship to implement One Health approach for rabies control in India.\r\nHarish is a passionate veterinary epidemiologist dedicated to providing evidence-based solutions to control/eradicate animal diseases. A keen observer of the veterinary (and rural) issues of developing world and realise the immense potential the farm sector harbours to improve not only economic but also social standing of farmers and their families. Improving farmers lives through improved farm practices would enable to contribute towards Sustainable Developmental Goals (SDG) as envisaged by the UN. \r\nHis areas of interest are One Health, large animals’ disease investigation, welfare, with a keen interest in production diseases. He understands the integrated approach through operational or implementation epidemiology and its scope to make positive change in the lives of people in general and lives of farmers and rural population in developing countries.\r\n\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"e3424a2f-bb76-4ed8-875a-a9e1c22c23b3","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"5_Special Session Part 1: Strengthening Veterinary Epidemiology and One Health Capacity","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Html":null,"PlainText":"Objective
To understand the current epidemiology capacity and to identify gaps in six countries in Asia Pacific (Cambodia, Indonesia, Laos PDR, Philippines, Timor-Leste, and Vietnam).

Materials and method
A mixed-method study design with concurrent triangulation was conducted targeting the veterinary workforce across the six countries of the region. A cross sectional survey and semi-structured key informant interviews (KII) were used to collect data regarding the current capabilities of the veterinarians, during September to December 2021 to identify gaps and the training needs. Questions focused on veterinary services, epidemiology capacity, disease control, surveillance, One Health, biosecurity, and biosafety. Logistic regression, and a deductive thematic analysis was used for quantitative and qualitative data, respectively.

Results
A total of 858 questionnaire surveys and 131 KIIs were conducted across the six focus countries. The majority (70-90%) of the respondents lacked formal epidemiology training and experience in animal disease control core competencies, although a higher proportion (80-95%) confirmed adhering to adequate biosecurity practices. Major weaknesses of the veterinary services included limited staff, an inadequate number of veterinarians trained in epidemiology, limited facilities, budgetary constraints, and disconnect between the central and community levels, indicating system-level inadequacies. All the countries of the region indicated a high priority for field epidemiology training for veterinarians.

Conclusion
The study found critical gaps in EID preparedness and highlighted training needs. We recommend strengthening field epidemiology training programs focussing on delivery of veterinary services, epidemiology capacity, disease control, surveillance, One Health, biosecurity, and biosafety for the veterinary workforce in the Asia Pacific region.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Title":"Mr.","FirstName":"Harish","LastName":"Tiwari","Position":"Research Fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Tiwari H"},{"PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Title":"Dr.","FirstName":"Aashima","LastName":"Auplish","Position":"Masters candidate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Auplish A"},{"PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Title":"Mr","FirstName":"A","LastName":"Pereira","Position":"Animal Health Epidemiology Officer","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Pereira A"},{"PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Title":"Miss","FirstName":"Alexandra","LastName":"Green","Position":"Postdoctoral Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Green A"},{"PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Title":"Dr","FirstName":"C","LastName":"Benigno","Position":"Consultant","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Benigno C"},{"PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Title":"Mr","FirstName":"C","LastName":"Bun","Position":"Veterinary Officer","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Bun C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Number":1,"Affiliation":"Asia Pacific Consortium of Veterinary Epidemiology, The University of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"Asia Pacific Consortium of Veterinary Epidemiology, The University of Sydney, Camden NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Number":2,"Affiliation":"Menzies School of Health Research (NT)","City":"Dili","State":null,"Country":"Timor-Leste","AffiliationDisplay":"Menzies School of Health Research (NT), Dili, Timor-Leste"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Number":3,"Affiliation":"Philippine College of Veterinary Epidemiologists (PCVE)","City":"Manila ","State":"Quezon City","Country":"Philippines","AffiliationDisplay":"Philippine College of Veterinary Epidemiologists (PCVE), Manila Quezon City, Philippines"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"10091718-1d82-497a-915c-5cbf61cd3698","Number":4,"Affiliation":"National Animal Health and Production Research Institute, General Directorate of Animal Health and Production","City":"Phnom Penh","State":null,"Country":"Cambodia ","AffiliationDisplay":"National Animal Health and Production Research Institute, General Directorate of Animal Health and Production, Phnom Penh, Cambodia "}],"AuthorsHtml":"Tiwari H1, Auplish A1, Pereira A2, Green A1, Benigno C3, Bun C4","AffiliationsHtml":"
1Asia Pacific Consortium of Veterinary Epidemiology, The University of Sydney, Camden NSW, Australia
2Menzies School of Health Research (NT), Dili, Timor-Leste
3Philippine College of Veterinary Epidemiologists (PCVE), Manila Quezon City, Philippines
4National Animal Health and Production Research Institute, General Directorate of Animal Health and Production, Phnom Penh, Cambodia
"}],"DisplayName":"Harish Tiwari","TimeDisplay":null},{"ContactId":"dfe6d659-2163-4b13-b089-6814a082c9e6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Ingrid","LastName":"Toftaker","Position":"Associate Professor","Organization":"Norwegian University Of Life Sciences","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Using podcasts as student active learning in epidemiology","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c9a2d06-6c43-4fa6-9125-05c81bba4053","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.D - Enhanced Veterinary Education / Evidenced-based Veterinary Medicine","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"9514a373-c0b8-40a2-bc04-352d792a41cb","Html":null,"PlainText":"Epidemiology and statistics can often be perceived as “dry” subjects by students early in their veterinary education, partly because they struggle to see the applicability and importance. The objective of this project was therefore to enhance epidemiology interest and achievement among veterinary students by integrating podcasts as a student active learning method.

The project was carried out during spring 2021 in the statistics and epidemiology course for 90 first-year veterinary students. In this course, a podcast assignment was included as an active-learning exercise carried out by cooperative groups. The teacher provided each group with a topic from epidemiology, and some bullet points to help guide the discussion. When recording the podcast, the students had to play roles: The epidemiologist, the veterinary practitioner, and the student. Most topics were to be discussed in the context of a scientific paper, thus, performing a literature search and selecting a paper was part of the exercise. Finally, all podcasts were uploaded to an online teaching platform. The project was evaluated through teacher reflection and student evaluation, performed through a questionnaire and an interview with a reference group.

All groups completed the assignment and uploaded their podcast making it available to all groups. Overall, student feedback was very good; 96% of students agreed that the podcast assignment had improved their understanding, and 82% stated that it had improved their motivation for learning, (87% response rate). Listening to the podcasts, it was clear that some groups relayed too heavily on their notes during the recorded discussion. A solution to this might be to shorten the suggested time limit, which was also suggested by a student during the evaluation.

Podcasts as a student active learning method were successfully used to enhance understanding and motivation to learn veterinary epidemiology.

Keywords: Cooperative learning, teaching and learning methods, veterinary epidemiology
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9514a373-c0b8-40a2-bc04-352d792a41cb","Title":"Dr.","FirstName":"Ingrid","LastName":"Toftaker","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Toftaker I"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9514a373-c0b8-40a2-bc04-352d792a41cb","Number":1,"Affiliation":"Norwegian University Of Life Sciences","City":"Ås","State":null,"Country":"Norway","AffiliationDisplay":"Norwegian University Of Life Sciences, Ås, Norway"}],"AuthorsHtml":"Toftaker I1","AffiliationsHtml":"
1Norwegian University Of Life Sciences, Ås, Norway
"}],"DisplayName":"Ingrid Toftaker","TimeDisplay":null},{"ContactId":"05bb49bb-b0fc-49ff-8a9a-21fade945855","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Sue","LastName":"Tongue","Position":"Senior Veterinary Epidemiologist","Organization":"Scotland's Rural College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"How would you like your burger? Findings from a survey and sequencing in the service of Scottish food safety","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"81b6468d-38a2-4f06-ba00-ba54f34eef5e","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ba437b15-959c-4099-bd6a-15abcc0412fa","Html":null,"PlainText":"Consumer behaviour is often driven by popular media and social trends, rather than meeting standards anticipated by existing food safety guidance and controls. The objectives of a microbiological survey of fresh beef mince on retail sale in Scotland during 2019 were 1) to establish the baseline prevalence of three significant food-borne pathogens 2) to use whole genome sequencing (WGS) to place survey pathogens into the context of Scottish isolates from human clinical cases and cattle, with the aim to inform risk assessment, management and communication strategies.

Mince samples, purchased using a two-stage sampling strategy accounting for population density and market share of retail outlets, were tested for Campylobacter, Salmonella, and genes indicating the possible presence of either STEC, or O157 E. coli. “Presumptive” STEC positive samples were confirmed by culture and isolation. Sequences were generated via the Scottish Microbiology Reference Laboratories’ (SMiRL) pipelines.

Of 1009 samples: one was positive for Campylobacter; three for Salmonella and 35 were confirmed as STEC positive. The prevalence estimates were similar to lower values from published studies. WGS data enabled identification of the characteristics of the Salmonella and STEC isolates - serotypes, antimicrobial resistance genes and phylogenetics compared to SMiRL databases. STEC isolates were classified by their potential to cause clinical disease. Sequencing also provided microbiological evidence of the link between seven geographically-dispersed human cases infected with the same STEC strain.

Several points of general relevance were raised: difficulties interpreting qualitative descriptive phrases applied to the same quantitative value by different communities; lack of standardisation making comparison of estimates derived from different methodologies (laboratory & study design) difficult; how the survey design could be applied in other scenarios. the relevance of sequencing to surveillance and control strategies. The findings demonstrated that regulatory controls are contributing to food safety, while confirming the importance of consumer education.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ba437b15-959c-4099-bd6a-15abcc0412fa","Title":"Dr.","FirstName":"Sue","LastName":"Tongue","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Tongue S"},{"PresentationId":"ba437b15-959c-4099-bd6a-15abcc0412fa","Title":null,"FirstName":"H","LastName":"Bishop","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Bishop H"},{"PresentationId":"ba437b15-959c-4099-bd6a-15abcc0412fa","Title":null,"FirstName":"J","LastName":"Evans","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Evans J"},{"PresentationId":"ba437b15-959c-4099-bd6a-15abcc0412fa","Title":"Dr","FirstName":"J. I. ","LastName":"Eze","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Eze J"},{"PresentationId":"ba437b15-959c-4099-bd6a-15abcc0412fa","Title":"Dr","FirstName":"R. W.","LastName":"Humphry","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Humphry R"},{"PresentationId":"ba437b15-959c-4099-bd6a-15abcc0412fa","Title":null,"FirstName":null,"LastName":"Scientific Services Laboratories","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Scientific Services Laboratories"},{"PresentationId":"ba437b15-959c-4099-bd6a-15abcc0412fa","Title":null,"FirstName":null,"LastName":"SMiRL","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"SMiRL"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ba437b15-959c-4099-bd6a-15abcc0412fa","Number":1,"Affiliation":"SRUC (Scotland's Rural College)","City":"Inverness","State":"Inverness-shire","Country":"United Kingdom","AffiliationDisplay":"SRUC (Scotland's Rural College), Inverness Inverness-shire, United Kingdom"}],"AuthorsHtml":"Tongue S1, Bishop H1, Evans J1, Eze J1, Humphry R1, Scientific Services Laboratories, SMiRL","AffiliationsHtml":"
1SRUC (Scotland's Rural College), Inverness Inverness-shire, United Kingdom
"},{"Title":"Risk factors for Antimicrobial use in British pig farms","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Html":null,"PlainText":"Antimicrobial use (AMU) contributes to the development of antimicrobial resistance, which is a major threat for human and animal Health. This work aimed to identify risk factors for AMU in British pig production.

We studied the associations between AMU in British pig farms (total AMU per farm-year (mg/kg PCU)) and on-farm welfare measurements and carcass assessments (predictors). Data comprised the years 2015-2019. The association between each individual predictor and AMU was tested. A repeated measures mixed model to predict AMU was built using the risk factors that had been identified.

Factors that were individually associated with AMU were: year, farm type, county, vet practice, herd size, and several lesions recorded at slaughter (pneumonia, pleurisy, pleuropneumonia, lung abscesses, and liver milk spots). In the model, the group of risk factors that best predicted AMU were year, farm type, and the prevalence of pneumonia (EP-like lesions) at slaughter. Nursery-to-finisher herds and breeder-to-finisher herds had higher AMU than finisher-only herds.

Managing pig age groups in different locations (multi-site pig production) seems to be associated with a protective effect in terms of AMU and should be considered, where possible. Effective strategies for control of endemic diseases on-farm, (e.g. cleaning and disinfection and vaccination) are very likely to reduce AMU on British pig farms once they have led to prevention of infection, removing the need for treatment. Controlling or eliminating Mycoplasma hyopneumoniae could have a positive effect on the farm total annual AMU. Finally, controlling post-weaning disease is key to achieving further reduction in AMU in pig farms. With weaning being a very stressful time for the pig, the key to reducing the need for antibiotics is to minimise the stress through good stockperson skills, as well as ensuring that disease is identified early.

pigs, antimicrobial use, risk factors, post-weaning diarrhoea, respiratory disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Title":"Dr.","FirstName":"Maria","LastName":"Rodrigues Da Costa","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Rodrigues Da Costa M"},{"PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Title":"Mrs.","FirstName":"Madeleine","LastName":"Henry","Position":"Veterinary epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Henry M"},{"PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Title":"Dr.","FirstName":"Roger W.","LastName":"Humphry","Position":"Applied statistician","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Humphry R"},{"PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Title":"Dr","FirstName":"Rita","LastName":"Ribeiro","Position":"Post-doctoral researcher","Affiliations":"1,2","IsPresenting":false,"SortOrder":4,"DisplayName":"Ribeiro R"},{"PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Title":null,"FirstName":"Hannah","LastName":"Bishop","Position":"veterinary epidemiologist","Affiliations":"1,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Bishop H"},{"PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Title":"Dr.","FirstName":"Sue","LastName":"Tongue","Position":"Senior Veterinary Epidemiologist","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Tongue S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Number":1,"Affiliation":"Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College (SRUC)","City":"Inverness","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College (SRUC), Inverness Scotland, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Number":2,"Affiliation":"Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow","City":"Glasgow","State":"Scotland","Country":"United Kingdom","AffiliationDisplay":"Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow Scotland, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f6138505-0a77-4779-b9bd-c4c9cbd8a505","Number":3,"Affiliation":"Veterinary Epidemiology Unit, Department of Agriculture, Environment and Rural Affairs (DAERA)","City":"Newtownards, Co. Down","State":"Northern Ireland","Country":"United Kingdom","AffiliationDisplay":"Veterinary Epidemiology Unit, Department of Agriculture, Environment and Rural Affairs (DAERA), Newtownards, Co. Down Northern Ireland, United Kingdom"}],"AuthorsHtml":"Rodrigues Da Costa M1, Henry M1, Humphry R1, Ribeiro R1,2, Bishop H1,3, Tongue S1","AffiliationsHtml":"
1Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College (SRUC), Inverness Scotland, United Kingdom
2Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow Scotland, United Kingdom
3Veterinary Epidemiology Unit, Department of Agriculture, Environment and Rural Affairs (DAERA), Newtownards, Co. Down Northern Ireland, United Kingdom
"}],"DisplayName":"Sue Tongue","TimeDisplay":null},{"ContactId":"3b93cde5-6aae-4f34-a7da-47605f50c6e9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Organization":"University of Sydney","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Jenny-Ann Toribio, Associate Professor in Epidemiology at the Sydney School of Veterinary Science, is a veterinary epidemiologist with a career commitment to innovative training in veterinary epidemiology. Jenny-Ann has developed curriculum in epidemiology and veterinary public health for BVSc, DVM and Masters programs, and for the training of field veterinarians as a member of the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE). She contributes to the evaluation of epidemiological skills among veterinary colleagues as Head Examiner for Membership in the Epidemiology Chapter of the Australian and New Zealand College of Veterinary Scientists. Her applied research focuses on biosecurity, emergency animal diseases and zoonoses in Australia, southeast Asia and the Pacific.

","Presentations":[{"Title":"Recommendations and implications from a retrospective study of the Fiji BTEC program. What does this mean for the future?","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"93512fc3-acb8-4e33-907f-14d358bbd1d7","Html":null,"PlainText":"Keywords: Bovine tuberculosis, dairy cattle, disease control, BTEC
Objective:
Based on the findings of the 2015-2020 retrospective study
•\tTo identify risk factors for bTB in Fiji dairy farms
•\tTo provide recommendations and describe their implications for improvement of the Bovine Tuberculosis Eradication and Control program (BTEC).
Methods:
Retrospective study results and operational procedures were evaluated to identify factors contributing to bTB transmission and maintenance, leading to recommendations and improvements to BTEC strategy.
Results:
Several improvements to the BTEC program occurred from 2015 to 2020. These included the establishment of the national web-database Bovibase enabling recording of data on BTEC activities with better identification and follow up of participating farms and animals, recording of untested and missing animals, and stringent farm bTB status classification. In collaboration with other agencies, there were improvements to farmer compensation and a reduction of animal movements from infected farms.
However, the retrospective study showed that bTB prevalence is not decreasing in dairy farms. The main contributors to this were large farms retaining older animals, the movement of animals from bTB infected or restricted farms to other locations and incomplete testing.
Thus, our recommendations are to continue close monitoring of large farms and investigate farm management practices to understand reasons for high bTB prevalence; to stop movements from infected farms; to address reasons for incomplete testing; to find practical and sustainable sources for restocking; to continue the consistent use of Bovibase; and, to enhance Bovibase for efficient data analysis and reporting.
Conclusions:
The BTEC program needs improvement to ensure achieve better bTB control in coming years. The factors contributing to bTB persistence in dairy farms must be targeted, with government policy and industry support needed for more farms to achieve and/or maintain a bTB clear status.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"93512fc3-acb8-4e33-907f-14d358bbd1d7","Title":"Miss","FirstName":"Anabel","LastName":"Garcia","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Garcia A"},{"PresentationId":"93512fc3-acb8-4e33-907f-14d358bbd1d7","Title":"Dr.","FirstName":"Elva","LastName":"Borja","Position":"Senior Veterinary Officer","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Borja E"},{"PresentationId":"93512fc3-acb8-4e33-907f-14d358bbd1d7","Title":"Dr.","FirstName":"Aoife","LastName":"Reid","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Reid A"},{"PresentationId":"93512fc3-acb8-4e33-907f-14d358bbd1d7","Title":"Mr.","FirstName":"Vijendra","LastName":"Samy","Position":"Agricultural Assistant","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Samy V"},{"PresentationId":"93512fc3-acb8-4e33-907f-14d358bbd1d7","Title":"Dr.","FirstName":"Richard","LastName":"Whittington","Position":"Emeritus Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Whittington R"},{"PresentationId":"93512fc3-acb8-4e33-907f-14d358bbd1d7","Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Toribio J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"93512fc3-acb8-4e33-907f-14d358bbd1d7","Number":1,"Affiliation":"School of Veterinary Science, Farm Animal Health, University of Sydney","City":"Sydney","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Veterinary Science, Farm Animal Health, University of Sydney, Sydney NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"93512fc3-acb8-4e33-907f-14d358bbd1d7","Number":2,"Affiliation":"Animal Health & Production Division, Ministry of Agriculture of Fiji, Koronivia Research Station Central, Fiji","City":"Koronivia","State":"Naitasiri","Country":"Fiji","AffiliationDisplay":"Animal Health & Production Division, Ministry of Agriculture of Fiji, Koronivia Research Station Central, Fiji, Koronivia Naitasiri, Fiji"}],"AuthorsHtml":"Garcia A1, Borja E2, Reid A2, Samy V2, Whittington R1, Toribio J1","AffiliationsHtml":"
1School of Veterinary Science, Farm Animal Health, University of Sydney, Sydney NSW, Australia
2Animal Health & Production Division, Ministry of Agriculture of Fiji, Koronivia Research Station Central, Fiji, Koronivia Naitasiri, Fiji
"},{"Title":"Retrospective study of the Bovine Tuberculosis Eradication and Control program across dairy cattle in Fiji from 2015 to 2020","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Html":null,"PlainText":"Objective:
To evaluate the performance of the test-and-cull based Bovine Tuberculosis Eradication and Control program (BTEC) for the dairy industry in Fiji 2015-2020.
Methods:
Longitudinal data from dairy cattle tested during 2015-2020 were analysed to quantify the tests applied, bTB positive herds, reactors, and meat inspection findings.
Results:
The dairy industry is concentrated in Central Division which includes Suva, the capital of Fiji. Based on population data reported in the 2020 Fiji Agriculture Census, in 2020 the BTEC program tested 74.5% of the dairy cattle in Central Division.
3,912 (7.8%) of the total of 50,237 unique identity dairy cattle tested during 2015-2020 were bTB reactors (Figure 1). They came from 209 farms, which represented 61.7% of the 339 dairy farms tested. In 2019-2020, tissues from reactors without visible bTB lesions at meat inspection were sent for culture and 79% were presumptive culture positive for M. bovis.
By 2020, when classified by size of operation, the proportion of bTB positive dairy farms was 64%, 28% and 21% for commercial, semi-commercial and subsistence farm categories, respectively. Thirteen of 82 (16%) dairy farms tested every year achieved bTB clear status during 2019-2020.
Conclusions:
Bovine tuberculosis remains a serious concern for the Fiji dairy industry and a public health risk for those that consume unpasteurised milk. It is imperative that the main contributors to bTB persistence in dairy farms be identified so that government policy and industry action can target these and support more farms to achieve and maintain clear status.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/8c49adf523ed490d81434fd684c5e8d3","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Title":"Miss","FirstName":"Anabel","LastName":"Garcia","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Garcia A"},{"PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Title":"Dr.","FirstName":"Elva","LastName":"Borja","Position":"Senior Veterinary Officer","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Borja E"},{"PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Title":"Dr.","FirstName":"Aoife","LastName":"Reid","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Reid A"},{"PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Title":"Mr.","FirstName":"Vijendra","LastName":"Samy","Position":"Agricultural Assistant","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Samy V"},{"PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Title":"Dr.","FirstName":"Richard","LastName":"Whittington","Position":"Emeritus Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Whittington R"},{"PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Toribio J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Number":1,"Affiliation":"School of Veterinary Science, Farm Animal Health, University Of Sydney","City":"Sydney","State":"NSW","Country":"Australia","AffiliationDisplay":"School of Veterinary Science, Farm Animal Health, University Of Sydney, Sydney NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"08fccac9-b5c8-4ed9-b717-2005d6ce4e21","Number":2,"Affiliation":"Animal Health & Production Division, Ministry of Agriculture of Fiji","City":"Koronivia Research Station","State":"Central","Country":"Fiji","AffiliationDisplay":"Animal Health & Production Division, Ministry of Agriculture of Fiji, Koronivia Research Station Central, Fiji"}],"AuthorsHtml":"Garcia A1, Borja E2, Reid A2, Samy V2, Whittington R1, Toribio J1","AffiliationsHtml":"
1School of Veterinary Science, Farm Animal Health, University Of Sydney, Sydney NSW, Australia
2Animal Health & Production Division, Ministry of Agriculture of Fiji, Koronivia Research Station Central, Fiji
"},{"Title":"Essential epidemiology for veterinary graduates - overview and introduction to session","Bio":"Jenny-Ann Toribio, Associate Professor in Epidemiology at the Sydney School of Veterinary Science, is a veterinary epidemiologist with a career commitment to innovative training in veterinary epidemiology. Jenny-Ann has developed curriculum in epidemiology and veterinary public health for BVSc, DVM and Masters programs, and for the training of field veterinarians as a member of the Asia Pacific Consortium of Veterinary Epidemiology (APCOVE). She contributes to the evaluation of epidemiological skills among veterinary colleagues as Head Examiner for Membership in the Epidemiology Chapter of the Australian and New Zealand College of Veterinary Scientists. Her applied research focuses on biosecurity, emergency animal diseases and zoonoses in Australia, southeast Asia and the Pacific.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"7773fd23-faf6-43a7-8675-56fdf517823b","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"4_Special Session: Teaching Epidemiology in the Veterinary Curriculum","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"66d9602d-5c9b-4fac-96e5-5bff23c6041c","Html":null,"PlainText":"Objective: To scope the epidemiology content in current veterinary curricula and the views of veterinary students and veterinarians on it.


Materials and methods:
Accreditation requirements for veterinary degrees and curricula from veterinary schools were reviewed to identify the epidemiology content that is required in a veterinary degree and to consider its presentation in current veterinary curricula. The views of veterinary students and of veterinarians about epidemiology in veterinary degrees reported in the literature were also reviewed.

Results:
Based on the requirements for international accreditation of a veterinary degree, the essential epidemiological content is: 1. Epidemiological features of diseases, 2. Investigation involving data skills, 3. Research methods and critical appraisal, 4. Diagnostic test applications. Curricula that include topics such as risk analysis and require individual student conduct of research may be extending beyond the essential content for reasons related to the university context or to registration (of an omnicompetent or unicompetent veterinarian). The presentation of epidemiological content varies across veterinary curricula from stand-alone units, to partial integration and on to full integration, and the contributors to presentation type are considered. Differing views on the importance of epidemiology are reported for veterinary students and for veterinarians in the few studies published to date.

Conclusion:
Although there is large agreement among accreditation bodies on the essential epidemiological content for a veterinary degree, there is considerable variation in content across veterinary curricula which in some instances may exceed requirements. This special session will explore what we are teaching, how we are teaching it, and grapple with questions about the epidemiological knowledge, skills and attitude that need to be attained for a veterinary student to be career ready at graduation.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"66d9602d-5c9b-4fac-96e5-5bff23c6041c","Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Toribio J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"66d9602d-5c9b-4fac-96e5-5bff23c6041c","Number":1,"Affiliation":"University of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"University of Sydney, Camden NSW, Australia"}],"AuthorsHtml":"Toribio J1","AffiliationsHtml":"
1University of Sydney, Camden NSW, Australia
"},{"Title":"Improving pig disease surveillance in Timor Leste: a community engagement and learning approach83","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Html":null,"PlainText":"Objective:
Strengthening passive animal health surveillance is needed for the Ministry of Agriculture and Fisheries (MAF) in Timor Leste to meet OIE requirements and MAF strategic goals. Given this need, our research evaluated best practice community engagement to support pig production and enhance case detection.

Materials and Methods:
Two villages (one close, one remote) in each of Bobonaro, Aileu and Liquica municipalities were selected. Using interviews and focus group discussions, we conducted a baseline evaluation of limitations and opportunities for case detection and investigation of pig diseases. Drawing on our findings and the literature, veterinary technicians were trained and implemented community engagement and disease investigation activities. Following implementation, further interviews and FGD were conducted.

Results:
The baseline FGDs involving 133 farmers (62 men, 71 women) found a low level of reporting to MAF (25/133 18.8%) with hindrances including no contact with and limited response from veterinary technicians. Of 16 technicians (11 men, 5 women), the majority stated that regular meetings to discuss husbandry were needed to improve farmer reporting, and several stated a lack of confidence to conduct disease investigation and requested post-mortem training.

These findings informed the technician training and the approach to community engagement. A significant increase in farmer motivation to report was achieved (% highly motivated to report increased from 13 to 83%), and reasons included the relationship with technician, the knowledge of the technician, and the realisation reporting can help to prevent disease spread. Furthermore, 27 reported cases of pig mortality were investigated (ASF virus detected in 19, suspected bacterial and/or parasitic aetiologies in 8).

Conclusions:
This study provides evidence of the importance of community engagement to establish relationships that enhance farmer motivation to report and to support disease investigation. The benefits realised by farmers and technicians included improved husbandry and disease detection.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Title":"Mr.","FirstName":"Felisiano da","LastName":"Conceicao","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":0,"DisplayName":"Conceicao F"},{"PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Title":"Dr.","FirstName":"Joanita Bendita da Costa","LastName":"Jong","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":0,"DisplayName":"Jong J"},{"PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Title":"Dr","FirstName":"Joanne","LastName":"Millar","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":1,"DisplayName":"Millar J"},{"PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Title":"Mr","FirstName":"Olavio","LastName":"Morales","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Morales O"},{"PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Title":"Ms","FirstName":"Henriqueta","LastName":"Da Silva","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Da Silva H"},{"PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Title":"Dr","FirstName":"Paul","LastName":"Hick","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Hick P"},{"PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Title":"Mrs.","FirstName":"Jenny-Ann","LastName":"Toribio","Position":"Associate Professor in Epidemiology","Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Toribio J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Number":1,"Affiliation":"University Of Sydney","City":"Camden","State":"NSW","Country":"Australia","AffiliationDisplay":"University Of Sydney, Camden NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Number":2,"Affiliation":"Charles Sturt University","City":"Albury","State":"NSW","Country":"Australia","AffiliationDisplay":"Charles Sturt University, Albury NSW, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6697d899-1142-404c-81a3-8a45b9570b8c","Number":3,"Affiliation":"Ministry of Agriculture and Fisheries","City":"Dili","State":"Dili","Country":"Timor Leste","AffiliationDisplay":"Ministry of Agriculture and Fisheries, Dili Dili, Timor Leste"}],"AuthorsHtml":"Conceicao F3, Jong J3, Millar J2, Morales O3, Da Silva H3, Hick P1, Toribio J1","AffiliationsHtml":"
1University Of Sydney, Camden NSW, Australia
2Charles Sturt University, Albury NSW, Australia
3Ministry of Agriculture and Fisheries, Dili Dili, Timor Leste
"}],"DisplayName":"Jenny-Ann Toribio","TimeDisplay":null},{"ContactId":"cbdd9481-9edc-4ef4-b5cb-3732cf26486d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Giovanny","LastName":"Torres","Position":"Researcher","Organization":"Colombian Institute Of Tropical Medicine-ces University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Phenotypic and Genomic characterization of 𝘚𝘵𝘳𝘦𝘱𝘵𝘰𝘤𝘰𝘤𝘤𝘶𝘴 𝘶𝘣𝘦𝘳𝘪𝘴 strains associated with bovine mastitis in dairy herds from Antioquia, Colombia.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Html":null,"PlainText":"Key words: Bovine Mastitis, 𝘚𝘵𝘳𝘦𝘱𝘵𝘰𝘤𝘰𝘤𝘤𝘶𝘴 𝘶𝘣𝘦𝘳𝘪𝘴, WGS, MLST.

Objective: The primary objective of this study was to explore the genotypic and phenotypic characteristics of 𝘚𝘵𝘳𝘦𝘱𝘵𝘰𝘤𝘰𝘤𝘤𝘶𝘴 𝘶𝘣𝘦𝘳𝘪𝘴 (𝘚. 𝘶𝘣𝘦𝘳𝘪𝘴) strains associated to intramammary infections in dairy herds from Antioquia, Colombia.

Materials and Methods: Twenty-one isolates were recovered from fresh milk samples in six dairy herds located in Antioquia, Colombia. Of these, the phenotypic and genomic characteristics were assessed in ten 𝘚. 𝘶𝘣𝘦𝘳𝘪𝘴 isolates, through antimicrobial susceptibility (minimum inhibitory concentration) and whole genome sequence analysis (WGS) using Illumina sequencing. Further exploration of the genomic characteristics was examined identify sequence type, pangenome, virulence determinants and putative prophage sequences.

Results: Phenotypically, 80% of the isolates were clindamycin resistant and 20% were resistant to erythromycin or tetracycline. Their genomic sizes ranged from 1,902,784 bp to 2,134,443 bp, with a pangenome containing 1,629 genes. Furthermore, the genomic characteristics, showed the presence of resistance genes such as 𝘵𝘦𝘵𝘖, 𝘵𝘦𝘵𝘔, 𝘌𝘳𝘮𝘉 e and 𝘭𝘯𝘶𝘊, 36 virulence factors, and the insertion sequences IS𝘚𝘢𝘨2 and IS𝘌𝘯𝘧𝘢4, previously described in other bacterial species. The MLST typing showed ten different novel sequence types (ST) (25th January 2022).

Conclusion: This is the first Colombian report where both phenotypic and genomic characteristics of 𝘚. 𝘶𝘣𝘦𝘳𝘪𝘴 were assessed. These isolates exhibited antimicrobial resistance and virulence characteristics of potential public health importance in the region, and a high variable population corresponding with a non-clonal 𝘚. 𝘶𝘣𝘦𝘳𝘪𝘴 structure.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Title":"Msc","FirstName":"Paola","LastName":"Rios","Position":"Researcher","Affiliations":null,"IsPresenting":false,"SortOrder":1,"DisplayName":"Rios P"},{"PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Title":"Dr.","FirstName":"Giovanny","LastName":"Torres","Position":"Researcher","Affiliations":null,"IsPresenting":true,"SortOrder":2,"DisplayName":"Torres G"},{"PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Title":"MSc","FirstName":"Arley","LastName":"Caraballo","Position":"Researcher","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Caraballo A"},{"PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Title":"Dr","FirstName":"Julián","LastName":"Reyes","Position":"Researcher","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Reyes J"},{"PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Title":"Dra","FirstName":"Martha","LastName":"Olivera","Position":"Researcher","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Olivera M"},{"PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Title":"Dr","FirstName":"Adam","LastName":"Blanchard","Position":"Researcher","Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Blanchard A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Number":1,"Affiliation":"Colombian Institute Of Tropical Medicine-ces University","City":"Sabaneta","State":"Antioquia","Country":"Colombia","AffiliationDisplay":"Colombian Institute Of Tropical Medicine-ces University, Sabaneta Antioquia, Colombia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Number":2,"Affiliation":"Colombian Institute Of Tropical Medicine-ces University","City":"Sabaneta","State":"Antioquia","Country":"Colombia","AffiliationDisplay":"Colombian Institute Of Tropical Medicine-ces University, Sabaneta Antioquia, Colombia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Number":3,"Affiliation":"Colombian Institute Of Tropical Medicine-ces University","City":"Sabaneta","State":"Antioquia","Country":"Colombia","AffiliationDisplay":"Colombian Institute Of Tropical Medicine-ces University, Sabaneta Antioquia, Colombia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Number":4,"Affiliation":"Colombian Institute Of Tropical Medicine-ces University","City":"Sabaneta","State":"Antioquia","Country":"Colombia","AffiliationDisplay":"Colombian Institute Of Tropical Medicine-ces University, Sabaneta Antioquia, Colombia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Number":5,"Affiliation":"Universidad de Antioquia","City":"Medellín","State":"Antioquia","Country":"Colombia","AffiliationDisplay":"Universidad de Antioquia, Medellín Antioquia, Colombia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26a85ce6-8120-4a61-b43d-301678532de8","Number":6,"Affiliation":"Nottingham University","City":"United Kingdom","State":null,"Country":"England","AffiliationDisplay":"Nottingham University, United Kingdom, England"}],"AuthorsHtml":"Rios P, Torres G, Caraballo A, Reyes J, Olivera M, Blanchard A","AffiliationsHtml":"
1Colombian Institute Of Tropical Medicine-ces University, Sabaneta Antioquia, Colombia
2Colombian Institute Of Tropical Medicine-ces University, Sabaneta Antioquia, Colombia
3Colombian Institute Of Tropical Medicine-ces University, Sabaneta Antioquia, Colombia
4Colombian Institute Of Tropical Medicine-ces University, Sabaneta Antioquia, Colombia
5Universidad de Antioquia, Medellín Antioquia, Colombia
6Nottingham University, United Kingdom, England
"}],"DisplayName":"Giovanny Torres","TimeDisplay":null},{"ContactId":"9fa4ee60-14c5-4e33-bd39-1cdd10b56940","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Berina","LastName":"Traub","Position":"Masters Student","Organization":"University of Calgary","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/cbc0980c07694105b489ddd12336b48e","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Understanding Canadian dairy farmers perspectives on outdoor access for dairy cows using an online questionnaire","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"81b6468d-38a2-4f06-ba00-ba54f34eef5e","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"e5419028-2437-4665-a351-c2ad2c9fa1b7","Html":null,"PlainText":"Objective: Dairy cows are highly motivated to access pasture, especially at night. Additionally, the public values the provision of outdoor access to dairy cows. Data obtained in the National Dairy Study indicated that in 2015, a total 30% of Canadian dairy farms provide pasture access to lactating cows; 60% provide pasture to dry cows. Given the disconnect between public values and dairy farming practices, it is important to better understand Canadian dairy farmers’ perspectives on outdoor access. Therefore, the objective of our study was to understand perspectives of Canadian dairy farmers on providing outdoor access.

Materials and Methods: An online questionnaire was distributed between November 2020 and August 2021 by all provincial milk boards to Canadian dairy farmers, resulting in an 8.9% response rate (n = 903 completed questionnaires). Farmers were asked: 1) if they envisioned an increase, decrease, or no change in the amount of outdoor access provided on their farm in the next 20 years and 2) to motivate their answer. Data were analyzed using template analysis.

Results: A total 13.4% (n = 121) of respondents indicated they would decrease outdoor access, 66.7% (n = 602) would keep their management practices the same, and 19.9% (n = 180) of respondents indicated that they planned an increase in the amount of outdoor access they provided on their farm in the next 20 years. Reasons to increase, decrease, or keep the amount of outdoor access the same all revolved around the same 6 main themes: climate, cow welfare, economics, environment, infrastructure, and management. Expected positive effects of providing outdoor access on public perception of dairy farming was also mentioned as reason to provide outdoor access.

Conclusion: We conclude that Canadian dairy farmer perspectives on the decision to provide outdoor access in the future differ due a multitude of farm-specific factors. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e5419028-2437-4665-a351-c2ad2c9fa1b7","Title":"Ms.","FirstName":"Berina","LastName":"Traub","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Traub B"},{"PresentationId":"e5419028-2437-4665-a351-c2ad2c9fa1b7","Title":"(she/her)","FirstName":"Anne-Marieke ","LastName":"Smid","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Smid A"},{"PresentationId":"e5419028-2437-4665-a351-c2ad2c9fa1b7","Title":"(she/her)","FirstName":"Melanie","LastName":"Jarbeau ","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Jarbeau M"},{"PresentationId":"e5419028-2437-4665-a351-c2ad2c9fa1b7","Title":"(she/her)","FirstName":"Vanessa","LastName":"Boone ","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Boone V"},{"PresentationId":"e5419028-2437-4665-a351-c2ad2c9fa1b7","Title":"(he/him)","FirstName":"Shane","LastName":"Sinclair","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Sinclair S"},{"PresentationId":"e5419028-2437-4665-a351-c2ad2c9fa1b7","Title":"(he/him)","FirstName":"Herman","LastName":"Barkema","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Barkema H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e5419028-2437-4665-a351-c2ad2c9fa1b7","Number":1,"Affiliation":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e5419028-2437-4665-a351-c2ad2c9fa1b7","Number":2,"Affiliation":"Faculty of Nursing and Department of Oncology, University of Calgary","City":"Calgary","State":"AB","Country":"Canada","AffiliationDisplay":"Faculty of Nursing and Department of Oncology, University of Calgary, Calgary AB, Canada"}],"AuthorsHtml":"Traub B1, Smid A1, Jarbeau M1, Boone V1, Sinclair S2, Barkema H1","AffiliationsHtml":"
1Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary AB, Canada
2Faculty of Nursing and Department of Oncology, University of Calgary, Calgary AB, Canada
"}],"DisplayName":"Berina Traub","TimeDisplay":null},{"ContactId":"8621932d-612d-4651-8f70-3d8b650a6d82","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Enrico Maria","LastName":"Trombetta","Position":"","Organization":"University of Glasgow","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Seeking Optimal Treatment Strategies in Salmonid Aquaculture","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f2ee33b2-2296-45f4-a561-4780f4101af8","Html":null,"PlainText":"Sea lice infestation represents a major barrier to the sustainability of salmonid aquaculture and, in the context of evolving resistance to treatment and environmental factors, treatment is highly regulated. We have developed a simulation model with the aim of investigating the complex economic-epidemiological-ecological interactions of sea lice, farmed and wild fish, and treatment decisions.

Objectives

We aim to determine how coordination and triggering of treatment alongside varying hydrological topology of farm connections affects the evolution of lice resistance, and thus optimise salmon quality within socio-economic and environmental constraints.

Materials and methods

We present a novel stochastic simulation of sea lice infestation including the lice life-cycle, genetic resistance to treatment, a wildlife reservoir, salmon growth and stocking practices in the context of infestation, and coordination of treatment between farms. Farms report infestation levels to a central organisation, and may then cooperate or not when coordinated treatment is triggered. Treatment practice then impacts the level of resistance in the surrounding sea lice population.

Our open-source model is freely available at https://github.com/resistance-modelling/slim

Results

Our simulation finds that treatment drives selection for resistance (Fig1a) and coordination between managers is key. We also find that position in the hydrologically-derived network of farms (e.g. Fig1b) can impact individual farm infestation levels and the topology of this network can impact overall infestation and resistance.

Conclusion

Network topology drives infestation levels in cages, treatments, and hence treatment-driven resistance. Thus farmer behaviour may be highly dependent on hydrologically position and local level of infestation.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"f2ee33b2-2296-45f4-a561-4780f4101af8","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/3749e8e8f86b4fdfb0536dc0207797ed","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"f2ee33b2-2296-45f4-a561-4780f4101af8","Title":"Mr.","FirstName":"Enrico Maria","LastName":"Trombetta","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Trombetta E"},{"PresentationId":"f2ee33b2-2296-45f4-a561-4780f4101af8","Title":"Ms.","FirstName":"Jess","LastName":"Enright","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Enright J"},{"PresentationId":"f2ee33b2-2296-45f4-a561-4780f4101af8","Title":"Dr.","FirstName":"Anthony","LastName":"O' Hare","Position":"Senior Lecturer in Food Security","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"O' Hare A"},{"PresentationId":"f2ee33b2-2296-45f4-a561-4780f4101af8","Title":"Ms.","FirstName":"Sara","LastName":"Jakubiak","Position":"Research Assistant","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Jakubiak S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f2ee33b2-2296-45f4-a561-4780f4101af8","Number":1,"Affiliation":"University Of Glasgow","City":"Glasgow","State":null,"Country":"United Kingdom","AffiliationDisplay":"University Of Glasgow, Glasgow, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f2ee33b2-2296-45f4-a561-4780f4101af8","Number":2,"Affiliation":"University of Stirling","City":"Stirling","State":null,"Country":"United Kingdom","AffiliationDisplay":"University of Stirling, Stirling, United Kingdom"}],"AuthorsHtml":"Trombetta E1, Enright J1, O' Hare A2, Jakubiak S1","AffiliationsHtml":"
1University Of Glasgow, Glasgow, United Kingdom
2University of Stirling, Stirling, United Kingdom
"}],"DisplayName":"Enrico Maria Trombetta","TimeDisplay":null},{"ContactId":"a5aae0cc-98a1-4e66-9e4e-5ac592360061","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Dana","LastName":"Tschritter","Position":"","Organization":"University of Alberta","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/c0a40a68c2a34bab99cb371e6c53f5f5","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Farm-to-fork quantitative microbial risk assessment (QMRA) of ciprofloxacin-resistant Campylobacter from chicken meat in Canada","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"770ebe47-1f48-44bc-92c3-0bcde88690e1","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.C - Risk Assessment","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Html":null,"PlainText":"Objectives: Quantitative microbial risk assessments (QMRAs) estimate pathogen transmission and risk and provide insight for risk managers. The objective of this study was to conduct a QMRA for the risk of human illness with ciprofloxacin-resistant (CIPR) Campylobacter from eating chicken in Canada.

Methods: An exposure assessment used data available from federal surveillance programs and peer-reviewed literature to estimate the prevalence and magnitude of total and CIPR Campylobacter at nine key nodes between the farm and home preparation (Figure 1). A novel DRM for CIPR Campylobacter was used (see companion abstract). The probabilities of total and CIPR illness from single servings and incidences in Canada were estimated. Sensitivity and scenario analyses identified critical control points and strategies.

Results: The probabilities of total and CIPR campylobacteriosis from one serving were 0.015% (95% CrI: 0.000082-3.1%) and 0.002% (95% CrI: 0.000012-0.44%), respectively. The likewise incidences per 100,000 population were 1,101 (95% CrI: 6-223,000) and 143 (95% CrI: 1-31,500), respectively. Critical control points for total and CIPR Campylobacter were found at cooking, transportation, and evisceration. Interventions which reduced illness involved the prevalence entering retail, cross-contamination during cooking, and on-farm flock colonization with Campylobacter.

Conclusions: Pervasive knowledge gaps remain a significant hindrance in risk assessments of antimicrobial resistant Campylobacter. This model provides useful insight on transmission of CIPR Campylobacter and risk managements for the Canadian chicken industry.


Figure 1: Estimated prevalences (A) and concentrations (B) of total (blue) and CIPR (red) Campylobacter through the exposure assessment shown as medians and bounded by 5th and 95th percentiles.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/7986bc74115a41f098cb566fe3f623a9","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Title":"Ms.","FirstName":"Dana","LastName":"Tschritter","Position":null,"Affiliations":"1,2,3","IsPresenting":true,"SortOrder":1,"DisplayName":"Tschritter D"},{"PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Title":null,"FirstName":"Qiaozhi","LastName":"Li","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Li Q"},{"PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Title":null,"FirstName":"Ben A.","LastName":"Smith","Position":null,"Affiliations":"3,4","IsPresenting":false,"SortOrder":3,"DisplayName":"Smith B"},{"PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Title":null,"FirstName":"Richard J.","LastName":"Reid-Smith","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Reid-Smith R"},{"PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Title":null,"FirstName":"Carolee A.","LastName":"Carson","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Carson C"},{"PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Title":null,"FirstName":"Simon J.G.","LastName":"Otto","Position":null,"Affiliations":"1,2,3,6","IsPresenting":false,"SortOrder":6,"DisplayName":"Otto S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Number":1,"Affiliation":"School Of Public Health, University Of Alberta","City":"Toronto","State":"ON","Country":"Canada","AffiliationDisplay":"School Of Public Health, University Of Alberta, Toronto ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Number":2,"Affiliation":"HEAT-AMR Research Group","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"HEAT-AMR Research Group, Edmonton AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Number":3,"Affiliation":"Antimicrobial Resistance - One Health Consortium","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"Antimicrobial Resistance - One Health Consortium, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Number":4,"Affiliation":"National Microbiology Laboratory, Public Health Agency of Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"National Microbiology Laboratory, Public Health Agency of Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Number":5,"Affiliation":"Centre for Food-borne, Environmental, and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Centre for Food-borne, Environmental, and Zoonotic Infectious Diseases, Public Health Agency of Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"66dafd90-ee27-435b-a2fd-ef69c2b21739","Number":6,"Affiliation":"Thematic Area Lead, Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"Thematic Area Lead, Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta, Edmonton AB, Canada"}],"AuthorsHtml":"Tschritter D1,2,3, Li Q1,3, Smith B3,4, Reid-Smith R5, Carson C5, Otto S1,2,3,6","AffiliationsHtml":"
1School Of Public Health, University Of Alberta, Toronto ON, Canada
2HEAT-AMR Research Group, Edmonton AB, Canada
3Antimicrobial Resistance - One Health Consortium, Canada
4National Microbiology Laboratory, Public Health Agency of Canada
5Centre for Food-borne, Environmental, and Zoonotic Infectious Diseases, Public Health Agency of Canada
6Thematic Area Lead, Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta, Edmonton AB, Canada
"},{"Title":"A novel dose-response model for infection with foodborne ciprofloxacin-resistant Campylobacter","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Html":null,"PlainText":"Objectives: Infections from foodborne pathogens with antimicrobial resistance (AMR) post a risk to human health and the future of animal and human healthcare. Dose-response models (DRMs) are critical components of quantitative microbial risk assessments (QMRAs), a mathematical modeling approach used to estimate risk. However, modeling foodborne AMR Campylobacter has been hindered by insufficient DRM frameworks that account for AMR itself. in 2019, Chandrasekaran & Jiang proposed a novel DRM for AMR using gentamicin-resistant E. coli, an approach designed to be suitable for other resistant bacteria. The objective of this study was to develop a novel DRM that account for ciprofloxacin-resistant (CIPR) Campylobacter using this framework.

Methods: A novel model was developed for the probability of infection from exposure to a mixed dose of Campylobacter (both ciprofloxaicn-resistant and -susceptible) at a certain ambient concentration of ciprofloxacin (CIP). Pharmacodynamic and epidemiologic data regarding campylobacteriosis and CIP's actions on Campylobacter were used to calculate new DRM parameters. The model was explored at three dose compositions (10%, 50%, 90% CIPR) and different ambient CIP concentrations. The novel model was compared to the traditionally used beta-Poisson DRM of Campylobacter, with α and β shape parameters of (0.21, 59.59), respectively, from previous QMRAs.

Results: New parameters for the survival of a single CIPS Campylobacter were (0.21, 112.48), (0.21, 361.50), and (0.21, 1068.24) when the ciprofloxacin concentration was 0.065, 0.195, and 0.325 μg/L, respectively. Methodological suitability of the model for the CIPR Campylobacter context, associated data availability, and broader assumptions and implications of the DRM will be presented.

Conclusions: This novel DRM presents important considerations and model adjustments for the biological and pathogenic behaviour for CIPR Campylobacter. This DRM framework is promising for future AMR foodborne QMRAs.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Title":"Ms.","FirstName":"Dana","LastName":"Tschritter","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Tschritter D"},{"PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Title":null,"FirstName":"Qiaozhi","LastName":"Li","Position":null,"Affiliations":"1,3","IsPresenting":false,"SortOrder":2,"DisplayName":"Li Q"},{"PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Title":null,"FirstName":"Ben","LastName":"Smith","Position":null,"Affiliations":"3,4","IsPresenting":false,"SortOrder":3,"DisplayName":"Smith B"},{"PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Title":"Dr.","FirstName":"Richard","LastName":"Reid-Smith","Position":"Veterinary Epidemiologist","Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Reid-Smith R"},{"PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Title":"Dr","FirstName":"Carolee","LastName":"Carson","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Carson C"},{"PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Title":"Dr.","FirstName":"Simon","LastName":"Otto","Position":"Associate Professor","Affiliations":"1,2,3,6","IsPresenting":false,"SortOrder":6,"DisplayName":"Otto S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Number":1,"Affiliation":"School of Public Health, University of Alberta","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"School of Public Health, University of Alberta, Edmonton AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Number":2,"Affiliation":"HEAT-AMR Research Group","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"HEAT-AMR Research Group, Edmonton AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Number":3,"Affiliation":"Antimicrobial Resistance - One Health Consortium","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"Antimicrobial Resistance - One Health Consortium, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Number":4,"Affiliation":"National Microbiology Laboratory, Public Health Agency of Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"National Microbiology Laboratory, Public Health Agency of Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Number":5,"Affiliation":"Centre for Food-borne, Environmental, and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":null,"State":null,"Country":null,"AffiliationDisplay":"Centre for Food-borne, Environmental, and Zoonotic Infectious Diseases, Public Health Agency of Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a500328d-ad88-4f9b-b47b-43a23b729527","Number":6,"Affiliation":"Thematic Area Lead, Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"Thematic Area Lead, Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta, Edmonton AB, Canada"}],"AuthorsHtml":"Tschritter D1, Li Q1,3, Smith B3,4, Reid-Smith R5, Carson C5, Otto S1,2,3,6","AffiliationsHtml":"
1School of Public Health, University of Alberta, Edmonton AB, Canada
2HEAT-AMR Research Group, Edmonton AB, Canada
3Antimicrobial Resistance - One Health Consortium, Canada
4National Microbiology Laboratory, Public Health Agency of Canada
5Centre for Food-borne, Environmental, and Zoonotic Infectious Diseases, Public Health Agency of Canada
6Thematic Area Lead, Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta, Edmonton AB, Canada
"},{"Title":"Modelling antimicrobial-resistant Campylobacter spp. in broiler chicken in Canada using an integrated assessment model","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Html":null,"PlainText":"Campylobacter spp., commonly detected in poultry, are the third most common cause of foodborne illness in Canada. Campylobacter are known to be resistant to antimicrobials important to human health. With Canadian agri-food surveillance reporting recovery rates of 35% of Campylobacter in retail broiler chicken, it is important to determine the risk of infection with antimicrobial-resistant Campylobacter for the consumer. To understand and quantify the risk of antimicrobial resistance in Canada, the Canadian Integrated Program for Antimicrobial Resistance Surveillance employed an integrated assessment model. Our objective was to describe factors related to fluoroquinolone, macrolide and tetracycline-resistant Campylobacter in broiler chicken in Canada and determine the probability of exposure from farm to retail using this integrated assessment model.

A comprehensive literature search synthesized the available, globally published literature on factors associated with antimicrobial resistance in Campylobacter in broiler chicken. Data extraction consisted of characteristics of the study, the study population, and a description of and results for factor(s) investigated. Models were built in Analytica using baseline surveillance data, odds ratios of factors, frequencies of factors, and consumer data.

The search identified 7,344 de-duplicated articles and 15 articles were included in the qualitative synthesis. Identified factors included management practices, antimicrobial use, chilling type, and packaging type. Factors were allocated at three stages of production: farm, abattoir, and retail. While factors were limited, two scenarios were tested against a baseline scenario to investigate:
1.\tHow the Canadian context influences exposure to antimicrobial-resistant Campylobacter
2.\tHow the inclusion of fluoroquinolone use influences exposure to antimicrobial-resistant Campylobacter

The review and model mapped current literature investigating factors related to antimicrobial-resistant Campylobacter in broiler chicken in Canada. The results identified key research gaps and will contribute to a national integrated assessment model for antimicrobial resistance.

antimicrobial resistance
broiler chicken
integrated assessment model
One Health
Campylobacter","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Title":"Mx.","FirstName":"Christine","LastName":"Neustaedter","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Neustaedter C"},{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Title":"Ms.","FirstName":"Dana","LastName":"Tschritter","Position":"","Affiliations":"8","IsPresenting":true,"SortOrder":2,"DisplayName":"Tschritter D"},{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Title":"Ms.","FirstName":"Kelsey","LastName":"Robertson","Position":"Project coordinator","Affiliations":"3,7","IsPresenting":false,"SortOrder":3,"DisplayName":"Robertson K"},{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Title":"Dr.","FirstName":"Richard","LastName":"Reid-Smith","Position":"Veterinary Epidemiologist","Affiliations":"2,3,4","IsPresenting":false,"SortOrder":4,"DisplayName":"Reid-Smith R"},{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Title":"Dr","FirstName":"Carolee","LastName":"Carson","Position":null,"Affiliations":"2,3","IsPresenting":false,"SortOrder":5,"DisplayName":"Carson C"},{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Title":null,"FirstName":"Colleen P.","LastName":"Murphy","Position":null,"Affiliations":"2,3","IsPresenting":false,"SortOrder":6,"DisplayName":"Murphy C"},{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Title":"Dr.","FirstName":"Simon","LastName":"Otto","Position":"Associate Professor","Affiliations":"1,3,6","IsPresenting":false,"SortOrder":7,"DisplayName":"Otto S"},{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Title":null,"FirstName":"Brennan","LastName":"Chapman","Position":null,"Affiliations":"4,5","IsPresenting":false,"SortOrder":7,"DisplayName":"Chapman B"},{"PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Title":null,"FirstName":"Charly","LastName":"Phillips","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":8,"DisplayName":"Phillips C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Number":1,"Affiliation":"University Of Alberta","City":"Edmonton","State":"AB","Country":"Canada","AffiliationDisplay":"University Of Alberta, Edmonton AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Number":2,"Affiliation":"Food-Borne Disease and Antimicrobial Resistance Surveillance Division, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":null,"State":"Ontario","Country":"Canada","AffiliationDisplay":"Food-Borne Disease and Antimicrobial Resistance Surveillance Division, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Number":3,"Affiliation":"Antimicrobial Resistance - One Health Consortium","City":null,"State":"AB","Country":"Canada","AffiliationDisplay":"Antimicrobial Resistance - One Health Consortium, AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Number":4,"Affiliation":"Department of Population Medicine, University of Guelph Ontario Veterinary College","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, University of Guelph Ontario Veterinary College, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Number":5,"Affiliation":"Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada","City":null,"State":"Alberta","Country":"Canada","AffiliationDisplay":"Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Number":6,"Affiliation":"Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta","City":"Edmonton","State":"Alberta","Country":"Canada","AffiliationDisplay":"Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta, Edmonton Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Number":7,"Affiliation":"HEAT-AMR (Human-Environment-Animal Transdisciplinary AMR) Research Group, School of Public Health, University of Alberta","City":null,"State":"AB","Country":"Canada","AffiliationDisplay":"HEAT-AMR (Human-Environment-Animal Transdisciplinary AMR) Research Group, School of Public Health, University of Alberta, AB, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ccba7d94-6a7a-4698-af26-fc961db16e68","Number":8,"Affiliation":"Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph ON, Canada"}],"AuthorsHtml":"Neustaedter C1, Tschritter D8, Robertson K3,7, Reid-Smith R2,3,4, Carson C2,3, Murphy C2,3, Otto S1,3,6, Chapman B4,5, Phillips C5","AffiliationsHtml":"
1University Of Alberta, Edmonton AB, Canada
2Food-Borne Disease and Antimicrobial Resistance Surveillance Division, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Ontario, Canada
3Antimicrobial Resistance - One Health Consortium, AB, Canada
4Department of Population Medicine, University of Guelph Ontario Veterinary College, Guelph Ontario, Canada
5Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Alberta, Canada
6Healthy Environments, Centre for Health Communities, School of Public Health, University of Alberta, Edmonton Alberta, Canada
7HEAT-AMR (Human-Environment-Animal Transdisciplinary AMR) Research Group, School of Public Health, University of Alberta, AB, Canada
8Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph ON, Canada
"}],"DisplayName":"Dana Tschritter","TimeDisplay":null},{"ContactId":"e2b6405b-3ea7-471a-8881-f5c8f0d09326","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Krista","LastName":"Tuominen","Position":"Doctoral Student","Organization":"Swedish University of Agricultural Sciences","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/a36f09aa6dbc462f820e631dd5ef16d9","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A disease model for simulating environmentally mediated spread of livestock-associated methicillin-resistant Staphylococcus aureus in pig herds","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fd060aa9-cb01-4fd4-a88f-87ada9e19561","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"aeb464c6-858d-4773-b269-84ef1efd2983","Html":null,"PlainText":"Objectives
Livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) is widespread among livestock, pigs being its main reservoir. LA-MRSA is regarded as a public health risk, but it mainly causes zoonotic infections in people in close contact with pigs. To study the spread of LA-MRSA in a pig herd we have built a stochastic compartment model, which incorporates the environmental accumulation and disease pressure into the model. The model is also aimed to serve as a framework for theoretical testing of intervention strategies against LA-MRSA.

Materials and methods
The model was built using R programming language and the SimInf event-based epidemiological simulation package. The transitions from susceptible to infected state were dependent on the environmental infectious pressure, which was determined by the number of shedding animals and environmental decay rate. The transmission rates used in the model were obtained by fitting the model to observational data by using approximate Bayesian computation.

Results
The results showed that indirect transmission through the environment allowed LA-MRSA to persist in the model herd, similar to field observations and without the need to make assumptions about carrier animals. The results also suggested that stopping mixing of pigs in the finishing unit reduced the LA-MRSA prevalence if the initial LA-MRSA level in the unit was low. In the farrowing unit, changes in cross-fostering practices did not have an effect to the LA-MRSA prevalence.

Conclusion
The presented model is a flexible tool for investigating the spread and possible intervention strategies of LA-MRSA in pig herds. Based on the model simulations, restrictions in pig mixing in the farrowing and finishing unit have very limited effect to the LA-MRSA prevalence.

Keywords: modelling, antimicrobial resistance, pigs, One Health

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"aeb464c6-858d-4773-b269-84ef1efd2983","Title":"Ms.","FirstName":"Krista","LastName":"Tuominen","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Tuominen K"},{"PresentationId":"aeb464c6-858d-4773-b269-84ef1efd2983","Title":"Prof.","FirstName":"Susanna","LastName":"Sternberg-Lewerin","Position":"Professor in Epizootiology and Disease Control","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Sternberg-Lewerin S"},{"PresentationId":"aeb464c6-858d-4773-b269-84ef1efd2983","Title":"Prof.","FirstName":"Magdalena","LastName":"Jacobson","Position":"Professor in Pig Medicine","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Jacobson M"},{"PresentationId":"aeb464c6-858d-4773-b269-84ef1efd2983","Title":"Dr","FirstName":"Thomas","LastName":"Rosendal","Position":"Researcher","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Rosendal T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aeb464c6-858d-4773-b269-84ef1efd2983","Number":1,"Affiliation":"Department of Biomedical Science and Veterinary Public Health, Swedish University Of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Biomedical Science and Veterinary Public Health, Swedish University Of Agricultural Sciences, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aeb464c6-858d-4773-b269-84ef1efd2983","Number":2,"Affiliation":"Department of Clinical Sciences, Swedish University of Agricultural Sciences","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aeb464c6-858d-4773-b269-84ef1efd2983","Number":3,"Affiliation":"Department of Epidemiology and Disease Control, National Veterinary Institute","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Epidemiology and Disease Control, National Veterinary Institute, Uppsala, Sweden"}],"AuthorsHtml":"Tuominen K1, Sternberg-Lewerin S1, Jacobson M2, Rosendal T3","AffiliationsHtml":"
1Department of Biomedical Science and Veterinary Public Health, Swedish University Of Agricultural Sciences, Uppsala, Sweden
2Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
3Department of Epidemiology and Disease Control, National Veterinary Institute, Uppsala, Sweden
"}],"DisplayName":"Krista Tuominen","TimeDisplay":null},{"ContactId":"0e7e1ac7-c488-4529-bc01-7141a69a69f4","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Makoto","LastName":"Ukita","Position":"","Organization":"Rakuno Gakuen University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f1f5128eb21647529c4d17941bf1be82","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Development of evaluation methods for the vaccination policy against Classical Swine Fever at Japanese pig farms using a simulation model","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Html":null,"PlainText":" The outbreak of classical swine fever (CSF) in a domestic pig farm occurred in Japan in 2019 after 26 years. CSF was spread to wild boar population, and even though CSF vaccination to domestic pig farms were conducted, farm outbreaks persisted. In this study, an individual-based model for the reduction of maternally-derived antibody (MDA) and increase of vaccine-induced antibody was established based on the S/P ratios of sows and piglets tested by enzyme-linked immunosorbent assay, in response to the needs of objective assessment tool of deciding the vaccination timing.
The model has components of estimating MDA based on S/P ratio of sows, reduction of MDA, and immune response to vaccine based on the level of MDA. A simulation was performed up to the 5th generation of reproduction, regarding the first vaccinated sow as the 1st generation (G1), and herd immunity situation was monitored every 0.5 year until 3.5 years after vaccination for sows.
The model found best-bet vaccination timing which conforms to current vaccination policy, but the level of protection particularly in weaning period was pessimistic. High titer of G1 sows after vaccination started was the reason for the high risk, and preferential culling of high titer G1 sows would stabilize herd immunity one year faster.
The model clarified the highest risk of infection with CSF in weaning period. This study offered evidence-based selection of appropriate timing of vaccination. High MDA in G1 sows are causing interference of immune response to CSF vaccine, and preferential culling of G1 sows with high antibody titer would shorten the risk period for a year. Time rag of start of vaccination according to prefectures would result in the heterogeneity in herd immunity status, thus herd immunity should be examined at farm level using this model.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Title":"Ms.","FirstName":"Makoto","LastName":"Ukita","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Ukita M"},{"PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Title":"Mr.","FirstName":"Keisuke","LastName":"Kuwata","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kuwata K"},{"PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Title":"Dr.","FirstName":"Norikazu","LastName":"Isoda","Position":"Associate professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Isoda N"},{"PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Title":"Dr.","FirstName":"Yoshihiro","LastName":"Sakoda","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Sakoda Y"},{"PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Title":"Mr.","FirstName":"Takehisa","LastName":"Yamamoto","Position":"Deputy Leader","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Yamamoto T"},{"PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Title":"Mr.","FirstName":"Kohei","LastName":"Makita","Position":"Professor Of Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Makita K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Number":1,"Affiliation":"Veterinary Epidemiology Unit, Rakuno Gakuen University","City":"Ebetsu","State":"Hokkaido","Country":"Japan","AffiliationDisplay":"Veterinary Epidemiology Unit, Rakuno Gakuen University, Ebetsu Hokkaido, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Number":2,"Affiliation":"Gifu Prefecture Central Livestock Hygiene Service Center","City":"Gifu","State":"Gifu","Country":"Japan","AffiliationDisplay":"Gifu Prefecture Central Livestock Hygiene Service Center, Gifu Gifu, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Number":3,"Affiliation":"Laboratory of Microbiology, Hokkaido University","City":"Sapporo","State":"Hokkaido","Country":"Japan","AffiliationDisplay":"Laboratory of Microbiology, Hokkaido University, Sapporo Hokkaido, Japan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3ed79b0f-5c4e-4794-8b78-b3db24dee9c0","Number":4,"Affiliation":"Epidemiology and Arbovirus Group, Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization","City":"Tsukuba","State":"Ibaraki","Country":"Japan","AffiliationDisplay":"Epidemiology and Arbovirus Group, Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba Ibaraki, Japan"}],"AuthorsHtml":"Ukita M1, Kuwata K2, Isoda N3, Sakoda Y3, Yamamoto T4, Makita K1","AffiliationsHtml":"
1Veterinary Epidemiology Unit, Rakuno Gakuen University, Ebetsu Hokkaido, Japan
2Gifu Prefecture Central Livestock Hygiene Service Center, Gifu Gifu, Japan
3Laboratory of Microbiology, Hokkaido University, Sapporo Hokkaido, Japan
4Epidemiology and Arbovirus Group, Division of Transboundary Animal Disease Research, National Institute of Animal Health, National Agriculture and Food Research Organization, Tsukuba Ibaraki, Japan
"}],"DisplayName":"Makoto Ukita","TimeDisplay":null},{"ContactId":"6ed9dfbc-4333-4138-88ae-8ff7e4c87e74","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Maryse Michele","LastName":"Um","Position":"Postdoctoral Reseacher","Organization":"University of Montreal","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d6ef8519f2bd47bf87b39ecf88c2e1ff","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Bayesian estimation of accuracy of ELISA on bovine bulk tank milk for predicting herd status for Salmonella Dublin","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0c0475bd-dc03-4dba-a56f-19006991adba","Html":null,"PlainText":"1.\tObjectives
There is no perfect test for determining herd-level status for Salmonella Dublin in dairy herds in absence of confirmed clinical cases. Our objectives were to evaluate the accuracy of different testing scenarios (repeated measurements vs. one) with antibodies measurement (ELISA) on bulk tank milk (Bmilk).

2.\tMaterials and methods
A cohort of 302 randomly selected (population 1) and 58 herds that had previously tested positive to S. Dublin (population 2) were included. Bmilk samples were collected monthly for 6 months (test under investigation) and sera were obtained from 10 young animals on two occasions (imperfect reference test). A Bayesian latent class model for two populations, two tests was fit. We compared Bmilk ELISA testing scenarios where we used: 1) cut-off PP% of ≥15 or ≥35; 2) 1, 2, 3, 4 or 6 samples; and 3) case definitions requiring 1, 2, 3, or 4 positive tests to define the herd as positive.

3.\tResults
Testing > one Bmilk had little or no effect on the specificity. For example, with PP% ≥35, using two Bmilk, with two positive results vs. one Bmilk yielded specificity of 98.7% (96-99.9) vs. 97.8% (95.7-99.5). Given the low disease prevalence (7% in population 1), slightly better positive predictive values (PPV) were obtained for scenarios using very strict definitions to conclude on positivity. The PPV, however, were estimated with little precision. Inversely, in general there were no major differences between approaches neither for sensitivity nor for negative predictive value (NPV). The NPV remained high, ranging from median estimates of 93.7 to 97.5% in population 1.

4.\tConclusion
The optimal testing scenario using ELISA on Bmilk depends on the producer priority and the disease history of the herd, but approaches based on as few as two Bmilk could be recommended to identify uninfected herds with high certainty.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0c0475bd-dc03-4dba-a56f-19006991adba","Title":"Dr.","FirstName":"Maryse Michele","LastName":"Um","Position":"Postdoctoral Reseacher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Um M"},{"PresentationId":"0c0475bd-dc03-4dba-a56f-19006991adba","Title":"Dr.","FirstName":"Julie","LastName":"Arsenault","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Arsenault J"},{"PresentationId":"0c0475bd-dc03-4dba-a56f-19006991adba","Title":"Dr.","FirstName":"Genevieve","LastName":"Cote","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Cote G"},{"PresentationId":"0c0475bd-dc03-4dba-a56f-19006991adba","Title":"Dr","FirstName":"Gilles","LastName":"Fecteau","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Fecteau G"},{"PresentationId":"0c0475bd-dc03-4dba-a56f-19006991adba","Title":"Prof. Dr.","FirstName":"David","LastName":"Francoz","Position":"Vice-Dean for Teaching Staff","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Francoz D"},{"PresentationId":"0c0475bd-dc03-4dba-a56f-19006991adba","Title":"Prof.","FirstName":"Simon","LastName":"Dufour","Position":"Professor of Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Dufour S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0c0475bd-dc03-4dba-a56f-19006991adba","Number":1,"Affiliation":"University of Montreal","City":"Saint-hyacinthe","State":"QC","Country":"Canada","AffiliationDisplay":"University of Montreal, Saint-hyacinthe QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0c0475bd-dc03-4dba-a56f-19006991adba","Number":2,"Affiliation":"Ministère de l’Agriculture des Pecheries et de l’Alimentation du Quebec","City":"Québec","State":"Québec","Country":"Canada","AffiliationDisplay":"Ministère de l’Agriculture des Pecheries et de l’Alimentation du Quebec, Québec Québec, Canada"}],"AuthorsHtml":"Um M1, Arsenault J1, Cote G2, Fecteau G1, Francoz D1, Dufour S1","AffiliationsHtml":"
1University of Montreal, Saint-hyacinthe QC, Canada
2Ministère de l’Agriculture des Pecheries et de l’Alimentation du Quebec, Québec Québec, Canada
"}],"DisplayName":"Maryse Michele Um","TimeDisplay":null},{"ContactId":"9cab8cf0-db5d-4523-a68d-d24f933819f9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Organization":"International Livestock Research Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/74bccc4b9d3746a7a87827e3adb83e18","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"[email protected]","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"[email protected]","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"http://[email protected]","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://[email protected]","Font":"fab fa-facebook-square","Color":"#3b5998"}],"Bio":"Fred Unger is a veterinarian for more than two decades of working experience in veterinary epidemiology and veterinary public health gained predominantly in developing/emerging countries of Africa and Southeast Asia (SEA). After graduation in veterinary medicine at the Humboldt University Berlin he joined a Postgraduate Seminar for Tropical Veterinary Medicine and Animal Health Management at the Freie Universität Berlin (FUB). He continued with his Doctoral degree/PhD which he received in March 2000 (FUB) doing research on tick borne diseases in dairy cattle in Uganda. From 2000 to 2005 he led the Consumer Safety and Public Health Unit at the International Trypanotolerance Centre (The Gambia). This was followed by a post doc position at the Institute for Epidemiology (Friedrich Loeffler Institute) in Germany being responsible for animal disease monitoring and outbreak response related to avian influenza and hog cholera. Since 2007 he works as a senior scientist for the International Livestock Research Institute (ILRI Thailand and Vietnam). Recent work in SEA focuses on risk assessments and management along traditional livestock value chains (Food borne diseases, AMR) and mentoring on One Health approaches. Since October 2020 Fred holds the position of the Regional Representative for East and SE Asia of ILRI in Hanoi. ","Presentations":[{"Title":"Safe Food Fair Food: A One Health project to improve food safety in Cambodia","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Html":null,"PlainText":"Objectives: The Safe Food Fair Food for Cambodia project was implemented by the International Livestock Research Institute in partnership with Cambodian and international partners. The project aimed to reduce the burden of foodborne disease in traditional markets.

Materials and methods: The project conducted the market survey, modelling analysis, risk profiling, intervention using a One Health approach and focusing on pork and poultry value chains and two key pathogens: Salmonella spp. and Staphylococcus aureus. The project conducted activities in traditional markets in 25 provinces across the country.

Results: The overall prevalence of Salmonella and S. aureus in 496 samples pork and chicken was found to be 43-45% and 29-38%, respectively. These findings show foodborne disease is a major public health issue in Cambodia. A cost-of-illness assessment used data from 266 cases of foodborne illness in Phnom Penh and Siem Reap collected from hospitals show that the cost of foodborne illness was US$ 63 per case. Quantitative microbial risk assessment estimated the risk of acquiring salmonellosis after consuming contaminated pork and chicken salad show that annual incidence rates of salmonellosis estimated from consuming chicken salad, pork salad and mixtures of chicken and pork salads were found to be 11%, 4% and 15%, respectively. A Randomized Controlled Trial intervention to improve food safety that included provision of equipment (US$ 20 per retailer) and training of pork sellers on good hygiene practices using the project’s handbook of five key actions was implemented. Intervention significantly reduced Salmonella prevalence in the trial group.

Conclusion: The project generated new evidence on health and economic burden of foodborne diseases in Cambodia and piloted low-cost interventions that improved food safety in traditional markets. We recommended to scale up this intervention to improve food safety in Cambodia.

Keywords: Food safety, informal markets, foodborne disease, intervention","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Title":"Mr.","FirstName":"Hung","LastName":"Nguyen-Viet","Position":"Co-leader, Animal And Human Health","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Nguyen-Viet H"},{"PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Title":"Dr.","FirstName":"Sothyra","LastName":"Tum","Position":"Director","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Tum S"},{"PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Title":"Mr.","FirstName":"Ty","LastName":"Chhay","Position":"Dr","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Chhay T"},{"PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Title":"Mr.","FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Unger F"},{"PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Title":"Dr","FirstName":"Melissa","LastName":"Young","Position":"Assistant Professor","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Young M"},{"PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Title":"Mr.","FirstName":"Rortana","LastName":"Chea","Position":"PhD student","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Chea R"},{"PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Title":"Dr","FirstName":"Sinh","LastName":"Dang-Xuan","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Dang-Xuan S"},{"PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Title":"Mrs.","FirstName":"Delia Grace","LastName":"Randolph","Position":"Professor","Affiliations":"5","IsPresenting":false,"SortOrder":8,"DisplayName":"Randolph D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Number":1,"Affiliation":"Animal and Human Health program, International Livestock Research Institute (ILRI)","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Animal and Human Health program, International Livestock Research Institute (ILRI), Nairobi Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Number":2,"Affiliation":"National Animal Health and Production Research Institute","City":"Phnom Penh","State":"Phnom Penh","Country":"Cambodia","AffiliationDisplay":"National Animal Health and Production Research Institute, Phnom Penh Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Number":3,"Affiliation":"Livestock Development for Community Livelihood Organization","City":"Phnom Penh, Cambodia","State":"Phnom Penh","Country":"Cambodia","AffiliationDisplay":"Livestock Development for Community Livelihood Organization, Phnom Penh, Cambodia Phnom Penh, Cambodia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Number":4,"Affiliation":"Department of Global Health, Rollins School of Public Health, Emory University","City":"Atlanta","State":"Georgia","Country":"USA","AffiliationDisplay":"Department of Global Health, Rollins School of Public Health, Emory University, Atlanta Georgia, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e9f48336-ca63-4ca0-b0d5-388822e8a238","Number":5,"Affiliation":"Natural Resources Institute, University of Greenwich","City":"Kent","State":"Kent ","Country":"United Kingdom ","AffiliationDisplay":"Natural Resources Institute, University of Greenwich, Kent Kent , United Kingdom "}],"AuthorsHtml":"Nguyen-Viet H1, Tum S2, Chhay T3, Unger F1, Young M4, Chea R2, Dang-Xuan S1, Randolph D5","AffiliationsHtml":"
1Animal and Human Health program, International Livestock Research Institute (ILRI), Nairobi Nairobi, Kenya
2National Animal Health and Production Research Institute, Phnom Penh Phnom Penh, Cambodia
3Livestock Development for Community Livelihood Organization, Phnom Penh, Cambodia Phnom Penh, Cambodia
4Department of Global Health, Rollins School of Public Health, Emory University, Atlanta Georgia, USA
5Natural Resources Institute, University of Greenwich, Kent Kent , United Kingdom
"},{"Title":"Assessing impacts of COVID-19 pandemic on animal source food retailers and consumers in Vietnam and Cambodia","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Html":null,"PlainText":"Objectives: The study aimed to assess the impact of COVID-19 pandemic on business activities and food safety practices of animal source food (ASF) retailers and consumers during the first wave of COVID-19 pandemic from February to April 2020 in Vietnam and Cambodia.
Materials and methods: This study was conducted as a cross-sectional study using a face-to-face interview, after the first wave of COVID-19 pandemic occurring in Vietnam and Cambodia. A total of 608 participants (n=300 ASF retailers and 308 consumers), represented both rural and peri-urban/urban areas, was included.
Results: Eighty-six percent (258/300) ASF retailers reported that their income deceased with average of 48.2%, 11% without changing, and 2.7% increased (by 32.5%) during the social distancing period. While 54.3% (163/300) reported their decreased income at 37.7%, 36.0% (108/300) without changing, and 9.3% increase (by 26.6%) after the first wave of COVID-19. There was no significant difference in income decrease between rural and peri-urban/urban sellers either during social (p=0.76, t.test) or after COVID-19 (p=0.53, t.test). During the social distancing, 27% retailers revealed it was more difficult to source ASF to sell but facilitated increasing food safety practice compliance. Seventy-four (228/308) consumers had income decreased from 20-35% mainly due to reduced jobs, no significant difference was observed between rural and urban consumers. Almost 80% of consumers agreed that they had better practices in looking for a good hygiene practice shop to buy ASF, washing hands and kitchen equipment as due to COVID-19 pandemic.
Conclusion: These findings suggest that COVID-19 pandemic affected negatively business activities and incomes of ASF retailers and consumers. However, food safety behaviours were improved. Relevant recommendations need to be formulated to support ASF retailing business and improve food safety practices of both retailers and consumers because of COVID-19.

Keywords: Hygiene practice, SARS-CoV2, Social distancing, Southeast Asia, Traditional market","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Title":"Dr.","FirstName":"Sinh","LastName":"Dang","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Dang S"},{"PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Title":"Dr.","FirstName":"Nga","LastName":"Nguyen-Thi-Duong","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Nguyen-Thi-Duong N"},{"PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Title":"Mr.","FirstName":"Ty","LastName":"Chhay","Position":"Dr","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Chhay T"},{"PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Title":"Dr.","FirstName":"Hung","LastName":"Pham-Van","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Pham-Van H"},{"PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Title":"Mr.","FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Unger F"},{"PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Title":"Mr.","FirstName":"Hung","LastName":"Nguyen-Viet","Position":"Co-leader, Animal And Human Health","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Nguyen-Viet H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Number":1,"Affiliation":"Animal and Human Health, International Livestock Research Institute","City":"Ba Dinh","State":"Hanoi","Country":"Vietnam","AffiliationDisplay":"Animal and Human Health, International Livestock Research Institute, Ba Dinh Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Number":2,"Affiliation":"Faculty of Economics and Rural Development, Vietnam National University of Agriculture","City":"Gia Lam","State":"Hanoi","Country":"Vietnam","AffiliationDisplay":"Faculty of Economics and Rural Development, Vietnam National University of Agriculture, Gia Lam Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"26a77bc2-b40e-4571-ae5a-ab8d70785e32","Number":3,"Affiliation":"Livestock Development for Community Livelihood Organization","City":"Phnom Penh","State":"Phnom Penh","Country":"Cambodia","AffiliationDisplay":"Livestock Development for Community Livelihood Organization, Phnom Penh Phnom Penh, Cambodia"}],"AuthorsHtml":"Dang S1, Nguyen-Thi-Duong N2, Chhay T3, Pham-Van H2, Unger F1, Nguyen-Viet H1","AffiliationsHtml":"
1Animal and Human Health, International Livestock Research Institute, Ba Dinh Hanoi, Vietnam
2Faculty of Economics and Rural Development, Vietnam National University of Agriculture, Gia Lam Hanoi, Vietnam
3Livestock Development for Community Livelihood Organization, Phnom Penh Phnom Penh, Cambodia
"},{"Title":"Food Safety Knowledge, Attitudes, Practices and Trust of Pork Consumers of Northern Vietnam","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"81b6468d-38a2-4f06-ba00-ba54f34eef5e","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"aede7561-ae09-427b-8301-880267314437","Html":null,"PlainText":"Objectives: Consumer demand for safe food has been defining the development of value chains. Demand is influenced by consumer knowledge, attitudes, and practices (KAP), governance and trust in the value chain among other factors. The study aimed to evaluate consumers KAP about food safety in selected pork value chains in Vietnam. Here we present KAP results being part of larger project on food safety interventions in pork retail in Northern Vietnam.
Materials and Methods: A food safety performance tool containing of three main pillars: safety, scalability and societal concerns was used to assess food safety KAP, trust and governance of 188 consumers randomly selected from different pork value chains (modern and traditional) in Hanoi, Hung Yen, Hoa Binh and Nghe An provinces using key informant interviews.
Results: Pork value chains are transitioning, with greater attention to consumer demands for safer products, yet some consumer misconceptions about food safety were observed with only little concern given to microbial contamination, the confirmed most important hazard from recent representative surveys. Proper attitudes on foodborne illness and applying good hygiene practices in households were obtained from interviewed participants. Whereas consumers overall have low trust in value chain actors, including those important for food safety (i.e., farmers and input suppliers), and highly ranked food safety responsibility of pig producers and government authorities. Trust was found higher in rural versus urban areas. Among communication channels, higher trust was placed in television news from the government while lower trust to social media.
Conclusions: To be competitive, pork value chains should focus on product differentiation, such as signalling good practices and organizing a shorter chain, including cooperatives model, with focus on product traceability. Government could support this process by implementing targeted communication about food safety to consumers and all chain actors.
Keywords: Foodsafety, KAP, trust, consumers, Vietnam

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"aede7561-ae09-427b-8301-880267314437","Title":"Dr.","FirstName":"Fred","LastName":"Unger","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Unger F"},{"PresentationId":"aede7561-ae09-427b-8301-880267314437","Title":"Dr","FirstName":"Nga ","LastName":"Nguyen-Thi-Duong","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Nguyen-Thi-Duong N"},{"PresentationId":"aede7561-ae09-427b-8301-880267314437","Title":"Dr ","FirstName":"Huyen ","LastName":"Le Thi","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Le Thi H"},{"PresentationId":"aede7561-ae09-427b-8301-880267314437","Title":"Dr ","FirstName":"Phuc ","LastName":"Pham Duc","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Pham Duc P"},{"PresentationId":"aede7561-ae09-427b-8301-880267314437","Title":"Dr","FirstName":"Sinh ","LastName":"Dang Xuan","Position":"Post Doc","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Dang Xuan S"},{"PresentationId":"aede7561-ae09-427b-8301-880267314437","Title":"Prof Dr ","FirstName":"Delia ","LastName":"Randolph ","Position":null,"Affiliations":"5,6","IsPresenting":false,"SortOrder":6,"DisplayName":"Randolph D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aede7561-ae09-427b-8301-880267314437","Number":1,"Affiliation":"International Livestock Research Institution ","City":"Hanoi","State":null,"Country":"Viet Nam","AffiliationDisplay":"International Livestock Research Institution , Hanoi, Viet Nam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aede7561-ae09-427b-8301-880267314437","Number":2,"Affiliation":"Vietnam National University of Agriculture","City":"Hanoi","State":null,"Country":"Viet Nam","AffiliationDisplay":"Vietnam National University of Agriculture, Hanoi, Viet Nam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aede7561-ae09-427b-8301-880267314437","Number":3,"Affiliation":"National Institute of Animal Science","City":"Hanoi","State":null,"Country":"Viet Nam","AffiliationDisplay":"National Institute of Animal Science, Hanoi, Viet Nam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aede7561-ae09-427b-8301-880267314437","Number":4,"Affiliation":"Hanoi University of Public Health","City":"Hanoi","State":null,"Country":"Viet Nam ","AffiliationDisplay":"Hanoi University of Public Health, Hanoi, Viet Nam "},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aede7561-ae09-427b-8301-880267314437","Number":5,"Affiliation":"International Livestock Research Institution","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"International Livestock Research Institution, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aede7561-ae09-427b-8301-880267314437","Number":6,"Affiliation":"Natural Resources Institute","City":"Greenwich","State":null,"Country":"United Kingdom","AffiliationDisplay":"Natural Resources Institute, Greenwich, United Kingdom"}],"AuthorsHtml":"Unger F1, Nguyen-Thi-Duong N2, Le Thi H3, Pham Duc P4, Dang Xuan S1, Randolph D5,6","AffiliationsHtml":"
1International Livestock Research Institution , Hanoi, Viet Nam
2Vietnam National University of Agriculture, Hanoi, Viet Nam
3National Institute of Animal Science, Hanoi, Viet Nam
4Hanoi University of Public Health, Hanoi, Viet Nam
5International Livestock Research Institution, Nairobi, Kenya
6Natural Resources Institute, Greenwich, United Kingdom
"},{"Title":"Seroprevalence and associated factors of trichinellosis in indigenous pigs and rural communities in Northern Vietnam","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Html":null,"PlainText":"Objectives: The study aim was to identify seroprevalence of trichinellosis and associated factors of both indigenous pigs and humans in Northern communities in Vietnam.
Materials and methods: A cross-sectional study was conducted in 2021 in ten communes in Bac Yen district (Son La province) and Bat Xat district (Lao Cai provinces). A total of 1,000 serum samples (500 indigenous pigs and 500 community participants) was collected and tested using a commercial ELISA test kit (Priocheck, ThermoFisher). Structure questionnaires were also used to interview selected pig owners and sampled community members regarding pig raising practice, eating behavior and disease knowledge and prevention.
Results: The result shows that seroprevalence of trichinellosis in indigenous pigs and humans were 9.0% (45/500, 95%CI: 6.7-11.9) and 13.4% (67/500, 95%CI: 10.6-16.8), respectively. Trichinella seroprevalence in human was significantly higher in Son La (16.7%) compared to in Lao Cai (8.5%), but not for seroprevalence in pigs. Factors associated with trichinellosis seroprevalence in human were raising pigs’ activities (p=0.029, Fisher test) and eating raw vegetable behavior (p=0.007, Chi-square test). While factors associated with trichinellosis seroprevalence in pigs were farmer’s knowledge about trichinellosis (p=0.033, Chi-squared test).
Conclusion: Seroprevalence in both pigs and humans in northern Vietnam were relatively high, especially in the endemic province, which suggested the possibility of Trichinella spp. circulation in the community and indigenous pigs. Animal and public health awareness for the northern communities and pig farmers, i.e., using One health approach, are necessary to improve prevention and control this disease.
Keywords: Trichinellosis, Pork-borne zoonosis, Parasite, Indigenous pigs, Northern Vietnam
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Title":"Dr.","FirstName":"Sinh","LastName":"Dang","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Dang S"},{"PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Title":"Dr.","FirstName":"Nga","LastName":"Vu-Thi","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Vu-Thi N"},{"PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Title":"Dr.","FirstName":"Dung","LastName":"Do-Trung","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Do-Trung D"},{"PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Title":"MSc.","FirstName":"Trang","LastName":"Le-Thi-Huyen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Le-Thi-Huyen T"},{"PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Title":"Dr.","FirstName":"Ngoc","LastName":"Pham-Thi","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Pham-Thi N"},{"PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Title":"Mr.","FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Unger F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Number":1,"Affiliation":"International Livestock Research Institute","City":"Ba Dinh","State":"Hanoi","Country":"Vietnam","AffiliationDisplay":"International Livestock Research Institute, Ba Dinh Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Number":2,"Affiliation":"National Institute of Veterinary Research","City":"Dong Da","State":"Hanoi","Country":"Vietnam","AffiliationDisplay":"National Institute of Veterinary Research, Dong Da Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"41af0c04-269d-4dd0-a0c4-2603aa364177","Number":3,"Affiliation":"National Institute of Malaria, Parasitology, and Entomology","City":"Nam Tu Liem","State":"Hanoi","Country":"Vietnam","AffiliationDisplay":"National Institute of Malaria, Parasitology, and Entomology, Nam Tu Liem Hanoi, Vietnam"}],"AuthorsHtml":"Dang S1, Vu-Thi N2, Do-Trung D3, Le-Thi-Huyen T1, Pham-Thi N2, Unger F1","AffiliationsHtml":"
1International Livestock Research Institute, Ba Dinh Hanoi, Vietnam
2National Institute of Veterinary Research, Dong Da Hanoi, Vietnam
3National Institute of Malaria, Parasitology, and Entomology, Nam Tu Liem Hanoi, Vietnam
"},{"Title":"The first large scale RCT in Cambodia animal sourced food systems: rationale and process","Bio":"Fred Unger is a veterinarian for more than two decades of working experience in veterinary epidemiology and veterinary public health gained predominantly in developing/emerging countries of Africa and Southeast Asia (SEA). After graduation in veterinary medicine at the Humboldt University Berlin he joined a Postgraduate Seminar for Tropical Veterinary Medicine and Animal Health Management at the Freie Universität Berlin (FUB). He continued with his Doctoral degree/PhD which he received in March 2000 (FUB) doing research on tick borne diseases in dairy cattle in Uganda. From 2000 to 2005 he led the Consumer Safety and Public Health Unit at the International Trypanotolerance Centre (The Gambia). This was followed by a post doc position at the Institute for Epidemiology (Friedrich Loeffler Institute) in Germany being responsible for animal disease monitoring and outbreak response related to avian influenza and hog cholera. Since 2007 he works as a senior scientist for the International Livestock Research Institute (ILRI Thailand and Vietnam). Recent work in SEA focuses on risk assessments and management along traditional livestock value chains (Food borne diseases, AMR) and mentoring on One Health approaches. Since October 2020 Fred holds the position of the Regional Representative for East and SE Asia of ILRI in Hanoi. ","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"53d14c51-98b9-4e1e-86cb-ea478421e8a6","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"13_Special Session Part 2: Randomized control trials and the reality of impact evaluations","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"708d3a7b-a89a-4433-b5ad-a5cd81a3e3c7","Html":null,"PlainText":"Objectives: The aim of the abstract is to share rationale, processes, experiences including challenges made during the implementation of a RCT to improve food safety in traditional pork retail in Cambodia.
Material and methods:
The RCT was part of an operational research conducted under the framework of the Safe Food Fair Food Cambodia Project implemented by the International Livestock Research Institute in partnership with Cambodian and international partners. It is considered as the first large scale RCT in Cambodia animal sourced food systems. The RCT was implemented across six provinces, each province two control and treatment markets and up to fifteen retailers per selected market.
Results:
The RCT was designed over a period of approximately six months. This included an in-depth participatory diagnostic with national partners on feasible intervention, selection of provinces and markets, required training and staff needed. In consecutive steps training materials were designed, low-cost equipment agreed and procured (value 25-30 USD). Implementers at provincial level included market managers and local veterinary services. In each of the six province 6-8 local staff was identified consisting of market manager and vets in addition to members of the research team. The RCT was conducted over a period of 6 weeks, this included training, observations of hygienic practice and use of hygienic indicators. Challenges included variations of markets in terms infrastructure, limited information of operating retailers per market and some delayed analysis of RCT results.
Conclusions:
Important for the success of the RCT (significant hygienic improvements) was the profound preparation (participatory diagnostic) and dedicated support of local authorities prior and throughout the trail. Intervention packages were taken up by national authorities in form of modified guidelines.
Keywords: RCT, informal markets, foodborne disease, intervention
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"708d3a7b-a89a-4433-b5ad-a5cd81a3e3c7","Title":"Mr.","FirstName":"Fred","LastName":"Unger","Position":"Reg Rep Ilri East & Se Asia","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Unger F"},{"PresentationId":"708d3a7b-a89a-4433-b5ad-a5cd81a3e3c7","Title":"Dr.","FirstName":"Sothyra","LastName":"Tum","Position":"Director","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Tum S"},{"PresentationId":"708d3a7b-a89a-4433-b5ad-a5cd81a3e3c7","Title":"Mr.","FirstName":"Rortana","LastName":"Chea","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Chea R"},{"PresentationId":"708d3a7b-a89a-4433-b5ad-a5cd81a3e3c7","Title":"Dr.","FirstName":"Sinh","LastName":"Dang Xuan","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Dang Xuan S"},{"PresentationId":"708d3a7b-a89a-4433-b5ad-a5cd81a3e3c7","Title":"Mr.","FirstName":"Hung","LastName":"Nguyen-Viet","Position":"Co-leader, Animal And Human Health","Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Nguyen-Viet H"},{"PresentationId":"708d3a7b-a89a-4433-b5ad-a5cd81a3e3c7","Title":"Dr","FirstName":"Chhay","LastName":"Ty","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":6,"DisplayName":"Ty C"},{"PresentationId":"708d3a7b-a89a-4433-b5ad-a5cd81a3e3c7","Title":"Dr","FirstName":"Delia","LastName":"Randolph","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":7,"DisplayName":"Randolph D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"708d3a7b-a89a-4433-b5ad-a5cd81a3e3c7","Number":1,"Affiliation":"International Livestock Research Institute","City":"Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"International Livestock Research Institute, Hanoi, Vietnam"}],"AuthorsHtml":"Unger F1, Tum S, Chea R, Dang Xuan S, Nguyen-Viet H, Ty C, Randolph D","AffiliationsHtml":"
1International Livestock Research Institute, Hanoi, Vietnam
"}],"DisplayName":"Fred Unger","TimeDisplay":null},{"ContactId":"25e5caa3-afdd-4b25-8e95-35abe44be78b","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Natalia","LastName":"Uribe Corrales","Position":"Professor","Organization":"Corporación Universitaria Lasallista","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"EMPOWERING HIGH SCHOOL STUDENTS IN MEDELLÍN-COLOMBIA ABOUT ZOONOTIC DISEASES FROM PETS","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"fd0f1bfe-0a69-48fe-be8f-056c3948f7df","Html":null,"PlainText":"Abstract: The “One Health” concept is a global strategy that recognizes that public health is related to animal health and the environment; however, the role of companion animals and their involvement in the transmission of zoonoses is often underestimated. Objective: To evaluate the knowledge, practices, and attitudes of high school students from Medellín, Colombia, regarding zoonotic diseases from pets. Methods: A quasi-experimental intra-subject study was carried out. This study was conducted with 11th-grade students from 4 schools located in Medellín, Colombia. A structured multiple-choice questionnaire was used from March 2021 to May 2021. The research had two phases, first, \"naive\" knowledge and learning. Then, descriptive, association, and comparative analysis were carried out using absolute and relative frequencies, Pearson's Chi-square test, and MacNemar's test with a value of p <0.05 considered statistically significant.
Results: We contacted four private schools and a total of 315 students. Some inappropriate practices were found, such as feeding pets with raw or table scraps; not knowing how often pets are vaccinated and dewormed; having oral contact with pets. A low percentage of students had correct knowledge about the symptoms, the route of transmission, and the preventive measures of zoonoses in pets. No association was found between demographic variables, attitudes and practices, and knowledge of zoonoses. After the educational strategy, global knowledge increased; thus, the academic approach was practical, having statistical significance in improving their expertise in recognizing symptoms, route of transmission, and preventive measures (p = 0.00).
Conclusion: The use of the theoretical lecture is effective in understanding the concept of transmission of conditions that can be transmitted from animals to humans, in addition we observed a positive impact, mainly improving on the knowledge related to symptoms, transmission routes, and preventive measures of zoonotic disease in high school students.
Keywords: Cats, dogs, education, zoonoses
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fd0f1bfe-0a69-48fe-be8f-056c3948f7df","Title":"Miss","FirstName":"Natalia","LastName":"Uribe Corrales","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Uribe Corrales N"},{"PresentationId":"fd0f1bfe-0a69-48fe-be8f-056c3948f7df","Title":"Miss","FirstName":"Angie Lorena","LastName":"Navarro Giraldo","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Navarro Giraldo A"},{"PresentationId":"fd0f1bfe-0a69-48fe-be8f-056c3948f7df","Title":"Miss","FirstName":"Karen","LastName":"Velásquez Giraldo","Position":"Student","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Velásquez Giraldo K"},{"PresentationId":"fd0f1bfe-0a69-48fe-be8f-056c3948f7df","Title":"Miss","FirstName":"Catalina María","LastName":"Saldarriaga Garcés","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Saldarriaga Garcés C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fd0f1bfe-0a69-48fe-be8f-056c3948f7df","Number":1,"Affiliation":"Corporación Universitaria Lasallista","City":"Medellín","State":"Antioquia","Country":"Colombia","AffiliationDisplay":"Corporación Universitaria Lasallista, Medellín Antioquia, Colombia"}],"AuthorsHtml":"Uribe Corrales N1, Navarro Giraldo A1, Velásquez Giraldo K1, Saldarriaga Garcés C1","AffiliationsHtml":"
1Corporación Universitaria Lasallista, Medellín Antioquia, Colombia
"},{"Title":"Colombian Creole horse: Prevalence of oral and motor stereotypes","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"a6d94199-29db-4454-aece-a56a5f0c006d","Html":null,"PlainText":"Introduction: The current housing of horses has severe restrictions on locomotion, and feeding is a combination of high-energy concentrates and relatively little forage, potentially leading to some motor or oral stereotypies. Objective: The study reported the frequency of stereotypies in Colombian Creole horses in Girardota and some associated risk factors. Materials and methods: A prospective cross-sectional study was carried out in 2019 - 2020. One hundred two equines older than 28 months barned participated. A questionnaire was made to know the horses' daily barn routine. The horses were observed twice a day for two hours during three consecutive days to record information related to stereotypes. The chi-square test and the U Mann Whitney test were performed. Associations were considered statistically significant at a P< 0.05. Results: 32.35% of the horses presented at least one stereotype. The most common was cribbing, 17.65%. Age, weight, gender, type of feeding, visual contact between horses and natural lighting were associated with oral stereotypies. Cribbing was more common in young horses (U 1.36; p≤0.05); wind sucking more common in lighter animals (U 1.45; p= 0.01), tongue-tie more usual in stallions (X2 9.10; p≤0.01), feeding with bran, molasses and gopher, did not have visual contact and did not have natural lighting were associated with pica (X2 9.52; p≤0.02: X2 3.72; p≤0.05 and X2 3.72; p≤0.05 respectively). On motor stereotypies, kicking the wall was usual in young animals (U 1.54; p=0.03) and walking in circles in lactating mares (X2 13.20; p≤0.02).
Conclusion: Horses' housing conditions in our study had several risk factors. All these factors resulted in a higher frequency of stereotypes. Establishing risk factors for the presentation of abnormal behaviours will allow the implementation of good management practices in the production systems of the Creole Colombian horse and improve their welfare. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"a6d94199-29db-4454-aece-a56a5f0c006d","Title":"Miss","FirstName":"Natalia","LastName":"Uribe Corrales","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Uribe Corrales N"},{"PresentationId":"a6d94199-29db-4454-aece-a56a5f0c006d","Title":"Mister","FirstName":"Jhonny Alberto","LastName":"Buitrago Mejía","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Buitrago Mejía J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a6d94199-29db-4454-aece-a56a5f0c006d","Number":1,"Affiliation":"Corporación Universitaria Lasallista","City":"Medellín","State":"Antioquia","Country":"Colombia","AffiliationDisplay":"Corporación Universitaria Lasallista, Medellín Antioquia, Colombia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"a6d94199-29db-4454-aece-a56a5f0c006d","Number":2,"Affiliation":"Corporación Universitaria Lasallista","City":"Medellín","State":"Antioquia","Country":"Colombia","AffiliationDisplay":"Corporación Universitaria Lasallista, Medellín Antioquia, Colombia"}],"AuthorsHtml":"Uribe Corrales N1, Buitrago Mejía J2","AffiliationsHtml":"
1Corporación Universitaria Lasallista, Medellín Antioquia, Colombia
2Corporación Universitaria Lasallista, Medellín Antioquia, Colombia
"}],"DisplayName":"Natalia Uribe Corrales","TimeDisplay":null},{"ContactId":"74a07ee3-6bb7-484c-95fb-33fcd75a884c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tamaki","LastName":"Uyama","Position":"","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A cross-sectional study on antimicrobial use and calf management practices in Canadian pre-weaned dairy calves","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Html":null,"PlainText":"The objective of this study was to estimate antimicrobial use and investigate the relationship with calf management practices in pre-weaned heifer calves on Canadian dairy farms. This study was part of a multi-year project (Canadian Dairy Network for Antimicrobial Stewardship and Resistance). A convenience sample of 147 dairy farms across 5 provinces were visited to administer a questionnaire and collect calf health records. Questions focused on herd demographics and calf management practices. Calf records were retrieved from electronic and paper records. Antimicrobial treatments were obtained from heifer calves up to 60 d of age born in the last 12 months. For animals that left the herd, age at removal was used to calculate the number of days-at-risk. The defined daily doses (DDD)/calf-year was calculated for each antimicrobial class. In addition, the total number of antimicrobial treatments/calf-year was calculated for each farm and log-transformed as a dependent variable. A multivariable linear regression model was built to assess the relationship of calf management practices with the number of antimicrobial treatments/calf-year. A complete set of calf records was retrieved from 74 farms with 7,817 newborn calves, including 2,310 calves treated with antimicrobials. Among the total of 7,307 antimicrobial treatments, florfenicol (33%), penicillin (23%), and trimethoprim-sulfamethoxazole (18%) were most used, whereas fluoroquinolones (4%) and ceftiofur (1%) were rarely used. Florfenicol and macrolides (175 DDD/100 calf-years each) were most used with ceftiofur (7.3 DDD/100 calf-years) being the least. Farmers who checked colostrum quality had higher antimicrobial treatments/calf-year than those who did not check the quality. Farmers who did not feed transition milk had higher antimicrobial treatments/calf-year than those who fed transition milk to calves. Most antimicrobial treatments of pre-weaned calves used drugs in categories 2 (high) and 3 (medium) but not very high importance to human medicine.
Keywords: transition milk, heifer","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Title":"Ms.","FirstName":"Tamaki","LastName":"Uyama","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Uyama T"},{"PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Title":"Dr.","FirstName":"David","LastName":"Renaud","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Renaud D"},{"PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Barkema H"},{"PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Title":"Prof.","FirstName":"Simon","LastName":"Dufour","Position":"Professor of Epidemiology","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Dufour S"},{"PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Title":"Mr.","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Sanchez J"},{"PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Title":"Dr.","FirstName":"David","LastName":"Kelton","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Kelton D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Number":1,"Affiliation":"Department of Population Medicine, OVC, University of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Department of Population Medicine, OVC, University of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Number":2,"Affiliation":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary Alberta, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Number":3,"Affiliation":"Faculté de médecine vétérinaire, Université de Montréal","City":"St-Hyacinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Faculté de médecine vétérinaire, Université de Montréal, St-Hyacinthe Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"1ad4814f-fbd7-4147-a5a0-368d10c1a21c","Number":4,"Affiliation":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island","City":"Charlottetown","State":"Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown Prince Edward Island, Canada"}],"AuthorsHtml":"Uyama T1, Renaud D1, Barkema H2, Dufour S3, Sanchez J4, Kelton D1","AffiliationsHtml":"
1Department of Population Medicine, OVC, University of Guelph, Guelph Ontario, Canada
2Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary Alberta, Canada
3Faculté de médecine vétérinaire, Université de Montréal, St-Hyacinthe Québec, Canada
4Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown Prince Edward Island, Canada
"}],"DisplayName":"Tamaki Uyama","TimeDisplay":null},{"ContactId":"8dbbed2b-b589-4897-85f6-332c4190ab39","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Pablo","LastName":"Valdes-Donoso","Position":"Assistant Professor","Organization":"Universite de Montreal","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Combining epidemiology and economics to assess control from a viral endemic and nonreportable animal disease: the Porcine Reproductive Respiratory Syndrome (PRRS)","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"7346e8bb-cb44-4226-806d-b3ebd0891451","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"aafc5aa6-7379-4fea-a1d4-b00a5a4fdf82","Html":null,"PlainText":"Objectives: We analyzed how increasing vaccination of different efficacies in sow farms reduces PRRS losses and whether it is profitable.

Material and methods: We developed a SIR model with heterogeneous parameters to simulate the spread of PRRS outbreaks between and within swine farms located in a region of Minnesota. We simulated the disease spread caused by viral strains of different virulence. We converted estimated mortality and morbidity losses on individual farms into economic losses. Assuming different vaccine efficacies, we calculated vaccination benefits as the difference between farm losses with and without vaccination.

Results: If vaccination obeys solely on individual willingness to vaccinate, our simulations indicate that vaccine benefits are heterogeneous and vary significantly by the farm, vaccine efficacy, and the expected level of virus virulence. When vaccine efficacy is assumed to be 50%, less than half of sow farms would vaccinate if each were vaccinating in isolation, even if expecting a highly virulent strain. However, we found that increasing collective vaccination of sow farms raises the private profitability of vaccination for nearly all vaccinating farms and conveys benefits to non-vaccinating farms. We also found that although vaccination reduces sector losses, large losses from PRRS remain.

Conclusions: Our analysis suggests that vaccination may be economically attractive to reduce damages from the PRRS virus. More importantly, the presence of strong positive external effects suggests that an industry-coordinated strategy might further reduce disease losses. These results can provide useful insights into the dynamics of endemic animal disease and the benefits of different vaccination regimes within a region.

Keywords: PRRS, control endemic disease, private and social economic optimum, disease transmission model","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"aafc5aa6-7379-4fea-a1d4-b00a5a4fdf82","Title":"Prof.","FirstName":"Pablo","LastName":"Valdes-Donoso","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Valdes-Donoso P"},{"PresentationId":"aafc5aa6-7379-4fea-a1d4-b00a5a4fdf82","Title":"Dr.","FirstName":"Tu","LastName":"Jarvis","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Jarvis T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aafc5aa6-7379-4fea-a1d4-b00a5a4fdf82","Number":1,"Affiliation":"Faculté de Médecine Vétérinaire, Université de Montréal","City":"Montreal","State":"QC","Country":"Canada","AffiliationDisplay":"Faculté de Médecine Vétérinaire, Université de Montréal, Montreal QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"aafc5aa6-7379-4fea-a1d4-b00a5a4fdf82","Number":2,"Affiliation":"Department of Agricultural and Resource Economics, University of California Davis","City":"Davis","State":"CA","Country":"United States","AffiliationDisplay":"Department of Agricultural and Resource Economics, University of California Davis, Davis CA, United States"}],"AuthorsHtml":"Valdes-Donoso P1, Jarvis T2","AffiliationsHtml":"
1Faculté de Médecine Vétérinaire, Université de Montréal, Montreal QC, Canada
2Department of Agricultural and Resource Economics, University of California Davis, Davis CA, United States
"},{"Title":"Using machine learning to predict swine movements with application to the control of infectious diseases","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Html":null,"PlainText":"Objectives: We summarized frequency and distance of movements within two partial networks of swine farms and markets from two counties in Minnesota and used that information to predict a network in a larger region for which a voluntary swine disease control program has been implemented.

Material and methods: A machine learning technique, referred to as Random Forest, was used to estimate the probability of pig movements between farms and/or market sites located in two counties in MN. Once the model was calibrated and tested, we used it to predict animal movements in sites located across 34 Minnesota counties.

Results: Agreement between observed and expected movements in the model was maximized using a 0.85 probability threshold. Variables that were important in predicting pig movements included distance between sites, ownership, and production type of the origin and destination. Using a weighted-Kernel approach to describe spatial variation in centrality measures of the predicted network, we also show that the south-central region of the study area exhibited high spatial-aggregation of pig entries and exits. This area also seemed to be a hot spot for some swine diseases, which would be expected for an area engaging in large quantities of animal movements.

Conclusions: The information provided here will help to design and implement control strategies in the region. Additionally, the methodology here may be used to estimate contact networks for other livestock systems when only incomplete information is available.

Keywords: US swine industry, pig movements, regional control programs, Random Forest, social network analysis.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Title":"Mr.","FirstName":"Pablo","LastName":"Valdes-Donoso","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Valdes-Donoso P"},{"PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Title":"Mrs.","FirstName":"Kimberly","LastName":"Vanderwaal","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Vanderwaal K"},{"PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Title":"Dr.","FirstName":"Tu","LastName":"Jarvis","Position":"Professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Jarvis T"},{"PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Title":"Dr","FirstName":"Spencer","LastName":"Wayne","Position":"Veterinarian","Affiliations":"4","IsPresenting":false,"SortOrder":4,"DisplayName":"Wayne S"},{"PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Title":"Prof","FirstName":"Andres","LastName":"Perez","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Perez A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Number":1,"Affiliation":"Faculté de Médecine Vétérinaire, Université de Montréal","City":"Montreal","State":"QC","Country":"Canada","AffiliationDisplay":"Faculté de Médecine Vétérinaire, Université de Montréal, Montreal QC, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Number":2,"Affiliation":"Department of Veterinary Population Medicine, University of Minnesota","City":"St. Paul","State":"MN","Country":"United States","AffiliationDisplay":"Department of Veterinary Population Medicine, University of Minnesota, St. Paul MN, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Number":3,"Affiliation":"Department of Agricultural and Resource Economics, University of California Davis","City":"Davis","State":"CA","Country":"United States","AffiliationDisplay":"Department of Agricultural and Resource Economics, University of California Davis, Davis CA, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"400c3b9e-e202-4515-b313-4de6407a27af","Number":4,"Affiliation":"Pipestone, Veterinary Service","City":"Pipestone","State":"MN","Country":"United States","AffiliationDisplay":"Pipestone, Veterinary Service, Pipestone MN, United States"}],"AuthorsHtml":"Valdes-Donoso P1, Vanderwaal K2, Jarvis T3, Wayne S4, Perez A2","AffiliationsHtml":"
1Faculté de Médecine Vétérinaire, Université de Montréal, Montreal QC, Canada
2Department of Veterinary Population Medicine, University of Minnesota, St. Paul MN, United States
3Department of Agricultural and Resource Economics, University of California Davis, Davis CA, United States
4Pipestone, Veterinary Service, Pipestone MN, United States
"}],"DisplayName":"Pablo Valdes-Donoso","TimeDisplay":null},{"ContactId":"c2e6c8c4-bbd5-4260-b2b5-a3b1972a443e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Paul Steinar","LastName":"Valle","Position":"Researcher","Organization":"Paul Steinar Valle","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/5ad74912481c4180bdafc0f52c4ef762","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"The potential in improved disease handling in Norwegian Salmon Aquaculture","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"3e841151-07a6-4186-ba92-ee1d732d7473","Html":null,"PlainText":"Objective(s)
Here we study an investment in improved Pancreas Disease (PD) vaccination of Atlantic salmon smolts. Based on AquaTools (a simulation tool) and information from recent publications, the effects of PD vaccinations is simulated. PD have reduced occurrence in Norway in 2021 compared to prior years (National Fish Health Report), and potentially due to vaccines that are more efficient. The current work relates to a task given by the Global Burden of Animal Diseases (GBADs) program.

Materials and methods
Through simulations in AquaTools, we compare two cases in a fictive company with 70 sea production licenses (Norway counting about 1000 of these). We simulate (based on referenced literature/studies) the effects of reported improvements in Thermal Growth Coefficient (TGC), biologic Feed Conversion Ratio (bFCR), losses (mortality) by month and altered downgrading and discharge at slaughter, as an effect of the studied vaccine. In addition, a higher average sales price due to the reasons mentioned above.

Results
In cases where a fictive salmon farmer invests 4,- NOK more in vaccination per smolt in a company of 70 licenses, the profitability increases on average with 700 mill NOK (74 Mill USD) and about 9 thousand tonnes more salmon Head on Gutted (HOG) is produced and 1.2 million more animals (salmons) survive to slaughter. Of course, these figures comes from a stochastic reality, and we assign simple measures for uncertainty and/or variation to key input parameters using @Risk.

Conclusion
The investment in healthier smolts through improved vaccination, pays off for the farmer, reduces mortality and converts more of the feed used into edible fish meat (proteins). Thus, the simulation strongly indicates a significant reduction in burden of animal diseases when applying improved diseases handling, in this case improved vaccination.

Keywords: Disease control, Vaccination, Atlantic Salmon, Economics, Welfare","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"3e841151-07a6-4186-ba92-ee1d732d7473","Title":"Mr.","FirstName":"Paul Steinar","LastName":"Valle","Position":"Researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Valle P"},{"PresentationId":"3e841151-07a6-4186-ba92-ee1d732d7473","Title":"Mr.","FirstName":"Tarique","LastName":"Mahmud","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Mahmud T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"3e841151-07a6-4186-ba92-ee1d732d7473","Number":1,"Affiliation":"Spillfree Analysis AS","City":"Trondheim","State":"Trøndelag","Country":"Norway","AffiliationDisplay":"Spillfree Analysis AS, Trondheim Trøndelag, Norway"}],"AuthorsHtml":"Valle P1, Mahmud T1","AffiliationsHtml":"
1Spillfree Analysis AS, Trondheim Trøndelag, Norway
"}],"DisplayName":"Paul Steinar Valle","TimeDisplay":null},{"ContactId":"71d9f3cf-7816-45b4-b629-772cb695c6be","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Thomas","LastName":"Van Boeckel","Position":"Professor","Organization":"ETH Zurich","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Mapping the global distribution of veterinarians to improve diseases surveillance.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c3da4b58-e0d3-444a-9da4-234629371ecf","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.A - Capacity building in national veterinary service","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"9db45565-e24a-4e32-b79e-b8d88b651a77","Html":null,"PlainText":"Objective
Infectious diseases are a growing threat to the health of humans and animals. For humans, numerous infectious diseases, and medical capacities to respond to them have been mapped at a sub-national scale. This has helped improve health systems locally, and target surveillance efforts. In contrast, in animals, information on the geographic distribution of veterinarians is seldom and heterogeneous between countries, and a globally harmonized map of veterinarians is still lacking. Here we attempt to fill this gap: we mapped veterinarians densities using a geospatial model that combines open data on their location with socioeconomic covariates.

Materials and Methods
We used web-scraping to retrieve the addresses of 190,000 veterinarians from 181 countries who were registered on online platforms, phonebooks, union registries, as well as in the OpenStreetMap. We identified candidate covariates associated with veterinarian location including population density, gross domestic product, travel time to cities, pastures density, yearly minimum monthly temperature, as well as cattle, chicken, and pig densities. An inhomogeneous log-Gaussian Cox process was used to predict the number of veterinarians at 10x10 kilometres globally. Model were fitted using Integrated Nested Laplace Approximation to incorporate uncertainty in the spatial predictions.

Results
We produced a global grid of veterinarian density at 10x10 km (vetmap). In Europe, the comparison of the grid with maps of animal densities, enabled the identification of “coldspots” of veterinarian density that could have implication for disease detection. Covariates that were strongly predictive of the density of veterinarians were human population density, gross domestic product, and animal densities.

Conclusions
The vetmap will be freely available at https://resistancebank.org, to support decision-makers to prioritize actions when allocating resources to develop veterinary capacities between regions.

Keywords: veterinarians; web-scraping; livestock; point patterns; surveillance; disease mapping
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9db45565-e24a-4e32-b79e-b8d88b651a77","Title":"Prof.","FirstName":"Thomas","LastName":"Van Boeckel","Position":"Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Van Boeckel T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9db45565-e24a-4e32-b79e-b8d88b651a77","Number":1,"Affiliation":"ETH Zurich","City":"Zurich","State":"Zurich","Country":"Switzerland","AffiliationDisplay":"ETH Zurich, Zurich Zurich, Switzerland"}],"AuthorsHtml":"Van Boeckel T1","AffiliationsHtml":"
1ETH Zurich, Zurich Zurich, Switzerland
"}],"DisplayName":"Thomas Van Boeckel","TimeDisplay":null},{"ContactId":"1b188724-c531-42a7-993e-111cb4cbf176","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gerdien","LastName":"van Schaik","Position":"Epidemiologist","Organization":"GD / UU","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4dfb6737047d4732b20b9b3a840a0d80","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Risk factors for BVDV introduction into Dutch dairy herds in a national control programme","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"791f6711-f679-4a3f-a672-0c7df75e4923","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Html":null,"PlainText":"After many years of voluntary control and decreasing prevalence, a national control programme for bovine viral diarrhoea virus (BVDV) is in place for Dutch dairy herds since 2018. Introduction of BVDV is minimized by regulations with respect to purchase of cattle from herds with a lower BVDV status. However, BVDV was introduced in several tens of herds in 2019-2021. The aim of the study was to determine risk factors for introduction of BVDV in the context of the national control programme.
In a case-control design, herds with a confirmed BVDV introduction (cases) were compared with control herds that were located near the case herd, which remained free of BVDV. Both case and control herds were visited by a veterinarian and an extensive questionnaire was applied about the possible risk factors for BVDV introduction in the previous two years. In total, 149 cases and 148 controls were visited. Logistic regression analysis was carried out to determine the significant risk factors (P<0.05).
The final multivariable model consisted of seven risk factors. Purchasing cattle from non-free herds (OR=1.25) and cattle from other herds that escaped and mingled with cattle from the own herd (OR=1.16) were risk factors related to direct animal contact. Risk factors for indirect external contact were distance of less than 500m to beef cattle herds (OR=1.15), a permanent employee (OR=1.17), and the farmer working outside the farm in other cattle herds (OR=1.25). Risk factors that seemed more related to internal biosecurity were housing of adult cattle and calves in the same barn (OR=1.22) and use of a group pen for calving (OR=1.16).
In conclusion, the risk factors for introduction of BVDV in free herds varied considerable between herds and had fairly low odds, indicating that there were many smaller biosecurity risks that need to be mitigated.

BVDV, biosecurity, control programme","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Title":"Prof.","FirstName":"Gerdien","LastName":"Van Schaik","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Van Schaik G"},{"PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Title":null,"FirstName":"Irene","LastName":"Bisschop","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Bisschop I"},{"PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Title":null,"FirstName":"Jet","LastName":"Mars","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Mars J"},{"PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Title":null,"FirstName":"Linda","LastName":"van Duijn","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"van Duijn L"},{"PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Title":null,"FirstName":"Emma","LastName":"Strous","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Strous E"},{"PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Title":null,"FirstName":"Frederik","LastName":"Waldeck","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Waldeck F"},{"PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Title":null,"FirstName":"Paul","LastName":"Wever","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Wever P"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Number":1,"Affiliation":"Royal GD","City":"Deventer","State":"Overijssel","Country":"Netherlands","AffiliationDisplay":"Royal GD, Deventer Overijssel, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"15cad666-0798-463f-a617-8bbd9ab4e0cb","Number":2,"Affiliation":"Department of Population Health Sciences, Utrecht University","City":"Utrecht","State":null,"Country":"Netherlands","AffiliationDisplay":"Department of Population Health Sciences, Utrecht University, Utrecht, Netherlands"}],"AuthorsHtml":"Van Schaik G1,2, Bisschop I1, Mars J1, van Duijn L1, Strous E1, Waldeck F1, Wever P1","AffiliationsHtml":"
1Royal GD, Deventer Overijssel, Netherlands
2Department of Population Health Sciences, Utrecht University, Utrecht, Netherlands
"},{"Title":"A novel framework to assess confidence in freedom from infection of control programmes","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"677ed26f-338f-4e80-905f-512cdf9a7540","Html":null,"PlainText":"The aim of the STOC free project was to construct a generic framework, STOC free data and STOC free model, that allows a standardised and harmonised description of different control programmes (CP) for cattle diseases.
Bovine viral diarrhoea virus (BVDV) was chosen as the case disease because of the diversity in CPs in the six participating countries. STOC free data was designed for the collection of BVDV data. For STOC free model, a Bayesian hidden Markov model was considered the best modelling method.
Detailed BVDV CP information was collected and the key aspects for inclusion in the STOC free model were identified. The risk factors for BVDV infection that needed to be included in the model were defined and default values for these risk factors were quantified. A data collection tool was finalised with which the data for the STOC free model was collected. STOC free model was tested and validated with simulated data as well as face validated based on existing data originating from BVDV CP in 4 countries. Results showed high and comparable probabilities of freedom from BVDV in herds that participated in a BVDV control scheme based on ear notch testing. The developed STOC free model updates priors with monthly herd level BVDV test results, whereby animal level information must be aggregated to herd level input. The STOC free model is designed for endemic disease situations given that it needs some infections for parameter estimation and convergence. In a BVDV free country, a scenario tree model is a better suited tool to quantify freedom from infection.
The STOC free model can be used to evaluate and improve disease CPs and to determine whether a CP complies with output-based regulations of the EU.

Keywords: Output-based surveillance, control programmes, probability of freedom from infection, BVDV, cattle
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"677ed26f-338f-4e80-905f-512cdf9a7540","Title":"Prof.","FirstName":"Gerdien","LastName":"van Schaik","Position":"Epidemiologist","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"van Schaik G"},{"PresentationId":"677ed26f-338f-4e80-905f-512cdf9a7540","Title":null,"FirstName":null,"LastName":"Representing the STOC free consortium: A. Madouasse, A.M. va","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Representing the STOC free consortium: A. Madouasse, A.M. va"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"677ed26f-338f-4e80-905f-512cdf9a7540","Number":1,"Affiliation":"Department of population health sciences, Faculty of Veterinary Medicine, Utrecht University","City":"Utrecht","State":null,"Country":"Netherlands","AffiliationDisplay":"Department of population health sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"677ed26f-338f-4e80-905f-512cdf9a7540","Number":2,"Affiliation":"Royal GD","City":"Deventer","State":null,"Country":"Netherlands","AffiliationDisplay":"Royal GD, Deventer, Netherlands"}],"AuthorsHtml":"van Schaik G1,2, Representing the STOC free consortium: A. Madouasse, A.M. va","AffiliationsHtml":"
1Department of population health sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
2Royal GD, Deventer, Netherlands
"},{"Title":"Sound-control: stimulating output-based surveillance\r\n","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"48bac772-d4e9-41f2-8808-dda271cc6416","Html":null,"PlainText":"Several countries have implemented control programmes (CP) for endemic cattle infections such as BVD, IBR, Paratuberculosis, etc. These CPs are tailored to each country’s specific situation e.g. prevalence, demographics and risk behaviour resulting in large heterogeneity in CP design. There is a need for methods that enable objective and standardised comparison of outputs of differently designed CPs.

With the aim to stimulate so-called output-based surveillance methods, a COST Action named SOUND-control was initiated in 2018. In this Action more than 100 researchers from 33 countries collaborate in five different working groups (WG).

In the first WG, cattle diseases that are not listed as A or B in the AHL and for which CPs exist were mapped in a series of papers published in a dedicated issue of the Journal Frontiers in Veterinary Science. In WG2 a digital and open access data-collection tool was developed. The tool was applied to evaluate the availability and quality of data in the participating countries and to collect data on the case of Leukosis. In WG3 existing and new methods that can be applied for output-based surveillance were evaluated and the application of these methods were shared with the consortium members and beyond in training schools and workshops. WG4 focussed on future development and generating a research agenda. Finally, communication and disseminations were done by WG5 (www.sound-control.eu).

All results and materials are freely available and intent to support the movement towards output-based surveillance of cattle diseases in support of safe animal trade.

Key words: output-based surveillance, disease control, cattle
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"48bac772-d4e9-41f2-8808-dda271cc6416","Title":"Dr.","FirstName":"Inge","LastName":"Santman","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Santman I"},{"PresentationId":"48bac772-d4e9-41f2-8808-dda271cc6416","Title":"Prof.","FirstName":"Gerdien","LastName":"van Schaik","Position":"Epidemiologist","Affiliations":"1,2","IsPresenting":true,"SortOrder":2,"DisplayName":"van Schaik G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"48bac772-d4e9-41f2-8808-dda271cc6416","Number":1,"Affiliation":"Royal Gd","City":"Deventer","State":"Overijssel","Country":"Netherlands","AffiliationDisplay":"Royal Gd, Deventer Overijssel, Netherlands"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"48bac772-d4e9-41f2-8808-dda271cc6416","Number":2,"Affiliation":"Faculty of farm animal health, University of Utrecht","City":"Utrecht","State":"Utrecht","Country":"Netherlands","AffiliationDisplay":"Faculty of farm animal health, University of Utrecht, Utrecht Utrecht, Netherlands"}],"AuthorsHtml":"Santman I1, van Schaik G1,2","AffiliationsHtml":"
1Royal Gd, Deventer Overijssel, Netherlands
2Faculty of farm animal health, University of Utrecht, Utrecht Utrecht, Netherlands
"}],"DisplayName":"Gerdien van Schaik","TimeDisplay":null},{"ContactId":"f89b9354-fcdd-47ad-97b5-f09a98c3eed7","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kimberly","LastName":"Vanderwaal","Position":"Associate Professor","Organization":"University of Minnesota","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"My research aims to understand the dynamics of pathogen spread through animal populations, focusing on quantifying underlying drivers and overarching consequences of host and pathogen heterogeneity for disease transmission. By applying quantitative tools to elucidate and predict disease dynamics, the ultimate outcome of this research aims to facilitate data-informed decision making, enhance disease preparedness, and optimize surveillance and control measures.

","Presentations":[{"Title":"Quantifying FMDV dispersal along ecological and anthropogenic gradients using phylodynamic models","Bio":"My research aims to understand the dynamics of pathogen spread through animal populations, focusing on quantifying underlying drivers and overarching consequences of host and pathogen heterogeneity for disease transmission. By applying quantitative tools to elucidate and predict disease dynamics, the ultimate outcome of this research aims to facilitate data-informed decision making, enhance disease preparedness, and optimize surveillance and control measures.\r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"a8f4fbc4-425c-4b83-86dc-c07e4ef90ba5","Date":"2022-08-11T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"10_Special Session Part 2: Modelling Approaches to Support the Progressive Control & Eradication of Transboundary Animal Diseases, with a Focus on PPR & FMD","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"918989e7-19f8-483f-86c6-cfb978abc3ec","Html":null,"PlainText":"With increasing availability of sequence data from transboundary diseases, there is a growing need for tools to harness such data to test epidemiological hypotheses about disease spread in endemic settings. Here, we describe a modeling approach that quantifies how landscape factors influence where foot-and-mouth disease virus (FMDV) is likely to disperse on relatively fine spatial and temporal scales, as the ability to predict directionality of spread may help guide the application of interventions in the face of an outbreak. Using FMDV serotype O sequences recently collected from cattle across Uganda, we estimated FMDV spatial diffusion dynamics using a continuous phylogeographic model. Next, we investigated the impact of underlying landscape gradients (both ecological and anthropogenic) on viral dispersal using a resource gradient regression. Briefly, this novel approach conceptualizes branches in geo-referenced trees as movement vectors with an origin and destination. Landscape factors measured at the origin are compared to conditions at the observed destination relative to alterative destinations that the virus could have reached under the same space-time constraints. This allows us to quantify the tendency of the virus to disperse along landscape gradients. We found that mean dispersal velocity was 195 km/year (95%HPD = 128-858). Our analyses also found that FMDV circulation in Uganda tends to be maintained near livestock markets and in areas of high densities of humans and cattle. FMDV disperses outwards from areas near livestock markets, areas with high cattle density, and areas with infrequent droughts towards areas farther from markets, with lower cattle densities, and frequent droughts. Understanding how landscapes gradients determine the direction of viral dispersal allows disease response plans to better anticipate viral movement and more strategically tailor interventions. More generally, combining phylodynamic modeling with environmental data opens new lines of questions about the ecology of transboundary disease spread in endemic settings.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"918989e7-19f8-483f-86c6-cfb978abc3ec","Title":"Mrs.","FirstName":"Kimberly","LastName":"Vanderwaal","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Vanderwaal K"},{"PresentationId":"918989e7-19f8-483f-86c6-cfb978abc3ec","Title":"Dr.","FirstName":"Anna","LastName":"Munsey","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Munsey A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"918989e7-19f8-483f-86c6-cfb978abc3ec","Number":1,"Affiliation":"University Of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"University Of Minnesota, St. Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"918989e7-19f8-483f-86c6-cfb978abc3ec","Number":2,"Affiliation":"Centers for Disease Control and Prevention","City":"Atlanta","State":"GA","Country":"USA","AffiliationDisplay":"Centers for Disease Control and Prevention, Atlanta GA, USA"}],"AuthorsHtml":"Vanderwaal K1, Munsey A2","AffiliationsHtml":"
1University Of Minnesota, St. Paul MN, USA
2Centers for Disease Control and Prevention, Atlanta GA, USA
"},{"Title":"Temporal stability and risk factors for PRRSV spread in dynamic swine movement networks in the U.S.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"94617f04-cbfc-4385-a057-848894209411","Html":null,"PlainText":"Multi-site pig production in North America is characterized by dynamic farm contacts through animal movements which shape the risk and spread of Porcine Reproductive and Respiratory Syndrome virus type 2 (PRRSV2). Inferences from social network analysis (SNA) can inform the implementation of disease management strategies targeting highly connected farms.
We investigated the spread of a virulent sub-lineage of PRRSV2 (sub-lineage 1A [L1A]) and the temporal stability of pig movement networks in the US swine industry to estimate the contribution of animal movements to PRRSV2 spread and understand the structure of these dynamic networks.
Using temporal network autocorrelation modelling and SNA, we analyzed 282,807 animal movements from 2,724 farms and 1,761 PRRSV2 ORF5 sequences linked to 494 farms belonging to two production systems in a dense pig production area in the US, between 2014-17.
Networks stabilized after aggregating six months of movement data and using two-years-old data to identify target farms was as effective as using current data where simulated network fragmentation through vaccinating 10-15% of highly connected farms disrupted disease transmission. Conversely, random vaccination needed to include about 60% of the farms to achieve similar impact.
Primary and secondary farm contacts (2 steps away) of an L1A- positive farm increased the risk of PRRSV2 occurrence by 19 % and 23% (p <0.05), respectively. Additionally, vaccination on sow farms was associated with a 36% decrease in the risk of PRRSV2 occurrence in downstream farms (p=0.04).
Targeted disease management interventions, on superspreader farms identified from the six-month networks, can be reliably implemented to minimize disease spread with minimal stochastic variations in the networks. Using historical network data ≤ 24 months old is better for targeted intervention than random intervention. Additionally, vaccinations on sow farms have a carry-over effect on L1A occurrence in downstream farms.

Keywords: Outbreak risk; historical animal movements; Time-varying exposure
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"94617f04-cbfc-4385-a057-848894209411","Title":"Dr.","FirstName":"Dennis","LastName":"Makau","Position":"Post-doctoral researcher","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Makau D"},{"PresentationId":"94617f04-cbfc-4385-a057-848894209411","Title":"Dr.","FirstName":"Igor","LastName":"Paploski","Position":"Post-doctoral researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Paploski I"},{"PresentationId":"94617f04-cbfc-4385-a057-848894209411","Title":"Dr.","FirstName":"Cesar","LastName":"Corzo","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Corzo C"},{"PresentationId":"94617f04-cbfc-4385-a057-848894209411","Title":"Mrs.","FirstName":"Kimberly","LastName":"Vanderwaal","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":4,"DisplayName":"Vanderwaal K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94617f04-cbfc-4385-a057-848894209411","Number":1,"Affiliation":"Department of Veterinary Population Medicine, University Of Minnesota","City":"St. Paul","State":"MN","Country":"USA","AffiliationDisplay":"Department of Veterinary Population Medicine, University Of Minnesota, St. Paul MN, USA"}],"AuthorsHtml":"Makau D1, Paploski I1, Corzo C1, Vanderwaal K1","AffiliationsHtml":"
1Department of Veterinary Population Medicine, University Of Minnesota, St. Paul MN, USA
"},{"Title":"Using phylogeography as a proxy for population connectivity for spatial modeling of outbreak data for foot and mouth disease outbreaks in Vietnam","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"9404666d-fc4b-4fd8-8838-19254ba86308","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Html":null,"PlainText":"Foot-and-mouth disease virus (FMDV) is endemic in South East Asia (SEA), and Vietnam’s central location makes it a hub for animal movements. However, a lack of data on livestock movement and population connectivity hinders the application of space-time regression models that inform disease control. Bayesian spatio-temporal regression models are used to identify risk factors and delineate high-risk areas for infectious diseases. In these models, structured, unstructured spatial and temporal effects account for various forms of non-independence amongst case counts reported in the spatial units. For highly mobile livestock populations across SEA, spatial adjacency is an imperfect measure of connectivity. It may be possible to use phylogeographic models to infer routes of viral dissemination across a region, with model outputs serving as a proxy for historical patterns of host movement. The objective of this study was to investigate if the distribution of reported clinical FMD outbreaks in Vietnam across space and time is better explained by models that incorporate population connectivity based upon FMDV movement (inferred by discrete phylogeographic analysis) as opposed to spatial adjacency. Phylogeographic matrices were incorporated into Bayesian space-time regression models. Based on comparing DIC values, models that incorporated population connectivity via phylogeographic matrices better explained the observed outbreak data than models utilizing spatial adjacency. Both the spatial adjacency and phylogeographic versions of the regression model were used to identify high-risk areas and risk factors related to movement and population demographics; relative risk of reported outbreaks was increased in provinces with high inferred rates of transboundary FMDV movement from adjacent countries. We conclude that accounting for FMDV movement inferred from phylogeographic analysis serves as a useful proxy for population connectivity in space-time regression models. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Title":"Ms.","FirstName":"Umanga","LastName":"Gunasekera","Position":"Post doctoral fellow","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Gunasekera U"},{"PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Title":"Dr","FirstName":"Miranda","LastName":"Bertram","Position":"Veterinary Medical Officer","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Bertram M"},{"PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Title":"Dr","FirstName":"Do","LastName":"H. Dung","Position":"Veterinary Medical Officer","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"H. Dung D"},{"PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Title":"Prof","FirstName":"Andres","LastName":"Perez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Perez A"},{"PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Title":"Dr","FirstName":"Jonathan","LastName":"Arzt","Position":"Veterinary Medical Officer","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Arzt J"},{"PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Title":"Dr.","FirstName":"Kimberly","LastName":"VanderWaal","Position":"Associate Professor","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"VanderWaal K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Number":1,"Affiliation":"Veterinary Population Medicine, University of Minnesota","City":"St Paul","State":"MN","Country":"USA","AffiliationDisplay":"Veterinary Population Medicine, University of Minnesota, St Paul MN, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Number":2,"Affiliation":"Foreign Animal Disease Research Unit, Plum Island Animal Disease Center","City":"Greenport","State":"NY","Country":"USA","AffiliationDisplay":"Foreign Animal Disease Research Unit, Plum Island Animal Disease Center, Greenport NY, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"daf84952-57f4-4207-98a9-322c3b48cf68","Number":3,"Affiliation":"Department of Animal Health","City":null,"State":null,"Country":"Vietnam","AffiliationDisplay":"Department of Animal Health, Vietnam"}],"AuthorsHtml":"Gunasekera U1, Bertram M2, H. Dung D3, Perez A1, Arzt J2, VanderWaal K1","AffiliationsHtml":"
1Veterinary Population Medicine, University of Minnesota, St Paul MN, USA
2Foreign Animal Disease Research Unit, Plum Island Animal Disease Center, Greenport NY, USA
3Department of Animal Health, Vietnam
"}],"DisplayName":"Kimberly Vanderwaal","TimeDisplay":null},{"ContactId":"0306801e-4a84-4798-b43f-58b00ed54d1d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"John","LastName":"VanLeeuwen","Position":"Interim Dean of the Atlantic Veterinary College","Organization":"University of Prince Edward Island","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/0165221515e845aabbf3d9c8269ca197","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Possible cross-reactivity of antibody and antigen test results for bovine viral diarrhea virus and classical swine fever virus in dairy cattle in Kenya.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"474cfad3-4693-47e4-9d5e-0b21de59fa63","Html":null,"PlainText":"Objectives: Correct diagnosis is very important in the control of bovine viral diarrhea virus (BVDV) and identification of carriers. Classical swine fever virus (CSFV) is in the same genus as BVDV, and primarily a pig pathogen but known to infect cattle. This could present a diagnostic challenge for BVDV through possible cross-reactivity of BVDV tests where cattle are exposed to pigs and CSFV. The objective of this study was to determine possible cross-reactivity of BVDV and CSFV ELISA results for antigen (Ag) and antibody (Ab) among smallholder dairy cattle in Kenya.
Materials and Methods: Testing for BVDV Ag and Ab was initially conducted on 320 purposively selected samples. Testing for CSFV Ag and Ab was also conducted on a subset of these samples, based on BVDV test results and availability of enough sample volume from farms that kept pigs. The final dataset had a total of 133 and 74 serum samples tested for both antigens (Ag) and both antibodies (Ab), respectively.
Results: For the 74 Ab tests, 54.0% were BVDV Ab positive, while 85.1% were CSFV Ab positive. Of the 40 BVDV Ab positive samples, 90.0% tested positive for CSFV Ab. However, of the 34 BVDV Ab negative samples, 79.4% were CSFV Ab test positive. For the 133 Ag tests, 94.0% were BVDV Ag positive, with only 2 (1.5%) among these samples were CSFV Ag positive. None of the BVDV Ag negative samples was positive for CSFV Ag.
Conclusion: The results indicate a high possibility of substantial cross-reactivity for the two Ab ELISA tests, or reactivity with another Pestivirus. There was limited evidence for possible cross-reactivity of the two Ag ELISA tests. Cross-reactivity should be considered when interpreting ELISA results for the Pestivirus genus in cattle, more for Ab than Ag tests.
Key words: Cross-reactivity, BVDV, CSFV, Antibody, Antigen
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"474cfad3-4693-47e4-9d5e-0b21de59fa63","Title":"Dr.","FirstName":"Daniel","LastName":"Muasya","Position":"Phd Candidate","Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Muasya D"},{"PresentationId":"474cfad3-4693-47e4-9d5e-0b21de59fa63","Title":"Prof.","FirstName":"John","LastName":"VanLeeuwen","Position":"Interim Dean of the Atlantic Veterinary College","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"VanLeeuwen J"},{"PresentationId":"474cfad3-4693-47e4-9d5e-0b21de59fa63","Title":"Dr.","FirstName":"George","LastName":"Gitau","Position":"","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Gitau G"},{"PresentationId":"474cfad3-4693-47e4-9d5e-0b21de59fa63","Title":"Dr","FirstName":"Luke","LastName":"Heider","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Heider L"},{"PresentationId":"474cfad3-4693-47e4-9d5e-0b21de59fa63","Title":"Dr.","FirstName":"Shawn","LastName":"McKenna","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"McKenna S"},{"PresentationId":"474cfad3-4693-47e4-9d5e-0b21de59fa63","Title":"Dr.","FirstName":"Joan","LastName":"Muraya","Position":"Tutorial Fellow","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Muraya J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"474cfad3-4693-47e4-9d5e-0b21de59fa63","Number":1,"Affiliation":"Department of Health Management, University of Prince Edward Island (UPEI)","City":"Charlottetown","State":"Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Health Management, University of Prince Edward Island (UPEI), Charlottetown Prince Edward Island, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"474cfad3-4693-47e4-9d5e-0b21de59fa63","Number":2,"Affiliation":"Department of Clinical Studies, University of Nairobi (UoN)","City":"Nairobi","State":"Nairobi","Country":"Kenya","AffiliationDisplay":"Department of Clinical Studies, University of Nairobi (UoN), Nairobi Nairobi, Kenya"}],"AuthorsHtml":"Muasya D1,2, VanLeeuwen J1, Gitau G2, Heider L1, McKenna S1, Muraya J2","AffiliationsHtml":"
1Department of Health Management, University of Prince Edward Island (UPEI), Charlottetown Prince Edward Island, Canada
2Department of Clinical Studies, University of Nairobi (UoN), Nairobi Nairobi, Kenya
"}],"DisplayName":"John VanLeeuwen","TimeDisplay":null},{"ContactId":"e33899b5-e7f8-46ca-882e-84bdfd6c5028","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Csaba","LastName":"Varga","Position":"Assistant Professor of Epidemiology","Organization":"University of Illinois","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/95ffa7896ffa4d8cae1976ee4800d4a6","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluating the impact of farm management and antimicrobial use practices on the emergence of antimicrobial-resistant Campylobacter isolated from Canadian turkey flocks","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"656c86b3-a729-4d2e-b7be-786b63e48b62","Date":"2022-08-08T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 1.E - Surveillance and Monitoring","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"411a6fce-0b3e-4528-9dd7-e31921fdb4fa","Html":null,"PlainText":"Campylobacter is the most common pathogen causing foodborne enteric diseases in humans in Canada. Consumption of poultry products is the main source of campylobacteriosis. The emergence of antimicrobial resistance (AMR) in Campylobacter is a global public health issue.
A total of 729 Campylobacter isolates that were recovered from fecal samples collected by 16 veterinarians from 199 turkey flocks across five Canadian provinces between 2016 and 2019 by the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) were included in this study. The antimicrobial susceptibility of isolates to nine antimicrobials was determined by broth microdilution using the automated Sensititre™ methodology and CAMPY™ plates. Mixed-effects logistic regression models accounting for veterinarian- and sampling-year-level clustering and sampling age were built to evaluate associations among resistance to fluoroquinolones and tetracyclines in Campylobacter isolates and flock-level antimicrobial use (AMU) practices, described as the number of defined daily doses in animals using Canadian standard per kg-animal days at risk. We also built logistic regression models to assess the impact of farm management practices on the emergence of fluoroquinolone and tetracycline-resistant Campylobacter.
The odds of tetracycline resistance were increased by using tetracyclines (OR=1.063; 95% CI: 1.004-1.123) and streptogramins (OR: 1.006; 95% CI: 1.002-1.01) during the turkey’s rearing period. The odds of fluoroquinolone-resistant isolates were decreased by the use of aminoglycosides and penicillins. Farms that stored manure adjacent to barns increased the odds, and farms that dry-cleaned and disinfect the barns between flock cycles decreased the odds of having tetracycline-resistant Campylobacter.
Our study underlines the importance of continuous on-farm surveillance of foodborne pathogens in turkey flocks to evaluate the influence of AMU and farm management practices on the emergence of AMR. Monitoring AMR in poultry flocks is essential to prevent and reduce the transmission of antimicrobial-resistant foodborne pathogens to humans.

turkey, antimicrobial resistance, antimicrobial use, farm management, poultry
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"411a6fce-0b3e-4528-9dd7-e31921fdb4fa","Title":"Dr.","FirstName":"Csaba","LastName":"Varga","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Varga C"},{"PresentationId":"411a6fce-0b3e-4528-9dd7-e31921fdb4fa","Title":"Dr.","FirstName":"Rima","LastName":"Shrestha","Position":"Postdoctoral Research Associate","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Shrestha R"},{"PresentationId":"411a6fce-0b3e-4528-9dd7-e31921fdb4fa","Title":"Dr","FirstName":"Agnes","LastName":"Agunos","Position":"Veterinary Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Agunos A"},{"PresentationId":"411a6fce-0b3e-4528-9dd7-e31921fdb4fa","Title":"Dr","FirstName":"Sheryl","LastName":"Gow","Position":"Veterinary Epidemiologist","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Gow S"},{"PresentationId":"411a6fce-0b3e-4528-9dd7-e31921fdb4fa","Title":"Dr.","FirstName":"Anne","LastName":"Deckert","Position":"Veterinary Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":5,"DisplayName":"Deckert A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"411a6fce-0b3e-4528-9dd7-e31921fdb4fa","Number":1,"Affiliation":"Department of Pathobiology, University of Illinois at Urbana-Champaign","City":"Urbana","State":"IL","Country":"USA","AffiliationDisplay":"Department of Pathobiology, University of Illinois at Urbana-Champaign, Urbana IL, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"411a6fce-0b3e-4528-9dd7-e31921fdb4fa","Number":2,"Affiliation":"Public Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Guelph ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"411a6fce-0b3e-4528-9dd7-e31921fdb4fa","Number":3,"Affiliation":"Public Health Agency of Canada, Western College of Veterinary Medicine","City":"Saskatoon","State":"SK","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Western College of Veterinary Medicine, Saskatoon SK, Canada"}],"AuthorsHtml":"Varga C1, Shrestha R1, Agunos A2, Gow S3, Deckert A2","AffiliationsHtml":"
1Department of Pathobiology, University of Illinois at Urbana-Champaign, Urbana IL, USA
2Public Health Agency of Canada, Center for Foodborne, Environmental and Zoonotic Infectious Diseases, Guelph ON, Canada
3Public Health Agency of Canada, Western College of Veterinary Medicine, Saskatoon SK, Canada
"}],"DisplayName":"Csaba Varga","TimeDisplay":null},{"ContactId":"216a004a-6414-48b6-8c3d-c567ed442c55","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lucy","LastName":"Vass","Position":"Phd Student","Organization":"University of Bristol","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"lucyjvass","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"lucyjvass","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=lucyjvass","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=lucyjvass","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Developing a Bayesian model for the prevalence of antimicrobial resistance in the farm environment","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"5ecb13dc-cd09-43c3-84ba-e86914a52825","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.E - Epidemiologic Principles and Methods (Statistical analysis)","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Html":null,"PlainText":"Objectives
Sampling the farm environment is a time- and cost-effective method of assessing the prevalence of phenotypic profiles of antimicrobial resistance (AMR) in livestock. Currently data are binarized for analysis into resistant/not resistant samples and modelled using logistic regression. This approach, however, doesn’t account for the varying limit of detection across samples with differing bacterial abundances and is poor at identifying risk factors. We developed an approach that models varying uncertainties and gives less biased estimates of variables in comparison to logistic regression.

Materials and methods
Environmental samples from 52 dairy farms were cultured for E. coli; the number of AMR colonies and bacterial abundance in each sample was measured using colony counting. A Bayesian model based on a generalised linear model with Poisson likelihood and a log-link was developed in RStan and sampled using MCMC. Estimates for the pairs of colony counts from each sample were combined and an inverse-logit transform was applied to give an estimate of the proportion of AMR isolates. The model was validated using posterior predictive checking and compared to a logistic regression model using synthetically generated data.

Results
The proposed Bayesian model produced a robust estimate of the proportion of AMR in each sample with uncertainty scaling appropriately with bacterial abundance. When applied to synthetically generated data, this model had the power to resolve effect sizes up to 50 times smaller than those resolved by logistic regression. Additionally, the variables effect size was less biased by the addition of variables that were correlated with both AMR and bacterial abundance.

Conclusion
The proposed Bayesian model is a more powerful and less biased approach to risk factors for AMR in heterogeneous environmental samples. Additionally, as this approach uses standard modelling tools, the model can be easily adapted to a range of applications in veterinary epidemiology.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Title":"Ms.","FirstName":"Lucy","LastName":"Vass","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Vass L"},{"PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Title":"Ms","FirstName":"Hannah","LastName":"Schubert","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Schubert H"},{"PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Title":"Dr","FirstName":"Fernando ","LastName":"Sanchez-Vizcaino","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Sanchez-Vizcaino F"},{"PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Title":"Prof","FirstName":"Matthew","LastName":"Avison","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Avison M"},{"PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Title":"Prof","FirstName":"Kristen","LastName":"Reyher","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Reyher K"},{"PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Title":"Prof","FirstName":"Andrew","LastName":"Dowsey","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Dowsey A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Number":1,"Affiliation":"School of Veterinary Sciences, University of Bristol","City":"Bristol","State":"England","Country":"United Kingdom","AffiliationDisplay":"School of Veterinary Sciences, University of Bristol, Bristol England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Number":2,"Affiliation":"Department of Population Health Sciences, University of Bristol","City":"Bristol","State":"England","Country":"United Kingdom","AffiliationDisplay":"Department of Population Health Sciences, University of Bristol, Bristol England, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c0005ca3-7d80-4522-af49-b89869432f72","Number":3,"Affiliation":"School of Cellular and Molecular Medicine, University of Bristol","City":"Bristol","State":"England","Country":"United Kingdom","AffiliationDisplay":"School of Cellular and Molecular Medicine, University of Bristol, Bristol England, United Kingdom"}],"AuthorsHtml":"Vass L1,2, Schubert H1, Sanchez-Vizcaino F1, Avison M3, Reyher K1, Dowsey A1,2","AffiliationsHtml":"
1School of Veterinary Sciences, University of Bristol, Bristol England, United Kingdom
2Department of Population Health Sciences, University of Bristol, Bristol England, United Kingdom
3School of Cellular and Molecular Medicine, University of Bristol, Bristol England, United Kingdom
"}],"DisplayName":"Lucy Vass","TimeDisplay":null},{"ContactId":"b26cabc1-18e5-4700-a2b3-0b62fd64e1ef","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Jorge Alberto","LastName":"Vazquez Diosdado","Position":"Assistant Professor","Organization":"University of Nottingham","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Machine learning algorithms for behavioural monitoring in calves to inform on farm disease surveillance: Multi-class behaviour detection and quantification ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c9aa60ab-6f8a-4ce7-b257-16d267e201ab","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"195b8e83-b299-4d70-95ab-104358a436b9","Html":null,"PlainText":"Keywords: Health and welfare, dairy calves, precision livestock, machine learning, positive welfare.


Objectives: Innovative technologies such as movement sensors can track the behaviour of large numbers of livestock over extended periods. By harnessing these data to detect behavioural changes that precede or occur alongside clinical disease, smart algorithms could enable real time, on-farm monitoring systems for endemic disease. However, current commercial technologies only detect a limited number of behaviours (e.g., lying time, step count) and do not capture the distribution of low prevalence behaviours, such as locomotor play in calves, which could help assess positive welfare. These limitations reduce the usefulness of sensor technologies for health and welfare monitoring. Our objective is to explore the potential of machine learning algorithms to detect and quantify diverse behaviours, including locomotor play, in dairy calves using a sensor.

Material and methods: We labelled sensor data, gathered from 13 pre-weaned calves, according to a detailed ethogram. Sensor signals were merged with behavioural observations and signal features were calculated. We created an AdaBoost ensemble machine learning algorithm to classify nine different behaviours. Play behaviour has a low prevalence which can lead to vast overestimation of this behaviour. We therefore implemented a machine learning quantification method to robustly predict play behaviour distribution.

Results: All behaviours were detected with high accuracy, including active lying, non-active lying, self-grooming, ruminating, and suckling at the milk feeder. Despite the low prevalence of play behaviour (0.27%), our quantification algorithm estimates were highly correlated with the true prevalence (0.97; p < 0.001) with a total overestimation of 18.97%.

Conclusion: Machine learning algorithms can monitor a diverse range of behaviours in dairy calves by use of sensor data including those that occur at low prevalence. We believe this work will contribute towards the assessment of welfare and disease by use of sensor technologies. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"195b8e83-b299-4d70-95ab-104358a436b9","Title":"Mr.","FirstName":"Charles","LastName":"Carslake","Position":"PhD student","Affiliations":null,"IsPresenting":false,"SortOrder":1,"DisplayName":"Carslake C"},{"PresentationId":"195b8e83-b299-4d70-95ab-104358a436b9","Title":"Mr.","FirstName":"Jorge Alberto","LastName":"Vazquez Diosdado","Position":"Assistant Professor","Affiliations":null,"IsPresenting":true,"SortOrder":2,"DisplayName":"Vazquez Diosdado J"},{"PresentationId":"195b8e83-b299-4d70-95ab-104358a436b9","Title":"Prof.","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor of Epidemiology & Precision Livestock Informatics","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Kaler J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"195b8e83-b299-4d70-95ab-104358a436b9","Number":1,"Affiliation":"School of Veterinary Medicine and Science, University of Nottingham","City":"Sutton Bonington","State":"Nottinghamshire","Country":"United Kingdom","AffiliationDisplay":"School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Nottinghamshire, United Kingdom"}],"AuthorsHtml":"Carslake C, Vazquez Diosdado J, Kaler J","AffiliationsHtml":"
1School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Nottinghamshire, United Kingdom
"},{"Title":"Investigating effect of disease, familiarity and weaning stress on sociality of dairy calves using sensors","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b4f8df75-42e5-4b50-a828-fc749df07a9a","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.C - Network Analysis","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"463f7375-0218-4363-a387-d5f66cbcc834","Html":null,"PlainText":"Keywords: disease, sociality, familiarity, weaning, sensors

Objective

In this study we investigate the effect that health, weaning and familiarity can have on social measures of calves from early life. Our results provide new insights on the impact that health and other stressors can have on early development of social behaviour in cattle.


Materials and Methods

For the study 80 calves from 5 different cohorts were enrolled from February until October 2021 at a dairy farm in the UK. Social measures from aggregated networks on a 4 days basis were computed from proximity interactions (defined by <1meter and >5minute thresholds) obtained by ultrawideband location sensor technology (Sewio Leonardo).

Methods

We used a Markov Chain Monte Carlo (MCMC) framework to measure the relationship between association strength and familiarity, difference in age, breed, sex. Social differentiation of the networks was tested using the observed coefficient of variation in association strength against 10000 randomised version of the networks. An individual linear mixed model for different social measures (association strength, centrality, closeness, betweenness and coefficient of variation) was used to investigate the effect that health and weaning have.

Results

Our results suggest that calves that get sick have a significantly lower number of interactions and centrality (lower ranking) that calves that are healthy. Calves that were weaned have significantly higher number of interactions and significantly lower centrality that those are healthy. Additionally, calves have significantly higher number of interactions with calves that they were paired at birth.

Conclusions

The present study shows the effect that different factors such as health, weaning and familiarity have on the formation of long-stand social relationships of cattle. Changes in sociality can be used to further improve detection of diseases in calves.


","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"463f7375-0218-4363-a387-d5f66cbcc834","Title":"Dr.","FirstName":"Jorge Alberto","LastName":"Vazquez Diosdado","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Vazquez Diosdado J"},{"PresentationId":"463f7375-0218-4363-a387-d5f66cbcc834","Title":"Mrs","FirstName":"Francesca ","LastName":"Occhiuto","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Occhiuto F"},{"PresentationId":"463f7375-0218-4363-a387-d5f66cbcc834","Title":"Mr","FirstName":"Charles C","LastName":"Carslake","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Carslake C"},{"PresentationId":"463f7375-0218-4363-a387-d5f66cbcc834","Title":"Professor ","FirstName":"Jasmeet","LastName":"Kaler","Position":"Professor in Epidemiology and Precision Livestock Informatics","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Kaler J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"463f7375-0218-4363-a387-d5f66cbcc834","Number":1,"Affiliation":"School of Veterinary Medicine and Science, University Of Nottingham","City":"Sutton Bonington","State":"Loughborough","Country":"United Kingdom","AffiliationDisplay":"School of Veterinary Medicine and Science, University Of Nottingham, Sutton Bonington Loughborough, United Kingdom"}],"AuthorsHtml":"Vazquez Diosdado J1, Occhiuto F1, Carslake C1, Kaler J1","AffiliationsHtml":"
1School of Veterinary Medicine and Science, University Of Nottingham, Sutton Bonington Loughborough, United Kingdom
"}],"DisplayName":"Jorge Alberto Vazquez Diosdado","TimeDisplay":null},{"ContactId":"7d57194b-87da-4108-ad64-e640cc466fad","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Narmada","LastName":"Venkateswaran","Position":"Researcher","Organization":"University Of Washington","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Data gaps in antimicrobial resistance (AMR) estimates between livestock and humans in low- and middle-income countries (LMICs)","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"b3e517fe-cf58-4f9a-a3db-4c88394d0e77","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 11.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"e56912e0-07d4-4e09-b8bd-f995616063f0","Html":null,"PlainText":"Keywords: Antimicrobial resistance; burden; surveillance gaps

Objectives: AMR is a global concern for livestock and human populations, especially in LMICs with limited surveillance. Many have identified the role of zoonosis in AMR transmission, yet few have considered how animal surveillance and human health outcomes data intersect. Our objective is to identify data gaps in human and livestock AMR burden in LMICs, using disability-adjusted life years (DALYs) to evaluate human AMR burden. By evaluating data completeness of human and livestock AMR burden, we can strengthen livestock surveillance in burdened locations.

Materials and Methods: We sourced regional estimates of DALYs due to AMR from the Global Burden of Disease. Livestock AMR surveys were sourced from resistancebank.org. We focused our analysis on resistance in Escherichia coli, Salmonella spp., and Staphylococcus aureus. Livestock species analyzed were chickens, cattle, pigs and sheep. We generated bivariate maps looking at the intersection of DALYs with livestock data availability by livestock and pathogen species, and the intersection of DALYs and livestock AMR hotspots.

Results: South Asian countries overall estimated 1.8 million DALYs globally due to AMR with significant overlap with AMR hotspots, and had high livestock data availability. Certain Sub-Saharan countries estimated high DALYs of 60,000 due to AMR but had low livestock data availability. Contrastingly, Latin American countries estimated 27,000 DALYs due to AMR but high livestock data availability. Pathogen-specific analyses showed that LMICs maintained livestock data availability despite a large drop in Salmonella spp. burden.

Conclusion: We identified data gaps in human and livestock AMR burden in LMICs, specifically highlighting countries with high DALYs and low livestock data availability. Future livestock surveillance and data collection can be strengthened in these locations. Source attribution work in analyzing zoonotic transmission potential is concurrently needed in fully understanding which livestock reservoirs and pathogens contribute towards AMR burden.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e56912e0-07d4-4e09-b8bd-f995616063f0","Title":"Ms.","FirstName":"Narmada","LastName":"Venkateswaran","Position":"Researcher","Affiliations":null,"IsPresenting":true,"SortOrder":1,"DisplayName":"Venkateswaran N"},{"PresentationId":"e56912e0-07d4-4e09-b8bd-f995616063f0","Title":"Ms.","FirstName":"Carlotta","LastName":"Di Bari","Position":"Research Assistant","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Di Bari C"},{"PresentationId":"e56912e0-07d4-4e09-b8bd-f995616063f0","Title":"Dr.","FirstName":"Grace","LastName":"Patterson","Position":"Postdoctoral Fellow","Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Patterson G"},{"PresentationId":"e56912e0-07d4-4e09-b8bd-f995616063f0","Title":"Mr.","FirstName":"Brecht","LastName":"Devleesschauwer","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Devleesschauwer B"},{"PresentationId":"e56912e0-07d4-4e09-b8bd-f995616063f0","Title":"PhD","FirstName":"David","LastName":"Pigott","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Pigott D"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e56912e0-07d4-4e09-b8bd-f995616063f0","Number":1,"Affiliation":"Institute for Health Metrics and Evaluation, University of Washington","City":"Seattle","State":"WA","Country":"United States","AffiliationDisplay":"Institute for Health Metrics and Evaluation, University of Washington, Seattle WA, United States"}],"AuthorsHtml":"Venkateswaran N, Di Bari C, Patterson G, Devleesschauwer B, Pigott D","AffiliationsHtml":"
1Institute for Health Metrics and Evaluation, University of Washington, Seattle WA, United States
"}],"DisplayName":"Narmada Venkateswaran","TimeDisplay":null},{"ContactId":"64e11ea7-acb2-4344-bd50-65addf631037","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Cristobal","LastName":"Verdugo","Position":"","Organization":"Austral University Of Chile","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/eb446b3e2f5943ebbd718c789e8659fd","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Association between the severity of histopathological lesions and Mycobacterium avium subsp. paratuberculosis (MAP) molecular diversity in cattle in southern Chile","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"9404666d-fc4b-4fd8-8838-19254ba86308","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"87a6cd4b-553b-45af-a8ee-f7611edda949","Html":null,"PlainText":"The objective was to determine the association between the severity of histopathological lesions, due to MAP infection, and the molecular diversity of this pathogen. Blood, ileum, and mesenteric lymph node samples were collected at slaughter, from 1352 adult cattle. A histopathological examination was conducted on samples from ELISA positive animals. In parallel, microbiological culture and subsequent VNTR typing were performed on those tissue samples. A quantitative severity scoring system (SSS) for the histopathological lesions was developed. In general, the SSS uses a scale from 1 to 5, based on the presence of alcohol resistant acid bacilli; in addition to the type, quantity and location of inflammatory cells.
A total of 79 MAP isolates were successfully typed by the VNTR method, where 19 different subtypes were described. Those subtypes were divided into 3 groups (according to their frequency): “1st dominant (1D)”, “2nd dominant (2D)” and “Non-dominants subtypes (ND)”. A generalized mixed linear model was used, where the SSS was used as response variable and the subtype group as a predictor. Farm of origin was used as a random effect. After adjusting the model for animal age, it was observed that “1D” and “2D” presented statistically higher SSS scores than “ND”. These results indicate potential differences in pathogenicity between MAP subtype, where dominant subtypes tend to generate more severe lesions. This could enhance their capacity to cause disease and being shed into the environment in larger amounts than ND subtypes, increasing their chances of transmission.

Key words:Mycobacterium avium subspecies paratuberculosis , VNTR, histopathological lesions ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"87a6cd4b-553b-45af-a8ee-f7611edda949","Title":"Dr.","FirstName":"Cristobal","LastName":"Verdugo","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Verdugo C"},{"PresentationId":"87a6cd4b-553b-45af-a8ee-f7611edda949","Title":"Dr.","FirstName":"Diego","LastName":"Marquez","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Marquez D"},{"PresentationId":"87a6cd4b-553b-45af-a8ee-f7611edda949","Title":"Dr.","FirstName":"Enrrique","LastName":"Paredes","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Paredes E"},{"PresentationId":"87a6cd4b-553b-45af-a8ee-f7611edda949","Title":"Dr.","FirstName":"Maria Jose","LastName":"Navarrete","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Navarrete M"},{"PresentationId":"87a6cd4b-553b-45af-a8ee-f7611edda949","Title":"Mr","FirstName":"Camilo","LastName":"Tomckowiack","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Tomckowiack C"},{"PresentationId":"87a6cd4b-553b-45af-a8ee-f7611edda949","Title":"Dr.","FirstName":"Miguel","LastName":"Salgado","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Salgado M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"87a6cd4b-553b-45af-a8ee-f7611edda949","Number":1,"Affiliation":"Austral University Of Chile","City":"Valdivia","State":"De Los Rios","Country":"Chile","AffiliationDisplay":"Austral University Of Chile, Valdivia De Los Rios, Chile"}],"AuthorsHtml":"Verdugo C1, Marquez D1, Paredes E1, Navarrete M1, Tomckowiack C1, Salgado M1","AffiliationsHtml":"
1Austral University Of Chile, Valdivia De Los Rios, Chile
"}],"DisplayName":"Cristobal Verdugo","TimeDisplay":null},{"ContactId":"c5afc89d-c586-40e5-b709-1e2e3ce5a603","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gema","LastName":"Vidal","Position":"","Organization":"National Veterinary Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Performance analysis of a machine learning classifier to predict metritis events in dairy cattle using nowcasting and forecasting frameworks.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Html":null,"PlainText":"In dairy farms, the use of sensors to monitor animal behavior has been increasing. However, the impact of data pre-processing and number of behaviors needed to predict metritis events have been understudied. Our objectives were 1) to compare model performance at different levels of sensor data aggregation; 2) to compare model performance when multiple behaviors were combined into one model; and 3) to compare model performance under nowcasting and forecasting frameworks.
Data from 239 metritis events were retrospectively selected from a dataset containing sensor and clinical data from 138 lactating cows during the first 21 days postpartum. Data had been collected at University of Kentucky Coldstream Dairy from June 2014 to May 2017. Sensor data registered by an ear- and leg-attached 3-axis accelerometers were used. Sensor data corresponding to 72 hours prior to each metritis event were aggregated using 12-, 6-, and 3-hour time windows. Under forecasting framework, same models were fitted using sensor data corresponding to 25 - 72 hours prior to each metritis event. Random forest (RF) was trained on sensor data to predict metritis events. Five-fold cross-validation precision, recall, and F1 score were used to evaluate RF performance.
Model performance ranged between 61% - 100% precision, 59.5% - 97.5% recall, and 60.2% - 100% F1 score, depending on the device, time window, and number of behaviors used to train the model. Furthermore, model performance did not improve when multiple behaviors registered by two different devices were combined. Lastly, forecasting models had a level of performance comparable to those resulted from nowcasting models.
In conclusion, pre-processing of sensor data had a great impact on RF performance. With the use of farm-specific data pre-processing strategies, RF can be used on sensor data to predict metritis events 2 to 3 days earlier compared to traditional diagnostic methods.

Keywords: data pre-processing","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Title":"Dr.","FirstName":"Gema","LastName":"Vidal","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Vidal G"},{"PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Title":"Dr.","FirstName":"James","LastName":"Sharpnack","Position":"Associate Professor","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Sharpnack J"},{"PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Title":"Dr.","FirstName":"Pablo","LastName":"Pinedo","Position":"Associate Professor","Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Pinedo P"},{"PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Title":"Dr.","FirstName":"I Chang","LastName":"Tsai","Position":"Graduate Student","Affiliations":"5","IsPresenting":false,"SortOrder":4,"DisplayName":"Tsai I"},{"PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Title":"Dr.","FirstName":"Amanda Rene","LastName":"Lee","Position":"Graduate student","Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Lee A"},{"PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Title":"Dr.","FirstName":"Beatriz","LastName":"Martínez-López","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":6,"DisplayName":"Martínez-López B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Number":1,"Affiliation":"National Veterinary Institute Sweden","City":"Uppsala","State":null,"Country":"Sweden","AffiliationDisplay":"National Veterinary Institute Sweden, Uppsala, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Number":2,"Affiliation":"Center of Animal Disease Modeling and Surveillance (CADMS), University of California Davis","City":null,"State":null,"Country":"U.S.A.","AffiliationDisplay":"Center of Animal Disease Modeling and Surveillance (CADMS), University of California Davis, U.S.A."},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Number":3,"Affiliation":"Department of Statistics, University of California Davis","City":null,"State":null,"Country":"U.S.A.","AffiliationDisplay":"Department of Statistics, University of California Davis, U.S.A."},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Number":4,"Affiliation":"Department of Animal Sciences, Colorado State University","City":"Fort Collins","State":null,"Country":"U.S.A.","AffiliationDisplay":"Department of Animal Sciences, Colorado State University, Fort Collins, U.S.A."},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f1e81dfd-dcf2-40e5-8295-13b7f4509fd0","Number":5,"Affiliation":"Department of Animal Sciences, University of Kentucky","City":"Lexington","State":null,"Country":"U.S.A.","AffiliationDisplay":"Department of Animal Sciences, University of Kentucky, Lexington, U.S.A."}],"AuthorsHtml":"Vidal G1, Sharpnack J3, Pinedo P4, Tsai I5, Lee A5, Martínez-López B2","AffiliationsHtml":"
1National Veterinary Institute Sweden, Uppsala, Sweden
2Center of Animal Disease Modeling and Surveillance (CADMS), University of California Davis, U.S.A.
3Department of Statistics, University of California Davis, U.S.A.
4Department of Animal Sciences, Colorado State University, Fort Collins, U.S.A.
5Department of Animal Sciences, University of Kentucky, Lexington, U.S.A.
"}],"DisplayName":"Gema Vidal","TimeDisplay":null},{"ContactId":"dab4b627-8e9e-4de6-895a-9798fa1fefd6","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Maria J.","LastName":"Vilar","Position":"","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Long-term acute bovine viral diarrhoea virus infections in dairy cattle","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"8b5c11ac-d330-46ef-8cc2-611df2889364","Html":null,"PlainText":"To describe a field case of long-term acute bovine viral diarrhoea virus (BVDV) infections on a dairy farm.

An official voluntary BVDV control program has been implemented since 2004 in Galicia (NW Spain). The control program is based on a regular monitoring of farms by testing bulk tank milk and serum samples from young heifers, using a commercial ELISA. Where tested samples indicated possible persistent infection (PI) (e.g. a positive ELISA antibody result in a young heifer), this was confirmed by antigen ELISA or PCR (from serum or ear-notch samples). In June 2020, an BVDV outbreak was detected in Galicia, with several new born PI animals during that time.

Four calves that tested positive for BVDV by antigen ELISA continued to show positive results between 35 and 70 days after the initial test. The age of these animals ranged from 69 to 120 days old when they last tested positive for BVDV. Finally, they tested antigen-negative and antibody-positive, being confirmed as acutely infected. The BVDV strain found on the farm was typed as 1b.

Typically, diagnosis of PI animals is confirmed by two consecutive positive samples to BVDV taken 3-4 weeks apart. However, this case study showed that multiple samples collected during longer periods of time were needed to confirm PI.

Keywords
BVDV, type 1, PI, acutely infected (AI), long-term viremia
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"8b5c11ac-d330-46ef-8cc2-611df2889364","Title":"Dr.","FirstName":"Maria J.","LastName":"Vilar","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Vilar M"},{"PresentationId":"8b5c11ac-d330-46ef-8cc2-611df2889364","Title":"Miss","FirstName":"Lorena","LastName":"Nodar","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Nodar L"},{"PresentationId":"8b5c11ac-d330-46ef-8cc2-611df2889364","Title":"Dr","FirstName":"Francisco Javier","LastName":"Dieguez Casalta","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Dieguez Casalta F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"8b5c11ac-d330-46ef-8cc2-611df2889364","Number":1,"Affiliation":"Anatomy and Animal Production Department, Veterinary Faculty of Lugo, Universidad de Santiago de Compostela","City":"Lugo","State":null,"Country":"Spain","AffiliationDisplay":"Anatomy and Animal Production Department, Veterinary Faculty of Lugo, Universidad de Santiago de Compostela, Lugo, Spain"}],"AuthorsHtml":"Vilar M1, Nodar L1, Dieguez Casalta F1","AffiliationsHtml":"
1Anatomy and Animal Production Department, Veterinary Faculty of Lugo, Universidad de Santiago de Compostela, Lugo, Spain
"},{"Title":"Antimicrobial resistance of Escherichia coli isolated from healthy pigs: single vs. pooled samples","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"97c96c1f-0955-4bc8-9a07-31dcd437828d","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Html":null,"PlainText":"To compare the collection of single and pooled samples on AMR of E. coli at herd-level.

National AMR monitoring (single, national-dataset) and a research study (pooled, Molsig-dataset) collected E. coli isolates from the caecum of healthy UK pigs, randomly selected at slaughter. Caecal samples were plated on non-selective (MacConkey-agar) and antibiotic-selective (MacConkey-agar + cefotaxime) media. The national-dataset comprised 150 isolates, each representing one farm. MIC values were determined and interpreted using EUCAST ECOFFs. The Molsig-dataset comprised 263 isolates from pooled samples of 10 pigs per farm (57 farms). BSAC agar dilution method was used to determine MIC, and values interpreted using EUCAST ECOFFs.
AMR against nine antibiotics present in both datasets were compared by generalised mixed-effects models (GLMM), following a binomial distribution with farm as random effect, and by bootstrapped-GLM with 10,000 repetitions, to account for pooling.

Considering non-selective media, the proportion of resistant isolates was similar in both datasets (82.7% and 75.7%). The most common resistance patterns included tetracycline only, and ampicillin and tetracycline together. Isolates resistant to 3 or more antibiotic classes were fewer in the national-dataset than in the Molsig-dataset. National-dataset isolates were all susceptible to colistin, cefotaxime, and ceftazidime, but in the Molsig-dataset were resistant. Differences between datasets were non-significant by GLMM. A bootstrapped-GLM detected significantly lower resistance to ciprofloxacin and nalidixic acid in the national-dataset, highlighting effect of pooling.
In antibiotic-selective media, the proportion of resistant isolates to ceftazidime and to nalidixic acid were significantly greater in the Molsig-dataset, both with GLMM and bootstrapped-GLM. Resistance to ampicillin, cefotaxime, ceftazidime, and tetracycline together was the most common pattern.

The results highlighted that single samples provided similar information to pooled samples for most antibiotic classes, although less AMR to ciprofloxacin, ceftazidime and nalidixic acid were detected in the single samples.

AMR, single vs pooled samples, E.coli, pigs","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Title":"Dr.","FirstName":"Maria J.","LastName":"Vilar","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Vilar M"},{"PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Title":"Dr","FirstName":"Iñaki","LastName":"Deza-Cruz ","Position":"Lecturer in Veterinary Public Health","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Deza-Cruz I"},{"PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Title":"Dr","FirstName":"Martina","LastName":"Velasova","Position":"Senior Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Velasova M"},{"PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Title":"Dr","FirstName":"Manal","LastName":"AbuOun","Position":"Senior Scientific Officer","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"AbuOun M"},{"PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Title":"Dr","FirstName":"Muna","LastName":"Anjum","Position":"Senior Scientific","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Anjum M"},{"PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Title":"Dr","FirstName":"Richard P.","LastName":"Smith","Position":"Lead Analytical Epidemiologist","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Smith R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Number":1,"Affiliation":"Department of Epidemiological Sciences. Animal and Plant Health Agency (APHA)","City":"Addlestone","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"Department of Epidemiological Sciences. Animal and Plant Health Agency (APHA), Addlestone Surrey, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Number":2,"Affiliation":"Department of Veterinary Epidemiology and Public Health","City":"Guildford","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"Department of Veterinary Epidemiology and Public Health, Guildford Surrey, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"11b3b7ee-c68b-4d67-8a07-bd335bc3583d","Number":3,"Affiliation":"Department of Bacteriology. Animal and Plant Health Agency (APHA)","City":"Addlestone","State":"Surrey","Country":"United Kingdom","AffiliationDisplay":"Department of Bacteriology. Animal and Plant Health Agency (APHA), Addlestone Surrey, United Kingdom"}],"AuthorsHtml":"Vilar M1, Deza-Cruz I2, Velasova M1, AbuOun M3, Anjum M3, Smith R1","AffiliationsHtml":"
1Department of Epidemiological Sciences. Animal and Plant Health Agency (APHA), Addlestone Surrey, United Kingdom
2Department of Veterinary Epidemiology and Public Health, Guildford Surrey, United Kingdom
3Department of Bacteriology. Animal and Plant Health Agency (APHA), Addlestone Surrey, United Kingdom
"}],"DisplayName":"Maria J. Vilar","TimeDisplay":null},{"ContactId":"d90dc1df-dc13-440a-8107-b70ab62ddc86","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Juan Pablo","LastName":"Villanueva Cabezas","Position":"","Organization":"The University of Melbourne","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/26e8c3dd4bc341238c061bb9da576ea7","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Demand for Veterinary Services in Cambodia: Determining Factors and Differing Roles of Service Providers","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"94b7b19c-cd26-4216-af19-9810e6d2c6e2","Html":null,"PlainText":"Objectives
-Identify accessibility and use of animal health services by smallholders.
-Determine the roles that different veterinary service providers play in animal health.
-Investigate factors that contribute to smallholders’ decisions to use animal health services.

Materials and methods
We interviewed a total of 1,528 smallholder livestock holders across ten provinces of Cambodia to investigate access and patterns of use of different animal health service providers, namely, village animal health workers (VAHWs) and veterinarians. We expect these providers to be substitutes, so we used a multivariate probit model to allow for correlations across the smallholders’ choices of service provider use.

Results
Access and use of service providers varied across provinces, but the average results for all provinces showed that smallholders had the highest access (yes=36.1%) and use (yes=12.4%) of VAHWs. The lowest access (yes=5.2%) and use (yes=1%) was for public veterinarians. Less than half of respondents reported having access to any service provider, and only 18.5% reported using any service provider in the last year. We also find that VAHWs are more active in preventive procedures than veterinarians, who are more involved in curative treatments. Specific determinants of whether or not to seek care only slightly varied between VAHWs and veterinarians, but the correlation between the two models was positive and significant, confirming that the two provider groups are substitutes. Households with access to credit, raising cattle and having access to multiple service providers were all more likely to use any veterinary services. Conversely, raising poultry made households less likely to use veterinary services.

Conclusion
Cambodian Smallholders have low access to and use of veterinary services, particularly for the most commonly raised livestock type, poultry. VAHWs can play an essential role in filling the gap in access, particularly in preventive care and disease surveillance to mitigate future zoonotic disease outbreaks.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"94b7b19c-cd26-4216-af19-9810e6d2c6e2","Title":"Dr.","FirstName":"Justin","LastName":"McKinley","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"McKinley J"},{"PresentationId":"94b7b19c-cd26-4216-af19-9810e6d2c6e2","Title":"Ms","FirstName":"Katherine","LastName":"Gilbert","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Gilbert K"},{"PresentationId":"94b7b19c-cd26-4216-af19-9810e6d2c6e2","Title":"Dr","FirstName":"Angus","LastName":"Campbell","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"Campbell A"},{"PresentationId":"94b7b19c-cd26-4216-af19-9810e6d2c6e2","Title":"Dr.","FirstName":"Juan Pablo","LastName":"Villanueva Cabezas","Position":"","Affiliations":null,"IsPresenting":true,"SortOrder":4,"DisplayName":"Villanueva Cabezas J"},{"PresentationId":"94b7b19c-cd26-4216-af19-9810e6d2c6e2","Title":"Prof.","FirstName":"Barbara","LastName":"McPake","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"McPake B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"94b7b19c-cd26-4216-af19-9810e6d2c6e2","Number":1,"Affiliation":"Nossal Institute For Global Health, University Of Melbourne","City":"Melbourne","State":"VIC","Country":"Australia","AffiliationDisplay":"Nossal Institute For Global Health, University Of Melbourne, Melbourne VIC, Australia"}],"AuthorsHtml":"McKinley J1, Gilbert K, Campbell A, Villanueva Cabezas J, McPake B","AffiliationsHtml":"
1Nossal Institute For Global Health, University Of Melbourne, Melbourne VIC, Australia
"},{"Title":"Tools to assist with learning, understanding and the practice of veterinary epidemiology","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4c9a2d06-6c43-4fa6-9125-05c81bba4053","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.D - Enhanced Veterinary Education / Evidenced-based Veterinary Medicine","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Html":null,"PlainText":"Objectives
Widespread use of smart phone devices allows veterinarians to carry substantial amounts of technical information literally ‘in their back pockets’. While this has alleviated the need to memorise facts and formulae, the need to understand core epidemiology topics (e.g., measures of disease frequency, measures of association and sources of error in epidemiological research) remains.

We describe the design principles guiding the development of a free, publicly available smart phone app, ‘Epi Tools’, to accompany delivery of the veterinary epidemiology course as part of the Doctor of Veterinary Medicine program at the University of Melbourne, Australia.

Materials and methods
The functions within in the app are organised by topic consistent with the topics delivered within the course. Users have the ability to carry out standard epidemiological calculations using a relatively simple user interface. Each function is accompanied by documentation providing details of input variables, calculation methods, supporting references for the formulae used and worked examples.

A glossary provides concise definitions of common epidemiological terms. For some glossary items animations are included to assist learners to better understand text descriptions provided.

Results
Examples of the app design and function will be demonstrated.

Conclusions
Deep learning occurs when students are confronted with a problem, identify the relevant theoretical principles relevant to the problem at hand and apply those principles to the problem to arrive at a satisfactory solution. The Epi Tools app is a resource that makes it easier for veterinarians to apply theoretical epidemiological principles to real world population health issues.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/660df55776c9427087ef518cea25dcb0","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Title":"Prof.","FirstName":"Mark","LastName":"Stevenson","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Stevenson M"},{"PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Title":"Dr","FirstName":"Caitlin","LastName":"Pfeiffer","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Pfeiffer C"},{"PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Title":"Dr","FirstName":"Petra","LastName":"Mullner","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mullner P"},{"PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Title":"Dr","FirstName":"Uli","LastName":"Mullner","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Mullner U"},{"PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Title":"Associate Professor","FirstName":"Simon","LastName":"Firestone","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Firestone S"},{"PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Title":"Dr","FirstName":"Anke","LastName":"Wiethoelter","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Wiethoelter A"},{"PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Title":"Ms","FirstName":"Hoa","LastName":"Nguyen","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":7,"DisplayName":"Nguyen H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Number":1,"Affiliation":"University Of Melbourne","City":"Parkville","State":"VIC","Country":"Australia","AffiliationDisplay":"University Of Melbourne, Parkville VIC, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Number":2,"Affiliation":"EpiInteractive","City":"PO Box 15327 Miramar 6243","State":null,"Country":"New Zealand","AffiliationDisplay":"EpiInteractive, PO Box 15327 Miramar 6243, New Zealand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Number":3,"Affiliation":"Vnhitek Software","City":"No 7, 14/76 Alley Me Tri Ha, Me Tri Ward, Nam Tu Liem, Hanoi","State":null,"Country":"Vietnam","AffiliationDisplay":"Vnhitek Software, No 7, 14/76 Alley Me Tri Ha, Me Tri Ward, Nam Tu Liem, Hanoi, Vietnam"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"02ae2774-4610-4a2c-a349-2aea66a1ba9e","Number":4,"Affiliation":"College of Veterinary Sciences, Massey University","City":"Palmerston North 4472","State":null,"Country":"New Zealand","AffiliationDisplay":"College of Veterinary Sciences, Massey University, Palmerston North 4472, New Zealand"}],"AuthorsHtml":"Stevenson M1, Pfeiffer C1, Mullner P2, Mullner U2, Firestone S1, Wiethoelter A1, Nguyen H4","AffiliationsHtml":"
1University Of Melbourne, Parkville VIC, Australia
2EpiInteractive, PO Box 15327 Miramar 6243, New Zealand
3Vnhitek Software, No 7, 14/76 Alley Me Tri Ha, Me Tri Ward, Nam Tu Liem, Hanoi, Vietnam
4College of Veterinary Sciences, Massey University, Palmerston North 4472, New Zealand
"},{"Title":"Sources of variation in veterinary prescription of antibiotics in Bhutan: a multilevel modelling approach","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a2fa3544-ac54-4db4-9895-35fdcbdbadea","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Html":null,"PlainText":"Objective(s)
An audit of veterinary consultations in Bhutan found substantial variability in antibiotic prescriptions to livestock. We produced multilevel models to explore two questions: first, what fraction of unexplained variability in antibiotic prescription to any species is associated with consultation and animal health premise (AHP) levels after causal assumptions have been addressed? And second, what fraction of unexplained variability in antibiotic prescription to cattle is associated with these levels?

Materials and methods
Handwritten consultation records (n=1824) from 2017 were collected from 23 AHP selected using probability proportional to the size of the livestock population under their jurisdiction. A maximum of 120 consultations records (10/month) were randomly selected for each AHP. Direct acyclic graphs were produced to explore causal assumptions. Explanatory multilevel models were coded in OpenBUGS to obtain Bayesian inferences derived from the joint posterior distribution produced by Markov Chain Monte Carlo simulations.

Results
Model 1 suggests that 94% of the unexplained variability in antibiotic prescription to any species resides in consultations (intra-AHP correlation = 6%). Poultry have higher odds of antibiotic prescription than cattle (Odds Ratio: 9.1; Credible interval: 5.6-15.1) while increasing livestock units presented to a consultation reduces the odds (OR: 0.8; CI: 0.7-0.9). Model 2 also suggests high unexplained variability associated with consultations (intra-AHP correlation =12%). Female animals have 0.6 of the odds of antibiotic prescription of males (CI: 0.4 – 0.9). Infections and afflictions of the eye and udder have similar odds of being treated with antibiotics. In both models, antibiotic prescription odds are similar between AHP led by veterinarians and para-veterinarians.

Conclusion
Antibiotic stewardship initiatives should target prescribers and focus on the consultation approach. The current interpretation of National Standard Treatment guidelines should be revised. Stewardship monitoring would benefit from veterinary records including the ID of the professional performing the consultation.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Title":"Dr.","FirstName":"Juan Pablo","LastName":"Villanueva Cabezas","Position":null,"Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Villanueva Cabezas J"},{"PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Title":"Dr ","FirstName":"Karma ","LastName":"Rinzin","Position":"Chief Veterinary Officer","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Rinzin K"},{"PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Title":"Dr ","FirstName":"Sithar","LastName":"Dorjee","Position":"Director Epidemiology","Affiliations":"4","IsPresenting":false,"SortOrder":3,"DisplayName":"Dorjee S"},{"PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Title":"Professor","FirstName":"Jodie","LastName":"McVernon","Position":"Director Doherty Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"McVernon J"},{"PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Title":"Professor","FirstName":"Mark A.","LastName":"Stevenson","Position":"Professor of Veterinary Epidemiology","Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Stevenson M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Number":1,"Affiliation":"Department of Infectious Diseases, Faculty of Medicine at The Peter Doherty for Infection and Immunity","City":"Melbourne","State":"VIC","Country":"Australia","AffiliationDisplay":"Department of Infectious Diseases, Faculty of Medicine at The Peter Doherty for Infection and Immunity, Melbourne VIC, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Number":2,"Affiliation":"One Health Unit, Nossal Institute for Global Health, The University of Melbourne","City":"Melbourne","State":"VIC","Country":"Australia","AffiliationDisplay":"One Health Unit, Nossal Institute for Global Health, The University of Melbourne, Melbourne VIC, Australia"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Number":3,"Affiliation":"Ministry of Agriculture and Forestry","City":"Thimphu","State":null,"Country":"Bhutan","AffiliationDisplay":"Ministry of Agriculture and Forestry, Thimphu, Bhutan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Number":4,"Affiliation":"Khesar Gyalpo University of Medical Sciences","City":"Thimphu","State":null,"Country":"Bhutan","AffiliationDisplay":"Khesar Gyalpo University of Medical Sciences, Thimphu, Bhutan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f66e0e45-70ff-476f-bcf3-1c31caf95130","Number":5,"Affiliation":"Melbourne Veterinary School","City":"Melbourne","State":"Victoria","Country":"Australia","AffiliationDisplay":"Melbourne Veterinary School, Melbourne Victoria, Australia"}],"AuthorsHtml":"Villanueva Cabezas J1,2, Rinzin K3, Dorjee S4, McVernon J1, Stevenson M5","AffiliationsHtml":"
1Department of Infectious Diseases, Faculty of Medicine at The Peter Doherty for Infection and Immunity, Melbourne VIC, Australia
2One Health Unit, Nossal Institute for Global Health, The University of Melbourne, Melbourne VIC, Australia
3Ministry of Agriculture and Forestry, Thimphu, Bhutan
4Khesar Gyalpo University of Medical Sciences, Thimphu, Bhutan
5Melbourne Veterinary School, Melbourne Victoria, Australia
"}],"DisplayName":"Juan Pablo Villanueva Cabezas","TimeDisplay":null},{"ContactId":"89a43887-ddcb-4430-8a8a-6181436a208e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Gary","LastName":"Vroegindewey","Position":"Director","Organization":"Lincoln Memorial University College Of Veterinary Medicine","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/26eb2c822be44c0ea59a3e471b37e883","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"OIE Platform on Animal Welfare for Europe Survey on \r\nAnimal Welfare in Natural Disasters\r\n","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"cc7a8d79-a5d9-425d-85cb-1529a5b8b0dc","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.E - Animal welfare","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ab583b75-4248-49c2-9dc2-9a85157ba4aa","Html":null,"PlainText":"OIE Platform on Animal Welfare for Europe Survey on
Animal Welfare in Natural Disasters

1.\tObjectives
a.\tDetermine and quantify the level of capacity of Member Countries to respond to natural disasters in general and animal welfare specifically.
b.\tDetermine the types of disasters encountered.
c.\tDetermine the level of education, training, and exercising.
d.\tIdentify gaps in capacity and specific needs of Member Countries.
2.\t Materials and methods
A web-based Qualtrics survey on Animal Welfare in Natural Disasters was conducted by Lincoln Memorial University in conjunction with the World Organization for Animal Health (OIE) Platform on Animal Welfare for Europe. The fifty question survey was distributed by email link to Member Countries points of contact provide by OIE. The survey was emailed to 53 OIE European Member Countries with reminder emails to complete. Survey results were compiled and tabulated. Only aggregate data is published and presented.
3.\t Results
Forty-nine countries responded to the survey for a 92% completion rate. Floods, earthquakes and fire were the three most commonly encountered disasters. Fifty-two percent indicated they incorporated animal welfare into their disaster planning. Thirty-one percent indicated they had no or limited legal authority to manage animal emergencies in natural disasters. The species covered in national response plan ranged from laboratory animals at 17% to livestock at 48%. Eighty-two percent had no or limited standard operating procedures and 73% had no training to respond to animal welfare in disasters. Budgets, trained personnel, equipment/supplies and legal authority were the most frequently identified gaps.
4.\t Conclusion
a.\tThe survey demonstrated there is a wide range of European Member Countries capacity to respond to animal welfare in natural disasters. This provides the baseline for the OIE Platform for Animal Welfare Europe to provide focused and actionable support to Member Countries.
Key words: Disaster, Animal Welfare
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ab583b75-4248-49c2-9dc2-9a85157ba4aa","Title":"Prof.","FirstName":"Gary","LastName":"Vroegindewey","Position":"Director","Affiliations":"2","IsPresenting":true,"SortOrder":1,"DisplayName":"Vroegindewey G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab583b75-4248-49c2-9dc2-9a85157ba4aa","Number":1,"Affiliation":"Lincoln Memorial University College Of Veterinary Medicine","City":"Sanibel","State":"FL","Country":"USA","AffiliationDisplay":"Lincoln Memorial University College Of Veterinary Medicine, Sanibel FL, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ab583b75-4248-49c2-9dc2-9a85157ba4aa","Number":2,"Affiliation":"World Organization for Animal Health (OIE)","City":"Paris","State":null,"Country":"France","AffiliationDisplay":"World Organization for Animal Health (OIE), Paris, France"}],"AuthorsHtml":"Vroegindewey G2","AffiliationsHtml":"
1Lincoln Memorial University College Of Veterinary Medicine, Sanibel FL, USA
2World Organization for Animal Health (OIE), Paris, France
"}],"DisplayName":"Gary Vroegindewey","TimeDisplay":null},{"ContactId":"fc27a6a8-387b-4bd7-8e20-613a44756334","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Cecilie","LastName":"Walde","Position":"Phd-candidate/researcher","Organization":"Norwegian Veterinary Institute","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9c0c15f1da8e4613b4ff196f35461796","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"How current treatments for removal of salmon lice seriously affects their hosts, Atlantic salmon (Salmo salar)","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"230e48f5-c7fd-47a9-8b8c-6569f407af89","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.B - Epidemiologic studies in specific species (Aquatic animals)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Html":null,"PlainText":"Keywords: Atlantic salmon, salmon lice, non-medicinal treatment, mortality, growth

Farmed salmon is the third most valuable export product in Norway, after natural gas and oil. One of the highest cost for the Norwegian salmonid aquaculture industry is management of salmon lice. The most applied treatments for removal of lice are non-medicinal, and involves bathing the fish in heated water or flushing/brushing the lice off the fish. We have performed a study with the objective of estimating distributions of change in mortality and growth rates after treatments for removal of salmon lice.

Three large Norwegian aquaculture companies supplied daily production data for 124 farms, from 2014 to 2019. From these data, we calculated the mortality rate after 3 311 non-medicinal treatments, and by using the formula for thermal growth coefficient, calculated daily growth rate after 1 413 non-medicinal treatments, thereby finding cage-level mortality and growth rate distributions. Effects of treatments were estimated using mixed effect linear regression.

Mortality distributions after non-medicinal treatments show wide variability, and are positively skewed, implying episodes of severe elevated mortality after treatment. A median of 790-928 out of 150 000 fish dies within two weeks after one non-medicinal treatment. These treatments also have a significant negative effect on growth rate, where estimated reduction is about 44-47 grams per fish for a seven-day period after treatment, adding up to 178 grams per fish including a seven-day pre-treatment starvation period.

The non-medicinal treatments cause serious side effects to the hosts. When deciding the optimal control strategy, information on current treatment strategies and their effect and side effects is essential. These results will be used as input for stochastic modelling of the expected economic impact of treatments for removal of salmon lice.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Title":"Mrs.","FirstName":"Cecilie","LastName":"Walde","Position":"Phd-candidate/researcher","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Walde C"},{"PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Title":"Dr","FirstName":"Marit","LastName":"Stormoen","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Stormoen M"},{"PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Title":"Dr","FirstName":"Jostein","LastName":"Mulder Pettersen","Position":"Senior Scientist Clinical R&D","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Mulder Pettersen J"},{"PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Title":"Mr.","FirstName":"David","LastName":"Persson","Position":"Assistent Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Persson D"},{"PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Title":"Dr","FirstName":"Magnus","LastName":"Vikan Røseg","Position":"Researcher","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Vikan Røseg M"},{"PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Title":"Dr.","FirstName":"Britt","LastName":"Bang Jensen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Bang Jensen B"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Number":1,"Affiliation":"Norwegian Veterinary Institute","City":"Ås","State":null,"Country":"Norway","AffiliationDisplay":"Norwegian Veterinary Institute, Ås, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Number":2,"Affiliation":"Norwegian University of Life Sciences","City":"Ås","State":null,"Country":"Norway","AffiliationDisplay":"Norwegian University of Life Sciences, Ås, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Number":3,"Affiliation":"Pharmaq AS","City":"Oslo","State":null,"Country":"Norway","AffiliationDisplay":"Pharmaq AS, Oslo, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bcde85bb-eee5-4056-b1f3-ecc984f414a0","Number":4,"Affiliation":"SalMar ASA","City":"Frøya","State":null,"Country":"Norway","AffiliationDisplay":"SalMar ASA, Frøya, Norway"}],"AuthorsHtml":"Walde C1, Stormoen M2, Mulder Pettersen J3, Persson D2, Vikan Røseg M4, Bang Jensen B1","AffiliationsHtml":"
1Norwegian Veterinary Institute, Ås, Norway
2Norwegian University of Life Sciences, Ås, Norway
3Pharmaq AS, Oslo, Norway
4SalMar ASA, Frøya, Norway
"},{"Title":"Evaluating syndromic surveillance at farm level in aquaculture: outbreak detection of an endemic disease in Norwegian salmon production","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"9dce1f48-4861-48a3-9f11-f7481502de72","Html":null,"PlainText":"Objective: To evaluate the performance of a syndromic surveillance system for detecting salmon pancreas disease (PD) outbreaks at farm-level.
Materials and methods: The study population consisted of marine farms producing Atlantic salmon in a PD-endemic area in Norway. We applied temporal aberration detection to data reported monthly by farmers. Using data from 2014-2017, we trained a generalized linear model with individual fish mortality for each farm-month as the outcome, and fish weight, salmon lice treatments, and temperature as predictors, along with an offset for the number of fish at risk. We included auto-regressive components for fish mortality to capture the temporal dependency within each cohort. We then used data from 2018-2021 to parameterize and validate the model performance prospectively against the current national PD surveillance programme (based on laboratory and clinical findings).
Results: The balance between sensitivity and specificity was optimized when alarms were defined as a fixed cut-off of 2% mortality per farm-month, observed mortality was above the 95% confidence interval for model predictions, and when potential outbreaks were defined as 3 consecutive months of alarms. Under these settings, alarms generated for the testing set (210 cohorts) were classified as: true positive = 70, false positive = 60, true negative = 67 and false negative = 13. Thus, the detection using the alarms had high sensitivity (0.84), low specificity (0.53) and a high false positive rate (0.47). Positive and negative predictive values were 0.54 and 0.84, respectively. Out of the 70 true positives, the median time to detection by alarms was one month after the current surveillance system (IQR -3 − 4 months).
Conclusion: Our results indicate that the system is useful for monitoring mortality at farm-level, but signals are unspecific if evaluated against an individual disease (PD).
Keywords: Syndromic surveillance, mortality, aquaculture, Salmo salar, pancreas disease
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9dce1f48-4861-48a3-9f11-f7481502de72","Title":"Dr.","FirstName":"Victor","LastName":"Oliveira","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Oliveira V"},{"PresentationId":"9dce1f48-4861-48a3-9f11-f7481502de72","Title":"Dr","FirstName":"Fernanda","LastName":"Dórea","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Dórea F"},{"PresentationId":"9dce1f48-4861-48a3-9f11-f7481502de72","Title":"Dr.","FirstName":"Katharine","LastName":"Dean","Position":"Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Dean K"},{"PresentationId":"9dce1f48-4861-48a3-9f11-f7481502de72","Title":"Dr.","FirstName":"Britt","LastName":"Bang Jensen","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Bang Jensen B"},{"PresentationId":"9dce1f48-4861-48a3-9f11-f7481502de72","Title":"Mrs.","FirstName":"Cecilie","LastName":"Walde","Position":"Phd-candidate/researcher","Affiliations":null,"IsPresenting":true,"SortOrder":4,"DisplayName":"Walde C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9dce1f48-4861-48a3-9f11-f7481502de72","Number":1,"Affiliation":"Norwegian Veterinary Institute","City":"Ås","State":"Viken","Country":"Norway","AffiliationDisplay":"Norwegian Veterinary Institute, Ås Viken, Norway"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9dce1f48-4861-48a3-9f11-f7481502de72","Number":2,"Affiliation":"Swedish National Veterinary Institute","City":"Uppsala","State":"Uppsala","Country":"Sweden","AffiliationDisplay":"Swedish National Veterinary Institute, Uppsala Uppsala, Sweden"}],"AuthorsHtml":"Oliveira V1, Dórea F2, Dean K1, Bang Jensen B1, Walde C","AffiliationsHtml":"
1Norwegian Veterinary Institute, Ås Viken, Norway
2Swedish National Veterinary Institute, Uppsala Uppsala, Sweden
"}],"DisplayName":"Cecilie Walde","TimeDisplay":null},{"ContactId":"6019271d-20a9-4461-b6fd-79976893577a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Emil","LastName":"Walleser","Position":null,"Organization":"University of Wisconsin","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Determination of hyperketonemia in dairy cattle using milk analysis, recurrent neural networks, and ensemble modeling","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"2e5cf67a-5559-422f-9a78-2d83d80d539c","Date":"2022-08-11T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 9.C - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 503","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"6805dad1-ae7a-4c68-a0a3-23243f916445","Html":null,"PlainText":"Keywords: Dairy, Hyperketonemia, FTIR, ensembles, recurrent neural networks

Objectives:
Identification of hyperketonemia in dairy cattle is an important part of transition cow care. While blood sampling provides accurate measurement for blood beta-hydroxybutyrate (BHB), it requires significant labor resources. Alternatively, milk sample analysis using infrared spectroscopy (FTIR) permits indirect prediction of hyperketonemia. As datasets become larger, higher capacity models such as neural networks become viable options to generate prediction models. Recurrent neural networks (RNNs) used to model sequence data, could also be applied to spectral data that have a distinct ordering. Additionally, the combination of multiple models can improve overall prediction performance. Our objectives were to develop and compare classification models for hyperketonemia using an RNN model, ensembles of multiple models, and contemporary modeling options.

Materials and Methods:
A total of 14,588 blood and milk samples were collected from German dairy cattle between 2015 and 2021. Model input data included FTIR variables, cow information, and measured blood values for BHB. Contemporary models, RNN, and model ensembles were created for the prediction of hyperketonemia. Prediction performance results were quantified using a 5 fold cross-validation process.

Results:
Previous results have demonstrated improved performance of model ensembles over individual models where we have seen an improved performance of ensembling conventional models, over individual model results. Additionally, ensemble models exhibit lower performance variance compared to cross-validation subsets. Here we present the extension of ensemble modeling to include deep learning ensembles and an alternative approach utilizing RNNs.

Conclusion:
Continued research into prediction modeling of hyperketonemia using FTIR-based data improves the accuracy and reliability of milk sample classification. The utilization of model ensembling improves the performance of such models for the benefit of cow wellbeing.
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1University Of Wisconsin Madison School Of Veterinary Medicine, Madison Wi, USA
2Milchprüfring Bayern e. V. (Bavarian Association for Raw Milk Testing), Wolnzach, Germany
3LKV Bayern e. V. (Dairy Herd Improvement Association of Bavaria), Munich, Germany
"}],"DisplayName":"Emil Walleser","TimeDisplay":null},{"ContactId":"4a0eb9b2-3ede-4be1-a590-5ebc50252d8a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Michael","LastName":"Ward","Position":"Chair, Veterinary Public Health","Organization":"Sydney School of Veterinary Science","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/80277f5d9d15439aa3fa97709092ff20","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Risk factors for the spread of African Swine Fever in China:\r\nA Systematic Review of Chinese-language literature","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"d2c4990c-9245-49a0-9e88-080f2b5f8066","Html":null,"PlainText":"Objectives
The purpose of this systematic review was to identify the potential knowledge gap in the English literature on the spread and risk factors for ASF in outbreaks that occurred in China, 2018-2020.

Materials and methods
China National Knowledge Infrastructure (CNKI) was searched as the primary database. Sixty-four records were screened, and 31 (48%) records were included in data extraction. These records were also assessed for quality of evidence. Frequency tables for stated modes of transmission and reported risk factors were created, considering quality of evidence. A narrative summary of mortality rate and case fatality rate reported in a small number of records was made.

Results
Mortality rate was reported in seven studies, ranging from 3.7% to 84.0% (median 11.9%). Case fatality rate was reported in six studies, ranging from 20.6% to 100% (median 63.3%). Based on reviewed reports, vehicle and live pig transport were the most likely mode of transmission contributing to the ASF epidemic in China, whereas low biosecurity and swill feeding were the two most important risk factors. In the 24 studies that reported the mode of transmission, the tick-domestic pig transmission route was stated in nine and the wild pig-domestic pig transmission route was reported in seven. However, limited evidence was provided to support the tick-domestic pig or wild pigdomestic pig transmission routes. Lack of resources in disease control was mentioned five times in the 22 studies that reported risk factors, especially in remote rural areas.

Conclusion
To effectively control the spread of ASF it is very important to reduce mechanical dissemination of ASFV by vehicles involved in the production cycle and to ensure that transported pigs are always subject to inspection and quarantine. Additionally, strict implementation of prohibition of swill feeding can greatly contribute to disease prevention.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d2c4990c-9245-49a0-9e88-080f2b5f8066","Title":"Ms","FirstName":"Jieming","LastName":"Cheng","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Cheng J"},{"PresentationId":"d2c4990c-9245-49a0-9e88-080f2b5f8066","Title":"Prof.","FirstName":"Michael","LastName":"Ward","Position":"Chair, Veterinary Public Health","Affiliations":"1","IsPresenting":true,"SortOrder":2,"DisplayName":"Ward M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d2c4990c-9245-49a0-9e88-080f2b5f8066","Number":1,"Affiliation":"Sydney School of Veterinary Science","City":"Narellan","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, Narellan NSW, Australia"}],"AuthorsHtml":"Cheng J1, Ward M1","AffiliationsHtml":"
1Sydney School of Veterinary Science, Narellan NSW, Australia
"},{"Title":"Canine leptospirosis clusters during an outbreak in Sydney and the role of population demographics","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"00fbcd54-1337-4964-92aa-173af53dc07a","Date":"2022-08-12T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 12.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"0f9a5599-f8f3-4e77-a3af-349bab6f4ad6","Html":null,"PlainText":"Objectives
To determine if clusters of canine leptospirosis occurred during an outbreak in the City of Sydney, 2017-2020.

Methods
Administrative data on the canine population were collected via registrations and mapped. Clusters of leptospirosis cases were detected using a retrospective space-time analysis using the discrete Poisson probability statistical model.

Results
The Sydney dog population had a significantly lower registration rate (55.6%, 95% CI 51.8-58.1%) than the Australian national average (80%). The distribution of dog types was significantly (P<0.0001) different to that of the national profile (with a distinct preference for companion dogs) and the age distribution was relatively uniform. A total of 13 cases of canine leptospirosis was reported. A primary disease cluster (radius 1.1 km, see Figure) in the eastern area of Sydney was identified (4 cases observed between 24 May and 9 August 2019 versus 0.10 cases expected, P = 0.0450). When adjusted for the age, breed type and sex distribution of the population, similar or larger clusters (in the case of age adjustment, seven cases observed between 28 June and 11 November 2019 versus 0.34 cases expected, P = 0.0025) were identified.

Conclusions
The presence of clusters of canine leptospirosis in the City of Sydney during this outbreak, which persisted after adjustment for demographic factors (age, sex, breed type), suggest that other factors - such as environmental factors - might be responsible for the emergence of leptospirosis. There are several potential reservoir hosts of Leptospira which inhabit this area, and their Leptospira status should be investigated.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"0f9a5599-f8f3-4e77-a3af-349bab6f4ad6","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/19e032a8b6f14e759e139e2b064742c0","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"0f9a5599-f8f3-4e77-a3af-349bab6f4ad6","Title":"Mr","FirstName":"James","LastName":"Gong","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Gong J"},{"PresentationId":"0f9a5599-f8f3-4e77-a3af-349bab6f4ad6","Title":"Dr","FirstName":"Christine","LastName":"Griebsch","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Griebsch C"},{"PresentationId":"0f9a5599-f8f3-4e77-a3af-349bab6f4ad6","Title":"Dr","FirstName":"Nicole","LastName":"Kirkwood","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Kirkwood N"},{"PresentationId":"0f9a5599-f8f3-4e77-a3af-349bab6f4ad6","Title":"Prof","FirstName":"Jacqui","LastName":"Norris","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Norris J"},{"PresentationId":"0f9a5599-f8f3-4e77-a3af-349bab6f4ad6","Title":"Prof.","FirstName":"Michael","LastName":"Ward","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Ward M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0f9a5599-f8f3-4e77-a3af-349bab6f4ad6","Number":1,"Affiliation":"Sydney School of Veterinary Science","City":"Narellan","State":"NSW","Country":"Australia","AffiliationDisplay":"Sydney School of Veterinary Science, Narellan NSW, Australia"}],"AuthorsHtml":"Gong J1, Griebsch C1, Kirkwood N1, Norris J1, Ward M1","AffiliationsHtml":"
1Sydney School of Veterinary Science, Narellan NSW, Australia
"}],"DisplayName":"Michael Ward","TimeDisplay":null},{"ContactId":"8f5eeff4-8453-42c3-9e32-dda8375cc39e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Landon","LastName":"Warder","Position":"Phd Candidate","Organization":"Atlantic Veterinary College","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Changes in antimicrobial use on Canadian dairy farms between 2007-2008 and 2018-2020","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Html":null,"PlainText":"Objective
Antimicrobial use (AMU) in food animals is under ever-increasing scrutiny. Since efforts have been made to reduce AMU in the Canadian dairy industry over the past decade, evaluating how these interventions have altered AMU is key for guiding antimicrobial stewardship. The objectives of this study were to assess changes in AMU between 2007-2008 and 2018-2020 and the factors associated with AMU by the Canadian dairy industry.
Materials and methods
Data from garbage can audits (GCA) on dairy farms from Alberta, Ontario, Québec, and the Maritime provinces were compared. These GCAs were conducted during two periods: 1) 2007-2008, and 2) 2018-2020. Count data were converted to defined daily doses (DDD), a unit used to standardize dosages among antimicrobials. AMU across regions was quantified as a treatment incidence as DDD/100 animal-years. DDDs denote the number of days of treatment during the observation period. Regression models were used to determine the probability of a chemical class of antimicrobial being used on a farm, and the amount used in the event it was used. Factors considered were the time, region, chemical class, average somatic cell count (SCC), and the number of cattle.
Results
Overall, AMU decreased from 1218 (95% CI: 1048, 1416) DDD/100 animal-years in 2007-2008 to 646 (95% CI: 585, 714) DDD/100 animal-years in 2018-2020. However, third-generation cephalosporin use did not change significantly 41 (95% CI: 31, 54) DDD/100 animal-years to 46 (95% CI: 38, 56) DDD/100 animal-years. Québec had the highest overall AMU of the four regions at both time points. Large herds tended to have lower AMU rates, but average SCC had no significant correlation with usage.
Conclusions
AMU on Canadian dairy farms has significantly decreased between 2008 and 2018. However, third-generation cephalosporin use has not decreased in any jurisdiction assessed, and this should be addressed in the future.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Title":"Mr.","FirstName":"Landon","LastName":"Warder","Position":"Phd Candidate","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Warder L"},{"PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Title":"Dr","FirstName":"Luke","LastName":"Heider","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Heider L"},{"PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Title":"Mr.","FirstName":"David","LastName":"Leger","Position":"Veterinary Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Leger D"},{"PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Title":"Dr.","FirstName":"Daniella","LastName":"Rizzo","Position":"Epidemiologist","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Rizzo D"},{"PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Title":"Prof.","FirstName":"Simon","LastName":"Dufour","Position":"Professor of Epidemiology","Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Dufour S"},{"PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Title":"Dr.","FirstName":"Herman","LastName":"Barkema","Position":"Professor","Affiliations":"4","IsPresenting":false,"SortOrder":6,"DisplayName":"Barkema H"},{"PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Title":"Mr.","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"Sanchez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Number":1,"Affiliation":"Department of Health Management, Atlantic Veterinary College","City":"Mt. Stewart","State":"Prince Edward Island","Country":"Canada","AffiliationDisplay":"Department of Health Management, Atlantic Veterinary College, Mt. Stewart Prince Edward Island, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Number":2,"Affiliation":"Public Health Agency of Canada","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"Public Health Agency of Canada, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Number":3,"Affiliation":"Faculté de Médecine Vétérinaire, Unversité de Montréal","City":"St. Hyancinthe","State":"Québec","Country":"Canada","AffiliationDisplay":"Faculté de Médecine Vétérinaire, Unversité de Montréal, St. Hyancinthe Québec, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"80ebaaed-d207-47db-aca3-7aa502eb785a","Number":4,"Affiliation":"Faculty of Veterinary Medicine, University of Calgary","City":"Calgary","State":"Alberta","Country":"Canada","AffiliationDisplay":"Faculty of Veterinary Medicine, University of Calgary, Calgary Alberta, Canada"}],"AuthorsHtml":"Warder L1, Heider L1, Leger D2, Rizzo D2, Dufour S3, Barkema H4, Sanchez J1","AffiliationsHtml":"
1Department of Health Management, Atlantic Veterinary College, Mt. Stewart Prince Edward Island, Canada
2Public Health Agency of Canada, Guelph Ontario, Canada
3Faculté de Médecine Vétérinaire, Unversité de Montréal, St. Hyancinthe Québec, Canada
4Faculty of Veterinary Medicine, University of Calgary, Calgary Alberta, Canada
"},{"Title":"The impact of negative energy balance on the diversity of the enteric microbiome of dairy cattle ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"000e7006-a4de-44ac-9754-75b14228ffca","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.A - Production diseases","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"65da7421-7b21-4df2-8652-8eef4b998843","Html":null,"PlainText":"Objective
The bidirectional relationship between the enteric microbiome of dairy cattle and host metabolism is an important factor to consider in animal welfare, production, and greenhouse gas emissions. One factor affecting microbiotic diversity is gut motility, which is impaired during ketosis.
Materials and methods
In the present study, blood, and manure samples were collected 1-3 weeks prepartum and 2-4 weeks postpartum from 125 dairy cattle on Prince Edward Island, Canada. Prepartum blood samples were tested for the concentration of non-esterified fatty acids (NEFA), while postpartum blood was tested for beta-hydroxybutyrate (BHB) concentration. 16S rRNA was sequenced and processed in Qiime2 to determine the microbiotic composition and diversity. A mixed-effect linear regression model was fitted to determine the relationship between postpartum enteric microbiotic diversity, prepartum diversity, postpartum blood BHB, and prepartum blood NEFA, with the farm as a random effect.
Results
All three independent variables had a significant, positive relationship with postpartum, enteric, microbiotic diversity. Prepartum diversity was the most significant (p = 0.001), followed by prepartum blood NEFA concentration (p = 0.004), then postpartum blood BHB concentration (p = 0.038). The intraclass correlation was 0.29, indicating considerable clustering within the farms due to similar diet, housing, and microbiotic exchange.
Conclusion
Persistent energy deficits are associated with increased enteric microbiome diversity, guiding management practices to increase beneficial bacteria. This indicates that prepartum factors persistently affect the enteric microbiome into lactation. Future research can look to determine specific microbiotic features that are linked to energy status in cattle. ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"65da7421-7b21-4df2-8652-8eef4b998843","Title":"Mr.","FirstName":"Landon","LastName":"Warder","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Warder L"},{"PresentationId":"65da7421-7b21-4df2-8652-8eef4b998843","Title":"Dr. ","FirstName":"Luke C. ","LastName":"Heider","Position":"Associate professor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Heider L"},{"PresentationId":"65da7421-7b21-4df2-8652-8eef4b998843","Title":"Dr.","FirstName":"Ana Soffia","LastName":"Jaramillo","Position":"PhD student","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Jaramillo A"},{"PresentationId":"65da7421-7b21-4df2-8652-8eef4b998843","Title":"Dr. ","FirstName":"Mariana ","LastName":"Fonseca","Position":"PhD Student","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Fonseca M"},{"PresentationId":"65da7421-7b21-4df2-8652-8eef4b998843","Title":"Dr. ","FirstName":"Javier","LastName":"Sanchez","Position":"Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Sanchez J"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"65da7421-7b21-4df2-8652-8eef4b998843","Number":1,"Affiliation":"Atlantic Veterinary College","City":"Charlottetown","State":"PE","Country":"Canada","AffiliationDisplay":"Atlantic Veterinary College, Charlottetown PE, Canada"}],"AuthorsHtml":"Warder L1, Heider L1, Jaramillo A1, Fonseca M1, Sanchez J1","AffiliationsHtml":"
1Atlantic Veterinary College, Charlottetown PE, Canada
"}],"DisplayName":"Landon Warder","TimeDisplay":null},{"ContactId":"2c35c3f0-ee9f-4bdf-9269-65bb7325bcf8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Erwin","LastName":"Wauters","Position":"Senior Researcher","Organization":"Flanders Research Institute For Agriculture, Fisheries And Food - Social Sciences Unit","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/717968f4026d42a58675bb72c84df57a","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Understanding antimicrobial use in the Flemish veal and pig sector: an application of systems approaches","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"fed60e75-0891-4e69-87f0-8ab310b72718","Html":null,"PlainText":"Objectives
In order to contain AMR, policymakers have primarily adopted a mission-oriented approach for reducing antimicrobial use (AMU) in human and veterinary medicine. In animal production, all eyes are on farmers and their veterinarians to achieve AMU reduction goals. However, these actors operate within a larger system in which they are interwoven with other actors. Our objective is to analyse the innovative capacity of the Flemish pig and calf production systems to determine whether the actors are well equipped to achieve the AMU targets in Belgium or whether there are systemic barriers that could prevent them from doing so.

Materials and methods
Fifteen key informant interviews were recorded, transcribed and coded. This was supplemented with white and grey literature and quantitative data (e.g. AMU data) and qualitative focus group data from five online living labs conducted in both sectors, and comprising all main stakeholders for both sectors. This data has been analyzed through thematic analysis, guided by an adapted framework based on mission-oriented agricultural innovation systems. The approach includes a structural and functional analysis of both production systems, allowing for an understanding of the roles of and interactions between stakeholders, capacities, market structures and institutions in the context of AMU.

Results
The functional analysis is currently being performed. At this stage, several barriers to i.e. entrepreneurial activities, market formation and destabilization and resources (re)allocation have been identified across both case studies. These results will subsequently be translated in causal loop diagrams to better visualize the processes that influence AMU.

Conclusion
Our objective is to identify systemic barriers to AMU reductions and their impact on actors within Flemish pig and calf production systems. This information would allow policy makers and others to adapt current strategies to overcome the identified barriers, which, in turn, should facilitate the achievement of the set objectives.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"fed60e75-0891-4e69-87f0-8ab310b72718","Title":"Ms.","FirstName":"Fanny","LastName":"Baudoin","Position":"Doctoral student","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Baudoin F"},{"PresentationId":"fed60e75-0891-4e69-87f0-8ab310b72718","Title":"Prof","FirstName":"Henk","LastName":"Hogeveen","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Hogeveen H"},{"PresentationId":"fed60e75-0891-4e69-87f0-8ab310b72718","Title":"Dr.","FirstName":"Erwin","LastName":"Wauters","Position":"Senior Researcher","Affiliations":null,"IsPresenting":true,"SortOrder":3,"DisplayName":"Wauters E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"fed60e75-0891-4e69-87f0-8ab310b72718","Number":1,"Affiliation":"Ilvo (flanders Research Institute For Agriculture, Fisheries And Food)","City":"Merelbeke","State":"East-Flanders","Country":"Belgium","AffiliationDisplay":"Ilvo (flanders Research Institute For Agriculture, Fisheries And Food), Merelbeke East-Flanders, Belgium"}],"AuthorsHtml":"Baudoin F1, Hogeveen H, Wauters E","AffiliationsHtml":"
1Ilvo (flanders Research Institute For Agriculture, Fisheries And Food), Merelbeke East-Flanders, Belgium
"},{"Title":"Fifteen years of social veterinary epidemiology – a review and recommendations for the next 15 years.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"81b6468d-38a2-4f06-ba00-ba54f34eef5e","Date":"2022-08-10T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 7.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Wednesday, August 10, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"bfa12c3e-d406-4ec0-acea-457038f88a49","Html":null,"PlainText":"Objective(s)
The last 15 years, there has been a surge of studies that integrate social sciences in animal health research. More specifically, research on human behavior affecting the causes, spread, prevention and control of animal diseases has emerged, since it was recognized as a necessity by various stakeholders who noted difficulties in implementing scientific outcomes. We aim to characterize this field for which we propose the name of Social Veterinary Epidemiology (SVE) by reviewing the existing literature to: (i) identify general tendencies, (ii) characterize and review methods and approaches used, and (iii) provide recommendations for future studies.
Materials and methods
Over 200 papers until end of 2021 were identified by using a collection of selected keywords, namely “animal health”, “behaviour farmers”, “animal disease”, “intervention adoption”, synonyms and alternative combinations. The search was carried out in common search databases, combined with backward and forward reference/author search. The papers were analysed using a heuristic framework to characterize the topics and the methodological approaches.
Results
Preliminary results show that most studies focus on zoonosis or diseases with economic impact in European pig and cattle production, although a shift in focus could be observed. In terms of content, the emphasis is on characterizing farmers’ or veterinarians’ behaviour. The majority of studies did not use any behavioural framework from the social sciences, leaving the studies prone to different types of biases. Further, intervention studies were very scarce.
Conclusion
We recommend that new research (1) emphasizes on understanding the systems in which farmers and others work through system thinking, as opposed to a conceptualization of behavior as being determined on the individual level; (2) applies a more holistic view on behavioural change, including economic incentives, provisions, regulations and social norms; (3) conducts more behavioural and experimental intervention studies.


Keywords: social veterinary epidemiology, human behaviour, attitudes, perceptions
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"bfa12c3e-d406-4ec0-acea-457038f88a49","Title":"Dr.","FirstName":"Erwin","LastName":"Wauters","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Wauters E"},{"PresentationId":"bfa12c3e-d406-4ec0-acea-457038f88a49","Title":null,"FirstName":"Fanny","LastName":"Baudoin","Position":"Doctoral student","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Baudoin F"},{"PresentationId":"bfa12c3e-d406-4ec0-acea-457038f88a49","Title":"Dr. ","FirstName":"Helena","LastName":"Ferreira","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Ferreira H"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"bfa12c3e-d406-4ec0-acea-457038f88a49","Number":1,"Affiliation":"Flanders Research Institute For Agriculture, Fisheries And Food - Social Sciences Unit","City":"Merelbeke","State":"Oost-vlaanderen","Country":"Belgium","AffiliationDisplay":"Flanders Research Institute For Agriculture, Fisheries And Food - Social Sciences Unit, Merelbeke Oost-vlaanderen, Belgium"}],"AuthorsHtml":"Wauters E1, Baudoin F1, Ferreira H1","AffiliationsHtml":"
1Flanders Research Institute For Agriculture, Fisheries And Food - Social Sciences Unit, Merelbeke Oost-vlaanderen, Belgium
"}],"DisplayName":"Erwin Wauters","TimeDisplay":null},{"ContactId":"9cf41b25-d12d-4cf5-b9a2-003a0beaae70","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Colleen","LastName":"Webb","Position":null,"Organization":"","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":"Dr. Colleen Webb is a Professor of Biology at Colorado State University. She currently serves as the Associate Dean for the Graduate School. Her lab addresses how heterogeneity in contact patterns impacts the spread and persistence of diseases with a particular focus on zoonotic diseases at the wildlife-livestock -human interface. The Webb lab uses data-driven modeling techniques to address these questions by developing models incorporating potential mechanisms of spread and associated data sets that can be used to test hypothesized mechanisms. Her group has worked on diseases of concern for livestock like bovine tuberculosis, foot and mouth disease and avian influenza, as well as zoonotic diseases in their wildlife reservoirs such as rabies in bats and plague in prairie dogs.

","Presentations":[{"Title":"Using multi-model ensembles to forecast foot and mouth disease outbreaks","Bio":"Dr. Colleen Webb is a Professor of Biology at Colorado State University. She currently serves as the Associate Dean for the Graduate School. Her lab addresses how heterogeneity in contact patterns impacts the spread and persistence of diseases with a particular focus on zoonotic diseases at the wildlife-livestock -human interface. The Webb lab uses data-driven modeling techniques to address these questions by developing models incorporating potential mechanisms of spread and associated data sets that can be used to test hypothesized mechanisms. Her group has worked on diseases of concern for livestock like bovine tuberculosis, foot and mouth disease and avian influenza, as well as zoonotic diseases in their wildlife reservoirs such as rabies in bats and plague in prairie dogs. \r\n\r\n","PresentationTypeName":"Special Session - Oral Presentation","Session":{"Id":"a2e9d146-090f-4806-9173-28a92bbc0dfd","Date":"2022-08-12T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"11_Special Session: Animal Disease Spread Modelling","Location":"Halifax Convention Centre │Ballroom B2","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"390ff919-dd15-495c-9556-f7e4cf5fbe1a","Html":null,"PlainText":"Objective

Mathematical models are increasingly used as tools for policy makers to understand, study, and forecast infectious disease outbreaks. However, it can be challenging to select a single model on which to base decisions, particularly when multiple, high-quality models provide different predictions. This problem is exacerbated by limited outbreak data, e.g., when the outbreak is ongoing. Multi-model ensemble methods provide a standardized and transparent way of producing a single, interpretable projection from multiple model outputs. This methodology, frequently and successfully used in other fields, has rarely been applied to veterinary epidemiology. Foot and mouth disease (FMD) is a major transboundary animal disease of interest to policy makers. Here we use FMD outbreaks to explore the use of an ensemble modeling method in veterinary epidemiology.

Materials and Methods

We developed the Bayesian Reliability Ensemble Average method (BREA) for use in epidemiological forecasting. The multiple models used in the ensemble are all well-established, and independently developed FMD simulation models that have been used in a policy context globally. With these models and data from multiple FMD outbreaks, we explored whether the BREA methodology improves the accuracy of forecasts early in FMD outbreaks before the outcome is known and when data are limited.

Results

Our results show that the BREA method can capture the observed data from multiple different FMD outbreaks and performs better than any single model alone. We also find that this result holds even when the models are provided with only the first two weeks of outbreak data.

Conclusion

These results suggest that the BREA method is a powerful tool for epidemiological applications where outbreak data are limited, reducing confusion by presenting a single, interpretable prediction. Ensemble modeling could therefore provide a rigorous approach to preparedness and response planning, which would benefit animal health globally.

Keywords: ensemble modeling, forecast, epidemiology","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"390ff919-dd15-495c-9556-f7e4cf5fbe1a","Title":"Dr.","FirstName":"Lindsay","LastName":"Beck-Johnson","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Beck-Johnson L"},{"PresentationId":"390ff919-dd15-495c-9556-f7e4cf5fbe1a","Title":"Dr.","FirstName":"Tom","LastName":"Lindström","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Lindström T"},{"PresentationId":"390ff919-dd15-495c-9556-f7e4cf5fbe1a","Title":"Dr.","FirstName":"Colleen","LastName":"Webb","Position":null,"Affiliations":null,"IsPresenting":true,"SortOrder":3,"DisplayName":"Webb C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"390ff919-dd15-495c-9556-f7e4cf5fbe1a","Number":1,"Affiliation":"Colorado State University","City":"Fort Collins","State":"CO","Country":"USA","AffiliationDisplay":"Colorado State University, Fort Collins CO, USA"}],"AuthorsHtml":"Beck-Johnson L1, Lindström T, Webb C","AffiliationsHtml":"
1Colorado State University, Fort Collins CO, USA
"}],"DisplayName":"Colleen Webb","TimeDisplay":null},{"ContactId":"ee30e845-4b97-4787-ba60-c0d9329f82e8","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Marika","LastName":"Wenemark","Position":"Senior lecturer","Organization":"Linköping University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/2088fa30ac9e4deca24e448a21df0fea","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"“How are my age and cows related?” Cognitive interviewing as a tool to pretest survey questions in low-income settings ","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"0862b0d0-27f4-4e0c-b764-b82525142b47","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.A - Epidemiologic Principles and Methods","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Html":null,"PlainText":"Objectives
In a survey it is crucial that the respondents understand and answer the questions correctly to produce accurate and valuable results. Currently many surveys are underway in low- and middle-income countries to study how antimicrobial use in the livestock sector is driving resistance. Pretesting survey questions is important but is sometimes not performed due to limited time and resources. Cognitive interviewing is a pretesting method to give insights into the respondent’s way of interpreting and mentally processing the survey questions. It has previously been suggested that cognitive interviews may be difficult to use in some cultural settings. The aim of this study was to use cognitive interviews in a respondent-adjusted way to study how survey questions related to antimicrobial use are understood and answered by the respondents.

Material and methods
Interviews were conducted in Kenya and Uganda, with one interviewer and two notetakers in each country. We interviewed seven men and five women (age 28–68) with different socio-economic background and a variation in urban and rural settings. The participants were small-scale farmers with typically 3–15 animals (cows, pigs, goats or chickens). The interviews were conducted in Kiswahili in Kenya and Luganda in Uganda, except for one in English.

Results
The results were categorized into cognitive problems (problems in comprehension, retrieval, judgement or response) and other problems (unclear relevance, inappropriate assumptions, sensitive questions, problems in translation, phrasing or other interviewer mistakes). The results show that using cognitive interviewing, even with a small number of interviews and using interviewers with limited knowledge of cognitive interviewing, can identify many problems in survey questions.
Conclusion
From the experience of this study, we recommend the use of cognitive interviews also in situations involving many local languages and where time and resources are limited.

Keywords: Pretesting, Questionnaire, Cognitive interviewing
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Title":"Dr.","FirstName":"Marika","LastName":"Wenemark","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Wenemark M"},{"PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Title":"Dr.","FirstName":"Nicholas","LastName":"Ngwili","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Ngwili N"},{"PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Title":"Dr.","FirstName":"Dickson ","LastName":"Ndoboli","Position":null,"Affiliations":"2,3","IsPresenting":false,"SortOrder":3,"DisplayName":"Ndoboli D"},{"PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Title":"Dr.","FirstName":"Barbara ","LastName":"Wieland","Position":null,"Affiliations":"2,4,5","IsPresenting":false,"SortOrder":4,"DisplayName":"Wieland B"},{"PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Title":"Dr.","FirstName":"Kristina ","LastName":"Roesel","Position":null,"Affiliations":"2,6","IsPresenting":false,"SortOrder":5,"DisplayName":"Roesel K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Number":1,"Affiliation":"Department of Health, Medicine and Caring science, Linköping University","City":"Linköping","State":null,"Country":"Sweden","AffiliationDisplay":"Department of Health, Medicine and Caring science, Linköping University, Linköping, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Number":2,"Affiliation":"Animal and Human Health Program, International Livestock Research Institute","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"Animal and Human Health Program, International Livestock Research Institute, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Number":3,"Affiliation":"Central Diagnostic Laboratory, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University","City":"Kampala","State":null,"Country":"Uganda","AffiliationDisplay":"Central Diagnostic Laboratory, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Number":4,"Affiliation":"Institute of Virology and Immunology","City":"Mittelhäusern","State":null,"Country":" Switzerland","AffiliationDisplay":"Institute of Virology and Immunology, Mittelhäusern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Number":5,"Affiliation":"Department of Diseases and Pathobiology, Vetsuisse Faculty, University of Bern","City":"Bern","State":null,"Country":"Switzerland","AffiliationDisplay":"Department of Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"ecd7b881-710b-4f61-9877-4133d167a331","Number":6,"Affiliation":"Institute of Parasitology and Tropical Veterinary Medicine, Department of Veterinary Medicine, Freie Universität Berlin","City":"Berlin","State":null,"Country":"Germany","AffiliationDisplay":"Institute of Parasitology and Tropical Veterinary Medicine, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany"}],"AuthorsHtml":"Wenemark M1, Ngwili N2, Ndoboli D2,3, Wieland B2,4,5, Roesel K2,6","AffiliationsHtml":"
1Department of Health, Medicine and Caring science, Linköping University, Linköping, Sweden
2Animal and Human Health Program, International Livestock Research Institute, Nairobi, Kenya
3Central Diagnostic Laboratory, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda
4Institute of Virology and Immunology, Mittelhäusern, Switzerland
5Department of Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland
6Institute of Parasitology and Tropical Veterinary Medicine, Department of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
"}],"DisplayName":"Marika Wenemark","TimeDisplay":null},{"ContactId":"b0b6e0bb-3a54-443a-a041-e502a1fdd7dd","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Carri","LastName":"Westgarth","Position":"Senior Lecturer","Organization":"University of Liverpool","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/4358cd2df7f24800b555c9f2b0cc0343","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Owner and veterinary professionals differ in their perceptions of preventative and treatment healthcare needs in dogs","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0cb57a4-e82b-4ad8-8753-62079f423f47","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Html":null,"PlainText":"Objectives:
The perceptions of dog owners (DO) and veterinary professionals (surgeons/nurses, VP) can impact preventative healthcare and treatment provided to dogs, especially at the senior life stage, when age-related diseases become more common. This study investigated attitudes to dog healthcare and compared DO and VP.

Materials and methods:
Data from two online surveys (DO: N=636, VP: N=305) were used to compare the perceived need for veterinary visits, vaccinations and prevalence and importance of 48 clinical signs. DO were subdivided into two groups: those whose dog had experienced each sign (DOE), and those who had not (DOU). All DO and VP rated each sign on their urgency to seek veterinary advice. Groups were compared using descriptive statistics and chi-squared (post-hoc tests with Bonferroni correction).

Results:
DO most often believed a “healthy” senior dog (>7 years) should go to the vet once a year (46.5% DO vs. 25.2% VP, P<0.001) compared to VP who most often believed every 6 months (39.2% vs. 72.8%, P<0.001). 14.3% of DO would only take the dog if they got sick compared to only 0.3% of VP who believed this should be the case (P<0.001).
Nearly all VP (92%) believed that dogs of all ages should receive yearly vaccinations, however, 28% of owners’ dogs were not vaccinated in the previous year, and of these 33% did not believe that older dogs need vaccinations.
The three most common clinical signs were slowing down on walks (57% of dogs), dental tartar (53%) and being stiff on rising (50%). VP rated all signs as more important to seek care, and DOE rated the importance as lower than DOU (P<0.005).

Conclusion:
Dog owners and veterinary professionals differ in their opinions about canine healthcare seeking behaviour, highlighting the need for different educational initiatives, and more effective communication between DO and VP.
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Title":"Dr.","FirstName":"Lisa","LastName":"Wallis","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":1,"DisplayName":"Wallis L"},{"PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Title":"Dr.","FirstName":"Enikő","LastName":"Kubinyi","Position":"Senior researcher","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Kubinyi E"},{"PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Title":"Professor","FirstName":"Alan D.","LastName":"Radford","Position":"Professor in Infection Biology & Microbiomes","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Radford A"},{"PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Title":"Prof.","FirstName":"Alexander","LastName":"German","Position":"Professor of Small Animal Medicine","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"German A"},{"PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Title":"Dr.","FirstName":"Zoe","LastName":"Belshaw","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":5,"DisplayName":"Belshaw Z"},{"PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Title":"Dr.","FirstName":"Carri","LastName":"Westgarth","Position":"Senior Lecturer","Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Westgarth C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Number":1,"Affiliation":"Department of Livestock and One Health, University of Liverpool","City":"Neston","State":"Cheshire","Country":"United Kingdom","AffiliationDisplay":"Department of Livestock and One Health, University of Liverpool, Neston Cheshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Number":2,"Affiliation":"Department of Ethology, ELTE Eötvös Loránd University","City":"Budapest","State":"Budapest","Country":"Hungary","AffiliationDisplay":"Department of Ethology, ELTE Eötvös Loránd University, Budapest Budapest, Hungary"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"74570fad-6d4e-44c9-9737-06f1559c56cd","Number":3,"Affiliation":"EviVet Research Consultancy","City":"Nottingham","State":null,"Country":"United Kingdom","AffiliationDisplay":"EviVet Research Consultancy, Nottingham, United Kingdom"}],"AuthorsHtml":"Wallis L1,2, Kubinyi E2, Radford A1, German A1, Belshaw Z3, Westgarth C1","AffiliationsHtml":"
1Department of Livestock and One Health, University of Liverpool, Neston Cheshire, United Kingdom
2Department of Ethology, ELTE Eötvös Loránd University, Budapest Budapest, Hungary
3EviVet Research Consultancy, Nottingham, United Kingdom
"}],"DisplayName":"Carri Westgarth","TimeDisplay":null},{"ContactId":"43723f1e-0869-445b-b3c5-194d11b5f137","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Neil","LastName":"Wilkins","Position":"Risk Modeller","Organization":"Animal and Plant Health Agency","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A farm-to-consumption quantitative microbiological risk assessment for hepatitis E in pigs","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"606a7004-0a8b-4317-b142-596fb4934133","Date":"2022-08-11T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 8.D - Epidemiologic studies in specific species (Swine)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"802cb6b8-2d5a-4519-964e-afa45c85067f","Html":null,"PlainText":"Objectives: Zoonotic transmission is suspected to be responsible for increasing numbers of autochthonous hepatitis E cases in developed countries, with pigs regarded as the main hepatitis E virus (HEV) reservoirs. As part of the European Joint Programme funded project ‘BIOPIGEE’, a quantitative microbiological risk assessment (QMRA) is being developed to model the pathways, from farm to human consumption, for foodborne transmission of hepatitis E. The QMRA is part of a wider modelling framework that analyses the impact of biosecurity measures on the risk of human hepatitis E infection, as well as assessing their cost effectiveness.

Materials and methods: The QMRA links together farm and economic models developed by different European institutes (ANSES and AGES, respectively). The farm model outputs the prevalence of HEV-positive pigs entering slaughterhouses, which provides the input to the QMRA. The QMRA uses Monte Carlo simulations to model all subsequent stages in the pork supply chain, including slaughterhouse, preparation & consumption, and dose-response modules, incorporating processes such as cross contamination and thermal inactivation of HEV.

Results: The output of the QMRA is the probability of illness for each of four product types considered (sliced liver, liver pâté, pork cuts and minced meat), for the baseline scenario as well as under different biosecurity measures. These results are the input to an economic model, which assesses the cost effectiveness of these measures. Development of the QMRA has identified several key data gaps, which will help inform future HEV studies.

Conclusions: The work showcases a coordinated approach to the modelling of biosecurity measures for HEV across Europe and enables a more complete assessment of the effectiveness of these measures by policy makers, considering both prevalence reduction (in pigs and humans) as well as whether they offer an economically profitable return.

Keywords: pigs, risk assessment, hepatitis E virus, biosecurity","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"802cb6b8-2d5a-4519-964e-afa45c85067f","Title":"Dr","FirstName":"Neil","LastName":"Wilkins","Position":"Risk Modeller","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Wilkins N"},{"PresentationId":"802cb6b8-2d5a-4519-964e-afa45c85067f","Title":"Dr","FirstName":"Catherine","LastName":"McCarthy","Position":"Veterinary Risk Lead","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"McCarthy C"},{"PresentationId":"802cb6b8-2d5a-4519-964e-afa45c85067f","Title":"Dr","FirstName":"Robin","LastName":"Simons","Position":"Lead Risk Analyst","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Simons R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"802cb6b8-2d5a-4519-964e-afa45c85067f","Number":1,"Affiliation":"Animal and Plant Health Agency (APHA)","City":null,"State":null,"Country":"United Kingdom","AffiliationDisplay":"Animal and Plant Health Agency (APHA), United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"802cb6b8-2d5a-4519-964e-afa45c85067f","Number":2,"Affiliation":"Department for Environment, Food and Rural Affairs (DEFRA)","City":null,"State":null,"Country":"United Kingdom","AffiliationDisplay":"Department for Environment, Food and Rural Affairs (DEFRA), United Kingdom"}],"AuthorsHtml":"Wilkins N1, McCarthy C2, Simons R1","AffiliationsHtml":"
1Animal and Plant Health Agency (APHA), United Kingdom
2Department for Environment, Food and Rural Affairs (DEFRA), United Kingdom
"}],"DisplayName":"Neil Wilkins","TimeDisplay":null},{"ContactId":"bb0835ed-5c50-424a-af5a-c56822ff0a0f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Katriina","LastName":"Willgert","Position":"Phd Student","Organization":"University of Cambridge","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Transmission analysis of multiple spillovers of SARS-CoV-2 from humans to white-tailed deer","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"c4bcecfd-5953-4a5c-9d0c-254c3d6bae5f","Date":"2022-08-12T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 13.A - Molecular Epidemiology","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Friday, August 12, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Html":null,"PlainText":"The emergence of a novel pathogen in a susceptible population can result in rapid spread of infection within the population. High prevalence of SARS-CoV-2 infection in white-tailed deer has been reported in multiple locations, likely resulting from several human-to-deer transmission events followed by deer-to-deer transmission. Knowledge of the risk and direction of SARS-CoV-2 transmission between humans and potential reservoir hosts is essential for effective disease control and prioritisation of intervention measures. Using genomic data, we set out to reconstruct the transmission history of multiple spillovers of SARS-CoV-2 from human to deer to assess transmission within and between species.

Samples of retropharyngeal lymph nodes from white-tailed deer in Iowa, United States, were tested for presence of SARS-CoV-2 RNA. Whole-genome sequences of positive deer isolates and publicly available human SARS-CoV-2 sequences from Iowa were combined with epidemiological parameters to reconstruct the transmission history and infer who infected whom.

The results of the study indicated multiple spillover events from human to deer with likely onward transmission within deer populations. We found no evidence of direct transmission from deer to human. However, with an extremely low estimated case finding rate, the number of unsampled cases was high in both deer and human populations and spillback to humans cannot be ruled out.

The extensive transmission of SARS-CoV-2 in deer populations and the large number of unsampled cases highlights the need for increased surveillance at the human-animal interface. Without active surveillance in susceptible wildlife populations, the virus could circulate and evolve undetected for extended periods of time. Extant disease surveillance programmes in deer could be extended to monitor SARS-CoV-2. However, for reliable inference of transmission events at the human-animal interface, surveillance in wildlife needs to be complemented by identification of human cases and data being shared between relevant stakeholders.

Keywords: SARS-CoV-2, white-tailed deer, transmission analysis
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Title":null,"FirstName":null,"LastName":"SARS-CoV-2 deer team","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":0,"DisplayName":"SARS-CoV-2 deer team"},{"PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Title":"Dr.","FirstName":"Katriina","LastName":"Willgert","Position":"Phd Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Willgert K"},{"PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Title":"Dr","FirstName":"Meera","LastName":"Surendran Nair","Position":"Assistant Clinical Professor - Resident in Veterinary Microbiology","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Surendran Nair M"},{"PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Title":"Professor","FirstName":"Suresh V.","LastName":"Kuchipudi","Position":"Clinical Professor","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Kuchipudi S"},{"PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Title":"Professor","FirstName":"Vivek","LastName":"Kapur","Position":"Professor of Microbiology and Infectious Diseases","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Kapur V"},{"PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Title":"Dr","FirstName":"Andrew","LastName":"Conlan","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Conlan A"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Number":1,"Affiliation":"Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge","City":"Cambridge","State":"Cambridgeshire","Country":"United Kingdom","AffiliationDisplay":"Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge Cambridgeshire, United Kingdom"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Number":2,"Affiliation":"Department of Veterinary and Biomedical Sciences, Huck Institutes of Life Sciences, The Pennsylvania State University","City":"University Park","State":"Pennsylvania","Country":"United States","AffiliationDisplay":"Department of Veterinary and Biomedical Sciences, Huck Institutes of Life Sciences, The Pennsylvania State University, University Park Pennsylvania, United States"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4d90dbf7-4b25-4d44-aa7e-5c8e9f907db8","Number":3,"Affiliation":"Department of Animal Science, Huck Institutes of Life Sciences, The Pennsylvania State University","City":"University Park","State":"Pennsylvania","Country":"United States","AffiliationDisplay":"Department of Animal Science, Huck Institutes of Life Sciences, The Pennsylvania State University, University Park Pennsylvania, United States"}],"AuthorsHtml":"SARS-CoV-2 deer team, Willgert K1, Surendran Nair M2, Kuchipudi S2, Kapur V3, Conlan A1","AffiliationsHtml":"
1Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge Cambridgeshire, United Kingdom
2Department of Veterinary and Biomedical Sciences, Huck Institutes of Life Sciences, The Pennsylvania State University, University Park Pennsylvania, United States
3Department of Animal Science, Huck Institutes of Life Sciences, The Pennsylvania State University, University Park Pennsylvania, United States
"}],"DisplayName":"Katriina Willgert","TimeDisplay":null},{"ContactId":"7fd5247a-27b1-4080-86f2-814cafe1c5f9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Catherine","LastName":"Wilson","Position":"Wellcome Trust Clinical Phd Fellow","Organization":"University of Liverpool","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Investigating the carriage and antimicrobial resistance profiles of non-typhoidal Salmonella by healthy humans and animals within households in Malawi.","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"3444e93f-520e-4c61-a80c-376f1d32b798","Date":"2022-08-09T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 5.B - One Health","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Html":null,"PlainText":"This study aimed to determine:
i)\tthe frequency of NTS carriage in stool of healthy humans and animals,
ii)\tthe antimicrobial resistance (AMR) profile of NTS,
iii)\tthe genomic profile of NTS,
iv)\tthe risk factors for carriage of NTS for humans within a household.

Stool was collected from humans and animals at 30 households within two study sites in Malawi at three time points each between November 2018-December 2019. Samples were collected from humans, animals (poultry, livestock, domestic animals, peri-domestic wildlife) and environmental swabs taken.

Questionnaires were administered within the household to determine risk factors for NTS carriage by healthy humans.

Selective bacterial culture, anti-sera testing and qPCR analysis were carried out to determine the presence of NTS within the stool. PCR positive samples underwent phenotypic antimicrobial susceptibility testing and WGS.

Multivariate analysis was carried out to investigate risk factors for NTS carriage.

Selective culture was carried out on 2,081 samples. 234 samples were positive for NTS following qPCR (11.2% positivity). WGS of 227 picks from 119 samples revealed two sub-species of Salmonella. 26 serovars of Salmonella enterica subspp. enterica were detected from a range of animal species and humans, including Salmonella Typhimurium and Salmonella Enteritidis. Risk factors for Salmonella carriage in the stool of healthy humans were identified. Low phenotypic and genotypic AMR was detected; 53/227 (23.3%) genomes contained AMR genes; 49 fosA7 conferring fosfomycin resistance, 4 qnrB19 conferring fluoroquinolone resistance. Sharing pairs (two isolates with very nearly identical genomes) have been isolated from two individuals (animal, human or environmental sample) within several households during this study.

NTS serovars which have the potential for zoonotic transmission and disease are carried in the stool of healthy humans and animals within households in Malawi, and may share between hosts in this environment.

Keywords:
Salmonella, household, One Health, AMR
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Title":"Ms.","FirstName":"Catherine","LastName":"Wilson","Position":"Wellcome Trust Clinical Phd Fellow","Affiliations":"1,2","IsPresenting":true,"SortOrder":1,"DisplayName":"Wilson C"},{"PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Title":"Dr","FirstName":"Patrick","LastName":"Musicha","Position":"Postdoctoral Fellow","Affiliations":"4","IsPresenting":false,"SortOrder":2,"DisplayName":"Musicha P"},{"PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Title":"Mr","FirstName":"Yohane","LastName":"Diness","Position":"Senior laboratory technologist","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Diness Y"},{"PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Title":"Professor","FirstName":"Nicholas","LastName":"Feasey","Position":"NIHR Professor of Global Health and Professor of Clinical Microbiology","Affiliations":"2,5","IsPresenting":false,"SortOrder":4,"DisplayName":"Feasey N"},{"PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Title":"Prof.","FirstName":"Gina","LastName":"Pinchbeck","Position":"Reader in Veterinary Epidemiology","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Pinchbeck G"},{"PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Title":"Prof","FirstName":"Eric","LastName":"Fèvre","Position":"Chair of Veterinary Infection Disease","Affiliations":"1,3","IsPresenting":false,"SortOrder":6,"DisplayName":"Fèvre E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Number":1,"Affiliation":"University Of Liverpool","City":"Liverpool","State":null,"Country":"UK","AffiliationDisplay":"University Of Liverpool, Liverpool, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Number":2,"Affiliation":"Malawi-Liverpool-Wellcome Trust Clinical Research-Programme","City":"Blantyre","State":null,"Country":"Malawi","AffiliationDisplay":"Malawi-Liverpool-Wellcome Trust Clinical Research-Programme, Blantyre, Malawi"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Number":3,"Affiliation":"International Livestock Research Institute","City":"Nairobi","State":null,"Country":"Kenya","AffiliationDisplay":"International Livestock Research Institute, Nairobi, Kenya"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Number":4,"Affiliation":"Wellcome Trust Sanger Institute","City":"Cambridge","State":null,"Country":"UK","AffiliationDisplay":"Wellcome Trust Sanger Institute, Cambridge, UK"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"e38c5290-28c2-41ad-a746-a36033a944a6","Number":5,"Affiliation":"Liverpool School of Tropical Medicine","City":"Liverpool","State":null,"Country":"UK","AffiliationDisplay":"Liverpool School of Tropical Medicine, Liverpool, UK"}],"AuthorsHtml":"Wilson C1,2, Musicha P4, Diness Y2, Feasey N2,5, Pinchbeck G1, Fèvre E1,3","AffiliationsHtml":"
1University Of Liverpool, Liverpool, UK
2Malawi-Liverpool-Wellcome Trust Clinical Research-Programme, Blantyre, Malawi
3International Livestock Research Institute, Nairobi, Kenya
4Wellcome Trust Sanger Institute, Cambridge, UK
5Liverpool School of Tropical Medicine, Liverpool, UK
"}],"DisplayName":"Catherine Wilson","TimeDisplay":null},{"ContactId":"90aaa44a-e8a3-4c32-9718-14f182edc52f","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Devon","LastName":"Wilson","Position":"Phd Candidate","Organization":"University of Guelph","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/9da1de0752b14b62a4aeaaba9b0457ea","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Perspectives on male dairy calf care and opportunities to motivate change","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"dd69f228-2c5b-4531-b328-0906c0af3cd2","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Html":null,"PlainText":"Objective: To describe and compare dairy calf feeding and marketing practices and evaluate producer characteristics and perspectives associated with management differences between male and female calves.

Materials and Methods: An online survey was made available to all dairy producers in Ontario (n = 3367) from November 2020 to March 2021 and Atlantic Canada (n = 557) from April to June 2021. The survey evaluated calf milk and colostrum feeding strategies, marketing practices for male calves, and producer demographics and opinions on challenges related to calf care. Descriptive statistics and multivariable logistic regression models were generated.


Results: The survey had a 7% response rate (n = 289/3924) and was primarily completed by farm owners (73%). Compared to female calves, males received less milk in the first three weeks of life and were fed a higher proportion of unsaleable (waste) milk. Male calves were mostly sold between 1 and 10 days of age (64%), primarily directly to a calf-rearing facility (45%) or through a livestock auction (35%). Few producers (1%) euthanized most of their male calves, but 10% of respondents euthanized at least 1%. Female producers and those that kept male calves for at least 7 days had lower odds of using inferior feeding practices for male calves compared to male producers and those that sold younger calves, with similar associations observed in Ontario and Atlantic Canada. When implementing new calf care practices, producers valued the opinion of their veterinarian and calf buyer and focused on practices that promote calf health and welfare.

Conclusion: Male dairy calves are fed less, and poorer-quality milk compared to females, especially when they are sold before 10 days of age. Herd veterinarians and calf buyers could be influential in motivating improved calf care practices.

Key words: calves, survey, motivation, feeding, marketing","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Title":"Dr","FirstName":"Devon","LastName":"Wilson","Position":"PhD Student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Wilson D"},{"PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Title":"Dr.","FirstName":"Ting-Yu","LastName":"Cheng","Position":"Postdoctoral Scholar","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Cheng T"},{"PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Title":"Dr.","FirstName":"Jessica","LastName":"Pempek","Position":"Assistant Professor","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Pempek J"},{"PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Title":"Dr.","FirstName":"Kathryn","LastName":"Proudfoot","Position":"Associate Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Proudfoot K"},{"PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Title":"Dr","FirstName":"David","LastName":"Renaud","Position":"Assistant Professor","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Renaud D"},{"PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Title":"Dr.","FirstName":"Gregory","LastName":"Habing","Position":"Associate Professor","Affiliations":"3","IsPresenting":false,"SortOrder":6,"DisplayName":"Habing G"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Number":1,"Affiliation":"University Of Guelph","City":"Guelph","State":"Ontario","Country":"Canada","AffiliationDisplay":"University Of Guelph, Guelph Ontario, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Number":2,"Affiliation":"University of Prince Edward Island","City":"Charlottetown","State":"Prince Edward Island","Country":"Canada","AffiliationDisplay":"University of Prince Edward Island, Charlottetown Prince Edward Island, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"9d5dd6dd-f23c-4235-8643-537388326e14","Number":3,"Affiliation":"The Ohio State University","City":"Columbus","State":"Ohio","Country":"USA","AffiliationDisplay":"The Ohio State University, Columbus Ohio, USA"}],"AuthorsHtml":"Wilson D1, Cheng T3, Pempek J3, Proudfoot K2, Renaud D1, Habing G3","AffiliationsHtml":"
1University Of Guelph, Guelph Ontario, Canada
2University of Prince Edward Island, Charlottetown Prince Edward Island, Canada
3The Ohio State University, Columbus Ohio, USA
"}],"DisplayName":"Devon Wilson","TimeDisplay":null},{"ContactId":"4f64d04b-5c1e-490e-8593-81c334eeeef9","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Tu Tu Zaw","LastName":"Win","Position":"Postdoc","Organization":"City University of Hong Kong","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Prevalence of Rabies within community, dog and cat population in Asia: A Systematic Review and Meta-analysis","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"4847fc75-4143-4348-a01d-660157a7a632","Date":"2022-08-08T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 3.D - One Health","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"db1c7f04-a611-445e-83aa-42804c7b7dd2","Html":null,"PlainText":"Introduction:\tRabies is a worldwide zoonotic disease that has been impacted on both animals and humans.
Objectives:\tThis study was conducted to identify the prevalence of rabies in humans, dogs, and cats in Asia and to compare the significant factors affecting the heterogenicity of prevalence among countries in Asia.
Materials and methods:\tIn this study, we performed a systematic review and meta-analysis statistical approach. In this study, we performed a literature search by using the domains “Prevalence AND rabies AND dogs OR cats OR human” in Scopus, PubMed, Web of Science. Out of 2615 articles, the duplicated articles (n=1501) and the articles not in line with our inclusion criteria were excluded and a total of 8 papers for cat data, 28 papers for dog data, and 20 papers for human data were used for further data analysis.
Results:\t\tOverall mean estimated prevalence of the human rabies in Asia was 15.82% (95% CI: 11.35-20.84) with high range of heterogeneity I2 with 99.96%, p-value of <0.001 while the prevalence in dog was 25.56% (15.52-39.26) with heterogeneity I2 with 99.92% (p =<0.001) and the prevalence in cat was 5.79% (0.00-23.87) with heterogeneity I2 with 99.25% (p =<0.001). Data were extracted from the studies conducted in 14 countries. From the data extracted for different countries, the highest prevalence of submitted high-risk group human samples was noted in Sri Lanka with 65.19% (39.66-86.95) which is consistent with the high prevalence of dog (66.14%, 65.23-67.04) and cat (31.35%, 29.33-33.43) rabies in Sri Lanka. The highest prevalence of dogs was noted in Bangladesh (88.98% of submitted samples).
Conclusion:\tRabies is a life-threatening zoonotic disease for both animals and humans. The finding in this study would be helpful in the identification of the high-risk area to implement efficient and effective control strategies in Asia.

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"db1c7f04-a611-445e-83aa-42804c7b7dd2","Title":"Miss","FirstName":"Tu Tu Zaw","LastName":"Win","Position":"Postdoc","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Win T"},{"PresentationId":"db1c7f04-a611-445e-83aa-42804c7b7dd2","Title":"Dr.","FirstName":"Anne","LastName":"Conan","Position":"","Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Conan A"},{"PresentationId":"db1c7f04-a611-445e-83aa-42804c7b7dd2","Title":"Dr.","FirstName":"Yan Naung","LastName":"Win","Position":"Public Health Specialist","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Win Y"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db1c7f04-a611-445e-83aa-42804c7b7dd2","Number":1,"Affiliation":"Center for Applied One Health Research and Policy Advices","City":null,"State":"Hong Kong SAR","Country":"Hong Kong","AffiliationDisplay":"Center for Applied One Health Research and Policy Advices, Hong Kong SAR, Hong Kong"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"db1c7f04-a611-445e-83aa-42804c7b7dd2","Number":2,"Affiliation":"Health and Diseases Control Unit","City":null,"State":"Nay Pyi Taw","Country":"The Republic of the Union of Myanmar","AffiliationDisplay":"Health and Diseases Control Unit, Nay Pyi Taw, The Republic of the Union of Myanmar"}],"AuthorsHtml":"Win T1, Conan A, Win Y2","AffiliationsHtml":"
1Center for Applied One Health Research and Policy Advices, Hong Kong SAR, Hong Kong
2Health and Diseases Control Unit, Nay Pyi Taw, The Republic of the Union of Myanmar
"}],"DisplayName":"Tu Tu Zaw Win","TimeDisplay":null},{"ContactId":"4ed946d7-d22b-48b8-89e7-cf796bded2ca","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Charlotte","LastName":"Winder","Position":"Assistant Professor","Organization":"University of Guelph","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"cbwinder","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"cbwinder","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"http://twitter.com/search?q=cbwinder","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":6},"SocialMediaLinks":[{"Link":"http://twitter.com/search?q=cbwinder","Font":"fab fa-twitter-square","Color":"#0084b4"}],"Bio":null,"Presentations":[{"Title":"Impact of plane of nutrition and analgesic drug treatment on wound healing following cautery disbudding in preweaned dairy calves","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"dd69f228-2c5b-4531-b328-0906c0af3cd2","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.B - Epidemiologic studies in specific species (Dairy and beef cattle)","Location":"Halifax Convention Centre │Room 502","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"6d09f98d-f323-4ac8-b6e3-489850e53337","Html":null,"PlainText":"The objective of this 2 x 2 factorial study was to determine the impact of a nutritional plane and administration of multiple doses of a nonsteroidal anti-inflammatory drug (NSAID) on wound healing in calves disbudded via cautery iron.

Eighty female Holstein calves were enrolled at birth and randomly assigned to a biologically normal plane of nutrition (BN; offered up to 15 L/d) or a limited plane (LP; offered up to 6 L/d). All calves received a lidocaine cornual nerve block and meloxicam (0.5 mg/kg) 15min prior to disbudding at 18-25d of age, and half were randomly assigned to receive additional meloxicam 3d after disbudding. Tissue type present, wound diameter, and wound depth were evaluated 2 times/wk for 8wk, mechanical nociceptive threshold (MNT) 2 times per wk for 3wk, and lying behavior from 1wk prior to disbudding until 8wk after. Survival data were analyzed using Cox regression models and continuous data were analyzed using mixed effect linear regression models.

Only 12% of horn buds were completely healed by 8wk after disbudding while 54% had re-epithelized at this time. At any time, wounds from BN calves were more likely to have had re-epithelization (HR 1.93, 95% CI: 1.18-3.14). Wounds from calves with one dose of NSAID were more likely to have re-epithelization occur (HR 1.87, 95% CI: 1.15-3.05). Wounds from BN calves had smaller diameters and depths over time beginning on wk 3. Wounds from calves that received an additional NSAID had larger diameters and depths over time beginning on wk 4 and 3 respectively. Calves on the BN milk program were more active with decreased lying times, fewer lying bouts/d, and longer average lying bouts.

A biologically normal milk feeding program may improve healing times and activity following disbudding, while additional NSAID treatment may low the healing process.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"6d09f98d-f323-4ac8-b6e3-489850e53337","Title":"Dr.","FirstName":"Cassandra","LastName":"Reedman","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":1,"DisplayName":"Reedman C"},{"PresentationId":"6d09f98d-f323-4ac8-b6e3-489850e53337","Title":"Dr.","FirstName":"Todd","LastName":"Duffield","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":2,"DisplayName":"Duffield T"},{"PresentationId":"6d09f98d-f323-4ac8-b6e3-489850e53337","Title":"Dr. ","FirstName":"Trevor","LastName":"DeVries","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":3,"DisplayName":"DeVries T"},{"PresentationId":"6d09f98d-f323-4ac8-b6e3-489850e53337","Title":"Dr.","FirstName":"Kerry","LastName":"Lissemore","Position":"[email protected]","Affiliations":null,"IsPresenting":false,"SortOrder":4,"DisplayName":"Lissemore K"},{"PresentationId":"6d09f98d-f323-4ac8-b6e3-489850e53337","Title":"Dr.","FirstName":"Sarah","LastName":"Parsons","Position":null,"Affiliations":null,"IsPresenting":false,"SortOrder":5,"DisplayName":"Parsons S"},{"PresentationId":"6d09f98d-f323-4ac8-b6e3-489850e53337","Title":"Dr.","FirstName":"Charlotte","LastName":"Winder","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":6,"DisplayName":"Winder C"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"6d09f98d-f323-4ac8-b6e3-489850e53337","Number":1,"Affiliation":"University Of Guelph","City":"Guelph","State":"ON","Country":"Canada","AffiliationDisplay":"University Of Guelph, Guelph ON, Canada"}],"AuthorsHtml":"Reedman C, Duffield T, DeVries T, Lissemore K, Parsons S, Winder C1","AffiliationsHtml":"
1University Of Guelph, Guelph ON, Canada
"}],"DisplayName":"Charlotte Winder","TimeDisplay":null},{"ContactId":"e53a6fa6-563f-4d65-b3fc-e697852f4c6c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lauren","LastName":"Wisnieski","Position":"Assistant Professor","Organization":"Lincoln Memorial University","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/10937f02152240aba42930c9896938de","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Predicting Lyme disease incidence using Google Trends search data","Bio":null,"PresentationTypeName":"Late-Breaking Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"4629cf57-3219-48e0-9552-189e6b258d91","Html":null,"PlainText":"Objective
Lyme disease incidence has increased among humans and dogs. A previous study found that there were similar patterns between Google searches for Lyme disease symptoms and Lyme disease incidence among humans. The objective of this study was to validate the use of Google Trends search data for predicting Lyme disease incidence among humans and dogs by comparing models with varying search terms.

Materials and methods
Preliminary results for monthly human Lyme disease incidence data from 2010-onward were generated using 3 states. Google Trend data was downloaded using the ‘gtrends’ package in R version 4.0.2. Time series models were built using random-effects generalized least squares regression using the ‘xtreg’ command in Stata version 17.0. Monthly lags of searches were used as predictors (i.e., 1-month prior, 2-months prior) until statistical insignificance was achieved.

Results
In total, there were 360 observations from 3 states (CT, RI, and WA) used in preliminary analyses. The search terms most predictive of Lyme disease incidence included “Lyme,” “bone pain,” “tick bite,” and “tick rash.” The R2 for the most predictive models ranged from 19% to 69%. Interestingly, the predictive ability of terms for Lyme disease (“Lyme” versus “Lyme disease” versus “Lymes”) varied greatly. Other searches for conditions with symptoms similar to Lyme disease were not predictive of Lyme disease incidence, including “arthritis,” “bells palsy,” “chronic fatigue,” and “multiple sclerosis.” Additional results on dog Lyme disease will also be presented.

Conclusion
These results highlight that Google trends search data have potential as a predictive tool for human Lyme disease incidence and show specificity for Lyme disease incidence. However, there is a need for additional testing and standardization of search terms to ensure the models optimize the use of search data, are generalizable to other states, and are reproducible.

Keywords: Lyme disease, predictive modeling, Google Trends, zoonotic disease
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"4629cf57-3219-48e0-9552-189e6b258d91","Title":"Dr.","FirstName":"Lauren","LastName":"Wisnieski","Position":"Assistant Professor","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Wisnieski L"},{"PresentationId":"4629cf57-3219-48e0-9552-189e6b258d91","Title":"Dr.","FirstName":"Vina","LastName":"Faulkner","Position":"Professor of Virology","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Faulkner V"},{"PresentationId":"4629cf57-3219-48e0-9552-189e6b258d91","Title":"Dr.","FirstName":"Barbara","LastName":"Shock","Position":"Assistant Professor of Biology","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Shock B"},{"PresentationId":"4629cf57-3219-48e0-9552-189e6b258d91","Title":"Dr.","FirstName":"Karen","LastName":"Gruszynski","Position":"Associate Professor","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Gruszynski K"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"4629cf57-3219-48e0-9552-189e6b258d91","Number":1,"Affiliation":"College of Veterinary Medicine, Lincoln Memorial University","City":"Harrogate","State":"TN","Country":"USA","AffiliationDisplay":"College of Veterinary Medicine, Lincoln Memorial University, Harrogate TN, USA"}],"AuthorsHtml":"Wisnieski L1, Faulkner V1, Shock B1, Gruszynski K1","AffiliationsHtml":"
1College of Veterinary Medicine, Lincoln Memorial University, Harrogate TN, USA
"}],"DisplayName":"Lauren Wisnieski","TimeDisplay":null},{"ContactId":"54ab643b-fa1f-45c3-96b6-cd1de7c8055e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Kimberly","LastName":"Woodruff","Position":"Associate Clinical Professor","Organization":"Mississippi State University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"A simulation model to study the effects of dog density on illness and release rates in animal shelters","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"e0cb57a4-e82b-4ad8-8753-62079f423f47","Date":"2022-08-09T00:00:00+00:00","StartTime":"10:00:00","EndTime":"12:00:00","Name":"Breakout Session 4.D - Epidemiologic studies in specific species (Companion animals)","Location":"Halifax Convention Centre │Room 506+507","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"10:00 AM - 12:00 PM"},"Documents":[{"PresentationId":"288dd570-d2d8-4fe0-b35f-c6c2f03afc1a","Html":null,"PlainText":"Objective: The animal sheltering system in the United States is complex, with many moving parts that affect an organization’s ability to care for a dog and provide a successful outcome. Decisions made regarding the size of the population in the care of the shelter, whether to euthanize animals, disease control strategies, and how quickly animals get released may ultimately affect the health of the animals in the shelter and the rate at which animals get adopted or transferred. The objective of this study was to develop a systemic dynamics model to simulate how decisions made regarding animal intake, population management, and release affect animal health and adoption rates. This goal of this tool is to help educate and inform policy for veterinarians, animal shelter employees, and that can be extrapolated to other animal populations.

Materials and Methods: A system dynamics model of the dog sheltering system was developed using Vensim DSS modeling software and was informed with data from an in-person survey that was conducted of 348 shelters across 5 states (Mississippi, Pennsylvania, Michigan, Colorado, Oklahoma). Parameters that can be modified as part of a “flight simulator” interface are intake rate, length of stay, death rate, duration of illness, euthanasia rate, intake rate, initial dog population, and the illness prevalence.

Results: The model simulates increases and decreases in sick animals based on dog density and contact with infected individuals.

Conclusion: This model demonstrates that increases in dog population within a shelter lead to increased disease, increased length of stay, and, long-term, decreased adoption rates.

Key words: systems dynamics, shelter capacity, disease","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"288dd570-d2d8-4fe0-b35f-c6c2f03afc1a","Title":"Dr.","FirstName":"Kimberly","LastName":"Woodruff","Position":null,"Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Woodruff K"},{"PresentationId":"288dd570-d2d8-4fe0-b35f-c6c2f03afc1a","Title":"Dr. ","FirstName":"David R.","LastName":"Smith","Position":"Associate Dean for Research and Graduate Studies","Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Smith D"},{"PresentationId":"288dd570-d2d8-4fe0-b35f-c6c2f03afc1a","Title":"Dr. ","FirstName":"Robert ","LastName":"Wills","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Wills R"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"288dd570-d2d8-4fe0-b35f-c6c2f03afc1a","Number":1,"Affiliation":"Department of Clinical Sciences, Mississippi State University College of Veterinary Medicine","City":"Starkville","State":"MS","Country":"USA","AffiliationDisplay":"Department of Clinical Sciences, Mississippi State University College of Veterinary Medicine, Starkville MS, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"288dd570-d2d8-4fe0-b35f-c6c2f03afc1a","Number":2,"Affiliation":"Department of Comparative Biomedical Sciences, Mississippi State University College of Veterinary Medicine","City":"Starkville","State":"MS","Country":"USA","AffiliationDisplay":"Department of Comparative Biomedical Sciences, Mississippi State University College of Veterinary Medicine, Starkville MS, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"288dd570-d2d8-4fe0-b35f-c6c2f03afc1a","Number":3,"Affiliation":"Mississippi State University College of Veterinary Medicine","City":"Starkville","State":"MS","Country":"USA","AffiliationDisplay":"Mississippi State University College of Veterinary Medicine, Starkville MS, USA"}],"AuthorsHtml":"Woodruff K1, Smith D3, Wills R2","AffiliationsHtml":"
1Department of Clinical Sciences, Mississippi State University College of Veterinary Medicine, Starkville MS, USA
2Department of Comparative Biomedical Sciences, Mississippi State University College of Veterinary Medicine, Starkville MS, USA
3Mississippi State University College of Veterinary Medicine, Starkville MS, USA
"}],"DisplayName":"Kimberly Woodruff","TimeDisplay":null},{"ContactId":"6680ed3f-4f28-4771-ba71-40985792dd61","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mesfin","LastName":"Worku","Position":"PhD fellow","Organization":"International Livestock Research Institute","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"High erythromycin-resistant Campylobacter jejuni and C. coli among human and chicken in Africa: systematic review and meta-analysis.","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"0ba012c5-47e2-4307-ac11-a068e19deb3a","Html":null,"PlainText":"Human Campylobacter spp. enteritis is a common bacterial foodborne illness globally. C. jejuni and C. coli are implicated: chickens are carriers of these bacteria without showing clinical symptoms. The burden of antimicrobial resistant Campylobacter is increasing worldwide. However, there are limited data on the extent of antimicrobial resistance in Africa.
Objective: this review aimed to estimate the pooled magnitude of antimicrobial resistance of Campylobacter jejuni and C. coli.
Materials and methods: to fill this gap, we conducted a systematic review and meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) Checklist. Literature search used relevant terms and phrases combined using the Boolean operators. The databases PubMed, Google Scholar, Hinnari, and Google were used to find relevant articles. All necessary data were extracted using a standardized data extraction format by two individuals independently. A quality assessment of selected articles was made using Newcastle–Ottawa scale adapted for cross sectional studies.
Result: A total 12 studies were identified by this systematic review and meta-analysis. Of 1,142 isolates documented in the papers, 858 (75.1%) were C. jejuni and 284 (24.9%) were C. coli. We found C. jejuni showed lowest resistance level (21.2%) to ciprofloxacin and highest resistance level to trimethoprim-sulfamethoxazole(78.2%) whereas C. coli showed lowest resistance level (18.3%) to ciprofloxacin and highest level of resistance (82.7%) to azithromycin. The overall pooled magnitude of erythromycin resistance C. jejuni and C. coli among in human and chicken subjects was 51.0% and 54.0%, respectively.
Conclusion: this systematic review and meta-analysis found high pooled magnitude of erythromycin resistant C. jejuni and C. coli among isolates from both humans and chickens in Africa. More One Health research is needed to give a clear picture on antimicrobial resistance and transmission dynamics of Campylobacter spp. in Africa, covering both humans and poultry.
Key words: Campylobacter, erythromycin, chicken, human
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"0ba012c5-47e2-4307-ac11-a068e19deb3a","Title":"Mr.","FirstName":"Mesfin","LastName":"Worku","Position":"PhD fellow","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Worku M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"0ba012c5-47e2-4307-ac11-a068e19deb3a","Number":1,"Affiliation":"Hawassa University, College Of Medicine And Health Science","City":"Hawassa ","State":"Sidama","Country":"Ethiopia","AffiliationDisplay":"Hawassa University, College Of Medicine And Health Science, Hawassa Sidama, Ethiopia"}],"AuthorsHtml":"Worku M1","AffiliationsHtml":"
1Hawassa University, College Of Medicine And Health Science, Hawassa Sidama, Ethiopia
"}],"DisplayName":"Mesfin Worku","TimeDisplay":null},{"ContactId":"accbfe0d-6afb-4abb-9e6e-72ed76e8d45c","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Emi","LastName":"Yamaguchi","Position":"","Organization":"National Agriculture and Food Research Organization","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Case-control study of geographical risk factors for highly pathogenic avian influenza on chicken farms in Japan in 2020 to 2021","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"2a7fdcba-dc1c-4f85-8a92-0fd20c1f1c79","Html":null,"PlainText":"Objective
Outbreaks of highly pathogenic avian influenza (HPAI) virus subtype H5N8 were reported from 52 farms including 32 layers, 14 broilers, 4 breeders, and 2 duck farms in Japan from 2020 to 2021. A simulation-based case-control study was conducted to elucidate the geographical risk factors for HPAI infection in chicken farms.
Materials and methods
To identify the geographical characteristics of layer and broiler farms with HPAI case, matched case-control study was performed using 26 case farms (16 layers and 10 broilers). For the control farms, 1000 bootstrap sampling was performed for selecting up to 3 uninfected farms within a radius of 10km of each case farm. A conditional logistic regression model composed of geographical characteristics and flock size of the farms as explanatory variables was used for all combinations of case farms and 1000 bootstrap samples of control farms.
Results
Matched case-control analysis showed that a larger flock size, locating nearby waterbodies, and proximity to the poultry farms posed higher risk to be infected in layer farms. In broiler farms, locating nearby waterbody posed higher risk of infection.
Conclusion
Risk of HPAI infection was considered to be affected by flock size, and geographical characteristics of farms. Frequent access of farm staffs and instruments into premise in larger farms might lead to the higher risk. Migratory birds visiting waterbodies around farms are also possibly associated with infection risk. The results of this study will be valuable in strengthening biosecurity measures to prevent the virus invasion into farms with such conditions.

Keywords: Highly pathogenic avian influenza (HPAI), poultry farm, case-control study ","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"2a7fdcba-dc1c-4f85-8a92-0fd20c1f1c79","Title":"Dr.","FirstName":"Emi","LastName":"Yamaguchi","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Yamaguchi E"},{"PresentationId":"2a7fdcba-dc1c-4f85-8a92-0fd20c1f1c79","Title":"Dr.","FirstName":"Yoko","LastName":"Hayama","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Hayama Y"},{"PresentationId":"2a7fdcba-dc1c-4f85-8a92-0fd20c1f1c79","Title":"Mr.","FirstName":"Yoshinori","LastName":"Murato","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Murato Y"},{"PresentationId":"2a7fdcba-dc1c-4f85-8a92-0fd20c1f1c79","Title":"Mr.","FirstName":"Kotaro","LastName":"Sawai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Sawai K"},{"PresentationId":"2a7fdcba-dc1c-4f85-8a92-0fd20c1f1c79","Title":"Ms.","FirstName":"Sonoko","LastName":"Kondo","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Kondo S"},{"PresentationId":"2a7fdcba-dc1c-4f85-8a92-0fd20c1f1c79","Title":"Mr.","FirstName":"Takehisa","LastName":"Yamamoto","Position":"Deputy Leader","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Yamamoto T"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"2a7fdcba-dc1c-4f85-8a92-0fd20c1f1c79","Number":1,"Affiliation":"National Institute of Animal Health","City":"Tsukuba","State":"Ibaraki","Country":"Japan","AffiliationDisplay":"National Institute of Animal Health, Tsukuba Ibaraki, Japan"}],"AuthorsHtml":"Yamaguchi E1, Hayama Y1, Murato Y1, Sawai K1, Kondo S1, Yamamoto T1","AffiliationsHtml":"
1National Institute of Animal Health, Tsukuba Ibaraki, Japan
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In 2018, classical swine fever (CSF) re-emerged in Japan which has been recognized as a CSF-free country. CSF vaccination for pigs using live vaccines started in October 2019. In this study, the effectiveness of vaccination in pig farms was evaluated using the sero-surveillance data and the results of diagnostic tests conducted in the infected farms.

2. Materials and methods
A total of 23,736 results of ELISA antibody tests conducted every six months were assessed and seropositivity rates were compared by age at vaccination. In seven farms, samples from sows and their litters were collected continuously with 15 days intervals to conduct ELISA and HI tests. The results of ELISA and PCR tests for samples collected from pigs at infected farms before conducting stamping out were also assessed.

3. Results
The seropositivity rate for the pigs born before the vaccination program applied reached over 90% regardless of age at the first vaccination. The seropositivity rate was declined to 60–70% in pigs born from vaccinated sows, and lower in pigs vaccinated at an earlier age. About the antibody levels in piglets in the seven farms, seropositivity rates reached nearly 100% when the maternal antibody level at vaccination was <8 HI titer. It remained almost 50% when the maternal antibody was 8–16 HI titer, and the proportion declined in the piglets with higher antibodies. In almost all affected farms with vaccination, many of the weaned pigs were found to be PCR positive with low ELISA positivity rates whereas most of the remaining pigs were ELISA positive and PCR negative.

4. Conclusion
In the application of the vaccination program in pig farms, special attention should be paid to the presence of weaned pigs intentionally unvaccinated to avoid vaccine break caused by maternal antibodies.

Keywords: classical swine fever, vaccination
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"d452f69a-77f5-44a5-8c18-77a129ddc6d3","Title":"Mr.","FirstName":"Takehisa","LastName":"Yamamoto","Position":"Deputy Leader","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Yamamoto T"},{"PresentationId":"d452f69a-77f5-44a5-8c18-77a129ddc6d3","Title":"Dr.","FirstName":"Yoko","LastName":"Hayama","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Hayama Y"},{"PresentationId":"d452f69a-77f5-44a5-8c18-77a129ddc6d3","Title":"Ms.","FirstName":"Sonoko","LastName":"Kondo","Position":"Senior Researcher","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Kondo S"},{"PresentationId":"d452f69a-77f5-44a5-8c18-77a129ddc6d3","Title":"Mr.","FirstName":"Yoshinori","LastName":"Murato","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Murato Y"},{"PresentationId":"d452f69a-77f5-44a5-8c18-77a129ddc6d3","Title":"Mrs.","FirstName":"Kotaro","LastName":"Sawai","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Sawai K"},{"PresentationId":"d452f69a-77f5-44a5-8c18-77a129ddc6d3","Title":"Dr.","FirstName":"Emi","LastName":"Yamaguchi","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Yamaguchi E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"d452f69a-77f5-44a5-8c18-77a129ddc6d3","Number":1,"Affiliation":"National Institute of Animal Health","City":"Tsukuba","State":"Ibaraki","Country":"Japan","AffiliationDisplay":"National Institute of Animal Health, Tsukuba Ibaraki, Japan"}],"AuthorsHtml":"Yamamoto T1, Hayama Y1, Kondo S1, Murato Y1, Sawai K1, Yamaguchi E1","AffiliationsHtml":"
1National Institute of Animal Health, Tsukuba Ibaraki, Japan
"}],"DisplayName":"Takehisa Yamamoto","TimeDisplay":null},{"ContactId":"02044584-3ff7-4d0b-acbe-585036fde8de","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"SeungWon","LastName":"Yi","Position":"Postdoctoral fellow, Ph.D.","Organization":"National Institute of Animal Science, Rural Development Administration","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Effects of resistant starch on short chain fatty acids production and intestinal microbiota composition in weaned piglet969","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"ebf0c00c-464a-4e97-bc8a-8dcda9c3a715","Date":"2022-08-11T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Thursday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Thursday, August 11, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Html":null,"PlainText":"Objective: Resistant starch (RS) is a dietary fiber resistant to digestion and absorption in small intestine, but fermented by intestinal microflora in the large intestine. In this process, short chain fatty acids (SCFAs) are formed, act as energy sources for intestinal bacteria, improving gut health. Hence, we aimed to evaluate the effect of RS on SCFAs production and intestinal microbiota composition in weaned piglets.

Materials and Methods: Fecal samples were collected from 10 castrated male weaned piglets (25-day-old, 7.16 ± 0.49 kg) fed with a corn/soybean-based control diet (CON, n = 2) and the diet supplemented with 5% RS (RS5, n = 4) or 10% RS (RS10, n = 4) for 21 days. The SCFAs concentration was determined using gas chromatography. The samples from 0 and 21 days post feeding (dpf) were analyzed by using 16S rRNA metagenomics after total genomic DNA extraction and library construction. The five phyla and 50 genera occupying over 0.5% of the reads in any of the three groups were used for further analysis.

Results: No significant differences between RS5/RS10 and CON in alpha diversity and microbiota composition at 0 and 21 day-post feeding (dpf). Nevertheless, the fecal SCFAs concentration significantly increase in RS5 and RS10; propionate (p < 0.001), isobutyrate (p < 0.001), butyrate (p = 0.003), isovalerate (p = 0.010), and valerate (p = 0.006) in RS10, and butyrate (p = 0.012), isovalerate (p = 0.030), and valerate (p = 0.007) in RS5, whereas only butyrate (p = 0.034) was upregulated in CON.

Conclusion: Feeding 10% RS to pigs altered microbiota composition and promoted the various SCFAs production. Therefore, 10% RS can be used as a potential feed additive to improve gut health and may prevent diarrhea in piglets during weaning period.

Keywords: Resistant starch; Piglet; Weaning; Intestine; Short fatty chain acids","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Title":"Dr.","FirstName":"SeungWon","LastName":"Yi","Position":"Postdoctoral fellow, Ph.D.","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Yi S"},{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Title":"Mr.","FirstName":"Han Gyu","LastName":"Lee","Position":"Veterinary researcher, D.V.M., M.S.","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Lee H"},{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Title":"Mr.","FirstName":"Young-Hun","LastName":"Jung","Position":"Veterinary research officer, D.V.M., M.S.","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Jung Y"},{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Title":"Dr.","FirstName":"Kim","LastName":"Eunju","Position":"Veterinary researcher, D.V.M., Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":4,"DisplayName":"Eunju K"},{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Title":"Dr.","FirstName":"Eun-Yeong","LastName":"Bok","Position":"Veterinary researcher, D.V.M., Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":5,"DisplayName":"Bok E"},{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Title":"Dr.","FirstName":"Sudu Hakuruge Madusha Pramud","LastName":"Wimalasena","Position":"Postdoctoral fellow, Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Wimalasena S"},{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Title":"Dr.","FirstName":"Kyoung-Min","LastName":"So","Position":"Veterinary research officer, D.V.M., Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":7,"DisplayName":"So K"},{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Title":"Dr.","FirstName":"Tai-Young","LastName":"Hur","Position":"Veterinary research officer, D.V.M., Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Hur T"},{"PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Title":"Dr.","FirstName":"Sang-Ik","LastName":"Oh","Position":"Veterinary researcher, D.V.M., Ph.D.","Affiliations":"1","IsPresenting":false,"SortOrder":9,"DisplayName":"Oh S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"c5d46ce5-d32b-4b1b-9a53-79fda5e05055","Number":1,"Affiliation":"National Institute of Animal Science, Rural Development Administration","City":"Wanju-gun","State":"Jeollabuk-do","Country":"South Korea","AffiliationDisplay":"National Institute of Animal Science, Rural Development Administration, Wanju-gun Jeollabuk-do, South Korea"}],"AuthorsHtml":"Yi S1, Lee H1, Jung Y1, Eunju K1, Bok E1, Wimalasena S1, So K1, Hur T1, Oh S1","AffiliationsHtml":"
1National Institute of Animal Science, Rural Development Administration, Wanju-gun Jeollabuk-do, South Korea
"}],"DisplayName":"SeungWon Yi","TimeDisplay":null},{"ContactId":"26486dc2-8276-4eef-80be-8cbeba70491d","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Francisco J.","LastName":"Zagmutt","Position":"Managing Director","Organization":"EpiX Analytics","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":"","_facebookUrl":"","_linkedInUrl":"","_youTubeUrl":"","_pinterestUrl":"","_instagramUrl":"","GooglePlusUrl":null,"TwitterHandle":"","FacebookUrl":"","LinkedInUrl":"","YouTubeUrl":"","PinterestUrl":"","InstagramUrl":"","FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Partitioning and cost-effective on-farm surveillance for African Swine Fever control","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"a2fa3544-ac54-4db4-9895-35fdcbdbadea","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.A - ISESSAH","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"f87bc222-84bd-43b4-9919-a20744f9c200","Html":null,"PlainText":"Objective: As African swine fever (ASF) continues its worldwide expansion, its control still mainly relies on whole-herd depopulation and movement control. Despite the importance of early detection and rapid reporting for effective control, approaches to getting producers to invest in on-farm surveillance and early reporting are limited. Meanwhile, accounts of delayed reporting or emergency sales of animals in case of ASF suspicion are common. We describe a cost-effective approach to incentivize individual producers to conduct surveillance, early detection, and prompt ASF reporting.
Materials & Methods: Partitioning is a voluntary public-private partnership framework with three components (Figure). We developed a simulation model incorporating farm management, ASF dynamics and diagnostics (incl. preclinical testing strategies), and economics to design cost-effective on-farm surveillance for early detection. A conditional mean sensitivity analysis was used to estimate the effect of parameters on total cost and probability of ASF detection
Results: Cost-effectiveness of on-farm surveillance most influenced by the timing of testing relative to ASF introduction and on-farm flows of animals, extent of culling, costs of testing, sensitivity and specificity of preclinical testing, costs of false positive / negative results. Partitioning is of greater value in areas with higher risk of ASF infection, when fewer resources are available for culling compensation, and when the pork industry structure makes compartmentalization unfeasible.
Conclusions: Partitioning aims to align the economic incentives of individual producers for surveillance and early reporting with that of competent authorities for risk reduction at country level.
Keywords: public-private partnership, African Swine Fever, disease control, depopulation, surveillance","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null},{"PresentationId":"f87bc222-84bd-43b4-9919-a20744f9c200","Html":null,"PlainText":null,"DocumentFormatType":3,"Url":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/d7971f9f3478423aabe88cc2a45f8855","DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract Figure","Order":0,"IsDocument":true,"IsLink":false,"IsHtml":false,"IconClass":"far fa-file"}],"Authors":[{"PresentationId":"f87bc222-84bd-43b4-9919-a20744f9c200","Title":"Dr.","FirstName":"Solenne","LastName":"Costard","Position":"","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Costard S"},{"PresentationId":"f87bc222-84bd-43b4-9919-a20744f9c200","Title":"Dr.","FirstName":"Huybert","LastName":"Groenendaal","Position":"Managing Director","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Groenendaal H"},{"PresentationId":"f87bc222-84bd-43b4-9919-a20744f9c200","Title":"Dr.","FirstName":"Jane G.","LastName":"Pouzou","Position":"Senior Consultant","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Pouzou J"},{"PresentationId":"f87bc222-84bd-43b4-9919-a20744f9c200","Title":"Prof","FirstName":"Andres","LastName":"Perez","Position":"Professor","Affiliations":"2","IsPresenting":false,"SortOrder":4,"DisplayName":"Perez A"},{"PresentationId":"f87bc222-84bd-43b4-9919-a20744f9c200","Title":"Dr.","FirstName":"Francisco J.","LastName":"Zagmutt","Position":"Managing Director","Affiliations":"1","IsPresenting":true,"SortOrder":5,"DisplayName":"Zagmutt F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f87bc222-84bd-43b4-9919-a20744f9c200","Number":1,"Affiliation":"Epix Analytics","City":"Fort Collins","State":"CO","Country":"USA","AffiliationDisplay":"Epix Analytics, Fort Collins CO, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"f87bc222-84bd-43b4-9919-a20744f9c200","Number":2,"Affiliation":"Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota","City":"Minneapolis","State":"MN","Country":"United States","AffiliationDisplay":"Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, Minneapolis MN, United States"}],"AuthorsHtml":"Costard S1, Groenendaal H1, Pouzou J1, Perez A2, Zagmutt F1","AffiliationsHtml":"
1Epix Analytics, Fort Collins CO, USA
2Center for Animal Health and Food Safety, College of Veterinary Medicine, University of Minnesota, Minneapolis MN, United States
"}],"DisplayName":"Francisco J. Zagmutt","TimeDisplay":null},{"ContactId":"f9545645-45f6-4883-b44e-0ffe8316031a","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Muhammad Usman","LastName":"Zaheer","Position":"Surveillance Lead","Organization":"Health Security Partners","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f9a65100ab4a493dbf6397648bf9a3ca","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Knowledge, Attitude and Practices (KAP) survey of farmers on antimicrobial use, antimicrobial resistance and use of the laboratory facilities","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"ed44d921-18b5-415b-996b-9f60fc06a350","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.A - Capacity building in national veterinary service/ Climate Change Impacts and Policy","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Html":null,"PlainText":"Irrational use of antimicrobials is a global issue and is believed to contribute to the development of AMR. Farmers are major decision-makers regarding the use of antimicrobials, biosecurity measures, herd health management and use of laboratories. However, the data available about their practices is limited. Therefore, this study aims to explore the knowledge, attitudes, and practices of the dairy farmers regarding AMU, AMR and the use of laboratories.

A cross-sectional KAP survey was conducted from 28th June to 15th September 2021 in all provinces of Pakistan. A statistically robust sample (n=430), proportional to the size of the human population was obtained. The selected dairy production system includes smallholders, market-oriented farms and peri-urban farms. Data was collected using a questionnaire, developed through consultative process, containing different questions about AMU, AMR and the use of laboratories. The questionnaire was reviewed and pretested before finalization. Descriptive analysis was done.


Of 443 respondents, 99% were males and 14% never went to school. 96% never vaccinated their animals for Brucella and 32% mentioned using antibiotics in FMD. Only 26% heard about antibiotic resistance. 56% mentioned keeping leftover antibiotics for future use. 74% mentioned buying antibiotics without veterinary advice and 98% get antibiotics from the veterinary drug store. 67 % do not keep a record of the antibiotics used on their farms and 11% never heard about veterinary laboratories.


Dairy farmers lack knowledge of AMR and AMU. Major factors influencing their behavior were lack of knowledge about AMR, inaccessibility to laboratories, cost of veterinary services and no training regarding AMU and AMR. Awareness of the farmers along with providing them with best practice guidelines will be an effective strategy to reduce the global burden of AMR. Furthermore, regulation to restrict the over-the-counter availability of antibiotics should be implemented.


KAP, Antibiotic use, Antibiotic resistance, Dairy farmers, Pakistan

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Title":"Dr.","FirstName":"Javaria","LastName":"Alam","Position":"Health Promotion Specialist","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Alam J"},{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Title":"Dr","FirstName":"Muhammad Farooq","LastName":"Tahir","Position":"Technical Advisor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Tahir M"},{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Title":"Dr","FirstName":"Joanna","LastName":"Mckenzie","Position":"Specialist in One Health Epidemiology and International Development","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mckenzie J"},{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Title":"Dr","FirstName":"Ian","LastName":"Dohoo","Position":"Veterinary epidemiologist and Professor","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Dohoo I"},{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Title":"Dr","FirstName":"Marika","LastName":"Wenemark","Position":"Senior lecturer","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Wenemark M"},{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Title":null,"FirstName":"Fardad","LastName":"Baig","Position":"Program Officer","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Baig F"},{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Title":"Dr","FirstName":"Riasat","LastName":"Wasee Ullah","Position":"Assistant Animal Husbandry Commission","Affiliations":"5","IsPresenting":false,"SortOrder":7,"DisplayName":"Wasee Ullah R"},{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Title":"Dr","FirstName":"Ayesha","LastName":"Rasheed","Position":"Team Lead","Affiliations":"6","IsPresenting":false,"SortOrder":8,"DisplayName":"Rasheed A"},{"PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Title":"Dr.","FirstName":"Muhammad Usman","LastName":"Zaheer","Position":"Surveillance Lead","Affiliations":"1","IsPresenting":true,"SortOrder":9,"DisplayName":"Zaheer M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Number":1,"Affiliation":"The Fleming Fund Country Grant Pakistan, Health Security Partners, Washington, DC 20037","City":null,"State":null,"Country":"USA","AffiliationDisplay":"The Fleming Fund Country Grant Pakistan, Health Security Partners, Washington, DC 20037, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Number":2,"Affiliation":"Molecular Epidemiology Laboratory (mEpiLab), School of Veterinary Sciences, Massey University","City":null,"State":null,"Country":"New Zealand","AffiliationDisplay":"Molecular Epidemiology Laboratory (mEpiLab), School of Veterinary Sciences, Massey University, New Zealand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Number":3,"Affiliation":"Centre for Veterinary Epidemiological Research, University of PEI, Charlottetown, PEI C1A 4P3","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"Centre for Veterinary Epidemiological Research, University of PEI, Charlottetown, PEI C1A 4P3, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Number":4,"Affiliation":"Department of Health, Medicine and Caring science, Linköping University, SE-58 183 Linköping","City":null,"State":null,"Country":"Sweden","AffiliationDisplay":"Department of Health, Medicine and Caring science, Linköping University, SE-58 183 Linköping, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Number":5,"Affiliation":"Livestock Wing, Ministry of National Food Security and Research, Islamabad 44000","City":null,"State":null,"Country":"Pakistan","AffiliationDisplay":"Livestock Wing, Ministry of National Food Security and Research, Islamabad 44000, Pakistan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"88b7c853-3198-4543-8e0f-05eea1f0a945","Number":6,"Affiliation":"The Fleming Fund Country Grant Pakistan, DAI, Islamabad 44000","City":null,"State":null,"Country":"Pakistan","AffiliationDisplay":"The Fleming Fund Country Grant Pakistan, DAI, Islamabad 44000, Pakistan"}],"AuthorsHtml":"Alam J1, Tahir M1, Mckenzie J2, Dohoo I3, Wenemark M4, Baig F1, Wasee Ullah R5, Rasheed A6, Zaheer M1","AffiliationsHtml":"
1The Fleming Fund Country Grant Pakistan, Health Security Partners, Washington, DC 20037, USA
2Molecular Epidemiology Laboratory (mEpiLab), School of Veterinary Sciences, Massey University, New Zealand
3Centre for Veterinary Epidemiological Research, University of PEI, Charlottetown, PEI C1A 4P3, Canada
4Department of Health, Medicine and Caring science, Linköping University, SE-58 183 Linköping, Sweden
5Livestock Wing, Ministry of National Food Security and Research, Islamabad 44000, Pakistan
6The Fleming Fund Country Grant Pakistan, DAI, Islamabad 44000, Pakistan
"},{"Title":"Knowledge, Attitude and Practices (KAP) survey on veterinary drug prescription","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"c78082d1-44ee-4d4e-a73b-ab9df90ab0da","Date":"2022-08-08T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Monday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Html":null,"PlainText":"Antimicrobial resistance (AMR) is an emerging public health issue. However, despite the growing recognition of the urgency of tackling AMR, there is limited data available about the attitudes of veterinarians towards AMR and AMU in Pakistan. Therefore, this study aims to explore the knowledge, attitude and practices of the veterinarians and factors influencing their behaviors regarding AMU and AMR.


A cross-sectional KAP survey was conducted in all provinces and administrative territories of Pakistan from 28th June to 15th September 2021. Systematically representative samples (n=160) of the in-service veterinarians were calculated and a questionnaire, developed through a consultative process, containing questions on AMU and AMR in dairy animals was used to collect the data. The questionnaire was reviewed by experts and pretested before finalization. Descriptive analysis was done.



Of 164 respondents, 86 % were males. 61 % never heard about National Action Plan for AMR Surveillance in Pakistan and 84% were not able to identify Colistin as CIA. 69 % think that AMR is currently affecting the health of dairy animals in Pakistan. 33 % think that resistant-causing genes in bacteria cannot transmit to humans and 34% mentioned not considering milk withdrawal period before suggesting antibiotics. 75 % felt that irrational use of antibiotics is due to difficulty in making an accurate diagnosis. Almost, 33 % of the respondents did not send any samples to a laboratory for examination in the last 12 months.


The findings of this KAP study provide evidence-based data on the prescription behavior of veterinarians across Pakistan. The gaps have been identified in the knowledge, attitude and practices of a veterinarian regarding AMU and drivers of AMR that need to be addressed through awareness and training. Furthermore, antimicrobial stewardship is critical for the containment of ever-emerging and life-threatening antimicrobial resistance.

KAP, Antibiotic use, antibiotic resistance, veterinarians, Pakistan

","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":"Dr.","FirstName":"Javaria","LastName":"Alam","Position":"Health Promotion Specialist","Affiliations":"1","IsPresenting":false,"SortOrder":1,"DisplayName":"Alam J"},{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":"Dr","FirstName":"Muhammad Farooq","LastName":"Tahir","Position":"Technical Advisor","Affiliations":"1","IsPresenting":false,"SortOrder":2,"DisplayName":"Tahir M"},{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":"Dr","FirstName":"Joanna","LastName":"Mckenzie","Position":"Specialist in One Health Epidemiology and International Development","Affiliations":"2","IsPresenting":false,"SortOrder":3,"DisplayName":"Mckenzie J"},{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":"Mr.","FirstName":"Ian","LastName":"Dohoo","Position":"Professor Emeritus","Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Dohoo I"},{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":"Dr.","FirstName":"Marika","LastName":"Wenemark","Position":"Senior lecturer","Affiliations":"4","IsPresenting":false,"SortOrder":5,"DisplayName":"Wenemark M"},{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":null,"FirstName":"Fardad","LastName":"Baig","Position":"Program Officer","Affiliations":"1","IsPresenting":false,"SortOrder":6,"DisplayName":"Baig F"},{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":"Dr","FirstName":"Riasat","LastName":"Wasee Ullah","Position":"Assistant Animal Husbandry Commission","Affiliations":"5","IsPresenting":false,"SortOrder":7,"DisplayName":"Wasee Ullah R"},{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":"Dr","FirstName":"Samiullah","LastName":"Bahadur","Position":"Technical Coordinator","Affiliations":"6","IsPresenting":false,"SortOrder":8,"DisplayName":"Bahadur S"},{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":"Dr","FirstName":"Ayesha","LastName":"Rasheed","Position":"Team Lead","Affiliations":"6","IsPresenting":false,"SortOrder":9,"DisplayName":"Rasheed A"},{"PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Title":"Dr.","FirstName":"Muhammad Usman","LastName":"Zaheer","Position":"Surveillance Lead","Affiliations":"1","IsPresenting":true,"SortOrder":10,"DisplayName":"Zaheer M"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Number":1,"Affiliation":"The Fleming Fund Country Grant Pakistan, Health Security Partners, Washington, DC 20037","City":null,"State":null,"Country":"USA","AffiliationDisplay":"The Fleming Fund Country Grant Pakistan, Health Security Partners, Washington, DC 20037, USA"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Number":2,"Affiliation":"Molecular Epidemiology Laboratory (mEpiLab), School of Veterinary Sciences, Massey University","City":null,"State":null,"Country":"New Zealand","AffiliationDisplay":"Molecular Epidemiology Laboratory (mEpiLab), School of Veterinary Sciences, Massey University, New Zealand"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Number":3,"Affiliation":"Centre for Veterinary Epidemiological Research, University of PEI, Charlottetown, PEI C1A 4P3","City":null,"State":null,"Country":"Canada","AffiliationDisplay":"Centre for Veterinary Epidemiological Research, University of PEI, Charlottetown, PEI C1A 4P3, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Number":4,"Affiliation":"Department of Health, Medicine and Caring science, Linköping University, SE-58 183 Linköping","City":null,"State":null,"Country":"Sweden","AffiliationDisplay":"Department of Health, Medicine and Caring science, Linköping University, SE-58 183 Linköping, Sweden"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Number":5,"Affiliation":"Livestock Wing, Ministry of National Food Security and Research, Islamabad 44000","City":null,"State":null,"Country":"Pakistan","AffiliationDisplay":"Livestock Wing, Ministry of National Food Security and Research, Islamabad 44000, Pakistan"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"cb833723-a8af-4f71-8f99-2311d59ab3d7","Number":6,"Affiliation":"The Fleming Fund Country Grant Pakistan, DAI, Islamabad 44000","City":null,"State":null,"Country":"Pakistan","AffiliationDisplay":"The Fleming Fund Country Grant Pakistan, DAI, Islamabad 44000, Pakistan"}],"AuthorsHtml":"Alam J1, Tahir M1, Mckenzie J2, Dohoo I3, Wenemark M4, Baig F1, Wasee Ullah R5, Bahadur S6, Rasheed A6, Zaheer M1","AffiliationsHtml":"
1The Fleming Fund Country Grant Pakistan, Health Security Partners, Washington, DC 20037, USA
2Molecular Epidemiology Laboratory (mEpiLab), School of Veterinary Sciences, Massey University, New Zealand
3Centre for Veterinary Epidemiological Research, University of PEI, Charlottetown, PEI C1A 4P3, Canada
4Department of Health, Medicine and Caring science, Linköping University, SE-58 183 Linköping, Sweden
5Livestock Wing, Ministry of National Food Security and Research, Islamabad 44000, Pakistan
6The Fleming Fund Country Grant Pakistan, DAI, Islamabad 44000, Pakistan
"}],"DisplayName":"Muhammad Usman Zaheer","TimeDisplay":null},{"ContactId":"a765519e-bb02-4f17-8cd5-d2d03defd55e","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Lior","LastName":"Zamir","Position":"","Organization":"Veterinary Services and Animal Health","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Shared depleted natural water sources link beef cattle, wild boars and humans in a large leptospirosis outbreak in the Mediterranean temperate climate of Israel","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"ed44d921-18b5-415b-996b-9f60fc06a350","Date":"2022-08-08T00:00:00+00:00","StartTime":"13:30:00","EndTime":"15:00:00","Name":"Breakout Session 2.A - Capacity building in national veterinary service/ Climate Change Impacts and Policy","Location":"Halifax Convention Centre │Room 501","DateDisplay":"Monday, August 8, 2022","TimeDisplay":"1:30 PM - 3:00 PM"},"Documents":[{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Html":null,"PlainText":"Objective: Leptospirosis, a disease mainly associated with water abundance in the tropical climate zone was, in contrast, found to be associated with scarcity of available water sources after consecutive years of drought in the Mediterranean temperate climate. During the summer of 2018, the Israel Ministry of Health reported an outbreak of leptospirosis among individuals with a history of recreational activity in several streams and natural pools in the Golan Heights region. An animal source was suspected.
Materials and methods: From August through October 2018, we conducted a serological survey of 848 beef cattle belonging to 29 herds from 11 farms, and 13 wild boars, all of which were located in proximity to the streams suspected to be contaminated during the human outbreak. Sera were tested by the micro agglutination test (MAT) for the presence of antibodies against serovar Pomona.
Results: Seropositivity (titer ≥1:100) of 233/845 (27.6%, 95% confidence interval (CI95%) =24.6-30.1%) was found in beef cattle, and 7/13 (54%, CI95%=25.1-80.8%) in wild boars. The seroprevalence in beef cattle varied between animals drinking from natural water sources (220/539) and water troughs (13/306) and a significant positive association (odds ratio=18.6, CI95%=3-116, p-value<0.01) was found using a mixed effects logistic regression model with 'herd' as a random variable.
Conclusion: Under the increasing changes in climate in the last decades, Leptospirosis outbreaks may occur in less expected settings than previously described and this phenomenon may become more frequent in the future. The outcomes of this study emphasize the One Health link between animals, human and the environment, and the potential usefulness of adding water troughs for grazing beef herds, for preventing future outbreaks.","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Lior","LastName":"Zamir","Position":null,"Affiliations":"2","IsPresenting":true,"SortOrder":1,"DisplayName":"Zamir L"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Miri","LastName":"Baum","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":2,"DisplayName":"Baum M"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Svetlana ","LastName":"Bardenstein","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Bardenstein S"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Shlomo","LastName":"Blum","Position":null,"Affiliations":"3","IsPresenting":false,"SortOrder":4,"DisplayName":"Blum S"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Jacob","LastName":"Moran-Gilad","Position":null,"Affiliations":"5","IsPresenting":false,"SortOrder":5,"DisplayName":"Moran-Gilad J"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Michal","LastName":"Perry Markovich","Position":null,"Affiliations":"1,2","IsPresenting":false,"SortOrder":6,"DisplayName":"Perry Markovich M"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Roni","LastName":"King","Position":null,"Affiliations":"4","IsPresenting":false,"SortOrder":7,"DisplayName":"King R"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Roi","LastName":"Lapid","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":8,"DisplayName":"Lapid R"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Fares","LastName":"Hamad","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":9,"DisplayName":"Hamad F"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":null,"FirstName":"Boris","LastName":"Even-Tov","Position":null,"Affiliations":"2","IsPresenting":false,"SortOrder":10,"DisplayName":"Even-Tov B"},{"PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Title":"Dr.","FirstName":"Ehud","LastName":"Elnekave","Position":null,"Affiliations":"1","IsPresenting":false,"SortOrder":11,"DisplayName":"Elnekave E"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Number":1,"Affiliation":"Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem","City":"Rehovot","State":"Israel","Country":"Israel","AffiliationDisplay":"Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Rehovot Israel, Israel"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Number":2,"Affiliation":"Veterinary Services and Animal Health","City":"Rosh Pinna","State":"Israel","Country":"Israel","AffiliationDisplay":"Veterinary Services and Animal Health, Rosh Pinna Israel, Israel"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Number":3,"Affiliation":"Bacteriology Department, Kimron Veterinary Institute","City":"Bayit Dagan","State":"Israel","Country":"Israel","AffiliationDisplay":"Bacteriology Department, Kimron Veterinary Institute, Bayit Dagan Israel, Israel"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Number":4,"Affiliation":"Israel Nature and Parks Authority","City":"Jerusalem","State":"Israel","Country":"Israel","AffiliationDisplay":"Israel Nature and Parks Authority, Jerusalem Israel, Israel"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"818408c2-05ce-42c1-86e8-2e160b72631c","Number":5,"Affiliation":"Department of Health Policy and Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev","City":"Beer Sheva","State":"Israel","Country":"Israel","AffiliationDisplay":"Department of Health Policy and Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva Israel, Israel"}],"AuthorsHtml":"Zamir L2, Baum M3, Bardenstein S3, Blum S3, Moran-Gilad J5, Perry Markovich M1,2, King R4, Lapid R1, Hamad F2, Even-Tov B2, Elnekave E1","AffiliationsHtml":"
1Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Rehovot Israel, Israel
2Veterinary Services and Animal Health, Rosh Pinna Israel, Israel
3Bacteriology Department, Kimron Veterinary Institute, Bayit Dagan Israel, Israel
4Israel Nature and Parks Authority, Jerusalem Israel, Israel
5Department of Health Policy and Management, School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva Israel, Israel
"}],"DisplayName":"Lior Zamir","TimeDisplay":null},{"ContactId":"018c897b-1035-4f5a-afad-a7c211467085","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Mohammad Arad","LastName":"Zandieh","Position":"Phd student","Organization":"Tehran University","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Estimation of Direct and Indirect Cost of Clinical Mastitis in Dairy Herds of Isfahan province","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"16c23684-eaae-43b0-893f-835b45ee97f1","Html":null,"PlainText":"Introduction & aim: Bovine Mastitis is the most important and costly disease in dairy herds. Most of the economic cost due to mastitis from farmers' point of view seems to be the cost of veterinarian and mastitis treatment. By predicting the level of damage and ranking the factors that influence mastitis cost, farmers' awareness and decision-making will improve.
Methods: Data were obtained from three large dairy herds for three years from 2018 to 2021. Mastitis cows were assigned to 2 groups based on the lactation period: first and second and later lactation period and 3 groups based on the severity of mastitis: mild, moderate, and severe. In this study, decreased milk production, replacement heifers price, discarded milk cost, veterinary services price, drugs cost, and expenditure of prevention and control policy of mastitis were considered as effective factors in disease cost.
Results: Indirect cost of mastitis is greater than the direct cost of mastitis. The average cost of clinical mastitis cases was varying from $434 to $493 and the average cost of fatal clinical mastitis was varying from $1,080 to $1,130. Significant losses in milk yield (70% to 90%) have the highest cost of clinical mastitis losses, and heifer replacement cost (50% to 65%) is the highest cost in fatal clinical mastitis. Increased lactation period and the degree of mastitis also show higher losses and cost of the disease.
Conclusion: Due to the high cost of the disease at the herd level and the high prevalence of mastitis in modern dairy herds, the importance of prevention and control becomes more obvious. National surveillance and monitoring system for dairy herds can prevent severe disease costs to herds.
Keywords: Dairy Cow, Mastitis, Economics, Cost Analysis
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"16c23684-eaae-43b0-893f-835b45ee97f1","Title":"Dr.","FirstName":"Mohammad Arad","LastName":"Zandieh","Position":"Phd student","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Zandieh M"},{"PresentationId":"16c23684-eaae-43b0-893f-835b45ee97f1","Title":"M.A. Eslampour","FirstName":"Mohammad Amin","LastName":"Eslampour","Position":"Department of Clinical Science","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Eslampour M"},{"PresentationId":"16c23684-eaae-43b0-893f-835b45ee97f1","Title":"S. Bokaee","FirstName":"Saeed","LastName":"Bokaee","Position":"Professor of Epidemiology","Affiliations":"3","IsPresenting":false,"SortOrder":3,"DisplayName":"Bokaee S"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"16c23684-eaae-43b0-893f-835b45ee97f1","Number":1,"Affiliation":"Faculty of Veterinary Medicine, Tehran University","City":"Tehran","State":"Tehran ","Country":"Iran","AffiliationDisplay":"Faculty of Veterinary Medicine, Tehran University, Tehran Tehran , Iran"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"16c23684-eaae-43b0-893f-835b45ee97f1","Number":2,"Affiliation":"Department of Clinical Science ,Islamic Azad University","City":"Tehran","State":"Tehran","Country":"Iran","AffiliationDisplay":"Department of Clinical Science ,Islamic Azad University, Tehran Tehran, Iran"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"16c23684-eaae-43b0-893f-835b45ee97f1","Number":3,"Affiliation":"Faculty of Veterinary Medicine, Tehran University","City":"Tehran","State":"Tehran","Country":"Iran","AffiliationDisplay":"Faculty of Veterinary Medicine, Tehran University, Tehran Tehran, Iran"}],"AuthorsHtml":"Zandieh M1, Eslampour M2, Bokaee S3","AffiliationsHtml":"
1Faculty of Veterinary Medicine, Tehran University, Tehran Tehran , Iran
2Department of Clinical Science ,Islamic Azad University, Tehran Tehran, Iran
3Faculty of Veterinary Medicine, Tehran University, Tehran Tehran, Iran
"}],"DisplayName":"Mohammad Arad Zandieh","TimeDisplay":null},{"ContactId":"de3b12ca-4b46-4eda-973e-359ce1e1c3ed","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Joel","LastName":"Zhang","Position":"","Organization":"University of Western Ontario","PhotoUrl":null,"IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Evaluation of healthcare facilities and services provided for tuberculosis and zoonotic tuberculosis in Kajiado County, Kenya","Bio":null,"PresentationTypeName":"Poster Presentation","Session":{"Id":"303d9da6-c7ce-4a24-a67b-3568f1ac2719","Date":"2022-08-09T00:00:00+00:00","StartTime":"16:30:00","EndTime":"17:30:00","Name":"Poster Session Tuesday","Location":"Halifax Convention Centre │Ballroom B1","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"4:30 PM - 5:30 PM"},"Documents":[{"PresentationId":"79e20cc8-f079-4028-b3f2-94134cfd69f5","Html":null,"PlainText":"Objectives: To evaluate current capacities, logistics, and infrastructure in place for diagnosis and treatment of tuberculosis (TB) and zoonotic tuberculosis (ZTB) within healthcare facilities located in rural Kajiado County, Kenya. Knowledge, attitudes, and practices (KAP) among healthcare workers were also explored as part of initial data collection.

Materials and methods: A questionnaire was developed and delivered by collaborators at Talaku- A Community Based Organization in Kajiado to 25 healthcare facilities. These healthcare facilities were selected purposively based upon accessibility in these remote areas of Kajiado. The questionnaire was given to three health workers at each healthcare facility during January-February, 2022. The questionnaire included twenty-six quantitative/qualitative questions regarding TB/ZTB diagnostic and treatment capacities, availabilities, and knowledge, attitudes, and practices regarding TB and ZTB among healthcare workers. Descriptive analysis including means, standard deviations, minimums, medians, maximums for continuous data, and counts and proportions for categorical data will be used to analyze the data.

Results: As of February 11, 2022, data collection was completed, and data is available from sixty-nine responders at 25 different facilities. Data formatting and cleaning is being conducted, and we plan to analyze the data between March-July, 2022. Final results will be presented at ISVEE 16 in August 2022.

Conclusions: We are confident that the data collected from these rural healthcare facilities, as well the results from the planed analysis, will positively contribute to 1) create awareness for TB and ZTB, diseases that continue to be neglected, especially in marginalized rural communities, and 2), providing new information to key local stakeholders in Kenya, thus contributing by providing key knowledge and information to guide further work towards addressing the challenges poised by TB and ZTB, and thus improve healthcare facilities services and capabilities available/provided to people in these rural and marginalized communities in Kenya.

Keywords: Tuberculosis, Zoonotic Disease, One Health
","DocumentFormatType":4,"Url":null,"DocumentTypeId":"00000000-0000-0000-0000-000000000000","Name":"Abstract","Order":0,"IsDocument":false,"IsLink":false,"IsHtml":true,"IconClass":null}],"Authors":[{"PresentationId":"79e20cc8-f079-4028-b3f2-94134cfd69f5","Title":"Mr.","FirstName":"Joel","LastName":"Zhang","Position":"","Affiliations":"1","IsPresenting":true,"SortOrder":1,"DisplayName":"Zhang J"},{"PresentationId":"79e20cc8-f079-4028-b3f2-94134cfd69f5","Title":"Ms.","FirstName":"Timpiyian","LastName":"Leseni","Position":"Founder","Affiliations":"2","IsPresenting":false,"SortOrder":2,"DisplayName":"Leseni T"},{"PresentationId":"79e20cc8-f079-4028-b3f2-94134cfd69f5","Title":"Dr.","FirstName":"Francisco","LastName":"Olea Popelka","Position":"Beryl Ivey Endowed Chair in One Health","Affiliations":"1","IsPresenting":false,"SortOrder":3,"DisplayName":"Olea Popelka F"}],"Affiliations":[{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"79e20cc8-f079-4028-b3f2-94134cfd69f5","Number":1,"Affiliation":"Department of Pathology and Laboratory Medicine, Schulich School of Medicine and Dentistry,University Of Western Ontario","City":"London","State":"ON","Country":"Canada","AffiliationDisplay":"Department of Pathology and Laboratory Medicine, Schulich School of Medicine and Dentistry,University Of Western Ontario, London ON, Canada"},{"Id":"00000000-0000-0000-0000-000000000000","PresentationId":"79e20cc8-f079-4028-b3f2-94134cfd69f5","Number":2,"Affiliation":"Talaku - A Community Based Organization","City":"Kajiado County","State":null,"Country":"Kenya","AffiliationDisplay":"Talaku - A Community Based Organization, Kajiado County, Kenya"}],"AuthorsHtml":"Zhang J1, Leseni T2, Olea Popelka F1","AffiliationsHtml":"
1Department of Pathology and Laboratory Medicine, Schulich School of Medicine and Dentistry,University Of Western Ontario, London ON, Canada
2Talaku - A Community Based Organization, Kajiado County, Kenya
"}],"DisplayName":"Joel Zhang","TimeDisplay":null},{"ContactId":"d9a8331a-d148-44b2-8ec4-b55971ec4c33","PresenationTitle":null,"PresentationBio":null,"Title":null,"FirstName":"Cheng","LastName":"Zhao","Position":"","Organization":"ETH Zurich","PhotoUrl":"https://az659834.vo.msecnd.net/eventsaircancprod/production-venuewest-public/f1226233ab2c453ab030b17258684103","IsPresentingAuthor":false,"Order":null,"Documents":null,"CoAuthors":null,"StartTime":null,"EndTime":null,"KeywordIds":null,"SocialMedia":{"_twitterHandle":null,"_facebookUrl":null,"_linkedInUrl":null,"_youTubeUrl":null,"_pinterestUrl":null,"_instagramUrl":null,"GooglePlusUrl":null,"TwitterHandle":null,"FacebookUrl":null,"LinkedInUrl":null,"YouTubeUrl":null,"PinterestUrl":null,"InstagramUrl":null,"FullGooglePlusUrl":"","FullTwitterHandle":"","FullFacebookUrl":"","FullLinkedInUrl":"","FullYouTubeUrl":"","FullPinterestUrl":"","FullInstagramUrl":"","EmptyLinksCount":7},"SocialMediaLinks":[],"Bio":null,"Presentations":[{"Title":"Optimizing surveillance of antimicrobial resistance in animals – a geospatial analysis in China","Bio":null,"PresentationTypeName":"Oral Presentation","Session":{"Id":"fd060aa9-cb01-4fd4-a88f-87ada9e19561","Date":"2022-08-09T00:00:00+00:00","StartTime":"15:30:00","EndTime":"16:30:00","Name":"Breakout Session 6.E - AMR","Location":"Halifax Convention Centre │Room 612+613","DateDisplay":"Tuesday, August 9, 2022","TimeDisplay":"3:30 PM - 4:30 PM"},"Documents":[{"PresentationId":"65404d10-b50c-47b3-9ab9-d6eddcdd3a00","Html":null,"PlainText":"Objectives
The rise of antimicrobial resistance (AMR) in food animals is a growing threat for animal health, and potentially for human health. China, as the world’s largest user of veterinary antimicrobials could play a pivotal role in leading the international response to AMR, and maps of AMR could help coordinate this response. Here, we used geospatial models to produce maps of AMR in China, and identify regions where future surveillance effort could be targeted in priority.

Materials and methods
We extracted resistance rates from 446 point-prevalence surveys on Escherichia coli, Salmonella, Campylobacter, and Staphylococcus aureus. We mapped the proportion of drugs tested with resistance rates higher than 50%. The uncertainty map associated with these predictions was used to identify locations where surveillance efforts could be intensified in the future. We calculated an index of ‘necessity for additional surveillance’ - the product between uncertainty in AMR level and animal densities- to identify locations where 50 surveys could be conducted such as to minimize uncertainty on future AMR levels in China.

Results
In China, AMR levels were the highest in the east and lowest in the southwest. Regions that would benefit the most from increased surveillance were the southwest (21/50 surveys) and northeast (11/50 surveys) (Figure). Using geographically targeted surveillance could reduce uncertainty of AMR level by 104% compared with an even distribution of surveys across administrative divisions.

Conclusion
Our findings help outline priorities for AMR surveillance in China, and identify where future surveys could best improve the accuracy of AMR maps.
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1Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland
2Center for Disease Dynamics, Economics & Policy, Washington D.C., USA
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