Projects per year
Abstract
Introduction: Syndromic surveillance (SS), tracking nonspecific disease indicators, is invaluable for early livestock disease detection. We present findings from a workshop engaging Scottish Government (SG) advisors, British surveillance experts, and academics to devise a syndromic surveillance strategy for livestock diseases in Scotland.
Methods: Participants were invited through SG’s and EPIC’s network and convened on September 7th, 2023, in Edinburgh. Ethical approval for the workshop was obtained from the relevant institutions. The session included a brief introduction to SS and two tasks: 1) prioritising diseases by class, with a choice of 6 classes, and 2) Selecting diseases within the top 2 classes per species (cattle, sheep, pigs). Groups prioritised disease classes, offered justifications, and presented results for discussion and voting. All participants voted on final disease priorities for each species.
Results: Thirty-two participants attended. Most specialised in cattle (28), followed by sheep (23) and pigs (20). Among disease classes, disease X (a previously unknown emerging disease) ranked highest, followed by non-regulated endemic diseases, non-regulated exotic diseases, regulated diseases, non-foodborne zoonotic diseases, and foodborne diseases. Participants prioritised mostly syndromes (e.g. respiratory disease indicators, such as pneumonia) rather than diseases -among non-regulated endemic and exotic diseases classes for each species.
Discussion: Participants varied in backgrounds, some focusing on specific livestock diseases and others on overall animal health improvement. They prioritised disease syndromes detectable through laboratories, animal health schemes, and farms' datasets to address non-regulated endemic and exotic diseases. These diseases, lack effective monitoring and quick control protocols and have- significant day-to-day impacts.
Conclusion: Disease X was the primary surveillance class followed by non-regulated endemic and exotic diseases. Participants prioritised syndromes detectable in existing datasets, recognising the need for effective monitoring and rapid control measures to mitigate the day-to-day impacts of endemic diseases and prevent potential risks from emerging and exotic diseases.
Methods: Participants were invited through SG’s and EPIC’s network and convened on September 7th, 2023, in Edinburgh. Ethical approval for the workshop was obtained from the relevant institutions. The session included a brief introduction to SS and two tasks: 1) prioritising diseases by class, with a choice of 6 classes, and 2) Selecting diseases within the top 2 classes per species (cattle, sheep, pigs). Groups prioritised disease classes, offered justifications, and presented results for discussion and voting. All participants voted on final disease priorities for each species.
Results: Thirty-two participants attended. Most specialised in cattle (28), followed by sheep (23) and pigs (20). Among disease classes, disease X (a previously unknown emerging disease) ranked highest, followed by non-regulated endemic diseases, non-regulated exotic diseases, regulated diseases, non-foodborne zoonotic diseases, and foodborne diseases. Participants prioritised mostly syndromes (e.g. respiratory disease indicators, such as pneumonia) rather than diseases -among non-regulated endemic and exotic diseases classes for each species.
Discussion: Participants varied in backgrounds, some focusing on specific livestock diseases and others on overall animal health improvement. They prioritised disease syndromes detectable through laboratories, animal health schemes, and farms' datasets to address non-regulated endemic and exotic diseases. These diseases, lack effective monitoring and quick control protocols and have- significant day-to-day impacts.
Conclusion: Disease X was the primary surveillance class followed by non-regulated endemic and exotic diseases. Participants prioritised syndromes detectable in existing datasets, recognising the need for effective monitoring and rapid control measures to mitigate the day-to-day impacts of endemic diseases and prevent potential risks from emerging and exotic diseases.
Original language | English |
---|---|
Publication status | Print publication - 13 Nov 2024 |
Event | 17th International Symposium of Veterinary Epidemiology and Economics - Sydney, Australia Duration: 11 Nov 2024 → 15 Nov 2024 |
Conference
Conference | 17th International Symposium of Veterinary Epidemiology and Economics |
---|---|
Country/Territory | Australia |
City | Sydney |
Period | 11/11/24 → 15/11/24 |
Fingerprint
Dive into the research topics of 'Detecting Livestock Diseases Early: insights from a Syndromic Surveillance workshop to inform Scotland’s national strategy'. Together they form a unique fingerprint.Projects
- 1 Active
-
EPIC IV: Scottish Government's Centre of Expertise on Animal Disease Outbreaks, 2022 - 2025 (EPIC IV)
Toma, L. (CoI), Tongue, S. (CoI), Eze, J. (CoI), Hutchinson, I. (CoI), Stirling, J. (CoI), Rodrigues da Costa, M. (CoI), Lawton, S. (CoI), Denniston, J. (CoI), Berezowski, J. (CoI), Barnes, A. (PI), Sparks, N. (CoI) & Soliman, T. (Researcher)
1/04/22 → 31/03/25
Project: Research