Surveillance schemes based on markets are compared to those based on farms to identify the smallest number of sentinel holdings that can reliably and timely detect disease outbreaks in Swiss cattle. Using cattle transport network data, models are developed to analyze detection probability, detection delay, and outbreak size at detection. Sentinel surveillance approaches tailored with transport data are concluded to complement existing farm risk-based and syndromic surveillance approaches for early warning of infectious disease outbreaks on cattle transport networks.

1. 1EuFMD | Open Session special edition | #OS20se
Dr. Beatriz Vidondo
Veterinary Public Health Institute / University of Bern / Switzerland
Early warning
of infectious disease outbreaks on cattle-
transport networks

2. 2EuFMD | Open Session special edition | #OS20se
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video
Objective
Comparing a surveillance scheme based on markets to one based on farms,
we aim to identify the smallest set of sentinel holdings that would
reliably and timely detect emergent disease outbreaks in Swiss cattle

3. 3EuFMD | Open Session special edition | #OS20se
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video
Detection Probability, Detection Delay
and Outbreak Size at Detection
 Schirdewahn, Hövel, Lentz, Vidondo et al (on revision)

4. 4EuFMD | Open Session special edition | #OS20se
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Conclusion
We conclude that the design of animal surveillance systems greatly benefits from the use of the
existing abundant and detailed animal transport data especially in the case of highly dynamic
cattle transport networks.
Sentinel surveillance approaches can be tailored to complement existing
farm risk-based and syndromic surveillance approaches.

5. eufmdvirtual.com
8, 10, 15, 17 December 2020
EuFMD / Open Session