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Abstract
This study uses stochastic dynamic modeling to assess the sensitivity of current and alternative Salmonella surveillance programs in Danish broiler production. The model incorporates Salmonella transmission dynamics in parent flocks and the relationship between flock prevalence and test sensitivity for environmental samples. Results show that increasing the number of boot swabs and adding dust samples significantly improves the likelihood of detecting infected parent flocks within three weeks. The model also indicates a high likelihood of detecting vertically infected broiler flocks, even with minimal initial infection.
Publisher
Scientific Reports
Published On
Nov 10, 2020
Authors
Ofosuhene O. Apenteng, Mark E. Arnold, Håkan Vigre
Tags
Salmonella
surveillance programs
broiler production
Danish agriculture
infection detection

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