A mathematical modelling approach to uncover factors influencing the spread of Campylobacter in a flock of chickens
Despite continued efforts to improve biosecurity protocols, Campylobacter continues to be detected in the majority of commercial chicken flocks across Europe. Using an extensive data set of Campylobacter prevalence within a chicken breeder flock for over a year, multiple Bayesian models are presente...
| Главные авторы: | , , , , , |
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| Формат: | Journal article |
| Язык: | English |
| Опубликовано: |
Frontiers Media
2020
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