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Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer

2018-11-01

Abstract excerpt

Surveillance is critical for early detection of emerging and re‐emerging infectious diseases. Weighted surveillance leverages heterogeneity in infection risk to increase sampling efficiency. Here, we apply a Bayesian approach to estimate weights for 16 surveillance classes of white‐tailed deer in Wisconsin, USA, relative to hunter‐harvested yearling males. We used these weights to conduct a surveillance programme...

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Literature Corpus work
8d6cb019-7b3d-5b86-b5f5-3756fda9cb9f
DOI
10.1111/1365-2664.13178
Open publication

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Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deerDOI 10.1111/1365-2664.13178
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