Data from: Application of a Bayesian weighted surveillance approach for detecting chronic wasting disease in white-tailed deer

Christopher S. Jennelle, Daniel P. Walsh, Michael D. Samuel, Erik E. Osnas, Robert Rolley, Julia Langenberg, Jenny G. Powers, Ryan J. Monello, E. David Demarest, Rolf Gubler & Dennis M. Heisey
SUMMARY 1. Surveillance is critical for the early detection of emerging and re-emerging infectious diseases, and weighted surveillance uses heterogeneity in risk of infection to increase the sampling efficiency. 2. 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 use these weights to conduct a surveillance program for detecting chronic wasting disease (CWD) in white-tailed deer at Shenandoah National Park...
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