Spatiotemporal occupancy patterns of chronic wasting disease.

ABSTRACT:

Introduction

Chronic wasting disease (CWD) among cervids in Kansas has seen a consistent rise over the years, both in terms of the number of infections and its geographical spread. In this study, we assessed the occupancy patterns of CWD among white-tailed deer and mule deer across the state.

Methods

Using surveillance data collected since 2005, we applied a dynamic patch occupancy model within a Bayesian framework, incorporating various environmental covariates. Using principal components analysis, 13 fully orthogonal components representing cervid habitat, soil, and elevation were derived. Competing models with different temporal patterns were fit, and the best model selected based on Watanabe-AIC values and AUC value of 0.89.

Results

The occupancy pattern produced

SUBMITTER: Davis AJ 

PROVIDER: S-EPMC11615082 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature