Evaluation of spatial variation in chronic wasting disease risk with Bayesian Poisson log-Gaussian model.

ABSTRACT: Chronic wasting disease (CWD) is a fatal neurodegenerative disease among cervids that has steadily spread across the United States and Canada. The year-to-year increase in the geographic spread of this disease among white-tailed deer and mule deer have raised concerns about conserving these species and sustainable big-game hunting. Knowledge of the spatial variation in CWD risk in Kansas, a state that attracts big game hunters nationwide is not fully understood. We explored the spatial variation in CWD risk and the potential effects of habitat-level covariates using surveillance data collected in Kansas from 2005 to 2023, with a Poisson log-Gaussian model in a Bayesian framework. Two models were considered; Model 1 included only spatial random effects and Model 2 included spatial random ef

SUBMITTER: Raghavan RK 

PROVIDER: S-EPMC12636040 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature