Identifying high-risk areas for dog-mediated rabies using Bayesian spatial regression.

ABSTRACT: Despite ongoing control efforts, rabies remains an endemic zoonotic disease in many countries. Determining high-risk areas and the space-time patterns of rabies spread, as it relates to epidemiologically important factors, can support policymakers and program managers alike to develop evidence-based targeted surveillance and control programs. In this One Health approach which selected Thailand as the example site, the location-based risk of contracting dog-mediated rabies by both human and animal populations was quantified using a Bayesian spatial regression model. Specifically, a conditional autoregressive (CAR) Bayesian zero-inflated Poisson (ZIP) regression was fitted to the reported human and animal rabies case counts of each district, from the 2012-2017 period. The human population wa

SUBMITTER: Kanankege KST 

PROVIDER: S-EPMC9582562 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature