Bayesian spatio-temporal modelling of environmental, climatic, and socio-economic influences on malaria in Central Vietnam.

ABSTRACT:

Background

Despite the successful efforts in controlling malaria in Vietnam, the disease remains a significant health concern, particularly in Central Vietnam. This study aimed to assess correlations between environmental, climatic, and socio-economic factors in the district with malaria cases.

Methods

The study was conducted in 15 provinces in Central Vietnam from January 2018 to December 2022. Monthly malaria cases were obtained from the Institute of Malariology, Parasitology, and Entomology Quy Nhon, Vietnam. Environmental, climatic, and socio-economic data were retrieved using a Google Earth Engine script. A multivariable Zero-inflated Poisson regression was undertaken using a Bayesian framework with spatial and spatiotemporal random effects with a conditional autoregres

SUBMITTER: Tam LT 

PROVIDER: S-EPMC11344946 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature