Unknown

Dataset Information

Impact of weather extremes on the spatiotemporal dynamics of visceral leishmaniasis in Brazil.


ABSTRACT:

Background

Vector-borne diseases are highly sensitive to environmental and climatic conditions, which can directly affect vector behavior, parasite development, and transmission dynamics. Identifying the key meteorological drivers of these diseases and understanding the timing of their impacts is crucial for enhancing public health preparedness. This study focuses on visceral leishmaniasis (VL) in Brazil; a parasitic vector-borne disease spread by the bite of infected sandflies whose distribution is heavily influenced by environmental conditions.

Methodology

We analyzed monthly confirmed VL cases from 2007-2022 using distributed lag nonlinear models within a spatiotemporal Bayesian hierarchical model framework to assess the nonlinear, time-lagged associations between locally

SUBMITTER: Adams QH 

PROVIDER: S-EPMC12303289 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature