Spatiotemporal bayesian modelling of scorpionism and its risk factors in the state of Sao Paulo, Brazil.

ABSTRACT:

Background

Scorpion stings in Brazil represent a major public health problem due to their incidence and their potential ability to lead to severe and often fatal clinical outcomes. A better understanding of scorpionism determinants is essential for a precise comprehension of accident dynamics and to guide public policy. Our study is the first to model the spatio-temporal variability of scorpionism across municipalities in São Paulo (SP) and to investigate its relationship with demographic, socioeconomic, environmental, and climatic variables.

Methodology

This ecological study analyzed secondary data on scorpion envenomation in SP from 2008 to 2021, using the Integrated Nested Laplace Approximation (INLA) to perform Bayesian inference for detection of areas and periods with t

SUBMITTER: Chiaravalloti-Neto F 

PROVIDER: S-EPMC10313024 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature