
Spatiotemporal bayesian modelling of scorpionism and its risk factors in the state of São Paulo, Brazil
Autor
Afiliação Butantan
Afiliação externa
Tipo de documento
Article
Idioma
English
Direitos de acesso
Open access
Licença de uso
CC BY
Aparece nas Coleções:
Métricas
Resumo em inglês
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 the most suitable conditions for scorpionism.
Principal findings
From the spring of 2008 to 2021, the relative risk (RR) increased eight times in SP, from 0.47 (95%CI 0.43–0.51) to 3.57 (95%CI 3.36–3.78), although there has been an apparent stabilization since 2019. The western, northern, and northwestern parts of SP showed higher risks; overall, there was a 13% decrease in scorpionism during winters. Among the covariates considered, an increase of one standard deviation in the Gini index, which captures income inequality, was associated with a 11% increase in scorpion envenomation. Maximum temperatures were also associated with scorpionism, with risks doubling for temperatures above 36°C. Relative humidity displayed a nonlinear association, with a 50% increase in risk for 30–32% humidity and reached a minimum of 0.63 RR for 75–76% humidity.
Conclusions
Higher temperatures, lower humidity, and social inequalities were associated with a higher risk of scorpionism in SP municipalities. By capturing local and temporal relationships across space and time, authorities can design more effective strategies that adhere to local and temporal considerations.
Referência
Chiaravalloti-Neto F, Lorenz C, Lacerda AB, de Azevedo TS, Candido DM, Eloy LJ, et al. Spatiotemporal bayesian modelling of scorpionism and its risk factors in the state of São Paulo, Brazil. PLoS Negl Trop Dis. 2023 Jun; 17(6):e0011435. doi:10.1371/journal.pntd.0011435.
URL permanente para citação desta referência
https://repositorio.butantan.gov.br/handle/butantan/4949
Sobre o periódico
Agência de fomento
Data de publicação
2023
Arquivos neste item
Este item está licenciada sob uma
Licença Creative Commons