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Spatiotemporal bayesian modelling of scorpionism and its risk factors in the state of São Paulo, Brazil.
Chiaravalloti-Neto, Francisco; Lorenz, Camila; Lacerda, Alec Brian; de Azevedo, Thiago Salomão; Cândido, Denise Maria; Eloy, Luciano José; Wen, Fan Hui; Blangiardo, Marta; Pirani, Monica.
Affiliation
  • Chiaravalloti-Neto F; School of Public Health, University of São Paulo, São Paulo, Brazil.
  • Lorenz C; School of Public Health, University of São Paulo, São Paulo, Brazil.
  • Lacerda AB; School of Public Health, University of São Paulo, São Paulo, Brazil.
  • de Azevedo TS; Health Department of the Municipality of Santa Bárbara d'Oeste, São Paulo, Brazil.
  • Cândido DM; Instituto Butantan, São Paulo, Brazil.
  • Eloy LJ; Epidemiological Surveillance Center "Prof. Alexandre Vranjac", São Paulo, Brazil.
  • Wen FH; Instituto Butantan, São Paulo, Brazil.
  • Blangiardo M; MRC Centre for Environment & Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
  • Pirani M; MRC Centre for Environment & Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
PLoS Negl Trop Dis ; 17(6): e0011435, 2023 Jun.
Article in En | MEDLINE | ID: mdl-37339128
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 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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Scorpion Stings Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2023 Document type: Article Affiliation country: Brasil

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Scorpion Stings Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do sul / Brasil Language: En Journal: PLoS Negl Trop Dis Journal subject: MEDICINA TROPICAL Year: 2023 Document type: Article Affiliation country: Brasil