Evidence map›Paper›PMID 37339128›Full record

ArticlePLoS neglected tropical diseases2023

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

Francisco Chiaravalloti-Neto, Camila Lorenz, Alec Brian Lacerda, Thiago Salomão de Azevedo, Denise Maria Cândido, Luciano José Eloy, Fan Hui Wen, Marta Blangiardo, Monica Pirani

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Francisco Chiaravalloti-NetoSchool of Public Health, University of São Paulo, São Paulo, Brazil.
Camila LorenzSchool of Public Health, University of São Paulo, São Paulo, Brazil.ORCID 0000-0003-2121-9063
Alec Brian LacerdaSchool of Public Health, University of São Paulo, São Paulo, Brazil.
Thiago Salomão de AzevedoHealth Department of the Municipality of Santa Bárbara d'Oeste, São Paulo, Brazil.
Denise Maria CândidoInstituto Butantan, São Paulo, Brazil.
Luciano José EloyEpidemiological Surveillance Center "Prof. Alexandre Vranjac", São Paulo, Brazil.
Fan Hui WenInstituto Butantan, São Paulo, Brazil.
Marta BlangiardoMRC Centre for Environment & Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Monica PiraniMRC Centre for Environment & Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.

Funding

Medical Research Council MR/S019669/1Wellcome Trust
6 · The paper itself

Abstract

backgroundScorpion 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

findingsFrom 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.

conclusionsHigher 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.

Indexed as

Scorpion StingsBayes TheoremBrazilHumansRisk FactorsSeasons

Identifiers

PMID37339128
PMCPMC10313024

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.