Evidence map›Paper›PMID 40465875›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2025

What are the characteristics and where is the highest risk of snakebite accidents in the state of São Paulo?

Gisele Dias de Freitas, Alec Brian Lacerda, Thiago Salomão de Azevedo, Anderson de Oliveira, Roberta Maria Fernandes Spinola, Flávio Santos Dourado, Fan Hui Wen, Francisco Chiaravalloti-Neto

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Gisele Dias de FreitasSecretaria de Estado da Saúde de São Paulo, Coordination of Disease Control, "Prof. Alexandre Vranjac" Epidemiological Surveillance Center - São Paulo (SP), Brazil.ORCID http://orcid.org/0009-0009-4756-6806
Alec Brian LacerdaUniversidade de São Paulo, School of Public Health - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-2971-0327
Thiago Salomão de AzevedoSecretaria de Saúde do Município de Santa Bárbara d'Oeste - Santa Bárbara d'Oeste (SP), Brazil.ORCID http://orcid.org/0000-0003-4802-0927
Anderson de OliveiraUniversidade de São Paulo, School of Public Health - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0001-6720-6394
Roberta Maria Fernandes SpinolaSecretaria de Estado da Saúde de São Paulo, Coordination of Disease Control, "Prof. Alexandre Vranjac" Epidemiological Surveillance Center - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-0196-2688
Flávio Santos DouradoMinistério da Saúde, Health Surveillance and Environment Secretariat, General Coordination of Zoonoses and Vector-Borne Diseases Surveillance - Brasília (DF), Brazil.ORCID http://orcid.org/0000-0002-6785-8947
Fan Hui WenInstituto Butantan, Bioindustrial Center - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-8191-559X
Francisco Chiaravalloti-NetoUniversidade de São Paulo, School of Public Health - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0003-2686-8740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo understand the pattern of snakebite envenomation, the objective was to describe accidents and deaths by snake genus, age group, sex, race/ethnicity, education level, place of residence and occurrence, seasonality, vegetation cover, and to identify spatial clusters with a higher risk of accidents in the state of São Paulo.

methodsA descriptive study using data from the Notifiable Diseases Information System (SINAN) on snakebite accidents between 2010 and 2022. The Getis-Ord Gi* index was applied to identify high- and low-risk clusters.

resultsBothropic accidents predominated (61.5%), affecting men (78.7%), whites (64.7%), adults aged 20-59 years (67.1%), and individuals with low education levels (63.4%). Most accidents occurred in urban areas (55.7%), while deaths were more frequent in rural areas (68.1%), with longer treatment delays. Incidence remained stable, increasing during hot and rainy periods. Many cases were not autochthonous, and vegetation type influenced accident patterns: Bothrops in dense and humid areas, Crotalus in dry and open regions, and Micrurus in both. Spatial analysis highlighted areas of higher and lower risk, varying by accident type.

conclusionsIdentifying the most affected population, seasonality, and high-risk areas provides essential support for preventive actions and effective management. The findings can guide efforts towards vulnerable populations, anticipate preventive strategies during high-incidence periods, and optimize resources, such as professional training and antivenom serum distribution in high-risk regions.

Indexed as

Snake BitesAdolescentAdultAgedAge DistributionAnimalsBrazilChildChild, PreschoolFemaleHumansIncidenceInfantMaleMiddle AgedRisk Factors

Identifiers

PMID40465875
PMCPMC12129242

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.