Evidence map›Paper›PMID 40197897›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2025

Temporal and spatial trends of accidents with venomous animal in Brazil before and during the COVID-19 pandemic: a population-based ecological study.

Thayane Santos Siqueira, Lívia Silveira Silva, Jamile Rodrigues Cosme de Holanda, Sálvia Cely Cerqueira Carvalho, Adriano José Dos Santos, Alexrangel Henrique Cruz Santos, José Rodrigo Santos Silva, Victor Santana Santos

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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Thayane Santos SiqueiraUniversidade Federal de Sergipe, Postgraduate Program Stricto Sensu in Health Sciences - Aracaju (SE), Brazil.ORCID http://orcid.org/0000-0001-8370-0544
Lívia Silveira SilvaUniversidade Federal de Sergipe, Postgraduate Program Stricto Sensu in Health Sciences - Aracaju (SE), Brazil.ORCID http://orcid.org/0000-0002-1970-3502
Jamile Rodrigues Cosme de HolandaUniversidade Federal de Sergipe, Postgraduate Program Stricto Sensu in Health Sciences - Aracaju (SE), Brazil.ORCID http://orcid.org/0000-0002-9558-4496
Sálvia Cely Cerqueira CarvalhoUniversidade Federal de Sergipe, Postgraduate Program Stricto Sensu in Health Sciences - Aracaju (SE), Brazil.ORCID http://orcid.org/0009-0003-1224-9057
Adriano José Dos SantosInstituto Osvaldo Cruz, Postgraduate Program Stricto Sensu in Vector Malacology - Rio de Janeiro (RJ), Brazil.ORCID http://orcid.org/0000-0002-4619-5232
Alexrangel Henrique Cruz SantosUniversidade Federal de Sergipe, Postgraduate Program Stricto Sensu in Parasitic Biology - São Cristóvão (SE), Brazil.ORCID http://orcid.org/0000-0002-3667-5275
José Rodrigo Santos SilvaUniversidade Federal de Sergipe, Postgraduate Program Stricto Sensu in Parasitic Biology - São Cristóvão (SE), Brazil.ORCID http://orcid.org/0000-0002-1918-7122
Victor Santana SantosUniversidade Federal de Sergipe, Postgraduate Program Stricto Sensu in Health Sciences - Aracaju (SE), Brazil.ORCID http://orcid.org/0000-0003-0194-7397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to analyze the temporal and spatial trends of accidents involving venomous animals in Brazil during the pre- and COVID-19 pandemic periods.

methodsWe conducted a population-based ecological study using comprehensive data from the Notifiable Diseases Information System, covering all accidents involving venomous animals in Brazil from January 2013 to December 2022. We did a temporospatial analysis to compare the incidence rates of accidents involving venomous animals per Brazilian municipality in the pre-pandemic period (January 2013 to February 2020) and the pandemic period (March 2020 to December 2022). To analyze the trend, the seasonal-trend model was used based on the classic additive decomposition model. For spatial distribution analysis, the Global Moran's Index was used.

resultsA total of 2,202,842 cases of accidents involving venomous animals were recorded. Brazil showed an increasing trend from 2017 to 2019 (annual percentage change [APC]: 0.98, p<0.001) and a stable trend from 2020 to 2022 (APC: 0.42, p<0.080). The North (APC: 0.19, p<0.330), South (APC: 0.04, p<0.953), and Southeast (APC: 0.26, p<0.312) regions presented a stable trend from 2020 to 2022. Spatial dependence of smoothed rates was observed in both the pre-pandemic (Moran's I: 0.47; p=0.000) and COVID-19 pandemic periods (Moran's I: 0.50; p=0.000).

conclusionThere was a stable trend in accidents involving venomous animals from 2020 to 2022 in Brazil. The spatial distribution of cases was heterogeneous for both periods studied.

Indexed as

Bites and StingsCOVID-19Snake BitesAnimalsBrazilHumansIncidencePandemicsSpatio-Temporal AnalysisTime Factors

Identifiers

PMID40197897
PMCPMC11980821

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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.