Geoepidemiological Profile of Venomous Animal Incidents in Indigenous and Non-Indigenous Populations in Brazil

This study analyzes venomous animal incidents between 2012 and 2023 using data from the Notifiable Diseases Information System (SINAN), focusing on differences between indigenous and non-indigenous populations. The adopted methodology is cross-sectional and ecological, incorporating descriptive statistical analyses and Moran's spatial autocorrelation to examine geographic patterns and identify prevalence clusters. The results reveal a concentration of notifications in the Southeast region. Among the groups analyzed, the indigenous population exhibited the highest prevalence rate, with 2,654 cases per 100,000 inhabitants, demonstrating significant vulnerability to venomous animal incidents. Indigenous children and adolescents were particularly susceptible in terms of age groups. Regarding causative agents, scorpions led among non-indigenous individuals (57.3%), while snakes were more prevalent among indigenous groups (56.6%). The study underscores the need for public policies and prevention strategies that consider the cultural and environmental specificities of vulnerable populations, emphasizing the importance of educational and public health actions adapted to local realities.

Authors

Publication Details

Journal
Sociedade & natureza
Published
2024-12-12
DOI
https://doi.org/10.14393/sn-v37-2025-73312x
Primary Topic
Venomous Animal Envenomation and Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geoepidemiological Profile of Venomous Animal Incidents in Indigenous and Non-Indigenous Populations in Brazil

Maurício Polidoro, Daniel Canavese de Oliveira, Francisco Mendonça, André Baniwa et al.
Sociedade & natureza
Venomous Animal Envenomation and Studies
article

Geoepidemiological Profile of Venomous Animal Incidents in Indigenous and Non-Indigenous Populations in Brazil

Maurício Polidoro, Daniel Canavese de Oliveira, Francisco Mendonça, André Baniwa, Claudia Tereza Franco, Suliete Gervásio Monteiro
article en

Abstract

This study analyzes venomous animal incidents between 2012 and 2023 using data from the Notifiable Diseases Information System (SINAN), focusing on differences between indigenous and non-indigenous populations. The adopted methodology is cross-sectional and ecological, incorporating descriptive statistical analyses and Moran's spatial autocorrelation to examine geographic patterns and identify prevalence clusters. The results reveal a concentration of notifications in the Southeast region. Among the groups analyzed, the indigenous population exhibited the highest prevalence rate, with 2,654 cases per 100,000 inhabitants, demonstrating significant vulnerability to venomous animal incidents. Indigenous children and adolescents were particularly susceptible in terms of age groups. Regarding causative agents, scorpions led among non-indigenous individuals (57.3%), while snakes were more prevalent among indigenous groups (56.6%). The study underscores the need for public policies and prevention strategies that consider the cultural and environmental specificities of vulnerable populations, emphasizing the importance of educational and public health actions adapted to local realities.

Sociedade & natureza
Governo Brasil
Openalex Percentile: Top 72%
Venomous Animal Envenomation and Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Geoepidemiological Profile of Venomous Animal Incidents in Indigenous and Non-Indigenous Populations in Brazil — Maurício Polidoro, Daniel Canavese de Oliveira, et al. · Sociedade & natureza (2024) | TGRS Research Map | TGRS