Evidence map›Paper›PMID 42784625›Full record

ArticlePLoS neglected tropical diseases2026

Persistent spatial hotspots and socioeconomic inequalities of snakebite envenoming in Peru: A nationwide spatiotemporal analysis, 2010-2025.

Malena Grados Vásquez, Juan Carlos Guerra Blas, Anthony Salcedo-Prudencio, Thayane Santos Siqueira, Wuelton Monteiro, John Alexanders Amaya Parra, Flor Ernestina Martinez-Espinosa

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Article in PLoS neglected tropical diseases, 2026. 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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5 · Who and what money

Authors and funding

7 authors.

Malena Grados VásquezDepartment of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0003-0002-6377
Juan Carlos Guerra BlasDivision of Impacts, Adaptation and Vulnerabilities (DIIAV), National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil.
Anthony Salcedo-PrudencioDepartment of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
Thayane Santos SiqueiraHealth Sciences Graduate Program, Federal University of Sergipe, Aracaju, Sergipe, Brazil.
Wuelton MonteiroUniversidade do Estado do Amazonas (UEA), Manaus, Amazonas, Brazil.
John Alexanders Amaya ParraDepartment of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
Flor Ernestina Martinez-EspinosaFundação de Medicina Tropical Dr. Heitor Vieira Dourado (FMT-HVD), Manaus, Amazonas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSnakebite envenoming remains a major neglected tropical disease worldwide, disproportionately affecting rural and socioeconomically vulnerable populations in tropical and subtropical regions. In Peru, snakebite burden is strongly concentrated in Amazonian territories, yet nationwide evidence on its long-term spatial dynamics and socioeconomic determinants remains limited. METHODOLOGY: This study provides the first multiscale spatiotemporal assessment of snakebite envenoming incidence in Peru between 2010 and 2025. National surveillance data were analyzed at departmental and district levels to evaluate temporal trends, spatial clustering, hotspot persistence, ecological suitability, and socioeconomic associations. Spatial autocorrelation was assessed using Global Moran's I and Local Indicators of Spatial Association (LISA), while associations between Human Development Index (HDI) and snakebite envenoming incidence were evaluated across Peruvian macroregions.

findingsA total of 32,942 snakebite envenoming cases were reported during the study period, with more than 60% concentrated in Amazonian departments, particularly Loreto, San Martín, and Ucayali. Snakebite incidence exhibited significant spatial autocorrelation throughout the study period (Moran's I = 0.53-0.61; p < 0.05), revealing a non-random and spatially structured distribution of risk. LISA analyses identified persistent hotspot districts concentrated mainly in the northern and central Peruvian Amazon, forming a stable corridor of elevated incidence over time. Persistent hotspots spatially overlapped with areas of high environmental suitability for medically important venomous snakes, particularly Bothrops atrox, and elevated potential species richness. Socioeconomic analyses revealed marked regional heterogeneity, with a significant moderate negative correlation between HDI and snakebite incidence in the Northern Amazon (Spearman's [Formula: see text] = [Formula: see text]; p < 0.001), indicating higher burden in socioeconomically vulnerable districts.

conclusionsThese findings demonstrate that snakebite envenoming in Peru is spatially persistent, ecologically structured, and closely associated with socioeconomic inequalities in Amazonian regions. Identifying persistent high-risk areas may support geographically targeted surveillance, optimized antivenom allocation, and territorially adapted public health interventions.

Indexed as

Disease HotspotSnake BitesAdolescentAdultAnimalsChildChild, PreschoolFemaleHumansIncidenceInfantMaleMiddle AgedPeruSocioeconomic Disparities in HealthSocioeconomic Factors

Identifiers

PMID42784625
PMCPMC13623120

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