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Geospatial technologies for targeting priority areas on surveillance and response of visceral leishmaniasis in São Paulo state, Brazil

Embracing a One Health integrative approach

Datos Bibliográficos

ID19552016
AutoresRodrigo Sala Ferro (0000-0002-3126-3685, Universidade do Oeste Paulista), Elivelton S Fonseca (Universidade do Oeste Paulista), Felipe L Semensati (Universidade Estadual Paulista (Unesp)), Edilson Ferreira Flores (0000-0001-7385-6705, Universidade Estadual Paulista (Unesp)), Rogério Giufrida (Universidade do Oeste Paulista), Roberto Mitsuyoshi Hiramoto (0000-0002-7404-1505, Instituto Adolfo Lutz), Osias Rangel (Oklahoma State Department of Health), Silvia Silva de Oliveira Altieri (Oklahoma State Department of Health), Rosana Leal Do Prado (0000-0002-5897-2799, Universidade do Oeste Paulista), Luiz Euribel Prestes-Carneiro (0000-0002-4577-1525, Universidade do Oeste Paulista)
Año2025
Volumen15
Páginas04200-04200
Fecha de publicación2025-07-25
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Global Health (JOURNAL)
Identificadores de la revistaISSN: 2047-2978 • E-ISSN: 2047-2986
EditorialInternational Society of Global Health (PUBLISHER • GB)
DOI10.7189/jogh.15.04200
PMID40708344
OpenAlexW4412654829
IdiomaEN
Referencias citadas28

Background: In 2023, Brazil accounted for 93.5% of the reported cases of visceral leishmaniasis (VL) in Latin America. This study, employing a One Health approach aims: i) to analyse the spatial distribution of VL using integrated geospatial methods, ii) the temporal trend of VL to assess the impact of the COVID-19 pandemic on the occurrence of cases, and iii) identify spatial clusters of municipalities with heightened environmental vulnerability to prioritise surveillance and control efforts for VL in São Paulo state, Brazil. Methods: Archival databases from 1999 to 2022 were analysed. High-risk clusters of human VL (HVL) were identified using the Local Moran Index. Incidence and mortality rates were modelled with the Generalized Additive Model. Data on the distribution of Lutzomyia longipalpis vectors were obtained from São Paulo's Supervision in Control of Endemics, while the spatial distribution of canine visceral leishmaniasis (CVL) was based on survey data from the Adolfo Lutz Institute. Environmental factors, including normalized difference vegetation index (NDVI), land surface temperature (LST), and geomorphology, were derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data and Environmental Information Database (BDiA) platform. Results: Lutzomyia longipalpis was detected in 32.4% of municipalities, CVL in 29.0%, and HVL in 18.0%. The western region, characterised by plateau geomorphology, elevated deforestation, and higher temperatures, accounted for 30.6% of high-risk clusters, underscoring its priority status for control and surveillance. While VL cases remain stable during the COVID-19 pandemic, lethality rates increased. Conclusions: Addressing VL and reducing lethality rates will pose a significant challenge for public health authorities in São Paulo in the coming years

Biology · Cartography · Climate change · Ecological study · Environmental health · Environmental protection · Geography · Geospatial analysis · Leishmaniasis · Moderate-resolution imaging spectroradiometer · Normalized Difference Vegetation Index · Population · Public health · Visceral leishmaniasis · Medicine · Research on Leishmaniasis Studies · Scientific Research and Studies · Zoonotic diseases and public health · Ecology · Immunology

  • The transmission of visceral leishmaniasis in the municipality of Guarujá, on the Coast of São Paulo state, Brazil

    Open Access•Cláudio Casanova, Gabriela Motoie et al.•Revista de Saúde Pública•2022

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