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Modeling of Human Rabies Cases in Brazil in Different Future Global Warming Scenarios.
Neves, Jessica Milena Moura; Belo, Vinicius Silva; Catita, Cristina Maria Souza; Oliveira, Beatriz Fátima Alves de; Horta, Marco Aurelio Pereira.
Afiliación
  • Neves JMM; Biosafety Level 3 Facility, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro 21040-900, Brazil.
  • Belo VS; Laboratory of Parasitology, Federal University of São João del-Rei, Divinopolis 36307-352, Brazil.
  • Catita CMS; Department of Geographic Engineering, Geophysics and Energy, University of Lisbon, Lisbon 1649-004, Portugal.
  • Oliveira BFA; Oswaldo Cruz Institute, Fiocruz, National School of Public Health and Regional Office of Piaui, Teresina 64001-350, Brazil.
  • Horta MAP; Biosafety Level 3 Facility, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro 21040-900, Brazil.
Int J Environ Res Public Health ; 21(2)2024 Feb 11.
Article en En | MEDLINE | ID: mdl-38397701
ABSTRACT
Bat species have been observed to have the potential to expand their distribution in response to climate change, thereby influencing shifts in the spatial distribution and population dynamics of human rabies cases. In this study, we applied an ensemble niche modeling approach to project climatic suitability under different future global warming scenarios for human rabies cases in Brazil, and assessed the impact on the probability of emergence of new cases. We obtained notification records of human rabies cases in all Brazilian cities from January 2001 to August 2023, as reported by the State and Municipal Health Departments. The current and future climate data were sourced from a digital repository on the WorldClim website. The future bioclimatic variables provided were downscaled climate projections from CMIP6 (a global model ensemble) and extracted from the regionalized climate model HadGEM3-GC31-LL for three future socioeconomic scenarios over four periods (2021-2100). Seven statistical algorithms (MAXENT, MARS, RF, FDA, CTA, GAM, and GLM) were selected for modeling human rabies. Temperature seasonality was the bioclimatic variable with the highest relative contribution to both current and future consensus models. Future scenario modeling for human rabies indicated a trend of changes in the areas of occurrence, maintaining the current pace of global warming, population growth, socioeconomic instability, and the loss of natural areas. In Brazil, there are areas with a higher likelihood of climatic factors contributing to the emergence of cases. When assessing future scenarios, a change in the local climatic suitability is observed that may lead to a reduction or increase in cases, depending on the region.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Rabia / Calentamiento Global Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: Int J Environ Res Public Health Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Rabia / Calentamiento Global Límite: Humans País/Región como asunto: America do sul / Brasil Idioma: En Revista: Int J Environ Res Public Health Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza