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Climate change impacts on dengue transmission areas in Espírito Santo state, Brazil.
Barcellos Madeira Rosa, Yasmim; Tamanini Silva Moschen, Henrique; Loss, Ana Carolina; Cardoso da Silva, Theresa Cristina; Brioschi Dos Santos, Ana Paula; Caetano Pimenta, Bruna; Nunes Zordan, Julia Sthefany; Cerutti Junior, Crispim; Espinosa Barbosa Miranda, Angelica; Drumond Louro, Iuri; Dummer Meira, Débora; Vicente, Creuza Rachel.
Afiliação
  • Barcellos Madeira Rosa Y; School of Biology, Center for Human and Natural Sciences, Federal University of Espírito Santo, Fernando Ferrari Avenue, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil.
  • Tamanini Silva Moschen H; School of Biology, Center for Human and Natural Sciences, Federal University of Espírito Santo, Fernando Ferrari Avenue, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil.
  • Loss AC; Graduate Program in Molecular Biology, Institute of Biological Sciences, University of Brasília, Asa Norte, Brasília, Federal District, 70910-900, Brazil.
  • Cardoso da Silva TC; Graduate Program in Biological Sciences, Center for Human and Natural Sciences, Federal University of Espírito Santo, Fernando Ferrari Avenue, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil.
  • Brioschi Dos Santos AP; Graduate Program in Collective Health, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468, Bonfim, Vitória, Espírito Santo, 29047-105, Brazil.
  • Caetano Pimenta B; Surveillance Sector, Health Department of Espírito Santo State, Marechal Mascarenhas de Moraes Avenue, 2025, Bento Ferreira, Vitória, Espírito Santo, 29052-121, Brazil.
  • Nunes Zordan JS; Graduate Program in Collective Health, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468, Bonfim, Vitória, Espírito Santo, 29047-105, Brazil.
  • Cerutti Junior C; Surveillance Sector, Health Department of Espírito Santo State, Marechal Mascarenhas de Moraes Avenue, 2025, Bento Ferreira, Vitória, Espírito Santo, 29052-121, Brazil.
  • Espinosa Barbosa Miranda A; School of Biology, Center for Human and Natural Sciences, Federal University of Espírito Santo, Fernando Ferrari Avenue, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil.
  • Drumond Louro I; School of Biology, Center for Human and Natural Sciences, Federal University of Espírito Santo, Fernando Ferrari Avenue, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil.
  • Dummer Meira D; Graduate Program in Infectious Diseases, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468, Bonfim, Vitória, Espírito Santo, 29047-105, Brazil.
  • Vicente CR; Department of Social Medicine, Health Science Center, Federal University of Espírito Santo, Marechal Campos Avenue, 1468, Bonfim, Vitória, Espírito Santo, 29047-105, Brazil.
Oxf Open Immunol ; 5(1): iqae011, 2024.
Article em En | MEDLINE | ID: mdl-39279888
ABSTRACT
Espírito Santo state, in Brazil, is a dengue-endemic region predicted to suffer from an increase in temperature and drought due to climate change, which could affect the areas with active dengue virus transmission. The study objective was modeling climatic factors and climate change effects in zones suitable for dengue virus transmission in Espírito Santo state, Brazil. Data on dengue reports from 2022 were used to determine climatic variables related to spatial distribution. The climate change projections were generated for the 2030s, 2050s, 2070s, and 2090s for three distinct Shared Socioeconomic Pathways SSP1-2.6, SSP2-4.5 and SSP5-8.5. A maximum entropy algorithm was used to construct the three models and projections, and the results were used to calculate the ensemble mean. Isothermality, the maximum temperature of the warmest month, precipitation of the wettest month, precipitation of the warmest quarter, and annual precipitation impacted the model. Projections indicated a change in areas suitable for dengue virus transmission, varying from -30.44% in the 2070s (SSP1-2.6) to +13.07% in the 2070s (SSP5-8.5) compared to 2022. The coastal regions were consistently suitable in all scenarios. Urbanized and highly populated areas were predicted to persist with active dengue transmission in Espírito Santo state, posing challenges for public health response.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: Oxf Open Immunol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Brasil Idioma: En Revista: Oxf Open Immunol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido