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Impact of Climate Change on Human Infectious Diseases: Dengue
Souza, Amaury de; Abreu, Marcel Carvalho; Oliveira-Júnior, José Francisco.
  • Souza, Amaury de; Federal University of Mato Grosso do Sul. Institute of Physics. Campo Grande. BR
  • Abreu, Marcel Carvalho; Federal Rural University of Rio de Janeiro. Department of Environmental Sciences. Seropédica. BR
  • Oliveira-Júnior, José Francisco; Federal University of Alagoas. Institute of Atmospheric Sciences. Maceió. BR
Braz. arch. biol. technol ; 64: e21190502, 2021. tab, graf
Artículo en Inglés | LILACS | ID: biblio-1285558
ABSTRACT
Abstract Climate is considered an important factor in the temporal and spatial distribution of vector-borne diseases. Dengue transmission involves many factors: although it is not yet fully understood, climate is a critical factor as it facilitates risk analysis of epidemics. This study analyzed the effect of seasonal factors and the relationship between climate variables and dengue risk in the municipality of Campo Grande, from 2008 to 2018. Generalized linear models with negative binomial and Poisson distribution were used. The most appropriate model was the one with "minimum temperature" and "precipitation", both lagged by one month, controlled by "year". In this model, a 1°C rise in the minimum temperature of one month led to an increase in dengue cases the following month, while a 10 mm increase in precipitation led to an increase in dengue cases the following month.
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Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Cambio Climático / Dengue / Distribución Temporal Tipo de estudio: Estudio pronóstico Idioma: Inglés Revista: Braz. arch. biol. technol Asunto de la revista: Biologia Año: 2021 Tipo del documento: Artículo País de afiliación: Brasil Institución/País de afiliación: Federal Rural University of Rio de Janeiro/BR / Federal University of Alagoas/BR / Federal University of Mato Grosso do Sul/BR

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Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Cambio Climático / Dengue / Distribución Temporal Tipo de estudio: Estudio pronóstico Idioma: Inglés Revista: Braz. arch. biol. technol Asunto de la revista: Biologia Año: 2021 Tipo del documento: Artículo País de afiliación: Brasil Institución/País de afiliación: Federal Rural University of Rio de Janeiro/BR / Federal University of Alagoas/BR / Federal University of Mato Grosso do Sul/BR