Quantifying the Influence of Climatic Variables on the Incidence of Diseases in Salvador-BA

In recent years, climate change and its impacts on human health have been the subject of intense discussions in the scientific literature worldwide. Although there is evidence relating climate variations to the occurrence of some pathologies, identification of diseases mostly due to fluctuations in climate variables over time, is still a gap to be filled. In this study, we measured the association between the variables: precipitation, air temperature, relative humidity and radiation and the incidence of the following diseases: dengue, viral hepatitis, leptospirosis, malaria, meningitis, hepatitis and tuberculosis in Salvador-BA through the cross-correlation coefficient and Granger’s causality test. Results found indicated the existence of a cross-correlation in large temporal and causality between the time series analyzed.

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Publication Details

Journal
Fluctuation and Noise Letters
Published
2025-02-04
DOI
https://doi.org/10.1142/s0219477525500294
Primary Topic
Climate Change and Health Impacts
Type
article
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article

Quantifying the Influence of Climatic Variables on the Incidence of Diseases in Salvador-BA

Florêncio Mendes Oliveira Filho, Everaldo Freitas Guedes
Fluctuation and Noise Letters
Climate Change and Health Impacts
article

Quantifying the Influence of Climatic Variables on the Incidence of Diseases in Salvador-BA

Florêncio Mendes Oliveira Filho, Everaldo Freitas Guedes
article en

Abstract

In recent years, climate change and its impacts on human health have been the subject of intense discussions in the scientific literature worldwide. Although there is evidence relating climate variations to the occurrence of some pathologies, identification of diseases mostly due to fluctuations in climate variables over time, is still a gap to be filled. In this study, we measured the association between the variables: precipitation, air temperature, relative humidity and radiation and the incidence of the following diseases: dengue, viral hepatitis, leptospirosis, malaria, meningitis, hepatitis and tuberculosis in Salvador-BA through the cross-correlation coefficient and Granger’s causality test. Results found indicated the existence of a cross-correlation in large temporal and causality between the time series analyzed.

Fluctuation and Noise LettersVol. 24(03)
Universidade Federal da Bahia (BR), Universidade do Estado da Bahia (BR), Serviço Nacional de Aprendizagem Industrial (BR), Fundação Oswaldo Cruz (BR)
Climate action
Openalex Percentile: Top 98%
Climate Change and Health Impacts
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