The relationship between (sub)tropical climates and the incidence of COVID-19

Prata, David Nadler; Rodrigues, Waldecy; Bermejo, Paulo Henrique de Souza; Moreira, Marina Figueiredo; Camargo, Wainesten; Lisboa, Marcelo; Reis, Geovane Rossone; Araújo, Humberto Xavier de

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Campo DC	Valor	Idioma
dc.contributor.author	Prata, David Nadler	-
dc.contributor.author	Rodrigues, Waldecy	-
dc.contributor.author	Bermejo, Paulo Henrique de Souza	-
dc.contributor.author	Moreira, Marina Figueiredo	-
dc.contributor.author	Camargo, Wainesten	-
dc.contributor.author	Lisboa, Marcelo	-
dc.contributor.author	Reis, Geovane Rossone	-
dc.contributor.author	Araújo, Humberto Xavier de	-
dc.date.accessioned	2021-08-10T19:20:02Z	-
dc.date.available	2021-08-10T19:20:02Z	-
dc.date.issued	2021-02-05	-
dc.identifier.citation	Prata, David et al. The relationship between (sub)tropical climates and the incidence of COVID-19. PeerJ, v. 9, e10655, 2021. DOI: https://doi.org/10.7717/peerj.10655. Disponível em: https://peerj.com/articles/10655/. Acesso em: 10 ago. 2021.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/41614	-
dc.language.iso	Inglês	pt_BR
dc.publisher	PeerJ	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.title	The relationship between (sub)tropical climates and the incidence of COVID-19	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Temperatura e umidade tropicais	pt_BR
dc.subject.keyword	Covid-19	pt_BR
dc.subject.keyword	Modelo aditivo generalizado	pt_BR
dc.rights.license	Copyright 2021 Prata et al. Distributed under Creative Commons CC-BY 4.0.	pt_BR
dc.identifier.doi	https://doi.org/10.7717/peerj.10655	pt_BR
dc.description.abstract1	This work explores (non)linear associations between relative humidity and temperature and the incidence of COVID-19 among 27 Brazilian state capital cities in (sub)tropical climates, measured daily from summer through winter. Previous works analyses have shown that SARS-CoV-2, the virus that causes COVID-19, finds stability by striking a certain balance between relative humidity and temperature, which indicates the possibility of surface contact transmission. The question remains whether seasonal changes associated with climatic fluctuations might actively influence virus survival. Correlations between climatic variables and infectivity rates of SARS-CoV-2 were applied by the use of a Generalized Additive Model (GAM) and the Locally Estimated Scatterplot Smoothing LOESS nonparametric model. Tropical climates allow for more frequent outdoor human interaction, making such areas ideal for studies on the natural transmission of the virus. Outcomes revealed an inverse relationship between subtropical and tropical climates for the spread of the novel coronavirus and temperature, suggesting a sensitivity behavior to climates zones. Each 1 °C rise of the daily temperature mean correlated with a −11.76% (t = −5.71, p < 0.0001) decrease and a 5.66% (t = 5.68, p < 0.0001) increase in the incidence of COVID-19 for subtropical and tropical climates, respectively.	pt_BR
dc.description.unidade	Faculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE)	pt_BR
dc.description.unidade	Departamento de Administração (FACE ADM)	pt_BR
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