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dc.contributor.authorPrata, David-
dc.contributor.authorRodrigues, Waldecy-
dc.contributor.authorBermejo, Paulo Henrique de Souza-
dc.contributor.authorMoreira, Marina-
dc.contributor.authorCamargo, Wainesten-
dc.contributor.authorLisboa, Marcelo-
dc.contributor.authorReis, Geovane Rossone-
dc.contributor.authorAraujo, Humberto Xavier de-
dc.date.accessioned2021-03-18T22:49:05Z-
dc.date.available2021-03-18T22:49:05Z-
dc.date.issued2021-02-05-
dc.identifier.citationPRATA, 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: 18 mar. 2021.pt_BR
dc.identifier.urihttps://repositorio.unb.br/handle/10482/40260-
dc.language.isoInglêspt_BR
dc.publisherPeerJpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleThe relationship between (sub)tropical climates and the incidence of COVID-19pt_BR
dc.typeArtigopt_BR
dc.subject.keywordTemperaturapt_BR
dc.subject.keywordUmidadept_BR
dc.subject.keywordCovid-19 - Brasilpt_BR
dc.subject.keywordModelo Aditivo Generalizadopt_BR
dc.rights.licenseDistributed under Creative Commons CC-BY 4.0pt_BR
dc.identifier.doihttps://doi.org/10.7717/peerj.10655pt_BR
dc.description.abstract1This 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.unidadeFaculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE)pt_BR
dc.description.ppgPrograma de Pós-Graduação em Administração-
Collection(s) :Artigos publicados em periódicos e afins
UnB - Covid-19

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