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COVID-19: Do weather conditions influence the transmission of the coronavirus (SARS-CoV-2) in Brasília and Manaus, Brazil?

dc.contributor.authorFaiad, Cristiane
dc.contributor.authorQuinteiro, Pedro Marques
dc.contributor.authorJunior, Francisco Coelho
dc.date.accessioned2021-05-20T16:48:02Z
dc.date.available2021-05-20T16:48:02Z
dc.date.issued2021
dc.description.abstractThe global outbreak of coronavirus SARS-CoV-2 (COVID-19) disease is affecting every part of human lives. Several researchers investigated to understand how temperature, humidity and air pollution had an influence on COVID-19 transmission. Transmission of COVID-19 due to temperature and humidity is a pertinent question. There is a lack of study of Covid-19 in tropical climate countries. This study aims to analyze the correlation between weather and Covid-19 pandemic in Brasília and Manaus, two states of Brazil. The research topic is important to know how the climate affects or predisposes the spread of COVID-19. This knowledge will provide elements to decision-makers regarding health and public health standards and decisions. This study employed a secondary data analysis of surveillance data of Covid-19 from the Ministry of Health of Brazil and weather from the National Institute of Meteorology of Brazil. These are Brazilian public organizations that, on a daily basis, record this information on a systematic basis of dates. They are central federal organizations, responsible for data analysis and public policy planning to combat Covid-19. The data are reliables and obtained from reliable government sources. We systematically record all information for 51 days, during a period of high disease growth in the country. The components of weather include low temperature (°C), high temperature (°C), temperature average (°C), humidity (%), and amount of rainfall (mm). Pearson-rank correlation test showed that high temperature (r=.643; p<.001), low temperature (r=.640; p<.001) and humidity (r=.248; p<.005) were significantly correlated with deaths caused by Covid-19 pandemic used for data analysis. Social isolation rate (β = -.254; p<.001) and daily record of new cases (β = .332; p<.001), with adjusted R-squared of .623, were the predictors of deaths acummuled by Covid-19. The finding serves as an input to reduce the incidence rate of Covid-19 in Brazil. Statistical results show evidence of the relationship between climate elements and COVID-19 indicators, such as the number of deaths, spread of contamination and social isolation rate. The study of dimensions of climate as a seasonal pattern and its relationship to COVID-19 benefits epidemiological surveillance. The more geographic spaces are known, more will help to understand the differences in disease behavior in different places. The results of this research showed that environmental conditions influence the contagion and speed of transmission of Covid-19. Policies that contribute to benefits to health and sustainability need to be planned. The contribution of climate and other factors, such as air pollution, for example, require additional studies. Environmental changes, such as climate change and biodiversity, must also be investigated for their impact on human health. Acting in prevention, including the promotion of socially acceptable behaviors on the part of the population, seems to be the best way to deal with Covid-19.pt_PT
dc.description.abstractResumen: El brote mundial de la enfermedad por SARS- -CoV-2 (COVID-19) está afectando todos los aspectos de la vida humana. Este estudio tiene como objetivo analizar la correlación entre factores del clima y la pandemia de Covid-19 en Brasilia y Manaos, dos estados de Brasil. El tema de investigación es importante para conocer cómo el clima afecta o predispone el contagio por COVID-19. Y aporta elementos a los tomadores de decisiones en cuanto a normas y decisiones sanitarias y de salud pública. Se empleó un análisis de datos secundarios de datos de vigilancia de COVID-19 del Ministerio de Salud de Brasil y el clima del Instituto Nacional de Meteorología de Brasil. Se registró sistemáticamente toda la información durante 51 días, durante un período de alto crecimiento de la enfermedad en el país. Los componentes del clima incluyen baja temperatura (°C), alta temperatura (°C), temperatura promedio (°C), humedad (%) y cantidad de lluvia (mm). La prueba de correlación de rango de Pearson mostró que la temperatura alta (r = .643; p <.001), la temperatura baja (r = .640; p <.001) y la humedad (r = .248; p <.005) se correlacionaron significativamente con muertes causadas por la pandemia de Covid-19 utilizada para el análisis de datos. La tasa de aislamiento social (β = -.254; p <.001) y el registro diario de nuevos casos (β = .332; p <.001), con un R cuadrado ajustado de .623, fueron los predictores de muertes acumuladas por COVID -19.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFaiad, C., Quinteiro, P. M., Junior, Francisco Coelho (2021). COVID-19: Do weather conditions influence the transmission of the coronavirus (SARS-CoV-2) in Brasília and Manaus, Brazil?. Investigaciones Geográficas, 104, 1-15 hrrp//:dx.doi.org/10.14350/rig.60178pt_PT
dc.identifier.doi10.14350/rig.60178pt_PT
dc.identifier.issn01884611
dc.identifier.urihttp://hdl.handle.net/10400.12/8146
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInstituto de Geografiapt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCovid-19pt_PT
dc.subjectCoronaviruspt_PT
dc.subjectTemperaturept_PT
dc.subjectHumiditypt_PT
dc.subjectRainfallpt_PT
dc.subjectBrazilpt_PT
dc.subjectCoronaviruspt_PT
dc.subjectTemperaturapt_PT
dc.subjectHumedadpt_PT
dc.subjectlluviapt_PT
dc.subjectBrasilpt_PT
dc.titleCOVID-19: Do weather conditions influence the transmission of the coronavirus (SARS-CoV-2) in Brasília and Manaus, Brazil?pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceMexicopt_PT
oaire.citation.endPage15pt_PT
oaire.citation.issue104pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInvestigaciones Geográficaspt_PT
person.familyNameFaiad
person.familyNameMarques-Quinteiro
person.familyNameCoelho Junior
person.givenNameCristiane
person.givenNamePedro
person.givenNameFrancisco
person.identifier577942
person.identifier.ciencia-idA51D-B9DC-45AC
person.identifier.orcid0000-0002-8012-8893
person.identifier.orcid0000-0001-9385-8476
person.identifier.orcid0000-0002-1820-5448
person.identifier.ridK-1896-2015
person.identifier.scopus-author-id56440234600
person.identifier.scopus-author-id39961782000
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublicationb45e3070-04af-4eee-8f2a-1bdb600c4307
relation.isAuthorOfPublication.latestForDiscoveryb45e3070-04af-4eee-8f2a-1bdb600c4307

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