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Social distancing measures could have reduced estimated deaths related to COVID-19 in Brazil

dc.contributor.authorValenti, Vitor E. [UNESP]
dc.contributor.authorde Lemos Menezes, Pedro
dc.contributor.authorde Abreu, Ana Carolina Gonçalves
dc.contributor.authorVieira, Gustavo Nakamura Alves [UNESP]
dc.contributor.authorGarner, David M.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionAL
dc.contributor.institutionMedical School of Santa Maria
dc.contributor.institutionOxford Brookes University
dc.date.accessioned2020-12-12T01:34:23Z
dc.date.available2020-12-12T01:34:23Z
dc.date.issued2020-01-01
dc.description.abstractSocial distancing was planned as a preventive measure to control the extensive spread of COVID-19. COVID-19-related deaths in Brazil were analyzed during the period of social distancing measures. Mortality data for COVID-19 was obtained from the Worldometer website (www.worldometer.info). Deaths were estimated up to the 31st day after the occurrence of the 5th COVID-19-related death in Brazil. Social distance was measured using Google's community mobility reports (https:// www.google.com/covid19/mobility/). The Brazilian epidemic curves were interconnected, and mathematical models were evaluated to fit the mortality estimation curves. The optimistic model was defined in the opening period of social distancing and, therefore, in the lower mobility (40-60%). The realistic model was calculated according to relaxed social distance measures (<40%) and the pessimistic model was calculated based on the transmission rate between 2-3. Thus, the equations of the mathematical models provided the outcomes for the date of June 9, 2020, as follows: realistic model with 40,623 deaths, pessimistic model with 64,310 deaths and the optimistic model with a projection of 31,384 deaths. As a result of these analyzes, on May 24, 2020, there were a total of 22,965 deaths related to COVID-19, and those deaths included within the proposed mathematical models were 17,452 for the optimistic model, 22,623 for the realistic model and 32,825 for the pessimistic model. Thus, it is concluded that social distancing measures promoted by the Brazilian public managers contributes to the reduction in approximately ten thousand deaths related to COVID-19 in the current pandemic scenario.en
dc.description.affiliationAutonomic Nervous System Center (CESNA) São Paulo State University UNESP
dc.description.affiliationUniversity of Health Sciences of Alagoas and CESMAC University Center AL
dc.description.affiliationMedical School of Santa Maria
dc.description.affiliationChemical Institute São Paulo State University UNESP
dc.description.affiliationCardiorespiratory Research Group Department of Biological and Medical Sciences Faculty of Health and Life Sciences Oxford Brookes University, Headington Campus, Gipsy Lane
dc.description.affiliationUnespAutonomic Nervous System Center (CESNA) São Paulo State University UNESP
dc.description.affiliationUnespChemical Institute São Paulo State University UNESP
dc.format.extent164-169
dc.identifierhttp://dx.doi.org/10.7322/JHGD.V30.10360
dc.identifier.citationJournal of Human Growth and Development, v. 30, n. 2, p. 164-169, 2020.
dc.identifier.doi10.7322/JHGD.V30.10360
dc.identifier.issn2175-3598
dc.identifier.issn0104-1282
dc.identifier.scopus2-s2.0-85089208983
dc.identifier.urihttp://hdl.handle.net/11449/199235
dc.language.isoeng
dc.relation.ispartofJournal of Human Growth and Development
dc.sourceScopus
dc.subjectBeta-coronavirus
dc.subjectCenters for disease control and prevention (U.S.A.)
dc.subjectCoronavirus
dc.subjectCoronavirus infections
dc.subjectDeath
dc.subjectSARS virus
dc.titleSocial distancing measures could have reduced estimated deaths related to COVID-19 in Brazilen
dc.typeArtigopt
dspace.entity.typePublication
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relation.isOrgUnitOfPublication.latestForDiscoverybc74a1ce-4c4c-4dad-8378-83962d76c4fd
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Filosofia e Ciências, Maríliapt
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Química, Araraquarapt

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