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dc.contributor.authorOliveira, Silvano Barbosa de-
dc.contributor.authorGanem, Fabiana-
dc.contributor.authorAraújo, Wildo Navegantes de-
dc.contributor.authorCasabona, Jordi-
dc.contributor.authorSanchez, Mauro Niskier-
dc.contributor.authorCroda, Julio-
dc.date.accessioned2020-11-23T16:41:24Z-
dc.date.available2020-11-23T16:41:24Z-
dc.date.issued2020-
dc.identifier.citationOLIVEIRA, Silvano Barbosa de et al. Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil. Revista da Sociedade Brasileira de Medicina Tropical, Uberaba, v. 53, e20200528, 2020. DOI: https://doi.org/10.1590/0037-8682-0528-2020. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100659&lng=en&nrm=iso. Acesso em: 23 nov. 2020. Epub 14-Set-2020.pt_BR
dc.identifier.urihttps://repositorio.unb.br/handle/10482/39652-
dc.language.isoInglêspt_BR
dc.publisherSociedade Brasileira de Medicina Tropical - SBMTpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleImputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazilpt_BR
dc.typeArtigopt_BR
dc.subject.keywordCovid-19pt_BR
dc.subject.keywordInfecções respiratóriaspt_BR
dc.subject.keywordTeste de laboratóriopt_BR
dc.identifier.doihttps://doi.org/10.1590/0037-8682-0528-2020pt_BR
dc.description.abstract1INTRODUCTION: The coronavirus disease (COVD-19) outbreak has overburdened the surveillance of severe acute respiratory infections (SARIs), including the laboratory network. This study was aimed at correcting the absence of laboratory results of reported SARI deaths. METHODS: The imputation method was applied for SARI deaths without laboratory information using clinico-epidemiological characteristics. RESULTS: Of 84,449 SARI deaths, 51% were confirmed with COVID-19 while 3% with other viral respiratory diseases. After the imputation method, 95% of deaths were reclassified as COVID-19 while 5% as other viral respiratory diseases. CONCLUSIONS: The imputation method was a useful and robust solution (sensitivity and positive predictive value of 98%) for missing values through clinical & epidemiological characteristics.pt_BR
dc.identifier.orcidhttp://orcid.org/0000-0002-6665-6825pt_BR
dc.description.unidadeFaculdade de Ciências da Saúde (FS)-
dc.description.unidadeDepartamento de Saúde Coletiva (FS DSC)-
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