Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil

Oliveira, Silvano Barbosa de; Ganem, Fabiana; Araújo, Wildo Navegantes de; Casabona, Jordi; Sanchez, Mauro Niskier; Croda, Julio

Full metadata record

DC Field	Value	Language
dc.contributor.author	Oliveira, Silvano Barbosa de	-
dc.contributor.author	Ganem, Fabiana	-
dc.contributor.author	Araújo, Wildo Navegantes de	-
dc.contributor.author	Casabona, Jordi	-
dc.contributor.author	Sanchez, Mauro Niskier	-
dc.contributor.author	Croda, Julio	-
dc.date.accessioned	2020-11-23T16:41:24Z	-
dc.date.available	2020-11-23T16:41:24Z	-
dc.date.issued	2020	-
dc.identifier.citation	OLIVEIRA, 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.uri	https://repositorio.unb.br/handle/10482/39652	-
dc.language.iso	Inglês	pt_BR
dc.publisher	Sociedade Brasileira de Medicina Tropical - SBMT	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.title	Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Covid-19	pt_BR
dc.subject.keyword	Infecções respiratórias	pt_BR
dc.subject.keyword	Teste de laboratório	pt_BR
dc.identifier.doi	https://doi.org/10.1590/0037-8682-0528-2020	pt_BR
dc.description.abstract1	INTRODUCTION: 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.orcid	http://orcid.org/0000-0002-6665-6825	pt_BR
dc.description.unidade	Faculdade de Ciências da Saúde (FS)	-
dc.description.unidade	Departamento de Saúde Coletiva (FS DSC)	-
Appears in Collections:	Artigos publicados em periódicos e afins UnB - Covid-19