Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil
de Oliveira, Silvano Barbosa (Universidade de Brasília)
Ganem dos Santos, Fabiana Sherine (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i Medicina Preventiva i Salut Pública)
de Araújo, Wildo Navegantes (Universidade de Brasília)
Casabona-Barbarà, Jordi (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i Medicina Preventiva i Salut Pública)
Sanchez, Mauro Niskier (Universidade de Brasília)
Croda, Julio (Fundação Oswaldo Cruz (Brasil))

Data:	2020
Resum:	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. The imputation method was applied for SARI deaths without laboratory information using clinico-epidemiological characteristics. 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. The imputation method was a useful and robust solution (sensitivity and positive predictive value of 98%) for missing values through clinical & epidemiological characteristics.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	COVID-19 ; SARI ; Laboratory test ; Signs and symptoms ; Imputation method
Publicat a:	Revista da Sociedade Brasileira de Medicina Tropical, Vol. 53 (september 2020) , ISSN 1678-9849

DOI: 10.1590/0037-8682-0528-2020
PMID: 32935787

6 p, 945.5 KB

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