Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil
Rev. Soc. Bras. Med. Trop
; 53: e20200528, 2020. tab
Article
em En
| SES-SP, ColecionaSUS, LILACS
| ID: biblio-1136809
Biblioteca responsável:
BR1.1
ABSTRACT
Abstract 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.Palavras-chave
Texto completo:
1
Coleções:
06-national
/
BR
Base de dados:
LILACS
/
SES-SP
/
ColecionaSUS
Assunto principal:
Pneumonia Viral
/
Surtos de Doenças
/
Infecções por Coronavirus
/
Vigilância em Saúde Pública
Tipo de estudo:
Prognostic_studies
Limite:
Humans
País/Região como assunto:
America do sul
/
Brasil
Idioma:
En
Revista:
Rev. Soc. Bras. Med. Trop
Ano de publicação:
2020
Tipo de documento:
Article