Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil
Rev. Soc. Bras. Med. Trop
; 53:e20200528-e20200528, 2020.
Article
in English
| LILACS (Americas) | ID: grc-742610
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.
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Collection:
Databases of international organizations
Database:
LILACS (Americas)
Type of study:
Prognostic study
Country/Region as subject:
South America
/
Brazil
Language:
English
Journal:
Rev. Soc. Bras. Med. Trop
Year:
2020
Document Type:
Article
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