ArticleRevista da Sociedade Brasileira de Medicina Tropical2020
Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil.
Article in Revista da Sociedade Brasileira de Medicina Tropical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Research Development Using REDCap Software.Healthcare informatics research · 2021Article
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6 authors.
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Abstract
introductionThe 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.
methodsThe imputation method was applied for SARI deaths without laboratory information using clinico-epidemiological characteristics.
resultsOf 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.
conclusionsThe 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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