Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil
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...
Published in: | Revista da Sociedade Brasileira de Medicina Tropical |
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2020
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Online Access: | https://doi.org/10.1590/0037-8682-0528-2020 https://doaj.org/article/bf4d139745ca45d5a932bd4adff80b43 |
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ftdoajarticles:oai:doaj.org/article:bf4d139745ca45d5a932bd4adff80b43 2023-05-15T15:02:34+02:00 Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil Silvano Barbosa de Oliveira Fabiana Ganem Wildo Navegantes de Araújo Jordi Casabona Mauro Niskier Sanchez Julio Croda 2020-09-01T00:00:00Z https://doi.org/10.1590/0037-8682-0528-2020 https://doaj.org/article/bf4d139745ca45d5a932bd4adff80b43 EN eng Sociedade Brasileira de Medicina Tropical (SBMT) http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100659&tlng=en https://doaj.org/toc/1678-9849 1678-9849 doi:10.1590/0037-8682-0528-2020 https://doaj.org/article/bf4d139745ca45d5a932bd4adff80b43 Revista da Sociedade Brasileira de Medicina Tropical, Vol 53 (2020) COVID-19 SARI Laboratory test Signs and symptoms Imputation method Arctic medicine. Tropical medicine RC955-962 article 2020 ftdoajarticles https://doi.org/10.1590/0037-8682-0528-2020 2022-12-31T02:53:18Z 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Revista da Sociedade Brasileira de Medicina Tropical 53 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
COVID-19 SARI Laboratory test Signs and symptoms Imputation method Arctic medicine. Tropical medicine RC955-962 |
spellingShingle |
COVID-19 SARI Laboratory test Signs and symptoms Imputation method Arctic medicine. Tropical medicine RC955-962 Silvano Barbosa de Oliveira Fabiana Ganem Wildo Navegantes de Araújo Jordi Casabona Mauro Niskier Sanchez Julio Croda Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil |
topic_facet |
COVID-19 SARI Laboratory test Signs and symptoms Imputation method Arctic medicine. Tropical medicine RC955-962 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Silvano Barbosa de Oliveira Fabiana Ganem Wildo Navegantes de Araújo Jordi Casabona Mauro Niskier Sanchez Julio Croda |
author_facet |
Silvano Barbosa de Oliveira Fabiana Ganem Wildo Navegantes de Araújo Jordi Casabona Mauro Niskier Sanchez Julio Croda |
author_sort |
Silvano Barbosa de Oliveira |
title |
Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil |
title_short |
Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil |
title_full |
Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil |
title_fullStr |
Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil |
title_full_unstemmed |
Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil |
title_sort |
imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in brazil |
publisher |
Sociedade Brasileira de Medicina Tropical (SBMT) |
publishDate |
2020 |
url |
https://doi.org/10.1590/0037-8682-0528-2020 https://doaj.org/article/bf4d139745ca45d5a932bd4adff80b43 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Revista da Sociedade Brasileira de Medicina Tropical, Vol 53 (2020) |
op_relation |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100659&tlng=en https://doaj.org/toc/1678-9849 1678-9849 doi:10.1590/0037-8682-0528-2020 https://doaj.org/article/bf4d139745ca45d5a932bd4adff80b43 |
op_doi |
https://doi.org/10.1590/0037-8682-0528-2020 |
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Revista da Sociedade Brasileira de Medicina Tropical |
container_volume |
53 |
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