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10.1590/0037-8682-0528-2020 http://scihub22266oqcxt.onion/10.1590/0037-8682-0528-2020 32935787!7491560!32935787     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32935787&cmd=llinks): Failed to open stream: HTTP request failed! 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Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil |pdf=|usr=}}{{32935787}} gab.com Text Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil JO: Rev Soc Bras Med Trop http://www.kidney.de/pget.php?&tw=1&pmid=32935787 #FOAvip 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. Twit Text FOAVip Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil ????Rev Soc Bras Med Trop http://www.kidney.de/pget.php?&tw=1&pmid=32935787 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32935787 #FOAvip English Wikipedia <ref>{{Cite pmid|32935787}}</ref> Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil #MMPMID32935787 Oliveira SB; Ganem F; Araujo WN; Casabona J; Sanchez MN; Croda J Rev Soc Bras Med Trop 2020[]; 53 (ä): e20200528 PMID32935787show ga 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. |*Disease Outbreaks[MESH] |Algorithms[MESH] |Brazil/epidemiology[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH]Imputation method to reduce undetected severe acute respiratory infect(epmc).pdf DeepDyve Pubget Overpricing