Estimating the efficacy of symptom-based screening for COVID-19

Abstract There is substantial interest in using presenting symptoms to prioritize testing for COVID-19 and establish symptom-based surveillance. However, little is currently known about the specificity of COVID-19 symptoms. To assess the feasibility of symptom-based screening for COVID-19, we used d...

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Autores principales: Alison Callahan, Ethan Steinberg, Jason A. Fries, Saurabh Gombar, Birju Patel, Conor K. Corbin, Nigam H. Shah
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/4b6dacc167ee4967afd5c1aa4e12f942
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spelling oai:doaj.org-article:4b6dacc167ee4967afd5c1aa4e12f9422021-12-02T18:30:56ZEstimating the efficacy of symptom-based screening for COVID-1910.1038/s41746-020-0300-02398-6352https://doaj.org/article/4b6dacc167ee4967afd5c1aa4e12f9422020-07-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0300-0https://doaj.org/toc/2398-6352Abstract There is substantial interest in using presenting symptoms to prioritize testing for COVID-19 and establish symptom-based surveillance. However, little is currently known about the specificity of COVID-19 symptoms. To assess the feasibility of symptom-based screening for COVID-19, we used data from tests for common respiratory viruses and SARS-CoV-2 in our health system to measure the ability to correctly classify virus test results based on presenting symptoms. Based on these results, symptom-based screening may not be an effective strategy to identify individuals who should be tested for SARS-CoV-2 infection or to obtain a leading indicator of new COVID-19 cases.Alison CallahanEthan SteinbergJason A. FriesSaurabh GombarBirju PatelConor K. CorbinNigam H. ShahNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-3 (2020)
institution DOAJ
collection DOAJ
language EN
topic Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle Computer applications to medicine. Medical informatics
R858-859.7
Alison Callahan
Ethan Steinberg
Jason A. Fries
Saurabh Gombar
Birju Patel
Conor K. Corbin
Nigam H. Shah
Estimating the efficacy of symptom-based screening for COVID-19
description Abstract There is substantial interest in using presenting symptoms to prioritize testing for COVID-19 and establish symptom-based surveillance. However, little is currently known about the specificity of COVID-19 symptoms. To assess the feasibility of symptom-based screening for COVID-19, we used data from tests for common respiratory viruses and SARS-CoV-2 in our health system to measure the ability to correctly classify virus test results based on presenting symptoms. Based on these results, symptom-based screening may not be an effective strategy to identify individuals who should be tested for SARS-CoV-2 infection or to obtain a leading indicator of new COVID-19 cases.
format article
author Alison Callahan
Ethan Steinberg
Jason A. Fries
Saurabh Gombar
Birju Patel
Conor K. Corbin
Nigam H. Shah
author_facet Alison Callahan
Ethan Steinberg
Jason A. Fries
Saurabh Gombar
Birju Patel
Conor K. Corbin
Nigam H. Shah
author_sort Alison Callahan
title Estimating the efficacy of symptom-based screening for COVID-19
title_short Estimating the efficacy of symptom-based screening for COVID-19
title_full Estimating the efficacy of symptom-based screening for COVID-19
title_fullStr Estimating the efficacy of symptom-based screening for COVID-19
title_full_unstemmed Estimating the efficacy of symptom-based screening for COVID-19
title_sort estimating the efficacy of symptom-based screening for covid-19
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/4b6dacc167ee4967afd5c1aa4e12f942
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