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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Nature Portfolio
2020
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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) |
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Computer applications to medicine. Medical informatics R858-859.7 |
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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 |
work_keys_str_mv |
AT alisoncallahan estimatingtheefficacyofsymptombasedscreeningforcovid19 AT ethansteinberg estimatingtheefficacyofsymptombasedscreeningforcovid19 AT jasonafries estimatingtheefficacyofsymptombasedscreeningforcovid19 AT saurabhgombar estimatingtheefficacyofsymptombasedscreeningforcovid19 AT birjupatel estimatingtheefficacyofsymptombasedscreeningforcovid19 AT conorkcorbin estimatingtheefficacyofsymptombasedscreeningforcovid19 AT nigamhshah estimatingtheefficacyofsymptombasedscreeningforcovid19 |
_version_ |
1718377974525329408 |