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Estimating the efficacy of symptom-based screening for COVID-19
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...
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Published in: | NPJ digital medicine 2020-07, Vol.3 (1), p.95-95, Article 95 |
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creator | Callahan, Alison Steinberg, Ethan Fries, Jason A. Gombar, Saurabh Patel, Birju Corbin, Conor K. Shah, Nigam H. |
description | 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. |
doi_str_mv | 10.1038/s41746-020-0300-0 |
format | article |
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subjects | 692/308/174 692/699/255/2514 Biomedicine Biotechnology Brief Communication Coronaviruses COVID-19 Digital technology Health informatics Medical diagnosis Medicine Medicine & Public Health Severe acute respiratory syndrome coronavirus 2 |
title | Estimating the efficacy of symptom-based screening for COVID-19 |
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