Find in Library
Search millions of books, articles, and more
Indexed Open Access Databases
Estimating the efficacy of symptom-based screening for COVID-19
oleh: Alison Callahan, Ethan Steinberg, Jason A. Fries, Saurabh Gombar, Birju Patel, Conor K. Corbin, Nigam H. Shah
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-07-01 |
Deskripsi
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.