Abstract
AbstractThere 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.
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Computer Science Applications,Medicine (miscellaneous)
Reference21 articles.
1. Goode, L. Facebook and Google survey data may help map Covid-19’s spread. Wired. https://www.wired.com/story/survey-data-facebook-google-map-covid-19-carnegie-mellon/ (2020).
2. Gostic, K., Gomez, A. C., Mummah, R. O., Kucharski, A. J. & Lloyd-Smith, J. O. Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19. Elife 9, e55570, https://doi.org/10.7554/eLife.55570. (2020).
3. Chow, E. J. et al. Symptom screening at illness onset of health care personnel with SARS-CoV-2 infection in King County, Washington. JAMA. https://doi.org/10.1001/jama.2020.6637 (2020).
4. Hoehl, S. et al. Evidence of SARS-CoV-2 infection in returning travelers from Wuhan, China. N. Engl. J. Med. 382, 1278–1280 (2020).
5. Kim, D., Quinn, J., Pinsky, B., Shah, N. H. & Brown, I. Rates of co-infection between SARS-CoV-2 and other respiratory pathogens. JAMA. https://doi.org/10.1001/jama.2020.6266 (2020).
Cited by
63 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献