Wearable sensor data and self-reported symptoms for COVID-19 detection

Author:

Quer GiorgioORCID,Radin Jennifer M.ORCID,Gadaleta MatteoORCID,Baca-Motes Katie,Ariniello LaurenORCID,Ramos Edward,Kheterpal VikORCID,Topol Eric J.ORCID,Steinhubl Steven R.ORCID

Funder

U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference35 articles.

1. Menni, C. et al. Real-time tracking of self-reported symptoms toÿ predict potential COVID-19.Nat. Med 26, 1037–1040 (2020).

2. Oran, D. P. & Topol, E. J. Prevalence of asymptomatic SARS-CoV-2 infection. Ann. Intern. Med. https://doi.org/10.7326/M20-3012 (2020).

3. New COVID-19 Test Data (Color Genomics, 2020); https://www.color.com/new-covid-19-test-data-majority-of-people-who-test-positive-for-covid-19-have-mild-symptoms-or-are-asymptomatic

4. Richardson, S. et al. Presenting characteristics, comorbidities and outcomes among 5,700 patients hospitalized with COVID-19 in the New York City area.JAMA 323, 2052–2059 (2020).

5. Vogels, E. A. About One-in-Five Americans Use a Smart Watch or Fitness Tracker (Pew Research Center, 2020); https://www.pewresearch.org/fact-tank/2020/01/09/about-one-in-five-americans-use-a-smart-watch-or-fitness-tracker/

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