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

• Published in: Nature medicine Vol. 27; no. 1; pp. 73 - 77
• Main Authors: Quer, Giorgio, Radin, Jennifer M, Gadaleta, Matteo, Baca-Motes, Katie, Ariniello, Lauren, Ramos, Edward, Kheterpal, Vik, Topol, Eric J, Steinhubl, Steven R
• Format: Journal Article
• Language: English
• Published: United States Nature Publishing Group 01.01.2021
• Subjects: Adult; Aged; Carrier State; Coronaviruses; COVID-19; COVID-19 - diagnosis; COVID-19 - pathology; Diagnostic systems; Electronic data processing; Female; Health aspects; Heart Rate; Humans; Male; Mass Screening; Middle Aged; Monitoring, Physiologic - methods; Self Report; Sensors; Severe acute respiratory syndrome coronavirus 2; Sleep; Smartphones; Smartwatches; Temperature measurement; Tracking devices; United States; Viral diseases; Wearable computers; Wearable Electronic Devices; United States

Traditional screening for COVID-19 typically includes survey questions about symptoms and travel history, as well as temperature measurements. Here, we explore whether personal sensor data collected over time may help identify subtle changes indicating an infection, such as in patients with COVID-19...