This paper is in the following e-collection/theme issue:
New Methods (1028) JMIR Theme Issue: COVID-19 Special Issue (2493) Infectious Diseases (non-STD/STI) (1655) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530) Wearable Devices and Sensors (988) Outbreak and Pandemic Preparedness and Management (1779) Fitness Trackers and Smart Pedometers/Accelerometers (610) Surveillance Systems (490) mHealth for Data Collection and Research (1079)Published on in Vol 23, No 2 (2021): February
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/26107, first published
.

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study
Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study
Authors of this article:
Robert P Hirten1, 2





















