Natural History Study of COVID-19 Using Digital Wearables

Study Description: COVID-19 patients experience varying degrees of illness. Factors associated with prolonged illness remain unknown especially in non-hospitalized patients. This study uses digital wearables to collect high-resolution physiological data to understand the clinical course of COVID-19 in patients with a positive COVID-19 diagnosis. We hypothesize that wearables-based physiological data are associated with COVID-19 post-acute sequelae. Objectives: To identify digital wearables-based physiological data that are associated with COVID-19 post-acute sequelae. Endpoints: Primary endpoint: Long COVID-19 defined as \>=1 symptom at 3 weeks beyond first symptom onset or test positivity, whichever comes first. Secondary endpoint: Chronic COVID-19 defined as \>=1 symptom at 12 weeks beyond first symptom onset or test positivity, whichever comes first.