March 21, 2019
Design and Preliminary Findings From a New Electronic Cohort Embedded in the Framingham Heart Study
Clinical Research
Covid-19 Tools
July 7, 2020
Passive Monitoring of Physiological Data and Self-reported Symptoms to Detect Clusters of People with COVID-19
Traditional screening for COVID-19 typically includes survey questions about symptoms, travel history, and sometimes temperature measurements. We explored whether longitudinal, personal sensor data can help identify subtle changes which may indicate an infection, such as COVID-19. To do this we developed an app that collects smartwatch and activity tracker data, as well as self-reported symptoms and diagnostic testing results from participants living in the US.
