How digital health devices can predict virus outbreaks: Scripps Research COVID-19 updates
Publication/Creation DateMarch 25 2020
DescriptionThe Scripps Research Translational Institute has launched an app-based research program that will analyze participants’ wearable health data—including heart rates, sleep and activity levels—to more quickly detect the emergence of influenza, coronavirus and other fast-spreading viral illnesses.
Members of the public who are 18 or older and use a smartwatch or activity tracker, such as a Fitbit, Apple Watch, Amazfit or Garmin Watch, can join the study and consent to share their data by downloading the MyDataHelps mobile app. By harnessing key data points from these users’ wearable devices, scientists believe they can improve real-time surveillance of contagious respiratory illnesses. Early detection is critical for effective public health response to infectious disease outbreaks and for improving treatments.
The study is being led by epidemiologist Jennifer Radin.
Technology KeywordsSmartphone Applications
, Mobile Applications
, Activity Trackers
, Data Collection
, Digital Health
, Predictive Analytics
, Remote Monitoring
, Remote Patient Monitoring
Date archivedJune 17 2020
Last editedJune 19 2020
How to cite this entry
Jennifer Radin. (March 25 2020). "How digital health devices can predict virus outbreaks: Scripps Research COVID-19 updates". Scripps Translational Science Institute. Fabric of Digital Life. https://fabricofdigitallife.com/Detail/objects/4609