How digital health devices can predict virus outbreaks: Scripps Research COVID-19 updates


Publication/Creation Date
March 25 2020
Creators/Contributors
Jennifer Radin (creator)
Media Type
Corporate Video
Persuasive Intent
Academic
Description
The 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.
HCI Platform
Wearables
Discursive Type
Inventions
Location on Body
Wrist
Source
https://www.youtube.com/watch?v=R_cAncSSj7k

Related Collections
COVID-19 Tech (2020)
Date archived
June 17 2020
Last edited
June 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/index.php/Detail/objects/4609