COVIDENTIFY: Using Wearable Devices and Smartphones to Detect and Monitor COVID-19 and Influenza
Wednesday, June 17, 2020 - 10:00am to 11:00am
Teams of doctors and scientists are investigating whether the data from wearable devices can help determine whether or not you have a COVID-19 infection, and how severe the infection is expected to get. Study participants answer two simple questions each day for 30 days and then every week for 2 months. Join the Duke Mobile App Gateway for this educational session to learn more about the relationship between COVID-19 and influenza detection and monitoring with wearable devices.
Ryan J. Shaw, PhD, RN is an Associate Professor at Duke University. He holds the Elizabeth C. Clipp Term Chair of Nursing. He is faculty at the Duke University School of Nursing and the Duke Center for Applied Genomics and Precision Medicine. He has collaborative appointments at the Duke Center for Health Informatics and MEDx – Duke’s Medicine & Engineering Initiative.
Jessilyn Dunn serves as the Assistant Professor in the Department of Biomedical Engineering and is a MEDx Investigator. Her work involves developing new tools and infrastructure for multi-modal biomedical data integration to drive precision/personalized methods for early detection, intervention, and prevention of disease. Dr. Dunn's work involves the use of large-scale biomedical datasets to model and guide personalized therapies.