CovIdentify is a research initiative to promote early detection of COVID-19 infections from wearable device data. CovIdentify will primarily be a feasibility study to explore the potential of wearables to detect COVID-19 infection. The investigators will refine our previous statistical and machine learning-based anomaly detection algorithms toward COVID-19 detection using personalized models of health and detect deviations indicative of infection. The investigators will validate and test specificity and sensitivity of the models for detecting COVID-19 infection vs. non-infection against symptom surveys and COVID-19 test results and hospital admissions data.
Inclusion Criteria:
- 18 years of age and older
Exclusion Criteria:
- Less than 18 years of age
Duke University
Durham, North Carolina, United States
Investigator: Jessilyn Dunn
covidentify@duke.edu
Jessilyn Dunn
919-668-9798
covidentify@duke.edu