Official Title
Using Smart Watches to Detect and Monitor COVID-19
Brief Summary

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.

Not yet recruiting
COVID19
Eligibility Criteria

Inclusion Criteria:

- 18 years of age and older

Exclusion Criteria:

- Less than 18 years of age

Eligibility Gender
All
Eligibility Age
Minimum: 18 Years ~ Maximum: N/A
Countries
United States
Locations

Duke University
Durham, North Carolina, United States

Investigator: Jessilyn Dunn
covidentify@duke.edu

Contacts

Jessilyn Dunn
919-668-9798
covidentify@duke.edu

Duke University
NCT Number
Keywords
Wearable Device
Smart Watch
MeSH Terms
COVID-19