Dataset from Multi-Modal Wireless COVID Monitoring and Infection Alerts for Concentrated Populations

Background: This study further integrated and optimized the Personal Health Dashboard (MyPHD) to enable real-time online detection of COVID-19.

Materials/Methods: The data collection system was extended and improved in using wearables for the early detection of COVID-19 infection. With over 5,000 patients recruited in the original Phase 1 IRB-approved study, the existing algorithms were further optimized, especially on its application in individuals with diverse ethnic backgrounds.

Outcome/Impact: This study advanced methodologies in biosensor technologies, digital health applications, disease surveillance, and multimodal surveillance. Findings suggest that wearable devices may be used for large-scale, real-time detection of respiratory infections, often pre-symptomatically.