Symptom-based COVID-19 screening can be improved by incorporating data collected from wearable sensors into prediction algorithms, an approach that could complement ongoing testing efforts by spotting symptomatic and pre-symptomatic individuals early, according to a research letter recently published in nature medicine.
The findings are part of the DETECT (Digital Engagement and Tracking for...
