MobiHealth News November 2, 2020
Newly published data from Scripps’ DETECT study included data from 30,529 device owners, although only 333 of those who were symptomatic also provided their COVID-19 testing results.
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 Early Control and Treatment) program headed by Scripps Research Translational Institute that was announced in late March and received a major push from Fitbit in May.
The effort enrolled thousands of consumer participants, the researchers wrote, and combined self-reported symptoms...
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