Prospective, observational, exploratory study exploring the relationship between passively-collected data from wearable activity devices and SARS-CoV-2 infection
Study Type
OBSERVATIONAL
Enrollment
847
Evidation Health
San Mateo, California, United States
Development of database containing physiological, behavioral data in combination with SARS-CoV-2 infection
To develop a database of physiological and behavioral data via wearable devices and self-reported questionnaires (e.g.,symptoms) combined with laboratory confirmation of SARS- CoV-2 infection.
Time frame: Through study completion, an average of 7 months
Correlation between SARS-CoV-2 infection and collected wearable data and self-reported data
Physiological and behavioral data from wearable devices (Garmin vivosmart 4, Empatica E4) , patient self-reported data questionnaires (includes but is not limited to demographics, symptoms, medical history, lifestyle, comorbidities, and Medical care utilization), and laboratory diagnostic confirmation of SARS-CoV-2 infection.
Time frame: Through study completion, an average of 7 months
Lift of the analytical models as expressed as the ratio of COVID-19+ recall (COVID-19+ cases detected by model as a percentage of total positive cases)/Healthy false positives (healthy cases detected by the model as being COVID-19+).
Lift is a measure of model performance and will be evaluated at multiple timepoints along the infection time-course (for example, 1 day prior to illness onset, onset, day 3, etc.)
Time frame: Through study completion, an average of 7 months
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