Containing the COVID-19 pandemic requires rapidly identifying infected individuals.
Subtle changes in physiological parameters (such as heart rate, respiratory rate,
and skin temperature), discernible by wearable devices, could act as early digital
biomarkers of infections. Our primary objective was to assess the performance of statistical
and algorithmic models using data from wearable devices to detect deviations compatible
with a SARS-CoV-2 infection. We searched MEDLINE, Embase, Web of Science, the Cochrane
Central Register of Controlled Trials (known as CENTRAL), International Clinical Trials
Registry Platform, and ClinicalTrials.gov on July 27, 2021 for publications, preprints,
and study protocols describing the use of wearable devices to identify a SARS-CoV-2
infection.

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