TemPredict: Testing Associations Between Physiological Data Collected by a Wearable and Onset of Illness Symptoms

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Project contact: Ashley Mason

PI: Ashley Mason

Public Summary

TemPredict is a research study that examines associations between dermal body temperature, heart rate, and other metrics captured by a wearable smartring, and (1) onset of COVID-19 symptoms such as fever, cough, and fatigue, and (2) COVID-19 antibody testing results.

Type of Research: Clinical / Translational Science study (excluding trials)

Topics: Antibody, Clinical Presentation of Infection, Diagnostics, Mobile Health, Wearables