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Terminating pandemics with smartwatches | PNAS Nexus | Oxford Academic
Smartwatches can detect physiological factors that may be associated with infection such as changes in heart rate and heart rate variability, sleep patterns, activity levels, and skin temperature (11, 12). When integrated with machine learning models, these digital biomarkers of infection have been shown to be useful in detecting infections before symptom onset (11, 13).
Terminating pandemics with smartwatches | PNAS Nexus | Oxford Academic
The smartwatch's day of disease detection and accuracy vary between pathogens and were informed using data from randomized clinical trials (11, 13, 17). We estimated that smartwatches would have 88% sensitivity in detecting COVID-19 variants (13), 90% sensitivity in detecting pandemic influenza (11), and 94% sensitivity in detecting seasonal influenza (17) and that smartwatches could detect COVID-19 infection 3 days before symptom onset (13), pandemic influenza 36 h before symptom onset (11), and seasonal influenza 23 h before symptom onset (17).