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Article

Passive Monitoring of Physiological Data and Self-reported Symptoms to Detect Clusters of People with COVID-19

2020-07-07

Abstract excerpt

<h4>ABSTRACT</h4> Traditional screening for COVID-19 typically includes survey questions about symptoms, travel history, and sometimes temperature measurements. We explored whether longitudinal, personal sensor data can help identify subtle changes which may indicate an infection, such as COVID-19. To do this we developed an app that collects smartwatch and activity tracker data, as well as self-reported symptoms...

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Literature Corpus work
7e0f1fd7-76a1-5315-8b99-3a4161a0fd5d
DOI
10.1101/2020.07.06.20141333
Open publication

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Passive Monitoring of Physiological Data and Self-reported Symptoms to Detect Clusters of People with COVID-19DOI 10.1101/2020.07.06.20141333
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