Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data

Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data

Summary: The fight against COVID-19 is hindered by similarly presenting viral infections that may confound detection and monitoring. We examined person-generated health data (PGHD), consisting of survey and commercial wearable data from individuals' everyday lives, for 230 people who reported a...

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Bibliographic Details
Main Authors: Allison Shapiro, Nicole Marinsek, Ieuan Clay, Benjamin Bradshaw, Ernesto Ramirez, Jae Min, Andrew Trister, Yuedong Wang, Tim Althoff, Luca Foschini
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Patterns
Subjects:
COVID-19
SARS-CoV-2
influenza-like illness
flu
person-generated health data
digital health
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389920302580

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http://www.sciencedirect.com/science/article/pii/S2666389920302580

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