This paper is in the following e-collection/theme issue:

New Methods (909) Wearable Devices and Sensors (818) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309) mHealth for Data Collection and Research (914) Influenza and Influenza-Like-Illness (ILI) Surveillance (203)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41050, first published .
Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study

Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study

Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study

Authors of this article:

Victoria Hunter1 Author Orcid Image ;   Allison Shapiro2 Author Orcid Image ;   Devika Chawla1 Author Orcid Image ;   Faye Drawnel3 Author Orcid Image ;   Ernesto Ramirez2 Author Orcid Image ;   Elizabeth Phillips2 Author Orcid Image ;   Sara Tadesse-Bell1 Author Orcid Image ;   Luca Foschini2 Author Orcid Image ;   Vincent Ukachukwu4 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Victoria Hunter   1 , MSc ;   Allison Shapiro   2 , PhD ;   Devika Chawla   1 , PhD ;   Faye Drawnel   3 , PhD ;   Ernesto Ramirez   2 , PhD ;   Elizabeth Phillips   2 , PhD ;   Sara Tadesse-Bell   1 , MPH ;   Luca Foschini   2 , PhD ;   Vincent Ukachukwu   4 , MD

1 Genentech, Inc, South San Francisco, CA, United States

2 Evidation Health, Inc, San Mateo, CA, United States

3 F. Hoffmann-La Roche Ltd, Basel, Switzerland

4 Roche Products Limited, Welwyn Garden City, United Kingdom

Corresponding Author: