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

Non-randomized Protocols and Methods (ehealth) (568) JMIR Theme Issue: COVID-19 Special Issue (2453) Wearable Devices and Sensors (890) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1402) Infectious Diseases (non-STD/STI) (1576) mHealth for Health Administration (144) mHealth for Wellness, Behavior Change and Prevention (2875) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1518) mHealth in a Clinical Setting (616) Outbreak and Pandemic Preparedness and Management (1728) mHealth for Data Collection and Research (955) Occupational Health and Ergonomics/Prevention at the Workplace (238)

Published on in Vol 10, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29562, first published .
Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study

Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study

Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study

Authors of this article:

Caroline A Clingan1 Author Orcid Image ;   Manasa Dittakavi1 Author Orcid Image ;   Michelle Rozwadowski1 Author Orcid Image ;   Kristen N Gilley1 Author Orcid Image ;   Christine R Cislo1 Author Orcid Image ;   Jenny Barabas2 Author Orcid Image ;   Erin Sandford2 Author Orcid Image ;   Mary Olesnavich2 Author Orcid Image ;   Christopher Flora2 Author Orcid Image ;   Jonathan Tyler1, 3 Author Orcid Image ;   Caleb Mayer3 Author Orcid Image ;   Emily Stoneman4 Author Orcid Image ;   Thomas Braun5 Author Orcid Image ;   Daniel B Forger3 Author Orcid Image ;   Muneesh Tewari2, 6, 7, 8 Author Orcid Image ;   Sung Won Choi1, 6 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

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  2. Majeed A, Hwang S. Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments. Symmetry 2021;14(1):16 View
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