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

Non-randomized Protocols and Methods (ehealth) (596) JMIR Theme Issue: COVID-19 Special Issue (2481) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1526) Outbreak and Pandemic Preparedness and Management (1775) Infectious Diseases (non-STD/STI) (1641) mHealth for Wellness, Behavior Change and Prevention (3048) Wearable Devices and Sensors (963) Fitness Trackers and Smart Pedometers/Accelerometers (600) Theme Issue: Apps for COVID-19 (#Apps4Covid) (137) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (401) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1524) Crowdsourcing, Big Data, Quantified Self-based Research Data (10)

Published on in Vol 10, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32587, first published .
Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)

Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)

Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study)

Authors of this article:

Callum Stewart1 Author Orcid Image ;   Yatharth Ranjan1 Author Orcid Image ;   Pauline Conde1 Author Orcid Image ;   Zulqarnain Rashid1 Author Orcid Image ;   Heet Sankesara1 Author Orcid Image ;   Xi Bai2 Author Orcid Image ;   Richard J B Dobson1, 2, 3, 4, 5 Author Orcid Image ;   Amos A Folarin1, 2 Author Orcid Image
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