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

JMIR Theme Issue: COVID-19 Special Issue (2554) Mobile Health (mhealth) (3464) mHealth for Wellness, Behavior Change and Prevention (3315) mHealth for Data Collection and Research (1196)

Published on in Vol 25 (2023)

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40602, first published .
Engagement With mHealth COVID-19 Digital Biomarker Measurements in a Longitudinal Cohort Study: Mixed Methods Evaluation

Engagement With mHealth COVID-19 Digital Biomarker Measurements in a Longitudinal Cohort Study: Mixed Methods Evaluation

Engagement With mHealth COVID-19 Digital Biomarker Measurements in a Longitudinal Cohort Study: Mixed Methods Evaluation

Authors of this article:

Kirsten L Rennie1 Author Orcid Image ;   Emma R Lawlor1 Author Orcid Image ;   Arrash Yassaee2 Author Orcid Image ;   Adam Booth2 Author Orcid Image ;   Kate Westgate1 Author Orcid Image ;   Stephen J Sharp1 Author Orcid Image ;   Carina S B Tyrrell1 Author Orcid Image ;   Mert Aral2 Author Orcid Image ;   Nicholas J Wareham1 Author Orcid Image
Article Authors Cited by (3) Tweetations (15) Metrics

Journals

  1. Dolezalova N, Gkrania-Klotsas E, Morelli D, Moore A, Cunningham A, Booth A, Plans D, Reed A, Aral M, Rennie K, Wareham N. Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity. Scientific Reports 2023;13(1) View
  2. Nikolovski J, Navar A, Steinhubl S, Baca-Motes K, Curtis A, Peterson E, Lakkireddy D, Tarino M, Juan S, Damaraju C, Wentworth D, Wildenhaus K, Patel M, Tavakoli C, Gibson C, Spertus J. The Heartline Experience. JACC: Advances 2025;4(9):102072 View
  3. Figueiredo T, Alcântara L, Carrilho J, Paúl C, Costa E. Understanding Adherence to Digital Health Technologies: Systematic Review of Predictive Factors. Journal of Medical Internet Research 2025;27:e77362 View