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

Early Results from COVID-19 Studies (368) JMIR Theme Issue: COVID-19 Special Issue (2559) Digital Biomarkers and Digital Phenotyping (301) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1543) Infectious Diseases (non-STD/STI) (1736) Outbreak and Pandemic Preparedness and Management (1836) Hygiene and Infection Prevention (376)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23461, first published .
Digital Phenotypes for Understanding Individuals' Compliance With COVID-19 Policies and Personalized Nudges: Longitudinal Observational Study

Digital Phenotypes for Understanding Individuals' Compliance With COVID-19 Policies and Personalized Nudges: Longitudinal Observational Study

Digital Phenotypes for Understanding Individuals' Compliance With COVID-19 Policies and Personalized Nudges: Longitudinal Observational Study

Authors of this article:

Ahmed Ibrahim1 Author Orcid Image ;   Heng Zhang1 Author Orcid Image ;   Sarah Clinch1 Author Orcid Image ;   Ellen Poliakoff1 Author Orcid Image ;   Bijan Parsia1 Author Orcid Image ;   Simon Harper1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Kulkarni P, Kirkham R, McNaney R. Opportunities for Smartphone Sensing in E-Health Research: A Narrative Review. Sensors 2022;22(10):3893 View
  2. Katapally T, Elsahli N, Ibrahim S, Bhawra J. Human-centered AI to promote youth mental health: a serendipitous natural experiment enabled by a digital health platform. PeerJ 2026;14:e20772 View

Books/Policy Documents

  1. Chaudhry B, Islam A. Mobile and Ubiquitous Systems: Computing, Networking and Services. View