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

Formative Evaluation of Digital Health Interventions (3347) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (734) Usability of Apps and User Perceptions of mHealth (1212) Digital Biomarkers and Digital Phenotyping (302) Focus Groups and Qualitative Research for Human Factors Research (1271) mHealth for Data Collection and Research (1219) Quality/Credibility of eHealth Information and Trust Issues (664)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65530, first published .
Investigating Awareness and Acceptance of Digital Phenotyping in Dhaka’s Korail Slum: Qualitative Study

Investigating Awareness and Acceptance of Digital Phenotyping in Dhaka’s Korail Slum: Qualitative Study

Investigating Awareness and Acceptance of Digital Phenotyping in Dhaka’s Korail Slum: Qualitative Study

Authors of this article:

Nadia Alam1 Author Orcid Image ;   Domenico Giacco1 Author Orcid Image ;   Bulbul Siddiqi2 Author Orcid Image ;   Swaran P Singh1 Author Orcid Image ;   Sagar Jilka1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Alam N, Das C, Roy N, Giacco D, Singh S, Jilka S. Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study. JMIR Research Protocols 2026;15:e79826 View