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

Formative Evaluation of Digital Health Interventions (5324) Quality/Credibility of eHealth Information and Trust Issues (958) mHealth for Data Collection and Research (1773) Usability of Apps and User Perceptions of mHealth (1830) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (995) Focus Groups and Qualitative Research for Human Factors Research (1591) Digital Biomarkers and Digital Phenotyping (467)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65530, first published .
Elderly man and young woman looking at a smartphone in a rural setting

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 (3) 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
  2. Alam N, Haque T, Subedar S, Giacco D, Singh S, Jilka S. Digital phenotyping for mental health conditions: a systematic review of implementation and application. Frontiers in Digital Health 2026;8 View
  3. Syarif I, Amqam H, Syamsuddin S. Effectiveness of Sajie Care Application in Reducing Stress: A Quasi-Experimental Study. Journal of Public Health Sciences 2026;5(02):234 View