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

Formative Evaluation of Digital Health Interventions (2491) Homelessness (31) Usability of Apps and User Perceptions of mHealth (993) Mobile Health (mhealth) (2982) mHealth for Data Collection and Research (981) Homeless Youth (15) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45309, first published .
Geolocation Patterns, Wi-Fi Connectivity Rates, and Psychiatric Symptoms Among Urban Homeless Youth: Mixed Methods Study Using Self-report and Smartphone Data

Geolocation Patterns, Wi-Fi Connectivity Rates, and Psychiatric Symptoms Among Urban Homeless Youth: Mixed Methods Study Using Self-report and Smartphone Data

Geolocation Patterns, Wi-Fi Connectivity Rates, and Psychiatric Symptoms Among Urban Homeless Youth: Mixed Methods Study Using Self-report and Smartphone Data

Authors of this article:

Yousaf Ilyas1 Author Orcid Image ;   Shahrzad Hassanbeigi Daryani2 Author Orcid Image ;   Dona Kiriella3 Author Orcid Image ;   Paul Pachwicewicz1 Author Orcid Image ;   Randy A Boley4, 5 Author Orcid Image ;   Karen M Reyes1 Author Orcid Image ;   Dale L Smith1, 4, 5 Author Orcid Image ;   Alyson K Zalta1, 6 Author Orcid Image ;   Stephen M Schueller6 Author Orcid Image ;   Niranjan S Karnik1, 4, 5 Author Orcid Image ;   Colleen Stiles-Shields1, 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (20) Metrics

Journals

  1. Milburn N, Rice E, Petry L. Understanding Homelessness Among Young People to Improve Outcomes. Annual Review of Clinical Psychology 2024;20(1):457 View
  2. Guerreiro J, Garriga R, Lozano Bagén T, Sharma B, Karnik N, Matić A. Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises. npj Digital Medicine 2024;7(1) View