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

Psychiatry (100) Depression and Mood Disorders; Suicide Prevention (1745) Ecological Momentary Assessment (EMA) (432) mHealth for Wellness, Behavior Change and Prevention (3409) Public (e)Health, Digital Epidemiology and Public Health Informatics (1085) mHealth for Data Collection and Research (1243)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53248, first published .
Predicting Depressive Symptoms Using GPS-Based Regional Data in Germany With the CORONA HEALTH App During the COVID-19 Pandemic: Cross-Sectional Study

Predicting Depressive Symptoms Using GPS-Based Regional Data in Germany With the CORONA HEALTH App During the COVID-19 Pandemic: Cross-Sectional Study

Predicting Depressive Symptoms Using GPS-Based Regional Data in Germany With the CORONA HEALTH App During the COVID-19 Pandemic: Cross-Sectional Study

Authors of this article:

Johanna-Sophie Edler1 Author Orcid Image ;   Michael Winter2 Author Orcid Image ;   Holger Steinmetz3 Author Orcid Image ;   Caroline Cohrdes1 Author Orcid Image ;   Harald Baumeister4 Author Orcid Image ;   Rüdiger Pryss2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Lee H, Kang S, Lee S. The Role of Digital Biomarkers in Physiological Signal-Based Depression Assessment: A Systematic Review and Meta-Analyses (Preprint). Journal of Medical Internet Research 2025 View
  2. Simon L, Steubl L, Terhorst Y, Cohrdes C, Pryss R, Baumeister H. Digital Phenotyping – Lessons Learned, Challenges, and Future Perspectives for Psychodiagnostics. Diagnostica 2026;72(1):29 View