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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (137) Depression and Mood Disorders; Suicide Prevention (1691) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Infodemiology and Infoveillance (1558) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43623, first published .
The Association of a Geographically Wide Social Media Network on Depression: County-Level Ecological Analysis

The Association of a Geographically Wide Social Media Network on Depression: County-Level Ecological Analysis

The Association of a Geographically Wide Social Media Network on Depression: County-Level Ecological Analysis

Authors of this article:

Alaina M Beauchamp1, 2 Author Orcid Image ;   Christoph U Lehmann2, 3, 4, 5 Author Orcid Image ;   Richard J Medford5, 6 Author Orcid Image ;   Amy E Hughes2, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (10) Metrics

Journals

  1. Libório M, Santos A, D’angelo M, Mannan H, Nobre C, da Silva A, Ekel P, Lacerda A. Determining Factors for the Diagnosis of Multidimensional Depression and Its Representation: A Composite Indicator Based on Linear Discriminant Analysis. Applied Sciences 2025;15(15):8275 View