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

Pilot studies (ehealth) (174) Mental Health Issues in Adolescence (380) e-Mental Health and Cyberpsychology (1386) Artificial Intelligence (1186) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Digital Biomarkers and Digital Phenotyping (177) Outbreak and Pandemic Preparedness and Management (1673)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52316, first published .
Leveraging Social Media to Predict COVID-19–Induced Disruptions to Mental Well-Being Among University Students: Modeling Study

Leveraging Social Media to Predict COVID-19–Induced Disruptions to Mental Well-Being Among University Students: Modeling Study

Leveraging Social Media to Predict COVID-19–Induced Disruptions to Mental Well-Being Among University Students: Modeling Study

Authors of this article:

Vedant Das Swain1 Author Orcid Image ;   Jingjing Ye2 Author Orcid Image ;   Siva Karthik Ramesh2 Author Orcid Image ;   Abhirup Mondal2 Author Orcid Image ;   Gregory D Abowd3 Author Orcid Image ;   Munmun De Choudhury1 Author Orcid Image
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