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

Pilot studies (ehealth) (206) Mental Health Issues in Adolescence (442) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1515) Artificial Intelligence (1371) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Digital Biomarkers and Digital Phenotyping (191) Outbreak and Pandemic Preparedness and Management (1727)

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
Article Authors Cited by Tweetations Metrics

Vedant Das Swain   1 , BTECH, MS, PhD ;   Jingjing Ye   2 , BS, MS ;   Siva Karthik Ramesh   2 , BEng, MS ;   Abhirup Mondal   2 , BTECH, MS ;   Gregory D Abowd   3 , BS, MSc, DPhil ;   Munmun De Choudhury   1 , BTECH, PhD

1 Khoury College of Computer Sciences, Northeastern University, Boston, MA, United States

2 College of Computing, Georgia Institute of Technology, Atlanta, GA, United States

3 College of Engineering, Northeastern University, Boston, MA, United States

Corresponding Author:

  • Vedant Das Swain, BTECH, MS, PhD
  • Khoury College of Computer Sciences
  • Northeastern University
  • #202, West Village Residence Complex H
  • 440 Huntington Ave
  • Boston, MA, 02115
  • United States
  • Phone: 1 (404) 894-2000
  • Email: vedantswain@gmail.com