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

JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Machine Learning (1465) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Anxiety and Stress Disorders (1053) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44965, first published .
Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm

Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm

Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm

Authors of this article:

Michiko Ueda1, 2 Author Orcid Image ;   Kohei Watanabe3 Author Orcid Image ;   Hajime Sueki4 Author Orcid Image
Article Authors Cited by (2) Tweetations (22) Metrics

Michiko Ueda   1, 2 , PhD ;   Kohei Watanabe   3 , PhD ;   Hajime Sueki   4 , PhD

1 Department of Public Administration and International Affairs, The Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, NY, United States

2 Center for Policy Research, The Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, NY, United States

3 Waseda Institute for Advanced Study, Waseda University, Tokyo, Japan

4 Faculty of Human Sciences, Wako University, Tokyo, Japan

Corresponding Author:

  • Michiko Ueda, PhD
  • Department of Public Administration and International Affairs
  • The Maxwell School of Citizenship and Public Affairs
  • Syracuse University
  • 426 Eggers Hall
  • Syracuse, NY, 13244
  • United States
  • Phone: 1 3154439046
  • Email: miueda@syr.edu