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

Discretionary Corrigenda (84)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47549, first published .
Correction: 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

Correction: 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

Correction: 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 Tweetations (2) 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: 1 315-443-9046
  • Email: miueda@syr.edu