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

    Corrigenda and Addenda

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

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

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

    4Faculty 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



    In “Emotional Distress During COVID-19 due to Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm” (J Med Internet Res 2023;25:e44965), the authors noted one error.

    The title “Emotional Distress During COVID-19 due to Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm” has been changed to “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.”

    The correction will appear in the online version of the paper on the JMIR Publications website on March 27, 2023, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    This is a non–peer-reviewed article. submitted 23.03.23; accepted 23.03.23; published 27.03.23.

    Copyright

    ©Michiko Ueda, Kohei Watanabe, Hajime Sueki. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 27.03.2023.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.