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

Theme Issue: The New Digital Normal in Health and Medicine (27) Infodemiology and Infoveillance (1124) JMIR Theme Issue: COVID-19 Special Issue (2238) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1399) e-Mental Health and Cyberpsychology (1116) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (921)

Published on in Vol 24 , No 10 (2022) :October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39676, first published .
Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study

Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study

Tracking the Impact of COVID-19 and Lockdown Policies on Public Mental Health Using Social Media: Infoveillance Study

Authors of this article:

Minghui Li 1, 2 Author Orcid Image ;   Yining Hua 3, 4 Author Orcid Image ;   Yanhui Liao 5 Author Orcid Image ;   Li Zhou 3, 4 Author Orcid Image ;   Xue Li 1, 2 Author Orcid Image ;   Ling Wang 6 Author Orcid Image ;   Jie Yang 1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (9) Metrics

Journals

  1. Wu J, Wang L, Hua Y, Li M, Zhou L, Bates D, Yang J. Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study. Journal of Medical Internet Research 2023;25:e45419 View