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

Theme Issue: The New Digital Normal in Health and Medicine (11) Infodemiology and Infoveillance (1008) JMIR Theme Issue: COVID-19 Special Issue (2094) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1276) e-Mental Health and Cyberpsychology (930) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (825)

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 (1) Tweetations (10) Metrics
Minghui Li 1, 2 * , BA ;   Yining Hua 3, 4 * , BA ;   Yanhui Liao 5 , MD ;   Li Zhou 3, 4 , MD, PhD ;   Xue Li 1, 2 , PhD ;   Ling Wang 6 , PhD ;   Jie Yang 1, 2 , PhD

1 Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital , Zhejiang University School of Medicine , Hangzhou , CN

2 The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province , Hangzhou , CN

3 Department of Biomedical Informatics , Harvard Medical School , Boston , MA , US

4 Division of General Internal Medicine and Primary Care , Department of Medicine , Brigham and Women’s Hospital , Boston , MA , US

5 Department of Psychiatry, Sir Run Run Shaw Hospital , School of Medicine , Zhejiang University , Hangzhou , CN

6 Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care , King’s College London , London , GB

*these authors contributed equally

Corresponding Author:

  • Jie Yang , PhD
  • Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital
  • Zhejiang University School of Medicine
  • 866 Yuhangtang Road
  • Hangzhou
  • CN
  • Phone: 86 19157731185
  • Email: jieynlp@gmail.com