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

Theme Issue: The New Digital Normal in Health and Medicine (40) Infodemiology and Infoveillance (1443) JMIR Theme Issue: COVID-19 Special Issue (2490) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1771) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1769) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1085)

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 Li1, 2 Author Orcid Image ;   Yining Hua3, 4 Author Orcid Image ;   Yanhui Liao5 Author Orcid Image ;   Li Zhou3, 4 Author Orcid Image ;   Xue Li1, 2 Author Orcid Image ;   Ling Wang6 Author Orcid Image ;   Jie Yang1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (8) 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
  2. Hua Y, Wang L, Nguyen V, Rieu-Werden M, McDowell A, Bates D, Foer D, Zhou L. A deep learning approach for transgender and gender diverse patient identification in electronic health records. Journal of Biomedical Informatics 2023;147:104507 View
  3. Park J, Tsou M, Nara A, Cassels S, Dodge S. Developing a social sensing index for monitoring place-oriented mental health issues using social media (twitter) data. Urban Informatics 2024;3(1) View
  4. Hua Y, Wu J, Lin S, Li M, Zhang Y, Foer D, Wang S, Zhou P, Yang J, Zhou L. Streamlining social media information retrieval for public health research with deep learning. Journal of the American Medical Informatics Association 2024;31(7):1569 View
  5. Zhang Z, Hua Y, Zhou P, Lin S, Li M, Zhang Y, Zhou L, Liao Y, Yang J. Sexual and Gender-Diverse Individuals Face More Health Challenges during COVID-19: A Large-Scale Social Media Analysis with Natural Language Processing. Health Data Science 2024;4 View
  6. Yin L, Han M, Nie X. Unlocking Blended Emotions and Underlying Drivers: A Deep Dive into COVID-19 Vaccination Insights on Twitter Across Digital and Physical Realms in New York, Using ChatGPT. Urban Science 2024;8(4):222 View
  7. Lin S, Garay L, Hua Y, Guo Z, Li W, Li M, Zhang Y, Xu X, Yang J. Analysis of longitudinal social media for monitoring symptoms during a pandemic. Journal of Biomedical Informatics 2025;162:104778 View
  8. Li W, Hua Y, Zhou P, Zhou L, Xu X, Yang J. Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis. Journal of Medical Internet Research 2025;27:e63755 View

Conference Proceedings

  1. Wu J, Wu X, Hua Y, Lin S, Zheng Y, Yang J. Proceedings of the ACM Web Conference 2023. Exploring Social Media for Early Detection of Depression in COVID-19 Patients View
  2. Khatibi E, Abbasian M, Azimi I, Labbaf S, Feli M, Borelli J, Dutt N, Rahmani A. 2023 IEEE 19th International Conference on Body Sensor Networks (BSN). Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach View