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

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