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](https://asset.jmir.pub/assets/c781539e9aba4fbd99d6820369351d67.png 480w,https://asset.jmir.pub/assets/c781539e9aba4fbd99d6820369351d67.png 960w,https://asset.jmir.pub/assets/c781539e9aba4fbd99d6820369351d67.png 1920w,https://asset.jmir.pub/assets/c781539e9aba4fbd99d6820369351d67.png 2500w)
Journals
- 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
- 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
- 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
- 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