Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77424, first published .
Public Attention to Mpox in China During the Pandemic: Qualitative Analysis of TikTok Data Using Latent Dirichlet Allocation Topic Modeling

Public Attention to Mpox in China During the Pandemic: Qualitative Analysis of TikTok Data Using Latent Dirichlet Allocation Topic Modeling

Public Attention to Mpox in China During the Pandemic: Qualitative Analysis of TikTok Data Using Latent Dirichlet Allocation Topic Modeling

DongHang Luo   1 * , BS ;   Jie Xu   1 * , MS ;   Yaoyao Jiang   1 , BS ;   Mengnan Tan   1 , BS ;   Yaping Yao   2 , MS ;   Lin He   2 , MS ;   Jing Ma   3 , MS ;   Wei Dong   1 , PhD ;   Wei Luo   1 , PhD ;   Chu Zhou   1 , PhD

1 National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China

2 Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China

3 Yunnan Provincial Center for Disease Control and Prevention, Kunming, China

*these authors contributed equally

Corresponding Author:

  • Chu Zhou, PhD
  • National Center for AIDS/STD Control and Prevention
  • Chinese Center for Disease Control and Prevention
  • 155 Changbai Road
  • Beijing 102206
  • China
  • Phone: 86 138 1169 6532
  • Email: zhouchu@chinaaids.cn