Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63755, first published .
Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis

Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis

Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis

Authors of this article:

Wanxin Li1 Author Orcid Image ;   Yining Hua2, 3 Author Orcid Image ;   Peilin Zhou4 Author Orcid Image ;   Li Zhou3 Author Orcid Image ;   Xin Xu1 Author Orcid Image ;   Jie Yang1, 5 Author Orcid Image

Wanxin Li   1 , BS ;   Yining Hua   2, 3 , MS ;   Peilin Zhou   4 , MS ;   Li Zhou   3 , MD ;   Xin Xu   1 , PhD ;   Jie Yang   1, 5 , PhD

1 School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China

2 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States

3 Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, United States

4 Thrust of Data Science and Analytics, Hong Kong University of Science and Technology, Guangzhou, China

5 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States

Corresponding Author:

  • Xin Xu, PhD
  • School of Public Health, the Second Affiliated Hospital
  • Zhejiang University School of Medicine
  • No. 866, Yuhangtang Road
  • Hangzhou 310058
  • China
  • Phone: 86 13575760802
  • Email: xuxinsummer@zju.edu.cn