Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45419, first published .
Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study

Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study

Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study

Jiageng Wu   1, 2 * , MSc ;   Lumin Wang   1, 2 * , BA ;   Yining Hua   3, 4 , MSc ;   Minghui Li   1, 2 , BA ;   Li Zhou   3, 4 , MD, PhD ;   David W Bates   3, 4 , MD, PhD ;   Jie Yang   1, 2 , PhD

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

2 The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, China

3 Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States

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

*these authors contributed equally

Corresponding Author:

  • Jie Yang, PhD
  • School of Public Health and the Second Affiliated Hospital
  • Zhejiang University School of Medicine
  • 866 Yuhangtang Road
  • Hangzhou, 310058
  • China
  • Phone: 86 057187077982
  • Email: jieynlp@gmail.com