This paper is in the following e-collection/theme issue:

Early Results from COVID-19 Studies (299) JMIR Theme Issue: COVID-19 Special Issue (2452) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349)

Published on in Vol 6, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37582, first published .
Using Twitter Data to Estimate the Prevalence of Symptoms of Mental Disorders in the United States During the COVID-19 Pandemic: Ecological Cohort Study

Using Twitter Data to Estimate the Prevalence of Symptoms of Mental Disorders in the United States During the COVID-19 Pandemic: Ecological Cohort Study

Using Twitter Data to Estimate the Prevalence of Symptoms of Mental Disorders in the United States During the COVID-19 Pandemic: Ecological Cohort Study

Authors of this article:

Ruilie Cai1 Author Orcid Image ;   Jiajia Zhang1, 2, 3 Author Orcid Image ;   Zhenlong Li2, 3, 4 Author Orcid Image ;   Chengbo Zeng2, 3, 5 Author Orcid Image ;   Shan Qiao2, 3, 5 Author Orcid Image ;   Xiaoming Li2, 3, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Ruilie Cai   1 , MSc ;   Jiajia Zhang   1, 2, 3 , PhD ;   Zhenlong Li   2, 3, 4 , PhD ;   Chengbo Zeng   2, 3, 5 , PhD ;   Shan Qiao   2, 3, 5 , PhD ;   Xiaoming Li   2, 3, 5 , PhD

1 Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States

2 South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States

3 University of South Carolina Big Data Health Science Center, Columbia, SC, United States

4 Geoinformation and Big Data Research Lab, Department of Geography, University of South Carolina, Columbia, SC, United States

5 Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States

Corresponding Author:

  • Ruilie Cai, MSc
  • Department of Epidemiology and Biostatistics
  • Arnold School of Public Health
  • University of South Carolina
  • 921 Assembly Street
  • Columbia, SC, 29208
  • United States
  • Phone: 1 8039556789
  • Email: rcai@email.sc.edu