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

JMIR Theme Issue: COVID-19 Special Issue (2173) Infodemiology and Infoveillance (1051) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1325) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (867) Outbreak and Pandemic Preparedness and Management (1496) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1361) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (347)

Published on in Vol 22 , No 12 (2020) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21418, first published .
Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Authors of this article:

Danny Valdez 1 Author Orcid Image ;   Marijn ten Thij 2 Author Orcid Image ;   Krishna Bathina 2 Author Orcid Image ;   Lauren A Rutter 3 Author Orcid Image ;   Johan Bollen 2 Author Orcid Image
Article Authors Cited by (105) Tweetations (15) Metrics

Danny Valdez   1 , PhD ;   Marijn ten Thij   2 , PhD ;   Krishna Bathina   2 , MS ;   Lauren A Rutter   3 , PhD ;   Johan Bollen   2 , PhD

1 Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, US

2 Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, US

3 Psychological and Brain Sciences, Indiana University, Bloomington, IN, US

Corresponding Author:

  • Danny Valdez, PhD
  • Department of Applied Health Science
  • School of Public Health
  • Indiana University
  • 1033 E 3rd Street
  • Office 143
  • Bloomington, IN
  • US
  • Phone: 1 812-855-1561
  • Email: danvald@iu.edu