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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (383)

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 Valdez1 Author Orcid Image ;   Marijn ten Thij2 Author Orcid Image ;   Krishna Bathina2 Author Orcid Image ;   Lauren A Rutter3 Author Orcid Image ;   Johan Bollen2 Author Orcid Image
Article Authors Cited by (170) Tweetations (13) 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, United States

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

3 Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States

Corresponding Author:

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