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

Health and Risk Communication (46) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Machine Learning (1501) Mass Media/Social Media Communication and Campaigns (466) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infodemiology and Infoveillance (1369)

Published on in Vol 1, No 1 (2021): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31671, first published .
Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets

Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets

Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets

Authors of this article:

Alexander Kahanek1 Author Orcid Image ;   Xinchen Yu1 Author Orcid Image ;   Lingzi Hong1 Author Orcid Image ;   Ana Cleveland1 Author Orcid Image ;   Jodi Philbrick1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Alexander Kahanek   1 , BSc ;   Xinchen Yu   1 , MSc ;   Lingzi Hong   1 , PhD ;   Ana Cleveland   1 , PhD ;   Jodi Philbrick   1 , PhD

1 College of Information, University of North Texas, Denton, TX, United States

Corresponding Author:

  • Lingzi Hong, PhD
  • College of Information
  • University of North Texas
  • E292
  • 3940 N Elm St
  • Denton, TX, 76203
  • United States
  • Phone: 1 9192607578
  • Email: lingzi.hong@unt.edu