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

Infodemiology and Infoveillance (1558) Outbreak and Pandemic Preparedness and Management (1826) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Infectious Diseases (non-STD/STI) (1726) COVID-19 Vaccination (179) Vaccination Sentiment and Anti-Vaccination Infodemiology (90) Infoveillance and Social Listening (313) Social Media in Public Health informatics (67)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59425, first published .
Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data

Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data

Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data

Authors of this article:

Ahmed Ghassan Tawfiq AbuRaed1 Author Orcid Image ;   Emil Azuma Prikryl2 Author Orcid Image ;   Giuseppe Carenini1 Author Orcid Image ;   Naveed Zafar Janjua3 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Ahmed Ghassan Tawfiq AbuRaed   1 , PhD ;   Emil Azuma Prikryl   2 , MD ;   Giuseppe Carenini   1 , Prof Dr ;   Naveed Zafar Janjua   3 , DrPH, Prof Dr Med

1 Department of Computer Science, The University of British Colombia, Vancouver, BC, Canada

2 NOSM University, Thunder Bay, BC, Canada

3 BC Centre for Disease Control, Vancouver, BC, Canada

Corresponding Author:

  • Ahmed Ghassan Tawfiq AbuRaed, PhD
  • Department of Computer Science
  • The University of British Colombia
  • 2366 Main Mall
  • ICICS building
  • Vancouver, BC V6T 1Z4
  • Canada
  • Phone: 1 7789294413
  • Email: ahmed.aburaed@ubc.ca