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

Public (e)Health, Digital Epidemiology and Public Health Informatics (2249) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2654) Infodemiology and Infoveillance (1974) Mass Media/Social Media Communication and Campaigns (786) Information Seeking, Information Needs (648) Hygiene and Infection Prevention (432) Outbreak and Pandemic Preparedness and Management (1956) JMIR Theme Issue: COVID-19 Special Issue (4233)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51325, first published .
Person using smartphone with social media notifications like likes, comments, and shares.

Linking Opinions Shared on Social Media About COVID-19 Public Health Measures to Adherence: Repeated Cross-Sectional Surveys of Twitter Use in Canada

Linking Opinions Shared on Social Media About COVID-19 Public Health Measures to Adherence: Repeated Cross-Sectional Surveys of Twitter Use in Canada

Authors of this article:

José Denis-Robichaud1 Author Orcid Image ;   Erin E Rees1, 2, 3 Author Orcid Image ;   Patrick Daley4 Author Orcid Image ;   Christina Zarowsky5, 6 Author Orcid Image ;   Assane Diouf2, 7 Author Orcid Image ;   Bouchra R Nasri5, 6, 8, 9 Author Orcid Image ;   Simon de Montigny1, 5 Author Orcid Image ;   Hélène Carabin1, 3, 5, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Rees E, Sotoodeh M, Denis-Robichaud J, Carabin H, de Montigny S. Predicting local COVID-19 emergences: A time-series classification approach and value of data from social media, search engines, and neighbouring regions. Epidemics 2026;54:100891 View
  2. Denis-Robichaud J, Carabin H, Niu J, Rees E. A Bayesian latent class analysis approach for assessing the accuracy of natural language processing models classifying topic and sentiment of public health–related social media content. AJE Advances: Research in Epidemiology 2026;2(3) View