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

Public (e)Health, Digital Epidemiology and Public Health Informatics (1045) JMIR Theme Issue: COVID-19 Special Issue (2558) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1939) Mass Media/Social Media Communication and Campaigns (583) Infodemiology and Infoveillance (1578) Information Seeking, Information Needs (569) Outbreak and Pandemic Preparedness and Management (1835) Hygiene and Infection Prevention (376)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51325, first published .
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

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 (1) 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