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Published on in Vol 26 (2024)

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

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
  3. Dumas A, Savage J, Crandall K, Koffi J, Leighton P, Ogden N, Rees E, Bouchard C. Assessing the Effectiveness of Crowdsourced Data to Detect Established Tick Populations in Quebec, Canada: Retrospective Ecological Study. JMIR Public Health and Surveillance 2026;12:e90734 View
  4. Davidson A, Hughey S, White L. Puzzling through a pandemic: theorizing the effect of public puzzling on policy decision making and public trust. Policy Sciences 2026 View