Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34218, first published .
Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study

Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study

Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study

Journals

  1. Scherz Z, Salman A, Alexandron G, Shwartz Y. WhatsApp Discourse Throughout COVID-19: Towards Computerized Evaluation of the Development of a STEM Teachers Professional Learning Community. International Journal of Artificial Intelligence in Education 2023;33(4):1120 View
  2. Franzolini B, Cremaschi A, van den Boom W, De Iorio M. Bayesian clustering of multiple zero-inflated outcomes. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2023;381(2247) View
  3. Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View
  4. Alsaad E, AlDossary S. Educational Video Intervention to Improve Health Misinformation Identification on WhatsApp Among Saudi Arabian Population: Pre-Post Intervention Study. JMIR Formative Research 2024;8:e50211 View