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

Formative Evaluation of Digital Health Interventions (2491) Theme Issue: Social Media, Ethics, and COVID-19 Misinformation (37) JMIR Theme Issue: COVID-19 Special Issue (2461)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38430, first published .
A Personalized Avatar-Based Web Application to Help People Understand How Social Distancing Can Reduce the Spread of COVID-19: Cross-sectional, Observational, Pre-Post Study

A Personalized Avatar-Based Web Application to Help People Understand How Social Distancing Can Reduce the Spread of COVID-19: Cross-sectional, Observational, Pre-Post Study

A Personalized Avatar-Based Web Application to Help People Understand How Social Distancing Can Reduce the Spread of COVID-19: Cross-sectional, Observational, Pre-Post Study

Authors of this article:

Doriane Etienne1 Author Orcid Image ;   Patrick Archambault1, 2, 3 Author Orcid Image ;   Donovan Aziaka3 Author Orcid Image ;   Selma Chipenda-Dansokho3 Author Orcid Image ;   Eve Dubé4 Author Orcid Image ;   Catherine S Fallon3 Author Orcid Image ;   Hina Hakim3 Author Orcid Image ;   Jason Kindrachuk5 Author Orcid Image ;   Dan Krecoum1 Author Orcid Image ;   Shannon E MacDonald6 Author Orcid Image ;   Ruth Ndjaboue7 Author Orcid Image ;   Magniol Noubi1 Author Orcid Image ;   Jean-Sébastien Paquette3 Author Orcid Image ;   Elizabeth Parent3 Author Orcid Image ;   Holly O Witteman1, 3, 8 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics

Journals

  1. Archambault P, Rosychuk R, Audet M, Bola R, Vatanpour S, Brooks S, Daoust R, Clark G, Grant L, Vaillancourt S, Welsford M, Morrison L, Hohl C. Accuracy of Self-Reported COVID-19 Vaccination Status Compared With a Public Health Vaccination Registry in Québec: Observational Diagnostic Study. JMIR Public Health and Surveillance 2023;9:e44465 View