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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Crowdsourcing and Mechanical Turks (91) JMIR Theme Issue: COVID-19 Special Issue (2394) Mass Media/Social Media Communication and Campaigns (450) Outbreak and Pandemic Preparedness and Management (1679) Prevention and Health Promotion (899) Hygiene and Infection Prevention (300)

Published on in Vol 7, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25762, first published .
Assessment of the Effectiveness of Identity-Based Public Health Announcements in Increasing the Likelihood of Complying With COVID-19 Guidelines: Randomized Controlled Cross-sectional Web-Based Study

Assessment of the Effectiveness of Identity-Based Public Health Announcements in Increasing the Likelihood of Complying With COVID-19 Guidelines: Randomized Controlled Cross-sectional Web-Based Study

Assessment of the Effectiveness of Identity-Based Public Health Announcements in Increasing the Likelihood of Complying With COVID-19 Guidelines: Randomized Controlled Cross-sectional Web-Based Study

Authors of this article:

Alexander S Dennis1 Author Orcid Image ;   Patricia L Moravec2 Author Orcid Image ;   Antino Kim3 Author Orcid Image ;   Alan R Dennis3 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Luttrell A, Trentadue J. Advocating for Mask-Wearing Across the Aisle: Applying Moral Reframing in Health Communication. Health Communication 2024;39(2):270 View
  2. Muralidharan S, Roth-Cohen O, LaFerle C. Considering the Subjective Well-Being of Israeli Jews during the COVID-19 Pandemic: Messaging Insights from Religiosity and Spirituality as Coping Mechanisms. International Journal of Environmental Research and Public Health 2022;19(19):12010 View
  3. Hansen R, Baiju N, Gabarron E. Social Media as an Effective Provider of Quality-Assured and Accurate Information to Increase Vaccine Rates: Systematic Review. Journal of Medical Internet Research 2023;25:e50276 View
  4. Wei J, Murphy M. Dynamics of English gratitude expression: a corpus-assisted analysis of UK government COVID-19 briefings. Language and Cognition 2024:1 View