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

Misinformation and Disinformation Outbreaks and Information Prevalence Studies (47) Public (e)Health, Digital Epidemiology and Public Health Informatics (750) JMIR Theme Issue: COVID-19 Special Issue (2461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369)

Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40156, first published .
Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science

Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science

Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science

Authors of this article:

Sahiti Myneni1 Author Orcid Image ;   Paula Cuccaro2, 3 Author Orcid Image ;   Sarah Montgomery2, 3 Author Orcid Image ;   Vivek Pakanati4 Author Orcid Image ;   Jinni Tang2, 3 Author Orcid Image ;   Tavleen Singh1 Author Orcid Image ;   Olivia Dominguez2, 3 Author Orcid Image ;   Trevor Cohen5 Author Orcid Image ;   Belinda Reininger6 Author Orcid Image ;   Lara S Savas2, 3 Author Orcid Image ;   Maria E Fernandez2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Czerniak K, Pillai R, Parmar A, Ramnath K, Krocker J, Myneni S. A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation. Journal of the American Medical Informatics Association 2023 View
  2. Ayieko S, Jaoko W, Opiyo R, Orang’o E, Messiah S, Baker K, Markham C. Knowledge, Attitudes, and Subjective Norms Associated with COVID-19 Vaccination among Pregnant Women in Kenya: An Online Cross-Sectional Pilot Study Using WhatsApp. International Journal of Environmental Research and Public Health 2024;21(1):98 View