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

New Methods (909) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (788) Big Data (219) Innovative Methods in Public Health and Surveillance (306) mHealth for Data Collection and Research (914) Smoking Cessation (518)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17451, first published .
The Potential of Smartphone Apps in Informing Protobacco and Antitobacco Messaging Efforts Among Underserved Communities: Longitudinal Observational Study

The Potential of Smartphone Apps in Informing Protobacco and Antitobacco Messaging Efforts Among Underserved Communities: Longitudinal Observational Study

The Potential of Smartphone Apps in Informing Protobacco and Antitobacco Messaging Efforts Among Underserved Communities: Longitudinal Observational Study

Authors of this article:

Edmund WJ Lee1, 2, 3 Author Orcid Image ;   Mesfin Awoke Bekalu1, 2 Author Orcid Image ;   Rachel McCloud1, 2 Author Orcid Image ;   Donna Vallone4, 5, 6 Author Orcid Image ;   Monisha Arya7, 8 Author Orcid Image ;   Nathaniel Osgood9 Author Orcid Image ;   Xiaoyan Li9 Author Orcid Image ;   Sara Minsky1 Author Orcid Image ;   Kasisomayajula Viswanath1, 2 Author Orcid Image
Article Authors Cited by (11) Tweetations (5) Metrics

Journals

  1. Lee H, Kang J, Yeo J. Medical Specialty Recommendations by an Artificial Intelligence Chatbot on a Smartphone: Development and Deployment. Journal of Medical Internet Research 2021;23(5):e27460 View
  2. Yang Q, Clendennen S, Loukas A. How Does Social Media Exposure and Engagement Influence College Students’ Use of ENDS Products? A Cross-lagged Longitudinal Study. Health Communication 2023;38(1):31 View
  3. Lee E, Bekalu M, McCloud R, Viswanath K. Toward an Extended Infodemiology Framework: Leveraging Social Media Data and Web Search Queries as Digital Pulse on Cancer Communication. Health Communication 2023;38(2):335 View
  4. Goodridge D, Reis N, Neiser J, Haubrich T, Westberg B, Erickson-Lumb L, Storozinski J, Gonzales C, Michael J, Cammer A, Osgood N. An App-Based Mindfulness-Based Self-compassion Program to Support Caregivers of People With Dementia: Participatory Feasibility Study. JMIR Aging 2021;4(4):e28652 View
  5. Beukenhorst A, Sergeant J, Schultz D, McBeth J, Yimer B, Dixon W. Understanding the Predictors of Missing Location Data to Inform Smartphone Study Design: Observational Study. JMIR mHealth and uHealth 2021;9(11):e28857 View
  6. Stevens E, Vázquez-Otero C, Li X, Arya M, Vallone D, Minsky S, Osgood N, Viswanath K. Tobacco messages encountered in real-time among low socio-economic position groups: a descriptive study. BMC Public Health 2021;21(1) View
  7. Lee E, McCloud R, Viswanath K. Designing Effective eHealth Interventions for Underserved Groups: Five Lessons From a Decade of eHealth Intervention Design and Deployment. Journal of Medical Internet Research 2022;24(1):e25419 View
  8. Lee E, Zheng H, Goh D, Lee C, Theng Y. Examining COVID-19 Tweet Diffusion Using an Integrated Social Amplification of Risk and Issue-Attention Cycle Framework. Health Communication 2023:1 View
  9. Nali M, Purushothaman V, Li Z, Cuomo R, Mackey T. Assessing the Impact of the Massachusetts Temporary Flavor Ban on Licensed Tobacco Retailers. Tobacco Use Insights 2023;16 View
  10. Lee E, Bao H, Wu Y, Wang M, Wong Y, Viswanath K. Examining health apps and wearable use in improving physical and mental well-being across U.S., China, and Singapore. Scientific Reports 2024;14(1) View

Books/Policy Documents

  1. Rosário A. Enhancing Business Communications and Collaboration Through Data Science Applications. View