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

Early Results from COVID-19 Studies (309) Theme Issue: Apps for COVID-19 (#Apps4Covid) (137) Outbreak and Pandemic Preparedness and Management (1743) JMIR Theme Issue: COVID-19 Special Issue (2461) mHealth for Wellness, Behavior Change and Prevention (2922) Public (e)Health, Digital Epidemiology and Public Health Informatics (750)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43639, first published .
Use of and Satisfaction With Mobile Health Education During the COVID-19 Pandemic in Thailand: Cross-sectional Study

Use of and Satisfaction With Mobile Health Education During the COVID-19 Pandemic in Thailand: Cross-sectional Study

Use of and Satisfaction With Mobile Health Education During the COVID-19 Pandemic in Thailand: Cross-sectional Study

Authors of this article:

Kamonrat Kittipimpanon1 Author Orcid Image ;   Angun Noyudom1 Author Orcid Image ;   Pawanrat Panjatharakul1 Author Orcid Image ;   Poolsuk Janepanish Visudtibhan1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Sarbay İ, Berikol G, Özturan İ. Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT). Turkish Journal of Emergency Medicine 2023;23(3):156 View
  2. Mostafa. M.khater , El-Sayed M. El-kenawy , Mostafa Abotaleb . Mobile Tourism Recommender System for Users to Get a Better Choice of Tour. Wasit Journal of Computer and Mathematics Science 2023;2(3):81 View
  3. Cosma C, Radi A, Cattano R, Zanobini P, Bonaccorsi G, Lorini C, Del Riccio M. Exploring Chatbot contributions to enhancing vaccine literacy and uptake: A scoping review of the literature. Vaccine 2025;44:126559 View