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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) JMIR Theme Issue: COVID-19 Special Issue (2554) Mobile Health (mhealth) (3464) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (418) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Innovative Methods in Public Health and Surveillance (383)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40552, first published .
Changes in Mobile Health Apps Usage Before and After the COVID-19 Outbreak in China: Semilongitudinal Survey

Changes in Mobile Health Apps Usage Before and After the COVID-19 Outbreak in China: Semilongitudinal Survey

Changes in Mobile Health Apps Usage Before and After the COVID-19 Outbreak in China: Semilongitudinal Survey

Authors of this article:

Le Yang1 Author Orcid Image ;   Jiadong Wu1 Author Orcid Image ;   Xiaoxiao Mo1 Author Orcid Image ;   Yaqin Chen2 Author Orcid Image ;   Shanshan Huang2 Author Orcid Image ;   Linlin Zhou1 Author Orcid Image ;   Jiaqi Dai1 Author Orcid Image ;   Linna Xie1 Author Orcid Image ;   Siyu Chen1 Author Orcid Image ;   Hao Shang1 Author Orcid Image ;   Beibei Rao1 Author Orcid Image ;   Bingtao Weng1 Author Orcid Image ;   Ayiguli Abulimiti1 Author Orcid Image ;   Siying Wu1 Author Orcid Image ;   Xiaoxu Xie1 Author Orcid Image
Article Authors Cited by (18) Tweetations (2) Metrics

Journals

  1. Zhang X, Raghavan V, Yang X. Health perceptions and attitudes on mobile health apps in China. Health Informatics Journal 2023;29(4) View
  2. Basumatary B, Gul S, Verma M. Social attention to the scientific publications on mHealth research during Covid-19 outbreak: An altmetric study. Iberoamerican Journal of Science Measurement and Communication 2023;3(2) View
  3. Alimena S, Elias K. How does mobile health engagement technology help gynecologic oncology patients recover from surgery, affect health equity, and impact healthcare costs?. Gynecologic Oncology 2023;178:A1 View
  4. McCarthy B, Sabharwal J, Chawla S. Old age or cognitive decline? Examining the usability of a mobile health app for older Australians. Informatics for Health and Social Care 2024;49(1):83 View
  5. Li C, Meng X. Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model. Frontiers in Public Health 2024;12 View
  6. Chen T, Lee S, Ma W. Attributes, Quality, and Downloads of Dementia-Related Mobile Apps for Patients With Dementia and Their Caregivers: App Review and Evaluation Study. JMIR Formative Research 2024;8:e51076 View
  7. Cao J, Feng H, Lim Y, Kodama K, Zhang S. How Social Influence Promotes the Adoption of Mobile Health among Young Adults in China: A Systematic Analysis of Trust, Health Consciousness, and User Experience. Behavioral Sciences 2024;14(6):498 View
  8. Zhao H, Zheng Y, Chen S, Han T. Enhancing user experience in the digital service environment: A comprehensive study on the design and evaluation of internet‐based healthcare products. Journal of Evaluation in Clinical Practice 2024;30(8):1603 View
  9. Shen Y, Wang S, Shen Y, Tan S, Dong Y, Qin W, Zhuang Y. Evaluating the Usability of mHealth Apps: An Evaluation Model Based on Task Analysis Methods and Eye Movement Data. Healthcare 2024;12(13):1310 View
  10. Durmuş Şenyapar H. Healthcare Marketing Evolution: A Comprehensive Exploration of New-Age Strategies and Patient-Centric Paradigms. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi 2024;25(3):440 View
  11. Saliasi I, Lan R, Rhanoui M, Fraticelli L, Viennot S, Tardivo D, Clément C, du Sartz de Vigneulles B, Bernard S, Darlington-Bernard A, Dussart C, Bourgeois D, Carrouel F. French Version of the User Mobile Application Rating Scale: Adaptation and Validation Study. JMIR mHealth and uHealth 2024;12:e63776 View
  12. Chang J, Li A, Yang X, Li C, Mai Y, Zhang D, Yan W, Wu Y, Chen J. Effect of the Big Five Personality on the intention to use mHealth applications among the Chinese elderly: a national-based study. Frontiers in Psychology 2025;16 View
  13. Zhang J, Hoevenaar-Blom M, Jian X, Hou H, Ge S, Brayne C, Eggink E, Hafdi M, He M, Wang G, Wang W, Zhang W, Yu Y, Niu Y, Lyu J, Song L, Wang W, Wang Y, Moll van Charante E, Song M. Implementation of a coach-supported mHealth intervention for dementia prevention in China: a qualitative study among Chinese participants and coaches in the PRODEMOS trial. Journal of Global Health 2025;15 View
  14. Şirin H, Yılmaz Alarçin E. Sağlık Çalışanlarının Yapay Zekâ Uygulamalarına Yönelik Tutum Analizi. Anadolu Üniversitesi Sosyal Bilimler Dergisi 2025;25(2):93 View
  15. Van Ho T, Noh M. Applying topic modeling and emotion detection to understand user experience with healthcare applications: a comparative analysis during and after COVID-19. Health Services and Outcomes Research Methodology 2025 View
  16. Nyirimanzi N, Bransi M, Counil F, Drouin O, Gravel J, Hicks A, Longo C, Moraes T, Osmanlliu E, Radhakrishnan D, Yang C, To T, Wright B, Tse S. Using mHealth to Predict Asthma Exacerbations in Children and Adolescents (Mobile Health for Kids With Asthma): Protocol for an Observational Study. JMIR Research Protocols 2025;14:e70517 View
  17. Dong Y, Zhang L, Lam C, Huang Z. Running into Reproductive Health Information, Running Toward Doctor: Examining the Roles of Incidental Exposure, Perceived Norms, and Embarrassment. Mass Communication and Society 2025:1 View

Conference Proceedings

  1. Rahman A, Abdullah M, Koto H, Sunardi . 2023 IEEE 9th International Conference on Computing, Engineering and Design (ICCED). User Experience Analysis on Digital Healthcare Website Using User Experience Questionnaire and Heuristic Evaluation View