Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40558, first published .
Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study

Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study

Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study

Journals

  1. To W, Lee P. mHealth and COVID-19: A Bibliometric Study. Healthcare 2023;11(8):1163 View
  2. Heaton D, Nichele E, Clos J, Fischer J. “The pingdemic has been a greater challenge than Covid itself”: semantic prosodies in UK newspaper articles during the pandemic. SN Social Sciences 2023;3(9) View
  3. Heaton D, Nichele E, Clos J, Fischer J. Perceptions of The Agency and Responsibility of The NHS Covid-19 App on Twitter: A Critical Discourse Analysis (Preprint). Journal of Medical Internet Research 2023 View
  4. Heaton D, Nichele E, Clos J, Fischer J. “ChatGPT says no”: agency, trust, and blame in Twitter discourses after the launch of ChatGPT. AI and Ethics 2024 View
  5. Newall P, Swanton T. Beyond ‘single customer view’: Player tracking's potential role in understanding and reducing gambling‐related harm. Addiction 2024;119(7):1156 View
  6. Alan A. Life fits home: Exploring people's experience with a COVID-19 tracing app in Turkey through a qualitative study. Mobile Media & Communication 2024;12(3):584 View
  7. Babbage C, Wagner H, Dowthwaite L, Portillo V, Perez E, Fischer J. Exploring individual's public trust in the NHS Test and Trace System – A pragmatic reflexive thematic analysis. Internet Interventions 2024;36:100740 View
  8. Irwin N, Aisyah D, Rahman F, Manikam L. Digital contact tracing technology in the COVID-19 pandemic: a systematic review. Health and Technology 2024;14(6):1229 View
  9. Liu M, Wu X, Li Z, Tan D, Huang C. Assessment of Eye Care Apps for Children and Adolescents Based on the Mobile App Rating Scale: Content Analysis and Quality Assessment. JMIR mHealth and uHealth 2024;12:e53805 View