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

JMIR Theme Issue: COVID-19 Special Issue (2452) Mobile Health (mhealth) (2939) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) Infectious Diseases (non-STD/STI) (1575) Surveillance Systems (462) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Quality/Credibility of eHealth Information and Trust Issues (531) Adoption and Change Management of eHealth Systems (712) Vulnerable Populations in Health Research (99)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29085, first published .
Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study

Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study

Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study

Authors of this article:

Liz Dowthwaite1 Author Orcid Image ;   Joel Fischer2 Author Orcid Image ;   Elvira Perez Vallejos3 Author Orcid Image ;   Virginia Portillo1 Author Orcid Image ;   Elena Nichele1 Author Orcid Image ;   Murray Goulden4 Author Orcid Image ;   Derek McAuley1 Author Orcid Image
Article Authors Cited by (43) Tweetations (22) Metrics

Journals

  1. Alkhalifah A, Bukar U. Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis. Frontiers in Public Health 2022;10 View
  2. McClaughlin E, Vilar-Lluch S, Parnell T, Knight D, Nichele E, Adolphs S, Clos J, Schiazza G. The reception of public health messages during the COVID-19 pandemic. Applied Corpus Linguistics 2023;3(1):100037 View
  3. Tretter M. How is “solidarity” understood in discussions about contact tracing apps? An overview. Frontiers in Public Health 2022;10 View
  4. O'Donnell C, Macdonald S, Browne S, Albanese A, Blane D, Ibbotson T, Laidlaw L, Heaney D, Lowe D. Widening or narrowing inequalities? The equity implications of digital tools to support COVID‐19 contact tracing: A qualitative study. Health Expectations 2022;25(6):2851 View
  5. Huang Y, Obada-Obieh B, Lokam S, Beznosov K. Users' Expectations, Experiences, and Concerns With COVID Alert, an Exposure-Notification App. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  6. Skogberg N, Prinkey T, Lilja E, Koponen P, Castaneda A. Association of sociodemographic characteristics with self-perceived access to COVID-19 information and adherence to preventive measures among migrant origin and general populations in Finland: a cross-sectional study. BMJ Open 2023;13(3):e069192 View
  7. Pepper C, Reyes-Cruz G, Pena A, Dowthwaite L, Babbage C, Wagner H, Nichele E, Fischer J. 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. Journal of Medical Internet Research 2022;24(10):e40558 View
  8. Yuen V. The efficacy of health experts’ communication in inducing support for COVID-19 measures and effect on trustworthiness: A survey in Hong Kong. Social Science & Medicine 2023;317:115602 View
  9. Prakash A, Das S, Pillai K. Understanding digital contact tracing app continuance: Insights from India. Health Policy and Technology 2021;10(4):100573 View
  10. Hesse B, Aronoff‐Spencer E, Ahern D, Mullett T, Gibbons C, Chih M, Hubenko A, Koop B. “Don't drop the patient:” Health information in a postpandemic world. World Medical & Health Policy 2022;14(2):310 View
  11. Udeagu C, Pitiranggon M, Misra K, Huang J, Terilli T, Ramos Y, Alexander M, Kim C, Lee D, Blaney K, Keeley C, Long T, Vora N. Outcomes of a Community Engagement and Information Gathering Program to Support Telephone-Based COVID-19 Contact Tracing: Descriptive Analysis. JMIR Public Health and Surveillance 2022;8(11):e40977 View
  12. Meier Y, Meinert J, Krämer N. One-Time Decision or Continual Adjustment? A Longitudinal Study of the Within-Person Privacy Calculus among Users and Non-Users of a COVID-19 Contact Tracing App. Media Psychology 2023;26(1):36 View
  13. Ballouz T, Menges D, Aschmann H, Jung R, Domenghino A, Fehr J, Puhan M, von Wyl V. Individual-Level Evaluation of the Exposure Notification Cascade in the SwissCovid Digital Proximity Tracing App: Observational Study. JMIR Public Health and Surveillance 2022;8(5):e35653 View
  14. Goswami A, Poole L, Thorlu-Bangura Z, Khan N, Hanif W, Khunti K, Gill P, Sajid M, Blandford A, Stevenson F, Banerjee A, Ramasawmy M. The Use of Digital Health Interventions for Cardiometabolic Diseases Among South Asian and Black Minority Ethnic Groups: Realist Review. Journal of Medical Internet Research 2023;25:e40630 View
  15. van Kersbergen K, Tinggaard Svendsen G. Social trust and public digitalization. AI & SOCIETY 2024;39(3):1201 View
  16. Wileden L, Anthony D, Campos-Castillo C, Morenoff J. Resident Willingness to Participate in Digital Contact Tracing in a COVID-19 Hotspot: Findings From a Detroit Panel Study. JMIR Public Health and Surveillance 2023;9:e39002 View
  17. Cao J, Liu D, Zhang G, Shang M. The Impact of Digital Contact Tracing Apps Overuse on Prevention of COVID-19: A Normative Activation Model Perspective. Life 2022;12(9):1371 View
  18. Oyibo K, Morita P. The Effect of Persuasive Design on the Adoption of Exposure Notification Apps: Quantitative Study Based on COVID Alert. JMIR Formative Research 2022;6(9):e34212 View
  19. Pinnock H, Murphie P, Vogiatzis I, Poberezhets V. Telemedicine and virtual respiratory care in the era of COVID-19. ERJ Open Research 2022;8(3):00111-2022 View
  20. Albastaki Y. Assessing the perceived usability of an intelligent contact tracing app to prevent the spread of COVID-19 using SUS and TAM: be aware Bahrain. Journal of Decision Systems 2024;33(2):293 View
  21. Heaton D, Clos J, Nichele E, Fischer J. Critical reflections on three popular computational linguistic approaches to examine Twitter discourses. PeerJ Computer Science 2023;9:e1211 View
  22. Hubbard G, Daas C, Johnston M, Dunsmore J, Maier M, Polson R, Dixon D. Behavioural Sciences Contribution to Suppressing Transmission of Covid-19 in the UK: A Systematic Literature Review. International Journal of Behavioral Medicine 2024;31(1):1 View
  23. Fitriani W, Sutanto J, Handayani P, Hidayanto A. User Compliance With the Health Emergency and Disaster Management System: Systematic Literature Review. Journal of Medical Internet Research 2023;25:e41168 View
  24. Heaton D, Nichele E, Clos J, Fischer J. Perceptions of the Agency and Responsibility of the NHS COVID-19 App on Twitter: Critical Discourse Analysis. Journal of Medical Internet Research 2024;26:e50388 View
  25. Muwonge A, Wee B, Mugerwa I, Nabunya E, Mpyangu C, Bronsvoort B, Ssebaggala E, Kiayias A, Mwaka E, Joloba M. An open-source digital contact tracing system tailored to haulage. Frontiers in Digital Health 2023;5 View
  26. 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
  27. Dolezel M, Smutny Z. Adoption of a COVID-19 Contact Tracing App by Czech Youth: Cross-Cultural Replication Study. JMIR Human Factors 2023;10:e45481 View
  28. Sujarwoto S, Maharani A. Facilitators and barriers to the adoption of mHealth apps for COVID-19 contact tracing: a systematic review of the literature. Frontiers in Public Health 2023;11 View
  29. Alterkait M, Almutarie A, Alduaij M. Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data. Journal of Cases on Information Technology 2024;26(1):1 View
  30. 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
  31. Goggin G, Wilken R. QR codes and automated decision-making in the COVID-19 pandemic. New Media & Society 2024;26(3):1268 View
  32. Sekulić M. The influence of COVID-19 on the older adults in Europe: A systematic literature review. Zbornik radova Departmana za geografiju, turizam i hotelijerstvo 2023;(52-2):82 View
  33. 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
  34. Golna C, Markakis I, Tzavara C, Golnas P, Ntokou A, Souliotis K. Screening and early detection of communicable diseases on board cruise ships: An assessment of passengers’ preferences on technical solutions. Travel Medicine and Infectious Disease 2024;60:102729 View
  35. Smith L, Martin A, Brooks S, Davies R, Stein M, Amlôt R, Marteau T, Rubin G. Measuring and increasing rates of self-isolation in the context of COVID-19: a systematic review with narrative synthesis. Public Health 2024;234:224 View
  36. Palmer A, Sharma S, Nagpal J, Kimani V, Mai F, Ahmed Z. Identifying Barriers to the Adoption of Digital Contact Tracing Apps in England: Semistructured Interview Study With Professionals Involved in the Pandemic Response. JMIR Formative Research 2024;8:e56000 View
  37. Bhatt Y, Ghuman K, Alshibani S, Awan U. Adoption of contact tracing app during pandemic: Users’ resistance behavior. Health Policy and Technology 2024:100901 View
  38. Ramzy M. Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis. Aslib Journal of Information Management 2024 View

Books/Policy Documents

  1. Ehrler F, Blondon K. Digital Health. View
  2. Akkaya F. Effective Cybersecurity Operations for Enterprise-Wide Systems. View
  3. Fischer F. Covid-19 pandisziplinär und international. View