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

Usability of Apps and User Perceptions of mHealth (974) JMIR Theme Issue: COVID-19 Special Issue (2452) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) Use and User Demographics of mHealth (335) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infectious Diseases (non-STD/STI) (1575) Demographics of Users, Social & Digital Divide (739) Security and Privacy of mHealth and uHealth (124)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29181, first published .
To Use or Not to Use a COVID-19 Contact Tracing App: Mixed Methods Survey in Wales

To Use or Not to Use a COVID-19 Contact Tracing App: Mixed Methods Survey in Wales

To Use or Not to Use a COVID-19 Contact Tracing App: Mixed Methods Survey in Wales

Authors of this article:

Kerina Jones1 Author Orcid Image ;   Rachel Thompson1 Author Orcid Image
Article Authors Cited by (11) Tweetations (4) Metrics

Journals

  1. Isonne C, De Blasiis M, Turatto F, Mazzalai E, Marzuillo C, De Vito C, Villari P, Baccolini V. What Went Wrong with the IMMUNI Contact-Tracing App in Italy? A Cross-Sectional Survey on the Attitudes and Experiences among Healthcare University Students. Life 2022;12(6):871 View
  2. Saheb T, Sabour E, Qanbary F, Saheb T. Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies. Technology in Society 2022;69:101968 View
  3. Villius Zetterholm M, Nilsson L, Jokela P. Using a Proximity-Detection Technology to Nudge for Physical Distancing in a Swedish Workplace During the COVID-19 Pandemic: Retrospective Case Study. JMIR Formative Research 2022;6(12):e39570 View
  4. Dowthwaite L, Wagner H, Babbage C, Fischer J, Barnard P, Nichele E, Perez Vallejos E, Clos J, Portillo V, McAuley D, Baig M. The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK. PLOS ONE 2022;17(10):e0276661 View
  5. 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
  6. Villius Zetterholm M, Jokela P. Addressing Complexity in the Pandemic Context: How Systems Thinking Can Facilitate Understanding of Design Aspects for Preventive Technologies. Informatics 2023;10(1):7 View
  7. Scholz U, Mundry R, Freund A. Predicting the use of a COVID‐19 contact tracing application: A study across two points of measurements. Applied Psychology: Health and Well-Being 2023;15(4):1673 View
  8. Masel J, Petrie J, Bay J, Ebbers W, Sharan A, Leibrand S, Gebhard A, Zimmerman S. Combatting SARS-CoV-2 With Digital Contact Tracing and Notification: Navigating Six Points of Failure. JMIR Public Health and Surveillance 2023;9:e49560 View
  9. Hao H, Smith G, Chen Y, Mondal M, Loh P, Smith S, Page X. What Factors Affect People's Opinions Toward COVID-19 and Contact Tracing Apps in the United States. International Journal of Healthcare Information Systems and Informatics 2024;19(1):1 View
  10. Ramzy M. Knowledge structure and theme trends on mHealth apps for COVID-19: bibliometric analysis. Aslib Journal of Information Management 2024 View
  11. Choudhury A, Sarma K, Misra D, Guha K, Iannacci J. Edge Computing for Smart-City Human Habitat: A Pandemic-Resilient, AI-Powered Framework. Journal of Sensor and Actuator Networks 2024;13(6):76 View