Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20572, first published .
Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach

Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach

Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach

Authors of this article:

Michel Walrave 1 Author Orcid Image ;   Cato Waeterloos 2 Author Orcid Image ;   Koen Ponnet 2 Author Orcid Image

Journals

  1. Montagni I, Roussel N, Thiébaut R, Tzourio C. Health Care Students’ Knowledge of and Attitudes, Beliefs, and Practices Toward the French COVID-19 App: Cross-sectional Questionnaire Study. Journal of Medical Internet Research 2021;23(3):e26399 View
  2. Camacho-Rivera M, Islam J, Rivera A, Vidot D. Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey. JMIR mHealth and uHealth 2020;8(12):e24693 View
  3. Seto E, Challa P, Ware P. Adoption of COVID-19 Contact Tracing Apps: A Balance Between Privacy and Effectiveness. Journal of Medical Internet Research 2021;23(3):e25726 View
  4. Amann J, Sleigh J, Vayena E, Guidi B. Digital contact-tracing during the Covid-19 pandemic: An analysis of newspaper coverage in Germany, Austria, and Switzerland. PLOS ONE 2021;16(2):e0246524 View
  5. Kawakami N, Sasaki N, Kuroda R, Tsuno K, Imamura K. The Effects of Downloading a Government-Issued COVID-19 Contact Tracing App on Psychological Distress During the Pandemic Among Employed Adults: Prospective Study. JMIR Mental Health 2021;8(1):e23699 View
  6. von Wyl V, Höglinger M, Sieber C, Kaufmann M, Moser A, Serra-Burriel M, Ballouz T, Menges D, Frei A, Puhan M. Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis. JMIR Public Health and Surveillance 2021;7(1):e25701 View
  7. Harris T, Vuilleumier L, Backes C, Nenes A, Vernez D. Satellite-Based Personal UV Dose Estimation. Atmosphere 2021;12(2):268 View
  8. Chan E, Saqib N. Privacy concerns can explain unwillingness to download and use contact tracing apps when COVID-19 concerns are high. Computers in Human Behavior 2021;119:106718 View
  9. Kostka G, Habich-Sobiegalla S. In Times of Crisis: Public Perceptions Towards COVID-19 Contact Tracing Apps in China, Germany and the US. SSRN Electronic Journal 2020 View
  10. Bente B, van 't Klooster J, Schreijer M, Berkemeier L, van Gend J, Slijkhuis P, Kelders S, van Gemert-Pijnen J. The Dutch COVID-19 Contact Tracing App (the CoronaMelder): Usability Study. JMIR Formative Research 2021;5(3):e27882 View
  11. Weiß J, Esdar M, Hübner U. Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis. JMIR mHealth and uHealth 2021;9(3):e27232 View
  12. Bechard L, Bergelt M, Neudorf B, DeSouza T, Middleton L. Using the Health Belief Model to Understand Age Differences in Perceptions and Responses to the COVID-19 Pandemic. Frontiers in Psychology 2021;12 View
  13. Raman R, Achuthan K, Vinuesa R, Nedungadi P. COVIDTAS COVID-19 Tracing App Scale—An Evaluation Framework. Sustainability 2021;13(5):2912 View
  14. Albouy-Llaty M, Martin C, Benamousig D, Bothorel E, Munier G, Simonin C, Guéant J, Rusch E. Positioning digital tracing applications in France's COVID-19 pandemic management (Preprint). Journal of Medical Internet Research 2021 View
  15. Scherr T, DeSousa J, Moore C, Hardcastle A, Wright D. App Use and Usability of a Barcode-Based Digital Platform to Augment COVID-19 Contact Tracing: Postpilot Survey and Paradata Analysis. JMIR Public Health and Surveillance 2021;7(3):e25859 View
  16. Zhao X, Shi W, Li X, Li W, Li C. Autistic traits and negative emotions in the general population during COVID-19: Mediating roles of the behavioural immune system and COVID-19 risk perception. Psychiatry Research 2021;300:113918 View
  17. Tomczyk S, Barth S, Schmidt S, Muehlan H. Utilizing Health Behavior Change and Technology Acceptance Models to Predict the Adoption of COVID-19 Contact Tracing Apps: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(5):e25447 View
  18. Kahnbach L, Lehr D, Brandenburger J, Mallwitz T, Jent S, Hannibal S, Funk B, Janneck M. Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps. Journal of Medical Internet Research 2021;23(6):e27989 View
  19. ANGIN M, ANGIN P. COVID-19 Tracking Applications: A Human-Centric Analysis. European Journal of Science and Technology 2021 View
  20. Vereen R, Lazard A, Frank S, Pulido M, Richter A, Higgins I, Shelus V, Vandegrift S, Hall M, Ribisl K, Capraro V. Motivations, barriers, and communication recommendations for promoting face coverings during the COVID-19 pandemic: Survey findings from a diverse sample. PLOS ONE 2021;16(5):e0251169 View
  21. Osmanlliu E, Rafie E, Bédard S, Paquette J, Gore G, Pomey M. Considerations for the Design and Implementation of COVID-19 Contact Tracing Apps: Scoping Review. JMIR mHealth and uHealth 2021;9(6):e27102 View
  22. O'Connell J, Abbas M, Beecham S, Buckley J, Chochlov M, Fitzgerald B, Glynn L, Johnson K, Laffey J, McNicholas B, Nuseibeh B, O'Callaghan M, O'Keeffe I, Razzaq A, Rekanar K, Richardson I, Simpkin A, Storni C, Tsvyatkova D, Walsh J, Welsh T, O'Keeffe D. Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature. JMIR mHealth and uHealth 2021;9(6):e27753 View
  23. Wang Q, Su M, Zhang M, Li R. Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare. International Journal of Environmental Research and Public Health 2021;18(11):6053 View
  24. Li T, Cobb C, Yang J, Baviskar S, Agarwal Y, Li B, Bauer L, Hong J. What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention. Pervasive and Mobile Computing 2021;75:101439 View
  25. Blacklow S, Lisker S, Ng M, Sarkar U, Lyles C. Usability, inclusivity, and content evaluation of COVID-19 contact tracing apps in the United States. Journal of the American Medical Informatics Association 2021;28(9):1982 View
  26. Chung S, Marlow S, Tobias N, Alogna A, Alogna I, You S, Khunti K, McKee M, Michie S, Pillay D. Lessons from countries implementing find, test, trace, isolation and support policies in the rapid response of the COVID-19 pandemic: a systematic review. BMJ Open 2021;11(7):e047832 View
  27. Keren F, Siddiquei A, Anwar M, Asmi F, Ye Q. What Explains Natives and Sojourners Preventive Health Behavior in a Pandemic: Role of Media and Scientific Self-Efficacy. Frontiers in Psychology 2021;12 View
  28. Chen X, Ang A, Lee J, Wong J, Seng N, Ong G, Khader M. Identifying the Public’s Psychological Concerns in Response to COVID-19 Risk Messages in Singapore. Journal of International Crisis and Risk Communication Research 2021;4(2):271 View
  29. große Deters F, Meier T, Milek A, Horn A. Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps: Empirical Study. Journal of Medical Internet Research 2021;23(8):e29268 View
  30. Vogel E, Henriksen L, Schleicher N, Prochaska J. Perceived Susceptibility to and Seriousness of COVID-19: Associations of Risk Perceptions with Changes in Smoking Behavior. International Journal of Environmental Research and Public Health 2021;18(14):7621 View
  31. Huang J, Kwan M, Kim J. How Culture and Sociopolitical Tensions Might Influence People’s Acceptance of COVID-19 Control Measures That Use Individual-Level Georeferenced Data. ISPRS International Journal of Geo-Information 2021;10(7):490 View
  32. Shoji M, Ito A, Cato S, Iida T, Ishida K, Katsumata H, McElwain K. Does Prosociality Boost the Uptake of COVID-19 Contact Tracing Apps? Survey Evidence of Generational Differences in Japan (Preprint). JMIR mHealth and uHealth 2021 View
  33. Villius Zetterholm M, Lin Y, Jokela P. Digital Contact Tracing Applications during COVID-19: A Scoping Review about Public Acceptance. Informatics 2021;8(3):48 View
  34. Seberger J, Patil S. Post-COVID Public Health Surveillance and Privacy Expectations in the United States: A Scenario-Based Interview Study (Preprint). JMIR mHealth and uHealth 2021 View
  35. Kim Y, Liu A. Social distancing, trust and post-COVID-19 recovery. Tourism Management 2022;88:104416 View
  36. Trkman M, Popovič A, Trkman P. The impact of perceived crisis severity on intention to use voluntary proximity tracing applications. International Journal of Information Management 2021;61:102395 View
  37. Panchal M, Singh S, Rodriguez-Villegas E. Analysis of the factors affecting the adoption and compliance of the NHS COVID-19 mobile application: a national cross-sectional survey in England. BMJ Open 2021;11(8):e053395 View

Books/Policy Documents

  1. Padyab A, Kävrestad J. ICT Systems Security and Privacy Protection. View