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

Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Usability of Apps and User Perceptions of mHealth (974)

Published on in Vol 7, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25701, first published .
Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis

Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis

Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis

Authors of this article:

Viktor von Wyl1, 2 Author Orcid Image ;   Marc Höglinger3 Author Orcid Image ;   Chloé Sieber1 Author Orcid Image ;   Marco Kaufmann1 Author Orcid Image ;   André Moser1 Author Orcid Image ;   Miquel Serra-Burriel1 Author Orcid Image ;   Tala Ballouz1 Author Orcid Image ;   Dominik Menges1 Author Orcid Image ;   Anja Frei1 Author Orcid Image ;   Milo Alan Puhan1 Author Orcid Image
Article Authors Cited by (69) Tweetations (2) Metrics

Journals

  1. von Wyl V. Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App. JMIR mHealth and uHealth 2021;9(2):e25345 View
  2. 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
  3. Mancastroppa M, Castellano C, Vezzani A, Burioni R. Stochastic sampling effects favor manual over digital contact tracing. Nature Communications 2021;12(1) View
  4. 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
  5. 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
  6. 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
  7. Dowthwaite L, Fischer J, Perez Vallejos E, Portillo V, Nichele E, Goulden M, McAuley D. Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study. Journal of Medical Internet Research 2021;23(9):e29085 View
  8. Robin R, Dandis A. Business as Usual Through Contact Tracing App: What Influences Users’ Download Intention?. SSRN Electronic Journal 2021 View
  9. 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
  10. Shoji M, Ito A, Cato S, Iida T, Ishida K, Katsumata H, McElwain K. Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan. JMIR mHealth and uHealth 2021;9(8):e29923 View
  11. Burgio G, Steinegger B, Rapisardi G, Arenas A. Homophily in the adoption of digital proximity tracing apps shapes the evolution of epidemics. Physical Review Research 2021;3(3) View
  12. 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
  13. Lueks W, Benzler J, Bogdanov D, Kirchner G, Lucas R, Oliveira R, Preneel B, Salathé M, Troncoso C, von Wyl V. Toward a Common Performance and Effectiveness Terminology for Digital Proximity Tracing Applications. Frontiers in Digital Health 2021;3 View
  14. Ballouz T, Menges D, Aschmann H, Domenghino A, Fehr J, Puhan M, von Wyl V. Adherence and Association of Digital Proximity Tracing App Notifications With Earlier Time to Quarantine: Results From the Zurich SARS-CoV-2 Cohort Study. International Journal of Public Health 2021;66 View
  15. 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
  16. 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
  17. Guillon M. Digital contact-tracing in France: uptake by COVID-19 risk factor and by exposure risk. Journal of Public Health 2022;44(3):e366 View
  18. Huang Z, Guo H, Lim H, Chow A. Determinants of the acceptance and adoption of a digital contact tracing tool during the COVID-19 pandemic in Singapore. Epidemiology and Infection 2022;150 View
  19. Keller S, Salinas A, Oladapo-Shittu O, Cosgrove S, Lewis-Cherry R, Osei P, Gurses A, Jacak R, Zudock K, Blount K, Bowden K, Rock C, Sick-Samuels A, Vecchio-Pagan B. The case for wearable proximity devices to inform physical distancing among healthcare workers. JAMIA Open 2021;4(4) View
  20. Trkman M, Popovič A, Trkman P. The roles of privacy concerns and trust in voluntary use of governmental proximity tracing applications. Government Information Quarterly 2023;40(1):101787 View
  21. Wichmann J, Leyer M. Factors Influencing the Intention of Actors in Hospitals to Use Indoor Positioning Systems: Reasoned Action Approach. Journal of Medical Internet Research 2021;23(10):e28193 View
  22. Ologeanu-Taddei R, Guthrie C, Wamba S. Does Age Matter?. International Journal of Technology and Human Interaction 2022;18(1):1 View
  23. Daniore P, Nittas V, Moser A, Höglinger M, von Wyl V. Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis. JMIR Public Health and Surveillance 2021;7(12):e30004 View
  24. Jiang X, Mohamed A. The insufficiency of the Malaysian contact tracing app from the perspective of Chinese tourists: preparing for international tourism in the post-COVID-19 world. Heliyon 2022;8(12):e12154 View
  25. Walrave M, Waeterloos C, Ponnet K. Reasons for Nonuse, Discontinuation of Use, and Acceptance of Additional Functionalities of a COVID-19 Contact Tracing App: Cross-sectional Survey Study. JMIR Public Health and Surveillance 2022;8(1):e22113 View
  26. Afroogh S, Esmalian A, Mostafavi A, Akbari A, Rasoulkhani K, Esmaeili S, Hajiramezanali E. Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19. Ethics and Information Technology 2022;24(3) View
  27. Dash S, Jain A, Dey L, Dasgupta T, Naskar A. Factors affecting user experience of contact tracing app during COVID-19: an aspect-based sentiment analysis of user-generated review. Behaviour & Information Technology 2023;42(2):249 View
  28. Majeed A, Hwang S. A Comprehensive Analysis of Privacy Protection Techniques Developed for COVID-19 Pandemic. IEEE Access 2021;9:164159 View
  29. 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
  30. Osmanlliu E, Paquette J, Rodriguez Duarte M, Bédard S, de Marcellis-Warin N, Zhegu M, Régis C, Bouthillier M, Grenier A, Lewis P, Pomey M. Public Perspectives on Exposure Notification Apps: A Patient and Citizen Co-Designed Study. Journal of Personalized Medicine 2022;12(5):729 View
  31. Al-Haboubi M, Exley J, Allel K, Erens B, Mays N. One year of digital contact tracing: Who was more likely to install the NHS COVID-19 app? Results from a tracker survey in England and Wales. DIGITAL HEALTH 2023;9 View
  32. 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
  33. Ishimaru T, Ibayashi K, Nagata M, Hino A, Tateishi S, Tsuji M, Ogami A, Matsuda S, Fujino Y, Ando H, Eguchi H, Ikegami K, Ishimaru T, Harada A, Kitagawa K, Mafune K, Matsugaki R, Mori K, Muramatsu K, Nagata T, Liu N, Tanaka R, Tateishi S, Tokutsu K. Industry and workplace characteristics associated with the downloading of a COVID-19 contact tracing app in Japan: a nation-wide cross-sectional study. Environmental Health and Preventive Medicine 2021;26(1) View
  34. Vaudenay S, Vuagnoux M. SwissCovid in the Perspective of Its Goals. Digital Threats: Research and Practice 2022;3(3):1 View
  35. Katusiime J, Tumuhimbise W, Rwambuka Mugyenyi G, Kobutungi P, Mugaba A, Zender R, Pinkwart N, Musiimenta A. The role of mobile health technologies in promoting COVID-19 prevention: A narrative review of intervention effectiveness and adoption. DIGITAL HEALTH 2022;8:205520762211311 View
  36. 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
  37. Rizi A, Faqeeh A, Badie-Modiri A, Kivelä M. Epidemic spreading and digital contact tracing: Effects of heterogeneous mixing and quarantine failures. Physical Review E 2022;105(4) View
  38. Geber S, Ho S. Examining the cultural dimension of contact-tracing app adoption during the COVID-19 pandemic: a cross-country study in Singapore and Switzerland. Information, Communication & Society 2023;26(11):2229 View
  39. Shoji M, Cato S, Ito A, Iida T, Ishida K, Katsumata H, McElwain K. Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan. Social Science & Medicine 2022;306:115142 View
  40. Frimpong J, Helleringer S, Ghozy S. Strategies to increase downloads of COVID–19 exposure notification apps: A discrete choice experiment. PLOS ONE 2021;16(11):e0258945 View
  41. Kaptchuk G, Goldstein D, Hargittai E, Hofman J, Redmiles E. How Good is Good Enough? Quantifying the Impact of Benefits, Accuracy, and Privacy on Willingness to Adopt COVID-19 Decision Aids. Digital Threats: Research and Practice 2022;3(3):1 View
  42. Buhr L, Schicktanz S, Nordmeyer E. Attitudes Toward Mobile Apps for Pandemic Research Among Smartphone Users in Germany: National Survey. JMIR mHealth and uHealth 2022;10(1):e31857 View
  43. Daniore P, Nittas V, Ballouz T, Menges D, Moser A, Höglinger M, Villiger P, Schmitz-Grosz K, Von Wyl V. Performance of the Swiss Digital Contact-Tracing App Over Various SARS-CoV-2 Pandemic Waves: Repeated Cross-sectional Analyses. JMIR Public Health and Surveillance 2022;8(11):e41004 View
  44. Chen S, Tran K, Xia Z, Waseem D, Zhang J, Potdar B. The double-edged effects of data privacy practices on customer responses. International Journal of Information Management 2023;69:102600 View
  45. Robin R, Dandis A. Business as usual through contact tracing app: what influences intention to download?. Journal of Marketing Management 2021;37(17-18):1903 View
  46. 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
  47. Silva D, Anteneodo C, Ferreira S. Epidemic outbreaks with adaptive prevention on complex networks. Communications in Nonlinear Science and Numerical Simulation 2023;116:106877 View
  48. Zhang Z, Vaghefi I. Continued Use of Contact-Tracing Apps in the United States and the United Kingdom: Insights From a Comparative Study Through the Lens of the Health Belief Model. JMIR Formative Research 2022;6(12):e40302 View
  49. Bürzle O, Menges D, Maier J, Schams D, Puhan M, Fehr J, Ballouz T, Frei A. Adverse effects, perceptions and attitudes related to BNT162b2, mRNA-1273 or JNJ-78436735 SARS-CoV-2 vaccines: Population-based cohort. npj Vaccines 2023;8(1) View
  50. Salathé M. COVID-19 digital contact tracing worked — heed the lessons for future pandemics. Nature 2023;619(7968):31 View
  51. Adibi S. The mPOC Framework: An Autonomous Outbreak Prediction and Monitoring Platform Based on Wearable IoMT Approach. Future Internet 2023;15(8):257 View
  52. Priyansyah R, Fuady I, Pratamawaty B. Factors influencing acceptance of Indonesian contact tracing APP: Development of the technology acceptance model. Human Technology 2023;19(2):262 View
  53. Daniore P, Moser A, Höglinger M, Probst Hensch N, Imboden M, Vermes T, Keidel D, Bochud M, Ortega Herrero N, Baggio S, Chocano-Bedoya P, Rodondi N, Tancredi S, Wagner C, Cullati S, Stringhini S, Gonseth Nusslé S, Veys-Takeuchi C, Zuppinger C, Harju E, Michel G, Frank I, Kahlert C, Albanese E, Crivelli L, Levati S, Amati R, Kaufmann M, Geigges M, Ballouz T, Frei A, Fehr J, von Wyl V. Interplay of Digital Proximity App Use and SARS-CoV-2 Vaccine Uptake in Switzerland: Analysis of Two Population-Based Cohort Studies. International Journal of Public Health 2023;68 View
  54. 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
  55. Fox G, van der Werff L, Rosati P, Lynn T. Investigating Citizens’ Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy. JMIR mHealth and uHealth 2024;12:e48700 View
  56. 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
  57. Urbano V, Bartolomucci F, Azzone G. Determinants for university students’ location data sharing with public institutions during COVID-19: The Italian case. Data & Policy 2024;6 View
  58. Kurokawa H, Sasaki S, Ohtake F. The role of nudge-based messages on the acceptability and download of COVID-19 contact tracing apps: survey experiments. The Japanese Economic Review 2024 View
  59. 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
  60. Meng X, Li Y, He Q. Pathos or logos? How governance legitimacy perception influences individual privacy trade-offs during COVID-19 pandemic. Humanities and Social Sciences Communications 2024;11(1) View
  61. 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
  62. 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
  63. Ojokoh B, Aribisala B, Sarumi O, Igbe T, Afolayan A, Gabriel A, Taiwo A, Omisore O, Chukwuocha U, Babalola O, Adebayo T. Curtailing the spread of COVID-19 in Nigeria using digital framework and data driven approaches. EngMedicine 2024;1(2):100026 View
  64. 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. Criddle I, Hardy A, Smith G, Ranck T, Mondal M, Page X. Human-Computer Interaction. User Experience and Behavior. View
  2. Taipale S, Oinas T. Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance. View
  3. Çetin E, Özen H. Integrity, Transparency and Corruption in Healthcare & Research on Health, Volume II. View
  4. Fischer F. Covid-19 pandisziplinär und international. View