Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20741, first published .
COVID-19 Contact Tracing Apps: Predicted Uptake in the Netherlands Based on a Discrete Choice Experiment

COVID-19 Contact Tracing Apps: Predicted Uptake in the Netherlands Based on a Discrete Choice Experiment

COVID-19 Contact Tracing Apps: Predicted Uptake in the Netherlands Based on a Discrete Choice Experiment

Journals

  1. Endo A, Leclerc Q, Knight G, Medley G, Atkins K, Funk S, Kucharski A. Implication of backward contact tracing in the presence of overdispersed transmission in COVID-19 outbreaks. Wellcome Open Research 2021;5:239 View
  2. 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
  3. 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
  4. Chorus C, Liebe U, Meyerhoff J. Models of moral decision making: Theory and empirical applications in various domains. Journal of Choice Modelling 2021;39:100280 View
  5. 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
  6. Krauth C, Oedingen C, Bartling T, Dreier M, Spura A, de Bock F, von Rüden U, Betsch C, Korn L, Robra B. Public Preferences for Exit Strategies From COVID-19 Lockdown in Germany—A Discrete Choice Experiment. International Journal of Public Health 2021;66 View
  7. Endo A, Leclerc Q, Knight G, Medley G, Atkins K, Funk S, Kucharski A. Implication of backward contact tracing in the presence of overdispersed transmission in COVID-19 outbreaks. Wellcome Open Research 2021;5:239 View
  8. Sowmiya B, Abhijith V, Sudersan S, Sakthi Jaya Sundar R, Thangavel M, Varalakshmi P. A Survey on Security and Privacy Issues in Contact Tracing Application of Covid-19. SN Computer Science 2021;2(3) View
  9. Craig B. United States COVID-19 Vaccination Preferences (CVP): 2020 Hindsight. The Patient - Patient-Centered Outcomes Research 2021;14(3):309 View
  10. Manipis K, Street D, Cronin P, Viney R, Goodall S. Exploring the Trade-Off Between Economic and Health Outcomes During a Pandemic: A Discrete Choice Experiment of Lockdown Policies in Australia. The Patient - Patient-Centered Outcomes Research 2021;14(3):359 View
  11. 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
  12. DiSantostefano R, Terris-Prestholt F. Using Societal Values to Inform Public Health Policy During the COVID-19 Pandemic: The Role of Health Preference Research. The Patient - Patient-Centered Outcomes Research 2021;14(3):303 View
  13. Daragmeh A, Sági J, Zéman Z. Continuous Intention to Use E-Wallet in the Context of the COVID-19 Pandemic: Integrating the Health Belief Model (HBM) and Technology Continuous Theory (TCT). Journal of Open Innovation: Technology, Market, and Complexity 2021;7(2):132 View
  14. Oyibo K, Sahu K, Oetomo A, Morita P. Factors Influencing the Adoption of Contact Tracing Applications: Protocol for a Systematic Review. JMIR Research Protocols 2021;10(6):e28961 View
  15. 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
  16. 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
  17. 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
  18. 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
  19. Viberg Johansson J, Bentzen H, Shah N, Haraldsdóttir E, Jónsdóttir G, Kaye J, Mascalzoni D, Veldwijk J. Preferences of the Public for Sharing Health Data: Discrete Choice Experiment. JMIR Medical Informatics 2021;9(7):e29614 View
  20. 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
  21. Gasteiger N, Gasteiger C, Vedhara K, Broadbent E. The more the merrier! Barriers and facilitators to the general public’s use of a COVID-19 contact tracing app in New Zealand. Informatics for Health and Social Care 2022;47(2):132 View
  22. 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
  23. Park J, Han J, Kim Y, Rho M. Development, Acceptance, and Concerns Surrounding App-Based Services to Overcome the COVID-19 Outbreak in South Korea: Web-Based Survey Study. JMIR Medical Informatics 2021;9(7):e29315 View
  24. Seberger J, Patil S. Post-COVID Public Health Surveillance and Privacy Expectations in the United States: Scenario-Based Interview Study. JMIR mHealth and uHealth 2021;9(10):e30871 View
  25. Wang Y, Faradiba D, Del Rio Vilas V, Asaria M, Chen Y, Babigumira J, Dabak S, Wee H. The Relative Importance of Vulnerability and Efficiency in COVID-19 Contact Tracing Programmes: A Discrete Choice Experiment. International Journal of Public Health 2022;67 View
  26. Fernandes T, Costa M. Privacy concerns with COVID-19 tracking apps: a privacy calculus approach. Journal of Consumer Marketing 2023;40(2):181 View
  27. Oyibo K, Morita P. Designing Better Exposure Notification Apps: The Role of Persuasive Design. JMIR Public Health and Surveillance 2021;7(11):e28956 View
  28. Huang Z, Guo H, Lim H, Ho K, Tay E, Chow A. The value of social interactions and incentives on the use of a digital contact tracing tool post COVID-19 lockdown in Singapore. Scientific Reports 2022;12(1) View
  29. 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
  30. Yan C, Siddik A, Akter N, Dong Q. Factors influencing the adoption intention of using mobile financial service during the COVID-19 pandemic: the role of FinTech. Environmental Science and Pollution Research 2021;30(22):61271 View
  31. 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
  32. Szinay D, Cameron R, Naughton F, Whitty J, Brown J, Jones A. Understanding Uptake of Digital Health Products: Methodology Tutorial for a Discrete Choice Experiment Using the Bayesian Efficient Design. Journal of Medical Internet Research 2021;23(10):e32365 View
  33. Makili L, Caseiro J, Paulo E, Domingos A, Anapaz A, Severino H. Aplicação para o Rastreio de Contactos de Infectados por Coronavírus em Angola. Revista Angolana de Ciencias 2021;3(2):327 View
  34. Osmanlliu E, Paquette J, Grenier A, Lewis P, Bouthillier M, Bédard S, Pomey M. Fantastic perspectives and where to find them: involving patients and citizens in digital health research. Research Involvement and Engagement 2022;8(1) View
  35. Naous D, Bonner M, Humbert M, Legner C. Learning From the Past to Improve the Future. Business & Information Systems Engineering 2022;64(5):597 View
  36. Centeno J, Vásquez M. Del hype a la desilusión: expectativas sociotécnicas sobre CoronApp en Colombia. Nómadas 2022;(55):177 View
  37. Mühlbacher A, Sadler A, Jordan Y. Population preferences for non-pharmaceutical interventions to control the SARS-CoV-2 pandemic: trade-offs among public health, individual rights, and economics. The European Journal of Health Economics 2022;23(9):1483 View
  38. Gao G, Lang R, Oxoby R, Mourali M, Sheikh H, Fullerton M, Tang T, Manns B, Marshall D, Hu J, Benham J, Pomey M. Drivers of downloading and reasons for not downloading COVID-19 contact tracing and exposure notification apps: A national cross-sectional survey. PLOS ONE 2022;17(7):e0269783 View
  39. 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
  40. Rahimi R, Khoundabi B, fathian A. Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens. International Journal of Medical Informatics 2021;155:104571 View
  41. 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
  42. Oyibo K, Sahu K, Oetomo A, Morita P. Factors Influencing the Adoption of Contact Tracing Applications: Systematic Review and Recommendations. Frontiers in Digital Health 2022;4 View
  43. Zamil A, Ali S, Poulova P, Akbar M. An ounce of prevention or a pound of cure? Multi-level modelling on the antecedents of mobile-wallet adoption and the moderating role of e-WoM during COVID-19. Frontiers in Psychology 2022;13 View
  44. Harborth D, Pape S, McKenzie L. Why Individuals Do (Not) Use Contact Tracing Apps: A Health Belief Model Perspective on the German Corona-Warn-App. Healthcare 2023;11(4):583 View
  45. van der Waal N, de Wit J, Bol N, Ebbers W, Hooft L, Metting E, van der Laan L. Predictors of contact tracing app adoption: Integrating the UTAUT, HBM and contextual factors. Technology in Society 2022;71:102101 View
  46. 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
  47. Ross G. Mass surveillance to fight COVID-19: acceptance of surveillance technologies depends on goal-directed motivation. Journal of Location Based Services 2023;17(1):26 View
  48. Veldwijk J, de Bekker-Grob E, Juhaeri J, van Overbeeke E, Tcherny-Lessenot S, Pinto C, DiSantostefano R, Groothuis-Oudshoorn C. Suitability of Preference Methods Across the Medical Product Lifecycle: A Multicriteria Decision Analysis. Value in Health 2023;26(4):579 View
  49. Filipe L, de Almeida S, Costa E, da Costa J, Lopes F, Santos J, Morrissey K. Trade-offs during the COVID-19 pandemic: A discrete choice experiment about policy preferences in Portugal. PLOS ONE 2022;17(12):e0278526 View
  50. Ali Y, Khan H. A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions. Computer Networks 2023;224:109605 View
  51. Krüger N, Behne A, Beinke J, Stibe A, Teuteberg F. Exploring User Acceptance Determinants of COVID-19-Tracing Apps to Manage the Pandemic. International Journal of Technology and Human Interaction 2021;18(1):1 View
  52. Ross G. I use a COVID-19 contact-tracing app. Do you? Regulatory focus and the intention to engage with contact-tracing technology. International Journal of Information Management Data Insights 2021;1(2):100045 View
  53. Albouy-Llaty M, Martin C, Benamouzig D, Bothorel E, Munier G, Simonin C, Guéant J, Rusch E. Positioning Digital Tracing Applications in the Management of the COVID-19 Pandemic in France. Journal of Medical Internet Research 2021;23(10):e27301 View
  54. Garrett P, White J, Dennis S, Lewandowsky S, Yang C, Okan Y, Perfors A, Little D, Kozyreva A, Lorenz-Spreen P, Kusumi T, Kashima Y. Papers Please - Predictive Factors of National and International Attitudes Toward Immunity and Vaccination Passports: Online Representative Surveys. JMIR Public Health and Surveillance 2022;8(7):e32969 View
  55. Jones K, Thompson R. To Use or Not to Use a COVID-19 Contact Tracing App: Mixed Methods Survey in Wales. JMIR mHealth and uHealth 2021;9(11):e29181 View
  56. Chopdar P. Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator. Health Policy and Technology 2022;11(3):100651 View
  57. 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
  58. Klaver N, van de Klundert J, van den Broek R, Askari M. Relationship Between Perceived Risks of Using mHealth Applications and the Intention to Use Them Among Older Adults in the Netherlands: Cross-sectional Study. JMIR mHealth and uHealth 2021;9(8):e26845 View
  59. Chakraborty D, Siddiqui A, Siddiqui M. Citizen's adoption intention toward contact tracing apps: An analysis using innovation resistance theory. Journal of Public Affairs 2023;23(1) View
  60. 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
  61. 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
  62. 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
  63. Tretiakov A, Hunter I. User Experiences of the NZ COVID Tracer App in New Zealand: Thematic Analysis of Interviews. JMIR mHealth and uHealth 2021;9(9):e26318 View
  64. Peca J, Grimes G, Nasereddin M, Glantz E. A Review of COVID-19 Mobile Contact Tracing Applications and Their Impact on Privacy. International Journal of Interdisciplinary Telecommunications and Networking 2022;14(1):1 View
  65. Ritsema F, Bosdriesz J, Leenstra T, Petrignani M, Coyer L, Schreijer A, van Duijnhoven Y, van de Wijgert J, Schim van der Loeff M, Matser A. Factors Associated With Using the COVID-19 Mobile Contact-Tracing App Among Individuals Diagnosed With SARS-CoV-2 in Amsterdam, the Netherlands: Observational Study. JMIR mHealth and uHealth 2022;10(8):e31099 View
  66. Veldwijk J, DiSantostefano R, Janssen E, Simons G, Englbrecht M, Schölin Bywall K, Radawski C, Raza K, Hauber B, Falahee M. Maximum Acceptable Risk Estimation Based on a Discrete Choice Experiment and a Probabilistic Threshold Technique. The Patient - Patient-Centered Outcomes Research 2023;16(6):641 View
  67. Veldwijk J, van Exel J, de Bekker-Grob E, Mouter N. Public Preferences for Introducing a COVID-19 Certificate: A Discrete Choice Experiment in the Netherlands. Applied Health Economics and Health Policy 2023;21(4):603 View
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  71. El-Toukhy S, Pike J, Zuckerman G, Hegeman P. Decision Trade-Offs in Ecological Momentary Assessments and Digital Wearables Uptake: Protocol for a Discrete Choice Experiment. JMIR Research Protocols 2023;12:e47567 View
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Books/Policy Documents

  1. Taipale S, Oinas T. Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance. View
  2. Negri-Ribalta C, Herbaut N, Salinesi C. Intelligent Information Systems. View
  3. Niwa M. Mobile Health (mHealth). View
  4. Shang L, Chandra Y. Discrete Choice Experiments Using R. View