Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23362, first published .
Barriers to the Large-Scale Adoption of a COVID-19 Contact Tracing App in Germany: Survey Study

Barriers to the Large-Scale Adoption of a COVID-19 Contact Tracing App in Germany: Survey Study

Barriers to the Large-Scale Adoption of a COVID-19 Contact Tracing App in Germany: Survey Study

Journals

  1. 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
  2. Fast V, Schnurr D. Incentivizing Data Donations and the Adoption of COVID-19 Contact-Tracing Apps: A Randomized Controlled Online Experiment on the German Corona-Warn-App. SSRN Electronic Journal 2021 View
  3. Al-Shaikh A, Mahafzah B, Alshraideh M. RETRACTED ARTICLE: Hybrid harmony search algorithm for social network contact tracing of COVID-19. Soft Computing 2023;27(6):3343 View
  4. Touzani R, Schultz E, Holmes S, Vandentorren S, Arwidson P, Guillemin F, Rey D, Rouquette A, Bouhnik A, Mancini J. Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey. JMIR mHealth and uHealth 2021;9(7):e27768 View
  5. 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
  6. 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
  7. O’Callaghan M, Abbas M, Buckley J, Fitzgerald B, Johnson K, Laffey J, McNicholas B, Nuseibeh B, O’Keeffe D, Beecham S, Razzaq A, Rekanar K, Richardson I, Simpkin A, O’Connell J, Storni C, Tsvyatkova D, Walsh J, Welsh T, Glynn L. Public opinion of the Irish “COVID Tracker” digital contact tracing App: A national survey. DIGITAL HEALTH 2022;8:205520762210850 View
  8. Nurgalieva L, Ryan S, Doherty G. Attitudes Towards COVID-19 Contact Tracing Apps: A Cross-National Survey. IEEE Access 2023;11:16509 View
  9. 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
  10. Pozo-Martin F, Beltran Sanchez M, Müller S, Diaconu V, Weil K, El Bcheraoui C. Comparative effectiveness of contact tracing interventions in the context of the COVID-19 pandemic: a systematic review. European Journal of Epidemiology 2023;38(3):243 View
  11. Distel B, Koelmann H, Plattfaut R, Becker J. Watch who you trust! A structured literature review to build a typology of e-government risks. Information Systems and e-Business Management 2022;20(4):789 View
  12. Urban M. „Die Hoffnung, informiert zu sein“. Effekte der Corona-Warn-App. Prävention und Gesundheitsförderung 2022;17(2):128 View
  13. Kulyk O, Britton-Steele L, Paja E, Duckert M, Barkhuus L. #34;You have been in Close Contact with a Person Infected with COVID-19 and you may have been Infected#34;. Proceedings of the ACM on Human-Computer Interaction 2022;6(MHCI):1 View
  14. Cornesse C, Gonzalez Ocanto M, Fikel M, Friedel S, Krieger U, Rettig T, Blom A. Measurement instruments for fast and frequent data collection during the early phase of COVID-19 in Germany: reflections on the Mannheim Corona Study. Measurement Instruments for the Social Sciences 2022;4(1) View
  15. 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
  16. Prakash A, Das S, Pillai K. Understanding digital contact tracing app continuance: Insights from India. Health Policy and Technology 2021;10(4):100573 View
  17. Prakash A, Das S. Explaining citizens’ resistance to use digital contact tracing apps: A mixed-methods study. International Journal of Information Management 2022;63:102468 View
  18. 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
  19. 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
  20. Lin-Hi N, Haensse L, Hollands L, Blumberg I. The role of ethics in technology acceptance: analysing resistance to new health technologies on the example of a COVID-19 contact-tracing app. Journal of Decision Systems 2024;33(1):164 View
  21. 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
  22. Al Knawy B, McKillop M, Abduljawad J, Tarkoma S, Adil M, Schaper L, Chee A, Bates D, Klag M, Lee U, Kozlakidis Z, Crooks G, Rhee K. Successfully Implementing Digital Health to Ensure Future Global Health Security During Pandemics. JAMA Network Open 2022;5(2):e220214 View
  23. Scholl A, Sassenberg K. How Identification With the Social Environment and With the Government Guide the Use of the Official COVID-19 Contact Tracing App: Three Quantitative Survey Studies. JMIR mHealth and uHealth 2021;9(11):e28146 View
  24. Niwa M, Lim Y, Sengoku S, Kodama K. A Layered Adopter-Structure Model for the Download of COVID-19 Contact Tracing Apps: A System Dynamics Study for mHealth Penetration. International Journal of Environmental Research and Public Health 2022;19(7):4331 View
  25. 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
  26. Jansen-Kosterink S, Hurmuz M, den Ouden M, van Velsen L. Predictors to Use Mobile Apps for Monitoring COVID-19 Symptoms and Contact Tracing: Survey Among Dutch Citizens. JMIR Formative Research 2021;5(12):e28416 View
  27. 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
  28. 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
  29. Cornesse C, Krieger U, Sohnius M, Fikel M, Friedel S, Rettig T, Wenz A, Juhl S, Lehrer R, Möhring K, Naumann E, Reifenscheid M, Blom A. From German Internet Panel to Mannheim Corona Study: Adaptable probability-based online panel infrastructures during the pandemic. Journal of the Royal Statistical Society Series A: Statistics in Society 2022;185(3):773 View
  30. 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
  31. Helmschrott S, Anand K, Zhou S, Schmidt T. The value of data privacy during the COVID-19 pandemic: a new set of survey questions. Measurement Instruments for the Social Sciences 2022;4(1) View
  32. 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
  33. Ussai S, Pistis M, Missoni E, Formenti B, Armocida B, Pedrazzi T, Castelli F, Monasta L, Lauria B, Mariani I. “Immuni” and the National Health System: Lessons Learnt from the COVID-19 Digital Contact Tracing in Italy. International Journal of Environmental Research and Public Health 2022;19(12):7529 View
  34. 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
  35. Quialheiro A, Miranda A, Garcia Jr M, Carvalho A, Costa P, Correia-Neves M, Santos N. Promoting Digital Proficiency and Health Literacy in Middle-aged and Older Adults Through Mobile Devices With the Workshops for Online Technological Inclusion (OITO) Project: Experimental Study. JMIR Formative Research 2023;7:e41873 View
  36. Toch E, Ayalon O. How Mass surveillance Crowds Out Installations of COVID-19 Contact Tracing Applications. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW1):1 View
  37. 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
  38. Kim S, Stollmann J. Home Alone: Negotiating Domestic Life by Young Urban Solo Dwellers in Berlin and Seoul During the COVID-19 Pandemic 1. Home Cultures 2023:1 View
  39. Louw C. Digital Public Health Solutions in Response to the COVID-19 Pandemic: Comparative Analysis of Contact Tracing Solutions Deployed in Japan and Germany. Journal of Medical Internet Research 2023;25:e44966 View
  40. Silberberg B, Young C, Bag S, Moreira C, Norton S, Wells J, Shaban R. Socioeconomic disadvantage and engagement with digital contact tracing for COVID-19 in Western Sydney: A secondary analysis of surveillance data. Australian and New Zealand Journal of Public Health 2023;47(5):100087 View
  41. 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
  42. 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
  43. Touzani R, Dembele E, Schultz E, Rouquette A, Seguin L, Dufour J, Bannier M, Mancini J. The French General Population’s Perception of New Information and Communication Technologies for Medical Consultations: National Survey. Journal of Medical Internet Research 2023;25:e45822 View
  44. Sadeghi A, Pape S, Harborth D. The Impact of Individuals’ Social Environments on Contact Tracing App Use: Survey Study. JMIR Human Factors 2023;10:e45825 View
  45. Smits M, Back N, Ebbers W. Responsible design and implementation of technologies for the prevention of infectious diseases: towards a values-based assessment framework for the Dutch government. Public Health 2023;222:29 View
  46. 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
  47. Ter Haar W, Bosdriesz J, Venekamp R, Schuit E, van den Hof S, Ebbers W, Kretzschmar M, Kluijtmans J, Moons C, Schim van der Loeff M, Matser A, van de Wijgert J, Tizzoni M. The epidemiological impact of digital and manual contact tracing on the SARS-CoV-2 epidemic in the Netherlands: Empirical evidence. PLOS Digital Health 2023;2(12):e0000396 View
  48. 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
  49. Feng Y, Stenger B, Zhang S. Post-Pandemic Data Privacy: Contextual Acceptance of COVID-19 Mitigation Mobile Applications in the US (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Dong C, Bharambe S, Bick M. Information Systems. View
  2. Ogoh G, Akintoye S, Eke D, Leach T, Ochang P, Owoseni A, Oyeniji O, Stahl B. Values for a Post-Pandemic Future. View
  3. Bennett Gayle D, Yuan X, Dubois E, Knight T. Social Vulnerability to COVID-19. View
  4. Niwa M. Mobile Health (mHealth). View
  5. Fischer F. Covid-19 pandisziplinär und international. View
  6. Schmidt F. (Vor)Sorge und (Un)Gleichheiten in pandemischen Zeiten. View