Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at, first published .
Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps

Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps

Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps


  1. 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
  2. Röbbelen A, Schmieding M, Kopka M, Balzer F, Feufel M. Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial. JMIR Public Health and Surveillance 2022;8(4):e33733 View
  3. Fan Y, Wang Z, Deng S, Lv H, Wang F. The function and quality of individual epidemic prevention and control apps during the COVID-19 pandemic: A systematic review of Chinese apps. International Journal of Medical Informatics 2022;160:104694 View
  4. Folkvord F, Peschke L, Ağca Y, van Houten K, Stazi G, Lupiáñez-Villanueva F. Preferences in the Willingness to Download a COVID-19 Contact Tracing App in the Netherlands and Turkey: Experimental Study. JMIR Formative Research 2022;6(7):e37891 View
  5. Ozkaramanli D, Karahanoğlu A, Verbeek P. Reflecting on Design Methods and Democratic Technology Development: The Case of Dutch Covid-19 Digital Contact-Tracing Application. She Ji: The Journal of Design, Economics, and Innovation 2022;8(2):244 View
  6. Tiirinki H, Viita-aho M, Tynkkynen L, Sovala M, Jormanainen V, Keskimäki I. COVID-19 in Finland: Vaccination strategy as part of the wider governing of the pandemic. Health Policy and Technology 2022;11(2):100631 View
  7. 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
  8. 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
  9. 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
  10. Mendi O, Kiymac Sari M, Stoyanov S, Mendi B. Development and validation of the Turkish version of the Mobile App Rating Scale – MARS-TR. International Journal of Medical Informatics 2022;166:104843 View
  11. Tomczyk S. Appsolutely secure? Psychometric properties of the German version of an app information privacy concerns measure during COVID-19. Frontiers in Psychology 2022;13 View
  12. Ni L, Liu W, Huang Y, Pan M. Technology Adoption and Promotion in the Age of Skepticism: Examining COVID-19 Mitigation through Technological and Human Factors. Journal of Promotion Management 2023;29(7):905 View
  13. O'Donnell C, Macdonald S, Browne S, Albanese A, Blane D, Ibbotson T, Laidlaw L, Heaney D, Lowe D. Widening or narrowing inequalities? The equity implications of digital tools to support COVID‐19 contact tracing: A qualitative study. Health Expectations 2022;25(6):2851 View
  14. Ong A, Chuenyindee T, Prasetyo Y, Nadlifatin R, Persada S, Gumasing M, German J, Robas K, Young M, Sittiwatethanasiri T. Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand “ThaiChana”. International Journal of Environmental Research and Public Health 2022;19(10):6111 View
  15. 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
  16. Scrivano N, Gulino R, Giansanti D. Digital Contact Tracing and COVID-19: Design, Deployment, and Current Use in Italy. Healthcare 2021;10(1):67 View
  17. Verpaalen I, Holland R, Ritter S, van Hooff M, Ebbers W, Hooft L, Metting E, van der Laan L. Resistance to contact tracing applications: The implementation process in a social context. Computers in Human Behavior 2022;134:107299 View
  18. Mäkivierikko A, Siepelmeyer H, Shahrokni H, Enarsson D, Kordas O. Reducing electricity peak loads through ‘pause hours’ - a community-based behavioural demand response approach. Journal of Cleaner Production 2023;408:137064 View
  19. 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
  20. Baron R, Hamdiui N, Helms Y, Crutzen R, Götz H, Stein M. Evaluating the Added Value of Digital Contact Tracing Support Tools for Citizens: Framework Development. JMIR Research Protocols 2023;12:e44728 View
  21. Xu R, Shi L, Shi Z, Li T, Wang D. Investigating Individuals’ Preferences in Determining the Functions of Smartphone Apps for Fighting Pandemics: Best-Worst Scaling Survey Study. Journal of Medical Internet Research 2023;25:e48308 View
  22. Kowalewski M, Utz C, Degeling M, Schnitzler T, Herbert F, Schaewitz L, Farke F, Becker S, Dürmuth M. 52 Weeks Later: Attitudes Towards COVID-19 Apps for Different Purposes Over Time. Proceedings of the ACM on Human-Computer Interaction 2023;7(CSCW2):1 View
  23. Peschke L, Gyftopoulos S, Kapusuzoğlu A, Folkvord F, Gümüş Ağca Y, Kaldoudi E, Drosatos G, Ceylan N, Pecchia L, Güneş Peschke S. Practices of Knowledge Exchange in the Context of the COVID-19 Pandemic. Journal of the Knowledge Economy 2023 View
  24. Dolezel M, Smutny Z. Adoption of a COVID-19 Contact Tracing App by Czech Youth: Cross-Cultural Replication Study. JMIR Human Factors 2023;10:e45481 View
  25. Cherini R, Detke R, Fraire J, Madoery P, Finochietto J. Toward Deep Digital Contact Tracing: Opportunities and Challenges. IEEE Pervasive Computing 2023;22(4):15 View
  26. Holl F, Schobel J, Swoboda W. Mobile Apps for COVID-19: A Systematic Review of Reviews. Healthcare 2024;12(2):139 View
  27. Liu P, Wang L, Wang F. Evaluation of Chinese HIV Mobile Apps by Researchers and Patients With HIV: Quality Evaluation Study. JMIR mHealth and uHealth 2024;12:e52573 View

Books/Policy Documents

  1. Farrelly G, Trabelsi H, Cocosila M. A New Era of Consumer Behavior - In and Beyond the Pandemic. View