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

Theme Issue: Apps for COVID-19 (#Apps4Covid) (133) JMIR Theme Issue: COVID-19 Special Issue (2391) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362)

Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23250, first published .
State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review

State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review

State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review

Authors of this article:

Katarzyna Kolasa1 Author Orcid Image ;   Francesca Mazzi2, 3 Author Orcid Image ;   Ewa Leszczuk-Czubkowska4 Author Orcid Image ;   Zsombor Zrubka5, 6 Author Orcid Image ;   Márta Péntek5 Author Orcid Image
Article Authors Cited by (46) Tweetations (10) Metrics

Journals

  1. Majeed A, Hwang S. A Comprehensive Analysis of Privacy Protection Techniques Developed for COVID-19 Pandemic. IEEE Access 2021;9:164159 View
  2. Shaw Jr G, Nadkarni D, Phann E, Sielaty R, Ledenyi M, Abnowf R, Xu Q, Arredondo P, Chen S. Separating Features From Functionality in Vaccination Apps: Computational Analysis. JMIR Formative Research 2022;6(10):e36818 View
  3. Sepas A, Bangash A, Alraoui O, El Emam K, El-Hussuna A. Algorithms to anonymize structured medical and healthcare data: A systematic review. Frontiers in Bioinformatics 2022;2 View
  4. Specht I, Sani K, Loftness B, Hoffman C, Gionet G, Bronson A, Marshall J, Decker C, Bailey L, Siyanbade T, Kemball M, Pickett B, Hanage W, Brown T, Sabeti P, Colubri A. Analyzing the impact of a real-life outbreak simulator on pandemic mitigation: An epidemiological modeling study. Patterns 2022;3(8):100572 View
  5. 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
  6. 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
  7. Cao J, Liu D, Zhang G, Shang M. Reply to Giansanti, D. Why Has Digital Contact Tracing Worked Differently in Different Countries? Comment on “Cao et al. The Impact of Digital Contact Tracing Apps Overuse on Prevention of COVID-19: A Normative Activation Model Perspective. Life 2022, 12, 1371”. Life 2022;12(10):1593 View
  8. Giansanti D. Why Has Digital Contact Tracing Worked Differently in Different Countries? Comment on Cao et al. The Impact of Digital Contact Tracing Apps Overuse on Prevention of COVID-19: A Normative Activation Model Perspective. Life 2022, 12, 1371. Life 2022;12(10):1592 View
  9. 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
  10. 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
  11. Segal C, Lober W, Revere D, Lorigan D, Karras B, Baseman J. Trading-off privacy and utility: the Washington State experience assessing the performance of a public health digital exposure notification system for coronavirus disease 2019. Journal of the American Medical Informatics Association 2022;29(12):2050 View
  12. Giansanti D. The Digital Health: From the Experience of the COVID-19 Pandemic Onwards. Life 2022;12(1):78 View
  13. Sood S, Rawat K, Kumar D. Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace. Telematics and Informatics 2022;69:101796 View
  14. Michael K, Abbas R. What Happens to COVID-19 Data After the Pandemic? Socio-Technical Lessons. IEEE Transactions on Technology and Society 2022;3(4):242 View
  15. Adeboye N, Ogunnusi O, Popoola P. Official statistics: Providing data acumen in the advent and continuous presence of COVID-19. Statistical Journal of the IAOS 2022;38(4):1129 View
  16. 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
  17. 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
  18. Thakur T, Marchang N. PAMDI: Privacy aware missing data inference scheme for sparse mobile crowd sensing. Journal of Ambient Intelligence and Smart Environments 2023;15(1):19 View
  19. Schumacher R, Tsolakis N, Kumar M. Distributed R&D Networks and Healthcare Crises: Data-Driven Supply Chain Design for Resilience. SSRN Electronic Journal 2022 View
  20. Haltaufderheide J, Viero D, Krämer D. Cultural Implications Regarding Privacy in Digital Contact Tracing Algorithms: Method Development and Empirical Ethics Analysis of a German and a Japanese Approach to Contact Tracing. Journal of Medical Internet Research 2023;25:e45112 View
  21. Jiang J, Zheng Z. Personal Information Protection and Privacy Policy Compliance of Health Code Apps in China: Scale Development and Content Analysis. JMIR mHealth and uHealth 2023;11:e48714 View
  22. Barbarossa C, Patrizi M, Vernuccio M, Carmen Di Poce M, Pastore A. The resistance toward COVID-19 contact tracing apps: A study of psychological reactance among young adults in Italy. Health Policy 2023;136:104881 View
  23. 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
  24. Holl F, Schobel J, Swoboda W. Mobile Apps for COVID-19: A Systematic Review of Reviews. Healthcare 2024;12(2):139 View
  25. Zrubka Z, Champion A, Holtorf A, Di Bidino R, Earla J, Boltyenkov A, Tabata-Kelly M, Asche C, Burrell A. The PICOTS-ComTeC Framework for Defining Digital Health Interventions: An ISPOR Special Interest Group Report. Value in Health 2024;27(4):383 View
  26. Tazi F, Nandakumar A, Dykstra J, Rajivan P, Das S. SoK: Analyzing Privacy and Security of Healthcare Data from the User Perspective. ACM Transactions on Computing for Healthcare 2024;5(2):1 View
  27. Cruz S, Lu C, Ulloa M, Redding A, Hester J, Jacobs M. Perceptions of Wearable Health Tools Post the COVID-19 Emergency in Low-Income Latin Communities: Qualitative Study. JMIR mHealth and uHealth 2024;12:e50826 View
  28. 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
  29. Madan A, Bansal G, Chamola V, Tipper D. Enhancing Infectious Disease Outbreak Surveillance via Bidirectional Contact Tracing. IEEE Sensors Journal 2024;24(13):21409 View

Books/Policy Documents

  1. Mazzi F, Taddeo M, Floridi L. The Ethics of Artificial Intelligence for the Sustainable Development Goals. View
  2. Yilmaz I, Saleem R. Digital Authoritarianism and its Religious Legitimization. View
  3. Yilmaz I, Yang F. Digital Authoritarianism and its Religious Legitimization. View
  4. Yuan X, Bennett Gayle D, Jung E, Dadson Y. HCI International 2023 – Late Breaking Papers. View