Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23194, first published .
COVID-19 Contact Tracing Apps: A Technologic Tower of Babel and the Gap for International Pandemic Control

COVID-19 Contact Tracing Apps: A Technologic Tower of Babel and the Gap for International Pandemic Control

COVID-19 Contact Tracing Apps: A Technologic Tower of Babel and the Gap for International Pandemic Control

Authors of this article:

Li Du1 Author Orcid Image ;   Vera Lúcia Raposo1, 2 Author Orcid Image ;   Meng Wang1 Author Orcid Image

Journals

  1. Elkhodr M, Mubin O, Iftikhar Z, Masood M, Alsinglawi B, Shahid S, Alnajjar F. Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis. Journal of Medical Internet Research 2021;23(2):e23467 View
  2. 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
  3. Crutzen R. And Justice for All? There Is More to the Interoperability of Contact Tracing Apps Than Legal Barriers. Comment on “COVID-19 Contact Tracing Apps: A Technologic Tower of Babel and the Gap for International Pandemic Control”. JMIR mHealth and uHealth 2021;9(5):e26218 View
  4. Khorram-Manesh A, Dulebenets M, Goniewicz K. Implementing Public Health Strategies—The Need for Educational Initiatives: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(11):5888 View
  5. Ferretti A, Hedrich N, Lovey T, Vayena E, Schlagenhauf P. Mobile apps for travel medicine and ethical considerations: A systematic review. Travel Medicine and Infectious Disease 2021;43:102143 View
  6. Barbieri D, Giuliani E, Del Prete A, Losi A, Villani M, Barbieri A. How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(14):7648 View
  7. 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
  8. Sousa S, Kalju T. Modeling Trust in COVID-19 Contact-Tracing Apps Using the Human-Computer Trust Scale: Online Survey Study. JMIR Human Factors 2022;9(2):e33951 View
  9. Guazzini A, Fiorenza M, Panerai G, Duradoni M. What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic. Future Internet 2021;13(11):286 View
  10. Wong Z, Rigby M. Identifying and addressing digital health risks associated with emergency pandemic response: Problem identification, scoping review, and directions toward evidence-based evaluation. International Journal of Medical Informatics 2022;157:104639 View
  11. Liu M, Zhou S, Jin Q, Nishimura S, Ogihara A. Effectiveness, Policy, and User Acceptance of COVID-19 Contact-Tracing Apps in the Post–COVID-19 Pandemic Era: Experience and Comparative Study. JMIR Public Health and Surveillance 2022;8(10):e40233 View
  12. 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
  13. Lee B, Ibrahim S, Zhang T. Mobile Apps Leveraged in the COVID-19 Pandemic in East and South-East Asia: Review and Content Analysis. JMIR mHealth and uHealth 2021;9(11):e32093 View
  14. McDuie‐Ra D, Robinson D, Gulson K. Pandemic surveillance and mobilities across Sydney, New South Wales. Geographical Research 2023 View
  15. 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
  16. Hamood Alsamhi S, Hawbani A, Shvetsov A, Kumar S, Troussas C. Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications. Advances in Human-Computer Interaction 2023;2023:1 View

Books/Policy Documents

  1. Taipale S, Oinas T. Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance. View
  2. Zakiyyah A, Miranda E, Kumbangsila M, Aryuni M, Richard , Sano A. Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics. View