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 Du 1 Author Orcid Image ;   Vera Lúcia Raposo 1, 2 Author Orcid Image ;   Meng Wang 1 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

Books/Policy Documents

  1. Taipale S, Oinas T. Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance. View