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

Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (161) JMIR Theme Issue: COVID-19 Special Issue (2554)

Published on in Vol 8, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35653, first published .
Individual-Level Evaluation of the Exposure Notification Cascade in the SwissCovid Digital Proximity Tracing App: Observational Study

Individual-Level Evaluation of the Exposure Notification Cascade in the SwissCovid Digital Proximity Tracing App: Observational Study

Individual-Level Evaluation of the Exposure Notification Cascade in the SwissCovid Digital Proximity Tracing App: Observational Study

Authors of this article:

Tala Ballouz1 Author Orcid Image ;   Dominik Menges1 Author Orcid Image ;   Hélène E Aschmann1, 2 Author Orcid Image ;   Ruedi Jung1 Author Orcid Image ;   Anja Domenghino1, 3 Author Orcid Image ;   Jan S Fehr1 Author Orcid Image ;   Milo A Puhan1 Author Orcid Image ;   Viktor von Wyl1, 4 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

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  1. Daniore P, Nittas V, Ballouz T, Menges D, Moser A, Höglinger M, Villiger P, Schmitz-Grosz K, Von Wyl V. Performance of the Swiss Digital Contact-Tracing App Over Various SARS-CoV-2 Pandemic Waves: Repeated Cross-sectional Analyses. JMIR Public Health and Surveillance 2022;8(11):e41004 View
  2. Wu M, Li C, Shen Z, He S, Tang L, Zheng J, Fang Y, Li K, Cheng Y, Shi Z, Sheng G, Liu Y, Zhu J, Ye X, Chen J, Chen W, Li L, Sun Y, Chen J. Use of temporal contact graphs to understand the evolution of COVID-19 through contact tracing data. Communications Physics 2022;5(1) View
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  4. Leal Neto O, Von Wyl V. Digital Transformation of Public Health for Noncommunicable Diseases: Narrative Viewpoint of Challenges and Opportunities. JMIR Public Health and Surveillance 2024;10:e49575 View
  5. Chambers T, Anglemyer A, Chen A, Baker M. An evaluation of the COVID-19 self-service digital contact tracing system in New Zealand. Health Policy 2024;144:105073 View
  6. Chambers T, Anglemyer A, Chen A, Atkinson J, Baker M. Population and contact tracer uptake of New Zealand’s QR-code-based digital contact tracing app for COVID-19. Epidemiology and Infection 2024;152 View
  7. Kendall M, Ferretti L, Wymant C, Tsallis D, Petrie J, Di Francia A, Di Lauro F, Abeler-Dörner L, Manley H, Panovska-Griffiths J, Ledda A, Didelot X, Fraser C. Drivers of epidemic dynamics in real time from daily digital COVID-19 measurements. Science 2024;385(6710) View
  8. Chambers T, Anglemyer A, Chen A, Atkinson J, Elers P, Baker M. An evaluation of the population uptake and contact tracer utilisation of the Covid-19 Bluetooth Exposure Notification Framework in New Zealand. Australian and New Zealand Journal of Public Health 2024;48(6):100197 View
  9. Sibiya S, Hurchund R, Omondi B, Owira P. Artificial intelligence for digital healthcare in the low and medium income countries. Health and Technology 2025;15(2):323 View
  10. Quach H, Walsh E, Hoang T, Terrett R, Vogt F. Effectiveness of digital contact tracing interventions for COVID-19: A systematic scoping review. Public Health 2025;242:146 View
  11. Li Y, Ernst K, Pogreba-Brown K, Austhof E, Heslin K, Shilen A, Ram S. An analytical evaluation of contact tracing systems using real-world individual-level data. International Journal of Medical Informatics 2025;203:106020 View
  12. Graakjær Larsen T, Kristine Nørgaard S, Ethelberg S, Grove Krause T, Corn G, Irshad I, Haimes D, Møller F. Performance of the Danish contact tracing smartphone application, Smittestop during a year of the COVID-19 pandemic. Open Research Europe 2025;5:290 View

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  1. Zeinulabdeen Abdulrazzaq A. 2023 6th International Conference on Engineering Technology and its Applications (IICETA). Decision Making Strategy for COVID-19 Risk Minimization Using Data-Driven Model View
  2. Liu X, Song H, Hongxiang B, Wang Y. 2024 International Seminar on Artificial Intelligence, Computer Technology and Control Engineering (ACTCE). Design of Emergency Management Information System Based on Injury Assessment Report View