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

Proposals (eHealth) (86) Outbreak and Pandemic Preparedness and Management (1826) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (161) New Methods (1134) Surveillance Systems (514) Innovative Methods in Public Health and Surveillance (383) Infectious Diseases (non-STD/STI) (1725) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44728, first published .
Evaluating the Added Value of Digital Contact Tracing Support Tools for Citizens: Framework Development

Evaluating the Added Value of Digital Contact Tracing Support Tools for Citizens: Framework Development

Evaluating the Added Value of Digital Contact Tracing Support Tools for Citizens: Framework Development

Authors of this article:

Ruth Baron1 Author Orcid Image ;   Nora Hamdiui1 Author Orcid Image ;   Yannick B Helms1 Author Orcid Image ;   Rik Crutzen2 Author Orcid Image ;   Hannelore M Götz3, 4 Author Orcid Image ;   Mart L Stein1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Günther D, Holz M, Judkewitz B, Möllering H, Pinkas B, Schneider T, Suresh A. Privacy-Preserving Epidemiological Modeling on Mobile Graphs. IEEE Transactions on Information Forensics and Security 2025;20:3088 View