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 (2388) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Outbreak and Pandemic Preparedness and Management (1673) Infectious Diseases (non-STD/STI) (1478) Security and Privacy of mHealth and uHealth (116) Surveillance Systems (427) Evaluation and Research Methodology for mHealth (193) Innovative Methods in Public Health and Surveillance (305) Participatory Epidemiology and Surveillance (106) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27232, first published .
Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis

Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis

Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis

Authors of this article:

Jan-Patrick Weiß1 Author Orcid Image ;   Moritz Esdar1 Author Orcid Image ;   Ursula Hübner1 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Jan-Patrick Weiß   1 , MSc ;   Moritz Esdar   1 , MA ;   Ursula Hübner   1 , PhD

1 Health Informatics Research Group, Faculty of Business Management and Social Sciences, University of Applied Sciences Osnabrueck, Osnabrück, Germany

Corresponding Author:

  • Ursula Hübner, PhD
  • Health Informatics Research Group
  • Faculty of Business Management and Social Sciences
  • University of Applied Sciences Osnabrueck
  • Caprivistraße 30a
  • Osnabrück
  • Germany
  • Phone: 49 5419692012
  • Email: u.huebner@hs-osnabrueck.de