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
Journals
- Trkman M, Popovič A, Trkman P. The impact of perceived crisis severity on intention to use voluntary proximity tracing applications. International Journal of Information Management 2021;61:102395 View
- Tsvyatkova D, Buckley J, Beecham S, Chochlov M, O’Keeffe I, Razzaq A, Rekanar K, Richardson I, Welsh T, Storni C. Digital Contact Tracing Apps for COVID-19: Development of a Citizen-Centered Evaluation Framework. JMIR mHealth and uHealth 2022;10(3):e30691 View
- Nurgalieva L, Ryan S, Doherty G. Attitudes Towards COVID-19 Contact Tracing Apps: A Cross-National Survey. IEEE Access 2023;11:16509 View
- Walrave M, Waeterloos C, Ponnet K. Reasons for Nonuse, Discontinuation of Use, and Acceptance of Additional Functionalities of a COVID-19 Contact Tracing App: Cross-sectional Survey Study. JMIR Public Health and Surveillance 2022;8(1):e22113 View
- 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
- Magazzino C, Mele M, Coccia M. A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality. Epidemiology and Infection 2022;150 View
- Clark E, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health and Surveillance 2024;10:e49185 View