Published on in Vol 7, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25701, first published .
Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis

Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis

Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis

Journals

  1. von Wyl V. Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App. JMIR mHealth and uHealth 2021;9(2):e25345 View
  2. Bente B, van 't Klooster J, Schreijer M, Berkemeier L, van Gend J, Slijkhuis P, Kelders S, van Gemert-Pijnen J. The Dutch COVID-19 Contact Tracing App (the CoronaMelder): Usability Study. JMIR Formative Research 2021;5(3):e27882 View
  3. Mancastroppa M, Castellano C, Vezzani A, Burioni R. Stochastic sampling effects favor manual over digital contact tracing. Nature Communications 2021;12(1) View
  4. 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
  5. Kahnbach L, Lehr D, Brandenburger J, Mallwitz T, Jent S, Hannibal S, Funk B, Janneck M. Quality and adoption of COVID-19 tracing apps, with recommendations for development: A systematic, interdisciplinary review of European national apps (Preprint). Journal of Medical Internet Research 2021 View