1
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      When Privacy, Distrust, and Misinformation Cause Worry About Using COVID-19 Contact-Tracing Apps

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references19

          • Record: found
          • Abstract: found
          • Article: found

          A Survey of COVID-19 Contact Tracing Apps

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Ethical guidelines for COVID-19 tracing apps

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Tracking and promoting the usage of a COVID-19 contact tracing app

              Digital contact tracing apps have been introduced globally as an instrument to contain the COVID-19 pandemic. Yet, privacy by design impedes both the evaluation of these tools and the deployment of evidence-based interventions to stimulate uptake. We combine an online panel survey with mobile tracking data to measure the actual usage of Germany's official contact tracing app and reveal higher uptake rates among respondents with an increased risk of severe illness, but lower rates among those with a heightened risk of exposure to COVID-19. Using a randomized intervention, we show that informative and motivational video messages have very limited effect on uptake. However, findings from a second intervention suggest that even small monetary incentives can strongly increase uptake and help make digital contact tracing a more effective tool.
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                IEEE Internet Computing
                IEEE Internet Comput.
                Institute of Electrical and Electronics Engineers (IEEE)
                1089-7801
                1941-0131
                March 1 2023
                March 1 2023
                : 27
                : 2
                : 7-12
                Affiliations
                [1 ]University of Tsukuba, Tokyo, Japan
                [2 ]The University of Hong Kong, Pok Fu Lam, Hong Kong
                [3 ]University of Guam, Mangilao, Guam
                Article
                10.1109/MIC.2022.3225568
                73fc6326-8c49-43a3-89ae-96cf8992b90b
                © 2023

                https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-037

                History

                Comments

                Comment on this article