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Digital contact tracing and exposure notification

Ethical guidance for trustworthy pandemic management

Bibliographic Data

ID21703444
AuthorsRobert Ranisch (0000-0002-1676-1694, University of Tübingen, corresponding author), Niels Nijsingh (0000-0002-5698-3566, Ludwig-Maximilians-Universität München), Angela Ballantyne (0000-0003-2666-9557, National University of Singapore), Anne van Bergen (0000-0002-9965-0374, Ludwig-Maximilians-Universität München), Alena Buyx (0000-0002-5726-7633), Otto Friedrich (0000-0003-1608-175X, FernUniversität in Hagen), Orsolya Friedrich, Tereza Hendl (0000-0002-6472-7028, Ludwig-Maximilians-Universität München), Georg Marckmann (0000-0002-6898-9500, Ludwig-Maximilians-Universität München), Christian Munthe (0000-0003-0761-960X, University of Gothenburg), Verina Wild (0000-0003-3012-7662, Ludwig-Maximilians-Universität München)
Year2021
Volume23
Issue3
Pages285-294
Publication date2021-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEthics and Information Technology (JOURNAL)
Journal identifiersISSN: 1388-1957 • E-ISSN: 1572-8439
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s10676-020-09566-8
PMID33106749
OpenAlexW3093546264
LanguageEN
Citations received9
References cited21

There is growing interest in contact tracing apps (CT apps) for pandemic management. It is crucial to consider ethical requirements before, while, and after implementing such apps. In this paper, we illustrate the complexity and multiplicity of the ethical considerations by presenting an ethical framework for a responsible design and implementation of CT apps. Using this framework as a starting point, we briefly highlight the interconnection of social and political contexts, available measures of pandemic management, and a multi-layer assessment of CT apps. We will discuss some trade-offs that arise from this perspective. We then suggest that public trust is of major importance for population uptake of contact tracing apps. Hasty, ill-prepared or badly communicated implementations of CT apps will likely undermine public trust, and as such, risk impeding general effectiveness

Contact tracing · Internet privacy · Pandemic · Sociology · Trustworthiness · Computer Science · COVID-19 Digital Contact Tracing · Data-Driven Disease Surveillance · Medicine · Privacy, Security, and Data Protection

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Unique citing works9
Citations per year1,8
Citation span2021 - 2024 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 7
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