Without a trace : Why did corona apps fail?

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White, L.; Van Basshuysen, P.: Without a trace : Why did corona apps fail?. In: Journal of Medical Ethics 2021 (2021). DOI: https://doi.org/10.1136/medethics-2020-107061

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/10548

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Sum total of downloads: 108




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Abstract: 
At the beginning of the COVID-19 pandemic, high hopes were put on digital contact tracing, using mobile phone apps to record and immediately notify contacts when a user reports as infected. Such apps can now be downloaded in many countries, but as second waves of COVID-19 are raging, these apps are playing a less important role than anticipated. We argue that this is because most countries have opted for app configurations that cannot provide a means of rapidly informing users of likely infections while avoiding too many false positive reports. Mathematical modelling suggests that differently configured apps have the potential to do this. These require, however, that some pseudonymised data be stored on a central server, which privacy advocates have cautioned against. We contend that their influential arguments are subject to two fallacies. First, they have tended to one-sidedly focus on the risks that centralised data storage entails for privacy, while paying insufficient attention to the fact that inefficient contact tracing involves ethical risks too. Second, while the envisioned system does entail risks of breaches, such risks are also present in decentralised systems, which have been falsely presented as € privacy preserving by design'. When these points are understood, it becomes clear that we must rethink our approach to digital contact tracing in our fight against COVID-19. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
License of this version: CC BY-NC 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Philosophische Fakultät

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 68 62.96%
2 image of flag of United States United States 22 20.37%
3 image of flag of China China 6 5.56%
4 image of flag of Netherlands Netherlands 5 4.63%
5 image of flag of No geo information available No geo information available 3 2.78%
6 image of flag of Ukraine Ukraine 1 0.93%
7 image of flag of Taiwan Taiwan 1 0.93%
8 image of flag of Japan Japan 1 0.93%
9 image of flag of Czech Republic Czech Republic 1 0.93%

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