Evidence map›Paper›PMID 33967396›Full record

ArticleEthik in der Medizin : Organ der Akademie fur Ethik in der Medizin2021

[On the ethics of corona apps].

Philippe van Basshuysen, Lucie White

Abstract readEnglish Abstract
In one paragraph

Article in Ethik in der Medizin : Organ der Akademie fur Ethik in der Medizin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Philippe van BasshuysenInstitut für Philosophie, Leibniz Universität Hannover, Im Moore 21, 30167 Hannover, Deutschland.ORCID 0000-0003-1947-9309
Lucie WhiteInstitut für Philosophie, Leibniz Universität Hannover, Im Moore 21, 30167 Hannover, Deutschland.ORCID 0000-0001-8292-3789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Definition of the problem: In spring 2020, as much of the world was emerging from widespread "lockdowns" as an emergency measure to combat the spread of SARS-CoV‑2, there was sustained discussion about how to lift measures while preventing further waves of the virus and the need for further lockdowns. One strategy that attracted significant attention was the use of digital contact-tracing apps to quickly alert users of possible exposure to the virus, and to direct them into quarantine. The initially high expectations placed upon this strategy were not met-despite the implementation of a digital contact-tracing app in Germany, further restrictions have been placed on the general population in response to further waves of the virus. We consider how digital contact tracing might have been made more effective. Arguments: We argue that there is a conflict between collecting as little data as possible, and more effective epidemic control. In contrast to the "Corona-Warn-App" that was implemented in Germany, an app that stored more information on a central server (a so-called "centralized" app) had the potential to significantly decrease viral spread. We then look at the privacy-based arguments against the centralized storage of information, suggesting that "decentralized" systems have privacy problems of their own. Results: The German debate on digital contact tracing apps was quickly dominated by privacy concerns, to the detriment of other ethical factors such as enhancing potential effectiveness. Furthermore, the potential problems with privacy inherent in decentralized apps were obscured in the discussion. Once we recognize these two aspects, we can see that there is an argument to be made for preferring centralized digital contact-tracing apps.

Indexed as

Contact tracingCorona appsCOVID-19Ethical conflictsPrivacyPublic health

Identifiers

PMID33967396
PMCPMC8086970

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.