Evidence map›Paper›PMID 34548550›Full record

ArticleScientific reports2021

Psychological factors shaping public responses to COVID-19 digital contact tracing technologies in Germany.

Anastasia Kozyreva, Philipp Lorenz-Spreen, Stephan Lewandowsky, Paul M Garrett, Stefan M Herzog, Thorsten Pachur, Ralph Hertwig

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  7. Observational
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  10. High Acceptance of COVID-19 Tracing Technologies in Taiwan: A Nationally Representative Survey Analysis.International journal of environmental research and public health · 2022
    Article
  11. Article
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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

7 authors.

Anastasia KozyrevaCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany. kozyreva@mpib-berlin.mpg.de.
Philipp Lorenz-SpreenCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
Stephan LewandowskySchool of Psychological Science, University of Bristol, Bristol, UK.
Paul M GarrettMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia.
Stefan M HerzogCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
Thorsten PachurCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
Ralph HertwigCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has seen one of the first large-scale uses of digital contact tracing to track a chain of infection and contain the spread of a virus. The new technology has posed challenges both for governments aiming at high and effective uptake and for citizens weighing its benefits (e.g., protecting others' health) against the potential risks (e.g., loss of data privacy). Our cross-sectional survey with repeated measures across four samples in Germany ([Formula: see text]) focused on psychological factors contributing to the public adoption of digital contact tracing. We found that public acceptance of privacy-encroaching measures (e.g., granting the government emergency access to people's medical records or location tracking data) decreased over the course of the pandemic. Intentions to use contact tracing apps-hypothetical ones or the Corona-Warn-App launched in Germany in June 2020-were high. Users and non-users of the Corona-Warn-App differed in their assessment of its risks and benefits, in their knowledge of the underlying technology, and in their reasons to download or not to download the app. Trust in the app's perceived security and belief in its effectiveness emerged as psychological factors playing a key role in its adoption. We incorporate our findings into a behavioral framework for digital contact tracing and provide policy recommendations.

Indexed as

Contact TracingPerceptionAdultAgedCOVID-19Cross-Sectional StudiesFemaleGermanyHumansLogistic ModelsMaleMiddle AgedMobile ApplicationsPandemicsPrivacyPublic Health

Identifiers

PMID34548550
PMCPMC8455538

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.