Evidence map›Paper›PMID 42776993›Full record

ArticlePloS one2026

Discrimination and technology-based disease control.

Marion C Aichberger, Karolina Fetz, Suyi Leong, Heejung S Kim, David K Sherman, Tim S Müller

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Marion C AichbergerFaculty of Humanities and Social Sciences, Berlin Institute for Integration and Migration Research, Humboldt-Universität zu Berlin, Berlin, Germany.
Karolina FetzFaculty of Humanities and Social Sciences, Berlin Institute for Integration and Migration Research, Humboldt-Universität zu Berlin, Berlin, Germany.
Suyi LeongDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, California, United States of America.
Heejung S KimDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, California, United States of America.ORCID https://orcid.org/0000-0001-9132-741X
David K ShermanDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, California, United States of America.
Tim S MüllerFaculty of Humanities and Social Sciences, Berlin Institute for Integration and Migration Research, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-0761-7535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExperiences of ethnic discrimination may undermine compliance with public mitigation policies for disease control, such as Digital Contact Tracing (DCT), through increasing concerns, undermining trust and decreasing solidarity.

methodsAddressing this issue, we collected a web-based quota sample of the German population (N = 700) in September 2020 focusing on public health strategies aimed to curb the spread of SARS-CoV-2.

resultsUsing a series of mediation models employing structural equation modelling we indeed find evidence that discrimination experiences, mediated via privacy concerns and trust in government, negatively predict DCT support and DCT opt-in. Our data, however, do not support the mediating role of solidarity. Additionally, we find that among individuals who were not using DCT, discrimination experiences were negatively associated with people's willingness to participate in DCT in the future. This relationship was mediated by concerns that the government might use DCT against one's ethnic group.

conclusionExperiences of ethnic discrimination can decrease the effectiveness of health policies including respondent-driven tools like DCT, as their support depends strongly on the trust in government. Current and future policies should take ethnic minority concerns into account in order to improve their widespread acceptance.

Indexed as

Contact TracingCOVID-19AdolescentAdultAgedAged, 80 and overDigital TechnologyEmigrants and ImmigrantsEthnicityFemaleGermanyHumansMaleMiddle AgedMobile ApplicationsPrivacy

Identifiers

PMID42776993
PMCPMC13600502

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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.