Evidence map›Paper›PMID 38057819›Full record

ArticleInternational journal of health geographics2023

People's political views, perceived social norms, and individualism shape their privacy concerns for and acceptance of pandemic control measures that use individual-level georeferenced data.

Mei-Po Kwan, Jianwei Huang, Zihan Kan

Abstract read
In one paragraph

Article in International journal of health geographics, 2023. 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. A scoping review and expert consensus on digital determinants of health.Bulletin of the World Health Organization · 2025
    Article
  2. Review
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

3 authors.

Mei-Po KwanDepartment of Geography and Resource Management, Institute of Space and Earth Information Science, and Institute of Future Cities, The Chinese University of Hong Kong, Shatin, Hong Kong, China. mpk654@gmail.com.ORCID 0000-0001-8602-9258
Jianwei HuangInstitute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China.ORCID 0000-0002-2230-3446
Zihan KanDepartment of Geography and Resource Management, Institute of Space and Earth Information Science, and Institute of Future Cities, The Chinese University of Hong Kong, Shatin, Hong Kong, China.ORCID 0000-0002-6364-0537

Funding

University Grants Committee 14605920University Grants Committee 14606922University Grants Committee 14611621University Grants Committee C4023-20GF
6 · The paper itself

Abstract

backgroundAs the COVID-19 pandemic became a major global health crisis, many COVID-19 control measures that use individual-level georeferenced data (e.g., the locations of people's residences and activities) have been used in different countries around the world. Because these measures involve some disclosure risk and have the potential for privacy violations, people's concerns for geoprivacy (locational privacy) have recently heightened as a result, leading to an urgent need to understand and address the geoprivacy issues associated with COVID-19 control measures that use data on people's private locations.

methodsWe conducted an international cross-sectional survey in six study areas (n = 4260) to examine how people's political views, perceived social norms, and individualism shape their privacy concerns, perceived social benefits, and acceptance of ten COVID-19 control measures that use individual-level georeferenced data. Multilevel linear regression models were used to examine these effects. We also applied multilevel structure equation models (SEMs) to explore the direct, indirect, and mediating effects among the variables.

resultsWe observed a tradeoff relationship between people's privacy concerns and the acceptance (and perceived social benefits) of the control measures. People's perceived social tightness and vertical individualism are positively associated with their acceptance and perceived social benefits of the control measures, while horizontal individualism has a negative association. Further, people with conservative political views and high levels of individualism (both vertical and horizontal) have high levels of privacy concerns.

conclusionsOur results first suggest that people's privacy concerns significantly affect their perceived social benefits and acceptance of the COVID-19 control measures. Besides, our results also imply that strengthening social norms may increase people's acceptance and perceived social benefits of the control measures but may not reduce people's privacy concerns, which could be an obstacle to the implementation of similar control measures during future pandemics. Lastly, people's privacy concerns tend to increase with their conservatism and individualism.

Indexed as

COVID-19PrivacyCross-Sectional StudiesHumansPandemicsSocial NormsIndividualismIndividual-level georeferenced dataPolitical viewsPrivacy concernsSocial norms

Identifiers

PMID38057819
PMCPMC10702027

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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.