人们的政治观点、感知到的社会规范和个人主义影响了他们对使用个人层面地理参考数据的大流行控制措施的隐私关注和接受程度。

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH International Journal of Health Geographics Pub Date : 2023-12-06 DOI:10.1186/s12942-023-00354-3
Mei-Po Kwan, Jianwei Huang, Zihan Kan
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引用次数: 0

摘要

背景:随着COVID-19大流行成为一场重大的全球卫生危机,世界各国已经采用了许多使用个人层面地理参考数据(例如,人们居住和活动的地点)的COVID-19控制措施。由于这些措施涉及一定的披露风险,并有可能侵犯隐私,因此人们对地理隐私(地点隐私)的担忧最近有所加剧,因此迫切需要了解和解决与使用人们私人地点数据的COVID-19控制措施相关的地理隐私问题。方法:我们在6个研究区域(n = 4260)进行了一项国际横断面调查,研究人们的政治观点、感知的社会规范和个人主义如何影响他们对隐私的关注、感知的社会利益,以及对使用个人层面地理参考数据的10种COVID-19控制措施的接受程度。使用多水平线性回归模型来检验这些影响。我们还运用多层结构方程模型(SEMs)探讨了各变量之间的直接、间接和中介效应。结果:我们观察到人们对隐私的关注和对控制措施的接受(以及感知到的社会效益)之间存在权衡关系。人们感知的社会紧密性和纵向个人主义与控制措施的接受度和感知的社会效益呈正相关,而横向个人主义与控制措施的接受度和感知的社会效益呈负相关。此外,政治观点保守和高度个人主义(纵向和横向)的人对隐私的关注程度很高。结论:我们的研究结果首先表明,人们对隐私的担忧显著影响了他们对社会效益的感知和对COVID-19控制措施的接受程度。此外,我们的研究结果还表明,加强社会规范可能会增加人们对控制措施的接受度和感知的社会效益,但可能不会减少人们对隐私的担忧,这可能成为未来大流行期间实施类似控制措施的障碍。最后,人们对隐私的关注往往随着他们的保守主义和个人主义而增加。
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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.

Background: As 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.

Methods: We 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.

Results: We 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.

Conclusions: Our 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.

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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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