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影响对新冠病毒风险认知的政策:以地图为例。

Policies to influence perceptions about COVID-19 risk: The case of maps.

作者信息

Engel Claudia, Rodden Jonathan, Tabellini Marco

机构信息

Department of Anthropology, Stanford University, 450 Jane Stanford Way, Stanford, CA 94305, USA.

Department of Political Science, Stanford University, Encina Hall, 616 Serra Street, Stanford, CA 94305, USA.

出版信息

Sci Adv. 2022 Mar 18;8(11):eabm5106. doi: 10.1126/sciadv.abm5106.

DOI:10.1126/sciadv.abm5106
PMID:35302842
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8932671/
Abstract

Choropleth disease maps are often used to inform the public about the risks posed by coronavirus disease 2019 (COVID-19). In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first map reported county-level COVID case counts; the second displayed case rates per 100,000 people. Respondents who saw case rate maps were less likely to perceive COVID as mostly an urban problem and reported higher levels of concerns about the virus. Case rate maps also increased support for policies aimed at mitigating the spread of the virus, although, for this outcome, the effect was quantitatively small and the maps did not change individuals' self-reported behavior. For several outcomes, the impact of the case rate map was strongest for rural residents and self-identified Republicans, both of whom were less worried about the virus and more skeptical about public health measures to mitigate its spread.

摘要

分级统计图通常用于向公众通报2019冠状病毒病(COVID-19)带来的风险。在2020年6月于美国佐治亚州进行的一项调查中,我们随机分配受访者查看两张地图中的一张。第一张地图报告了县级COVID病例数;第二张显示了每10万人的病例率。查看病例率地图的受访者不太可能将COVID视为主要是城市问题,并报告对该病毒的担忧程度更高。病例率地图也增加了对旨在减缓病毒传播的政策的支持,不过,对于这一结果,影响在数量上较小,而且这些地图并未改变个人自我报告的行为。对于几个结果而言,病例率地图对农村居民和自我认定的共和党人的影响最为强烈,这两类人对病毒的担忧都较少,对减缓病毒传播的公共卫生措施也更为怀疑。

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本文引用的文献

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Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic. partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic
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Trustworthy COVID-19 Mapping: Geo-spatial Data Literacy Aspects of Choropleth Maps.
可信的新冠疫情地图绘制:分级统计图的地理空间数据素养方面
KN J Cartogr Geogr Inf. 2020;70(4):155-161. doi: 10.1007/s42489-020-00057-w. Epub 2020 Oct 23.
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