Americans' perceptions of privacy and surveillance in the COVID-19 pandemic.
Americans' perceptions of privacy and surveillance in the COVID-19 pandemic.
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DOI：
10.1371/journal.pone.0242652
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发表时间：
2020
期刊：
影响因子：
3.7
通讯作者：
McCain RM
中科院分区：
文献类型：
--
作者：
Zhang B;Kreps S;McMurry N;McCain RM
研究美国公众对旨在遏制新冠肺炎传播的监控措施的态度，特别是补充传统接触者追踪的智能手机应用程序。我们对大约2,000名美国成年人进行了一项调查，以衡量他们对九项新冠肺炎监控措施的支持程度。我们通过联合分析实验操纵一个假想的应用程序的六个不同属性，评估了人们对联系人跟踪应用程序的态度。与其他监控措施相比，支持政府鼓励大家下载和使用接触者追踪应用程序的比例较小(42%)，例如强制执行体温检查(62%)、扩大传统接触者追踪(57%)、实施集中隔离(49%)、部署电子设备监控(44%)或实施免疫通行证(44%)。尽管在一系列监控措施上存在党派分歧，但支持政府鼓励数字联系人追踪的民主党人(47%)和共和党人(46%)没有区别，尽管反对这项政策的共和党人(39%)多于民主党人(27%)。在我们的联合分析实验中测试的应用程序功能中，只有一项功能在统计上对自我报告的应用程序下载可能性有显著影响：分散的数据架构使下载可能性增加了5.4个百分点。在美国，公共卫生监督政策遏制新冠肺炎传播的支持率相对较低。与使用集中式数据存储的应用程序相比，使用分散数据存储的接触者追踪应用程序更容易被公众接受。虽然受访者对扩大传统联系人追踪的支持大于他们对政府鼓励公众下载和使用联系人追踪应用的支持，但对后一项政策的支持存在较小的党派差异。
To study the U.S. public’s attitudes toward surveillance measures aimed at curbing the spread of COVID-19, particularly smartphone applications (apps) that supplement traditional contact tracing. We deployed a survey of approximately 2,000 American adults to measure support for nine COVID-19 surveillance measures. We assessed attitudes toward contact tracing apps by manipulating six different attributes of a hypothetical app through a conjoint analysis experiment. A smaller percentage of respondents support the government encouraging everyone to download and use contact tracing apps (42%) compared with other surveillance measures such as enforcing temperature checks (62%), expanding traditional contact tracing (57%), carrying out centralized quarantine (49%), deploying electronic device monitoring (44%), or implementing immunity passes (44%). Despite partisan differences on a range of surveillance measures, support for the government encouraging digital contact tracing is indistinguishable between Democrats (47%) and Republicans (46%), although more Republicans oppose the policy (39%) compared to Democrats (27%). Of the app features we tested in our conjoint analysis experiment, only one had statistically significant effects on the self-reported likelihood of downloading the app: decentralized data architecture increased the likelihood by 5.4 percentage points. Support for public health surveillance policies to curb the spread of COVID-19 is relatively low in the U.S. Contact tracing apps that use decentralized data storage, compared with those that use centralized data storage, are more accepted by the public. While respondents’ support for expanding traditional contact tracing is greater than their support for the government encouraging the public to download and use contact tracing apps, there are smaller partisan differences in support for the latter policy.
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影响因子：
2
作者：
Fischbacher, U;Gächter, S;Fehr, E
通讯作者：
Fehr, E
影响因子：
5.4
作者：
Hainmueller, Jens;Hopkins, Daniel J.;Yamamoto, Teppei
通讯作者：
Yamamoto, Teppei
影响因子：
2.7
作者：
Coppock, Alexander;McClellan, Oliver A.
通讯作者：
McClellan, Oliver A.
影响因子：
12.9
作者：
CATTIN, P;WITTINK, DR
通讯作者：
WITTINK, DR
DOI：
10.1177/109019818801500203
发表时间：
1988-06-01
期刊：
HEALTH EDUCATION QUARTERLY
影响因子：
--
作者：
ROSENSTOCK, IM;STRECHER, VJ;BECKER, MH
通讯作者：
BECKER, MH