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日本的自愿封锁。

Japan's voluntary lockdown.

作者信息

Watanabe Tsutomu, Yabu Tomoyoshi

机构信息

Graduate School of Economics, University of Tokyo, Bunkyo, Tokyo, Japan.

Faculty of Business and Commerce, Keio University, Minato, Tokyo, Japan.

出版信息

PLoS One. 2021 Jun 10;16(6):e0252468. doi: 10.1371/journal.pone.0252468. eCollection 2021.

DOI:10.1371/journal.pone.0252468
PMID:34111163
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8191912/
Abstract

Japan's government has taken a number of measures, including declaring a state of emergency, to combat the spread COVID-19. We examine the mechanisms through which the government's policies have led to changes in people's behavior. Using smartphone location data, we construct a daily prefecture-level stay-at-home measure to identify the following two effects: (1) the effect that citizens refrained from going out in line with the government's request, and (2) the effect that government announcements reinforced awareness with regard to the seriousness of the pandemic and people voluntarily refrained from going out. Our main findings are as follows. First, the declaration of the state of emergency reduced the number of people leaving their homes by 8.5% through the first channel, which is of the same order of magnitude as the estimates obtained for lockdowns in the United States. Second, a 1% increase in new infections in a prefecture reduces people's outings in that prefecture by 0.027%. Third, the government's requests are responsible for about one quarter of the decrease in outings in Tokyo, while the remaining three quarters are the result of citizens obtaining new information through government announcements and the daily release of the number of infections. The findings suggest that what mattered for containing the spread of COVID-19 was not strong, legally binding measures but the provision of appropriate information that encouraged people to change their behavior.

摘要

日本政府已采取了一系列措施,包括宣布进入紧急状态,以抗击新冠疫情的传播。我们研究了政府政策导致人们行为改变的机制。利用智能手机定位数据,我们构建了一个县级每日居家措施,以识别以下两种影响:(1)公民按照政府要求避免外出的影响,以及(2)政府公告增强了人们对疫情严重性的认识,人们自愿避免外出的影响。我们的主要研究结果如下。首先,紧急状态声明通过第一个渠道使离家人数减少了8.5%,这与美国封锁措施的估计幅度相当。其次,一个县的新增感染病例增加1%,会使该县的外出人数减少0.027%。第三,政府的要求导致东京外出人数减少约四分之一,而其余四分之三是公民通过政府公告和每日公布的感染人数获得新信息的结果。研究结果表明,遏制新冠疫情传播的关键不是强有力的、具有法律约束力的措施,而是提供鼓励人们改变行为的适当信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2850/8191912/250c42d83482/pone.0252468.g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2850/8191912/148f06e81725/pone.0252468.g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2850/8191912/cbc5e32dca9e/pone.0252468.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2850/8191912/250c42d83482/pone.0252468.g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2850/8191912/250c42d83482/pone.0252468.g008.jpg

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3
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