• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估加泰罗尼亚关闭酒吧和餐馆的政策及其对流动性和 COVID19 发病率的影响。

Evaluating the policy of closing bars and restaurants in Cataluña and its effects on mobility and COVID19 incidence.

机构信息

Barcelona Supercomputing Center (BSC), Life Science, 08034, Barcelona, Spain.

Universidad Complutense Madrid, Madrid, Spain.

出版信息

Sci Rep. 2022 Jun 7;12(1):9132. doi: 10.1038/s41598-022-11531-y.

DOI:10.1038/s41598-022-11531-y
PMID:35672332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9174270/
Abstract

The world has gone through unprecedented changes since the global pandemic hit. During the early phase of the pandemic, the absence of known drugs or pharmaceutical treatments forced governments to introduce different policies in order to help reduce contagion rates and manage the economic consequences of the pandemic. This paper analyses the causal impact on mobility and COVID19 incidence from policy makers in Cataluña, Spain. We use anonymized phone-based mobility data together with reported incidence and apply a series of causal impact models frequently used in econometrics and policy evaluation in order to measure the policies impact. We analyse the case of Cataluña and the public policy decision of closing all bars and restaurants down for a 5 week period between 2020-16-10 and 2020-23-11. We find that this decision led to a significant reduction in mobility. It not only led to reductions in mobility but from a behavioural economics standpoint, we highlight how people responded to the policy decision. Moreover, the policy of closing bars and restaurants slowed the incidence rate of COVID19 after a time lag has been taken into account. These findings are significant since governments worldwide want to restrict movements of people in order to slow down COVID19 incidence without infringing on their rights directly.

摘要

自全球大流行以来,世界发生了前所未有的变化。在大流行的早期阶段,由于缺乏已知的药物或药物治疗方法,各国政府不得不出台不同的政策,以帮助降低传染率并应对大流行的经济后果。本文分析了西班牙加泰罗尼亚地区政策制定者对流动性和 COVID19 发病率的因果影响。我们使用基于匿名电话的移动数据以及报告的发病率,并应用计量经济学和政策评估中常用的一系列因果影响模型,以衡量政策的影响。我们分析了加泰罗尼亚的案例,以及在 2020-16-10 至 2020-23-11 期间关闭所有酒吧和餐馆 5 周的公共政策决定。我们发现,这一决定导致流动性显著减少。它不仅导致流动性减少,而且从行为经济学的角度来看,我们强调了人们对政策决定的反应。此外,考虑到时滞后,关闭酒吧和餐馆的政策减缓了 COVID19 的发病率。这些发现意义重大,因为全球各国政府都希望限制人员流动,以减缓 COVID19 的发病率,而不直接侵犯他们的权利。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/ebf3d9819b40/41598_2022_11531_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/b21e07c388ec/41598_2022_11531_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/07d252858415/41598_2022_11531_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/d763af41bf90/41598_2022_11531_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/cabd178bf344/41598_2022_11531_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/cc94d9e5da48/41598_2022_11531_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/9ba6552561d6/41598_2022_11531_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/50208184b0e9/41598_2022_11531_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/ff7cdb798936/41598_2022_11531_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/4470d95833b9/41598_2022_11531_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/02cd84514a35/41598_2022_11531_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/828318441720/41598_2022_11531_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/305ebe516756/41598_2022_11531_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/8e77102eb173/41598_2022_11531_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/b97dfa78df5e/41598_2022_11531_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/84b62a48bcac/41598_2022_11531_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/ebf3d9819b40/41598_2022_11531_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/b21e07c388ec/41598_2022_11531_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/07d252858415/41598_2022_11531_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/d763af41bf90/41598_2022_11531_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/cabd178bf344/41598_2022_11531_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/cc94d9e5da48/41598_2022_11531_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/9ba6552561d6/41598_2022_11531_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/50208184b0e9/41598_2022_11531_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/ff7cdb798936/41598_2022_11531_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/4470d95833b9/41598_2022_11531_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/02cd84514a35/41598_2022_11531_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/828318441720/41598_2022_11531_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/305ebe516756/41598_2022_11531_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/8e77102eb173/41598_2022_11531_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/b97dfa78df5e/41598_2022_11531_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/84b62a48bcac/41598_2022_11531_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace6/9174270/ebf3d9819b40/41598_2022_11531_Fig16_HTML.jpg

相似文献

1
Evaluating the policy of closing bars and restaurants in Cataluña and its effects on mobility and COVID19 incidence.评估加泰罗尼亚关闭酒吧和餐馆的政策及其对流动性和 COVID19 发病率的影响。
Sci Rep. 2022 Jun 7;12(1):9132. doi: 10.1038/s41598-022-11531-y.
2
The effect of large-scale anti-contagion policies on the COVID-19 pandemic.大规模防疫政策对 COVID-19 大流行的影响。
Nature. 2020 Aug;584(7820):262-267. doi: 10.1038/s41586-020-2404-8. Epub 2020 Jun 8.
3
National identity predicts public health support during a global pandemic.国家认同预测全球大流行期间的公共卫生支持。
Nat Commun. 2022 Jan 26;13(1):517. doi: 10.1038/s41467-021-27668-9.
4
Public health matters: why is Latin America struggling in addressing the pandemic?公共卫生事务:为何拉丁美洲在应对大流行方面举步维艰?
J Public Health Policy. 2021 Mar;42(1):27-40. doi: 10.1057/s41271-020-00269-4. Epub 2021 Jan 28.
5
Assessing COVID-19 pandemic policies and behaviours and their economic and educational trade-offs across US states from Jan 1, 2020, to July 31, 2022: an observational analysis.评估 2020 年 1 月 1 日至 2022 年 7 月 31 日美国各州的 COVID-19 大流行政策和行为及其经济和教育方面的权衡取舍:一项观察性分析。
Lancet. 2023 Apr 22;401(10385):1341-1360. doi: 10.1016/S0140-6736(23)00461-0. Epub 2023 Mar 23.
6
Monitoring the COVID-19 epidemic with nationwide telecommunication data.利用全国电信数据监测新冠疫情。
Proc Natl Acad Sci U S A. 2021 Jun 29;118(26). doi: 10.1073/pnas.2100664118.
7
Are Spaniards Happier When the Bars Are Open? Using Life Satisfaction to Evaluate COVID-19 Non-Pharmaceutical Interventions (NPIs).酒吧营业时西班牙人更快乐吗?用生活满意度评估 COVID-19 非药物干预措施(NPIs)。
Int J Environ Res Public Health. 2021 Sep 24;18(19):10056. doi: 10.3390/ijerph181910056.
8
The Immediate Effect of COVID-19 Policies on Social-Distancing Behavior in the United States.《新冠疫情政策对美国社交隔离行为的即时影响》
Public Health Rep. 2021 Mar-Apr;136(2):245-252. doi: 10.1177/0033354920976575. Epub 2021 Jan 5.
9
COVID-19 Flow-Maps an open geographic information system on COVID-19 and human mobility for Spain.COVID-19 流图——一个针对西班牙 COVID-19 和人类流动性的开放地理信息系统。
Sci Data. 2021 Nov 30;8(1):310. doi: 10.1038/s41597-021-01093-5.
10
The impact of spatial connectivity on NPIs effectiveness.空间连通性对 NPIs 有效性的影响。
BMC Infect Dis. 2024 Jan 2;24(1):21. doi: 10.1186/s12879-023-08900-x.

引用本文的文献

1
Assessing the impact of interregional mobility on COVID19 spread in Spain using transfer entropy.使用转移熵评估区域间人口流动对西班牙新冠疫情传播的影响。
Sci Rep. 2025 Aug 26;15(1):31504. doi: 10.1038/s41598-025-17218-4.
2
An agent based simulation of COVID-19 history in Catalonia using extensive real datasets.使用大量真实数据集对加泰罗尼亚地区新冠肺炎疫情历史进行基于主体的模拟。
Sci Rep. 2024 Dec 30;14(1):31858. doi: 10.1038/s41598-024-83238-1.
3
A mixture of mobility and meteorological data provides a high correlation with COVID-19 growth in an infection-naive population: a study for Spanish provinces.

本文引用的文献

1
Do COVID-19 Policies Affect Mobility Behaviour? Evidence from 75 Canadian and American Cities.新冠疫情政策会影响出行行为吗?来自75个加拿大和美国城市的证据。
Can Public Policy. 2020 Aug 1;46(Suppl 2):S127-S144. doi: 10.3138/cpp.2020-062.
2
Urban density and COVID-19: understanding the US experience.城市密度与新冠疫情:解读美国的情况
Ann Reg Sci. 2022 Nov 28:1-32. doi: 10.1007/s00168-022-01193-z.
3
COVID-19 Flow-Maps an open geographic information system on COVID-19 and human mobility for Spain.COVID-19 流图——一个针对西班牙 COVID-19 和人类流动性的开放地理信息系统。
移动性和气象数据的混合提供了与感染人群中 COVID-19 增长的高度相关性:对西班牙各省的研究。
Front Public Health. 2024 Mar 7;12:1288531. doi: 10.3389/fpubh.2024.1288531. eCollection 2024.
4
Concentric regulatory zones failed to halt surging COVID-19: Brooklyn 2020.同心调控区未能遏制新冠疫情的汹涌蔓延:2020 年布鲁克林。
Front Public Health. 2022 Dec 7;10:970363. doi: 10.3389/fpubh.2022.970363. eCollection 2022.
Sci Data. 2021 Nov 30;8(1):310. doi: 10.1038/s41597-021-01093-5.
4
The impact of non-pharmaceutical interventions on SARS-CoV-2 transmission across 130 countries and territories.非药物干预措施对 130 个国家和地区的 SARS-CoV-2 传播的影响。
BMC Med. 2021 Feb 5;19(1):40. doi: 10.1186/s12916-020-01872-8.
5
The Immediate Effect of COVID-19 Policies on Social-Distancing Behavior in the United States.《新冠疫情政策对美国社交隔离行为的即时影响》
Public Health Rep. 2021 Mar-Apr;136(2):245-252. doi: 10.1177/0033354920976575. Epub 2021 Jan 5.
6
The impact of non-pharmaceutical interventions, demographic, social, and climatic factors on the initial growth rate of COVID-19: A cross-country study.非药物干预、人口、社会和气候因素对 COVID-19 初始增长率的影响:一项跨国研究。
Sci Total Environ. 2021 Mar 15;760:144325. doi: 10.1016/j.scitotenv.2020.144325. Epub 2020 Dec 10.
7
Mobility network models of COVID-19 explain inequities and inform reopening.新冠疫情传播的移动网络模型解释了不平等现象,并为重新开放提供了信息。
Nature. 2021 Jan;589(7840):82-87. doi: 10.1038/s41586-020-2923-3. Epub 2020 Nov 10.
8
Limitations of using mobile phone data to model COVID-19 transmission in the USA.在美国使用手机数据来模拟新冠病毒传播的局限性。
Lancet Infect Dis. 2021 May;21(5):e113. doi: 10.1016/S1473-3099(20)30861-6. Epub 2020 Nov 2.
9
Impact of population density on Covid-19 infected and mortality rate in India.人口密度对印度新冠病毒感染率和死亡率的影响。
Model Earth Syst Environ. 2021;7(1):623-629. doi: 10.1007/s40808-020-00984-7. Epub 2020 Oct 14.
10
The impact of Covid-19, associated behaviours and policies on the UK economy: A computable general equilibrium model.新冠疫情、相关行为及政策对英国经济的影响:一个可计算一般均衡模型
SSM Popul Health. 2020 Dec;12:100651. doi: 10.1016/j.ssmph.2020.100651. Epub 2020 Oct 14.