• 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

城市人口外流?利用Meta-脸书数据了解新冠疫情期间英国的人口流动情况。

Urban exodus? Understanding human mobility in Britain during the COVID-19 pandemic using Meta-Facebook data.

作者信息

Rowe Francisco, Calafiore Alessia, Arribas-Bel Daniel, Samardzhiev Krasen, Fleischmann Martin

机构信息

Department of Geography and Planning University of Liverpool Liverpool UK.

Edinburgh College of Art University of Edinburgh Edinburgh Scotland UK.

出版信息

Popul Space Place. 2023 Jan;29(1):e2637. doi: 10.1002/psp.2637. Epub 2022 Dec 7.

DOI:10.1002/psp.2637
PMID:36718419
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9877951/
Abstract

Existing empirical work has focused on assessing the effectiveness of nonpharmaceutical interventions on human mobility to contain the spread of COVID-19. Less is known about the ways in which the COVID-19 pandemic has reshaped the spatial patterns of population movement within countries. Anecdotal evidence of an urban exodus from large cities to rural areas emerged during early phases of the pandemic across western societies. Yet, these claims have not been empirically assessed. Traditional data sources, such as censuses offer coarse temporal frequency to analyse population movement over infrequent time intervals. Drawing on a data set of 21 million observations from Meta-Facebook users, we aim to analyse the extent and evolution of changes in the spatial patterns of population movement across the rural-urban continuum in Britain over an 18-month period from March 2020 to August 2021. Our findings show an overall and sustained decline in population movement during periods of high stringency measures, with the most densely populated areas reporting the largest reductions. During these periods, we also find evidence of higher-than-average mobility from high-density population areas to low-density areas, lending some support to claims of large-scale population movements from large cities. Yet, we show that these trends were temporary. Overall mobility levels trended back to precoronavirus levels after the easing of nonpharmaceutical interventions. Following these interventions, we found a reduction in movement to low-density areas and a rise in mobility to high-density agglomerations. Overall, these findings reveal that while COVID-19 generated shock waves leading to temporary changes in the patterns of population movement in Britain, the resulting vibrations have not significantly reshaped the prevalent structures in the national pattern of population movement. As of 2021, internal population movements sit at an intermediate level between those observed pre- and early phases of the pandemic.

摘要

现有的实证研究主要集中在评估非药物干预措施对人员流动的有效性,以遏制新冠疫情的传播。对于新冠疫情如何重塑各国国内人口流动的空间模式,我们了解得较少。在疫情早期,西方社会出现了从大城市向农村地区的城市人口外流的传闻证据。然而,这些说法尚未得到实证评估。传统数据源,如人口普查,提供的时间频率较粗,难以分析不频繁时间间隔内的人口流动情况。利用来自Meta-Facebook用户的2100万条观测数据集,我们旨在分析2020年3月至2021年8月这18个月期间,英国城乡连续体中人口流动空间模式变化的程度和演变。我们的研究结果表明,在严格措施实施期间,人口流动总体持续下降,人口最密集地区的降幅最大。在这些时期,我们还发现有证据表明,从高密度人口地区到低密度地区的流动性高于平均水平,这为大城市大规模人口流动的说法提供了一些支持。然而,我们表明这些趋势是暂时的。在非药物干预措施放宽后,总体流动水平趋于回到新冠疫情前的水平。在这些干预措施之后,我们发现流向低密度地区的流动减少,而流向高密度集聚区的流动增加。总体而言,这些研究结果表明,虽然新冠疫情产生了冲击波,导致英国人口流动模式出现暂时变化,但由此产生的波动并未显著重塑全国人口流动模式中的普遍结构。截至2021年,国内人口流动处于疫情前和疫情早期观测到的水平之间的中间水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86cf/9877951/dfb3af21b48f/PSP-29-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86cf/9877951/914e8a08a828/PSP-29-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86cf/9877951/41f883755973/PSP-29-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86cf/9877951/82dc8165d581/PSP-29-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86cf/9877951/dfb3af21b48f/PSP-29-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86cf/9877951/914e8a08a828/PSP-29-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86cf/9877951/41f883755973/PSP-29-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86cf/9877951/82dc8165d581/PSP-29-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86cf/9877951/dfb3af21b48f/PSP-29-0-g003.jpg

相似文献

1
Urban exodus? Understanding human mobility in Britain during the COVID-19 pandemic using Meta-Facebook data.城市人口外流?利用Meta-脸书数据了解新冠疫情期间英国的人口流动情况。
Popul Space Place. 2023 Jan;29(1):e2637. doi: 10.1002/psp.2637. Epub 2022 Dec 7.
2
Understanding patterns of internal migration during the COVID-19 pandemic in Spain.了解西班牙新冠疫情期间的国内人口迁移模式。
Popul Space Place. 2022 Aug;28(6):e2578. doi: 10.1002/psp.2578. Epub 2022 Jun 16.
3
Associations between changes in population mobility in response to the COVID-19 pandemic and socioeconomic factors at the city level in China and country level worldwide: a retrospective, observational study.应对 COVID-19 大流行期间人口流动变化与中国城市层面和全球国家层面社会经济因素的关联:一项回顾性观察研究。
Lancet Digit Health. 2021 Jun;3(6):e349-e359. doi: 10.1016/S2589-7500(21)00059-5.
4
Mobility in China, 2020: a tale of four phases.《2020年中国的流动性:四个阶段的故事》
Natl Sci Rev. 2021 Aug 16;8(11):nwab148. doi: 10.1093/nsr/nwab148. eCollection 2021 Nov.
5
Convergence in Mobility Data Sets From Apple, Google, and Meta.苹果、谷歌和 Meta 的移动数据集中的趋同。
JMIR Public Health Surveill. 2023 Jun 22;9:e44286. doi: 10.2196/44286.
6
Rural revival? The rise in internal migration to rural areas during the COVID-19 pandemic. Who moved and Where?乡村振兴?新冠疫情期间向农村地区的国内移民增加。哪些人迁移了以及迁移到了哪里?
J Rural Stud. 2022 Dec;96:332-342. doi: 10.1016/j.jrurstud.2022.11.006. Epub 2022 Nov 21.
7
The effect of population mobility on COVID-19 incidence in 314 Latin American cities: a longitudinal ecological study with mobile phone location data.人口流动对 314 个拉丁美洲城市 COVID-19 发病率的影响:基于手机定位数据的纵向生态学研究。
Lancet Digit Health. 2021 Nov;3(11):e716-e722. doi: 10.1016/S2589-7500(21)00174-6. Epub 2021 Aug 26.
8
Population disruption: estimating changes in population distribution of the UK during the COVID-19 pandemic.人口变动:估算新冠疫情期间英国人口分布的变化
medRxiv. 2022 Aug 12:2021.06.22.21259336. doi: 10.1101/2021.06.22.21259336.
9
Domestic and international mobility trends in the United Kingdom during the COVID-19 pandemic: an analysis of facebook data.英国在 COVID-19 大流行期间的国内外流动趋势:对脸书数据的分析。
Int J Health Geogr. 2021 Dec 4;20(1):46. doi: 10.1186/s12942-021-00299-5.
10
Using volunteered geographic information to assess mobility in the early phases of the COVID-19 pandemic: a cross-city time series analysis of 41 cities in 22 countries from March 2nd to 26th 2020.利用志愿者地理信息评估 COVID-19 大流行早期阶段的流动性:2020 年 3 月 2 日至 26 日 22 个国家 41 个城市的跨城市时间序列分析。
Global Health. 2020 Sep 23;16(1):85. doi: 10.1186/s12992-020-00598-9.

引用本文的文献

1
A research agenda for GIScience in a time of disruptions.颠覆时代下的地理信息科学研究议程
Int J Geogr Inf Sci. 2025 Jan;39(1):1-24. doi: 10.1080/13658816.2024.2405191. Epub 2024 Sep 29.
2
Challenges in the mathematical modeling of the spatial diffusion of SARS-CoV-2 in Chile.智利SARS-CoV-2空间扩散数学建模中的挑战。
Math Biosci Eng. 2025 May 27;22(7):1680-1721. doi: 10.3934/mbe.2025062.
3
Mobility of Erasmus+ students in Europe: Geolocated individual and aggregate mobility flows from 2014 to 2022.伊拉斯谟+计划学生在欧洲的流动情况:2014年至2022年按地理位置定位的个人和总体流动趋势

本文引用的文献

1
Critical Commentary: Cities in a post-COVID world.批判性评论:后新冠时代的城市
Urban Stud. 2023 Jun;60(8):1509-1531. doi: 10.1177/00420980211018072. Epub 2021 Jun 27.
2
Rural revival? The rise in internal migration to rural areas during the COVID-19 pandemic. Who moved and Where?乡村振兴?新冠疫情期间向农村地区的国内移民增加。哪些人迁移了以及迁移到了哪里?
J Rural Stud. 2022 Dec;96:332-342. doi: 10.1016/j.jrurstud.2022.11.006. Epub 2022 Nov 21.
3
Understanding patterns of internal migration during the COVID-19 pandemic in Spain.
Sci Data. 2025 Mar 24;12(1):489. doi: 10.1038/s41597-025-04789-0.
4
Change in address in electronic health records as an early marker of homelessness.电子健康记录中的地址变更作为无家可归的早期指标。
PLoS One. 2025 Mar 10;20(3):e0318552. doi: 10.1371/journal.pone.0318552. eCollection 2025.
5
Human mobility and the infectious disease transmission: A systematic review.人类流动性与传染病传播:一项系统综述。
Geo Spat Inf Sci. 2024;27(6):1824-1851. doi: 10.1080/10095020.2023.2275619. Epub 2023 Nov 29.
6
How working from home reshapes cities.远程办公如何重塑城市。
Proc Natl Acad Sci U S A. 2024 Nov 5;121(45):e2408930121. doi: 10.1073/pnas.2408930121. Epub 2024 Oct 29.
7
The "15-Minute City" Concept in the Context of the COVID-19 Pandemic and Climate Change.新冠疫情与气候变化背景下的“15分钟城市”概念
J Urban Health. 2024 Aug;101(4):669-671. doi: 10.1007/s11524-024-00897-1. Epub 2024 Jul 18.
8
The social stratification of internal migration and daily mobility during the COVID-19 pandemic.新冠疫情期间的国内迁移和日常流动的社会分层。
Sci Rep. 2024 May 27;14(1):12140. doi: 10.1038/s41598-024-63098-5.
9
An early warning precision public health approach for assessing COVID-19 vulnerability in the UK: the Moore-Hill Vulnerability Index (MHVI).一种用于评估英国 COVID-19 脆弱性的早期预警精准公共卫生方法:摩尔-希尔脆弱性指数(MHVI)。
BMC Public Health. 2023 Nov 2;23(1):2147. doi: 10.1186/s12889-023-17092-7.
10
COVID-19, Cities and Inequality.新冠疫情、城市与不平等
Appl Geogr. 2023 Nov;160. doi: 10.1016/j.apgeog.2023.103059. Epub 2023 Sep 26.
了解西班牙新冠疫情期间的国内人口迁移模式。
Popul Space Place. 2022 Aug;28(6):e2578. doi: 10.1002/psp.2578. Epub 2022 Jun 16.
4
The impact of the COVID-19 pandemic on internal migration in Germany: A descriptive analysis.新冠疫情对德国国内人口迁移的影响:描述性分析
Popul Space Place. 2022 Aug;28(6):e2566. doi: 10.1002/psp.2566. Epub 2022 Mar 29.
5
Open data products-A framework for creating valuable analysis ready data.开放数据产品——创建有价值的可供分析的数据的框架。
J Geogr Syst. 2021;23(4):497-514. doi: 10.1007/s10109-021-00363-5. Epub 2021 Oct 20.
6
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics.微出行如何因应新冠疫情而发生变化?基于时空语义分析的案例研究。
Comput Environ Urban Syst. 2021 Nov;90:101703. doi: 10.1016/j.compenvurbsys.2021.101703. Epub 2021 Aug 19.
7
COVID-19 and migration: A research note on the effects of COVID-19 on internal migration rates and patterns in Japan.新冠疫情与移民:关于新冠疫情对日本国内移民率及模式影响的研究简报
Popul Space Place. 2021 Aug;27(6):e2499. doi: 10.1002/psp.2499. Epub 2021 Jul 6.
8
Detecting behavioural changes in human movement to inform the spatial scale of interventions against COVID-19.检测人类运动行为的变化,以确定针对 COVID-19 干预措施的空间尺度。
PLoS Comput Biol. 2021 Jul 12;17(7):e1009162. doi: 10.1371/journal.pcbi.1009162. eCollection 2021 Jul.
9
A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker).一个全球性的大流行病政策面板数据库(牛津 COVID-19 政府应对追踪器)。
Nat Hum Behav. 2021 Apr;5(4):529-538. doi: 10.1038/s41562-021-01079-8. Epub 2021 Mar 8.
10
Reduction in mobility and COVID-19 transmission.减少流动性和 COVID-19 的传播。
Nat Commun. 2021 Feb 17;12(1):1090. doi: 10.1038/s41467-021-21358-2.