Community Boosts Immunity? Exploring the Relationship Between Social Capital and COVID-19 Social Distancing.

IF 1.1 Q3 DEMOGRAPHY Spatial Demography Pub Date : 2022-01-01 Epub Date: 2021-10-04 DOI:10.1007/s40980-021-00096-5
Joseph Gibbons, Tse-Chuan Yang, Eyal Oren
{"title":"Community Boosts Immunity? Exploring the Relationship Between Social Capital and COVID-19 Social Distancing.","authors":"Joseph Gibbons,&nbsp;Tse-Chuan Yang,&nbsp;Eyal Oren","doi":"10.1007/s40980-021-00096-5","DOIUrl":null,"url":null,"abstract":"<p><p>The early stages of the COVID-19 pandemic required a dramatic change in social practices, including distancing from social settings, to limit its spread. While social capital has considerable potential in facilitating the adoption of these norms, it also comes with considerable limitations that potentially undermine its effectiveness. We draw upon recently released mobility data from Google, network data from Facebook, and demographic data from the 2018 American Community Survey to determine how both organizational and networked measures of social capital relate to different forms of distancing. In addition, we employ geographically weighted regression to identify how these relationships vary across the nation. Findings indicate that while both forms of social capital can positively relate to distancing, the impacts are spatially inconsistent and, in some locations, social capital can discourage distancing. In sum, more policy efforts are needed to address not only low-social capital, but also unhelpful social capital.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"10 1","pages":"75-105"},"PeriodicalIF":1.1000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489173/pdf/","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spatial Demography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40980-021-00096-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/10/4 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 3

Abstract

The early stages of the COVID-19 pandemic required a dramatic change in social practices, including distancing from social settings, to limit its spread. While social capital has considerable potential in facilitating the adoption of these norms, it also comes with considerable limitations that potentially undermine its effectiveness. We draw upon recently released mobility data from Google, network data from Facebook, and demographic data from the 2018 American Community Survey to determine how both organizational and networked measures of social capital relate to different forms of distancing. In addition, we employ geographically weighted regression to identify how these relationships vary across the nation. Findings indicate that while both forms of social capital can positively relate to distancing, the impacts are spatially inconsistent and, in some locations, social capital can discourage distancing. In sum, more policy efforts are needed to address not only low-social capital, but also unhelpful social capital.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
社区提高免疫力?探讨社会资本与COVID-19社会距离的关系
在COVID-19大流行的早期阶段,社会实践需要发生巨大变化,包括与社会环境保持距离,以限制其传播。虽然社会资本在促进采用这些规范方面具有相当大的潜力,但它也有相当大的局限性,可能会破坏其有效性。我们利用谷歌最近发布的流动性数据、Facebook的网络数据和2018年美国社区调查的人口统计数据,来确定社会资本的组织和网络指标与不同形式的距离之间的关系。此外,我们采用地理加权回归来确定这些关系在全国范围内的变化。研究结果表明,虽然两种形式的社会资本都与距离呈正相关,但其影响在空间上是不一致的,在某些地区,社会资本会阻碍距离。总之,不仅需要更多的政策努力来解决低社会资本问题,而且需要更多的政策努力来解决无益的社会资本问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Spatial Demography
Spatial Demography DEMOGRAPHY-
自引率
0.00%
发文量
12
期刊介绍: Spatial Demography focuses on understanding the spatial and spatiotemporal dimension of demographic processes.  More specifically, the journal is interested in submissions that include the innovative use and adoption of spatial concepts, geospatial data, spatial technologies, and spatial analytic methods that further our understanding of demographic and policy-related related questions. The journal publishes both substantive and methodological papers from across the discipline of demography and its related fields (including economics, geography, sociology, anthropology, environmental science) and in applications ranging from local to global scale. In addition to research articles the journal will consider for publication review essays, book reviews, and reports/reviews on data, software, and instructional resources.
期刊最新文献
Geospatial Analysis of the Socioeconomic and Demographic Effects of Historic Coal Mining in the Greater Pittsburgh Region, Pennsylvania, USA Spatial Proximity of Regional Socio-Economic and Demographic Characteristics and Its Spillover Effects on Spousal Violence Against Women in Indian Context Bayesian Multivariate Spatial Modelling of Risky Sexual Behaviour Among Young People in Nigeria The Local Regression Approach as a Tool to Improve Place-Based Policies: The Case of Molise (Southern Italy) Correction: An Example of Combining Expert Judgment and Small Area Projection Methods: Forecasting for Water District Needs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1