Social capital's impact on COVID-19 outcomes at local levels.

Social capital's impact on COVID-19 outcomes at local levels.
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DOI:
10.1038/s41598-022-10275-z
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发表时间:
2022-04-21
期刊:
影响因子:
4.6
通讯作者:
Aldrich DP
Aldrich DP
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Fraser T;Page-Tan C;Aldrich DP

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在过去的30年里,灾难学者强调,拥有更强大的社会基础设施的社区-包括能够实现信任,互助和集体行动的社会关系-往往能更好地应对危机并从危机中恢复过来。然而,对各社区的社会资本进行全面衡量的情况很少。这项研究将凯恩和奥尔德里奇的(风险危害危机公共政策11,61-86,2020)县级社会资本指数调整到人口普查区水平,在人口普查区,邮政编码和县细分层面生成2011年至2018年的社会资本指数。为了证明它们对灾难规划者、公共卫生专家和地方官员的有用性,我们将这些与CDC的社会脆弱性指数配对,以预测马萨诸塞州、威斯康星州、伊利诺伊州和纽约市的病例研究中COVID-19的发病率。我们发现,社会资本预测了41-49%的COVID-19疫情变化,在特定情况下控制高达90%,突出了其作为诊断和预测工具的力量,以对抗COVID-19的传播。
Over the past thirty years, disaster scholars have highlighted that communities with stronger social infrastructure—including social ties that enable trust, mutual aid, and collective action—tend to respond to and recover better from crises. However, comprehensive measurements of social capital across communities have been rare. This study adapts Kyne and Aldrich’s (Risk Hazards Crisis Public Policy 11, 61–86, 2020) county-level social capital index to the census-tract level, generating social capital indices from 2011 to 2018 at the census-tract, zipcode, and county subdivision levels. To demonstrate their usefulness to disaster planners, public health experts, and local officials, we paired these with the CDC’s Social Vulnerability Index to predict the incidence of COVID-19 in case studies in Massachusetts, Wisconsin, Illinois, and New York City. We found that social capital predicted 41–49% of the variation in COVID-19 outbreaks, and up to 90% with controls in specific cases, highlighting its power as diagnostic and predictive tools for combating the spread of COVID.
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