How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia.

How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia.
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在费城新冠肺炎接种率持续较低的社区,教育和种族隔离是如何相互交织的。

DOI:
10.1186/s12889-022-13414-3
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发表时间:
2022-05-25
期刊:
影响因子:
4.5
通讯作者:
Corbin, Theodore J.
Corbin, Theodore J.
中科院分区:
医学2区
文献类型:
--
作者:
Rich, John A.;Miech, Edward J.;Bilal, Usama;Corbin, Theodore J.

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新冠肺炎感染对社会弱势社区的影响不成比例。尽管感染负担不成比例,但这些社区在新冠肺炎疫苗接种方面也落后于人。到目前为止,我们对各种社会条件如何相互交织,才能解释社区新冠肺炎接种率较低的复杂原因知之甚少。我们使用配置比较方法(CCM)研究了费城按社区(以邮政编码列表地区为代表)的新冠肺炎接种率。具体地说,我们确定了2021年3月至2021年5月新冠肺炎接种率(每万人)持续较低的社区。然后,我们评估了不同的社会条件(路径)组合如何将疫苗接种率持续较低的社区与城市中的其他社区区分开来。社会条件包括经济不平等程度、种族隔离、教育、过度拥挤、服务业就业、使用公共交通工具、医疗保险和英语水平有限。有两个因素使新冠肺炎接种率持续较低的社区与众不同:大学教育和集中的种族特权。两个因素的值-低大学教育程度和低/中集中的种族特权-发现社区的新冠肺炎疫苗接种率持续较低,具有高一致性(0.92%)和高覆盖率(0.86%)。不同的教育价值观和集中的种族特权--中等/高等大学教育或高度集中的种族特权--本身就足以解释新冠肺炎接种率不是持续较低的社区,同样具有高一致性(0.93%)和高覆盖率(0.97%)。将CCM与地理空间地图配对可以帮助识别与低新冠肺炎接种率有关的社会条件之间的复杂关系。了解社区条件是如何结合在一起造成社区不平等的,可以为为解决新冠肺炎疫苗接种差距而量身定做的干预措施的设计提供依据。网上版载有补充材料,可在10.1186/s12889-022-13414-3查阅。
COVID-19 infection has disproportionately affected socially disadvantaged neighborhoods. Despite this disproportionate burden of infection, these neighborhoods have also lagged in COVID-19 vaccinations. To date, we have little understanding of the ways that various types of social conditions intersect to explain the complex causes of lower COVID-19 vaccination rates in neighborhoods. We used configurational comparative methods (CCMs) to study COVID-19 vaccination rates in Philadelphia by neighborhood (proxied by zip code tabulation areas). Specifically, we identified neighborhoods where COVID-19 vaccination rates (per 10,000) were persistently low from March 2021 – May 2021. We then assessed how different combinations of social conditions (pathways) uniquely distinguished neighborhoods with persistently low vaccination rates from the other neighborhoods in the city. Social conditions included measures of economic inequities, racial segregation, education, overcrowding, service employment, public transit use, health insurance and limited English proficiency. Two factors consistently distinguished neighborhoods with persistently low COVID-19 vaccination rates from the others: college education and concentrated racial privilege. Two factor values together – low college education AND low/medium concentrated racial privilege – identified persistently low COVID-19 vaccination rates in neighborhoods, with high consistency (0.92) and high coverage (0.86). Different values for education and concentrated racial privilege – medium/high college education OR high concentrated racial privilege – were each sufficient by themselves to explain neighborhoods where COVID-19 vaccination rates were not persistently low, likewise with high consistency (0.93) and high coverage (0.97). Pairing CCMs with geospatial mapping can help identify complex relationships between social conditions linked to low COVID-19 vaccination rates. Understanding how neighborhood conditions combine to create inequities in communities could inform the design of interventions tailored to address COVID-19 vaccination disparities. The online version contains supplementary material available at 10.1186/s12889-022-13414-3.
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