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COVID-19 Mortality in English Neighborhoods: The Relative Role of Socioeconomic and Environmental Factors

机译:Covid-19英语邻居死亡率:社会经济和环境因素的相对作用

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Factors underlying neighborhood variation in COVID-19 mortality are important to assess in order to prioritize resourcing and policy intervention. As well as characteristics of area populations, such as health status and ethnic mix, it is important to assess the role of more specifically environmental variables (e.g., air quality, green space access). The analysis of this study focuses on neighborhood mortality variations during the first wave of the COVID-19 epidemic in England against a range of postulated area risk factors, both socio-demographic and environmental. We assess mortality gradients across levels of each risk factor and use regression methods to control for multicollinearity and spatially correlated unobserved risks. An analysis of spatial clustering is based on relative mortality risks estimated from the regression. We find mortality gradients in most risk factors showing appreciable differences in COVID mortality risk between English neighborhoods. A regression analysis shows that after allowing for health deprivation, ethnic mix, and ethnic segregation, environment (especially air quality) is an important influence on COVID mortality. Hence, environmental influences on COVID mortality risk in the UK first wave are substantial, after allowing for socio-demographic factors. Spatial clustering of high mortality shows a pronounced metropolitan-rural contrast, reflecting especially ethnic composition and air quality.
机译:Covid-19死亡率的邻域变异的因素对于评估,以便优先考虑资源和政策干预。除了面部种群的特点,如健康状况和民族组合,重要的是评估更具体地说的环境变量(例如,空气质量,绿色空间访问)是很重要的。本研究的分析侧重于英格兰Covid-19流行病的第一波浪潮中的邻域死亡变化,这是社会人口统计和环境的一系列假设区域风险因素。我们评估每个危险因素的层面的死亡率梯度,并利用回归方法来控制多型性和空间相关的不可观察的风险。空间聚类分析基于回归估计的相对死亡率风险。我们在大多数危险因素中发现死亡率梯度,显示出英国社区之间的Covid死亡率风险的明显差异。回归分析表明,在允许健康剥夺,种族混合和种族隔离后,环境(特别是空气质量)是对Covid死亡率的重要影响。因此,在允许社会人口因子之后,英国第一波的Covid死亡率风险的环境影响很大。高死亡率的空间聚类显示了明显的大都会农村对比,反映了尤其是种族构图和空气质量。

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