Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England

Sun, Y., Hu, X. and Xie, J. (2021) Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England. Science of the Total Environment, 758 . ISSN 0048-9697

Full content URL: https://doi.org/10.1016/j.scitotenv.2020.143595

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Item Type:Article
Item Status:Live Archive

Abstract

In this study, we aimed to examine spatial inequalities of COVID-19 mortality rate in relation to spatial inequalities of socioeconomic and environmental factors across England. Specifically, we first explored spatial patterns of COVID-19 mortality rate in comparison to non-COVID-19 mortality rate. Subsequently, we established models to investigate contributions of socioeconomic and environmental factors to spatial variations of COVID-19 mortality rate across England (N = 317). Two newly developed specifications of spatial regression models were established successfully to estimate COVID-19 mortality rate (R2 = 0.49 and R2 = 0.793). The level of spatial inequalities of COVID-19 mortality is higher than that of non-COVID-19 mortality in England. Although global spatial association of COVID-19 mortality and non-COVID-19 mortality is positive, local spatial association of COVID-19 mortality and non-COVID-19 mortality is negative in some areas. Expectedly, hospital accessibility is negatively related to COVID-19 mortality rate. Percent of Asians, percent of Blacks, and unemployment rate are positively related to COVID-19 mortality rate. More importantly, relative humidity is negatively related to COVID-19 mortality rate. Moreover, among the spatial models estimated, the ‘random effects specification of eigenvector spatial filtering model’ outperforms the ‘matrix exponential spatial specification of spatial autoregressive model’.

Additional Information:cited By 20
Keywords:COVID-19 mortality, Spatial disparities, Matrix exponential spatial specification model, Eigenvector spatial filtering model, Socioeconomic disadvantage
Subjects:F Physical Sciences > F810 Environmental Geography
L Social studies > L700 Human and Social Geography
Divisions:College of Science > School of Geography
ID Code:49354
Deposited On:20 May 2022 10:50

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