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

Sun, Yeran and Hu, Xuke and Xie, Jing (2020) Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England. Science of the Total Environment, p. 143595. Elsevier. doi: 10.1016/j.scitotenv.2020.143595. ISSN 0048-9697.

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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’.

Item URL in elib:https://elib.dlr.de/140287/
Document Type:Article
Title:Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Sun, YeranSwansea UniversityUNSPECIFIED
Hu, XukeXuke.Hu (at) dlr.deUNSPECIFIED
Xie, JingThe University of Hong KongUNSPECIFIED
Date:2020
Journal or Publication Title:Science of the Total Environment
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1016/j.scitotenv.2020.143595
Page Range:p. 143595
Publisher:Elsevier
ISSN:0048-9697
Status:Published
Keywords:COVID-19 mortality, Spatial disparities, Matrix exponential spatial specification model, Eigenvector spatial filtering model, Socioeconomic disadvantage
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Geoscientific remote sensing and GIS methods
Location: Jena
Institutes and Institutions:Institute of Data Science
Institute of Data Science > Citizen Science
Deposited By: Hu, Xuke
Deposited On:14 Jan 2021 13:16
Last Modified:14 Jan 2021 13:16

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