ArticleSpatial and spatio-temporal epidemiology2023
Spatiotemporal pattern of COVID-19 mortality and its relationship with socioeconomic and environmental factors in England.
Article in Spatial and spatio-temporal epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Exploring Spatially Varying Associations of COVID-19 Rates with Contextual Socioeconomic, Health, and Environmental Factors under Partial Population Coverage of Vaccination: A Retrospective Ecological Study in Georgia, USA.Prevention science : the official journal of the Society for Prevention Research · 2025Article
- Geospatial modelling of COVID19 mortality in Oman using geographically weighted Poisson regression GWPR.Scientific reports · 2025Article
- Unravelling demographic and socioeconomic patterns of COVID-19 death and other causes of death: results of an individual-level analysis of exhaustive cause of death data in Belgium, 2020.Archives of public health = Archives belges de sante publique · 2024Article
- Social determinants of spatial inequalities in COVID-19 outcomes across England: A multiscale geographically weighted regression analysis.SSM - population health · 2024Article
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Abstract
This paper investigated the spatiotemporal pattern of COVID-19 mortality and its socioeconomic and environmental determinants in the first and second wave of the pandemic in England. The COVID-19 mortality rates for middle super output areas from March 2020 to April 2021 were used in the analysis. SaTScan was used in the analysis of spatiotemporal pattern of COVID-19 mortality and geographically weighted Poisson regression (GWPR) was used to investigate the association with socioeconomic and environmental factors. The results show that there was significant spatiotemporal variation in hotspots of COVID-19 deaths with the hotspots moving from regions where the COVID-19 outbreak initiated and then spread to other parts of the country. The GWPR analysis revealed that age composition, ethnic composition, deprivation, care home and pollution were all related to COVID-19 mortality. Althoughthe relationship varied over space the association with these factors was fairly consistent over the first and second wave.
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