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Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England

One of the most consistent and worrying features of the COVID-19 pandemic globally has been the disproportionate burden of the epidemic in the most deprived areas. Most of the literature so far though has focused on estimating the extent of these inequalities. There has been much less attention paid...

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Autores principales: Albani, Viviana, Welsh, Claire E., Brown, Heather, Matthews, Fiona E., Bambra, Clare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441468/
https://www.ncbi.nlm.nih.gov/pubmed/36088725
http://dx.doi.org/10.1016/j.socscimed.2022.115319
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author Albani, Viviana
Welsh, Claire E.
Brown, Heather
Matthews, Fiona E.
Bambra, Clare
author_facet Albani, Viviana
Welsh, Claire E.
Brown, Heather
Matthews, Fiona E.
Bambra, Clare
author_sort Albani, Viviana
collection PubMed
description One of the most consistent and worrying features of the COVID-19 pandemic globally has been the disproportionate burden of the epidemic in the most deprived areas. Most of the literature so far though has focused on estimating the extent of these inequalities. There has been much less attention paid to exploring the main pathways underpinning them. In this study, we employ the syndemic pandemic theoretical framework and apply novel decomposition methods to investigate the proportion of the COVID-19 mortality gap by area-level deprivation in England during the first wave of the pandemic (January to July 2020) was accounted for by pre-existing inequalities in the compositional and contextual characteristics of place. We use a decomposition approach to explicitly quantify the independent contribution of four inequalities pathways (vulnerability, susceptibility, exposure and transmission) in explaining the more severe COVID-19 outcomes in the most deprived local authorities compared to the rest. We find that inequalities in transmission (73%) and in vulnerability (49%) factors explained the highest proportion of mortality by deprivation. Our results suggest that public health agencies need to develop short- and long-term strategies to alleviate these underlying inequalities in order to alleviate the more severe impacts on the most vulnerable communities.
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spelling pubmed-94414682022-09-06 Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England Albani, Viviana Welsh, Claire E. Brown, Heather Matthews, Fiona E. Bambra, Clare Soc Sci Med Article One of the most consistent and worrying features of the COVID-19 pandemic globally has been the disproportionate burden of the epidemic in the most deprived areas. Most of the literature so far though has focused on estimating the extent of these inequalities. There has been much less attention paid to exploring the main pathways underpinning them. In this study, we employ the syndemic pandemic theoretical framework and apply novel decomposition methods to investigate the proportion of the COVID-19 mortality gap by area-level deprivation in England during the first wave of the pandemic (January to July 2020) was accounted for by pre-existing inequalities in the compositional and contextual characteristics of place. We use a decomposition approach to explicitly quantify the independent contribution of four inequalities pathways (vulnerability, susceptibility, exposure and transmission) in explaining the more severe COVID-19 outcomes in the most deprived local authorities compared to the rest. We find that inequalities in transmission (73%) and in vulnerability (49%) factors explained the highest proportion of mortality by deprivation. Our results suggest that public health agencies need to develop short- and long-term strategies to alleviate these underlying inequalities in order to alleviate the more severe impacts on the most vulnerable communities. The Authors. Published by Elsevier Ltd. 2022-10 2022-09-05 /pmc/articles/PMC9441468/ /pubmed/36088725 http://dx.doi.org/10.1016/j.socscimed.2022.115319 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Albani, Viviana
Welsh, Claire E.
Brown, Heather
Matthews, Fiona E.
Bambra, Clare
Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England
title Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England
title_full Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England
title_fullStr Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England
title_full_unstemmed Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England
title_short Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England
title_sort explaining the deprivation gap in covid-19 mortality rates: a decomposition analysis of geographical inequalities in england
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441468/
https://www.ncbi.nlm.nih.gov/pubmed/36088725
http://dx.doi.org/10.1016/j.socscimed.2022.115319
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