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

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Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England. / Albani, Viviana; Welsh, Claire E.; Brown, Heather et al.
In: Social Science and Medicine, Vol. 311, 115319, 31.10.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Albani V, Welsh CE, Brown H, Matthews F, Bambra C. Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England. Social Science and Medicine. 2022 Oct 31;311:115319. Epub 2022 Sept 8. doi: 10.1016/j.socscimed.2022.115319

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Albani, Viviana ; Welsh, Claire E. ; Brown, Heather et al. / Explaining the deprivation gap in COVID-19 mortality rates : A decomposition analysis of geographical inequalities in England. In: Social Science and Medicine. 2022 ; Vol. 311.

Bibtex

@article{c437996b0ea24d6aa2972133da221683,
title = "Explaining the deprivation gap in COVID-19 mortality rates: A decomposition analysis of geographical inequalities in England",
abstract = "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.",
keywords = "Pandemic, Inequality, COVID-19, Socio-economic, Deprivation",
author = "Viviana Albani and Welsh, {Claire E.} and Heather Brown and Fiona Matthews and Clare Bambra",
year = "2022",
month = oct,
day = "31",
doi = "10.1016/j.socscimed.2022.115319",
language = "English",
volume = "311",
journal = "Social Science and Medicine",
issn = "0277-9536",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Explaining the deprivation gap in COVID-19 mortality rates

T2 - A decomposition analysis of geographical inequalities in England

AU - Albani, Viviana

AU - Welsh, Claire E.

AU - Brown, Heather

AU - Matthews, Fiona

AU - Bambra, Clare

PY - 2022/10/31

Y1 - 2022/10/31

N2 - 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.

AB - 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.

KW - Pandemic

KW - Inequality

KW - COVID-19

KW - Socio-economic

KW - Deprivation

U2 - 10.1016/j.socscimed.2022.115319

DO - 10.1016/j.socscimed.2022.115319

M3 - Journal article

VL - 311

JO - Social Science and Medicine

JF - Social Science and Medicine

SN - 0277-9536

M1 - 115319

ER -