2021
DOI: 10.1038/s41467-021-23935-x
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Community factors and excess mortality in first wave of the COVID-19 pandemic in England

Abstract: Risk factors for increased risk of death from COVID-19 have been identified, but less is known on characteristics that make communities resilient or vulnerable to the mortality impacts of the pandemic. We applied a two-stage Bayesian spatial model to quantify inequalities in excess mortality in people aged 40 years and older at the community level during the first wave of the pandemic in England, March-May 2020 compared with 2015–2019. Here we show that communities with an increased risk of excess mortality ha… Show more

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Cited by 53 publications
(41 citation statements)
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“…We find that the percentage of older adults negatively correlates with per capita mobility (r = −0.29), and thus neglect of demography-specific mortality risk will lead to inaccurate estimation of risk for different age groups. By contrast, our proposed BD model finds differences in mobility behaviors outweighed by the change in IFRs due to age structure and predicts higher mortality risk in communities with higher percentages of older adults, consistent with previous research (24,40). Moreover, communities with lower average household incomes and higher percentages of essential workers are associated with higher levels of mobility, likely following from limitations in their ability to significantly reduce mobility during the pandemic (26,31,32).…”
Section: Behavior and Demography Informed Epidemic Modellingsupporting
confidence: 86%
“…We find that the percentage of older adults negatively correlates with per capita mobility (r = −0.29), and thus neglect of demography-specific mortality risk will lead to inaccurate estimation of risk for different age groups. By contrast, our proposed BD model finds differences in mobility behaviors outweighed by the change in IFRs due to age structure and predicts higher mortality risk in communities with higher percentages of older adults, consistent with previous research (24,40). Moreover, communities with lower average household incomes and higher percentages of essential workers are associated with higher levels of mobility, likely following from limitations in their ability to significantly reduce mobility during the pandemic (26,31,32).…”
Section: Behavior and Demography Informed Epidemic Modellingsupporting
confidence: 86%
“…After the initial decline in symptom prevalence between 4 and 12 weeks the prevalence of persistent symptoms plateaued indicating that large numbers of people may have chronic symptoms requiring investigation and intervention including rehabilitation. We show here that economically disadvantaged people and those in deprived areas appear to have a higher burden of persistent symptoms post COVID-19, compounding the excess burden of severe illness and mortality from COVID-19 experienced by these groups 36 , 37 .…”
Section: Discussionmentioning
confidence: 77%
“…Nor did we have data on total mortality by individual or community sociodemographic status to understand inequalities in the impacts of the pandemic beyond deaths assigned to COVID-19 as the underlying cause of death. Where data have been analysed for population subgroups, excess mortality tends to be higher in marginalised individuals and communities 37 39 . More detailed data will allow more granular analysis of the impacts of the pandemic, which can in turn inform resource allocation and a more targeted approach to mitigating both the direct and indirect effects of the COVID-19 pandemic.…”
Section: Resultsmentioning
confidence: 99%