Inequalities in COVID19 mortality related to ethnicity and socioeconomic deprivation
Rose, T. C.; Mason, K.; Pennington, A.; McHale, P.; Taylor-Robinson, D. C.; Barr, B.
Show abstract
BackgroundInitial reports suggest that ethnic minorities may be experiencing more severe coronavirus disease 2019 (COVID19) outcomes. We therefore assessed the association between ethnic composition, income deprivation and COVID19 mortality rates in England. MethodsWe performed a cross-sectional ecological analysis across Englands upper-tier local authorities. We assessed the association between the proportion of the population from Black, Asian and Minority Ethnic (BAME) backgrounds, income deprivation and COVID19 mortality rates using multivariable negative binomial regression, adjusting for population density, proportion of the population aged 50-79 and 80+ years, and the duration of the epidemic in each area. FindingsLocal authorities with a greater proportion of residents from ethnic minority backgrounds had statistically significantly higher COVID19 mortality rates, as did local authorities with a greater proportion of residents experiencing deprivation relating to low income. After adjusting for income deprivation and other covariates, each percentage point increase in the proportion of the population from BAME backgrounds was associated with a 1% increase in the COVID19 mortality rate [IRR=1.01, 95%CI 1.01-1.02]. Each percentage point increase in the proportion of the population experiencing income deprivation was associated with a 2% increase in the COVID19 mortality rate [IRR=1.02, 95%CI 1.01-1.04]. InterpretationThis study provides evidence that both income deprivation and ethnicity are associated with greater COVID19 mortality. To reduce these inequalities, Government needs to target effective control and recovery measures at these disadvantaged communities, proportionate to their greater needs and vulnerabilities, during and following the pandemic. FundingNational Institute of Health Research; Medical Research Council
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Socioeconomic inequality in recent adverse mortality trends in Scotland. 93%
- SARS-CoV-2 infections in migrants and the role of household overcrowding: A causal mediation analysis of Virus Watch data 92%
- Monitoring sociodemographic inequality in COVID-19 vaccination coverage in England: a national linked data study 91%
Similar papers in this journal
- Evidence for ethnic inequalities in mortality related to COVID-19 infections: Findings from an ecological analysis of England and Wales 94%
- Geographical inequalities in the evolution of the COVID-19 pandemic: An ecological study of inequalities in mortality in the first wave and the effects of the first national lockdown in England 92%
- Acute and long-term impacts of COVID-19 on economic vulnerability: a population-based longitudinal study (COVIDENCE UK) 92%
Similar papers in this journal
- SARS-CoV-2 infection and transmission in educational settings: cross-sectional analysis of clusters and outbreaks in England 90%
- Vaccine effectiveness of the first dose of ChAdOx1 nCoV-19 and BNT162b2 against SARS-CoV-2 infection in residents of Long-Term Care Facilities (VIVALDI study) 90%
- Non-communicable disease and the risk of infection death: a UK Biobank prospective cohort study 89%
Similar papers in this journal
- The burden of SARS-CoV-2 Infection and Severe Illness in South Africa March 2020-August 2022: A synthesis of epidemiological data 91%
- COVID-19 mass testing in adult social care in England 89%
- Ongoing symptoms and functional impairment 12 weeks after testing positive to SARS-CoV-2 or influenza in Australia: an observational cohort study 89%
Similar papers in this journal
- Ethnic differences in COVID-19 infection, hospitalisation, and mortality: an OpenSAFELY analysis of 17 million adults in England 92%
- Early assessment of the clinical severity of the SARS-CoV-2 Omicron variant in South Africa 90%
- Characteristics, service use and mortality of clusters of multimorbid patients in England: a population-based study 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.