Monitoring sociodemographic inequality in COVID-19 vaccination coverage in England: a national linked data study (preprint)

Background: The UK began an ambitious COVID-19 vaccination programme on 8th December 2020. This study describes variation in vaccination coverage by sociodemographic characteristics between December 2020 and August 2021. Methods: Using population-level administrative records linked to the 2011 Census, we estimated monthly first dose vaccination rates by age group and sociodemographic characteristics amongst adults aged 18 years or over in England. We also present a tool to display the results interactively. Findings: Our study population included 35,223,466 adults. A lower percentage of males than females were vaccinated in the young and middle age groups (18-59 years) but not in the older age groups. Vaccination rates were highest among individuals of White British and Indian ethnic backgrounds and lowest among Black Africans (aged [≥]80 years) and Black Caribbeans (18-79 years). Differences by ethnic group emerged as soon as vaccination roll-out commenced and widened over time. Vaccination rates were also lower among individuals who identified as Muslim, lived in more deprived areas, reported having a disability, did not speak English as their main language, lived in rented housing, belonged to a lower socio-economic group, and had fewer qualifications. Interpretation: We found inequalities in COVID-19 vaccination rates by sex, ethnicity, religion, area deprivation, disability status, English language proficiency, socio-economic position, and educational attainment, but some of these differences varied by age group. Research is urgently needed to understand why these inequalities exist and how they can be addressed.

Effect of COVID-19 on inequalities in premature mortality in England: an analysis of excess mortality by deprivation and ethnicity (preprint)

Objectives: To examine the impact of the COVID-19 pandemic on inequalities in premature mortality in England by deprivation and ethnicity. Design: A statistical model to estimate increased mortality in population sub-groups during the COVID-19 pandemic by comparing observed with expected mortality in each group based on trends over the previous five years. Setting: Information on deaths registered in England since 2015 was used, including age, sex, area of residence, and cause of death. Ethnicity was obtained from Hospital Episode Statistics (HES) records linked to death registration data. Participants: Population study of England, including all 569,824 deaths from all causes registered between 21 March 2020 and 26 February 2021. Main outcome measures: Excess mortality in each sub-group over and above the number expected based on trends in mortality in that group over the previous five years. Results: The gradient in excess mortality by deprivation was greater in the under 75s (most deprived had 1.25 times as many deaths as expected, least deprived 1.14) than in all ages (most deprived had 1.24 times as many deaths as expected, least deprived 1.20). Among the Black and Asian groups, all deprivation quintiles had significantly larger excesses than the most deprived White group and there were no clear gradients across quintiles. Among the White group, only the most deprived had more excess deaths than deaths directly involving COVID-19. Among the Black group all deprivation quintiles experienced more excess deaths than deaths directly involving COVID-19. Conclusion: The COVID-19 pandemic has widened inequalities in premature mortality by deprivation. Among those under 75, the direct and indirect effects of the pandemic on deaths have disproportionately impacted ethnic minority groups irrespective of deprivation, and the most deprived White group. Statistics limited to deaths directly involving COVID-19 understate the pandemic's impact on inequalities by deprivation and ethnic group at younger ages.