University of Manchester

Academic Institute

No

CCU039

Mass rollout of several highly-effective Covid-19 vaccines has helped prevent severe cases of Covid-19, protecting against hospitalisation and death. However, uptake of Covid-19 vaccination has not been equal across the population, potentially exacerbating existing health inequalities and leaving some communities more vulnerable to the severe impacts of Covid-19. We will use statistical analysis to identify inequalities in Covid-19 vaccine uptake, looking at differences by income deprivation, ethnic group, and geographical area. In each case, we will look at inequalities in vaccine uptake within vulnerable groups (defined by age and clinical vulnerability) as well as overall inequalities. We will also compare inequalities in Covid-19 vaccine uptake to inequalities in seasonal Influenza vaccine uptake to ask whether inequalities differ from those for routine vaccinations. Finally, we are also interested in exploring whether there is regional variation in the extent of income-related inequalities in vaccine uptake. This research is part of a larger project which also includes interviews and focus groups with members of the public and professionals involved in the vaccine rollout to better understand the drivers behind unequal vaccine uptake.

Better understanding of inequalities in vaccine uptake can inform policy aimed at improving access to and uptake of vaccination. Visit the BHF Data Science Centre website for more detailed information about project outputs. https://bhfdatasciencecentre.org/projects/ccu039/

This project accessed the following datasets within the Trusted Research Environment(s) for CVD-COVID-UK / COVID-IMPACT: - ENGLAND: - Civil Registration - Deaths - Covid-19 Second Generation Surveillance System - Covid-19 UK Non-hospital Antigen Testing Results - COVID-19 Vaccination Status - GPES Data for Pandemic Planning and Research (COVID-19) - Hospital Episode Statistics Admitted Patient Care

09/02/2022

De-Personalised

TRE