A new study involving LCDS researcher Thomas Rawson examines how social and demographic factors influence COVID-19 vaccine uptake and protection across populations. Published in the journal Vaccine, the research highlights how differences in vaccination behaviour can create unequal protection against infectious disease.
Vaccination programmes have played a central role in reducing the burden of COVID-19 worldwide. However, vaccine protection at the population level depends not only on the effectiveness of vaccines themselves but also on who gets vaccinated, when they receive doses, and whether they complete vaccination schedules. Understanding these patterns is essential for designing vaccination programmes that protect entire populations.
The study analyses vaccination patterns and identifies how sociodemographic characteristics—such as age, earnings, and environmental factors—shape vaccine uptake and the likelihood of completing vaccination schedules. The findings show that geographies in England with greater ethnic minority populations saw lower rates of vaccine uptake, and that geographies with younger populations were more likely to not complete their course of vaccine doses. Weaker influences from crime, health funding, and living environment were also identified. These differences can lead to uneven levels of protection, potentially leaving some communities more vulnerable to infection and severe disease.
By identifying groups most at risk of incomplete vaccination or delayed protection, the research provides important insights for public health planning. Targeted vaccination strategies and tailored communication campaigns could help address these disparities and strengthen the effectiveness of vaccination programmes.
Thomas Rawson explains: “Vaccines are highly effective tools for preventing disease, but their impact depends on how they are taken up across the population. Our study shows that understanding social patterns in vaccination behaviour is crucial if we want vaccination programmes to protect everyone effectively.”
The study underscores the importance of integrating epidemiological data with social and demographic insights when designing vaccination strategies. By identifying populations at risk of reduced vaccine protection, policymakers can better target interventions and improve public health responses during future outbreaks.
Read the full study here: https://www.sciencedirect.com/science/article/pii/S0264410X26002859
