Litcius/Paper detail

Modelling optimal vaccination strategy for SARS-CoV-2 in the UK

Sam Moore, Edward M. Hill, Louise Dyson, Michael J. Tildesley, Matt J. Keeling

2021PLoS Computational Biology202 citationsDOIOpen Access PDF

Abstract

The COVID-19 outbreak has highlighted our vulnerability to novel infections. Faced with this threat and no effective treatment, in line with many other countries, the UK adopted enforced social distancing (lockdown) to reduce transmission-successfully reducing the reproductive number R below one. However, given the large pool of susceptible individuals that remain, complete relaxation of controls is likely to generate a substantial further outbreak. Vaccination remains the only foreseeable means of both containing the infection and returning to normal interactions and behaviour. Here, we consider the optimal targeting of vaccination within the UK, with the aim of minimising future deaths or quality adjusted life year (QALY) losses. We show that, for a range of assumptions on the action and efficacy of the vaccine, targeting older age groups first is optimal and may be sufficient to stem the epidemic if the vaccine prevents transmission as well as disease.

Topics & Concepts

VaccinationOutbreakTransmission (telecommunications)Coronavirus disease 2019 (COVID-19)Social distanceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakMedicineDemographyVirologyDiseaseEnvironmental healthComputer scienceInfectious disease (medical specialty)SociologyTelecommunicationsPathologyCOVID-19 epidemiological studiesCOVID-19 Pandemic ImpactsSARS-CoV-2 and COVID-19 Research