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

Moore, Sam and Hill, Edward M. and Dyson, Louise and Tildesley, Michael J and Keeling, Matt (2021) Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. PLoS Computational Biology, 17 (5): e1008849. ISSN 1553-734X

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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.

Item Type:
Journal Article
Journal or Publication Title:
PLoS Computational Biology
Uncontrolled Keywords:
Research Output Funding/yes_externally_funded
Subjects:
?? yes - externally fundedecologycellular and molecular neuroscienceecology, evolution, behavior and systematicsgeneticsmodelling and simulationcomputational theory and mathematicsmolecular biology ??
ID Code:
221777
Deposited By:
Deposited On:
11 Jul 2024 14:50
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Sep 2024 09:43