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Modelling optimal vaccination strategy for SARS-CoV-2.
Sam Moore; Edward M Hill; Louise Dyson; Michael Tildesley; Matt J Keeling.
Affiliation
  • Sam Moore; University of Warwick
  • Edward M Hill; University of Warwick
  • Louise Dyson; University of Warwick
  • Michael Tildesley; University of Warwick
  • Matt J Keeling; University of Warwick
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20194183
Journal article
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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 second wave. 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 can avoid a second wave if the vaccine prevents transmission as well as disease.
License
cc_by_nc_nd
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Rct Language: En Year: 2020 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Experimental_studies / Rct Language: En Year: 2020 Document type: Preprint