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10.1371/journal.pcbi.1008849

http://scihub22266oqcxt.onion/10.1371/journal.pcbi.1008849
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33956791!8101958!33956791
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suck abstract from ncbi


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pmid33956791      PLoS+Comput+Biol 2021 ; 17 (5): e1008849
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  • Modelling optimal vaccination strategy for SARS-CoV-2 in the UK #MMPMID33956791
  • Moore S; Hill EM; Dyson L; Tildesley MJ; Keeling MJ
  • PLoS Comput Biol 2021[May]; 17 (5): e1008849 PMID33956791show ga
  • 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.
  • |*Computer Simulation[MESH]
  • |*Vaccination[MESH]
  • |COVID-19 Vaccines/*administration & dosage[MESH]
  • |COVID-19/epidemiology/*immunology/prevention & control/transmission[MESH]
  • |Communicable Disease Control[MESH]
  • |Humans[MESH]
  • |Immunity, Herd[MESH]


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