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dc.contributor.authorShiri, T.
dc.contributor.authorEvans, M.
dc.contributor.authorTalarico, C. A.
dc.contributor.authorMorgan, A. R.
dc.contributor.authorMussad, M.
dc.contributor.authorBuck, P. O.
dc.contributor.authorMcEwan, P.
dc.contributor.authorStrain, W. D.
dc.identifier.citationVaccines (Basel). 2021 Oct 15;9(10):1180. doi: 10.3390/vaccines9101180.
dc.description.abstractDebate persists around the risk-benefit balance of vaccinating adolescents and children against COVID-19. Central to this debate is quantifying the contribution of adolescents and children to the transmission of SARS-CoV-2, and the potential impact of vaccinating these age groups. In this study, we present a novel SEIR mathematical disease transmission model that quantifies the impact of different vaccination strategies on population-level SARS-CoV-2 infections and clinical outcomes. The model employs both age- and time-dependent social mixing patterns to capture the impact of changes in restrictions. The model was used to assess the impact of vaccinating adolescents and children on the natural history of the COVID-19 pandemic across all age groups, using the UK as an example. The base case model demonstrates significant increases in COVID-19 disease burden in the UK following a relaxation of restrictions, if vaccines are limited to those ≥18 years and vulnerable adolescents (≥12 years). Including adolescents and children in the vaccination program could reduce overall COVID-related mortality by 57%, and reduce cases of long COVID by 75%. This study demonstrates that vaccinating adolescents and children has the potential to play a vital role in reducing SARS-CoV-2 infections, and subsequent COVID-19 morbidity and mortality, across all ages. Our results have major global public health implications and provide valuable information to inform a potential pandemic exit strategy.
dc.rights© 1996-2021 MDPI (Basel, Switzerland)
dc.subjectdisease transmission model
dc.titleVaccinating Adolescents and Children Significantly Reduces COVID-19 Morbidity and Mortality across All Ages: A Population-Based Modeling Study Using the UK as an Example
dc.typeJournal Article
dc.description.noteThe article is available via Open Access. Click on the 'Additional link' above to access the full-text.
dc.description.admin-notePublished version, accepted version, submitted version

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Except where otherwise noted, this item's license is described as © 1996-2021 MDPI (Basel, Switzerland)