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A scenario modelling analysis to anticipate the impact of COVID-19 vaccination in adolescents and children on disease outcomes in the Netherlands, summer 2021.
Ainslie, Kylie E C; Backer, Jantien A; de Boer, Pieter T; van Hoek, Albert Jan; Klinkenberg, Don; Korthals Altes, Hester; Leung, Ka Yin; de Melker, Hester; Miura, Fuminari; Wallinga, Jacco.
  • Ainslie KEC; MRC Centre for Global Infectious Disease Analysis and Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, United Kingdom.
  • Backer JA; School of Public Health, Imperial College London, London, United Kingdom.
  • de Boer PT; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
  • van Hoek AJ; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
  • Klinkenberg D; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
  • Korthals Altes H; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
  • Leung KY; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
  • de Melker H; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
  • Miura F; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
  • Wallinga J; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Euro Surveill ; 27(44)2022 11.
Article in English | MEDLINE | ID: covidwho-2109635
ABSTRACT
BackgroundSince the roll-out of COVID-19 vaccines in late 2020 and throughout 2021, European governments have relied on mathematical modelling to inform policy decisions about COVID-19 vaccination.AimWe present a scenario-based modelling analysis in the Netherlands during summer 2021, to inform whether to extend vaccination to adolescents (12-17-year-olds) and children (5-11-year-olds).MethodsWe developed a deterministic, age-structured susceptible-exposed-infectious-recovered (SEIR) model and compared modelled incidences of infections, hospital and intensive care admissions, and deaths per 100,000 people across vaccination scenarios, before the emergence of the Omicron variant.ResultsOur model projections showed that, on average, upon the release of all non-pharmaceutical control measures on 1 November 2021, a large COVID-19 wave may occur in winter 2021/22, followed by a smaller, second wave in spring 2022, regardless of the vaccination scenario. The model projected reductions in infections/severe disease outcomes when vaccination was extended to adolescents and further reductions when vaccination was extended to all people over 5 years-old. When examining projected disease outcomes by age group, individuals benefitting most from extending vaccination were adolescents and children themselves. We also observed reductions in disease outcomes in older age groups, particularly of parent age (30-49 years), when children and adolescents were vaccinated, suggesting some prevention of onward transmission from younger to older age groups.ConclusionsWhile our scenarios could not anticipate the emergence/consequences of SARS-CoV-2 Omicron variant, we illustrate how our approach can assist decision making. This could be useful when considering to provide booster doses or intervening against future infection waves.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Topics: Vaccines / Variants Limits: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Middle aged Country/Region as subject: Europa Language: English Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: 1560-7917.ES.2022.27.44.2101090

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Topics: Vaccines / Variants Limits: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Middle aged Country/Region as subject: Europa Language: English Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: 1560-7917.ES.2022.27.44.2101090