The role of childrens' vaccination for COVID- 19-Pareto-optimal allocations of vaccines

Nir Gavish, Guy Katriel

Research output: Contribution to journalArticlepeer-review

Abstract

COVID-19 vaccines have been approved for children of age five and older in many countries. However, there is an ongoing debate as to whether children should be vaccinated and at what priority. In this work, we use mathematical modeling and optimization to study how vaccine allocations to different age groups effect epidemic outcomes. In particular, we consider the effect of extending vaccination campaigns to include the vaccination of children. When vaccine availability is limited, we consider Pareto-optimal allocations with respect to competing measures of the number of infections and mortality and systematically study the trade-offs among them. In the scenarios considered, when some weight is given to the number of infections, we find that it is optimal to allocate vaccines to adolescents in the age group 10-19, even when they are assumed to be less susceptible than adults. We further find that age group 0-9 is included in the optimal allocation for sufficiently high values of the basic reproduction number.

Original languageEnglish
Article numbere1009872
Pages (from-to)e1009872
JournalPLoS Computational Biology
Volume18
Issue number2
DOIs
StatePublished - 25 Feb 2022

Keywords

  • Adolescent
  • Adult
  • COVID-19 Vaccines
  • COVID-19/epidemiology
  • Child
  • Child, Preschool
  • Health Care Rationing/statistics & numerical data
  • Humans
  • Infant
  • Infant, Newborn
  • Mass Vaccination/methods
  • Models, Statistical
  • Young Adult

All Science Journal Classification (ASJC) codes

  • Genetics
  • Ecology, Evolution, Behavior and Systematics
  • Cellular and Molecular Neuroscience
  • Molecular Biology
  • Ecology
  • Computational Theory and Mathematics
  • Modelling and Simulation

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