A game dynamic model for delayer strategies in vaccinating behaviour for pediatric infectious diseases

Samit Bhattacharyya1, C T Bauch

  • 1Department of Mathematics and Statistics, University of Guelph, Guelph, ON, Canada. sbhattac@uoguelph.ca

Insights

Parents delaying pediatric vaccines, especially during scares like measles-mumps-rubella, can be modeled using game theory. Introducing a "delayer" strategy can stabilize vaccine uptake dynamics.

Area of Science:

  • Infectious disease modeling
  • Game theory
  • Public health

Background:

  • Parental vaccine hesitancy, particularly delaying pediatric vaccinations, is influenced by perceived risks.
  • The Measles-Mumps-Rubella scare in the UK highlighted the impact of vaccine scares on vaccination behavior.

Purpose of the Study:

  • To develop an age-structured game dynamic model analyzing vaccination decisions.
  • To investigate the interplay of vaccination behavior, disease dynamics, and age-specific risks under voluntary policies.
  • To explore the impact of vaccine scares and the introduction of a 'delayer' strategy on vaccine uptake.

Main Methods:

  • Constructed an age-structured game dynamic model incorporating imitation dynamics.
  • Modeled individuals as timely vaccinators, delayers, or non-vaccinators.
  • Analyzed model behavior under varying disease prevalence, perceived vaccination risks, and scare parameters.

Main Results:

  • The model exhibits multiple equilibria and complex dynamics, including anti-phase oscillations between timely vaccinators and delayers.
  • Exogenous increases in perceived vaccine risk, simulating scares, led to a rise in delayers, mirroring real-world observations.
  • Increasing scare severity increased the number of delayers, while increasing scare duration showed saturation.

Conclusions:

  • The addition of a 'delayer' strategy can stabilize vaccine uptake dynamics.
  • Game theory and related techniques are crucial for modeling vaccine uptake in an era of individual choice.
  • Understanding parental decision-making is key to effective infectious disease control strategies.

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