Adaptive dynamics for individual payoff game-theoretic models of vaccination

Vaccination is widely recognised as one of the most effective forms of public health interventions. Individuals decisions regarding vaccination creates a complex social dilemma between individual and collective interests, where each person's decision affects the overall public health outcome. In this paper, we study the adaptive dynamics for the evolutionary dynamics of strategies in a fundamental game-theoretic model of vaccination. We show the existence of an (Nash) equilibrium and analyse the stability and bifurcations when varying the relevant parameters. We also demonstrate our analytical results by several concrete examples.

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Publication Details

Journal
Journal of Dynamics and Games
Published
2025-07-16
DOI
https://doi.org/10.3934/jdg.2025037
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
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article

Adaptive dynamics for individual payoff game-theoretic models of vaccination

Manh Hong Duong, Nataliya Balabanova
Journal of Dynamics and Games
Mathematical and Theoretical Epidemiology and Ecology Models
article

Adaptive dynamics for individual payoff game-theoretic models of vaccination

Manh Hong Duong, Nataliya Balabanova
article en

Abstract

Vaccination is widely recognised as one of the most effective forms of public health interventions. Individuals decisions regarding vaccination creates a complex social dilemma between individual and collective interests, where each person's decision affects the overall public health outcome. In this paper, we study the adaptive dynamics for the evolutionary dynamics of strategies in a fundamental game-theoretic model of vaccination. We show the existence of an (Nash) equilibrium and analyse the stability and bifurcations when varying the relevant parameters. We also demonstrate our analytical results by several concrete examples.

Journal of Dynamics and GamesVol. 16(0)
Birkbeck, University of London (GB)
Zero hunger
Openalex Percentile: Top 76%
Mathematical and Theoretical Epidemiology and Ecology Models
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