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Imitation dynamics in vaccination under partial and temporary immune protection
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Resumo(s)
Vaccination has been the most effective strategy to contain and control infectious disease epidemics. Over the past decades, its success and the consequent herd immunity changed public perceptions on the disease and vaccination’s expected costs which, in some cases, resulted in vaccine hesitancy. This work extends the classical SIR model by incorporating both temporary and partial immunity, along with individual vaccination decisions driven by an imitation dynamics approach based on perceived expected costs. Our methodology relied on the stability analysis of the equilibria and the investigation of bifurcation phenomena within the model. To this end, we employed classical local asymptotic techniques, complemented by numerical continuation methods and the computation of Lyapunov exponents. The analysis of the model revealed an interplay between incomplete immune protection and imitation parameters, with rich dynamics involving oscillatory and chaotic behavior for low waning immunity rates and/or high protection against reinfection, and for high social-learning rate. Furthermore, exploring temporary immunity led to the conclusion that for diseases with shorter immunity periods and for vaccines with high relative expected cost, people will rapidly decline any vaccination efforts. These findings emphasize the importance of human behavior for a population in an epidemic landscape, and may provide insight on how to adapt and improve public health interventions.
Descrição
© 2026 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
Palavras-chave
bifurcation analysis complex dynamics Epidemiological models imitation dynamics Lyapunov exponents suboptimal immunity vaccination strategies General Medicine Modelling and Simulation General Agricultural and Biological Sciences Computational Mathematics Applied Mathematics SDG 3 - Good Health and Well-being