English

Evolutionary vaccination dynamics under higher-order reinforcement pressure

Physics and Society 2026-01-21 v1

Abstract

Vaccination games in higher-order settings remain underexplored, despite their importance in shaping opinions and collective decisions. Here, we introduce a parsimonious behavioral-epidemiological model to evaluate how peer reinforcement pressure influences vaccination uptake. The framework consists of a two-layer multiplex: an epidemic layer governed by the SIR process on a square lattice, and a behavioral layer represented by a hypergraph of triadic interactions. Individuals update their vaccination strategy via imitation, modulated by a reinforcement parameter α\alpha when peer support is present. We find that higher-order structure alone induces clusters of vaccinated individuals that act as protective barriers. Low but nonzero reinforcement (α0.5\alpha \approx 0.5) maximizes coverage and suppresses outbreaks, while both negligible (α0\alpha \approx 0) and moderate (α>0.1\alpha > 0.1) reinforcement reduce uptake, as excessive confirmation lowers adaptability and enables non-vaccinators to re-emerge. Our work bridges complex contagion theory with evolutionary game dynamics, offering insights into how contact structure and peer reinforcement jointly shape vaccination behavior.

Keywords

Cite

@article{arxiv.2601.12114,
  title  = {Evolutionary vaccination dynamics under higher-order reinforcement pressure},
  author = {Yikang Lu and Ying Wang and Alfonso de Miguel-Arribas and Lei Shi and Yamir Moreno},
  journal= {arXiv preprint arXiv:2601.12114},
  year   = {2026}
}

Comments

15 pages, 6 figures in main text, 1 appendix with 2 figures

R2 v1 2026-07-01T09:09:01.663Z