摘要
In existing models of pathogen evolution under voluntary vaccination, vaccination behaviour is typically assumed to be static, overlooking the conflicts between individual and collective interests. To address this, we develop a multi-scale model within a game-theoretic framework that couples the dynamic processes of disease transmission, vaccination decision-making, and pathogen evolution. By reformulating vaccine uptake as a time-dependent strategic choice and incorporating a heterogeneous update mechanism, we establish the evolutionary model of vaccination strategies. Numerical results show that heterogeneous updating rules will capture autonomous population decision-making. The co-evolutionary dynamics are highly sensitive to the evolutionary adaptation rates and exhibit an asymmetric relationship between population and evolutionary dynamics. At the early stage of a vaccination scenario, we observe that imitation behaviour dominates due to limited information. Enhancing vaccine uptake is effective in limiting the emergence of detrimental variants, and the long-term evolutionary outcome may favour the emergence of specialist variants. This framework provides quantitative methods and key methodological advancements for multi-scale mathematical modelling in the context of pathogen evolution.
| 源语言 | 英语 |
|---|---|
| 期刊论文编号 | 117225 |
| 期刊 | Applied Mathematical Modelling |
| 卷 | 162 |
| DOI | |
| 出版状态 | 已出版 - 2月 2027 |
| 已对外发布 | 是 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 3 良好健康与福祉
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