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Dynamic equilibria of group vaccination strategies in a heterogeneous population

机译:异质群体中群体疫苗接种策略的动态平衡

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In this paper we present an evolutionary variational inequality model of vaccination strategies games in a population with a known vaccine coverage profile over a certain time interval. The population is considered to be heterogeneous, namely its individuals are divided into a finite number of distinct population groups, where each group has different perceptions of vaccine and disease risks. Previous game theoretical analyses of vaccinating behaviour have studied the strategic interaction between individuals attempting to maximize their health states, in situations where an individual's health state depends upon the vaccination decisions of others due to the presence of herd immunity. Here we extend such analyses by applying the theory of evolutionary variational inequalities (EVI) to a (one parameter) family of generalized vaccination games. An EVI is used to provide conditions for existence of solutions (generalized Nash equilibria) for the family of vaccination games, while a projected dynamical system is used to compute approximate solutions of the EVI problem. In particular we study a population model with two groups, where the size of one group is strictly larger than the size of the other group (a majority/minority population). The smaller group is considered much less vaccination inclined than the larger group. Under these hypotheses, considering that the vaccine coverage of the entire population is measured during a vaccine scare period, we find that our model reproduces a feature of real populations: the vaccine averse minority will react immediately to a vaccine scare by dropping their strategy to a non-vaccinatorone; the vaccine inclined majority does not follow a nonvaccinator strategy during the scare, although vaccination in this group decreases as well. Moreover we find that there is a delay in the majority's reaction to the scare. This is the first time EVI problems are used in the context of mathematical epidemiology. The results presented emphasize the important role played by social heterogeneity in vaccination behaviour, while also highlighting the valuable role that can be played by EVI in this area of research.
机译:在本文中,我们介绍了在一定时间间隔内具有已知疫苗覆盖率特征的人群中接种策略博弈的进化变异不等式模型。人口被认为是异质的,即其个体被分为有限数量的不同人口群体,其中每个群体对疫苗和疾病风险的看法都不相同。先前对疫苗接种行为的博弈论分析已经研究了个体之间试图最大化其健康状况的战略相互作用,在这种情况下,由于群体免疫力的存在,一个人的健康状况取决于其他人的疫苗接种决定。在这里,我们通过将进化变异不等式(EVI)理论应用于广义疫苗接种博弈(一个参数)系列来扩展此类分析。 EVI用于为疫苗接种游戏系列提供解决方案(广义Nash均衡)的存在条件,而预计的动力学系统用于计算EVI问题的近似解决方案。特别是,我们研究了具有两组的人口模型,其中一组的大小严格大于另一组(多数/少数民族人口)的大小。较小的组被认为比较大的组的疫苗接种倾向要小得多。在这些假设下,考虑到整个人群的疫苗覆盖率是在疫苗恐慌期间测得的,我们发现我们的模型再现了真实人群的特征:不喜欢疫苗的少数群体会通过将其策略降低到非疫苗疫苗在恐慌期间,倾向于接种疫苗的大多数人不遵循非疫苗接种策略,尽管该组中的疫苗接种也有所减少。此外,我们发现大多数人对恐慌的反应有所延迟。这是在数学流行病学背景下首次使用EVI问题。提出的结果强调了社会异质性在疫苗接种行为中的重要作用,同时也强调了EVI在这一研究领域中可以发挥的宝贵作用。

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