Evolutionary vaccination game approach in metapopulation migration model with information spreading on different graphs
Evolutionary vaccination game approach in metapopulation migration model with information spreading on different graphs
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DOI：
10.1016/j.chaos.2019.01.013
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发表时间：
2019-03-01
影响因子：
7.8
通讯作者：
Tanimoto, Jun
中科院分区：
文献类型：
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作者：
Kabir, K. M. Ariful;Tanimoto, Jun
将两层SIR/V-UA流行病扩散模型引入集合种群迁移模型，研究了意识（谣言）对进化疫苗接种博弈方法的影响.在集合种群中，每个节点表示一个子种群，其中个体通过随机游走从一个节点迁移到另一个节点，遵循不同的图;星星，循环，轮和完全。在考虑信息传播效应的疫苗接种博弈中，通过对个体接种疫苗和不接种疫苗的策略更新规则，分别在单季和世代中观察到了传染病迁移模型的框架.此外，每个节点中的个体被分为七种情况：不知道易感，知道易感，不知道接种疫苗，知道接种疫苗，不知道感染，知道感染和恢复在一个单一的季节。两个策略更新规则：讨论了四种新状态下基于个体的风险评估（IB-RA）和基于策略的风险评估（SB-RA）;健康的接种疫苗，感染的接种疫苗，成功的搭便车者和失败的搭便车者在每个赛季结束时，探索如何通过复杂的人口网络中的信息传播效果，对最终的流行规模产生影响的潜在社会网络的不同图表，不同数量的节点。相应地，集合种群模型中的信息迁移传播可以提高流行病阈值的有效性，有助于控制疾病扩散。(C)2019爱思唯尔有限公司版权所有。
The two layer SIR/V-UA epidemic diffusion model is incorporated in metapopulation migration model for random walkers to study the impact of awareness (rumor) for evolutionary vaccination game approach. In metapopulation, each node denoted a sub-population where the individuals migrate from one node to another by random walk following different graphs; star, cycle, wheel and complete. The framework of epidemic migration model in vaccination game with information spreading effect is observed in one single season as well as generation by some strategy update rules for an individual either taking vaccination or not. Furthermore, individuals in each node are divided into seven situations as; unaware susceptible, aware susceptible, unaware vaccinated, aware vaccinated, unaware infected, aware infected and recovered in a single season. Two strategy updating rules: individual based risk assessment (IB-RA) and strategy based risk assessment (SB-RA) are discussed for game theoretical approach for four new states; healthy vaccinated, infected vaccinated, successfully free rider and failed free rider at the end of each season to explore how different graphs of an underlying social network giving impact on the final epidemic size through the effect of information spreading in the complex population network with various number of nodes. Accordingly, the information spreading with migration in metapopulation model can enhance the epidemic threshold effectiveness and help to overcome on controlling disease diffusion. (C) 2019 Elsevier Ltd. All rights reserved.