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个体的多策略行为不利于控制疾病传播

  • 王阳阳 ,
  • 阚佳倩 ,
  • 张海峰
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  • 安徽大学数学科学学院,合肥 230601
王阳阳(1991-),男,安徽亳州人,本科,主要研究方向为复杂网络上的疾病传播。

收稿日期: 2014-03-20

  修回日期: 2014-05-30

  网络出版日期: 2026-06-22

基金资助

国家自然科学基金(61473001);安徽大学大学生科研培训项目(KYXL20110001);博士启动资金(02303319)

Individuals' Multi-Strategy Behavior is not Conducive to Control the Spread of Epidemic

  • WANG Yangyang ,
  • KAN Jiaqian ,
  • ZHANG Haifeng
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  • School of Mathematical Science, Anhui University, Hefei 230601, China

Received date: 2014-03-20

  Revised date: 2014-05-30

  Online published: 2026-06-22

摘要

考虑自愿接种机制下个体的多策略行为——动态混合策略对疾病传播范围的影响。在此动态混合策略中,个体既可以采取模仿策略又可以采取利益最大化策略,同时个体可以通过比较这两种策略的代价进行策略转换。研究发现:相对于纯粹的模仿策略而言,虽然动态混合策略使得个体可以有更多的选择,但是这种策略并不利于控制疾病的传播,反而导致更大范围的传播范围。

本文引用格式

王阳阳 , 阚佳倩 , 张海峰 . 个体的多策略行为不利于控制疾病传播[J]. 复杂系统与复杂性科学, 2015 , 12(3) : 14 -18 . DOI: 10.13306/j.1672-3813.2015.03.003

Abstract

In this paper, we consider the impact of individuals' multi-strategy behavior—dynamic mixed strategy on the vaccination coverage and the final epidemic size under voluntary vaccination mechanism. In this dynamic mixed strategy, individuals can choose the imitation strategy or the benefit maximization strategy, at the same time, individual can switch between the two strategies by comparing their cost. We find that, compared with the pure imitation strategy, although the dynamic mixed strategy offers individuals more options to choose, this strategy is not conducive to control the spread of epidemic, instead of leading to a wider dissemination.

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