Scholarlink

<p>Dengue fever, a viral disease transmitted by mosquitoes, has emerged as one of the herculean challenges in global public health. Effective control strategies hinge on the interplay between humans, governments, and mosquitoes. This paper introduces a mathematical model based on game theory to analyze the behaviors and control effects of these three parties under different game situations. The results indicate that: (1) Strict government regulation can effectively reduce the proportion of infected individuals, thereby controlling the spread of dengue fever. (2) Under certain conditions, the system can reach an ideal evolutionary equilibrium, where the number of infected individuals is zero. (3) Effective dengue control policies should balance economic burden and control effectiveness. These findings provide theoretical support for understanding the mechanisms of dengue fever transmission and optimizing control strategies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Modeling dengue fever control: an evolutionary game theoretic approach to multi-stakeholder interventions

  • 期刊论文

  • 发表日期：

    2025年8月8日

查看全文
  • Chang Sun,
  • Haiyan Tian,
  • Gang Zhang

摘要

Dengue fever, a viral disease transmitted by mosquitoes, has emerged as one of the herculean challenges in global public health. Effective control strategies hinge on the interplay between humans, governments, and mosquitoes. This paper introduces a mathematical model based on game theory to analyze the behaviors and control effects of these three parties under different game situations. The results indicate that: (1) Strict government regulation can effectively reduce the proportion of infected individuals, thereby controlling the spread of dengue fever. (2) Under certain conditions, the system can reach an ideal evolutionary equilibrium, where the number of infected individuals is zero. (3) Effective dengue control policies should balance economic burden and control effectiveness. These findings provide theoretical support for understanding the mechanisms of dengue fever transmission and optimizing control strategies.