基于竞争系统的模拟蚊子种群抑制,具有强和弱的Allee效应
Chen Liang1, Hai-Feng Huo1,2, Hong Xiang1
1Department of Applied Mathematics, Lanzhou University of Technology, Lanzhou 730050, China.
Mathematical biosciences and engineering : MBE
|June 14, 2024
概括
无菌昆虫技术可以抑制蚊子种群,减少疾病传播. 数学模型表明,释放策略和竞争影响了对抗像埃及甲虫这样的害虫的有效性.
科学领域:
- 生态生态学 生态生态学
- 数学生物学 数学生物学
- 载体传播疾病控制和控制
背景情况:
- 蚊子传播的疾病对全球健康构成重大威胁,影响了世界一半的人口.
- 目前的控制方法不足,需要创新的策略,如无菌昆虫技术 (SIT).
- SIT涉及释放无菌的蚊子,以减少野生蚊子数量并防止疾病传播.
研究的目的:
- 使用SIT.开发和分析用于抑制蚊子种群的数学模型.
- 调查Allee效应和物种间竞争对SIT疗效的影响.
- 探索在不断和冲动释放策略下抑制蚊子的动态.
主要方法:
- 开发一种数学模型,用于不断释放无菌的埃及蚊蚊.
- 包括强弱的Allee效应和与Anopheles蚊子的跨物种竞争.
- 对定期无菌雄性蚊子释放的冲动微分方程模型的介绍.
主要成果:
- 计算有效抑制蚊子的多个释放值.
- 在不同的场景下调查模型的动态行为.
- 数字模拟说明释放参数和抑制时间之间的关系.
结论:
- 数学建模为对蚊子控制的SIT有效性提供了宝贵的见解.
- 路径效应和物种间竞争对人口动态有很大影响.
- 优化释放策略,包括冲动释放,可以加强蚊子抑制工作.
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