一种植物病毒动态模型的向后分叉,具有非线性连续和冲动控制
Guangming Qiu1, Zhizhong Yang1, Bo Deng1
1School of Mathematics and Statistics, Qinghai Normal University, Xining, Qinghai 810016, China.
Mathematical biosciences and engineering : MBE
|March 29, 2024
概括
数学模型分析植物病毒传播,探索如何去除受感染的植物和载体影响根除. 连续和冲动策略都显示向后分叉,健康的植物被移除会增加基本的繁殖数 (R1).
科学领域:
- 数学生物学 数学生物学
- 植物病理学 植物病理学
- 流行病学 流行病学
背景情况:
- 植物病毒对农业构成重大威胁,需要有效的控制策略.
- 除 (去除受感染的植物) 和媒介消除是主要的生物控制方法.
- 数学建模对于理解病毒传播动态和评估控制有效性的重要.
研究的目的:
- 开发和分析植物病毒传播的数学模型,包括非线性连续和冲动移除受感染的植物和载体.
- 调查这些控制策略对植物病毒根除的影响.
- 为了确定导致疾病持续或消除的条件.
主要方法:
- 为植物病毒传播制定非线性数学模型.
- 分析连续控制策略,确定平衡和分叉条件.
- 分析冲动控制策略,评估无病周期性溶液和持久度值.
- 固定点理论的应用来分析分叉.
- 数字模拟用于验证理论发现.
主要成果:
- 连续控制模型表现出多个平衡和向后分叉的条件.
- 冲动控制模型提供了无病溶液的稳定性标准和疾病持久性值.
- 连续和冲动控制策略都显示了向后分叉现象.
- 发现移除健康植物会增加R1值,可能会阻碍根除.
结论:
- 非线性连续和冲动控制策略,包括植物和载体的去除,可以用数学建模.
- 倒向分叉是连续和冲动植物病毒传播模型中的一个重要特征.
- 移除健康植物可以通过增加R1值对病毒根除产生负面影响.
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