分数非线性合疟疾模型的复杂移动波解决方案:分叉,混乱和多稳定性
Abdullah1, Muhammad Shakeel1, Shah Muhammad2
1School of Mathematics and Statistics, Central South University, Changsha, 410083, China.
这项研究使用了一种新的分数非线性模型来探索疟疾传播动态. 它揭示了混乱和多稳定性等复杂的模式,增强了疾病传播理解和预测建模.
科学领域:
- 流行病学 流行病学
- 数学生物学 数学生物学
- 分数微积分的计算.
背景情况:
- 疟疾传播动态复杂,受到许多因素的影响.
- 准确的数学模型对于了解和控制疾病传播至关重要.
- 分数计算为模拟复杂的生物系统提供了先进的工具.
研究的目的:
- 为了研究疟疾传播的动态,使用一种新型的微分非线性合模型与β衍生物.
- 扩大对推动疟疾传播的复杂因素的理解.
- 应用先进的数学技术来分析疾病动态.
主要方法:
- 使用了一种新型的分数非线性合疟疾模型,其中包含β衍生物.
- 使用通用指数理函数方法 (GERFM) 解决分数非线性部分微分方程.
- 将部分微分方程转换为普通微分方程,以找到移动波的解决方案.
主要成果:
- 获得了一系列复杂的移动波解决方案,包括曲,反曲和暗单子.
- 用2D和3D图表说明了解决方案的物理行为.
- 确定了关键结果,如分叉分析,准周期和混乱模式,多稳定性和模型中的灵敏性.
结论:
- 这项研究强调了疟疾传播动态的复杂性.
- 这些发现为疾病传播建模提供了新的见解,并为疟疾控制研究提供了强大的框架.
- 通过使用微积分计算,为开发生物医学科学中更准确的预测模型做出贡献.
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