通过迪里克莱特序列方法,直接计算SIR和SEIR模型的数值解决方案
Kiattisak Prathom1, Asama Jampeepan1
1Division of Mathematics and Statistics, Walailak University, Nakhon Si Thammarat, Thailand.
PloS one
|June 30, 2023
概括
本研究介绍了一种使用迪里克莱序列的新型数值工具,用于分析SIR和SEIR区间模型. 该方法准确地预测了长期的系统动态,高精度匹配已建立的数值解决方案.
科学领域:
- 数学生物学 数学生物学
- 计算科学 计算科学
- 流行病学 流行病学
背景情况:
- 分区模型对于理解系统动态至关重要.
- 数字工具对于分析这些复杂模型至关重要.
- 现有的方法在捕捉长期行为方面可能存在局限性.
研究的目的:
- 为SIR和SEIR模型提供一个替代的数字工具.
- 为了证明 Dirichlet 序列在隔间模型分析中的应用.
- 将拟议的方法与已建立的数值技术进行比较.
主要方法:
- 将SIR和SEIR模型转换为等效微分方程.
- 应用迪里克莱序列来解决这些微分方程.
- 使用第四阶Runge-Kutta (RK-4) 方法获得的数值解决方案进行比较.
主要成果:
- 迪里克莱系列的解决方案与SIR和SEIR模型的RK-4数值解决方案密切匹配.
- 平均平方误差是最小的 (例如,SIR 的小于 2 × 10-5,SEIR 的小于 1.2 × 10-4).
- 迪里克莱系列方法有效地捕捉了系统的长期行为.
结论:
- 迪里克莱特系列为隔间模型的数值分析提供了一个可行的,准确的替代方案.
- 这种方法为了解流行病学动态提供了一个强大的工具.
- 该方法可扩展到其他复杂的隔间模型.
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