本书通过使用具有奇异和非奇异核的随机非局部微分和积分算子，就新冠肺炎传播模型的基础进行了全面的讨论。
这本书介绍了全球新冠肺炎传播行为的动态。我们注意到，扩散动态过程具有类似幂律、衰减记忆、交叉和随机行为的非局部行为。因此，分数阶随机微分方程被用来模拟世界不同地区的传播行为。内容覆盖范围包括2019年12月至2021 9月期间新冠肺炎全球传播的简要历史，然后是对所收集的感染、死亡和恢复类数据的统计分析。
Fractional Stochastic Differential Equations: Applications to Covid-19 Modeling
This book provides a thorough conversation on the underpinnings of Covid-19 spread modelling by using stochastics nonlocal differential and integral operators with singular and non-singular kernels.
The book presents the dynamic of Covid-19 spread behaviour worldwide. It is noticed that the spread dynamic followed process with nonlocal behaviours which resemble power law, fading memory, crossover and stochastic behaviours. Fractional stochastic differential equations are therefore used to model spread behaviours in different parts of the worlds. The content coverage includes brief history of Covid-19 spread worldwide from December 2019 to September 2021, followed by statistical analysis of collected data for infected, death and recovery classes.
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