摘要
本文提出了用于预测新冠肺炎疾病传播的分数阶SIR (susceptible-infected-recovered)模型,基于Caputo分数阶导数的有限差分方法完成了时域模型的实现,然后研究了分数阶导数值对所提出的分数阶SIR模型的动态特性的影响。
A novel coronavirus pneumonia model is proposed to predict the spread of new crown pneumonia disease. The SIR model (susceptible-infected-recovered) is implemented. The time domain model is implemented by the Caputo finite difference method with fractional derivative. Then the influence of fractional values on the dynamic characteristics of the fractional SIR model is studied.
出处
《应用数学进展》
2021年第10期3233-3238,共6页
Advances in Applied Mathematics
