Din Rahim Ud, Seadawy Aly R, Shah Kamal, Ullah Aman, Baleanu Dumitru
Department of Mathematics, University of Malakand, Khyber Pakhtunkhwa, Pakistan.
Department of Mathematics and Statistics, Taibah University, Medina, Saudi Arabia.
Results Phys. 2020 Dec;19:103468. doi: 10.1016/j.rinp.2020.103468. Epub 2020 Oct 15.
The theme of this paper focuses on the mathematical modeling and transmission mechanism of the new Coronavirus shortly noted as (COVID-19), endangering the lives of people and causing a great menace to the world recently. We used a new type epidemic model composed on four compartments that is susceptible, exposed, infected and recovered (SEIR), which describes the dynamics of COVID-19 under convex incidence rate. We simulate the results by using nonstandard finite difference method (NSFDS) which is a powerful numerical tool. We describe the new model on some random data and then by the available data of a particular regions of Subcontinents.
本文主题聚焦于新型冠状病毒(简称COVID - 19)的数学建模与传播机制,该病毒近期危及人们生命并给世界带来巨大威胁。我们使用了一种由易感、潜伏、感染和康复四个 compartments 组成的新型流行病模型(SEIR),它描述了在凸发病率下COVID - 19的动态变化。我们使用非标准有限差分法(NSFDS)这一强大的数值工具来模拟结果。我们在一些随机数据上描述了新模型,然后依据次大陆特定区域的可用数据进行了描述。