用于数学分析和模拟的传染病双菌株模型

IF 1.8 4区数学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Mathematical and Computer Modelling of Dynamical Systems Pub Date : 2024-05-26 DOI:10.1080/13873954.2024.2355940

Eiman, Kamal Shah, Manel Hleili, Thabet Abdeljawad

引用次数: 0

摘要

在本研究中，我们研究了一个关于 COVID-19 与疫苗接种人群传播的双株非线性模型。值得注意的是，我们所考虑的模型包含两种已知的病毒：一种是COVID-19，另一种是COVID-19。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Two strains model of infectious diseases for mathematical analysis and simulations

In this study, we study a two-strain nonlinear model for the transmission of COVID-19 with a vaccinated class. Here, it is remarkable that the model we consider contains two kinds of viruses known ...

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来源期刊

Mathematical and Computer Modelling of Dynamical Systems 数学-计算机：跨学科应用

CiteScore

3.80

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.