A fractional SITR model for dynamic of tuberculosis spread

IF 0.8 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/7864

Muhafzan, Narwen Ahmad Iqbal Baqi Zulakmal, A. G. Lestari, M. Oktaviani

引用次数: 0

Abstract

. This work presents a fractional SITR mathematical model that investigates the Tuberculosis (TB) spread in a human population. It was shown that disease-free and endemic equilibrium stability depended on the basic reproduction number. These results are in accordance with the epidemic theory. A numerical example is given to demonstrate the validity of the results. The results show that the infected subpopulation increases in the absence of special treatment

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结核病传播动态的分数SITR模型

．这项工作提出了一个分数SITR数学模型，调查结核病(TB)在人群中的传播。结果表明，无病和地方性平衡的稳定性取决于基本繁殖数。这些结果符合流行病理论。最后通过数值算例验证了所得结果的有效性。结果表明，在没有特殊处理的情况下，感染亚群增加

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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来源期刊

Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.10

自引率

15.40%

发文量

期刊介绍： Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.