全球稳定性分析和COVID-19在加纳传播的最佳预防:分区建模视角

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/7971
D. Otoo, Albert Gyan, Hawa Adusei, Daniel Gyamfi, Shaibu Osman
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引用次数: 0

摘要

. COVID-19暴露了世界上大多数医疗保健系统,许多国家被迫请求国际支持。这种疾病通过接触感染者的体液传播。COVID-19对老年人构成巨大威胁,其严重性风险因素由老年人承担。在这项研究中,我们开发了一种解释疾病传播机制的Covid-19。确定了模型的平衡点,并对模型在平衡点处进行了局部稳定性分析。分析表明,当r0 < 1时,病害自由平衡稳定,当r0 < 1时,病害自由平衡不稳定。采用Lyapunov函数方法对模型进行了全局稳定性分析。然后通过加入时变控制将模型扩展到最优控制。用庞特里亚金极大值原理对模型进行定性分析。通过设计一种采用四阶龙格库塔法的迭代方案,对模型进行了数值模拟。数值分析还确定了有效的控制策略。最好的控制策略是教育和提高公众对感染的危险和可能原因的认识。
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Global stability analysis and optimal prevention of COVID-19 spread in Ghana: A compartmental modelling perspective
. COVID-19 exposed most of the world healthcare systems as many countries were compelled to request for international support. The disease spreads through contact with bodily fluids of the infected person. COVID-19 poses great threat to people in old age with the disease’s severity risks factor borne by them. In this study, we developed a Covid-19 that explains the transmission mechanism of the disease. Model’s equilibrium points were determined and local stability analyses of the model at equilibrium was carried out. The analyses showed that disease free-equilibrium is stable when R 0 < 1 and unstable when R 0 > 1. Global stability analyses were also performed for the models using analytic methods of Lyapunov function approach. The model is then extended to optimal control by adding time-dependent controls. The model was analysed qualitatively with Pontryagin’s Maximum principle. Numerical simulations were carried out for the model by designing an iterative scheme that used a fourth-order Runge Kutta method. The numerical analyses also determine the effective strategy in controlling the disease. Best control strategy is education and sensitisation of the public on the dangers and possible causes of the infection.
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来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
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.
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