乙型肝炎病毒感染的数学建模和数值模拟:布基纳法索案例

Adama Kiemtore, W. O. Sawadogo, Fatima Aquel, Hamza Alaa, K. S. Somda
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引用次数: 0

摘要

肝炎是一种病毒感染,可引起肝脏炎症,导致严重的肝损伤,甚至死亡。出于多种原因,对布基纳法索肝炎的研究至关重要。事实上,了解布基纳法索的肝炎流行病学有助于制定有效的预防和控制策略,对其进行研究有助于更好地了解该疾病的全球负担,并为世界其他地区制定有效的干预措施做出贡献。为此,我们建立了一个新的乙肝传播易感性和传染性差分数学模型,以模拟乙肝病毒在布基纳法索人口中的潜在传播。数学模型提出后,证明了非负解法的存在性和唯一性。当基本繁殖数 R01 时,该模型有一个全局渐近稳定的无病均衡;当 R0 > 1 时,有一个全局渐近稳定的流行均衡。利用 Castillo Chavez 方法[5]研究了无病平衡的全局渐进稳定性。Lyapunov函数和LaSalle不变性原理被用来证明地方病平衡的全局渐进稳定性[26, 4, 18]。为了模拟所提出的模型,我们开发了一套 Matlab 数值代码。利用布基纳法索的数据进行了数值模拟。所获得的数值结果证实了分析结果以及布基纳法索乙型肝炎的演变情况。
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Mathematical Modelling and Numerical Simulation of Hepatitis B Viral Infection: The Case of Burkina Faso
Hepatitis is a viral infection that can cause inflammation of the liver and lead to severe liver damage and even death. The study of hepatitis in Burkina Faso is crucial for several reasons. Indeed, understanding the epidemiology of hepatitis in Burkina Faso can help develop effective prevention and control strategies, and its study can contribute to a better understanding of the global burden of the disease and the development of effective interventions in other parts of the world. To this aim, a new differential susceptibility and infectivity mathematical model of Hepatitis B transmission was developed in order to simulate the potential spread of the Hepatitis B virus in the population of Burkina Faso. Once the mathematical model is presented, the existence and uniqueness of non-negative solutions are proved. The model has a globally asymptotically stable disease-free equilibrium when the basic reproduction number R01 and a globally asymptotically stable endemic equilibrium when R0 > 1. The global asymptotic stability of the disease-free equilibrium has been studied using the Castillo Chavez method [5]. The Lyapunov function and the LaSalle invariance principle are used to prove the global asymptotic stability of the endemic equilibrium [26, 4, 18]. To simulate the proposed model, a Matlab numerical code has been developed. Numerical simulations are performed using data of Burkina Faso. The obtained numerical results confirm analytical results as well as the evolution of hepatitis B in Burkina Faso.
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