Engida Endriyas Endashaw, T. Mekonnen
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引用次数: 6

摘要

乙型肝炎和艾滋病毒/艾滋病合并感染由于其传播方式相似,在全球很常见。由于HIV感染通过增加慢性率、延长HBV病毒血症和增加肝病相关死亡率来改变HBV感染的过程,因此两种疾病合并感染的个体发展为肝硬化的趋势更高,HBV DNA水平更高,乙型肝炎e抗原(HBeAg)清除率降低,并且比单一感染的个体更有可能死亡。这种HBV-HIV/AIDS合并感染的性质促使我们进行这项研究。在本文中,我们提出并严格分析了一个确定性数学模型,目的是研究乙型肝炎病毒疫苗接种和所有感染的治疗对人群中HBV-HIV/AIDS合并感染的传播动态的影响。证明了子模型和共感染模型的解是正有界的。利用微分方程的稳定性理论对模型进行了定性研究,并利用次世代矩阵法推导了模型的有效再现数。利用Routh-Hurwitz准则分析了子模型和共感染模型平衡点的稳定性。计算了子模型和共感染模型的无病平衡点和地方病平衡点,并讨论了平衡点的局部和全局渐近稳定条件。我们对不同参数对HBV-HIV/AIDS共感染模型有效繁殖数的影响进行了敏感性分析,发现最敏感的参数是ω B和ω H,它们分别是HBV和HIV传播的有效接触率。利用MATLAB对该模型进行了数值仿真,并对仿真结果进行了讨论。可以观察到,如果疫苗接种率和治疗率增加,那么感染和HBV-HIV/AIDS合并感染的易感个体数量会减少,甚至随着时间的推移降至零。因此,预防乙型肝炎病毒感染,治疗乙型肝炎和艾滋病毒/艾滋病感染,以及尽可能高的乙型肝炎-艾滋病毒/艾滋病感染是控制乙型肝炎-艾滋病毒/艾滋病合并感染传播的重要公共卫生问题。
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Modeling the Effect of Vaccination and Treatment on the Transmission Dynamics of Hepatitis B Virus and HIV/AIDS Coinfection
Hepatitis B and HIV/AIDS coinfections are common globally due to their similar mode of transmission. Since HIV infection modifies the course of HBV infection by increasing the rate of chronicity, prolonging HBV viremia, and increasing liver disease-associated deaths, individuals with coinfection of both diseases have a higher tendency of developing cirrhosis of the liver, higher levels of HBV DNA, reduced rate of clearance of the hepatitis B e antigen (HBeAg), and more likely to die than an individual with a single infection. This nature of HBV-HIV/AIDS coinfection motivated us to conduct this study. In this paper, we proposed and rigorously analyzed a deterministic mathematical model with the aim of investigating the effect of vaccination against hepatitis B virus and treatment for all infections on the transmission dynamics of HBV-HIV/AIDS coinfection in a population. We proved that the solutions of the submodels and the coinfection model are positive and bounded. The models are studied qualitatively using the stability theory of differential equations, and the effective reproduction numbers of the models are derived using the next generation matrix method. Stability of the equilibria of the submodels and the coinfection model is analyzed using Routh-Hurwitz criteria. The disease-free and endemic equilibria of the submodels and the coinfection model are computed, and both local and global asymptotic stability conditions for those equilibria are discussed. We performed a sensitivity analysis to illustrate the influence of different parameters on the effective reproduction number of HBV-HIV/AIDS coinfection model, and we identified the most sensitive parameters are ω B and ω H , which are the effective contact rates for HBV and HIV transmission, respectively. The numerical simulation of the model is done using MATLAB, and the findings from the simulations are discussed. It is observed that if the vaccination and treatment rates are increased, then the number of individuals susceptible to both infections and HBV-HIV/AIDS coinfection decreases and even falls to zero over time. Hence, it is concluded that vaccination against hepatitis B virus infection, treatment of hepatitis B and HIV/AIDS infections, and HBV-HIV/AIDS infection at the highest possible rate is very essential to control the spread of HBV-HIV/AIDS coinfection as an important public health problem.
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