艾滋病毒/艾滋病严重阶段机会性感染的人口动态建模。

IF 2.6 4区 工程技术 Q1 Mathematics
Mozart Umba Nsuami, Peter Joseph Witbooi
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引用次数: 0

摘要

在本文中,我们提出了HIV/AIDS群体动态的确定性模型,其中一些处于HIV严重症状期的个体由于治疗不当或缺乏咨询而发展出严重的机会性感染(oi),如隐球菌、结核、肺炎球菌和其他细菌性脑膜炎。在许多国家,oi是造成艾滋病毒感染者大量死亡和残疾的原因。在资源有限的情况下,隐球菌性脑膜炎(CM)是造成艾滋病毒感染者严重死亡和残疾的常见oi之一。然而,在未感染艾滋病毒的个体中,也有因CM而导致高死亡率的病例,但CM的负担在艾滋病毒感染者中更为常见。证明了无病平衡点和地方性平衡点的全局稳定性。此外,我们还进行了基本繁殖数与模型参数的敏感性分析研究,以及与部分房室类的敏感性分析研究。我们通过对南非自2024年以来艾滋病毒历史数据的投影进行数值模拟来说明我们的理论结果。我们的分析表明,抗逆转录病毒治疗和成骨不全症特异性治疗的结合可能会减少与死亡相关的病例数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling the population dynamics of HIV/AIDS with opportunistic infections at the severe stage of HIV.

In this paper, we present a deterministic model for the population dynamics of HIV/AIDS, wherein some individuals at the severe symptomatic phase of HIV develop serious opportunistic infections (OIs) such cryptococcal, tuberculous, pneumococcal, and other bacterial meningitis due to an inappropriate treatment or lack of counseling. OIs are responsible for significant mortality and disability on individuals with HIV in many countries. Cryptococcal meningitis (CM) is among frequent OIs responsible for significant mortality and disability of individuals with HIV in limited resource settings. However, there are also cases of high mortality due to CM on HIV-uninfected individuals, but the burden of CM is more frequent in people living with HIV. We proved the global stability of the disease-free as well as the endemic equilibrium points. In addition, we performed the study of sensitivity analysis of the basic reproduction number with the parameters of the model as well as with some compartmental classes. We illustrated our theoretical results by way of numerical simulations using a projection on the HIV historical data of South Africa since 2024. Our analysis showed that a combination of ART and OI specific treatments may reduce the number of death related cases.

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来源期刊
Mathematical Biosciences and Engineering
Mathematical Biosciences and Engineering 工程技术-数学跨学科应用
CiteScore
3.90
自引率
7.70%
发文量
586
审稿时长
>12 weeks
期刊介绍: Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing. MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).
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