Contributions of the elderly to the transmission of HIV/AIDS in China

IF 2.5 3区 医学 Q1 Medicine
Shanshan Feng , Wan-Ting Cheng , Xing Li, Xiaofeng Luo
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引用次数: 0

Abstract

In recent years, the number of HIV/AIDS cases shows an upward trend in China, particularly among the elderly, exerting severe effects on public health and social economy. This paper proposes an HIV/AIDS model incorporating sexual transmission and age structure to study the influence of the elderly on HIV/AIDS spread. Theoretically, the explicit expression for the basic reproduction number is obtained, the globally asymptotically stability of disease-free equilibrium and existence and uniqueness of boundary equilibrium are proved. Numerically, we verify the theoretical results. Based on HIV/AIDS data in Sichuan Province, China, four key parameters of the model are estimated. According to the estimated parameters, we find that homosexual transmission plays an important role in newly HIV/AIDS cases among the elderly in recent years. Sensitivity analysis also shows that homosexual transmission in the elderly has the greatest effect on the basic reproduction number. This study not only contributes to a comprehensive understanding of the dynamical spread process of HIV/AIDS but also provides valuable experience for other sexually transmitted diseases.
中国老年人对艾滋病传播的贡献
近年来,中国艾滋病毒/艾滋病病例呈上升趋势,特别是在老年人中,对公共卫生和社会经济造成了严重影响。本文提出了一个结合性传播和年龄结构的HIV/AIDS模型,研究老年人对HIV/AIDS传播的影响。从理论上得到了基本繁殖数的显式表达式,证明了无病平衡点的全局渐近稳定性和边界平衡点的存在唯一性。数值上验证了理论结果。基于四川省HIV/AIDS数据,估计了模型的四个关键参数。根据估计的参数,我们发现同性恋传播在近年来老年人艾滋病新发病例中起着重要作用。敏感性分析还表明,老年人中同性恋传播对基本繁殖数的影响最大。该研究不仅有助于全面了解艾滋病的动态传播过程,而且为其他性传播疾病的防治提供了宝贵的经验。
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
Infectious Disease Modelling
Infectious Disease Modelling Mathematics-Applied Mathematics
CiteScore
17.00
自引率
3.40%
发文量
73
审稿时长
17 weeks
期刊介绍: Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.
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