乙型肝炎病毒在中国同性恋和异性恋传播的模型。

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2021-12-01 DOI:10.1080/17513758.2021.1896797
Min Lu, Yaqin Shu, Jicai Huang, Shigui Ruan, Xinan Zhang, Lan Zou
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引用次数: 0

摘要

研究表明,性传播,无论是异性恋还是同性恋,都是HBV感染的主要途径之一。基于这一事实,我们提出了一个数学模型来研究成人中HBV的性传播,将成人分为男性和女性,并考虑成人中HBV的同性和异性传播。首先计算基本繁殖数R0和无病平衡点E0。其次,通过分析R0对模型参数的敏感性,我们发现同性伴侣的感染率、同性接触的频率和成年人的免疫率在HBV的传播中起重要作用。结果表明,在居民中普及乙肝基本知识,倡导健康合理的性生活方式,减少成人乙肝病毒携带者数量,提高成人乙肝疫苗接种率是预防和控制乙肝病毒的有效措施。
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Modelling homosexual and heterosexual transmissions of hepatitis B virus in China.

Studies have shown that sexual transmission, both heterosexually and homosexually, is one of the main ways of HBV infection. Based on this fact, we propose a mathematical model to study the sexual transmission of HBV among adults by classifying adults into men and women and considering both same-sex and opposite-sex transmissions of HBV in adults. Firstly, we calculate the basic reproduction number R0 and the disease-free equilibrium point E0. Secondly, by analysing the sensitivity of R0 in terms of model parameters, we find that the infection rate among people who have same-sex partners, the frequency of homosexual contact and the immunity rate of adults play important roles in the transmission of HBV. Moreover, we use our model to fit the reported data in China and forecast the trend of hepatitis B. Our results demonstrate that popularizing the basic knowledge of HBV among residents, advocating healthy and reasonable sexual life style, reducing the number of adult carriers, and increasing the immunization rate of adults are effective measures to prevent and control hepatitis B.

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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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