Department of Mathematics, University of Benin, Benin City, Nigeria.
Bull Math Biol. 2018 Mar;80(3):437-492. doi: 10.1007/s11538-017-0384-0. Epub 2017 Dec 27.
The re-emergence of syphilis has become a global public health issue, and more persons are getting infected, especially in developing countries. This has also led to an increase in the incidence of human immunodeficiency virus (HIV) infections as some studies have shown in the recent decade. This paper investigates the synergistic interaction between HIV and syphilis using a mathematical model that assesses the impact of syphilis treatment on the dynamics of syphilis and HIV co-infection in a human population where HIV treatment is not readily available or accessible to HIV-infected individuals. In the absence of HIV, the syphilis-only model undergoes the phenomenon of backward bifurcation when the associated reproduction number ([Formula: see text]) is less than unity, due to susceptibility to syphilis reinfection after recovery from a previous infection. The complete syphilis-HIV co-infection model also undergoes the phenomenon of backward bifurcation when the associated effective reproduction number ([Formula: see text]) is less than unity for the same reason as the syphilis-only model. When susceptibility to syphilis reinfection after treatment is insignificant, the disease-free equilibrium of the syphilis-only model is shown to be globally asymptotically stable whenever the associated reproduction number ([Formula: see text]) is less than unity. Sensitivity and uncertainty analysis show that the top three parameters that drive the syphilis infection (with respect to the associated response function, [Formula: see text]) are the contact rate ([Formula: see text]), modification parameter that accounts for the increased infectiousness of syphilis-infected individuals in the secondary stage of the infection ([Formula: see text]) and treatment rate for syphilis-only infected individuals in the primary stage of the infection ([Formula: see text]). The co-infection model was numerically simulated to investigate the impact of various treatment strategies for primary and secondary syphilis, in both singly and dually infected individuals, on the dynamics of the co-infection of syphilis and HIV. It is observed that if concerted effort is exerted in the treatment of primary and secondary syphilis (in both singly and dually infected individuals), especially with high treatment rates for primary syphilis, this will result in a reduction in the incidence of HIV (and its co-infection with syphilis) in the population.
梅毒的再现已成为全球公共卫生问题,越来越多的人受到感染,尤其是在发展中国家。这也导致人类免疫缺陷病毒 (HIV) 感染的发病率上升,正如最近十年的一些研究所示。本文使用数学模型研究了 HIV 和梅毒之间的协同作用,该模型评估了在 HIV 治疗不易获得或无法获得感染 HIV 的个体的情况下,梅毒治疗对人群中梅毒和 HIV 合并感染动态的影响。在没有 HIV 的情况下,当相关繁殖数 ([Formula: see text]) 小于 1 时,仅存在梅毒的模型会出现反向分歧现象,这是由于从先前感染中恢复后对梅毒再感染的易感性所致。由于与仅存在梅毒的模型相同的原因,当相关有效繁殖数 ([Formula: see text]) 小于 1 时,完整的梅毒-HIV 合并感染模型也会出现反向分歧现象。当治疗后对梅毒再感染的易感性不重要时,只要相关繁殖数 ([Formula: see text]) 小于 1,仅存在梅毒的模型的无病平衡点就被证明是全局渐近稳定的。敏感性和不确定性分析表明,驱动梅毒感染的前三个参数(相对于相关响应函数 [Formula: see text])是接触率 ([Formula: see text])、用于在感染的第二阶段增加梅毒感染个体传染性的修正参数 ([Formula: see text]) 和感染的第一阶段仅感染梅毒个体的治疗率 ([Formula: see text])。对合并感染模型进行了数值模拟,以研究在单一和双重感染个体中,各种针对原发性和继发性梅毒的治疗策略对梅毒和 HIV 合并感染动态的影响。结果表明,如果在治疗原发性和继发性梅毒(包括单一和双重感染个体)方面做出协同努力,特别是对原发性梅毒的高治疗率,这将导致人群中 HIV(及其与梅毒的合并感染)发病率降低。