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Modelling the HIV/AIDS epidemic trends in South Africa: Insights from a simple mathematical model

机译:南非艾滋病毒/艾滋病流行趋势建模:来自简单数学模型的见解

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摘要

The HIV/AIDS epidemic is a serious public health challenge in South Africa. In this paper, a simple deterministic HIV/AIDS model incorporating condom use, sexual partner acquisition, behavior change and treatment as HIV/AIDS control strategies is formulated using a system of ordinary differential equations with the object of applying it to the current South African situation. Firstly, a theoretical analysis of the model is presented. The analysis of the model shows that the disease free equilibrium point is globally asymptotically stable for the epidemic threshold R (the model reproduction number) less than unit and unstable when this threshold is greater than unit. A unique endemic equilibrium, whose local stability near the threshold R, is determined using the center manifold theory, is shown to be locally asymptotically stable for R>1. Global stability of the endemic equilibrium is shown for a special case whenever R>1. Secondly, the model is fitted to data from UNAIDS/WHO on HIV/AIDS in South Africa. Based on the fit to the prevalence data, projections are made beyond 2007 on the course of the epidemic for various levels of interventions. The results compare very well with other research outcomes on the HIV/AIDS epidemic in South Africa. Projections are made to track the changes in the number of individuals who will be under treatment, an important group as far as public health planning is concerned. The epidemiological implications of such projections on public health planning and management are discussed.
机译:在南非,艾滋病毒/艾滋病的流行是严重的公共卫生挑战。在本文中,使用常微分方程组建立了一个简单的确定性HIV / AIDS模型,该模型将使用安全套,获取性伴侣,改变行为和治疗作为HIV / AIDS控制策略,目的是将其应用于当前的南非情况。首先,对模型进行了理论分析。对模型的分析表明,当流行阈值R(模型复制数)小于单位时,无病平衡点在全局上渐近稳定,而当阈值大于单位时,疾病平衡点则不稳定。使用中心流形理论确定了一个独特的地方均衡,其在阈值R附近的局部稳定性由R> 1表示为局部渐近稳定。当R> 1时,在特殊情况下显示出地方均衡的全局稳定性。其次,该模型适合联合国艾滋病规划署/世界卫生组织关于南非艾滋病毒/艾滋病的数据。基于对流行率数据的拟合度,对2007年以后流行病的流行程度进行了各种干预措施的预测。该结果与南非有关艾滋病毒/艾滋病流行的其他研究结果相比较非常好。进行了预测以跟踪将要接受治疗的人数的变化,就公共卫生计划而言,这是一个重要的群体。讨论了这种预测对公共卫生计划和管理的流行病学意义。

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