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将 HIV 的免疫学和流行病学动态联系起来:超级感染的案例。

Linking immunological and epidemiological dynamics of HIV: the case of super-infection.

机构信息

Department of Mathematics, University of Florida, 358 Little Hall, PO Box 118105, Gainesville, FL 32611-8105, USA.

出版信息

J Biol Dyn. 2013;7(1):161-82. doi: 10.1080/17513758.2013.820358.

Abstract

In this paper, a two-strain model that links immunological and epidemiological dynamics across scales is formulated. On the within-host scale, the two strains eliminate each other with the strain with the larger immunological reproduction persisting. However, on the population scale superinfection is possible, with the strain with larger immunological reproduction number super-infecting the strain with the smaller immunological reproduction number. The two models are linked through the age-since-infection structure of the epidemiological variables. In addition, the between-host transmission and the disease-induced death rate depend on the within-host viral load. The immunological reproduction numbers, the epidemiological reproduction numbers and invasion reproduction numbers are computed. Besides the disease-free equilibrium, there are two population-level strain one and strain two isolated equilibria, as well as a population-level coexistence equilibrium when both invasion reproduction numbers are greater than one. The single-strain population-level equilibria are locally asymptotically stable suggesting that in the absence of superinfection oscillations do not occur, a result contrasting previous studies of HIV age-since-infection structured models. Simulations suggest that the epidemiological reproduction number and HIV population prevalence are monotone functions of the within-host parameters with reciprocal trends. In particular, HIV medications that decrease within-host viral load also increase overall population prevalence. The effect of the immunological parameters on the population reproduction number and prevalence is more pronounced when the initial viral load is lower.

摘要

本文构建了一个跨尺度的两菌株模型,将免疫和流行病学动态联系起来。在宿主内尺度上,两种菌株相互消除,具有较大免疫繁殖力的菌株持续存在。然而,在种群尺度上,超感染是可能的,具有较大免疫繁殖数的菌株会超感染具有较小免疫繁殖数的菌株。这两个模型通过流行病学变量的感染后年龄结构联系起来。此外,宿主间传播和疾病致死率取决于宿主内病毒载量。计算了免疫繁殖数、流行病学繁殖数和入侵繁殖数。除了无病平衡点外,还有两个种群水平的菌株一和菌株二隔离平衡点,以及当两个入侵繁殖数都大于一时的种群水平共存平衡点。单株种群水平平衡点是局部渐近稳定的,这表明在没有超感染的情况下,不会发生振荡,这与之前对 HIV 年龄感染结构模型的研究结果形成对比。模拟表明,流行病学繁殖数和 HIV 种群流行率是宿主内参数的单调函数,呈相反趋势。特别是,降低宿主内病毒载量的 HIV 药物也会增加总体人群流行率。当初始病毒载量较低时,免疫参数对种群繁殖数和流行率的影响更为显著。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bed1/3756640/484d6bdb5e94/tjbd7_161_f1.jpg

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