【2h】

R0: Host Longevity Matters

机译:R0:主机寿命事项

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摘要

The basic reproduction ratio, R0, is a fundamental concept in epidemiology. It is defined as the total number of secondary infections brought on by a single primary infection, in a totally susceptible population. The value of R0 indicates whether a starting epidemic reaches a considerable part of the population and causes a lot of damage, or whether it remains restricted to a relatively small number of individuals. To calculate R0 one has to evaluate an integral that ranges over the duration of the infection of the host. This duration is, of course, limited by remaining host longevity. So, R0 depends on remaining host longevity and in this paper we show that for long-lived hosts this aspect may not be ignored for long-lasting infections. We investigate in particular how this epidemiological measure of pathogen fitness depends on host longevity. For our analyses we adopt and combine a generic within- and between-host model from the literature. To find the optimal strategy for a pathogen from an evolutionary point of view, we focus on the indicator R0opt, i.e., the optimum of R0 as a function of its replication and mutation rates. These are the within-host parameters that the pathogen has at its disposal to optimize its strategy. We show that R0opt is highly influenced by remaining host longevity in combination with the contact rate between hosts in a susceptible population. In addition, these two parameters determine whether a killer-like or a milker-like strategy is optimal for a given pathogen. In the killer-like strategy the pathogen has a high rate of reproduction within the host in a short time span causing a relatively short disease, whereas in the milker-like strategy the pathogen multiplies relatively slowly, producing a continuous small amount of offspring over time with a small effect on host health. The present research allows for the determination of a bifurcation line in the plane of host longevity versus contact rate that forms the boundary between the milker-like and killer-like regions. This plot shows that for short remaining host longevities the killer-like strategy is optimal, whereas for very long remaining host longevities the milker-like strategy is advantageous. For in-between values of host longevity, the contact rate determines which of both strategies is optimal.Electronic supplementary materialThe online version of this article (10.1007/s10441-018-9315-1) contains supplementary material, which is available to authorized users.
机译:基本繁殖率R0是流行病学的基本概念。它定义为在完全易感人群中由一次原发感染引起的继发感染总数。 R0的值表示初始流行病是否已扩散到人口的相当一部分并造成大量损失,还是仅局限于相对少数的人。为了计算R0,必须评估一个在宿主感染持续时间内变化的积分。当然,此持续时间受剩余主机寿命的限制。因此,R0取决于剩余的主机寿命,并且在本文中我们表明,对于长寿命的主机,对于持久感染而言,这一方面可能不容忽视。我们特别调查这种病原体适应性的流行病学测量如何取决于宿主的寿命。对于我们的分析,我们采用并结合了文献中通用的宿主内部和宿主之间模型。为了从进化的角度寻找病原体的最佳策略,我们关注指标 R 0 opt ,即,R0的最佳值取决于其复制和突变率。这些是病原体可用来优化其策略的宿主内参数。我们显示 R 0 opt 受剩余主机寿命以及主机中主机之间接触率的高度影响易感人群。另外,这两个参数确定对于给定的病原体,杀手样或挤奶样策略是否最佳。在类似杀手的策​​略中,病原体在短时间内在宿主内具有较高的繁殖速率,从而导致相对较短的疾病,而在类似挤奶的策略中,病原体繁殖相对较慢,随着时间的推移会连续产生少量后代对宿主健康的影响很小。本研究允许确定在宿主寿命与接触速率平面内的分叉线,该分叉线形成了挤奶样区域和杀手样区域之间的边界。该图表明,对于短期剩余的宿主寿命,类似杀手的策​​略是最佳的,而对于非常长时间的宿主寿命,类似挤奶的策略是有利的。对于主机寿命的中间值,接触率确定这两种策略中的哪一种是最佳的。电子补充材料本文的在线版本(10.1007 / s10441-018-9315-1)包含补充材料,授权用户可以使用。

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