病毒的随机繁殖率

Richard Holden, D. J. Thornton
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引用次数: 2

摘要

我们考虑一个SIR模型,其中被感染个体和易感个体之间的感染概率被视为泊松试验。因此,成对易感感染配对之间的感染概率是有序统计量。这意味着繁殖率是一个随机变量。我们推导出Rt分布的前两个矩,条件是泊松试验在t-1时刻的可用信息,这些信息来自具有有限均值的任意母分布。我们表明,在人群中易感个体的比例中,Rt的方差正在增加,并且以前相同的人群在病毒的路径上可能表现出很大的差异。这对大流行期间的政策有若干影响。
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The Stochastic Reproduction Rate of a Virus
We consider an SIR model where the probability of infections between infected and susceptible individuals are viewed as Poisson trials. The probabilities of infection between pairwise susceptible-infected matches are thus order statistics. This implies that the reproduction rate is a random variable. We derive the first two moments of the distribution of Rt conditional on the information available at time t-1 for Poisson trials drawn from an arbitrary parent distribution with finite mean. We show that the variance of Rt is increasing in the proportion of susceptible individuals in the population, and that ex ante identical populations can exhibit large differences in the path of the virus. This has a number of implications for policy during pandemics.
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