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关于成对模型的早期疫情动态。

On the early epidemic dynamics for pairwise models.

机构信息

Departament d׳Informàtica, Matemàtica Aplicada i Estadística, Universitat de Girona, 17071 Girona, Catalonia, Spain.

Departament d׳Informàtica, Matemàtica Aplicada i Estadística, Universitat de Girona, 17071 Girona, Catalonia, Spain.

出版信息

J Theor Biol. 2014 Jul 7;352:71-81. doi: 10.1016/j.jtbi.2014.02.037. Epub 2014 Mar 6.

Abstract

The relationship between the basic reproduction number R0 and the exponential growth rate, specific to pair approximation models, is derived for the SIS, SIR and SEIR deterministic models without demography. These models are extended by including a random rewiring of susceptible individuals from infectious (and exposed) neighbours. The derived relationship between the exponential growth rate and R0 appears as formally consistent with those derived from homogeneous mixing models, enabling us to measure the transmission potential using the early growth rate of cases. On the other hand, the algebraic expression of R0 for the SEIR pairwise model shows that its value is affected by the average duration of the latent period, in contrast to what happens for the homogeneous mixing SEIR model. Numerical simulations on complex contact networks are performed to check the analytical assumptions and predictions.

摘要

针对 SIS、SIR 和 SEIR 无人口统计学确定性模型,导出了基本繁殖数 R0 与特定于对逼近模型的指数增长率之间的关系。通过包括将易感染个体从感染(和暴露)邻居中随机重新连接,扩展了这些模型。导出的指数增长率与 R0 之间的关系在形式上与从均匀混合模型得出的关系一致,使我们能够使用病例的早期增长率来衡量传播潜力。另一方面,SEIR 对模型的 R0 的代数表达式表明,其值受到潜伏期平均持续时间的影响,这与均匀混合 SEIR 模型的情况不同。在复杂的接触网络上进行数值模拟,以检查分析假设和预测。

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