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用蒙特卡罗技术模拟的病毒流行模型的参数敏感性。II. 持续时间和峰值。

Parameter sensitivity of a model of viral epidemics simulated with Monte Carlo techniques. II. Durations and peaks.

作者信息

Ma J Z, Ackerman E

机构信息

University of Minnesota, Minneapolis 55455.

出版信息

Int J Biomed Comput. 1993 May;32(3-4):255-68. doi: 10.1016/0020-7101(93)90018-2.

Abstract

This is the second of a series of papers concerning sensitivity analyses of stochastic micropopulation models. A model of epidemic spread of viral infection is used in the series to illustrate the principles and performance of the sensitivity analysis system. For these studies the analysis system now known as SENSEN was redesigned; it can be used with any specialization of the SUMMERS simulation shell. Previous applications of SENSEN and its predecessors studied the sensitivity simultaneously to at most six input parameters. The applicability of SENSEN when twelve input parameters are selected is illustrated by sensitivity analyses of epidemic durations. A time-related output, day of the epidemic at which the peak number of cases are present, is also studied.

摘要

这是关于随机微种群模型敏感性分析系列论文中的第二篇。该系列论文使用了一个病毒感染的流行传播模型来说明敏感性分析系统的原理和性能。在这些研究中,对目前称为SENSEN的分析系统进行了重新设计;它可与SUMMERS模拟外壳的任何特定版本一起使用。SENSEN及其前身的先前应用最多同时研究了对六个输入参数的敏感性。通过对流行持续时间的敏感性分析说明了选择十二个输入参数时SENSEN的适用性。还研究了一个与时间相关的输出,即出现病例数峰值时的流行天数。

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