A simple cellular automaton model for influenza A viral infections
A simple cellular automaton model for influenza A viral infections
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DOI：
10.1016/j.jtbi.2004.08.001
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发表时间：
2005-01-21
影响因子：
2
通讯作者：
Tuszynski, J
中科院分区：
文献类型：
--
作者：
Beauchemin, C;Samuel, J;Tuszynski, J
在过去，通过使用描述疾病状态的时间演化的空间齐次常微分方程式来广泛地研究病毒动力学。然而，空间特征，如死亡细胞的局部种群，可能会对感染的传播产生不利影响，类似于逆火可以阻止森林大火蔓延的方式。为了研究空间异质性对病毒传播的影响，建立了一个简单的病毒感染的2-D元胞自动机模型。在这项研究的初始阶段，CA模型针对无并发症的甲型流感感染的临床免疫学数据进行了验证。我们的结果将被展示和讨论。(C)2004爱思唯尔有限公司。保留所有权利。
Viral kinetics have been extensively studied in the past through the use of spatially homogeneous ordinary differential equations describing the time evolution of the diseased state. However, spatial characteristics such as localized populations of dead cells might adversely affect the spread of infection, similar to the manner in which a counter-fire can stop a forest fire from spreading. In order to investigate the influence of spatial heterogeneities on viral spread, a simple 2-D cellular automaton (CA) model of a viral infection has been developed. In this initial phase of the investigation, the CA model is validated against clinical immunological data for uncomplicated influenza A infections. Our results will be shown and discussed. (C) 2004 Elsevier Ltd. All rights reserved.