A Computational Model of Mitigating Disease Spread in Spatial Networks
A Computational Model of Mitigating Disease Spread in Spatial Networks
复制标题
减轻空间网络中疾病传播的计算模型
DOI：
10.4018/jalr.2011040104
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
M. Ramanathan
中科院分区：
文献类型：
--
作者：
Taehyong Kim;Kang Li;A. Zhang;S. Sen;M. Ramanathan
这项研究研究了空间网络中疾病传播和遏制的问题，其中计算模型能够检测疾病进展以启动减轻感染传播的过程。本文重点研究从 1 x 1 单位方形空间网络中的中心点开始的疾病传播，并通过尝试选择性地破坏网络来使模型做出响应，从而遏制疾病传播。人们的注意力集中在疾病传播的运动学上，以及模型如何控制损害。此外，作者还分析了疾病进展对各种参数设置的敏感性以及模型参数的相关性。因此，这项研究表明，遏制过程的半径是最关键的参数，其最佳值与计算模型将有助于减少未来大流行疾病传播造成的损害。该研究可应用于控制空间网络中的其他病毒传播问题，例如地理网络中的疾病传播和脑细胞网络中的病毒传播。
This study examines the problem of disease spreading and containment in spatial networks, where the computational model is capable of detecting disease progression to initiate processes mitigating infection spreads. This paper focuses on disease spread from a central point in a 1 x 1 unit square spatial network, and makes the model respond by trying to selectively decimate the network and thereby contain disease spread. Attention is directed on the kinematics of disease spreading with respect to how damage is controlled by the model. In addition, the authors analyze both the sensitivity of disease progression on various parameter settings and the correlation of parameters of the model. As the result, this study suggests that the radius of containment process is the most critical parameter and its best values with the computational model would be a great help to reduce damages from disease spread of a future pandemic. The study can be applied to controlling other virus spread problems in spatial networks such as disease spread in a geographical network and virus spread in a brain cell network.
影响因子：
64.8
作者：
Smith, Gavin J. D.;Vijaykrishna, Dhanasekaran;Rambaut, Andrew
通讯作者：
Rambaut, Andrew