Schumm Phillip, Scoglio Caterina, Zhang Qian, Balcan Duygu
USDA-ARS, Center for Grain and Animal Health Research, Arthropod Borne Animal Diseases Research Unit, 1515 College Avenue, Manhattan, KS 66502, USA.
Kansas State University, Electrical and Computer Engineering Department, Epicenter, USA.
J Theor Biol. 2015 Feb 21;367:203-221. doi: 10.1016/j.jtbi.2014.12.007. Epub 2014 Dec 16.
Through the characterization of a metapopulation cattle disease model on a directed network having source, transit, and sink nodes, we derive two global epidemic invasion thresholds. The first threshold defines the conditions necessary for an epidemic to successfully spread at the global scale. The second threshold defines the criteria that permit an epidemic to move out of the giant strongly connected component and to invade the populations of the sink nodes. As each sink node represents a final waypoint for cattle before slaughter, the existence of an epidemic among the sink nodes is a serious threat to food security. We find that the relationship between these two thresholds depends on the relative proportions of transit and sink nodes in the system and the distributions of the in-degrees of both node types. These analytic results are verified through numerical realizations of the metapopulation cattle model.
通过对具有源节点、中转节点和汇节点的有向网络上的集合种群牛病模型进行特征描述,我们得出了两个全局疫情入侵阈值。第一个阈值定义了疫情在全球范围内成功传播所需的条件。第二个阈值定义了允许疫情移出巨型强连通分量并入侵汇节点种群的标准。由于每个汇节点代表牛在屠宰前的最终目的地,汇节点中存在疫情对食品安全构成严重威胁。我们发现,这两个阈值之间的关系取决于系统中中转节点和汇节点的相对比例以及两种节点类型的入度分布。这些分析结果通过集合种群牛模型的数值实现得到了验证。