Dickison Mark, Havlin S, Stanley H E
Center for Polymer Studies, Physics Department, Boston University, Boston, Massachusetts 02215, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jun;85(6 Pt 2):066109. doi: 10.1103/PhysRevE.85.066109. Epub 2012 Jun 8.
Populations are seldom completely isolated from their environment. Individuals in a particular geographic or social region may be considered a distinct network due to strong local ties but will also interact with individuals in other networks. We study the susceptible-infected-recovered process on interconnected network systems and find two distinct regimes. In strongly coupled network systems, epidemics occur simultaneously across the entire system at a critical infection strength β(c), below which the disease does not spread. In contrast, in weakly coupled network systems, a mixed phase exists below β(c) of the coupled network system, where an epidemic occurs in one network but does not spread to the coupled network. We derive an expression for the network and disease parameters that allow this mixed phase and verify it numerically. Public health implications of communities comprising these two classes of network systems are also mentioned.
种群很少能完全与它们的环境隔离开来。由于紧密的本地联系,特定地理或社会区域内的个体可能被视为一个独特的网络,但也会与其他网络中的个体相互作用。我们研究了相互连接的网络系统上的易感-感染-康复过程,并发现了两种不同的状态。在强耦合网络系统中,当感染强度达到临界值β(c)时,流行病会在整个系统中同时爆发,低于这个值疾病就不会传播。相比之下,在弱耦合网络系统中,在耦合网络系统的β(c)以下存在一个混合阶段,其中一种流行病在一个网络中爆发,但不会传播到耦合网络。我们推导出了允许这种混合阶段的网络和疾病参数的表达式,并通过数值验证了它。还提到了由这两类网络系统组成的社区对公共卫生的影响。