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中文摘要：
多种传播体的交互作用会改变彼此的传播阈值和传播范围,这为病毒的免疫方法提供了新的思路。免疫体可以像病毒一样在宿主群中传播。被免疫体感染的宿主将免于被病毒感染,同时还可以将免疫体传播到它的邻居。针对病毒和免疫体在同一群体但在不同传播途径上传播的情形,采用仓室理论在双层耦合网络上建立了两种传播体交互传播的模型,并提出了评价免疫效果的指标。在人工合成网络和实际网络上的模拟表明,免疫传播可以显著降低病毒的传播范围和速度,并且存在低资源消耗和高免疫效果的理想免疫参数点。免疫传播对病毒传播有显著的抑制作用。
英文摘要：
The interaction propagations between multiple pathogens can change propagation threshold and steady-state density of each other. This provides a new thinking of the virus immune method. This paper developed an interaction spread model between viruses and immune agents using compartment theory on the double coupling networks and proposed the evaluation indexes of immune effect. The immune agents could spread in host group just as the viruses do. Each node infected by immune agents would be free from viruses and propagate immune agents to its neighbor nodes with some probability. Viruses and immune agents may spread in the same host group but different transmission pathway. Simulation experiments show that immune transmissions reduce significantly the range and speed of virus transmissions on the synthetic networks and real networks. There are ideal immune parameters with low resource consumption and highly immune effect. The spread method of immunization agents can bring obviously immune effects on the virus prevention.
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