Song Zhichao, Ge Yuanzheng, Luo Lei, Duan Hong, Qiu Xiaogang
College of Information System and Management, National University of Defense Technology, 410073, Changsha, China.
Aeronautical University of China People Liberation Airforce, 130012, Changchun, China.
Physica A. 2015 Dec 1;439:142-149. doi: 10.1016/j.physa.2015.07.034. Epub 2015 Aug 6.
Social contact between individuals is the chief factor for airborne epidemic transmission among the crowd. Social contact networks, which describe the contact relationships among individuals, always exhibit overlapping qualities of communities, hierarchical structure and spatial-correlated. We find that traditional global targeted immunization strategy would lose its superiority in controlling the epidemic propagation in the social contact networks with modular and hierarchical structure. Therefore, we propose a hierarchical targeted immunization strategy to settle this problem. In this novel strategy, importance of the hierarchical structure is considered. Transmission control experiments of influenza H1N1 are carried out based on a modular and hierarchical network model. Results obtained indicate that hierarchical structure of the network is more critical than the degrees of the immunized targets and the modular network layer is the most important for the epidemic propagation control. Finally, the efficacy and stability of this novel immunization strategy have been validated as well.
个体之间的社交接触是人群中空气传播性流行病传播的主要因素。描述个体间接触关系的社交接触网络总是呈现出社区重叠性、层级结构和空间相关性。我们发现，传统的全局靶向免疫策略在控制具有模块化和层级结构的社交接触网络中的疫情传播时会失去其优势。因此，我们提出一种层级靶向免疫策略来解决这一问题。在这种新策略中，考虑了层级结构的重要性。基于一个模块化和层级网络模型开展了甲型H1N1流感的传播控制实验。所得结果表明，网络的层级结构比被免疫目标的度数更为关键，并且模块化网络层对疫情传播控制最为重要。最后，这种新型免疫策略的有效性和稳定性也得到了验证。
