Countermeasures simulation research for pandemic influenza A (H1N1) based on dynamic social contact network

This paper proposed a dynamic social contact network (DSCN) model algorithm which could get the structure characteristics of small-world (SW) network and scale-free (SF) network simultaneity. After discussing the development course of the H1N1 instance and the transmission parameters,studied the trend of pandemic influenza A (H1N1) based on the DSCN model under four countermeasures including isolation,random immunization,acquaintance immunization and target immunization by simulation. The simulation results indicate that target immunization is the most effective to stop the epidemic in the four countermeasures mentioned above. These results support both theory and practice for disease social transmission.