Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community–resident complex networks

Abstract

This paper constructs a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. The research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation, and treatment strategies at the community level are essential for controlling the spread of the epidemic. Additionally, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.